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Submitted URL: http://seal-analytical.com/
Effective URL: https://www.seal-analytical.com/
Submission: On November 12 via manual from US — Scanned from CA
Effective URL: https://www.seal-analytical.com/
Submission: On November 12 via manual from US — Scanned from CA
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1 forms found in the DOMPOST /
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">
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data-bgpositionend="left" data-bgposition="left" data-kenburns="off" data-easeme="easeOutExpo" data-bgfit="cover" data-bgfitend="100" data-owidth="undefined" data-oheight="undefined">
<div class="tp-bgimg defaultimg" data-lazyload="undefined" data-bgfit="cover" data-bgposition="left" data-bgrepeat="no-repeat" data-lazydone="undefined"
src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-4.png" data-src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-4.png"
style="background-color: rgba(0, 0, 0, 0); background-repeat: no-repeat; background-image: url("/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-4.png"); background-size: cover; background-position: left center; width: 100%; height: 100%; opacity: 1; visibility: inherit;">
</div>
</div> <!-- LAYERS --> <!-- LayerOptions Dictionary --> <!-- LAYER NR.77 -->
<a href="http://www.seal-analytical.com/Products/DEENAIIMetalsDigestion/tabid/851/language/en-US/Default.aspx" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style="padding: 12px; font-size: 16px; color: rgb(0, 0, 0); background-color: rgb(170, 157, 216); overflow-wrap: normal; white-space: normal; transition: color 0.3s; min-height: 0px; min-width: 0px; line-height: 29px; border-width: 0px; margin: 0px; letter-spacing: 0px; left: 0px; top: 634px; visibility: visible; opacity: 1; transform: matrix3d(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, -0.0025, 0, 0, 0, 1);" data-x="left" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Mining</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.151 -->
<a href="http://www.seal-analytical.com/Markets" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style="padding: 12px; font-size: 16px; color: rgb(0, 0, 0); background-color: rgb(170, 157, 216); overflow-wrap: normal; white-space: normal; transition: color 0.3s; min-height: 0px; min-width: 0px; line-height: 29px; border-width: 0px; margin: 0px; letter-spacing: 0px; left: 1433.39px; top: 634px; visibility: visible; opacity: 1; transform: matrix3d(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, -0.0025, 0, 0, 0, 1);" data-x="right" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Applications</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.160 -->
<a href="https://www.seal-analytical.com/Buy-Parts" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style="padding: 12px; font-size: 16px; color: rgb(0, 0, 0); background-color: rgb(170, 157, 216); overflow-wrap: normal; white-space: normal; transition: color 0.3s; min-height: 0px; min-width: 0px; line-height: 29px; border-width: 0px; margin: 0px; letter-spacing: 0px; left: 1466.98px; top: 305px; visibility: visible; opacity: 1; transform: matrix3d(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, -0.0025, 0, 0, 0, 1);" alt="Buy Parts" data-x="right" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Buy Parts</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.161 -->
<a href="https://www.seal-analytical.com/Products" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style="padding: 12px; font-size: 16px; color: rgb(0, 0, 0); background-color: rgb(170, 157, 216); overflow-wrap: normal; white-space: normal; transition: color 0.3s; min-height: 0px; min-width: 0px; line-height: 29px; border-width: 0px; margin: 0px; letter-spacing: 0px; left: 0px; top: 305px; visibility: visible; opacity: 1; transform: matrix3d(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, -0.0025, 0, 0, 0, 1);" alt="View Products" data-x="left" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>View Products</h3></a>
</li> <!-- SliderOptions Dictionary --> <!-- SLIDE.11-->
<li class="tp-slides-item tp-revslider-slidesli" data-randomtransition="on" data-slotamount="0" data-masterspeed="300" data-saveperformance="off" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"
