royalsocietypublishing.org
Open in
urlscan Pro
2606:4700::6812:dfec
Public Scan
URL:
https://royalsocietypublishing.org/doi/10.1098/rsos.201351
Submission: On December 29 via manual from US — Scanned from DE
Submission: On December 29 via manual from US — Scanned from DE
Form analysis
7 forms found in the DOMPOST /action/doLogin
<form action="/action/doLogin" method="post"><input type="hidden" name="id" value="deb5c565-f3ea-4c33-ae31-7ff637e506f7">
<input type="hidden" name="redirectUri" value="/doi/10.1098/rsos.201351">
<input type="hidden" name="loginUri" value="/doi/10.1098/rsos.201351">
<input type="hidden" name="popup" value="true">
<div class="input-group">
<div class="label ">
<label for="login">Email</label>
</div>
<input id="login" class="login" type="text" name="login" value="" size="15" placeholder="">
<div class="actions">
</div>
</div>
<div class="input-group">
<div class="label ">
<label for="password">Password</label>
</div>
<input id="password" class="password" type="password" name="password" value="" autocomplete="off" placeholder="">
<span class="password-eye-icon icon-eye hidden"></span>
<div class="actions">
<a href="/action/requestResetPassword" class="link show-request-reset-password pop-up">Forgot password?</a>
</div>
</div>
<div class="remember">
<div class="keepMeLogin">
<label for="deb5c565-f3ea-4c33-ae31-7ff637e506f7-remember">
<span class="label">Keep me logged in</span>
</label>
</div>
<div class="switch small-switch">
<input id="deb5c565-f3ea-4c33-ae31-7ff637e506f7-remember" class="cmn-toggle cmn-toggle-round-flat" type="checkbox" name="remember" value="true">
<label class="tgl-btn" for="deb5c565-f3ea-4c33-ae31-7ff637e506f7-remember"></label>
</div>
</div>
<div class="submit" disabled="disabled">
<input class="button submit primary" type="submit" name="loginSubmit" value="Login" disabled="disabled">
</div>
</form>
POST /action/changePassword
<form action="/action/changePassword" method="post">
<div class="message error"></div>
<input type="hidden" name="submit" value="submit">
<div class="input-group">
<div class="label">
<label for="bd32e27e-ff07-4630-b62e-937e38957c47-old">Old Password</label>
</div>
<input id="bd32e27e-ff07-4630-b62e-937e38957c47-old" class="old" type="password" name="old" value="" autocomplete="off">
<span class="password-eye-icon icon-eye hidden"></span>
</div>
<div class="input-group">
<div class="label">
<label for="bd32e27e-ff07-4630-b62e-937e38957c47-new">New Password</label>
</div>
<input id="bd32e27e-ff07-4630-b62e-937e38957c47-new" class="pass-hint new" type="password" name="new" value="" autocomplete="off">
<span class="password-eye-icon icon-eye hidden"></span>
<div class="password-strength-indicator" data-min="8" data-max="20" data-strength="3">
<span class="text too-short">Too Short</span>
<span class="text weak">Weak</span>
<span class="text medium">Medium</span>
<span class="text strong">Strong</span>
<span class="text very-strong">Very Strong</span>
<span class="text too-long">Too Long</span>
</div>
</div>
<input class="button primary submit" type="submit" value="Submit" disabled="disabled">
</form>
POST /action/registration
<form action="/action/registration" class="registration-form" method="post"><input type="hidden" name="redirectUri" value="/doi/10.1098/rsos.201351">
<div class="input-group">
<div class="label">
<label for="629f09a7-551b-4171-bcec-264739949d28.email">Email</label>
</div>
<input id="629f09a7-551b-4171-bcec-264739949d28.email" class="email" type="email" name="email" value="">
</div>
<div class="submit">
<input class="button submit primary" type="submit" value="Register" disabled="disabled">
</div>
</form>
POST /action/requestResetPassword
<form action="/action/requestResetPassword" class="request-reset-password-form" method="post"><input type="hidden" name="requestResetPassword" value="true">
<div class="input-group">
<div class="label">
<label for="c7ba7f6e-34f1-4fa9-ae1d-c9be01090636.email">Email</label>
</div>
<input id="c7ba7f6e-34f1-4fa9-ae1d-c9be01090636.email" class="email" type="text" name="email" value="" size="15">
</div>
<script src="//www.google.com/recaptcha/api.js?render=explicit&onload=loadRecaptcha&hl=en" async="" defer=""></script>
<div class="g-recaptcha explicit" data-sitekey="6Lc4HR8TAAAAAPFSxfchztMruqn2dTwPIQ9vaX9b"></div>
<input class="button primary submit" type="submit" name="submit" value="Submit" disabled="disabled">
</form>
POST /action/requestUsername
<form action="/action/requestUsername" method="post"><input type="hidden" name="requestUsername" value="requestUsername">
<div class="input-group">
<div class="label">
<label for="2f2f4da0-98a3-4035-8afa-a44548101aef.email">Email</label>
</div>
<input id="2f2f4da0-98a3-4035-8afa-a44548101aef.email" class="email" type="text" name="email" value="" size="15">
</div>
<div class="username-recaptcha-ajax"></div>
<input class="button primary submit" type="submit" name="submit" value="Submit" disabled="disabled">
<div class="center">
<a href="#" class="cancel">Close</a>
</div>
</form>
Name: defaultQuickSearch — GET /action/doSearch
<form action="/action/doSearch" name="defaultQuickSearch" method="get">
<fieldset>
<legend class="sr-only">Quick Search anywhere</legend>
<div class="input-group option-0 "><label for="AllField2af69538-c326-4a23-97d0-81fa0e2598ef0" class="sr-only">Enter words, phrases, DOI, keywords, authors, etc...</label><input type="search" id="AllField2af69538-c326-4a23-97d0-81fa0e2598ef0"
name="AllField" placeholder="Enter words, phrases, DOI, keywords, authors, etc..." data-auto-complete-max-words="7" data-auto-complete-max-chars="32" data-contributors-conf="3" data-topics-conf="3" data-publication-titles-conf="3"
data-history-items-conf="3" value="" class="autocomplete ui-autocomplete-input" autocomplete="off"><span role="status" aria-live="polite" class="ui-helper-hidden-accessible"></span></div><button type="submit" title="Search"
class="btn quick-search__button"><span class="sr-only">Search</span><span>Go</span></button>
</fieldset>
</form>
Name: thisJournalQuickSearch — GET /action/doSearch
<form action="/action/doSearch" name="thisJournalQuickSearch" method="get">
<fieldset>
<legend class="sr-only">Quick Search in Journals</legend>
<div class="input-group option-1 option-journal"><label for="AllField2af69538-c326-4a23-97d0-81fa0e2598ef1" class="sr-only">Enter words, phrases, DOI, keywords, authors, etc...</label><input type="search"
id="AllField2af69538-c326-4a23-97d0-81fa0e2598ef1" name="AllField" placeholder="Enter words, phrases, DOI, keywords, authors, etc..." data-auto-complete-max-words="7" data-auto-complete-max-chars="32" data-contributors-conf="3"
data-topics-conf="3" data-publication-titles-conf="3" data-history-items-conf="3" value="" class="autocomplete ui-autocomplete-input" autocomplete="off"><span role="status" aria-live="polite" class="ui-helper-hidden-accessible"></span><input
type="hidden" name="SeriesKey" value="rsos"></div><button type="submit" title="Search" class="btn quick-search__button"><span class="sr-only">Search</span><span>Go</span></button>
</fieldset>
</form>
Text Content
Login to your account Email Password Forgot password? Keep me logged in New User Institutional Login Change Password Old Password New Password Too Short Weak Medium Strong Very Strong Too Long Congrats! Your password has been changed Create a new account Email Returning user Can't sign in? Forgot your password? Enter your email address below and we will send you the reset instructions Email Cancel If the address matches an existing account you will receive an email with instructions to reset your password. Close Request Username Can't sign in? Forgot your username? Enter your email address below and we will send you your username Email Close If the address matches an existing account you will receive an email with instructions to retrieve your username Anywhere * Anywhere * This Journal Quick Search anywhere Enter words, phrases, DOI, keywords, authors, etc... SearchGo Quick Search in Journals Enter words, phrases, DOI, keywords, authors, etc... SearchGo Advanced Search Skip main navigationJournal menuClose Drawer MenuOpen Drawer Menu Home * All Journals * Biographical Memoirs * Biology Letters * Interface * Interface Focus * Notes and Records * Open Biology * Philosophical Transactions A * Philosophical Transactions B * Proceedings A * Proceedings B * Royal Society Open Science * * * * * * Sign in * 0 Cart * Search Skip main navigationJournal menuClose Drawer MenuOpen Drawer Menu Home * Home * Content * Latest issue * All content * Subject collections * Special collections * Blog posts * Information for * Authors * Reviewers * Readers * Institutions * About us * About the journal * Editorial board * Author benefits * Policies * Journal metrics * Publication times * Open access * Sign up * eTOC alerts * RSS feeds * Newsletters * Submit Open Access More Sections * Figures * Related * References * Details View PDF * View PDF Tools * Add to favorites * Download Citations * Track Citations Share Share on * FacebookFacebook * TwitterTwitter * LinkedInLinked In * RedditReddit * EmailEmail Cite this article * Herrando-Pérez Salvador 2021Bone need not remain an elephant in the room for radiocarbon datingR. Soc. open sci.8201351201351http://doi.org/10.1098/rsos.201351 SECTION * Abstract * 1. Introduction * 2. Methods * 3. Results * 4. Discussion * 5. Concluding thoughts * Ethics * Data accessibility * Competing interests * Funding * Acknowledgements * Footnotes * Comments Supplemental Material Open AccessResearch articles BONE NEED NOT REMAIN AN ELEPHANT IN THE ROOM FOR RADIOCARBON DATING Salvador Herrando-Pérez Salvador Herrando-Pérez http://orcid.org/0000-0001-6052-6854 School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia salvador.herrando-perez@adelaide.edu.au Google Scholar Find this author on PubMed Search for more papers by this author Salvador Herrando-Pérez Salvador Herrando-Pérez http://orcid.org/0000-0001-6052-6854 School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia salvador.herrando-perez@adelaide.edu.au Google Scholar Find this author on PubMed Search for more papers by this author Published:13 January 2021https://doi.org/10.1098/rsos.201351 * Review history * Bone need not remain an elephant in the room for radiocarbon dating ABSTRACT Radiocarbon (14C) analysis of skeletal remains by accelerator mass spectrometry is an essential tool in multiple branches of science. However, bone 14C dating results can be inconsistent and not comparable due to disparate laboratory pretreatment protocols that remove contamination. And, pretreatments are rarely discussed or reported by end-users, making it an ‘elephant in the room’ for Quaternary scientists. Through a questionnaire survey, I quantified consensus on the reliability of collagen pretreatments for 14C dating across 132 experts (25 countries). I discovered that while more than 95% of the audience was wary of contamination and would avoid gelatinization alone (minimum pretreatment used by most 14C facilities), 52% asked laboratories to choose the pretreatment method for them, and 58% could not rank the reliability of at least one pretreatment. Ultrafiltration was highly popular, and purification by XAD resins seemed restricted to American researchers. Isolating and dating the amino acid hydroxyproline was perceived as the most reliable pretreatment, but is expensive, time-consuming and not widely available. Solid evidence supports that only molecular-level dating accommodates all known bone contaminants and guarantees complete removal of humic and fulvic acids and conservation substances, with three key areas of progress: (i) innovation and more funded research is required to develop affordable analytical chemistry that can handle low-mass samples of collagen amino acids, (ii) a certification agency overseeing dating-quality control is needed to enhance methodological reproducibility and dating accuracy among laboratories, and (iii) more cross-disciplinary work with better 14C reporting etiquette will promote the integration of 14C dating across disciplines. Those developments could conclude long-standing debates based on low-accuracy data used to build chronologies for animal domestications, human/megafauna extirpations and migrations, archaeology, palaeoecology, palaeontology and palaeoclimate models. 1. INTRODUCTION Radiocarbon (14C) analyses of bone, teeth, antler and ivory—hereafter ‘bone’—answer important research questions in Quaternary sciences [1–3] but also contribute to a panoply of scientific disciplines including conservation biology [4], climatology [5], ecology [6], genetics [7,8], and human and wildlife forensics [9,10] (figure 1). 14C dating determines the geological age of a given fossil based on the Libby half-life of 14C (5568 years) as it decays into nitrogen 14N [11,12]. The quantification of a sample's 14C content is done by either measuring radioactive decay (β-decay counting) or direct counting of 14C atoms remaining in the sample through accelerator mass spectrometry (AMS) [13]. Higher precision measurements, and ability to date 1/1000th the mass required by β-decay counting, have made AMS 14C dating the dominant technology for 14C chronologies. Thus, AMS 14C instrumentation is currently used by more than 150 14C laboratories worldwide [14]. While modern particle accelerators can technically determine ages to 10 14C half-lives [15], or approximately 55 000–57 000 years, the practical dating limit is eight half-lives (approx. 