<p><span><strong>This study compares loss-on-ignition, acid decarbonation, and combustion elemental analysis for measuring organic carbon in sediments using certified reference materials and real samples. Loss-on-ignition conversions were inaccurate, while acid washing before elemental analysis caused significant organic carbon loss and poor precision.</strong></span></p><p><span>Combustion pretreatment followed by elemental analysis provided accurate and precise organic and inorganic carbon measurements, confirmed by temperature-dependent combustion. Across more than 150 intertidal sediment samples, acid decarbonation underestimated organic carbon by 37% ± 8%, supporting combustion-based elemental analysis as the preferred approach for reliable sediment carbon determination.</span></p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#s0055"><strong>Comparing loss-on-ignition, acid decarbonation and combustion elemental analysis for measuring organic carbon concentrations – recommendations for best practice</strong></a></h4><p>Robert B. Sparkes, Stuart A. Rae, Lucy McMahon, Hannah L. Mossman, David McKendry, Clare E. Dean, Graham Tinsley, Frances Fowden, Connor J. Grisdale, Hafiza Begum, Holly Hope, Charlotte McEnhill, Samuel O’Boyle, Nawal Sohail, Marvyn Wachira, Rachel M. Dunk</p><p>Organic Geochemistry, Volume 218, 2026, 105215</p><div><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1016/j.orggeochem.2026.105215"><span>10.1016/j.orggeochem.2026.105215</span></a></div><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><div><div><div><div><div><p>Environmental and Earth scientists frequently require measurements of carbon contents, including both the total carbon concentration (TC) and the fractions contributed by carbon from organic matter (organic carbon; OC) and carbonate minerals (inorganic carbon; IC; <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0025"><span>Bendle et al., 2009</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0220"><span>Radabaugh et al., 2018</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0230"><span>Saderne et al., 2019</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0240"><span>Scheingross et al., 2019</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0260"><span>Smeaton et al., 2021</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0295"><span>Vonk et al., 2012</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0315"><span>Wood et al., 2021</span></a>).</p><p>Accurate, precise, and affordable carbon concentration measurements are critical to the drive towards net-zero emissions, which requires monitoring, reporting and verification of carbon burial and release from an array of global environments (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0210"><span>Post et al., 2001</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0265"><span>Smith, 2004</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0270"><span>Smith et al., 2020</span></a>). Carbon concentration measurements also underpin further analyses (e.g. normalising the concentration of individual biomarker compounds against the total organic carbon concentration, calculating elemental carbon to nitrogen ratios (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0290"><span>van Dongen et al., 2008</span></a>), determining the correct sample load for isotope ratio measurements). Despite carbon concentration measurements being ubiquitous throughout multiple disciplines there is no standard approach for making these, especially determining the organic component of the sedimentary carbon (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0080"><span>Fest et al., 2022</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0320"><span>Young et al., 2018</span></a>). Different disciplines have often generated their own consensus approach, which may not align with studies from another field, even those working on similar samples and asking similar questions (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0070"><span>Farmer et al., 2014</span></a>). Use of an agreed standard measurement protocol for carbon concentrations, or understanding the agreement/variability between protocols, is vital for regulatory monitoring, reporting and verification (MRV), such as the ongoing development of carbon offsetting standards that, if implemented robustly, could provide real-world benefits to climate mitigation (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0035"><span>Bonn et al., 2014</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0045"><span>Burden et al., 2023</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0105"><span>Guizar-Coutiño et al., 2022</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0190"><span>Needelman et al., 2018</span></a>, <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0205"><span>Pan et al., 2022</span></a>). Determining a standardised, verified approach to carbon measurement is important for those performing MRV, who may not have access to advanced and/or expensive analytical instrumentation.</p><p>This study compares three common methods for quantifying the total and organic carbon concentrations in sedimentary samples: i) loss-on-ignition, ii) elemental analysis combined with acid decarbonation, and iii) elemental analysis combined with organic matter combustion. The comparison focuses on assessing the accuracy, precision, and repeatability of each method, identifying their respective strengths and weaknesses, and independently confirming findings via a fourth method (temperature dependent combustion and infrared CO<sub>2</sub> measurement) to provide recommendations for best practice. A summary review of these methods is provided below.</p><h4><strong>2. Materials and methods</strong></h4><h5><strong>2.3. Independent testing of reference materials via TDC</strong></h5><p>Standards were analysed by the supplier (Elemental Microanalysis Ltd, UK) as part of the certification process: 15/30 elemental analysis measurements gave expected values of TC, OC and IC and the uncertainty for TC, following ISO/IEC17025. These values were independently checked using an <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=16&amp;search=Soli+TOC"><strong>Elementar SoliTOC cube</strong></a> instrument at the instrument manufacturer’s headquarters (Elementar Analysensysteme, Hanau, Germany), which used the TDC method. Two combustion ramps were applied, first a two-step OC and IC determination at 500 °C and 900 °C, and then a three-step programme at 400 °C and 600 °C for easily-combustible and residual OC fractions and 900 °C for IC, with three repeat measurements of each. The SoliTOC cube instrument also analysed the agricultural soil sample, again making three repeat measurements of both the two-step and three-step temperature dependent combustion protocols (see Supplementary Table 3).</p><h5><strong>2.5. Elemental analysis</strong></h5><p>Total carbon concentrations were measured following the protocol described in <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0180"><span>Mossman et al. (2022)</span></a>. 20&nbsp;mg of either untreated or pre-treated sample was weighed into tin capsules (Elemental Microanalysis Ltd.) and analysed for carbon concentrations using a Vario EL cube elemental analyser (Elementar Ltd.). Before each analytical run, the instrument was cleaned using three blanks without oxygen and seven blanks with oxygen, and calibrated using five analyses of up to 14&nbsp;mg ethylenediaminetetraacetic acid (EDTA) standard (Elemental Microanalysis Ltd.) and three analyses of an independent Soil Standard (Clay) CRM, acquired separately to the Soil Standard (Clay) CRM used to create analytical samples for this study (Elemental Microanalysis Ltd.). Three analyses of the EDTA calibration standard were repeated after every twenty samples. Long-term drift was monitored by repeated measurements of an internal laboratory standard sample, which has been analysed since 2015. Over the course of 65 measurements across 10 instrument runs for this study the laboratory standard showed no systematic drift.