style="width: 100%; height: 100%; overflow: hidden;"> <!-- Background picture -->
<div class="slotholder" style="width:100%;height:100%;" data-duration="3000" data-zoomstart="undefined" data-zoomend="undefined" data-rotationstart="undefined" data-rotationend="undefined" data-ease="easeOutExpo"
data-bgpositionend="left" data-bgposition="left" data-kenburns="off" data-easeme="easeOutExpo" data-bgfit="cover" data-bgfitend="100" data-owidth="undefined" data-oheight="undefined">
<div class="tp-bgimg defaultimg" data-lazyload="undefined" data-bgfit="cover" data-bgposition="left" data-bgrepeat="no-repeat" data-lazydone="undefined"
src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-9.png" data-src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-9.png"
style="background-color:rgba(0, 0, 0, 0);background-repeat:no-repeat;background-image:url(/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-9.png);background-size:cover;background-position:left;width:100%;height:100%;">
</div>
</div> <!-- LAYERS --> <!-- LayerOptions Dictionary --> <!-- LAYER NR.33 -->
<a href="http://seal-analytical.com/Markets/FoodBeverageAnalysis/tabid/810/language/en-US/Default.aspx" target="_self" class="tp-caption q4010banner5_1 randomrotate ltr start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " data-x="left" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="Power4.easeInOut" data-elementdelay="0.1" data-endelementdelay="1000" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Food & Bev</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.150 -->
<a href="http://seal-analytical.com/Markets" target="_self" class="tp-caption q4010banner5_1 randomrotate ltr start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " data-x="right" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="Power4.easeInOut" data-elementdelay="0.1" data-endelementdelay="1000" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Applications</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.162 -->
<a href="https://www.seal-analytical.com/Buy-Parts" target="_self" class="tp-caption q4010banner5_1 randomrotate ltr start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " alt="Buy Parts" data-x="right" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="Power4.easeInOut" data-elementdelay="0.1" data-endelementdelay="1000" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Buy Parts</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.163 -->
<a href="https://www.seal-analytical.com/Products" target="_self" class="tp-caption q4010banner5_1 randomrotate ltr start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " alt="View Products" data-x="left" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="Power4.easeInOut" data-elementdelay="0.1" data-endelementdelay="1000" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>View Products</h3></a>
</li> <!-- SliderOptions Dictionary --> <!-- SLIDE.18-->
<li class="tp-slides-item tp-revslider-slidesli" data-randomtransition="on" data-slotamount="0" data-masterspeed="300" data-saveperformance="off" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"
style="width: 100%; height: 100%; overflow: hidden;"> <!-- Background picture -->
<div class="slotholder" style="width:100%;height:100%;" data-duration="3000" data-zoomstart="undefined" data-zoomend="undefined" data-rotationstart="undefined" data-rotationend="undefined" data-ease="easeOutExpo"
data-bgpositionend="left" data-bgposition="left" data-kenburns="off" data-easeme="easeOutExpo" data-bgfit="cover" data-bgfitend="100" data-owidth="undefined" data-oheight="undefined">
<div class="tp-bgimg defaultimg" data-lazyload="undefined" data-bgfit="cover" data-bgposition="left" data-bgrepeat="no-repeat" data-lazydone="undefined"
src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-2.png" data-src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-2.png"
style="background-color:rgba(0, 0, 0, 0);background-repeat:no-repeat;background-image:url(/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-2.png);background-size:cover;background-position:left;width:100%;height:100%;">
</div>
</div> <!-- LAYERS --> <!-- LayerOptions Dictionary --> <!-- LAYER NR.52 -->
<a href="http://www.seal-analytical.com/Markets/WaterAnalysis/tabid/112/language/en-US/Default.aspx" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:400; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " data-x="left" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Freshwater</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.144 -->