48 000 years) due to sample type (inorganic versus organic carbon), pretreatment chemistry and efficiency to remove contaminants [16]. The development of calibration curves (IntCal20, SHCal20, Marine20) allows the calibration of 14C dates up to 55 000 calendar years before present (BP, where present is 1950 AD [Anno Domini]) [17]. Figure 1. Publication trends using radiocarbon data and concepts. Annual number of publications (1950–2019) using the term ‘radiocarbon’ in combination with generic expressions of skeletal remains (antler, bone, tooth, teeth, ivory, skelet*) in the title, abstract or key words as recorded in the bibliographic database Scopus (a). Barplot shows those publications classified according to Scopus' ‘Subject Areas’ (b). Search done on 8 November 2020 and retrieved 2512 publications. * Download figure * Open in new tab * Download PowerPoint Fossil bone has been historically regarded as one of the most difficult and unreliable materials for 14C dating due to contamination, degradation and carbon-exchange issues [18–22]. For example, 70% of the oldest 14C dates (mostly from bone) from Europe's Middle and Upper Palaeolithic sites published before 2010 are now considered to be underestimates of their actual age due to contamination with more recent 14C [23]. Suffice it to say that a 55 000-year-old sample contaminated with only 1% modern 14C will result in a 40 000 year 14C measurement [2]. If we were characterizing the environment experienced by the animal or human individual being dated, this 15 000 year error would place the fossil in any of three different transitions from cold (stadial) to warm (interstadial) palaeoclimates over the Last Glacial Period [24]. Bone contamination occurs because both the protein (predominately collagen) and the mineral phase (carbonate hydroxyapatite or bioapatite) are chemically reactive with enclosing or overlying soils and sediments, and rain and groundwaters. During centuries to millennia of burial [25–27], bone protein and its mineral carbonate can incorporate exogenous organic and inorganic carbon, while collagen can degrade to levels too low for 14C dating [16,28,29]. Not surprisingly, bone yields the highest rates of 14C dating failure among datable materials due to poor preservation and contamination [30]. Overall, the application of different physico-chemical treatments to remove those contaminants prior to 14C dating (collectively known as ‘pretreatment’) has been long recognized as a challenging enterprise [30–33]. Ever since the Nobel-Prize winning conception of 14C dating by Willard Libby [34], Libby himself foresaw that bone ‘… is a poor prospect [for 14C dating] for two reasons: the carbon content of bone is extremely low; and it is extremely likely to have suffered alteration’ [35, p. 45], [36]. To address those issues, gelatin isolated by the chemical method adapted for 14C dating by Robert Longin in 1971 [37] (‘gelatinization’ hereafter)—denaturing collagen in slightly acidic, hot water [38]—has become the primary bone pretreatment method, and is the minimum if not final pretreatment used by the vast majority of AMS 14C laboratories (figure 2). However, many authors acknowledge that gelatinization alone fails to remove mild to severe carbon contamination from Pleistocene-age bone [39–45]. Consequently, gelatinization is combined with any of three additional steps: ultrafiltration [46], XAD-2 purification [47] or isolation of individual amino acids (molecular-level dating) [48,49]. These additional steps are also part of the menu of services offered by some AMS facilities (figure 2), although they add time and cost to the sample preparation. Concisely, ultrafiltration assumes that molecules larger than 30 000 Daltons (30 kDa)—approximately one-third the mass of the non-cross-linked chains of the heterotrimer collagen type I α1 (2 per molecule) and α2 (1 per molecule) in bone [50]—are from bone collagen, while smaller molecules (less than 30 kDa) are presumed to include non-collagenous contaminants unsuitable for dating [46]. XAD-2 purification uses a non-polar, hydrophobic resin through which hydrolysed gelatin or hydrolysed collagen solution is passed, and the eluate is collected and dated. Contaminants, predominately humic compounds, remain on the resin and are either discarded or afterwards eluted to determine the fraction modern or ‘apparent’ 14C age of the contaminant [44]. Lastly, molecular-level dating uses mostly the imino acid hydroxyproline [32] or, less frequently, amino acids (e.g. glycine, alanine, aspartic acid; [28,48]) for their AMS 14C dating. The 18 amino acids (including the imino acids proline and hydroxyproline) comprising collagen range from 75 to 181 Da and are isolated from gelatin hydrolysates by using high-performance liquid chromatography (HPLC) [51,52]. The focus on 131 Da hydroxyproline occurs because it is virtually unique to collagen and constitutes 9 molar per cent of total amino acid content [28,32]. In §4.2, I address 14C research over the last decades to refine methods dealing with contamination issues. Figure 2. Canonical pretreatments of collagen gelatin from skeletal remains at radiocarbon dating facilities using accelerator mass spectrometry (AMS). Bone demineralization and collagen denaturation (green text) by the so-called Longin method (after Longin [37]) can be combined with alkali rinses and solvents, and the resulting gelatin is then optionally subject to one of three additional pretreatments. The final product is fast-frozen and combusted into graphite or CO2, which are the ultimate substrates AMS particle accelerators count the (radio)carbon atoms from. Throughout the chemical pretreatment of bone, solvents can remove conservation substances from museum specimens, while alkalis can remove humic contamination non-covalently bound to the collagen fibrils. Pretreatments include: (i) ultrafiltration separates the molecular fraction larger than 30 kDa retained through an ultrafilter membrane and only that fraction is dated; (ii) XAD-2 resins resemble a pile of microscopic beads with a porous surface that binds to contaminants, only the eluted pool of collagen amino/imino acids is dated; and (iii) high-performance liquid chromatography (HPLC) isolates single amino/imino acids into bands by their structure, hydroxyproline being the most frequently dated given its bone abundance and specificity. XAD-2 purification and hydroxyproline isolation require the previous hydrolysis of the collagen gelatin into free amino acids. * Download figure * Open in new tab * Download PowerPoint 14C age discrepancies obtained from gelatin of the same fossil bone with and without these additional pretreatment steps range from hundreds to thousands of years [53–63]. These discrepancies can lead to starkly contrasting conclusions about the demographic and genetic history of species including domestication, invasion and extinction events, and placement within discrete climate events, and, therefore, deserve careful consideration [2,64]. However, researchers in many disciplines currently ignore whether there is consensus in the research community about which pretreatment protocols provide the most accurate 14C ages of fossil bones. Herein, I quantify such a consensus through a questionnaire survey across 132 researchers (25 countries) at the forefront of the generation, use and/or publication of 14C dates and associated extraction of collagen from late-Quaternary human and megafauna bones. Their research demands accurate 14C dating to examine broad demographic, climatic, cultural and ecological issues. I initiated this survey because, from my own experience curating 14C data from multiple literature sources, the issues posed by choice of pretreatment are rarely discussed by end-users, and pretreatment methods are often not even reported, making the topic a real ‘elephant in the room’ for Quaternary sciences. I argue that specialist experience should propel and guide a range of urgent developments to enhance the accuracy and affordability of bone 14C dating and its application to the many research disciplines using geochronological data to unravel the past of human societies and the Earth's biodiversity. 2. METHODS I invited 267 researchers (potential audience) to participate in a questionnaire survey by electronic mail, including personnel of AMS 14C facilities (n = 60), all the editors of the journal Radiocarbon (n = 28), five of the specialists leading the International Laboratory Intercomparisons (described in §4.3), 13 additional researchers at the front line of research into collagen extraction for 14C dating and scientists who were top-ranked in Scopus for their publication record using 14C dates of fossil bone from humans (n = 78, plus 22 combining 14C data and ancient DNA) and megafauna (n = 93) in the primary literature (research articles in peer-reviewed journals). The former categories are non-exclusive so a Radiocarbon editor, for example, could also work at an AMS facility and/or lead publications of megafauna 14C dates. Of the potential audience, 148 researchers agreed to participate (55%), 19 referred to a colleague to do the survey in their place (7%), and 28 (10%) and 71 (27%) declined or did not respond, respectively. A total of 132 submitted their responses (49% representing 25 countries) and constitute my ‘target audience’. All respondents completed the survey online via Google Forms. The survey consisted of four sections (in four successive webpages) totalling 12 questions that could be completed in 5–10 min. I describe the four sections in the following, while a copy of the questionnaire layout is provided in the electronic supplementary material (appendix SA). In §1—‘Expertise’ (three questions), respondents confirmed their (1.1) area of expertise and (1.2) focal study taxa (animals and/or humans), and (1.3) whether they had had any experience working at a 14C laboratory. In §2—‘Pretreatment’ (four questions), researchers (2.1) ranked the reliability of four pretreatments (namely, gelatinization alone, and gelatinization with further steps of ultrafiltration, XAD-2 purification or hydroxyproline isolation; figure 2) from 1 (low reliability) to 5 (high reliability) in order to remove contamination of exogenous carbon from a bone sample before AMS 14C dating (including an ‘I don't know/I am unsure’ option for each pretreatment), (2.2) chose one of the former four pretreatments should they a priori know that a bone sample was severely contaminated with exogenous carbon (including an ‘I don't know/I am unsure’ option) and confirmed whether they customarily (2.3) request a specific pretreatment when submitting bone samples to a 14C laboratory (including an ‘I have never submitted bone, tooth or ivory samples to an AMS 14C dating laboratory’ option) and (2.4) use pretreatment information as a criterion to rank the reliability of 14C dates collated from the literature (including an ‘I have never collected/used 14C dates from the literature’). In §3—‘Samples’ (three questions), respondents stated whether, before (3.1) submitting a bone sample to a dating facility (including an ‘I have never submitted a bone, tooth or ivory sample to a 14C dating facility’ option) or (3.2) extracting the gelatin (including an ‘I have never extracted collagen from a bone, tooth or ivory sample’ option), they suspected the bone could be contaminated with exogenous carbon, then (3.3) ranked from 1 (lowest importance) to 5 (highest importance) a total of 10 criteria to choose pretreatment before submitting bone samples to a 14C laboratory—respondents were asked to give rank = 1 to all 10 criteria if they had never submitted bone samples to a 14C dating facility (mostly personnel from AMS facilities). Lastly, in §4—‘Feedback’ (two questions), researchers were given the option of (4.1) singling out one research paper they would cite to support their choice of the most reliable bone pretreatment and (4.2) giving constructive criticism about the survey and their own bone-dating experience. Overall, my focus is on capturing specialist opinion and experience about bone 14C dating from different perspectives. Thus, §§1, 4, 2.1, 2.2 and 2.4 could be equally answered by all respondents irrespective of their expertise, §§2.3, 3.1 and 3.3 are directed to users of 14C dates who submit samples to 14C laboratories, and §3.2 is directed to researchers with experience in extracting collagen from bone samples whether they do it as part of ongoing investigations leading to publications and/or as personnel of a 14C laboratory dating samples for customers. A draft of the questionnaire was piloted for clarity, completion time and design with the members of the Australian Centre for Ancient DNA (The University of Adelaide, Australia) in November 2019, and the final version was distributed to the target audience in December 2019 to March 2020 according to the periods of availability communicated by individual respondents. Each respondent submitted one questionnaire (predefined option in Google Forms), while each submitted questionnaire was automatically stored online in Google Forms' default spreadsheet. The raw responses from all respondents are provided in the electronic supplementary material (appendix SB). The frequency of choices across respondents per question was plotted in bar plots and pie charts using the package base from the Comprehensive R Archive Network [65]. The survey fulfills the University of Adelaide's ethical standards (Human Research Ethics Committee Approval Number H-2019-240 to S.H.-P.) and informed consent to participate in the survey was obtained from all respondents. To abide by those standards, the survey was strictly anonymous. Thus, no information could be retrieved from the Google Forms' default spreadsheet that could be linked to, or reveal, the affiliation, identity or cultural background of respondents. The names of the authors in the potential audience were only known by me. 3. RESULTS 3.1. AUDIENCE PROFILE Of the 132 researchers who submitted their responses to the survey, 17 (13%), 46 (35%) and 69 (52%) work with human or animal bones or both, respectively (electronic supplementary material, appendix SC, figure S1a). A total of 6 of every 10 respondents work or have had previous experience working at a 14C laboratory (electronic supplementary material, appendix SC, figure S1b), while 8–9 in every 10 respondents have submitted to a 14C laboratory samples of raw bone (electronic supplementary material, appendix SC, figure S2a) or gelatin extracted from bone samples (electronic supplementary material, appendix SC, figure S2b). The predominant areas of expertise across respondents were archaeology (33%), geochronology (17%) and palaeontology (11%), though the latter disciplines permeate most of the respondents’ specializations such as anthropology, (bio)chemistry, genetics, palaeoecology or evolutionary biology (electronic supplementary material, appendix SC, figure S1c). The profile of the target audience guaranteed the survey's exposure to a wide range of Quaternary research and multidisciplinary contexts. 