</p><h4><strong>3. Results and discussion</strong></h4><h5><strong>3.1. Testing of certified reference materials (CRMs) using temperature dependent combustion (TDC)</strong></h5><p>Both two-step and three-step TDC protocols consistently measured carbon contents close to but slightly below the supplier-certified values (see <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#f0005"><span>Fig. 1</span></a>). For Soil Standard (Clay), the TDC instrument under-estimated OC by 0.10&nbsp;wt% (two-step) and 0.14&nbsp;wt% (three-step) and IC by 0.15&nbsp;wt% (two-step) and 0.087&nbsp;wt% (three-step). For Soil Standard (Peaty) the TDC instrument underestimated OC by 0.26&nbsp;wt% (two-step) and 0.34&nbsp;wt% (three-step), and IC by 0.021&nbsp;wt% (two-step) and 0.090&nbsp;wt% (three-step). Relative differences for OC are small, 5.1 – 7.0% for Clay and just 1.7 – 2.2% for Peaty, but higher for IC due to the small amount of IC present in the standards (25 – 44% for Clay, 7.0 – 30% for Peaty).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Organic_Geochemistry_Volume_218_2026_105215_Fig_1_Comparison_of_organic_carbon_and_inorganic_carbon_measurements_on_two_certified_reference_materials_using_four_methods_31537717b3.jpg" alt="Organic Geochemistry, Volume 218, 2026, 105215: Fig. 1. Comparison of organic carbon and inorganic carbon measurements on two certified reference materials using four methods. Upper panel is Soil Standard (Clay) and lower panel Soil Standard (Peaty). Yellow diamonds show the certified value (Elemental Microanalysis Ltd) with manufacturer stated uncertainty in total carbon used as error bars for OC and IC (n = 30). White and grey symbols represent Loss-on-Ignition results using four different organic matter to organic carbon conversion equations (grey sqaures use the “van Bemmelen” scaling factor (Pribyl, 2010), grey circles the Craft et al. (1991) factor, white diamonds the Ouyang and Lee (2020) equation and white circles the Smeaton et al. (2022) equation. IC values for all LoI results use the C/CO2 mass fraction (Wang et al., 2011). Blue circles show the acid decarbonation and elemental analysis protocol, orange circles the combustion and elemental analysis protocol. Green and purple circles show mean results from temperature dependent combustion method (2-step and 3-step protocols respectively). Error bars represent one standard deviation after multiple measurements (n = 2 to n = 4). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Organic_Geochemistry_Volume_218_2026_105215_Fig_1_Comparison_of_organic_carbon_and_inorganic_carbon_measurements_on_two_certified_reference_materials_using_four_methods_31537717b3.jpg 116w," sizes="100vw" width="2756" height="3698"></p><h5><strong>3.4. Reproducibility tests</strong></h5><p>Having shown that combustion coupled with elemental analysis was the most robust method for measuring OC in pure and diluted standards, the next experiment tested the reproducibility of these protocols over multiple implementations. A dried, ground agricultural soil sample was repeatedly analysed using each method (separate aliquots were measured using LoI at 500 °C and 800 °C, separate untreated aliquots were analysed via EA, separate aliquots were combusted at 500 °C and analysed via EA, and separate acid decarbonations were carried out prior to EA measurements). This required a large amount of starting material, more than was available in the CRMs. Independent external measurement of the soil sample using temperature dependent combustion (Elementar, Germany) gave mean OC&nbsp;=&nbsp;2.50&nbsp;±&nbsp;0.002&nbsp;wt% and IC&nbsp;=&nbsp;1.29&nbsp;±&nbsp;0.008&nbsp;wt% for combustion to 500 °C (n&nbsp;=&nbsp;3), whereas combustion to 600 °C gave OC&nbsp;=&nbsp;2.52&nbsp;±&nbsp;0.075 and IC&nbsp;=&nbsp;1.12&nbsp;±&nbsp;0.010&nbsp;wt% (n&nbsp;=&nbsp;3).</p><div><p>LoI showed differences in mean OC depending on the equation chosen (<a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#f0010"><span>Fig. 2</span></a>). The conversions of <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0050"><span>Craft et al. (1991)</span></a> and <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0200"><span>Ouyang and Lee (2020)</span></a> were similar to the independent measurements (2.90&nbsp;±&nbsp;0.05&nbsp;wt% and 2.60&nbsp;±&nbsp;0.07&nbsp;wt% respectively; n&nbsp;=&nbsp;9 for each), but the equations of <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#b0255"><span>Smeaton et al. (2022)</span></a> and van Bemmelen over-estimated OC (4.19&nbsp;±&nbsp;0.05 and 4.21&nbsp;±&nbsp;0.08&nbsp;wt% respectively; n&nbsp;=&nbsp;9 for each). IC estimates using the C/CO<sub>2</sub> mass fraction conversion were higher than the expected value (1.91&nbsp;±&nbsp;0.06&nbsp;wt%, n&nbsp;=&nbsp;9). Note that the relative standard deviation for OC<sub>LoI</sub> was&nbsp;∼&nbsp;1.8%, and 3.2% for IC<sub>LoI</sub>, showing acceptable run-to-run precision.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Organic_Geochemistry_Volume_218_2026_105215_Fig_2_Organic_and_inorganic_carbon_measurements_following_repeated_analysis_of_a_homogenised_soil_sample_via_multiple_methods_c5d62ece0b.jpg" alt="Organic Geochemistry, Volume 218, 2026, 105215: Fig. 2. Organic and inorganic carbon measurements following repeated analysis of a homogenised soil sample via multiple methods. Markers for each method are shown in the legend and are the same as Fig. 1. Small black circles and error bars show the mean and one standard deviation after multiple repetitions of each protocol (n = 9 for LoI, C-EA and AD-EA, n = 3 for TDC)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Organic_Geochemistry_Volume_218_2026_105215_Fig_2_Organic_and_inorganic_carbon_measurements_following_repeated_analysis_of_a_homogenised_soil_sample_via_multiple_methods_c5d62ece0b.jpg 204w," sizes="100vw" width="2363" height="1815"></p><p>Since OC<sub>C-EA</sub> and IC<sub>AD-EA</sub> were calculated by subtraction from mean TC<sub>EA</sub>, all data from the C-EA and AD-EA methods plotted on a straight line in <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0146638026000902#f0010"><span>Fig. 2</span></a>, representing OC&nbsp;+&nbsp;IC&nbsp;=&nbsp;TC. However, position and scatter along that line varied between the two pre-treatment techniques. OC<sub>C-EA</sub> clustered just higher than the independent measurements using TDC (2.60&nbsp;±&nbsp;0.03&nbsp;wt%, n&nbsp;=&nbsp;9). Propagating the errors in TC and IC gave a combined error estimate of&nbsp;±&nbsp;0.1&nbsp;wt% for the repeated OC<sub>C-EA</sub> measurements. IC<sub>C-EA</sub> was also close to but slightly higher than the TCD results, 1.35&nbsp;±&nbsp;0.03&nbsp;wt%. AD-EA, however, gave mean OC values of 2.00&nbsp;±&nbsp;0.12&nbsp;wt% (n&nbsp;=&nbsp;9) which was more variable run-to-run than the other methods and gave a significantly (p&nbsp;&lt;&nbsp;0.0001) lower mean OC value than the TCD results. Once again, acid decarbonation results suggested that a large amount of organic matter was lost during the acid treatment, tested further in the next section.</p></div><h4><strong>4.3. Conclusions</strong></h4><p>An accurate, precise, efficient, and standardised method for measuring total, organic and inorganic carbon contents of sediment samples is critical for both scientific research and environmental monitoring and reporting and verification. We rigorously tested three methods for measuring carbon contents in soils and intertidal sediments, using certified reference materials and&nbsp;&gt;&nbsp;150 sediment samples. Loss-on-ignition (LoI) is cheap and easy but showed moderate run-to-run variability and, without careful calibration, it is not accurate.</p><p>Elemental analysis (EA) is an accurate and precise method for total carbon (TC) analysis. Measuring organic and inorganic carbon via EA requires pre-treatment of the sample, and this study tested both acid decarbonation and combustion preparation techniques. Acid decarbonation led to significant and variable organic carbon loss, meaning that true organic carbon concentrations are likely higher than those measured following acidification. Combustion pre-treatment was shown to efficiently remove organic matter, leading to accurate and precise results, and we would recommend making organic carbon measurements in this way.</p></div></div></div></div></div>