<a href="http://www.seal-analytical.com/Markets" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:400; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " data-x="right" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Applications</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.164 -->
<a href="https://www.seal-analytical.com/Buy-Parts" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:400; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " alt="Buy Parts" data-x="right" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Buy Parts</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.165 -->
<a href="https://www.seal-analytical.com/Products" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:400; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " alt="View Products" data-x="left" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>View Products</h3></a>
</li> <!-- SliderOptions Dictionary --> <!-- SLIDE.16-->
<li class="tp-slides-item tp-revslider-slidesli" data-randomtransition="on" data-slotamount="0" data-masterspeed="300" data-saveperformance="off" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"
style="width: 100%; height: 100%; overflow: hidden;"> <!-- Background picture -->
<div class="slotholder" style="width:100%;height:100%;" data-duration="3000" data-zoomstart="undefined" data-zoomend="undefined" data-rotationstart="undefined" data-rotationend="undefined" data-ease="easeOutExpo"
data-bgpositionend="left" data-bgposition="left" data-kenburns="off" data-easeme="easeOutExpo" data-bgfit="cover" data-bgfitend="100" data-owidth="undefined" data-oheight="undefined">
<div class="tp-bgimg defaultimg" data-lazyload="undefined" data-bgfit="cover" data-bgposition="left" data-bgrepeat="no-repeat" data-lazydone="undefined"
src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-3.png" data-src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-3.png"
style="background-color:rgba(0, 0, 0, 0);background-repeat:no-repeat;background-image:url(/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-3.png);background-size:cover;background-position:left;width:100%;height:100%;">
</div>
</div> <!-- LAYERS --> <!-- LayerOptions Dictionary --> <!-- LAYER NR.46 -->
<a href="http://www.seal-analytical.com/Markets/SeawaterAnalysis/tabid/116/language/en-US/Default.aspx" target="_self" class="tp-caption q4010banner1_1 sfl stt start" style=" width:750; height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#AA9DD8; word-wrap:normal; white-space: normal; " data-x="left" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Seawater</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.145 -->
<a href="http://www.seal-analytical.com/Markets" target="_self" class="tp-caption q4010banner1_1 sfl stt start" style=" width:750; height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#AA9DD8; word-wrap:normal; white-space: normal; " data-x="right" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Applications</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.166 -->
<a href="https://www.seal-analytical.com/Buy-Parts" target="_self" class="tp-caption q4010banner1_1 sfl stt start" style=" width:750; height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#AA9DD8; word-wrap:normal; white-space: normal; " alt="Buy Parts" data-x="right" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Buy Parts</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.167 -->
<a href="https://www.seal-analytical.com/Products" target="_self" class="tp-caption q4010banner1_1 sfl stt start" style=" width:750; height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#AA9DD8; word-wrap:normal; white-space: normal; " alt="View Products" data-x="left" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>View Products</h3></a>
</li> <!-- SliderOptions Dictionary --> <!-- SLIDE.19-->
<li class="tp-slides-item tp-revslider-slidesli" data-randomtransition="on" data-slotamount="0" data-masterspeed="300" data-saveperformance="off" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"
style="width: 100%; height: 100%; overflow: hidden; visibility: hidden; opacity: 0; z-index: 18;"> <!-- Background picture -->