3.2. CONTAMINATION AWARENESS Whether respondents submit samples of raw bone to 14C laboratories (n = 116) or do the gelatin preparation themselves as 14C users or personnel of AMS facilities (n = 105), greater than 95% of them often, sometimes or always suspect bone contamination prior to 14C dating (figure 3). Of 113 respondents who have collated ages of fossil bones from the literature for their own research, 86% regard pretreatment for removing such contamination as a quality criterion to select or discard individual records (electronic supplementary material, appendix SC, figure S3). Therefore, researchers are strongly aware of contamination issues that might impact the results of 14C dating of Quaternary bone. Figure 3. Bone contamination awareness in the questionnaire survey. Shown as the number of respondents (n = 132) who suspect, with four levels of increasing confidence (never, sometimes, often, always), that bone samples are contaminated with exogenous carbon prior to radiocarbon (14C) dating. Left and right stacked bars represent respondents who submit raw samples of bone (n = 116 after excluding 16 respondents who stated not to have submitted raw bone to a 14C laboratory; survey question 3.1) or extract the collagen gelatin (n = 105 after excluding 27 respondents who stated not to have extracted collagen gelatin; survey question 3.2) for 14C dating, respectively. * Download figure * Open in new tab * Download PowerPoint Respondents who have experience submitting samples of raw bone to a 14C laboratory were asked to rank from low (rank = 1) to high (rank = 5) the importance of 10 criteria regarding sample pretreatment (figure 4). Contamination (mean rank = 4.09 ± 0.03 s.e.) and the international prestige of 14C laboratories offering a given pretreatment (4.03 ± 0.04) were the top-ranked criteria. By contrast, the relatively low ranking of the dating price per sample (2.46 ± 0.02) and turnaround time for dating results (2.14 ± 0.02) (figure 4) seem to suggest (somewhat surprisingly) that many researchers are willing to pay more, and to wait longer, for their 14C results, if contamination can be appropriately controlled. Remarkably, 52% of the respondents surveyed would not select pretreatment themselves but ask the 14C laboratory to make the choice for them (electronic supplementary material, appendix SC, figure S4). Figure 4. Bone pretreatment reliability in the questionnaire survey. Ranking of importance (mean ± s.e.) from 1 (lowest) to 5 (highest) assigned to 10 criteria for choosing pretreatment by respondents (n = 118 after excluding 14 of 132 respondents who stated not to have submitted bone samples) submitting bone samples for dating to a radiocarbon (14C) laboratory. Criteria include (top to bottom) a priori knowledge of contamination, pretreatment offered only by prestigious laboratories, research question under investigation, bone amount (mass) per sample, pretreatment chosen by the laboratory, geographical locality of bone find, dating price per sample, study species, return time of dating results and journal publishing the 14C date (survey question 3.3). * Download figure * Open in new tab * Download PowerPoint 3.3. PRETREATMENT RELIABILITY When respondents were asked to pick one single bone pretreatment for its reliability to remove severe carbonaceous contamination prior to AMS 14C dating (assuming no limitations of funding or sample size), hydroxyproline isolation from collagen gelatin was the preferred option (39% of the audience) followed by ultrafiltration (23%) and XAD-2 purification (9%) (figure 5a). Only fewer than 5% of the respondents chose gelatinization alone, and 23% did not know or were unsure of what pretreatment to choose (figure 5a). In accord with the previous results, when researchers were asked to rank each of the four pretreatments from low (rank = 1) to high (rank = 5) reliability, hydroxyproline isolation (4.05 ± 0.12 s.e.) and ultrafiltration (4.24 ± 0.13 s.e.) were ranked higher than XAD-2 purification (3.39 ± 0.16 s.e.) and, particularly, gelatinization alone (2.55 ± 0.17 s.e.) (figure 5b). Relative to the full set of respondents, best choice, relative pretreatment rankings and main conclusions prevailed for 74 respondents with prior or ongoing experience working at an AMS 14C facility, except that hydroxyproline isolation led mean rankings (4.16 ± 0.23 s.e.) above ultrafiltration (3.77 ± 0.50 s.e.), XAD-2 purification (3.52 ± 0.22 s.e.) and gelatinization alone (2.82 ± 0.56 s.e.). Figure 5. Bone pretreatment preference in the questionnaire survey. Respondents were asked to choose and rank a given pretreatment if a bone was known to be severely contaminated with exogenous carbon prior to radiocarbon (14C) dating. Top panel (a) shows the percentage of respondents selecting one of four pretreatments (n = 132, survey question 2.2), middle panel (b) shows the mean reliability [± s.e.] from 1 (lowest) to 5 (highest) ranked by respondents (n = 132, survey question 2.1) and bottom panel (c) shows the percentage of respondents unable to rank the reliability of a given pretreatment (n = 76, survey question 2.1). Pretreatment abbreviations: gel, gelatinization alone; hyp, hydroxyproline isolation; uf, ultrafiltration; xad, XAD-2 purification (see figure 2). * Download figure * Open in new tab * Download PowerPoint A total of 58% of the respondents (n = 76) did not know or were unsure of how to rank the reliability of at least one of the four pretreatments, and such a proportion was two to four times larger for the two most complex pretreatments, XAD-2 purification and hydroxyproline isolation, than for the procedurally simpler ultrafiltration and gelatinization (figure 5c). Lastly, when researchers were requested to voluntarily provide a key publication to back their choice of laboratory pretreatment, 30 of 46 respondents gave any of 19 references (out of a total of 38 suggested) led or co-authored by past or current personnel of the School of Archaeology hosting the University of Oxford's Radiocarbon Accelerator Unit (ORAU) (electronic supplementary material, appendix SC, table S1). 4. DISCUSSION Using an online questionnaire survey, I show that most respondents suspect that their studied fossil skeletal materials could be contaminated with exogenous carbon (figure 3), and acknowledge that the gelatin extracted from the bone requires additional pretreatments to remove this contamination prior to AMS 14C dating (figure 5). Of those, hydroxyproline isolation is the preferred option (39%), followed by ultrafiltration (23%) and XAD-2 purification (9%). Before submitting bone samples for dating, both contamination and the international prestige of AMS 14C facilities are the top-ranked criteria respondents ponder to choose pretreatment (figure 4). One in every two respondents who submit bone samples for dating to a 14C laboratory do not choose the type of pretreatment themselves but ask the laboratory to select pretreatment for them (electronic supplementary material, appendix SC, figure S4), and a similar proportion of the audience was unable to rank the reliability of at least one pretreatment (figure 5). 4.1. INTERPRETING EXPERT CHOICES Researchers perceive that the reliability of dating hydroxyproline is superior to that of the canonical collagen pretreatments built as modified extensions of Longin's [37] procedure of demineralization of bone followed by gelatinization of the collagen (figure 2). Hydroxyproline originates from the post-translational modification of the other imino acid, proline, and contributes to the stabilization of the collagen triple helix in animal tissues [66] where it contributes approximately 13% of the total amino acid carbon [51]. Hydroxyproline occurs in plant cell walls (less than 1% dry weight) [67] and is enriched in soil organic matter during mineralization [68], but any plant material attached to a sample of bone will contain negligible amounts of hydroxyproline and, most importantly, be insoluble during the gelatinization step and, therefore, unable to contribute any hydroxyproline during AMS 14C dating [69]. Ultrafiltration is two to three times cheaper per sample than hydroxyproline isolation by HPLC. Costs can partly explain why ultrafiltration is the preferred choice, after hydroxyproline isolation, in the survey. Even though respondents state that they are willing to pay higher prices for hydroxyproline isolation (figure 4), the fact that I have targeted world-class research sites might not represent the financial affluence of the average individual researcher and research team. For the latter, the budget that can be allocated to AMS 14C dating (relative to other components of a research project) could be strongly constrained and ultrafiltration or gelatinization alone might be the most cost-effective options. Researchers favour pretreatments offered by prestigious 14C laboratories with a long historical record of developments or refinements of dating procedures, e.g. ‘… the wise decision is to contact a reputable 14C dating laboratory before sending any samples to discuss with them the best samples to select’ (respondent #101: electronic supplementary material, appendix SC, table S2). In that respect, many respondents cite papers produced by ORAU to back their choice of pretreatment (electronic supplementary material, appendix SC, table S1), which might reflect ORAU's efficient communication strategy, that 14C chemist Richard Gillespie at this laboratory was the first to publish hydroxyproline 14C dates [28] and that ORAU was the first European 14C laboratory to adopt ultrafiltration as default bone pretreatment [70,71]. This creates a clear advantage of ultrafiltration over XAD-2 purification. By contrast, I posit that geographical affiliation is overriding pretreatment reliability against other criteria determining the use of XAD-2 purification among researchers. Thus, because XAD-2 purification was introduced to the field of 14C dating by American geochronologist Thomas W. Stafford [47], it is not part of the default menu of bone pretreatments offered by non-American 14C laboratories, and has been mostly used to date skeletal materials found in the Americas (both animal and human). So, a scientist in the USA (27% of the target audience) is more likely to know the qualities of, and consequently select, XAD-2 purification of bone for AMS 14C dating than a scientist from other parts of the world. It goes without saying that a scientist's geographical affiliation should be uncorrelated with the reliability of a given bone pretreatment. Having said that, sample-shipping costs, including onerous customs regulations (e.g. sending biological samples from Europe or America to Australia), might play a role in researchers choosing pretreatment protocols from AMS facilities located closest to their working place. 4.2. CONTAMINATION CAVEATS IN CANONICAL PRETREATMENTS Hydroxyproline isolation, ultrafiltration and XAD-2 purification can fail to remove some forms of contamination, and can potentially contaminate bone samples themselves from laboratory equipment and procedures. These pretreatments all begin with gelatin preparation (figure 2), which might be followed by simple (0.45–60 µm) through-syringe filters or ultrafiltration requiring centrifugation. Ultrafiltration has been shown to suffer from carbonaceous contamination contained in the humectant [72,73] and the constitutive fibrils [74] of the ultrafilters, and from collagen-humic cross-link complexes [26]. Thus, a 29 kDa fragment of collagen bound to a 2 kDa humic-acid molecule would have an ‘acceptable’ mass of 31 kDa and ostensibly pass the requirement that only greater than 30 kDa material is dated. Equipment-related contamination has been attenuated at ORAU with the sonication and rinsing with ultrapure water of the ultrafilters [70], though the greater than 30 kDa fraction stills retains less than 30 kDa material along with non-collagenous proteins and non-proteinaceous organic compounds [75], indicating that the chemical composition of the ultrafiltered fraction is not yet properly understood. The ratio of contaminant versus collagen concentrations increased for ORAU's samples where the collagen yield was low, resulting in offsets of 100–300 years for bones younger than two 14C half-lives (approx. 12 000 years) [41] because the apparent age of the humectant (glycerol) was greater than 35 000 years BP. In fact, later work has shown that the humectant's age has changed between batches of samples from fossil (approx. 