Comparing loss-on-ignition, acid decarbonation and combustion elemental analysis for measuring organic carbon concentrations – recommendations for best practice

<p><strong>Wiley, a global leader in authoritative content and research intelligence, today announced the launch of its spectral analysis application programming interface (API) portfolio, providing users with a new, faster way to access its trusted spectral data, analytical algorithms, and predictive models—within their own workflows.</strong></p><p>Wiley has one of the most comprehensive and trusted collections of scientific reference databases in the world, relied upon as a gold standard for identifying unknown chemical compounds by laboratories, instrument vendors, and software platforms across pharmaceuticals, forensics, environmental science, chemicals, food, materials, and other fields. The new portfolio extends the data and tools into modern, API-driven environments—allowing users to integrate high-quality spectral intelligence directly into their own systems and workflows.</p><p>As sample volumes grow and lab workflows become more automated and software-driven, identifying and verifying compounds quickly and reliably becomes even more critical. The <strong>new API portfolio</strong> meets that need directly, giving labs and platforms a faster way to complete the process, whether catching a quality issue on a production line or identifying an unknown compound in the field. The result is less manual effort, faster analysis, and more confidence in the answer.</p><p>The launch builds on Wiley's mission to transform knowledge into actionable intelligence for corporate and academic researchers around the world.</p><p>"<i>Speed matters when you're trying to identify an unknown substance; a delayed analysis can mean an assembly line sitting idle or a forensic lab holding up a case,</i>” said Armughan Rafat, Wiley senior vice president and chief AI and data services officer. “<i>We've spent decades building the reference data this industry trusts. Now, by making that spectral data and analytical intelligence available through APIs, we're setting the standard for how labs and vendors turn unknowns into answers faster and at scale.</i>"</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Wiley_API_spectral_search_5bfcb1dd9b.png" alt="Wiley: spectral analysis API" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Wiley_API_spectral_search_5bfcb1dd9b.png 128w," sizes="100vw" width="802" height="977"></p><h5><strong>The API portfolio launches with four core capabilities:</strong></h5><ul><li><strong>Spectral Database Search API </strong>– Query Wiley’s comprehensive reference collections for rapid compound identification.</li><li><strong>Spectrum-Structure Validation API</strong> – Confirm proposed chemical structures against experimental spectral data.</li><li><strong>Compound Classification API</strong> – Classify unknown substances, including drugs, based on compound class.</li><li><strong>Spectra Prediction API </strong>– Generate predicted spectra to support research, method development, and validation.</li></ul><p>Unlike fragmented in-house databases or instrument-specific solutions, these APIs offer a continuously curated, vendor-neutral foundation that supports multi-technique workflows, regulatory compliance, and cross-platform interoperability. As a result, laboratories can increase throughput, minimize downtime, and protect the value of the instrumentation and data in which they've already invested.</p><h4><strong>Spectral Databases &amp; APIs</strong></h4><p>Spectral databases contain unique molecular “fingerprints” of substances captured through analytical techniques such as <strong>infrared (IR), mass spectrometry (MS), nuclear magnetic resonance (NMR), and Raman spectroscopy</strong>. By comparing experimental spectra against validated reference data, researchers can accurately identify unknown compounds across a wide range of applications.</p><p>An API is a common way for computer systems, from lab instruments to software platforms, to request information from one another and get an answer back automatically.</p><blockquote><p><strong>For more information about the Wiley spectral analysis API portfolio, please</strong> <a target="_blank" rel="noopener noreferrer" href="https://sciencesolutions.wiley.com/spectral-analysis-apis/"><strong>visit this website</strong></a></p></blockquote><h4><strong>About Wiley</strong></h4><p>Wiley is a global leader in authoritative content and research intelligence for the advancement of scientific discovery, innovation, and learning. With more than 200 years at the center of the scholarly ecosystem, Wiley combines trusted publishing heritage with AI-powered platforms to transform how knowledge is discovered, accessed, and applied. From individual researchers and students to Fortune 500 R&amp;D teams, Wiley enables the transformation of scientific breakthroughs into real-world impact. From knowledge to impact—Wiley is redefining what's possible in science and learning.&nbsp;</p>