<div class="slotholder" style="width:100%;height:100%;" data-duration="3000" data-zoomstart="undefined" data-zoomend="undefined" data-rotationstart="undefined" data-rotationend="undefined" data-ease="easeOutExpo"
data-bgpositionend="left" data-bgposition="left" data-kenburns="off" data-easeme="easeOutExpo" data-bgfit="cover" data-bgfitend="100" data-owidth="undefined" data-oheight="undefined">
<div class="tp-bgimg defaultimg" data-lazyload="undefined" data-bgfit="cover" data-bgposition="left" data-bgrepeat="no-repeat" data-lazydone="undefined"
src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-5.png" data-src="/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-5.png"
style="background-color: rgba(0, 0, 0, 0); background-repeat: no-repeat; background-image: url("/Portals/0/LayerGallery/uploads/2022/3/1/fresh-2-pexels-photo-518485-banner-5.png"); background-size: cover; background-position: left center; width: 100%; height: 100%; visibility: hidden; opacity: 0;">
</div>
</div> <!-- LAYERS --> <!-- LayerOptions Dictionary --> <!-- LAYER NR.55 -->
<a href="http://www.seal-analytical.com/Markets/SoilPlantAnalysis/tabid/117/language/en-US/Default.aspx" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " data-x="left" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Soil & Plant</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.146 -->
<a href="http://www.seal-analytical.com/Markets" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " data-x="right" data-y="bottom" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Applications</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.168 -->
<a href="https://www.seal-analytical.com/Buy-Parts" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " alt="Buy Parts" data-x="right" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>Buy Parts</h3></a>
<!-- LayerOptions Dictionary --> <!-- LAYER NR.169 -->
<a href="https://www.seal-analytical.com/Products" target="_self" class="tp-caption q4010banner1_1 lfr stt start" style=" height:450; padding-top:15px; padding-left:15px; padding-right:15px; padding-bottom:15px; font-size:20px; color:#000000; background-color:#aa9dd8; word-wrap:normal; white-space: normal; " alt="View Products" data-x="left" data-y="center" data-hoffset="0" data-voffset="-30" data-speed="500" data-splitin="none" data-splitout="none" data-start="1000" data-easing="easeOutExpo" data-elementdelay="0.1" data-endelementdelay="0.1" data-endspeed="500" data-endeasing="easeOutExpo" data-displaydesktop="on" data-displaytablet="on" data-displayphone="on"><h3>View Products</h3></a>
</li> <!-- SliderOptions Dictionary --> <!-- SLIDE.13--> <!-- SliderOptions Dictionary --> <!-- SLIDE.12-->
</ul>
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<h3 style="font-size:20px;color:#ffffff"> AQ300 Discrete Analyzer </h3>
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<p><strong>The AQ300 Discrete Analyzer brings all the same benefits as the AQ400 Discrete Analyzer, but with a smaller footprint and lower sample throughput, Making it ideal for laboratories with less space or
smaller workload all while </strong> <strong>utilizing </strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> BD50 / BD28 Block Digestion System </h3>
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<p><strong>The SEAL Analytical Digestion Block is a Kjeldahl digestion system that automates acid digestions of up to 50 laboratory samples simultaneously. It is ideal for Total Nitrogen (TKN) and Phosphorous (TP)
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<h3 style="font-size:20px;color:#ffffff"> Minilab 1200 BOD System </h3>
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<p>Automating BOD. Cost effective solution for automating Biological Oxygen Demand</p>
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<h3 style="font-size:20px;color:#ffffff"> DEENA II </h3>
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<p><strong>The DEENA II is an automated metals and mercury digestion system that fully automates the digestion process, including dispensing reagents, heating and cooling. DEENA II has the necessary functionality
to automate your standard sample digestion process without modification.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> The SEAL AA500 Segmented Flow Analyzer </h3>