12 000 to greater than 35 000 years BP) in 2006 to modern (post-1950 AD) by 2011 [76,77]. The age of the humectant in ultrafilters used at the ORAU continues to be post-1950 AD in age and the cleaning regime removes any trace of humectant below a few micrograms (T. F. G. Higham, 28 October 2020, personal communication). Other AMS 14C facilities have not published quantified assessments of this potential source of contamination. Nevertheless, to diminish or eliminate this problem, washing the ultrafilters with weak acid (0.01 N HCl) can increase the yield of collagen, hence decreasing the contaminant-to-protein ratio [78]. It has also been suggested that ultrafiltration of the gelatin will fail to remove high-molecular-weight contaminants, which could be eliminated by means of ceramic nanofiltration (tests applied to nanopores of 368 and 450 Da) of gelatin previously hydrolysed to amino acids [79,80]. Both the XAD-2 (which is inert in HCl) and hydroxyproline methods mandate HCl hydrolysis of decalcified collagen or gelatin in 6 M HCl at 110°C for 22–24 h, a process that yields a solution of individual, free amino acid cations [28,47]. For the XAD-2 procedure, the 5–10 ml of 6 M HCl hydrolysed protein solution are passed through 1–2 ml of XAD-2 resin in a 2–3 cc, plastic solid phase extraction (SPE) column, with the eluate being collected in a glass tube. The resin is next washed with additional, pure 6 M HCl that is added to the initial eluate. Highly purified XAD-2 is cleaned with solvents by the manufacturer and results in a resin with no gas-chromatography detectable residues. XAD-1, -2 and -4 are styrene-divinyl benzene copolymers (SDVB). Other resins in the XAD series (XAD-7 and higher numbers) are acrylic esters that degrade in HCl and are impossible to use for AMS 14C dating. XAD-2 is sold under different commercial names such as ‘proprietary’ or hydrophobic resin, acronyms like SBD, SDVB or PS-2 (polysterene-2), and in bulk or pre-loaded into SPE cartridges for numerous biochemical applications [81], but they all use the same copolymer and principles of purification. At present, no commercial chemical supplier sells XAD-2 SPE columns engineered exclusively for 14C dating. For the hydroxyproline isolation procedure, the gelatin or ultrafiltered-gelatin fractions are hydrolysed as for the XAD-2 process and the total amino acid mixture applied to a semi-preparative HPLC, mixed-mode hydrophobic/cation-exchange column and eluted with a binary gradient of water and dilute phosphoric acid. ORAU has addressed contamination from resin bleed that contributes a finite amount of degraded resin to the eluted amino acids [51], but further work is required in a 14C dating context. A major (and largely ignored) chemical reaction relative to successful bone pretreatment for AMS 14C dating is the Maillard reaction, which was discovered in the early twentieth century [82,83], and consists of a covalent bonding between amino acids and reducing carbohydrates. These sugars are present in soil humic and fulvic acids [84]—major global components of soil organic carbon [85] and probably the greatest source of fossil-bone contamination [26,86], with molecular weights varying from a few hundreds to ten thousands kDa and higher [87–90]. Humic-acid contamination in bone is generally detectable because these compounds discolour the bone and its collagen brown to black, while the low-molecular-weight fulvic acids range from colourless to pale yellow and yellow and can easily go undetected visually. The cleavage of humic and fulvic acids cross-linked to collagen cannot be accomplished by ultrafiltration [26,72,91]. Additionally, the widespread use of alkaline rinses (figure 2) between the demineralization and gelatinization steps [26], customarily undertaken by many 14C laboratories, increases the solubility of humates but is ineffective in removing some humic/fulvic acids [92], and comes at the cost of lowering gelatin yield [93–95]. Humic/fulvic contamination of collagen can be removed by state-of-the-art proteomic approaches [92,96], or by hydrolysing the gelatin prior to dating of total or individual amino acids [52,97]. The human and animal late-Quaternary fossil record is inherently rare and mostly consists of one or, much less frequently, a few bones per individual. Consequently, fossil specimens from museum collections pose unique (despite destructive) opportunities for 14C dating and ancient DNA sequencing [98]. Bone curation in those collections, including embalmed ancient mummies [99,100], entails the application of a range of conservation substances (adhesives, coatings, consolidants) that stabilize skeletal materials and prevent microbiological decomposition [101]. Because those substances contain carbon, it is critical prior to AMS 14C dating that museum materials be treated with routine acid–alkali–acid rinses in combination with organic solvents specific to every conservation substance [102,103] (figure 2). The apparent 14C ages of the most commonly used solvents group into two classes: ones with modern 14C content (post-1950 AD) and those with age ranges of 15 000 to more than 40 000 years [104]. Depending on the age of the fossil, solvents can, therefore, cause bones to be dated older or younger than their actual age. Tests on synthetic, porous material indicate that solvents might achieve complete removal of some but not all types of conservation substances [105] due to a suite of complex interactions between solvents, conservation substances and the study material (e.g. cross-links, oxidation, ageing degradation). Consequently, where contamination is suspected or confirmed from these sources, reliable AMS 14C dating of museum bones could be guaranteed by dating individual amino acids and/or by selecting the regions of the bone least impregnated by conservation substances [103]. This will of course fail if animal hide or bone collagen glues were used as a preservative [106] because it would be impossible to distinguish a fossil's collagen amino acids from those in a collagen glue. In addition, other substances can also be applied in the field to consolidate or preserve bone and these materials might not have been recorded. These situations emphasize the importance of maintaining museum records that detail all treatments a fossil receives, from sampling to storage. It is always good practice to (pre)screen samples for collagen preservation [107]. Methods and metrics include percentage yield of collagen after each pretreatment step, atomic C : N (carbon : nitrogen) ratios, stable C and N isotope values [29], whole-bone %N [108] and, less frequently, relatively expensive but extremely quantitative HPLC [47,48,109] and near-infrared spectroscopic methods [110]. Several respondents (#11, 16, 50, 67, 121 and 127: electronic supplementary material, appendix SC, table S2) remarked the importance of those quality indicators in routine research work using 14C data. And, in the latter context, many stated that bone samples should be a priori assessed for contamination sources and, subsequently, either chemically treated on a case-by-case basis or dated using different pretreatments as appropriate and/or sent to separate 14C laboratories, e.g. ‘… ideally replicate [14C dating of a given sample] using a different method. Otherwise you are sunk in the “it is older, it is better” argument (which, I agree with Kuzmin [111], stinks!)’ (respondent #11: electronic supplementary material, appendix SC, table S2). Dating individual samples several times (see §4.3) will, however, be often beyond a researcher's budget, and unless done using different pretreatment methods, could yield a similar but still inaccurate 14C measurement. Clearly, the preoccupation that a given pretreatment and/or 14C laboratory might fail to address contamination adequately (often conditional on the type of material being dated and funding) seems to be pervasive among 14C users. One can expect that all 14C protocols of collagen purification dealt with in this study should be reliable under minimal to near-zero humate contamination for bones free of conservation substances. This best-case scenario will apply to samples from subarctic to arctic regions or from habitats (e.g. caves) having limited soil growth and associated humate production. On those grounds, ultrafiltration might be a valid 14C bone pretreatment for the enormous amount of past and ongoing palaeochronological research undertaken in Beringia, Canada, Northern Eurasia and Patagonia, but their reliability remains to be compared to mid- and equatorial-latitude sites. If bone destruction is to be minimized and contamination is expected, XAD-2 purification might arguably be the best compromise because it purifies all collagen amino acids, rather than only hydroxyproline or the ultrafiltered (high-molecular-weight) fraction. 4.3. QUALITY CONTROL REQUIRED A major limitation faced by the growing community of scientists using 14C data is that laboratory protocols vary among AMS 14C facilities, even for the same bone pretreatment [112]. Such a procedural variance can make 14C dates of skeletal materials non-comparable from one laboratory to another and from one research paper to another. The lack of comparability could question the validity of the increasing number of studies collating 14C dates from multiple sources (see §4.4) to deal with hotly debated topics such as the causes of extinction of late-Quaternary megafauna [113,114] or the timing of the global dispersal of anatomically modern humans [115]. We might have highly sophisticated analytical and modelling tools to unravel the mechanisms behind those extraordinary demographic phenomena, but they will be useless if we are unable to time exactly when those individuals, populations and species (dis)appeared. This rationale has been put forward by archaeologists whereby the prowess of Bayesian chronological models [116] can be truncated by the low quality of 14C data, sample pretreatment and/or reporting etiquette [117,118]. The main attempt to evaluate dating consistency in the 14C field has been the International Radiocarbon Intercomparison led by the University of Glasgow (UK) and endorsed by the journal Radiocarbon [64]. This scheme aims to identify reference materials that can be dated and compared over time as 14C techniques evolve. In each of the six assessments undertaken to date [119–124], a range of 14C laboratories has been invited to voluntarily participate and date the same set of samples, then the Glasgow team has quantified dating consensus across laboratories. The major limitation of this initiative is that these reference materials either contain no contaminants, or do not contain the levels and types of contamination found in fossil bones. Bone has been included only in the last two assessments (and will be part of the next one [125]), not surprisingly concluding that there is a need for ‘… an investigation of pretreatment effects, especially for the bone samples' [119, p. 8]. English Heritage has accumulated 385 bone samples with replicate 14C measurements, showing age inconsistencies at p = 0.05 (probability of the data given the null hypothesis that several measurements are equal) for (i) 10 out of 60 samples (17%) subjected to gelatinization (mean offset = 43 ± 22 years), (ii) 34 out of 208 samples (16%) subjected to ultrafiltration (mean offset = 10 ± 5 years), and (iii) 26 out of 117 samples (22%) subjected to ultrafiltration versus gelatinization (mean offset = −7 ± 9 years) [126]. None of these offsets have statistical support, although the data are slightly more dispersed than expected on the basis of their quoted errors (A. Bayliss, 24 December 2020, personal communication). Bayliss and Marshall [126, p. 1156] further note that ‘… this dataset consists of measurements on generally well-preserved bone from a temperate climate, which is predominantly less than one half-life in age. This reproducibility may not be obtained on older or poorly preserved material’. At the heart of this conundrum lies the fact that no international agency oversees quality control, training and certification in the field of 14C dating. Currently, should the necessary funding exist, 14C facilities can be discretionally created with freedom to adopt specific pretreatment protocols to compete for customers in a competitive market among more than 150 AMS facilities currently operating globally [14]. We are indeed far from an arguably ideal scenario whereby 14C pretreatment procedures are universal across laboratories. Countering that scenario, one respondent (aligning with many 14C laboratory personnel and palaeo-researchers I have communicated with) stated that ‘… for the effort a 14C measurement is requiring, every sample deserves the best individual pretreatment’ (respondent #40: electronic supplementary material, appendix SC, table S2). The pitfall is that with different 14C laboratories favouring different bone pretreatments [127], what ‘best’ means for every sample can have multiple answers. To my knowledge, no comprehensive guidelines have been published in the primary literature defining what set of consistent properties make a given (bone) sample suitable for a given chemical protocol prior to AMS 14C dating. This is not to say that pretreatment protocols can be expected to reach infallibility, nor that AMS facilities should not lead or partake in innovation along with their business activity. The overarching goals of 14C innovation should be to attain methodological reproducibility and dating consistency across laboratories and high accuracy (i.e. 14C ages capturing the true age of a fossil). However, it is unlikely that pretreatment developments led by one AMS facility are to be promptly adopted by others. It can take time for information to be disseminated at conferences or through research papers and for AMS facilities to test promising procedures rather than adopting them directly. These tests often leave no trace in the literature (P. J. Reimer, 3 November 2020, personal communication). For instance, collagen ultrafiltration for 14C dating was an initiative of the Simon Fraser University (Canada) published in 1988 [46]. Via flow of personnel and researchers among 14C facilities, the method reached the Center for Accelerator Mass Spectrometry at the Lawrence Livermore National Laboratory (which has used ultrafiltration from the early 1990s to date; J.R. Southon, 9 December 2020, personal communication), other North American laboratories and ORAU in Europe (M.P. Richards, 27 November 2020, personal communication). ORAU adopted ultrafiltration in 2000, with some European sites following 6 or 7 years later in some cases when they first acquired an AMS (e.g. Aarhus, Belfast, Poznań, Zurich), and others never including it in their default protocols (e.g. Groningen, Kiel, Vienna). By contrast, the fact that no European AMS facility provides XAD-2 purification seems surprising by sheer criteria of dating reliability. A different model could be explored whereby: (i) those AMS facilities interested in innovation were coordinated within several nodes of research sites (including universities), each node pushing chemical developments for specialized aspects of AMS 14C dating (e.g. types of samples versus types of pretreatment); and (ii) an international certification agency regulated the transition from development to customer service according to available personnel's expertise and the equipment hosted by AMS facilities. In such a model, AMS facilities would have an incentive to participate in innovation, as all would directly contribute to, and benefit from, developments. 