Wiley Launches Its First Spectral Analysis API Portfolio

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 14th September 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you technical note by <strong>Agilent Technologies, </strong>application notes by<strong> Metrohm </strong>and <strong>Thermo Fisher Scientific </strong>and poster by<strong> Shimadzu / AOAC!</strong></p><h3><strong>1. Agilent Technologies: Transitioning from the </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=Cary+630"><strong>Agilent Cary 630 FTIR</strong></a><strong> to the </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=Cary+635"><strong>Agilent Cary 635 FTIR Spectrometer</strong></a></h3><p><strong>Demonstrating methodology equivalence for pharmaceutical applications</strong></p><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/te_cary_630_ftir_transition_cary_635_ftir_5994_9408en_agilent_a2ea2ce512.pdf"><strong>Full PDF for download</strong></a><strong>&nbsp;</strong></li></ul><p>Fourier transform infrared (FTIR) spectroscopy is a powerful analytical tool used to analyze a wide variety of materials by interpreting their infrared (IR) wavenumber absorptions. Within pharmaceutical and biopharmaceutical industries, FTIR analysis is integral for material identification and quality assurance of pharmaceutical&nbsp;substances.&nbsp;</p><p>In the pharmaceutical industry, the Agilent Cary 630 FTIR is used for the identification of drug products, incoming goods, and packaging materials, as specified in global pharmacopoeias, and provides quantitative information such as the concentration of components within pharmaceutical formulations.&nbsp;</p><p>Agilent now presents the Cary 635 FTIR spectrometer—an ultracompact, easy-to-use, high-performing, portable FTIR system. With greater IR power, the Cary 635 FTIR features greater detection sensitivity and faster scanning times. With its predecessor's modular design, the Cary 635 FTIR can analyze the same samples with a newly enhanced performance quality and efficiency.&nbsp;</p><p>For users in the pharmaceutical industry who have experience with the Cary 630 FTIR, this technical overview demonstrates the common methodologies and workflows between the Cary 635 FTIR and Cary 630 FTIR spectrometers for pharmaceutical purposes. It will compare the ability of the two instruments to measure and label IR spectra, identify relevant compounds such as active pharmaceutical ingredients (APIs), and quantify substances within commercial&nbsp;formulations.</p><h4><strong>Instrumentation and software&nbsp;</strong></h4><p>For comparison, all three application tests were conducted using the Cary 630 FTIR and Cary 635 FTIR spectrometers with ZnSe optics and equipped with a single-reflection diamond attenuated total reflectance (ATR) accessory. The specific method parameters are outlined within each corresponding application. Both the Cary 635 FTIR and Cary 630 FTIR use Agilent MicroLab software, which provides step-by-step instructions with supporting images to guide users through the entire analytical workflow. Both spectrometers follow the same methods and operational procedures from sample loading to data processing (Figure 1). Results are presented in an easy-to-understand, color-coded format with customizable limits, ensuring a rapid and intuitive data review.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The comparison presented here of both the Agilent Cary 635 FTIR and Cary 630 FTIR spectrometers demonstrated shared methodologies that produced consistent results across key applications within pharmacopoeia, including spectrum production, compound identification, and substance&nbsp;quantification. Featuring the same modularity, robustness, and ease of use as the Cary 630 FTIR, the Cary 635 FTIR also offers greater sensitivity and signal-to-noise ratio, resulting from an enhanced IR source intensity. Therefore, users operating in regulated environments can confidently upgrade to the Cary 635 FTIR with the understanding that the workflow from the Cary 630 FTIR is directly transferrable, and that their routine analyses will remain consistent and reliable.</p><h3><strong>2. Metrohm: Coconut water analysis by NIRS</strong></h3><p><strong>Determination of Brix, salinity, conductivity, and pH with one instrument</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_nir_145_download_05589da42d.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Fresh coconut water is the main edible part of the coconut (aside from the coconut meat) and has gained popularity as a health drink in recent years. Multiple factors influence the quality, such as harvesting time, growth location, and storage duration. This poses a challenge for industrial producers to achieve and maintain the desired product quality.&nbsp;</p><p>Testing the properties of coconut water with standard laboratory methods can be challenging, since trained lab personnel are needed. In contrast, near-infrared spectroscopy (NIRS) is fast, chemical-free, and does not require sample preparation. This Application Note explains how NIRS is used for the multiparameter analysis of coconut water. The NIRS solution is easy to use and can be implemented either atline or in a quality control lab.