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Spotlight
 * Enhancing Research and Teaching with Direct Mercury Analysis
 * Achieving Top-Surface, Nanoscale Chemical Spectroscopy
 * Spectroscopy in Biopharmaceutical Analysis Virtual Symposium
 * Challenges of Spectrofluorometry Part 3: Sample-Specific Concerns
 * Rapid Identification of Wood Species Based on Portable Near-Infrared
   Spectrometry and Chemometrics Methods

TopicsSee All >
 * Raman
 * IR
 * ICP
 * X-ray Analysis
 * LIBS
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 * About
 * Advertise
 * Author Guidelines
 * Contact Us
 * Editorial Contacts
 * Editorial Advisory Board
 * Ethics Statement
 * Do Not Sell My Personal Info
 * Permissions
 * Privacy Policy
 * Terms and Conditions
 * 

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© 2022 MJH Life Sciences™ and Spectroscopy Online. All rights reserved.


FEATURED CONTENT

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SIMULTANEOUS DETECTION OF NITRATE AND NITRITE BASED ON UV ABSORPTION
SPECTROSCOPY & MACHINE LEARNING

An Inside Look


IMPACT OF MEASUREMENT PROTOCOL ON ICP-MS DATA QUALITY OBJECTIVES

Part II


INVERSION OF LOW-GRADE COPPER MINING AREAS

A Look at Spectral Information and Remote Sensing Data Using Vis-NIR


RAMAN SPECTROSCOPY AND CHEMICAL BONDING OF BAFCL, BAFBR, AND BAFL

A Molecular Spectroscopy Workbench Column

DEEP LEARNING CLASSIFICATION OF GRASSLAND DESERTIFICATION IN CHINA VIA
LOW-ALTITUDE UAV HYPERSPECTRAL REMOTE SENSING

December 20, 2021

ByYanbin Zhang, Jianmin Du, Weiqiang Pi, Xinchao Gao, Yuan Wang


In this study, we propose a low-altitude unmanned aerial vehicle (UAV)
hyperspectral visible near-infrared (vis-NIR) remote sensing hardware platform,
which combines efficiency and accuracy for high-precision remote sensing-based
ecological surveys and statistical data collection on grassland desertification.



LEADING BY EXAMPLE: A RETROSPECTIVE ON THE CAREER OF ULRICH J. KRULL

December 17, 2021

ByPaul A.E. Piunno, W. Russ Algar


A celebration of the 36-year career of Ulrich J. Krull, on the occasion of his
retirement earlier this year.




CALL FOR NOMINATIONS: 2022 SAS ATOMIC SPECTROSCOPY STUDENT AWARD

December 13, 2021




The Atomic Spectroscopy Section of the Society for Applied Spectroscopy (SAS) is
seeking nominations for the 2022 SAS Atomic Spectroscopy Student Awards.



INVESTIGATING FORENSICS APPLICATIONS OF RAMAN SPECTROSCOPY, ATR FT-IR, AND
CHEMOMETRICS

December 10, 2021




As forensic analysis continues to advance, such as in the understanding of
source identification and analysis of trace quantities of bodily fluids,
spectroscopic techniques and machine learning are playing a significant role.
Igor K. Lednev, a chemistry professor at the University at Albany, SUNY, in
Albany, New York, has been working in this field with his team. The analytical
methods currently under investigation include Raman spectroscopy, attenuated
total reflection Fourier transform infrared (ATR FT-IR) spectroscopy, and
advanced chemometric classification and analysis methods. We recently
interviewed him about his work.




SPECTROSCOPY ANNOUNCES THE WINNER OF THE 2022 EMERGING LEADER IN ATOMIC
SPECTROSCOPY AWARD

December 09, 2021




Denise Mitrano, an assistant professor in the Department of Environmental
Systems Science at ETH Zurich, in Switzerland, has won the 2022 Emerging Leader
in Atomic Spectroscopy Award, which is presented by Spectroscopy magazine.



DETERMINATION OF ELEMENTAL IMPURITIES IN A NASAL SPRAY USING ICP-MS

December 07, 2021




A tutorial and spreadsheet for the validation and bottom-up uncertainty
evaluation of quantifications performed by instrumental methods of analysis
based on linear weighted calibrations were presented by Ricardo J.N. Bettencourt
da Silva of the University of Lisbon in Lisbon, Portugal, and colleagues. This
software tool was successfully applied to the determination of the mass
concentration of Cd, Pb, As, Hg, Co, V, and Ni in a nasal spray by ICP-MS after
samples dilution and acidification. Bettencourt da Silva spoke to Spectroscopy
about applying this software tool and the implications for a better
understanding of quantitative analytical results.




ADVANCES IN UV-VIS-NIR SPECTROSCOPY: A PEER-REVIEWED SPECIAL ISSUE

December 02, 2021




This issue is a compilation of five peer-reviewed articles on the combined
application of UV-vis-NIR spectral data with advanced chemometrics.



RAPID IDENTIFICATION OF WOOD SPECIES BASED ON PORTABLE NEAR-INFRARED
SPECTROMETRY AND CHEMOMETRICS METHODS

December 02, 2021




Classification and identification of different wood species are demonstrated
using a portable near-infrared spectrometer, combined with four spectral
pretreatment methods and three pattern recognition methods. Additional
chemometric tools were used for comprehensive evaluation of classification model
accuracy and complexity.




RAPID QUALITY DISCRIMINATION OF GRAPE SEED OIL USING AN EXTREME MACHINE LEARNING
APPROACH WITH NEAR-INFRARED (NIR) SPECTROSCOPY

December 02, 2021




Given that grape seed oil has shown beneficial effects for consumers, there is a
interest in measuring oil quality and potential adulteration. This study
demonstrates an effective near-infrared (NIR) spectroscopy method, using a
series of machine learning approaches for wavelength variable selection, to
rapidly discriminate grape seed oil adulteration.



MODEL FOR RETRIEVING LEAF CHLOROPHYLL USING THE WAVELET ANALYSIS ALGORITHM WITH
THE PROSPECT RADIATIVE TRANSFER MODEL AND VIS-NIR SPECTRA

December 02, 2021




Spectral reflectance is a non-destructive method that is applicable to remote
sensing and may be used to measure the chlorophyll content in a crop, which
indicates the photosynthetic capacity, growth cycles, and degrees of stress
(such as disease, insect infestation, and heavy metal stress) on plant
ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll
using a wavelet analysis algorithm approach.


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