<h3>Introduction</h3>MOSH and MOAH analysis remains one of the most challenging and closely scrutinized areas in food and packaging safety testing. With evolving regulations, updated standards such as ISO 20122:2024, and increasing expectations for data quality and throughput, laboratories are under constant pressure to deliver accurate, reproducible, and compliant results.To help laboratories navigate this complexity, Thermo Fisher Scientific and SampleQ hosted an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5817">Ask the Experts</a> session focused entirely on MOSH/MOAH analysis using LC-GC-FID and GC×GC-FID/MS workflows. Analytical specialists addressed real-world questions from scientists and lab managers—covering sample preparation, quality control, internal standards, data processing, and system selection.This blog brings together the most important expert insights and practical guidance from that session, providing a valuable reference for anyone responsible for MOSH/MOAH testing.<h3>Why MOSH/MOAH analysis is so challenging</h3>Mineral Oil Saturated Hydrocarbons (MOSH) and Mineral Oil Aromatic Hydrocarbons (MOAH) are complex mixtures rather than single compounds. Their broad carbon number distribution, co-elution with natural matrix components, and sensitivity to sample preparation steps make analysis technically demanding.At the same time, regulatory scrutiny continues to increase, particularly for MOAH due to potential carcinogenicity. Laboratories must therefore balance:<ul><li>Regulatory compliance</li><li>Robust quantification</li><li>Reliable identification of markers</li><li>High sample throughput</li></ul>The Ask the Experts session focused on how modern, integrated workflows can help labs meet all these demands.<h3>Are MOSH/MOAH sample preparation steps matrix dependent?</h3>One of the most common questions from laboratories is whether MOSH/MOAH sample preparation can be standardized across all matrices.The expert answer: it depends on the matrix—and validation is essential.For fats and oils, certain steps are always required:<ul><li>Saponification</li><li>Epoxidation</li></ul>However, alumina (Alox) clean-up is matrix dependent. Practical comparisons show that:<ul><li>Some matrices benefit from Alox clean-up</li><li>Others may suffer from analyte loss if Alox is applied unnecessarily</li></ul>For non-fat matrices, sample preparation must be carefully selected, and method validation is critical to ensure accuracy and recovery.Key takeaway: There is no universal sample prep recipe for MOSH/MOAH. Laboratories must adapt workflows to their matrices while staying aligned with ISO 20122 guidance.<h3>Managing multiple sample prep options in a busy lab</h3>Many labs analyze a wide variety of matrices daily. Running different sample prep workflows manually can be time-consuming and error-prone.Experts highlighted how software-driven workflows help solve this challenge:<ul><li>Multiple sample prep methods can run in the same sequence</li><li>Optional steps (such as Alox clean-up) can be toggled per sample</li><li>Overlapping methods maximize instrument utilization</li><li>Analysts only need to weigh samples and load reagents—automation handles the rest</li></ul>E-workflows simplify method selection and ensure the correct prep is applied every time, reducing training requirements and minimizing human error.For lab managers, this translates into:<ul><li>Higher throughput</li><li>More consistent results</li><li>Less hands-on time for skilled analysts</li></ul><h3>Which internal standard is best for MOAH quantification?</h3>Internal standard selection is critical for reliable MOAH quantification. The experts addressed this directly, referencing extensive comparative studies.Three candidates were evaluated:<ul><li>1-Methylnaphthalene (1-MN)</li><li>2-Methylnaphthalene (2-MN)</li><li>Tert-butylbenzene (TBB)</li></ul>Based on repeatability, reproducibility, recovery, and accuracy, TBB emerged as the clear winner and is now specified in ISO 20122.<h3>Why TBB?</h3><ul><li>More stable behavior across sample prep steps</li><li>Better overall performance in routine analysis</li><li>Improved consistency between laboratories</li></ul>For labs updating or validating MOSH/MOAH methods, aligning internal standards with ISO recommendations is strongly advised.<h3>How should ISO criteria for internal standard recovery be interpreted?</h3>A frequent point of confusion is how to interpret internal standard recovery limits defined in ISO methods.The experts clarified an important distinction:<ul><li>Recovery criteria apply to direct injections of internal standards</li><li>All components should fall within 90–110% of the quantification standard</li><li>Perylene is allowed a slightly broader range (80–100%)</li></ul>In real samples, internal standard recoveries can vary due to legitimate chemical effects:<ul><li>Epoxidation may reduce perylene</li><li>Alox clean-up can reduce cholestane</li><li>Saponification may affect methylnaphthalenes</li><li>Some hydrocarbons may be naturally present in the matrix</li></ul>Bottom line: Deviations in sample recoveries do not automatically indicate method failure. Understanding the chemistry behind each step is key to correct interpretation.<h3>Do you still need LC-GC-FID if you have GC×GC-MS?