</p><h4><strong>EXPERIMENTAL EQUIPMENT&nbsp;</strong></h4><p>An <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=220&amp;search=OMNIS+NIR"><strong>OMNIS NIR Analyzer </strong></a>Liquid with a 1 mm flowthrough cell (Figure 1) was used to analyze 206 coconut samples from a commercial supplier. In this configuration, a peristaltic pump injects the sample into the flow-through cell, which is inserted into the cuvette holder. The cell is rinsed with water after each measurement.</p><h4><strong>CONCLUSION</strong></h4><p>This Application Note shows the feasibility of using NIR spectroscopy for the quality control of coconut water. The parameters Brix, conductivity, turbidity, pH value, and salinity can be monitored by NIRS in seconds without any sample preparation. The presented setup with a flow-through cell not only simplifies sample handling but also allows full automation when using an OMNIS Sample Robot. In addition to coconut water, the coconut fruit itself can also be analyzed using near-infrared spectroscopy.</p><h3><strong>3. Shimadzu / AOAC: Analysis of Heavy Metals in Baby Food Using ICP-MS</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/aoac_2026_46_d9c14b32e0.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Babies are more vulnerable to the effects of toxic metals, and baby food therefore requires careful testing. US and EU regulations1)–3) set limits for toxic metals in baby food. This study analyzed five baby foods using the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=ICPMS-2040%2F2050"><strong>ICPMS-2040/2050</strong></a> and evaluated spike recovery and long-term stability.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>Elemental analysis of baby food was conducted using ICP-MS.&nbsp;</p><p>We achieved detection limits that met stringent standards. The spike recovery tests provided good results for all samples with different matrices, confirming the validity of the analysis. Additionally, we analyzed 50 samples of infant formula with a high matrix approximately six hours and confirmed good stability.</p><h3><strong>4. Thermo Fisher Scientific: Process Raman as a comprehensive solution for downstream buffer workflow</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/process_raman_as_comprehensive_solution_an1440_en_c8049b8ede.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Raman technology is rapidly gaining interest as a promising Process Analytical Technology (PAT) solution for real-time, non-invasive monitoring and control of downstream biopharma processes, especially for therapeutics like monoclonal antibodies (mAbs) and nucleic acids. Raman measurement, based on the vibration of molecular bonds, is highly specific for identification and quantification, even in complex or interfering matrices.&nbsp;</p><p>As an in-line PAT tool, Raman spectroscopy offers direct and rapid measurement in aqueous phases without sample preparation. These features make it ideal for monitoring and controlling dynamic processes such as downstream processing.</p><p>This study demonstrates a real-time methodology for accurately quantifying formulation excipients in the dynamic ultrafiltration/diafiltration (UF/DF) process using the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2233"><strong>Thermo Scientific™ MarqMetrix™ All-In-One Process Raman Analyzer</strong></a> (Figure 1). In addition, this study also illustrates a case where process Raman was able to provide real-time information on buffer quality.</p><h4><strong>Results&nbsp;</strong></h4><p>The Partial Least Squares (PLS) models for L-histidine, L-arginine, and sucrose were initially tested using seven independent samples collected on three different process Raman analyzers. Data were mathematically processed to standardize spectra across instruments before applying the models. All the spectra were interpolated to have a common x-axis by equally spacing the 2048 pixels across 60 to 3250 cm-1 Raman shift, followed by relative y-axis standardization using the SRM fluorescence data as described in the NIST standardization protocol.² Figure&nbsp;3 shows the correlation plot of predicted versus reference values for L-histidine, L-arginine, and sucrose for the validation samples. A correlation coefficient of over 95% and a root means square error (RMSE) of less than 5% of the reference value for calibration, cross-validation, and prediction across three instruments demonstrate the reliability of process Raman to accurately predict the concentrations of these excipients, as well as easy model transferability.</p><h4><strong>Conclusion</strong></h4><p>This work, combined with our previous demonstrations of accurate in-line protein quantification during UF/DF processes,⁷, ⁸ clearly highlights the value of process Raman for downstream process monitoring. Raman spectroscopy allows for the simultaneous measurement of multiple critical process parameters (CPPs) with a single scan. These findings establish process Raman as a PAT tool with unparalleled benefits compared to other analytical methods.&nbsp;</p><p>Simultaneous measurement of protein and excipient concentrations not only allows tighter process control but also opens opportunities for automating downstream processing.&nbsp;</p><p>The ability of process Raman to provide real-time insights into buffer quality before its use in UF/DF runs offers substantial value by preventing batch failures. This capability enhances quality control, making Raman spectroscopy an essential tool for integration as an in-line sensor to improve downstream process monitoring, control, and automation.</p>