4.4. FUTURE RESEARCH Molecular-level dating seems the way to go to advance the accuracy of bone 14C dating. The rationale is obvious in that, rather than using the gelatin from a bone sample, or a purified version of it, the safest way of avoiding carbonaceous contamination is to date the molecular bricks forming the chemical architecture of collagen. Only molecular-level dating appears to accommodate all known bone contaminants and can guarantee complete removal of humic and fulvic acids, conservation substances and any other contaminant of bone collagen. How the amino acids are separated from the contaminants following collagen hydrolysis, and how to maximize the datable mass of amino acids given a fossil's initial mass and degree of collagen preservation, are the steps requiring research innovation. If dating of collagen amino acids is to galvanize a future revolution in the chronological study of skeletal remains from the Quaternary fossil record, chemistry procedures need to be developed that are contamination-free, affordable by the majority of 14C users across scientific disciplines and able to handle low-mass fractions of amino acids and valuable specimens. Anyone familiar with the primary literature reporting 14C data will know that molecular-level dating is in practice far less used than gelatinization alone, ultrafiltration or XAD-2 purification to date fossil bone. Molecular-level dating is time-consuming, costly and procedurally challenging, reflecting its dearth of application [51]. To circumvent those limitations, simpler, faster and more affordable methods are needed to replace HPLC—which has prevailed as the standard procedure to separate amino acids over the last three decades [51,52] despite being expensive in terms of the equipment, experienced staff and reagents required [128]. One possible route is using N-phenacylthiazolium bromide to cleave glucose-derived protein cross-links [129]. Using this reagent has allowed researchers to improve the amplification of ancient DNA from megafauna dung [130,131], but remains to be applied to bone samples for AMS 14C dating. Another possible route involves first derivatizing the amino acids in a gelatin hydrolysate with a reagent that does not react with the imino acids (proline and hydroxyproline)—such as o-phthaldialdehyde as employed for amino acid racemization dating [132]—combined with SPE cartridges [133]. Those SPE cartridges have been successfully employed to extract collagen from bone [134] and should be simpler and cheaper than HPLC methods. Lastly, the specific chemical reaction of ninhydrin with the α-carboxyl group of free amino acids (hence not interacting with humates [26]) produces CO2 that has been used for isotopic fractionation [135] and bone 14C dating [136–138]. This 14C pretreatment also uses collagen hydrolysed to amino acids in 1 M HCl and is simpler and cheaper than HPLC, but has been criticized for requiring abundant glassware and a minimum bone mass of approximately 1 g per sample and remains open for improvement [139]. Any new developments should of course gauge the extent by which novel reagents might add carbonaceous contaminants. On the other hand, the mass of datable amino acids will always be much lower than the mass of datable gelatin per sample unit. The use of different bone amino acids can increase datable mass and, in that direction, the established practice of separating bone proline from hydroxyproline for AMS 14C dating (so dwarfing the sample mass per imino acid) remains to be comprehensively examined. For bones that are severely degraded during burial, and/or consist of one or a few small fragments (the majority of the late-Quaternary fossil record!), and/or belong to small body-sized taxa such as shrews or mice, and/or have cultural value (e.g. ancient humans or unique animal specimens), molecular-level dating might remain unfeasible unless AMS 14C dating incorporates methods of protein enrichment that could increase the yield of collagen amino acids while aiding in the removal of potential contaminants [92,140]. Should authors compile sets of ages of fossil bone from multiple sources and publication years to test hypotheses and make broad inferences about ancient populations and species? Without data-quality control or ways to rank 14C bone chemistry, the enterprise is certainly risky but keeps attracting the attention of high-profile journals. If a widespread standardization of bone pretreatment protocols came true, we might have to be ready to face the eventuality that many 14C dates of fossil bone (as well as the inferences made from them) published in the scientific literature over the last seven decades might be inaccurate or wrong, hence hardly comparable with new 14C dates. XAD-2 purification protocols have remained procedurally constant since its conception in the 1980s, so bone 14C ages generated through this method should arguably share a similar degree of reliability over time. Unfortunately, there does not exist a year or time interval before and after which 14C ages should be deemed (un)reliable (but see [23,126]) partly because individual AMS 14C facilities have incorporated new chemical and physical protocols at their own pace (see §4.3) and might have not recorded how and when these chemical protocols have changed. The published evidence for the reliability of bone ages obtained through different pretreatments is sketchy, definitely not comprehensive and would benefit from a global experiment using skeletal materials of known age from multiple geological deposits, latitudes and time periods. Although I partly concur with the view that ‘… the most important criterion, far more important than pretreatment, and one that is often not considered (as exemplified in this survey) is “context” of the specimen. That is, clear and unambiguous control of association and context of the sample with respect to the cultural activities in question’ (respondent #3: electronic supplementary material, appendix SC, table S2), the reality is that the stratigraphic integrity of most archaeological and palaeontological sites cannot be confirmed with 100% confidence. So the selection of sites for the global experiment suggested above would have to be based on a careful selection of reliably dated fossil-containing deposits (e.g. volcanic tephras) and/or deposits showing high chronological agreement by several dating methods (e.g. electro-spin resonance, optical techniques, [thermo]luminescence, uranium-series—reviewed by Walker [13]). The latter would require to frame fossil dates into a comparable ranking of reliability across multiple dating methods, which has so far only been applied to megafauna fossils from Australia and Papua New Guinea [141–144] and awaits developments with global scope. A complementary approach would be to apply different pretreatments to a comprehensive set of samples whose age (determined by other chronological methods and/or stratigraphic evidence) conclusively exceeds the limit of 14C dating. For such old samples, the presence of 14C would be an unequivocal signature of contamination given an appropriate selection of background samples (see [145]). 5. CONCLUDING THOUGHTS 14C dating has meritoriously established itself as one of the most powerful tools for dating cultural and palaeontological deposits from the late Quaternary [3,56]. The method is conceptually simple and well understood (see Introduction). Along with its prominence in the Quaternary sciences, its importance in modern research has been, and will be even more, heightened by the growing application of palaeoarchives and fossil materials to understand ongoing global ecosystem shifts and anthropogenic impacts on biodiversity and the environment [4,146]. While precision and accuracy of the 14C measurement are controlled by AMS physics, a sample's absolute age accuracy is controlled by its chemical purification, geologic provenance and taxonomic identification. Precision (how well we measure 14C content in AMS facilities) determines the magnitude of the error bars of 14C dates, while accuracy (how well we remove contamination) determines how far 14C dates depart from the true age of skeletal materials. Both parameters are different sides of the same coin. However, progress in the physics of modern AMS 14C dating has driven a revolutionizing transition from β-decay counting to particle accelerators [147] (see Introduction) and from there to the prompt incorporation of the latest accelerators MICADAS [148] already functioning in many 14C laboratories (e.g. [149–151]). The focus of those developments has been put on minimizing the required amount of datable mass [152–154]. By contrast, one of the respondents bluntly expressed that ‘… if AMS labs spent as much money on chemistry and biology as they do on physics, the inherent inaccuracy in most 14C bone ages would have been eliminated years ago’ (respondent #4: electronic supplementary material, appendix SC, table S2). Indeed, the chemistry of modern AMS 14C dating still rests on refined versions of procedures developed during the 1960s–1980s (figure 2) and awaits a revolution of its own. We cannot expect this revolution to be prompted by AMS personnel, geochronologists and Quaternary scientists alone, given the multidisciplinary applications of 14C data (figure 1). Additionally, although contamination of fossil samples with modern carbon might be most problematic for Late-Pleistocene bone, scientists should not be acquiescent with contamination issues in modern and Holocene-age materials as science should always strive for reducing uncertainty. More cross-disciplinary communication and research, particularly with chemists, is a critical endeavour to better understand the factors that drive the accuracy of AMS 14C dating and to unite efforts towards integrating chemical protocols and 14C research with our own fields of specialization. Those efforts should go hand in hand with funding agencies supporting research projects focusing on the improvement of less expensive 14C chemistry. How blasé scientists might be about how bone samples are processed prior to 14C dating can be inferred from the poor reporting standards of 14C laboratory protocols in the literature. This deficiency might even curtail the chances researchers might have to collaborate with world-class geochronologists and integrate their 14C results with those from other dating methods, e.g. ‘… If someone asks me: is this [tooth sample] 5000 years or 10 000 years [old]? I would even date enamel for them if there was no protein preserved, so long as I know they will either publish the limitations of the enamel method appropriately or include me as a co-author. If they just want a “number”, or I suspect that they will publish the date as a number, I will not date enamel for them’ (respondent #46: electronic supplementary material, appendix SC, table S2). Wood [155, p. 68] painstakingly asserts that ‘No other isotope [14C] measurements can be so regularly accompanied by such scant description of methods within refereed journal articles without catching the eye of a reviewer or editor’. This problem is by no means new. Journal editors [156] and 14C authorities [12] chronicled early reporting deficiencies from the personnel of 14C facilities who then routinely published their 14C dates in a range of peer-reviewed journals. The lack of reporting etiquette is nowadays commonplace among scientists who publish 14C dates, and among the editors handling research manuscripts from specialized Quaternary to the top multidisciplinary journals, and has prompted authoritative recommendations [157] that hardly transcend to the array of scientists and disciplines that consume geochronological data. Surely, if an author does not report a piece of information, it must be because it is deemed to be unimportant. One respondent in the survey noted that ‘I am basically a consumer [of 14C data], but I learn that I need to be more involved [in how the data are generated]’ (respondent #126: electronic supplementary material, appendix SC, table S2). And when in my work, I have requested unpublished pretreatment details of published 14C dates a typical type of response has been ‘Your request can only be answered by the radiocarbon lab! I am palaeontologist and morphologist’ (confidential personal communication, 15 August 2019), or ‘I have not the faintest idea what you are asking. I am an archaeologist and I use dating to contextualize archaeological levels and at most generate population models' (confidential personal communication, 7 November 2020). These attitudes align with the greater than 50% of the surveyed experts who ask 14C laboratories to choose bone pretreatment for them. This is not an inappropriate approach per se as the personnel of AMS 14C facilities should be the true chemistry, geochronology and physics experts. The problem is when authors fail to acknowledge the importance of 14C protocols relative to the importance of the research questions they attempt to answer. No modelling approach (no matter how sophisticated it is) and no research hypothesis (no matter how global, trendy or scientifically novel it is) should subjugate the use of high-quality data, even if less but more reliable data should decrease the power of a statistical analysis and the scope of the emerging inferences. I contend that scientists using 14C data should be conceptually more involved in the chemical processes of data generation—without such involvement, bone pretreatment might yet remain for many years an elephant in the room of 14C dating. ETHICS The survey fulfills the University of Adelaide's ethical standards (Human Research Ethics Committee Approval Number H-2019-240 to S.H.