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<p><strong>The AA500 is the AutoAnalyzer you’ve been waiting for- total automation, ultralow detection, multitest chemistries, high throughput </strong></p>
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<a href="https://www.seal-analytical.com/Products/Segmented-Flow-Analyzers/QuAAtro39-AutoAnalyzer" target="_self" class="imgLink" title="QuAAtro 39" data-effect="mfp-zoom-in" tabindex="0"></a>
<img src="https://www.seal-analytical.com/Portals/0/DNNGalleryPro/uploads/2017/11/25/QuAAtro-SegmentedFlow.jpg" alt="QuAAtro 39" title="QuAAtro 39">
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<h3 style="font-size:20px;color:#ffffff"> QuAAtro 39 </h3>
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<p><strong>The QuAAtro39 high performance microflow chemistry analyzer is ideal for the detection of ultra-low nutrients in water, wastewater, seawater, soil, plant extracts, tobacco and wine, utilizing
</strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> The SEAL AA100 Auto Analyzer </h3>
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<p><strong>The compact dual channel AA100 AutoAnalyzer is the ideal chemical analyzer for laboratories running only 1 or 2 dedicated chemistries. Like the bigger AA500 AutoAnalyzer it is designed specifically for
environmental and industrial testing laboratories, </strong> <strong>utilizing </strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> AQ400 Discrete Analyzer </h3>
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<p><strong>The SEAL AQ400 Discrete Analyzer is a bench-top analyzer designed by chemists to address the needs of environmental laboratories requiring high levels of automation, a wide range of chemistries and
limits of detection that ensure compliance with regulatory requirements.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> SmartBlock ll - Graphite Heating Block </h3>
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<p><strong>The SmartBlock ll is a graphite heating block that can simultaneously digest up to 60 samples. Faster, simpler and safer than digestions carried out using traditional laboratory equipment, the robust
construction, small footprint and economical pricing makes it ideal for small laboratories or those with limited space looking for simpler and safer Metals digestions.</strong></p>
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<p><strong>The AQ300 Discrete Analyzer brings all the same benefits as the AQ400 Discrete Analyzer, but with a smaller footprint and lower sample throughput, Making it ideal for laboratories with less space or
smaller workload all while </strong> <strong>utilizing </strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<a href="https://www.seal-analytical.com/Products/Digestion/Digestion-Block-BD50-BD28" target="_self" class="imgLink" title="BD50 / BD28 Block Digestion System" data-effect="mfp-zoom-in" tabindex="-1"></a>
<img src="https://www.seal-analytical.com/Portals/0/DNNGalleryPro/uploads/2017/11/25/BlockDigestion-BD50.jpg" alt="BD50 / BD28 Block Digestion System" title="BD50 / BD28 Block Digestion System">
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<h3 style="font-size:20px;color:#ffffff"> BD50 / BD28 Block Digestion System </h3>
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<p><strong>The SEAL Analytical Digestion Block is a Kjeldahl digestion system that automates acid digestions of up to 50 laboratory samples simultaneously. It is ideal for Total Nitrogen (TKN) and Phosphorous (TP)
digestion.</strong></p>
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<a href="https://www.seal-analytical.com/Products/Robotic-Handling-Systems/MiniLab-BOD-Analyzer" target="_self" class="imgLink" title="Minilab 1200 BOD System" data-effect="mfp-zoom-in" tabindex="-1"></a>
<img src="https://www.seal-analytical.com/Portals/0/DNNGalleryPro/uploads/2018/2/23/4%20-%20Pitcon%20BOD%20unit%200%20-%20BOD%20ML-1200%20rezized.png" alt="Minilab 1200 BOD System" title="Minilab 1200 BOD System">
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<h3 style="font-size:20px;color:#ffffff"> Minilab 1200 BOD System </h3>
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<p>Automating BOD. Cost effective solution for automating Biological Oxygen Demand</p>
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<p><strong>The DEENA II is an automated metals and mercury digestion system that fully automates the digestion process, including dispensing reagents, heating and cooling. DEENA II has the necessary functionality