News from LabRulezICPMS Library - Week 38, 2026

Article

Product

Application

Scientific article

Science and research

Software

Poster

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

For over 200 years we have been helping people and organizations develop the skills and knowledge they need to succeed.
We develop digital education, learning, assessment, and certification solutions to help universities, businesses, and individuals move between education and employment and achieve their ambitions.

Wiley

Thermo Scientific™ iCAP™ RQ ICP-MS

Compact, robust SQ-ICP-MS for high-throughput labs. Offers excellent interference removal, low detection limits, and intuitive automation across diverse sample matrices.

<p><strong>Robust single-quadrupole ICP-MS for high-throughput laboratories</strong></p><p><strong>The iCAP RQ ICP-MS is a compact, high-performance inductively coupled plasma mass spectrometer that combines robustness, ease of use, and exceptional analytical capabilities for routine laboratories. With intuitive workflows, minimized maintenance, and advanced interference removal technology, it delivers confident multi-element analysis across a wide range of challenging matrices.</strong></p><h3><strong>Key Features and Benefits</strong></h3><h4>⚙️ <strong>Robust Hardware Design</strong></h4><ul><li>Tolerates high-matrix samples (e.g., seawater, organic solvents)</li><li>Reliable plasma performance even with 100% acetonitrile</li><li>Advanced thermal management for long-term mass stability</li><li>Solid-state RF generator and durable electronics</li></ul><h4>🚀 <strong>High Productivity</strong></h4><ul><li>‘Get Ready’ one-click setup automates startup</li><li>Cone replacement in as little as 60 seconds</li><li>Quick-connect sample introduction components</li><li>Supports 24/7 operation with minimal downtime</li></ul><h4>🎯 <strong>Exceptional Analytical Accuracy</strong></h4><ul><li>Single quadrupole with He KED and QCell LMCO for interference removal</li><li>Detects elements like Li and Be at sub-ppt levels</li><li>Flexible interfaces for robust, matrix-tolerant, or high-sensitivity needs</li><li>High ion transmission with low background</li></ul><h4>🧠 <strong>Smart Software – Qtegra ISDS</strong></h4><ul><li>Streamlined method development with visual interface</li><li>Compliance-ready with 21 CFR Part 11 features</li><li>Integrated QA/QC protocols reduce re-runs</li><li>Autosampler and valve compatibility, LIMS support, custom reporting</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Pragolab_Thermo_Scientific_ICP_MS_i_CAP_RQ_Hmotnostni_spektrometr_s_indukcne_vazanym_plazmatem_4f1c97ac70.jpg" alt="Thermo Scientific™ iCAP™ RQ ICP-MS" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Pragolab_Thermo_Scientific_ICP_MS_i_CAP_RQ_Hmotnostni_spektrometr_s_indukcne_vazanym_plazmatem_4f1c97ac70.jpg 160w," sizes="100vw" width="782" height="764"></p><h3><strong>Advanced Workflow Capabilities</strong></h3><ul><li><strong>Argon Gas Dilution (AGD)</strong>: Direct high-matrix sample analysis</li><li><strong>Autodilution</strong>: Intelligent calibration and automated sample prep</li><li><strong>Speciation</strong>: Full IC, LC, and GC integration via ChromControl plug-in</li><li><strong>Laser ablation</strong>: Supports depth/spatial solid sample profiling</li><li><strong>Single particle analysis</strong>: Accurate spICP-MS using npQuant module</li></ul><h3><strong>Application Areas</strong></h3><ul><li><strong>Environmental</strong>: Drinking water, wastewater, soils (e.g., EPA 200.8)</li><li><strong>Pharmaceutical</strong>: Elemental impurities (ICH Q3D, USP 232/233)</li><li><strong>Food safety</strong>: Simultaneous toxic/essential element screening</li><li><strong>Clinical research</strong>: Trace-level element detection in complex matrices</li><li><strong>Geosciences</strong>: Rock digests, lithium borate fusions</li><li><strong>Industry &amp; materials</strong>: Alloys, advanced materials, nuclear isotopic ratios</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Pragolab_Thermo_Scientific_ICP_MS_i_CAP_RQ_Hmotnostni_spektrometr_s_indukcne_vazanym_plazmatem_2_4c27c3a2d0.jpg" alt="Thermo Scientific™ iCAP™ RQ ICP-MS" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Pragolab_Thermo_Scientific_ICP_MS_i_CAP_RQ_Hmotnostni_spektrometr_s_indukcne_vazanym_plazmatem_2_4c27c3a2d0.jpg 245w," sizes="100vw" width="2291" height="1391"></p>

Thermo Scientific™ ARL™ iSpark™ Optical Emission Spectrometers

High-performance spark OES system for elemental and inclusion analysis in metals. Offers fast, precise results with advanced optics, signal processing, and automation readiness.

<h4><strong>High-performance spark OES platform for advanced elemental and inclusion analysis in metals</strong></h4><p><strong>The ARL iSpark series is a powerful platform of optical emission spectrometers designed for fast, precise, and flexible analysis of metallic samples across the iron and steel, non-ferrous, and precious metals industries. Based on the renowned ARL PMT optical technology and equipped with state-of-the-art spark source and signal processing, the ARL iSpark offers unmatched analytical capability, long-term stability, and ease of use in routine and advanced OES workflows.</strong></p><h3><strong>Key Features and Benefits</strong></h3><h4>🔬 <strong>Advanced PMT Optics</strong></h4><ul><li>Legendary one-meter focal length Paschen-Runge mount</li><li>High dispersion and resolution in a compact, sealed vacuum body</li><li>Direct optical path ensures maximum sensitivity</li><li>Superior performance in multi-base and trace-level analysis</li></ul><h4>⚡ <strong>Innovative Spark Source – IntelliSource™</strong></h4><ul><li>Controlled discharge shaping for optimal ablation and excitation</li><li>Flexible dual current control (CCS) for all metallic matrices</li><li>DISC™ (Discharge Interrupt by Short-Circuit) improves trace repeatability</li></ul><h4>🧠 <strong>Superior Signal Acquisition</strong></h4><ul><li>Time Gated Acquisition (TGA) for ultra-precise measurement</li><li>Single Spark Acquisition (SSA) for better signal stability</li><li>DISIRE algorithm for improved precision by removing diffuse signals</li><li>FAST algorithm for selecting only optimal single spark data</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Pragolab_Thermo_Scientific_ARL_i_Spark_OES_spektrometr_5_606072e779.jpg" alt="Thermo Scientific™ ARL™ iSpark™ Optical Emission Spectrometers" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Pragolab_Thermo_Scientific_ARL_i_Spark_OES_spektrometr_5_606072e779.jpg 202w," sizes="100vw" width="1101" height="851"></p><h3><strong>Micro-Inclusion Analysis with Spark-DAT™</strong></h3><ul><li>Rapid inclusion characterization during routine OES</li><li>Simultaneous elemental and inclusion analysis (e.g. Al₂O₃, MnS, TiB₂)</li><li>No need for surface polishing or special sample prep</li><li>Standard and advanced modes for inclusion size, type, and oxygen content</li></ul><h3><strong>User-Friendly Design</strong></h3><ul><li>Compact, front-access design allows wall or corner installation</li><li>Quick table changeover without tools</li><li>Air-cooled spark stand with reduced argon consumption</li><li>Smart Argon Management (SAM) with ECOmode and argon-saving presets</li></ul><h3><strong>OXSAS Software Suite</strong></h3><ul><li>Comprehensive instrument control, calibration, and diagnostics</li><li>Flexible user access levels and full traceability</li><li>Maintenance management and quality tools</li><li>Seamless integration with automation and SMS sample handling</li></ul><h3><strong>Applications</strong></h3><ul><li><strong>Ferrous and non-ferrous metals</strong>: steel, copper, aluminum, nickel, titanium</li><li><strong>Precious metals</strong> and specialty alloys</li><li><strong>Inclusion analysis</strong>: cleanness control in steel/aluminum</li><li><strong>QA/QC</strong>, production control, and R&amp;D in metallurgy and foundries</li><li>Compatible with <strong>manual or fully automated workflows</strong></li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Pragolab_Thermo_Scientific_ARL_i_Spark_OES_spektrometr_6_fa6dd82e9f.jpg" alt="Thermo Scientific™ ARL™ iSpark™ Optical Emission Spectrometers" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Pragolab_Thermo_Scientific_ARL_i_Spark_OES_spektrometr_6_fa6dd82e9f.jpg 198w," sizes="100vw" width="938" height="738"></p>

Thermo Scientific Nicolet iS 10 FTIR Spectrometer

Nicolet iS10 FTIR spectrometer for mid-IR analysis with high resolution, DTGS detector, sealed optics, and broad accessory compatibility.