-P.) and informed consent to participate in the survey was obtained from all respondents. DATA ACCESSIBILITY Layout of questionnaire survey (electronic supplementary material, appendix SA) and all responses provided by the expert audience (electronic supplementary material, appendix SB) uploaded as electronic supplementary material. COMPETING INTERESTS I declare I have no competing interests. FUNDING The research was funded by an Australian Research Council Discovery Project (DP170104665). The School of Biological Sciences (The University of Adelaide, Australia) covered the open-access publication fees. ACKNOWLEDGEMENTS I am grateful to all respondents who participated in the questionnaire survey. Chris S. M. Turney (University of New South Wales, Australia) endorsed the research ethics application (see ‘Ethics Statement’) and along with members of the Australian Centre for Ancient DNA (The University of Adelaide, Australia) piloted the questionnaire survey leading to improvements of survey content and design. Celia José Herrando kindly made the drawings of antler, bone, ivory and teeth. Corey J. A. Bradshaw (Flinders University, Australia) revised the first Abstract. Matthew J. Collins (University of Cambridge, UK) and Richard Gillespie (Australian National University) gave valuable feedback on drafts of the original manuscript. Paula J. Reimer (Queen's University Belfast, Northern Ireland), H. Gregory McDonald (Bureau of Land Management, USA), Kieren J. Mitchell (University of Adelaide, Australia) and Thomas W. Stafford (Stafford Research Laboratories Incorporated, USA) revised the final draft following peer-review. A. Bayliss (Historic England, UK), Thomas F. G. Higham (Oxford University, UK), Michael P. Richards (Simon Fraser University, Canada) and John R. Southon (University of California-Irvine, USA) clarified a range of 14C developments, and Thomas W. Stafford provided feedback on XAD resins and humate chemistry. FOOTNOTES Second e-mail: salherra@gmail.com Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5249550. © 2021 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. COMMENTS Please enable JavaScript to view the comments powered by Disqus. Previous Article Next Article VIEW FULL TEXT DOWNLOAD PDF * Figures * Related * References * Details * Cited by Dury J, Lidén K, Harris A and Eriksson G (2021) Dental wiggle matching: Radiocarbon modelling of sub-sampled archaeological human dentine, Quaternary International, 10.1016/j.quaint.2021.03.030, 595, (118-127), Online publication date: 1-Sep-2021. * WE RECOMMEND 1. Origin and timing of New Zealand's earliest domestic chickens: Polynesian commensals or European introductions? Jamie R. Wood et al., Royal Society Open Science, 2016 2. Analysis of 14C-bearing compounds released by the corrosion of irradiated steel using accelerator mass spectrometry B. Z. Cvetković et al., Analyst, 2018 3. The fate of bio-carbon in FCC co-processing products Gabriella Fogassy et al., Green Chemistry, 2012 4. Direct radiocarbon analysis of exhaled air Tim Schulze-König et al., Journal of Analytical Atomic Spectrometry, 2010 5. Optimizing the analyte introduction for 14C laser ablation-AMS Caroline Welte et al., Journal of Analytical Atomic Spectrometry, 2017 1. Alleviation of Post-COVID-19 Cognitive Deficits by Treatment with EGb 761: A Case Series Zifko et al. 2. RADIOCARBON DATING OF CHARCOALS FROM HISTORICAL MORTARS FROM TÝŘOV AND PYŠOLEC CASTLES Pachnerová Brabcová et al., Radiation Protection Dosimetry 3. REFINING RADIOCARBON DATING OF IVORY Vojtěch Valášek et al., Radiation Protection Dosimetry 4. Absorption and Translocation of Soil and Foliar Applied 14C-Carbofuran and 14C-Phorate in Soybean and Mungbean Seeds Talekar, N. S. et al., Journal of Economic Entomology 5. Degradation of 14C-Malathion in Stored Corn and Wheat Inoculated with Aspergillus glaucus Anderegg, Barbara N. et al., Journal of Economic Entomology Powered by * Privacy policy * Do not sell my personal information * Google Analytics settings I consent to the use of Google Analytics and related cookies across the TrendMD network (widget, website, blog). Learn more Yes No REFERENCES * 1. Marra JF. 2019Hot carbon: carbon-14 and a revolution in science. New York, NY: Columbia University Press. Crossref, Google Scholar * 2. Bronk Ramsey C. 2008Radiocarbon dating: revolutions in understanding. Archaeometry 50, 249-275. (doi:10.1111/j.1475-4754.2008.00394.x) Crossref, ISI, Google Scholar * 3. Taylor RE, Bar-Yosef O. 2016Radiocarbon dating: an archaeological perspective. New York, NY: Routledge. Google Scholar * 4. Dietl GP, Flessa KW. 2011Conservation paleobiology: putting the dead to work. Trends Ecol. Evol. 26, 30-37. (doi:10.1016/j.tree.2010.09.010) Crossref, PubMed, ISI, Google Scholar * 5. Hedges REM, Stevens RE, Richards MP. 2004Bone as a stable isotope archive for local climatic information. Quat. Sci. Rev. 23, 959-965. (doi:10.1016/j.quascirev.2003.06.022) Crossref, ISI, Google Scholar * 6. Larsen T, Yokoyama Y, Fernandes R. 2018Radiocarbon in ecology: insights and perspectives from aquatic and terrestrial studies. Methods Ecol. Evol. 9, 181-190. (doi:10.1111/2041-210x.12851) Crossref, ISI, Google Scholar * 7. Molak M, Suchard MA, Ho SYW, Beilman DW, Shapiro B. 2015Empirical calibrated radiocarbon sampler: a tool for incorporating radiocarbon-date and calibration error into Bayesian phylogenetic analyses of ancient DNA. Mol. Ecol. Resour. 15, 81-86. (doi:10.1111/1755-0998.12295) Crossref, PubMed, ISI, Google Scholar * 8. Chamberlain A. 2009Archaeological demography. Hum. Biol. 81, 275-286, 212. Crossref, PubMed, ISI, Google Scholar * 9. Ubelaker DH. 2014Radiocarbon analysis of human remains: a review of forensic applications. J. Forensic Sci. 59, 1466-1472. (doi:10.1111/1556-4029.12535) Crossref, PubMed, ISI, Google Scholar * 10. Uno KT, Quade J, Fisher DC, Wittemyer G, Douglas-Hamilton I, Andanje S, Omondi P, Litoroh M, Cerling TE. 2013Bomb-curve radiocarbon measurement of recent biologic tissues and applications to wildlife forensics and stable isotope (paleo)ecology. Proc. Natl Acad. Sci. USA 110, 11 736-11 741. (doi:10.1073/pnas.1302226110) Crossref, ISI, Google Scholar * 11. Godwin H. 1962Half-life of radiocarbon. Nature 195, 984. (doi:10.1038/195984a0) Crossref, ISI, Google Scholar * 12. Stuiver M, Polach HA. 1977Discussion reporting of 14C data. Radiocarbon 19, 355-363. (doi:10.1017/S0033822200003672) Crossref, ISI, Google Scholar * 13. Walker MJC. 2005Quaternary dating methods. Chichester, UK: Wiley. Google Scholar * 14. Anonymous. 2020Radiocarbon laboratories. Radiocarbon. See http://radiocarbon.webhost.uits.arizona.edu/node/11. Google Scholar * 15. Gaffney JS, Marley NA. 2018Chapter 14—Nuclear and radiochemistry. In General chemistry for engineers (eds Gaffney JS, Marley NA), pp. 459-491. Oxford, UK: Elsevier. Crossref, Google Scholar * 16. van der Plicht J, Palstra SWL. 2016Radiocarbon and mammoth bones: what's in a date. Quat. Int. 406, 246-251. (doi:10.1016/j.quaint.2014.11.027) Crossref, ISI, Google Scholar * 17. Reimer PJ. 2020Composition and consequences of the IntCal20 radiocarbon calibration curve. Quatern. Res. 96, 22-27. (doi:10.1017/RDC.2020.41) Crossref, ISI, Google Scholar * 18. Tamers MA, Pearson FJ. 1965Validity of radiocarbon dates on bone. Nature 208, 1053-1055. (doi:10.1038/2081053a0) Crossref, PubMed, ISI, Google Scholar * 19. Olsson IU. 2009Radiocarbon dating history: early days, questions, and problems met. Radiocarbon 51, 1-43. (doi:10.1017/S0033822200033695) Crossref, ISI, Google Scholar * 20. Hedges REM, Van Klinken GJ. 1992A review of current approaches in the pretreatment of bone for radiocarbon dating by AMS. Radiocarbon 34, 279-291. (doi:10.1017/S0033822200063438) Crossref, ISI, Google Scholar * 21. Gillespie R. 1987Why date old bones?Nucl. Instrum. Meth. B 29, 164-165. (doi:10.1016/0168-583X(87)90228-X) Crossref, ISI, Google Scholar * 22. Libby WF. 1952Radiocarbon dating. Chicago, IL: University of Chicago Press. Google Scholar * 23. Higham TFG. 2011European Middle and Upper Palaeolithic radiocarbon dates are often older than they look: problems with previous dates and some remedies. Antiquity 85, 235-249. (doi:10.1017/S0003598X00067570) Crossref, ISI, Google Scholar * 24. Rasmussen SOet al.2014A stratigraphic framework for abrupt climatic changes during the Last Glacial period based on three synchronized Greenland ice-core records: refining and extending the INTIMATE event stratigraphy. Quat. Sci. Rev. 106, 14-28. (doi:10.1016/j.quascirev.2014.09.007) Crossref, ISI, Google Scholar * 25. Briggs DEG, Evershed RP, Lockheart MJ. 2000The biomolecular paleontology of continental fossils. Paleobiology 26, 169-193. (doi:10.1017/S0094837300026920) Crossref, ISI, Google Scholar * 26. van Klinken GJ, Hedges REM. 1995Experiments on collagen-humic interactions: speed of humic uptake, and effects of diverse chemical treatments. J. Archaeol. Sci. 22, 263-270. (doi:10.1006/jasc.1995.0028) Crossref, ISI, Google Scholar * 27. Collins MJet al.2002The survival of organic matter in bone: a review. Archaeometry 44, 383-394. (doi:10.1111/1475-4754.t01-1-00071) Crossref, ISI, Google Scholar * 28. Gillespie R, Hedges REM, Wand JO. 1984Radiocarbon dating of bone by accelerator mass spectrometry. J. Archaeol. Sci. 11, 165-170. (doi:10.1016/0305-4403(84)90051-7) Crossref, ISI, Google Scholar * 29. van Klinken GJ. 1999Bone collagen quality indicators for palaeodietary and radiocarbon measurements. J. Archaeol. Sci. 26, 687-695. (doi:10.1006/jasc.1998.0385) Crossref, ISI, Google Scholar * 30. Becerra-Valdivia L, Leal-Cervantes R, Wood RE, Higham TFG. 2020Challenges in sample processing within radiocarbon dating and their impact in 14C-dates-as-data studies. J. Archaeol. Sci. 113, 105043. (doi:10.1016/j.jas.2019.105043) Crossref, ISI, Google Scholar * 31. Taylor RE. 1992Radiocarbon dating of bone: to collagen and beyond. In Radiocarbon after four decades: an interdisciplinary perspective (eds Taylor RE, Long A, Kra RS), pp. 375-402. New York, NY: Springer Science + Business Media, LLC. Crossref, Google Scholar * 32. McCullagh JSO, Marom A, Hedges REM. 2010Radiocarbon dating of individual amino acids from archaeological bone collagen. Radiocarbon 52, 620-634. (doi:10.1017/S0033822200045653) Crossref, ISI, Google Scholar * 33. Pettitt P. 2019Fast and slow science and the Palaeolithic dating game. Antiquity 93, 1076-1078. (doi:10.15184/aqy.2019.110) Crossref, ISI, Google Scholar * 34. Neustupný E. 1970A new epoch in radiocarbon dating. Antiquity 44, 38-45. (doi:10.1017/S0003598X00040965) Crossref, ISI, Google Scholar * 35. Libby WF. 1955. Radiocarbon dating. Chicago, IL: The University of Chicago Press. Google Scholar * 36. Berger R, Horney AG, Libby WF. 1964Radiocarbon dating of bone and shell from their organic components. Science 144, 995-1001. (doi:10.1126/science.144.3621.995) Crossref, PubMed, ISI, Google Scholar * 37. Longin R. 1971New method of collagen extraction for radiocarbon dating. Nature 230, 241-242. (doi:10.1038/230241a0) Crossref, PubMed, ISI, Google Scholar * 38. Sinex FM, Faris B. 1959Isolation of gelatin from ancient bones. Science 129, 969. (doi:10.1126/science.129.3354.969) Crossref, PubMed, ISI, Google Scholar * 39. Devièse T, Stafford TW, Waters MR, Wathen C, Comeskey D, Becerra-Valdivia L, Higham TFG. 2018Increasing accuracy for the radiocarbon dating of sites occupied by the first Americans. Quat. Sci. Rev. 198, 171-180. (doi:10.1016/j.quascirev.2018.08.023) Crossref, ISI, Google Scholar * 40. Fuller BT, Fahrni SM, Harris JM, Farrell AB, Coltrain JB, Gerhart LM, Ward JK, Taylor RE, Southon JR. 2014Ultrafiltration for asphalt removal from bone collagen for radiocarbon dating and isotopic analysis of Pleistocene fauna at the tar pits of Rancho La Brea, Los Angeles, California. Quat. Geochronol. 22, 85-98. (doi:10.1016/j.quageo.2014.03.002) Crossref, ISI, Google Scholar * 41. Higham TFG, Jacobi RM, Bronk Ramsey C. 2006AMS radiocarbon dating of ancient bone using ultrafiltration. Radiocarbon 48, 179-195. (doi:10.1017/S0033822200066388) Crossref, ISI, Google Scholar * 42. Iwase A, Hashizume J, Izuho M, Takahashi K, Sato H. 2012Timing of megafaunal extinction in the late Late Pleistocene on the Japanese Archipelago. Quat. Int. 255, 114-124. (doi:10.1016/j.quaint.2011.03.029) Crossref, ISI, Google Scholar * 43. Korlević P, Talamo S, Meyer M. 2018A combined method for DNA analysis and radiocarbon dating from a single sample. Sci. Rep. 8, 4127. (doi:10.1038/s41598-018-22472-w) Crossref, PubMed, ISI, Google Scholar * 44. Surovell TA, Boyd JR, Haynes CV, Hodgins GWL. 2016On the dating of the folsom complex and its correlation with the Younger Dryas, the end of Clovis, and megafaunal extinction. PaleoAmerica 2, 81-89. (doi:10.1080/20555563.2016.1174559) Crossref, Google Scholar * 45. Becerra-Valdivia L, Waters MR, Stafford TW, Anzick SL, Comeskey D, Devièse T, Higham TFG. 2018Reassessing the chronology of the archaeological site of Anzick. Proc. Natl Acad. Sci. USA 115, 7000-7003. (doi:10.1073/pnas.1803624115) Crossref, PubMed, ISI, Google Scholar * 46. Brown TA, Nelson DE, Vogel JS, Southon JR. 1988Improved collagen extraction by modified Longin method. Radiocarbon 30, 171-177. (doi:10.1017/S0033822200044118) Crossref, ISI, Google Scholar * 47. Stafford TW, Duhamel RC, Vance Haynes C, Brendel K. 1982Isolation of proline and hydroxyproline from fossil bone. Life Sci. 31, 931-938. (doi:10.1016/0024-3205(82)90551-3) Crossref, PubMed, ISI, Google Scholar * 48. Stafford TW, Hare PE, Currie L, Jull AJT, Donahue DJ. 1991Accelerator radiocarbon dating at the molecular level. J. Archaeol. Sci. 18, 35-72. (doi:10.1016/0305-4403(91)90078-4) Crossref, ISI, Google Scholar * 49. Ho T-Y, Marcus LF, Berger R. 1969Radiocarbon dating of petroleum-impregnated bone from tar pits at Rancho La Brea, California. Science 164, 1051-1052. (doi:10.1126/science.164.3883.1051) Crossref, PubMed, ISI, Google Scholar * 50. Henriksen K, Karsdal MA. 2016Chapter 1—Type I collagen. In Biochemistry of collagens, laminins and elastin (ed. Karsdal MA), pp. 1-11. Oxford, UK: Elsevier. Crossref, Google Scholar * 51. Devièse T, Comeskey D, McCullagh J, Bronk Ramsey C, Higham TFG. 2017New protocol for compound-specific radiocarbon analysis of archaeological bones. Rapid Commun. Mass Spectrom. 