to automate your standard sample digestion process without modification.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> The SEAL AA500 Segmented Flow Analyzer </h3>
<div style="font-size:14px;color:#ffffff">
<p><strong>The AA500 is the AutoAnalyzer you’ve been waiting for- total automation, ultralow detection, multitest chemistries, high throughput </strong></p>
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<a href="https://www.seal-analytical.com/Products/Segmented-Flow-Analyzers/QuAAtro39-AutoAnalyzer" target="_self" class="imgLink" title="QuAAtro 39" data-effect="mfp-zoom-in" tabindex="-1"></a>
<img src="https://www.seal-analytical.com/Portals/0/DNNGalleryPro/uploads/2017/11/25/QuAAtro-SegmentedFlow.jpg" alt="QuAAtro 39" title="QuAAtro 39">
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<a href="https://www.seal-analytical.com/Products/Segmented-Flow-Analyzers/QuAAtro39-AutoAnalyzer" target="_self" title="QuAAtro 39" data-effect="mfp-zoom-in" tabindex="-1">
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<h3 style="font-size:20px;color:#ffffff"> QuAAtro 39 </h3>
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<p><strong>The QuAAtro39 high performance microflow chemistry analyzer is ideal for the detection of ultra-low nutrients in water, wastewater, seawater, soil, plant extracts, tobacco and wine, utilizing
</strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<a href="https://www.seal-analytical.com/Products/Segmented-Flow-Analyzers/AA100-AutoAnalyzer" target="_self" title="The SEAL AA100 Auto Analyzer" data-effect="mfp-zoom-in" tabindex="-1">
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<h3 style="font-size:20px;color:#ffffff"> The SEAL AA100 Auto Analyzer </h3>
<div style="font-size:14px;color:#ffffff">
<p><strong>The compact dual channel AA100 AutoAnalyzer is the ideal chemical analyzer for laboratories running only 1 or 2 dedicated chemistries. Like the bigger AA500 AutoAnalyzer it is designed specifically for
environmental and industrial testing laboratories, </strong> <strong>utilizing </strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> AQ400 Discrete Analyzer </h3>
<div style="font-size:14px;color:#ffffff">
<p><strong>The SEAL AQ400 Discrete Analyzer is a bench-top analyzer designed by chemists to address the needs of environmental laboratories requiring high levels of automation, a wide range of chemistries and
limits of detection that ensure compliance with regulatory requirements.</strong></p>
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<a href="https://www.seal-analytical.com/Products/Digestion/SmartBlock-ll-Graphite-Heating-Block" target="_self" class="imgLink" title="SmartBlock ll - Graphite Heating Block" data-effect="mfp-zoom-in" tabindex="-1"></a>
<img src="https://www.seal-analytical.com/Portals/0/DNNGalleryPro/uploads/2017/11/27/SmartBlockII2.jpg" alt="SmartBlock ll - Graphite Heating Block" title="SmartBlock ll - Graphite Heating Block">
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<h3 style="font-size:20px;color:#ffffff"> SmartBlock ll - Graphite Heating Block </h3>
<div style="font-size:14px;color:#ffffff">
<p><strong>The SmartBlock ll is a graphite heating block that can simultaneously digest up to 60 samples. Faster, simpler and safer than digestions carried out using traditional laboratory equipment, the robust
construction, small footprint and economical pricing makes it ideal for small laboratories or those with limited space looking for simpler and safer Metals digestions.</strong></p>
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<h3 style="font-size:20px;color:#ffffff"> AQ300 Discrete Analyzer </h3>
<div style="font-size:14px;color:#ffffff">
<p><strong>The AQ300 Discrete Analyzer brings all the same benefits as the AQ400 Discrete Analyzer, but with a smaller footprint and lower sample throughput, Making it ideal for laboratories with less space or
smaller workload all while </strong> <strong>utilizing </strong><strong>USEPA, ISO and ASTM standard methods.</strong></p>
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<h2> <span id="dnn_ctr1995_dnnTITLE2_titleLabel" class="Home38-heading01">SEAL's NEW range of Lab Automation</span>