<p>The <strong>Thermo Scientific Nicolet™ iS™ 10 FTIR Spectrometer</strong> is a <strong>high-performance infrared spectrometer</strong> designed for <strong>routine and advanced analytical applications</strong> in <strong>QA/QC, pharmaceuticals, polymers, forensics, and petrochemical analysis</strong>.</p><p>The system is optimized for the <strong>mid-infrared (mid-IR) region</strong>, utilizing a <strong>KBr/Ge beamsplitter</strong>, with optional <strong>XT-KBr/Ge extended range optics</strong>. It is equipped with a <strong>fast recovery DTGS detector</strong>, providing <strong>high sensitivity and stability without the need for liquid nitrogen cooling</strong>.</p><p>A <strong>sealed optical bench</strong> ensures resistance to ambient humidity, supporting reliable long-term operation. The <strong>modular design</strong> allows integration with a wide range of accessories including <strong>SMART accessories, microscopes, and TGA-IR systems</strong>.</p><h4><span><strong>Key Features</strong></span></h4><ul><li>FTIR spectrometer optimized for mid-IR analysis</li><li>Spectral range up to 11,000–350 cm⁻¹ (XT optics)</li><li>High resolution &lt; 0.4 cm⁻¹</li><li>DTGS detector (no liquid nitrogen required)</li><li>KBr/Ge beamsplitter (standard)</li><li>Sealed optics for humidity resistance</li><li>Dual source (Ever-Glo + tungsten/halogen)</li><li>Compatibility with wide accessory range (SMART, microscopy, TGA-IR)</li><li>USB connectivity</li><li>ASTM E1421 compliant (ISO/GLP)</li></ul><h3><span><strong>Technical Specifications</strong></span></h3><h4><span><strong>Optics and Performance</strong></span></h4><ul><li><strong>Spectral range:</strong><ul><li>7800–350 cm⁻¹ (standard KBr)</li><li>11,000–375 cm⁻¹ (XT-KBr extended range)</li></ul></li><li><strong>Spectral resolution:</strong> &lt; 0.4 cm⁻¹</li><li><strong>Laser:</strong> HeNe</li><li><strong>Beamsplitter:</strong><ul><li>KBr/Ge (standard)</li><li>XT-KBr/Ge (optional)</li></ul></li></ul><h4><span><strong>Detection and Sources</strong></span></h4><ul><li><strong>Detector:</strong><ul><li>DTGS (standard)</li><li>MCT (optional, LN₂ cooled)</li></ul></li><li><strong>Source:</strong><ul><li>Mid-IR Ever-Glo</li><li>Tungsten/halogen</li></ul></li></ul><h4><span><strong>Construction and Compatibility</strong></span></h4><ul><li><strong>Optical system:</strong> sealed</li><li><strong>Compatible with:</strong><ul><li>SMART Accessories</li><li>Continuum microscope</li><li>TGA-IR</li><li>Photoacoustic modules</li><li>standard FTIR accessories</li></ul></li></ul><h4><span><strong>Interface</strong></span></h4><ul><li>USB 2.0</li></ul><h4><span><strong>Dimensions and Weight</strong></span></h4><ul><li>Width: 570 mm</li><li>Height: 250 mm</li><li>Depth: 550 mm</li><li>Weight: 33 kg</li></ul><h4><span><strong>Validation</strong></span></h4><ul><li>ASTM E1421</li><li>ISO / GLP compliance</li></ul>

Thermo Scientific Nicolet iS50 FTIR Spectrometer

The Nicolet iS50 FTIR spectrometer provides a modular platform for ATR, Raman, NIR, and GC-IR analysis with automation and a wide spectral range.

<p><strong>The Thermo Scientific™ Nicolet™ iS50 is a highly flexible FTIR spectrometer designed as a comprehensive materials analysis platform. It enables a wide range of measurements within a single system—from routine material identification to advanced multi-technique analysis.</strong></p><p>Its modular architecture allows seamless expansion with <strong>Raman, NIR, or GC-IR modules</strong>, enabling multiple analytical techniques without reconfiguring the instrument. The<strong> Automated Beamsplitter Exchanger</strong> (ABX) enables switching between spectral ranges without manual intervention or disruption of optics or purge conditions.</p><p>The system supports fully automated workflows through<strong> Touch Point</strong> operation, allowing setup, data collection, and reporting with a single click. An <strong>optional built-in diamond ATR module</strong> enables immediate measurement without sample preparation while keeping the main sample compartment available for other analyses.</p><p>The Nicolet iS50 is ideal for <strong>pharmaceuticals, forensics, polymers, food analysis, and general laboratories</strong> where speed, reproducibility, and analytical flexibility are essential.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Nicolet_i_S50_FTIR_Spectrometer_3_43e1a1a943.jpg" alt="Thermo Scientific Nicolet iS50 FTIR Spectrometer " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Nicolet_i_S50_FTIR_Spectrometer_3_43e1a1a943.jpg 173w," sizes="100vw" width="488" height="440"></p><h3><strong>Key Features</strong></h3><ul><li>Automated Beamsplitter Exchanger (ABX)</li><li><strong>Modular system: </strong>Raman, NIR, GC-IR</li><li><strong>Built-in diamond ATR </strong>for instant, no-prep analysis</li><li><strong>Automated workflows </strong>(Touch Points)</li><li><strong>Wide spectral range</strong> (FIR–VIS)</li><li>Up to <strong>9 user-selectable detectors</strong></li><li><strong>Multi-technique integration</strong> in a single workflow</li><li>Compatibility with SMART accessories</li></ul><h3><strong>Technical Specifications</strong></h3><ul><li><strong>Spectral range: </strong>15 – 27,000 cm⁻¹</li><li><strong>Resolution:</strong> better than 0.09 cm⁻¹</li><li><strong>Source: </strong>Polaris™ IR + tungsten-halogen source</li><li><strong>Laser: </strong>HeNe</li><li><strong>Detectors: </strong>up to 9 selectable</li><li><strong>Interface:</strong> USB 2.0</li><li><strong>Power: </strong>100/240 V, 50/60 Hz</li><li><strong>Dimensions (W × D × H): </strong>62.6 × 69.8 × 27.6 cm</li><li><strong>Weight: </strong>60 kg</li><li><strong>Validation: </strong>ASTM E1421, ISO/GLP compliant</li></ul>