32, 373-379. (doi:10.1002/rcm.8047) Crossref, ISI, Google Scholar * 52. van Klinken GJ, Mook WG. 1990Preparative high-performance liquid chromatographic separation of individual amino acids derived from fossil bone collagen. Radiocarbon 32, 155-164. (doi:10.1017/S0033822200040157) Crossref, ISI, Google Scholar * 53. Kuzmin YV, Fiedel SJ, Street M, Reimer PJ, Boudin M, van der Plicht J, Panov VS, Hodgins GWL. 2018A laboratory inter-comparison of AMS 14C dating of bones of the Miesenheim IV elk (Rhineland, Germany) and its implications for the date of the Laacher See eruption. Quat. Geochronol. 48, 7-16. (doi:10.1016/j.quageo.2018.07.008) Crossref, ISI, Google Scholar * 54. Talamo S, Richards M. 2011A comparison of bone pretreatment methods for AMS dating of samples >30,000 BP. Radiocarbon 53, 443-449. (doi:10.1017/S0033822200034573) Crossref, ISI, Google Scholar * 55. Marom A, McCullagh JSO, Higham TFG, Sinitsyn AA, Hedges REM. 2012Single amino acid radiocarbon dating of Upper Paleolithic modern humans. Proc. Natl Acad. Sci. USA 109, 6878-6881. (doi:10.1073/pnas.1116328109) Crossref, PubMed, ISI, Google Scholar * 56. Swift JAet al.2019Micro methods for megafauna: novel approaches to Late Quaternary extinctions and their contributions to faunal conservation in the Anthropocene. Bioscience 69, 877-887. (doi:10.1093/biosci/biz105) Crossref, PubMed, ISI, Google Scholar * 57. Mellars P. 2006A new radiocarbon revolution and the dispersal of modern humans in Eurasia. Nature 439, 931-935. (doi:10.1038/nature04521) Crossref, PubMed, ISI, Google Scholar * 58. Stafford TW. 2014Chronology of the Kennewick Man skeleton. In Kennewick Man: the scientific investigation of an ancient American skeleton (eds Owsley DW, Jantz RL), pp. 59-89. College Station, TX: Smithsonian Institution, Texas A&M University Press. Google Scholar * 59. Fiedel SJ, Southon JR, Taylor RE, Kuzmin YV, Street M, Higham TFG, van der Plicht J, Nadeau M-J, Nalawade-Chavan S. 2013Assessment of interlaboratory pretreatment protocols by radiocarbon dating an elk bone found below Laacher See Tephra at Miesenheim IV (Rhineland, Germany). Radiocarbon 55, 1443-1453. (doi:10.1017/S0033822200048372) Crossref, ISI, Google Scholar * 60. Kennett DJ, Stafford TW, Southon JR. 2008Standards of evidence and Paleoindian demographics. Proc. Natl Acad. Sci. USA 105, E107. (doi:10.1073/pnas.0808960106) Crossref, PubMed, ISI, Google Scholar * 61. Potter BA, Reuther JD, Newbold BA, Yoder DT. 2012High resolution radiocarbon dating at the Gerstle River Site, Central Alaska. Am. Antiq. 77, 71-98. (doi:10.7183/0002-7316.77.1.71) Crossref, ISI, Google Scholar * 62. Wood RE, Barroso-Ruíz C, Caparrós M, Jordá Pardo JF, Galván Santos B, Higham TFG. 2013Radiocarbon dating casts doubt on the late chronology of the Middle to Upper Palaeolithic transition in southern Iberia. Proc. Natl Acad. Sci. USA 110, 2781-2786. (doi:10.1073/pnas.1207656110) Crossref, PubMed, ISI, Google Scholar * 63. Kosintsev Pet al.2019Evolution and extinction of the ‘Siberian unicorn’ Elasmotherium sibiricum, and late Quaternary megafaunal extinction before the Last Glacial Maximum. Nat. Ecol. Evol. 3, 31-38. (doi:10.1038/s41559-018-0722-0) Crossref, PubMed, ISI, Google Scholar * 64. Scott EM, Naysmith P, Cook GT. 2018Why do we need 14C inter-comparisons? The Glasgow -14C inter-comparison series, a reflection over 30 years. Quat. Geochronol. 43, 72-82. (doi:10.1016/j.quageo.2017.08.001) Crossref, ISI, Google Scholar * 65. R Core Team. 2020R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. See www.R-project.org. Google Scholar * 66. Gorres KL, Raines RT. 2010Prolyl 4-hydroxylase. Crit. Rev. Biochem. Mol. Biol. 45, 106-124. (doi:10.3109/10409231003627991) Crossref, PubMed, ISI, Google Scholar * 67. Lamport DTA. 1966The protein component of primary cell walls. Adv. Bot. Res. 2, 151-218. (doi:10.1016/S0065-2296(08)60251-7) Crossref, Google Scholar * 68. Creamer CA, Filley TR, Olk DC, Stott DE, Dooling V, Boutton TW. 2013Changes to soil organic N dynamics with leguminous woody plant encroachment into grasslands. Biogeochemistry 113, 307-321. (doi:10.1007/s10533-012-9757-5) Crossref, ISI, Google Scholar * 69. Higham TFG. 2019Removing contaminants: a restatement of the value of isolating single compounds for AMS dating. Antiquity 93, 1072-1075. (doi:10.15184/aqy.2019.89) Crossref, ISI, Google Scholar * 70. Bronk Ramsey C, Higham TFG, Bowles A, Hedges R. 2004Improvements to the pretreatment of bone at Oxford. Radiocarbon 46, 155-163. (doi:10.1017/S0033822200039473) Crossref, ISI, Google Scholar * 71. Higham TFG, Bronk Ramsey C, Chivall D, Graystone J, Baker D, Henderson E, Ditchfield P. 2018Radiocarbon dates from the Oxford AMS System: Archaeometry datelist 36. Archaeometry 60, 628-640. (doi:10.1111/arcm.12372) Crossref, ISI, Google Scholar * 72. Brock F, Bronk Ramsey C, Higham TFG. 2007Quality assurance of ultrafiltered bone dating. Radiocarbon 49, 187-192. (doi:10.1017/S0033822200042107) Crossref, ISI, Google Scholar * 73. Hüls MC, Grootes PM, Nadeau M-J. 2007How clean is ultrafiltration cleaning of bone collagen?Radiocarbon 49, 193-200. (doi:10.1017/S0033822200042119) Crossref, ISI, Google Scholar * 74. Hüls CM, Grootes PM, Nadeau MJ. 2009Ultrafiltration: boon or bane?Radiocarbon 51, 613-625. (doi:10.1017/S003382220005596X) Crossref, ISI, Google Scholar * 75. Brock F, Geoghegan V, Thomas B, Jurkschat K, Higham TFG. 2013Analysis of bone ‘collagen’ extraction products for radiocarbon dating. Radiocarbon 55, 445-463. (doi:10.1017/S0033822200057581) Crossref, ISI, Google Scholar * 76. Brock F, Higham TFG, Bronk Ramsey CB. 2013Comments on the use of Ezee-filters™ and ultrafilters at ORAU. Radiocarbon 55, 211-212. (doi:10.2458/azu_js_rc.v55i1.16480) Crossref, ISI, Google Scholar * 77. Wood RE, Bronk Ramsey C, Higham TFG. 2010Refining background corrections for radiocarbon dating of bone collagen at ORAU. Radiocarbon 52, 600-611. (doi:10.1017/S003382220004563X) Crossref, ISI, Google Scholar * 78. Shammas N, Walker B, Martinez De La Torre H, Bertrand C, Southon JR. 2019Effect of ultrafilter pretreatment, acid strength and decalcification duration on archaeological bone collagen yield. Nucl. Instrum. Meth. B 456, 283-286. (doi:10.1016/j.nimb.2019.01.018) Crossref, ISI, Google Scholar * 79. Boudin M, Boeckx P, Buekenhoudt A, Vandenabeele P, Van Strydonck M. 2013Development of a nanofiltration method for bone collagen 14C AMS dating. Nucl. Instrum. Meth. B 294, 233-239. (doi:10.1016/j.nimb.2012.08.049) Crossref, ISI, Google Scholar * 80. Boudin M, Bonafini M, van den Brande T, Vanden Berghe I. 2017Cross-flow nanofiltration of contaminated protein-containing material: state of the art. Radiocarbon 59, 1793-1807. (doi:10.1017/RDC.2017.137) Crossref, ISI, Google Scholar * 81. Lohse JC, Madsen DB, Culleton BJ, Kennett DJ. 2014Isotope paleoecology of episodic mid-to-late Holocene bison population expansions in the Southern Plains, U.S.A. Quat. Sci. Rev. 102, 14-26. (doi:10.1016/j.quascirev.2014.07.021) Crossref, ISI, Google Scholar * 82. Maillard L-C. 1912Action des acids aminés sur les sucres; formation des méladoïdines par voie méthodique. Comptes Rendus 154, 66-68. Google Scholar * 83. Hodge JE. 1953Dehydrated foods, chemistry of browning reactions in model systems. J. Agric. Food Chem. 1, 928-943. (doi:10.1021/jf60015a004) Crossref, ISI, Google Scholar * 84. Hayashi T, Nagai T. 1962On the components of soil humic acids (part 9). Soil Sci. Plant Nutr. 8, 22-27. (doi:10.1080/00380768.1962.10431003) Crossref, Google Scholar * 85. Stevenson FJ. 1994Humus chemistry. New York, NY: Wiley. Google Scholar * 86. Kendall C, Eriksen AMH, Kontopoulos I, Collins MJ, Turner-Walker G. 2018Diagenesis of archaeological bone and tooth. Palaeogeogr. Palaeoclimatol. Palaeoecol. 491, 21-37. (doi:10.1016/j.palaeo.2017.11.041) Crossref, ISI, Google Scholar * 87. Perminova IV, Frimmel FH, Kudryavtsev AV, Kulikova NA, Abbt-Braun G, Hesse S, Petrosyan VS. 2003Molecular weight characteristics of humic substances from different environments as determined by size exclusion chromatography and their statistical evaluation. Environ. Sci. Technol. 37, 2477-2485. (doi:10.1021/es0258069) Crossref, PubMed, ISI, Google Scholar * 88. Song J, Huang W, Peng Pa, Xiao B, Ma Y. 2010Humic acid molecular weight estimation by high-performance size-exclusion chromatography with ultraviolet absorbance detection and refractive index detection. Soil Sci. Soc. Am. J. 74, 2013-2020. (doi:10.2136/sssaj2010.0011) Crossref, ISI, Google Scholar * 89. Li L, Zhao Z, Huang W, Peng Pa, Sheng G, Fu J. 2004Characterization of humic acids fractionated by ultrafiltration. Org. Geochem. 35, 1025-1037. (doi:10.1016/j.orggeochem.2004.05.002) Crossref, ISI, Google Scholar * 90. Piccolo A. 2001The supramolecular structure of humic substances. Soil Sci. 166, 819-832. (doi:10.1097/00010694-200111000-00007) Crossref, ISI, Google Scholar * 91. Szpak P, Krippner K, Richards MP. 2017Effects of sodium hydroxide treatment and ultrafiltration on the removal of humic contaminants from archaeological bone. Int. J. Osteoarchaeol. 27, 1070-1077. (doi:10.1002/oa.2630) Crossref, ISI, Google Scholar * 92. Schroeter ER, Blackburn K, Goshe MB, Schweitzer MH. 2019Proteomic method to extract, concentrate, digest and enrich peptides from fossils with coloured (humic) substances for mass spectrometry analyses. R. Soc. Open Sci. 6, 181433. (doi:10.1098/rsos.181433) Link, ISI, Google Scholar * 93. Szpak P, Gröcke DR, Debruyne R, MacPhee RDE, Guthrie RD, Froese D, Zazula GD, Patterson WP, Poinar HN. 2010Regional differences in bone collagen δ13C and δ15N of Pleistocene mammoths: implications for paleoecology of the mammoth steppe. Palaeogeogr. Palaeoclimatol. Palaeoecol. 286, 88-96. (doi:10.1016/j.palaeo.2009.12.009) Crossref, ISI, Google Scholar * 94. van der Haas VM, Garvie-Lok S, Bazaliiskii VI, Weber AW. 2018Evaluating sodium hydroxide usage for stable isotope analysis of prehistoric human tooth dentine. J. Archaeol. Sci. Rep. 20, 80-86. (doi:10.1016/j.jasrep.2018.04.013) ISI, Google Scholar * 95. Minami M, Muto H, Nakamura T. 2004Chemical techniques to extract organic fractions from fossil bones for accurate 14C dating. Nucl. Instrum. Meth. B 223–224, 302-307. (doi:10.1016/j.nimb.2004.04.060) Crossref, ISI, Google Scholar * 96. Cleland TP. 2018Human bone paleoproteomics utilizing the single-pot, solid-phase-enhanced sample preparation method to maximize detected proteins and reduce humics. J. Proteome Res. 17, 3976-3983. (doi:10.1021/acs.jproteome.8b00637) Crossref, PubMed, ISI, Google Scholar * 97. Stafford TW, Brendel K, Duhamel RC. 1988Radiocarbon, 13C and 15N analysis of fossil bone: removal of humates with XAD-2 resin. Geochim. Cosmochim. Acta 52, 2257-2267. (doi:10.1016/0016-7037(88)90128-7) Crossref, ISI, Google Scholar * 98. Pálsdóttir AH, Bläuer A, Rannamäe E, Boessenkool S, Hallsson JH. 2019Not a limitless resource: ethics and guidelines for destructive sampling of archaeofaunal remains. R. Soc. Open Sci. 6, 191059. (doi:10.1098/rsos.191059) Link, ISI, Google Scholar * 99. Quiles Aet al.2014Embalming as a source of contamination for radiocarbon dating of Egyptian mummies: on a new chemical protocol to extract bitumen. ArcheoSciences 38, 135-149. (doi:10.4000/archeosciences.4222) Crossref, Google Scholar * 100. Wasef S, Wood RE, El Merghani S, Ikram S, Curtis C, Holland B, Willerslev E, Millar CD, Lambert DM. 2015Radiocarbon dating of sacred Ibis mummies from ancient Egypt. J. Archaeol. Sci. Rep. 4, 355-361. (doi:10.1016/j.jasrep.2015.09.020) ISI, Google Scholar * 101. Rapp Py-Daniel A. 2014Bones: preservation and conservation. In Encyclopedia of global archaeology (ed. Smith C), pp. 985-989. New York, NY: Springer New York. Crossref, Google Scholar * 102. Bruhn F, Duhr A, Grootes PM, Mintrop A, Nadeau M-J. 2001Chemical removal of conservation substances by ‘Soxhlet’-type extraction. Radiocarbon 43, 229-237. (doi:10.1017/S0033822200038054) Crossref, ISI, Google Scholar * 103. Brock F, Dee M, Hughes A, Snoeck C, Staff R, Bronk Ramsey C. 2018Testing the effectiveness of protocols for removal of common conservation treatments for radiocarbon dating. Radiocarbon 60, 35-50. (doi:10.1017/RDC.2017.68) Crossref, ISI, Google Scholar * 104. Crann CA, Grant T. 2019Radiocarbon age of consolidants and adhesives used in archaeological conservation. J. Archaeol. Sci. Rep. 24, 1059-1063. (doi:10.1016/j.jasrep.2019.03.023) ISI, Google Scholar * 105. Dee MW, Brock F, Bowles AD, Bronk Ramsey C. 2011Using a silica substrate to monitor the effectiveness of radiocarbon pretreatment. Radiocarbon 53, 705-711. (doi:10.1017/S0033822200039151) Crossref, ISI, Google Scholar * 106. Gillespie R, Hedges REM. 1984Laboratory contamination in radiocarbon accelerator mass spectrometry. Nucl. Instrum. Meth. B 5, 294-296. (doi:10.1016/0168-583X(84)90530-5) Crossref, ISI, Google Scholar * 107. Brock F, Higham TFG, Bronk Ramsey C. 2010Pre-screening techniques for identification of samples suitable for radiocarbon dating of poorly preserved bones. J. Archaeol. Sci. 37, 855-865. (doi:10.1016/j.jas.2009.11.015) Crossref, ISI, Google Scholar * 108. Brock F, Wood RE, Higham TFG, Ditchfield P, Bayliss A, Bronk Ramsey C. 2012Reliability of nitrogen content (%N) and carbon:nitrogen atomic ratios (C:N) as indicators of collagen preservation suitable for radiocarbon dating. Radiocarbon 54, 879-886. (doi:10.1017/S0033822200047524) Crossref, ISI, Google Scholar * 109. Gillespie R, Hedges REM, Humm MJ. 1986Routine AMS dating of bone and shell proteins. Radiocarbon 28, 451-456. (doi:10.1017/S003382220000758X) Crossref, ISI, Google Scholar * 110. Sponheimer M, Ryder CM, Fewlass H, Smith EK, Pestle WJ, Talamo S. 2019Saving old bones: a non-destructive method for bone collagen prescreening. Sci. Rep. 9, 13928. (doi:10.1038/s41598-019-50443-2) Crossref, PubMed, ISI, Google Scholar * 111. Kuzmin YV. 2019The older, the better? On the radiocarbon dating of Upper Palaeolithic burials in Northern Eurasia and beyond. Antiquity 93, 1061-1071. (doi:10.15184/aqy.2018.158) Crossref, ISI, Google Scholar * 112. Fülöp RH, Heinze S, John S, Rethemeyer J. 2013Ultrafiltration of bone samples is neither the problem nor the solution. Radiocarbon 55, 491-500. (doi:10.2458/azu_js_rc.55.16296) Crossref, ISI, Google Scholar * 113. Price GJ, Louys J, Faith JT, Lorenzen E, Westaway MC. 2018Big data little help in megafauna mysteries. Nature 558, 23-25. (doi:10.1038/d41586-018-05330-7) Crossref, PubMed, ISI, Google Scholar * 114. Stuart AJ. 2015Late Quaternary megafaunal extinctions on the continents: a short review. Geol. J. 50, 338-363. (doi:10.1002/gj.2633) Crossref, ISI, Google Scholar * 115. Schmid MME, Wood RE, Newton AJ, Vésteinsson O, Dugmore AJ. 2019Enhancing radiocarbon chronologies of colonization: chronometric hygiene revisited. Radiocarbon 61, 629-647. (doi:10.1017/RDC.2018.129) Crossref, ISI, Google Scholar * 116. Bayliss A. 2009Rolling out revolution: using radiocarbon dating in archaeology. Radiocarbon 51, 123-147. (doi:10.1017/S0033822200033750) Crossref, ISI, Google Scholar * 117. Pettitt P, Zilhão J. 2015Problematizing Bayesian approaches to prehistoric chronologies. World Archaeol. 