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<p class="meet">SEAL Analytical has an exciting new range of robotic testing and handling systems. These are ideal for automating sample splitting, (pre) treatment, and tests such as BOD, pH, EC, turbidity, colour
and alkalinity. They are manufactured in the new SEAL Netherlands factory. Contact us for more information on how we can make your laboratory more automated and efficient.</p>
<a href="/Products/RoboticHandlingSystems/AboutMiniLabRoboticHandlingSystems/tabid/940/language/en-US/Default.aspx" target="blank">Learn More About the MiniLab</a>
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<p class="mb-20 mt-20">The UK’s National Oceanography Centre’s (NOC) ocean-going lab is the real test of a nutrient analyzer. The NOC undertakes integrated ocean research and technology development from the coast to the
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BD50 / BD28 BLOCK DIGESTION SYSTEM The SEAL Analytical Digestion Block is a Kjeldahl digestion system that automates acid digestions of up to 50 laboratory samples simultaneously. It is ideal for Total Nitrogen (TKN) and Phosphorous (TP) digestion. MINILAB 1200 BOD SYSTEM Automating BOD. Cost effective solution for automating Biological Oxygen Demand DEENA II The DEENA II is an automated metals and mercury digestion system that fully automates the digestion process, including dispensing reagents, heating and cooling. DEENA II has the necessary functionality to automate your standard sample digestion process without modification. THE SEAL AA500 SEGMENTED FLOW ANALYZER The AA500 is the AutoAnalyzer you’ve been waiting for- total automation, ultralow detection, multitest chemistries, high throughput QUAATRO 39 The QuAAtro39 high performance microflow chemistry analyzer is ideal for the detection of ultra-low nutrients in water, wastewater, seawater, soil, plant extracts, tobacco and wine, utilizing USEPA, ISO and ASTM standard methods. THE SEAL AA100 AUTO ANALYZER The compact dual channel AA100 AutoAnalyzer is the ideal chemical analyzer for laboratories running only 1 or 2 dedicated chemistries. Like the bigger AA500 AutoAnalyzer it is designed specifically for environmental and industrial testing laboratories, utilizing USEPA, ISO and ASTM standard methods. AQ400 DISCRETE ANALYZER The SEAL AQ400 Discrete Analyzer is a bench-top analyzer designed by chemists to address the needs of environmental laboratories requiring high levels of automation, a wide range of chemistries and limits of detection that ensure compliance with regulatory requirements. SMARTBLOCK LL - GRAPHITE HEATING BLOCK The SmartBlock ll is a graphite heating block that can simultaneously digest up to 60 samples. Faster, simpler and safer than digestions carried out using traditional laboratory equipment, the robust construction, small footprint and economical pricing makes it ideal for small laboratories or those with limited space looking for simpler and safer Metals digestions. AQ300 DISCRETE ANALYZER The AQ300 Discrete Analyzer brings all the same benefits as the AQ400 Discrete Analyzer, but with a smaller footprint and lower sample throughput, Making it ideal for laboratories with less space or smaller workload all while utilizing USEPA, ISO and ASTM standard methods. BD50 / BD28 BLOCK DIGESTION SYSTEM The SEAL Analytical Digestion Block is a Kjeldahl digestion system that automates acid digestions of up to 50 laboratory samples simultaneously. It is ideal for Total Nitrogen (TKN) and Phosphorous (TP) digestion. MINILAB 1200 BOD SYSTEM Automating BOD. Cost effective solution for automating Biological Oxygen Demand DEENA II The DEENA II is an automated metals and mercury digestion system that fully automates the digestion process, including dispensing reagents, heating and cooling. DEENA II has the necessary functionality to automate your standard sample digestion process without modification. THE SEAL AA500 SEGMENTED FLOW ANALYZER The AA500 is the AutoAnalyzer you’ve been waiting for- total automation, ultralow detection, multitest chemistries, high throughput QUAATRO 39 The QuAAtro39 high performance microflow chemistry analyzer is ideal for the detection of ultra-low nutrients in water, wastewater, seawater, soil, plant extracts, tobacco and wine, utilizing USEPA, ISO and ASTM standard methods. THE SEAL AA100 AUTO ANALYZER The compact