Thermo Scientific Nicolet iG50 FTIR Spectrometer

The Thermo Scientific Nicolet iG50 is a rugged FTIR spectrometer for process analysis and OEM integration, delivering high analytical performance, flexible configuration, and long-term reliability.

<p><strong>The Thermo Scientific™ Nicolet™ iG50 FTIR Spectrometer combines the analytical performance of a research-grade FTIR system with the robustness required for industrial environments. Designed for process monitoring, OEM integration, and demanding analytical applications, it offers a compact, configurable platform that can be easily integrated into manufacturing and process control systems.</strong></p><p>The modular design supports a variety of optical components, detectors, and sampling interfaces, allowing the system to be tailored to specific application requirements. Its rack-mountable construction, stainless-steel enclosure, and built-in diagnostic capabilities make it suitable for continuous operation in industrial settings while maintaining excellent analytical performance.</p><p>The Nicolet iG50 provides high spectral resolution, excellent signal-to-noise performance, and rapid scan speeds for the characterization of complex gas mixtures and fast transient events. Dynamic optical alignment, automated performance verification, and user-replaceable components help maximize uptime and minimize maintenance requirements.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_5e9eae31bd.jpg" alt="Thermo Scientific Nicolet iG50 FTIR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_5e9eae31bd.jpg 245w," sizes="100vw" width="650" height="384"></p><h3><strong>Key Features</strong></h3><ul><li>Research-grade FTIR performance in a rugged industrial platform</li><li>Compact, rack-mountable design for OEM and process integration</li><li>High spectral resolution for resolving complex gas spectra</li><li>Excellent signal-to-noise ratio for low-level detection</li><li>Rapid scanning capabilities for monitoring transient processes</li><li>Support for dual-detector configurations</li><li>Dynamic optical alignment for enhanced long-term stability</li><li>Built-in diagnostics and automated performance verification</li><li>Continuous on-board hardware monitoring</li><li>User-replaceable source, laser, detector, power supply, and electronics modules</li><li>Configurable front or side beam output options</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2456"><strong>Thermo Scientific™ OMNIC™ Software</strong></a> included</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_2_cf807ab135.jpg" alt="Thermo Scientific Nicolet iG50 FTIR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_2_cf807ab135.jpg 245w," sizes="100vw" width="650" height="414"></p><h3><strong>Applications</strong></h3><ul><li>Process gas analysis</li><li>Process liquid monitoring</li><li>Volatile organic compound (VOC) analysis</li><li>Continuous emissions monitoring (CEM)</li><li>Chemical process monitoring</li><li>At-line film analysis</li><li>Quality control laboratories</li><li>Polymer and plastics analysis</li><li>Pharmaceutical testing</li><li>Forensic analysis</li><li>Gemstone and materials analysis</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_3_408ce44c58.jpg" alt="Thermo Scientific Nicolet iG50 FTIR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_3_408ce44c58.jpg 230w," sizes="100vw" width="650" height="440"></p><h3><strong>Technical Specifications</strong></h3><ul><li><strong>Spectral range:</strong> 7800–350 cm⁻¹ (KBr beamsplitter), 6000–650 cm⁻¹ (ZnSe beamsplitter)</li><li><strong>Spectral resolution:</strong> 0.5 cm⁻¹</li><li><strong>Beam splitter options:</strong> Ge/KBr or ZnSe</li><li><strong>Detector options: </strong>TE-cooled DLaTGS detectors</li><li><strong>Source: </strong>Polaris™ high-stability, long-life IR source</li><li><strong>Wavenumber precision:</strong> Better than 0.01 cm⁻¹</li><li><strong>Interferometer:</strong> 90° Michelson dynamically aligned interferometer</li><li><strong>A/D converter: </strong>24-bit</li><li><strong>Interface:</strong> USB 2.0</li><li><strong>Power requirements: </strong>100/240 V, 50 Hz, 2.5 A</li><li><strong>Dimensions (W × D × H):</strong> 45 × 42 × 25 cm</li><li><strong>Weight:</strong> 29 kg</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_4_c12c2404eb.jpg" alt="Thermo Scientific Nicolet iG50 FTIR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_4_c12c2404eb.jpg 170w," sizes="100vw" width="650" height="596"></p><h3><strong>Standard Features</strong></h3><ul><li>90° Michelson dynamically aligned interferometer</li><li>Polaris™ high-stability, long-lifetime mid-IR source</li><li>1.5 in (38 mm) collimated front output beam</li><li>Continuously variable iris aperture</li><li>Aluminum-coated mirrors</li><li>Validation/attenuation wheel</li><li>24-bit A/D converter</li><li>Helium-Neon (HeNe) reference laser</li><li>Configurable front or side beam output</li><li>Automated performance verification testing</li><li>Continuous hardware status monitoring</li><li>Thermo Scientific™ OMNIC™ Software included</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_5_60744d1e06.jpg" alt="Thermo Scientific Nicolet iG50 FTIR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Nicolet_i_G50_FTIR_Spectrometer_5_60744d1e06.jpg 244w," sizes="100vw" width="650" height="416"></p>

Related content

News from LabRulezICPMS Library - Week 38, 2026

Wiley Launches Its First Spectral Analysis API Portfolio

Comparing loss-on-ignition, acid decarbonation and combustion elemental analysis for measuring organic carbon concentrations – recommendations for best practice