47, 525-542. (doi:10.1080/00438243.2015.1070082) Crossref, ISI, Google Scholar * 118. Bayliss A. 2015Quality in Bayesian chronological models in archaeology. World Archaeol. 47, 677-700. (doi:10.1080/00438243.2015.1067640) Crossref, ISI, Google Scholar * 119. Scott EM, Naysmith P, Cook GT. 2017Should archaeologists care about 14C intercomparisons? Why? A summary report on SIRI. Radiocarbon 59, 1589-1596. (doi:10.1017/RDC.2017.12) Crossref, ISI, Google Scholar * 120. Scott EM, Cook GT, Naysmith P. 2010The Fifth International Radiocarbon Intercomparison (VIRI): an assessment of laboratory performance in Stage 3. Radiocarbon 52, 859-865. (doi:10.1017/S003382220004594X) Crossref, ISI, Google Scholar * 121. Scott EM. 2003The Third International Radiocarbon Intercomparison (TIRI) and the Fourth International Radiocarbon Intercomparison (FIRI) 1990–2002: results, analyses, and conclusions. Radiocarbon 45, 135-150. (doi:10.1017/S0033822200032574) ISI, Google Scholar * 122. International Study Group. 1982An inter-laboratory comparison of radiocarbon measurements in tree rings. Nature 298, 619-623. (doi:10.1038/298619a0) Crossref, ISI, Google Scholar * 123. Gulliksen S, Scott M. 1995Report of the TIRI Workshop, Saturday 13 August 1994. Radiocarbon 37, 820-821. (doi:10.1017/S0033822200031404) Crossref, ISI, Google Scholar * 124. Scott EM, Aitchison TC, Harkness DD, Cook GT, Baxter MS. 1990An overview of all three stages of the International Radiocarbon Intercomparison. Radiocarbon 32, 309-319. (doi:10.1017/S0033822200012935) Crossref, ISI, Google Scholar * 125. Scott EM, Naysmith P, Cook G. 2019Life after SIRI—where next?Radiocarbon 61, 1159-1168. (doi:10.1017/RDC.2019.10) Crossref, ISI, Google Scholar * 126. Bayliss A, Marshall P. 2019Confessions of a serial polygamist: the reality of radiocarbon reproducibility in archaeological samples. Radiocarbon 61, 1143-1158. (doi:10.1017/RDC.2019.55) Crossref, ISI, Google Scholar * 127. Gillespie R, Wood RE, Fallon S, Stafford TW, Southon JR. 2015New 14C dates for Spring Creek and Mowbray Swamp megafauna: XAD-2 processing. Archaeol. Oceania 50, 43-48. (doi:10.1002/arco.5045) Crossref, ISI, Google Scholar * 128. Phipps WS, Crossley E, Boriack R, Jones PM, Patel K. 2020Quantitative amino acid analysis by liquid chromatography-tandem mass spectrometry using low cost derivatization and an automated liquid handler. JIMD Rep. 51, 62-69. (doi:10.1002/jmd2.12080) Crossref, PubMed, Google Scholar * 129. Vasan Set al.1996An agent cleaving glucose-derived protein crosslinks in vitro and in vivo. Nature 382, 275-278. (doi:10.1038/382275a0) Crossref, PubMed, ISI, Google Scholar * 130. Poinar HN, Hofreiter M, Spaulding WG, Martin PS, Stankiewicz BA, Bland H, Evershed RP, Possnert G, Pääbo S. 1998Molecular coproscopy: dung and diet of the extinct ground sloth Nothrotheriops shastensis. Science 281, 402-406. (doi:10.1126/science.281.5375.402) Crossref, PubMed, ISI, Google Scholar * 131. Hofreiter M, Betancourt JL, Sbriller AP, Markgraf V, McDonald HG. 2003Phylogeny, diet, and habitat of an extinct ground sloth from Cuchillo Curá, Neuquén Province, southwest Argentina. Quatern. Res. 59, 364-378. (doi:10.1016/S0033-5894(03)00030-9) Crossref, ISI, Google Scholar * 132. Kaufman DS, Manley WF. 1998A new procedure for determining dl amino acid ratios in fossils using reverse phase liquid chromatography. Quat. Sci. Rev. 17, 987-1000. (doi:10.1016/S0277-3791(97)00086-3) Crossref, ISI, Google Scholar * 133. Poole CF. 2000Extraction | solid-phase extraction. In Encyclopedia of separation science (ed. Wilson ID), pp. 1405-1416. Oxford, UK: Academic Press. Crossref, Google Scholar * 134. Buckley M, Collins M, Thomas-Oates J. 2008A method of isolating the collagen (I) α2 chain carboxytelopeptide for species identification in bone fragments. Anal. Biochem. 374, 325-334. (doi:10.1016/j.ab.2007.12.002) Crossref, PubMed, ISI, Google Scholar * 135. Abelson PH, Hoering TC. 1961Carbon isotope fractionation in formation of amino acids by photosynthetic organisms. Proc. Natl Acad. Sci. USA 47, 623-632. (doi:10.1073/pnas.47.5.623) Crossref, PubMed, ISI, Google Scholar * 136. Tisnérat-Laborde N, Valladas H, Kaltnecker E, Arnold M. 2003AMS radiocarbon dating of bones at LSCE. Radiocarbon 45, 409-419. (doi:10.1017/S003382220003277X10.1017/S003382220003277X) Crossref, ISI, Google Scholar * 137. Nelson DE. 1991A new method for carbon isotopic analysis of protein. Science 251, 552-554. (doi:10.1126/science.1990430) Crossref, PubMed, ISI, Google Scholar * 138. Wood REet al.2013A new date for the Neanderthals from the El Sidrón Cave (Asturia, Northern Spain). Archaeometry 55, 148-158. (doi:10.1111/j.1475-4754.2012.00671.x) Crossref, ISI, Google Scholar * 139. Dumoulin JP, Messager C, Valladas H, Beck L, Caffy I, Delqué-Količ E, Moreau C, Lebon M. 2017Comparison of two bone-preparation methods for radiocarbon dating: modified Longin and ninhydrin. Radiocarbon 59, 1835-1844. (doi:10.1017/RDC.2017.132) Crossref, ISI, Google Scholar * 140. Cleland TP, Voegele K, Schweitzer MH. 2012Empirical evaluation of bone extraction protocols. PLoS ONE 7, e31443. (doi:10.1371/journal.pone.0031443) Crossref, PubMed, ISI, Google Scholar * 141. Rodríguez-Rey Met al.2016A comprehensive database of quality-rated fossil ages for Sahul's Quaternary vertebrates. Sci. Data. 3, 160053. (doi:10.1038/sdata.2016.53) Crossref, PubMed, ISI, Google Scholar * 142. Rodríguez-Rey Met al.2015Criteria for assessing the quality of Middle Pleistocene to Holocene vertebrate fossil ages. Quat. Geochronol. 30, 69-79. (doi:10.1016/j.quageo.2015.08.002) Crossref, ISI, Google Scholar * 143. Saltré Fet al.2016Climate change not to blame for late Quaternary megafauna extinctions in Australia. Nat. Commun. 7, 10511. (doi:10.1038/ncomms10511) Crossref, PubMed, ISI, Google Scholar * 144. Johnson CNet al.2016What caused extinction of the Pleistocene megafauna of Sahul?Proc. R. Soc. B 283, 20152399. (doi:10.1098/rspb.2015.2399) Link, ISI, Google Scholar * 145. Taylor RE, Southon JR, Santos GM. 2018Misunderstandings concerning the significance of AMS background 14C measurements. Radiocarbon 60, 727-749. (doi:10.1017/RDC.2018.15) Crossref, ISI, Google Scholar * 146. Fordham DAet al.2020Using paleo-archives to safeguard biodiversity under climate change. Science 369, eabc5654. (doi:10.1126/science.abc5654) Crossref, PubMed, ISI, Google Scholar * 147. Gowlett JAJ. 1987The archaeology of radiocarbon accelerator dating. J. World Prehist. 1, 127-170. (doi:10.1007/BF00975492) Crossref, ISI, Google Scholar * 148. Steinhof A. 2016Accelerator mass spectrometry of radiocarbon. In Radiocarbon and climate change: mechanisms, applications and laboratory techniques (eds Schuur EAG, Druffel ERM, Trumbore SE), pp. 253-278. Cham, Switzerland: Springer. Google Scholar * 149. Hoffmann H, Friedrich R, Kromer B, Fahrni S. 2017Status report: implementation of gas measurements at the MAMS 14C AMS facility in Mannheim, Germany. Nucl. Instrum. Meth. B 410, 184-187. (doi:10.1016/j.nimb.2017.08.018) Crossref, ISI, Google Scholar * 150. Dee MWet al.2020Radiocarbon dating at Groningen: new and updated chemical pretreatment procedures. Radiocarbon 62, 63-74. (doi:10.1017/RDC.2019.101) Crossref, ISI, Google Scholar * 151. Guerra R, Santos Arévalo F-J, Agulló García L, García-Tenorio R. 2019Radiocarbon measurements of foraminifera with the mini carbon dating system (MICADAS) at the Centro Nacional de Aceleradores. Nucl. Instrum. Meth. B 448, 39-42. (doi:10.1016/j.nimb.2019.04.004) Crossref, ISI, Google Scholar * 152. Fewlass H, Talamo S, Tuna T, Fagault Y, Kromer B, Hoffmann H, Pangrazzi C, Hublin JJ, Bard E. 2018Size matters: radiocarbon dates of <200 μg ancient collagen samples with AixMICADAS and its gas ion source. Radiocarbon 60, 425-439. (doi:10.1017/RDC.2017.98) Crossref, ISI, Google Scholar * 153. Fewlass H, Tuna T, Fagault Y, Hublin JJ, Kromer B, Bard E, Talamo S. 2019Pretreatment and gaseous radiocarbon dating of 40–100 mg archaeological bone. Sci. Rep. 9, 5342. (doi:10.1038/s41598-019-41557-8) Crossref, PubMed, ISI, Google Scholar * 154. Cersoy S, Zazzo A, Rofes J, Tresset A, Zirah S, Gauthier C, Kaltnecker E, Thil F, Tisnerat-Laborde N. 2017Radiocarbon dating minute amounts of bone (3–60 mg) with ECHoMICADAS. Sci. Rep. 7, 7141. (doi:10.1038/s41598-017-07645-3) Crossref, PubMed, ISI, Google Scholar * 155. Wood RE. 2015From revolution to convention: the past, present and future of radiocarbon dating. J. Archaeol. Sci. 56, 61-72. (doi:10.1016/j.jas.2015.02.019) Crossref, ISI, Google Scholar * 156. Deevey ES, Flint RF. 1959Preface. Radiocarbon 1, (doi:10.1017/S0033822200020312) Crossref, Google Scholar * 157. Millard AR. 2014Conventions for reporting radiocarbon determinations. Radiocarbon 56, 555-559. (doi:10.2458/56.17455) Crossref, ISI, Google Scholar THIS ISSUE January 2021 Volume 8Issue 1 * Article Information * PubMed:33614076 * Published by:Royal Society * Online ISSN:2054-5703 History: * Manuscript received30/07/2020 * Manuscript accepted08/12/2020 * Published online13/01/2021 License: © 2021 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. Article Metrics View all metrics * Download * Citation No data available. 0100200300JulAugSepOctNovDec 5,601 1 * Total * First 30 Days * 6 Months * 12 Months Total number of article downloads and citations for the latest 6 whole calendar months Citations and impact 5 CITATIONS 5 Total citations 5 Recent citations n/a Field Citation Ratio n/a Relative Citation Ratio 5 0 2 0 Smart Citations 5 0 2 0 Citing PublicationsSupportingMentioningContrasting View Citations See how this article has been cited at scite.ai scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made. Keywords * collagen * Quaternary * hydroxyproline * ultrafiltration * chronology * XAD -------------------------------------------------------------------------------- Subjects * biochemistry * ecology * palaeontology -------------------------------------------------------------------------------- Close Figure Viewer Browse All FiguresReturn to FigureChange zoom levelZoom inZoom out Previous FigureNext Figure Caption back * ROYAL SOCIETY OPEN SCIENCE * About this journal * Author benefits * Submit * Contact information * Journal metrics * Search help * About this journal * Author benefits * Submit * Contact information * Journal metrics * Search help * ROYAL SOCIETY PUBLISHING * Our journals * Historical context * Open access * Open science * Publishing policies * Permissions * Conferences * Videos * Blog * Manage your account * Terms & conditions * Privacy policy * Cookies * Our journals * Historical context * Open access * Open science * Publishing policies * Permissions * Conferences * Videos * Blog * Manage your account * Terms & conditions * Privacy policy * Cookies * THE ROYAL SOCIETY * About us * Contact us * Fellows * Events * Grants, schemes & awards * Topics & policy * Collections * Venue hire * About us * Contact us * Fellows * Events * Grants, schemes & awards * Topics & policy * Collections * Venue hire Back to top * * * * Copyright © 2022 The Royal Society Close crossmark popup PRIVACY PREFERENCE CENTER When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to find out more and change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. More information Allow All MANAGE CONSENT PREFERENCES STRICTLY NECESSARY COOKIES Always Active These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information. PERFORMANCE COOKIES Performance Cookies These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. FUNCTIONAL COOKIES Functional Cookies These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. TARGETING COOKIES Targeting Cookies These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising. BACK BUTTON BACK Vendor Search Search Icon Filter Icon Clear checkbox label label Apply Cancel Consent Leg.Interest checkbox label label checkbox label label checkbox label label Confirm My Choices Your choice regarding cookies on this site. We use cookies to optimise site functionality and give you the best possible experience. Privacy policy Cookies Settings Reject All Cookies Accept All Cookies Picked up by 1 news outlets Blogged by 2 Tweeted by 29 On 1 Facebook pages 23 readers on Mendeley See more details