dual channel AA100 AutoAnalyzer is the ideal chemical analyzer for laboratories running only 1 or 2 dedicated chemistries. Like the bigger AA500 AutoAnalyzer it is designed specifically for environmental and industrial testing laboratories, utilizing USEPA, ISO and ASTM standard methods. AQ400 DISCRETE ANALYZER The SEAL AQ400 Discrete Analyzer is a bench-top analyzer designed by chemists to address the needs of environmental laboratories requiring high levels of automation, a wide range of chemistries and limits of detection that ensure compliance with regulatory requirements. SMARTBLOCK LL - GRAPHITE HEATING BLOCK The SmartBlock ll is a graphite heating block that can simultaneously digest up to 60 samples. Faster, simpler and safer than digestions carried out using traditional laboratory equipment, the robust construction, small footprint and economical pricing makes it ideal for small laboratories or those with limited space looking for simpler and safer Metals digestions. AQ300 DISCRETE ANALYZER The AQ300 Discrete Analyzer brings all the same benefits as the AQ400 Discrete Analyzer, but with a smaller footprint and lower sample throughput, Making it ideal for laboratories with less space or smaller workload all while utilizing USEPA, ISO and ASTM standard methods. * 1 * 2 SEAL'S NEW RANGE OF LAB AUTOMATION SEAL Analytical has an exciting new range of robotic testing and handling systems. These are ideal for automating sample splitting, (pre) treatment, and tests such as BOD, pH, EC, turbidity, colour and alkalinity. They are manufactured in the new SEAL Netherlands factory. Contact us for more information on how we can make your laboratory more automated and efficient. Learn More About the MiniLab LATEST NEWS SEAL WEBINAR SERIES Complimentary webinars hosted by our expert chemists to keep you informed and supported. Each webinar is approximately 60 minutes concluding with question and answer sessions and opportunities to address your specific issues. Join a webinar now. View More HIGH QUALITY LAB SUPPLIES SEAL genuine parts and laboratory consumables for SEAL instruments and other laboratory systems. Choose SEAL Laboratory Supplies for guaranteed quality and performance. Contact us for a catalogue. Autoship options available. View More AUSTRALIAN LAB'S KEYS TO SUCCESS Experience, resourcefulness and extra effort are the keys to success for this lab, situated in North Queensland, Australia. The laboratory started 35 years ago as a council laboratory monitoring the city's potable and wastewater systems. View More EVENTS AND EXHIBITIONS Come and meet us in person. It's one of the best ways to see why our Analyzers lead the world in environmental analysis, and (just as importantly) you can meet the Chemists who will be supporting you when you install a SEAL Analyzer. Learn More > SEAL PRESS RELEASE The UK’s National Oceanography Centre’s (NOC) ocean-going lab is the real test of a nutrient analyzer. The NOC undertakes integrated ocean research and technology development from the coast to the deep ocean and has a heavy requirement for seawater analysis in their facilities and on board research vessels. Under these conditions, high levels of precision and reliability can be a challenge for most laboratory equipment, so NOC has invested in SEAL Analytical segmented flow analyzers (SFAs) - the AA3 and the QuAAtro. Learn More > ABOUT SEAL A World Leader in Analyzers For Environmental & Industrial Applications SEAL Analytical Limited, a Porvair company brand, is a world leader in the design, development, and manufacture of automated Discrete Analyzers, Continuous Segmented Flow Analyzers and Sample Preparation equipment specifically for use in environmental applications. FOLLOW US + More Information MARKETS * * < > GENUINE PARTS * AA500 Parts * QuAAtro Parts * AA100 Parts * AutoAnalyzer Parts * AQ400 Discrete Analyzer Parts * AQ300 Discrete Analyzer Parts * AQ2 Discrete Analyzer Parts * AQ1 Discrete Analyzer Parts * Digestion Parts * SEAL Lab Supplies SEAL WORLD LOCATIONS * Americas * UK,Europe & Africa * Asia * Australia * Japan Copyright 2022 - SEAL Analytical, Inc. | Privacy Statement | Terms Of Use www.porvair-sciences.com About SEAL | Contact Us We use cookies to give you the best online experience. By agreeing you accept the use of cookies in accordance with our cookie policy. ACCEPT COOKIES