</h3>As GC×GC-MS becomes more accessible, many labs ask whether it can replace LC-GC-FID entirely.According to current EURL guidance:<ul><li>GC×GC is primarily intended for identification, not quantification</li><li>Quantification using GC×GC-FID is technically possible but not yet recommended</li><li>LC-GC-FID remains the reference technique for MOSH/MOAH quantification</li></ul>GC×GC-MS plays a complementary role by:<ul><li>Confirming the presence of aromatic markers and MOSH markers like hopanes, steranes and particular naphthenes</li><li>Differentiating mineral oil components from biogenic interferences</li><li>Supporting risk assessment and regulatory discussions</li></ul>For now, the most robust approach is a combined workflow:<ul><li>LC-GC-FID for quantification</li><li>GC×GC-FID/MS for confirmation and identification</li></ul><h3>Using specific ion masses for marker identification in GC×GC</h3>GC×GC-MS offers powerful identification capabilities when used correctly.Experts highlighted that:<ul><li>The EURL provides recommended ion masses for key MOAH subgroups</li><li>Selective ion chromatograms (SICs) can be generated for markers such as:<ul><li>Naphthalenes</li><li>Hopanes</li><li>Steranes</li><li>DIPNs</li></ul></li></ul>Using multiple SIC views alongside total ion chromatograms (TICs) allows:<ul><li>Faster confirmation of markers</li><li>Clear differentiation from interferences</li><li>More confident reporting of MOAH presence</li></ul>This approach significantly improves interpretability compared to relying on TICs alone.<h3>How is GC×GC-MS data processed efficiently?</h3>One concern with GC×GC-MS is the perceived complexity of data handling.The experts demonstrated a streamlined workflow:<ul><li>Instrument control and acquisition remain in <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/76">Chromeleon S/W</a></li><li>Raw data are automatically exported for GC×GC processing</li><li>Templates are applied to identify known marker regions</li><li>Results are organized by vial, run, and detector channel</li></ul>This structured approach ensures:<ul><li>Consistent marker identification</li><li>Reduced manual data handling</li><li>Faster reporting despite large data volumes</li></ul>For labs new to GC×GC, standardized templates and automated processing significantly reduce the learning curve.<h3>Comparing FID and MS chromatograms: why it matters</h3>Accurate comparison between FID and MS data is critical when combining quantification and identification.Thanks to synchronized acquisition:<ul><li>FID and MS chromatograms are recorded simultaneously</li><li>First-dimension retention times are identical</li><li>Second-dimension alignment is highly accurate</li></ul>This enables:<ul><li>Direct correlation of quantified FID regions with identified MS markers</li><li>Greater confidence in results</li><li>Stronger defensibility during audits and regulatory review</li></ul><h3>Why use a single quadrupole MS instead of TOF-MS?</h3>Time-of-flight MS is often associated with GC×GC due to its high scan speed. However, experts explained why <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products?category=19&amp;manufacturerItems=3">single quadrupole MS </a>can be a practical alternative.By optimizing scan speed:<ul><li>Single quadrupole MS can capture sufficient data points</li><li>Complexity and cost are reduced</li><li>Compliance with EURL guidance is maintained</li></ul>For many routine MOSH/MOAH applications, this offers an excellent balance between performance and operational efficiency.<h3>Is offline sample preparation better for GC×GC?</h3>There is no universal answer—workflow design depends on laboratory needs.Integrated systems offer:<ul><li>Minimal user intervention</li><li>Reduced risk of contamination</li><li>Streamlined operation</li></ul>Separate systems allow:<ul><li>Parallel operation</li><li>Higher overall throughput in some labs</li></ul>The best choice depends on sample volume, staffing, and analytical priorities.<h3>Final thoughts: Building a future-proof MOSH/MOAH workflow</h3>MOSH/MOAH analysis is evolving rapidly, but some principles remain constant:<ul><li>Robust quantification still relies on LC-GC-FID</li><li>GC×GC-FID/MS adds critical confirmation power</li><li>Automation and software workflows reduce complexity</li><li>Alignment with ISO and EURL guidance ensures defensibility</li></ul>By combining expert knowledge with integrated technology, laboratories can confidently meet today’s regulatory requirements—while preparing for what comes next.If you’re looking to optimize or future-proof your MOSH/MOAH analysis, the insights from this Ask the Experts session provide a strong foundation for success.<ul><li>Watch the free webinar on demand: <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5817">Talk to an expert about our barrier-free analysis of MOSH/MOAH</a></li><li>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#automation #MOSH/MOAH</li></ul><blockquote><h4>Petra Gerhards</h4>Petra Gerhards, Dipl-Ing, is Regional Marketing Manager of GC and GC-MS for EMEA at Thermo Fisher Scientific. She has more than 29 years of experience in the fields of GC-MS, SPE and LC-MS. Since joining the regional team she has contributed to workflow solutions combining vials and closures with SPE solutions, GC-MS and LC-MS. She works with KOL's on data for regional specific marketing campaigns, organizes in-house seminars and works on customer specific solutions. Her main expertise is in the field of doping and drugs-of-abuse analysis.</blockquote>

Ask the Experts: Practical Answers to Today’s Biggest MOSH/MOAH Analysis Questions

🎤 Presenter: James Harynuk (University of Alberta)💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_6_Harynuk_f005bdafaf.pdf">PDF presentation</a><h3>Abstract</h3><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=3-2">GC×GC- MS</a> shines when doing non-target analysis, and is an incredibly important tool for studying human health, human exposures to exogenous compounds, and transformations of compounds released into the environment. The enhanced separation and expanded separation space permits us to deliver very pure peaks to the mass spectrometer, free from many coelutions and also free from bleed from the primary column. This pure peak then results in a much cleaner, high quality mass spectrum, regardless of the mass spectrometer used. If a high resolution mass spectrometer is used, we then know the exact mass (and thus elemental composition) of every ion in the spectrum.&nbsp;This is a truly important tool for studying these problems. The inspiration for this work lies in the problem of what to do with unknown unknowns – those compounds not in any library? We have been exploring new, simple ways to improve the consistency in our reporting of compounds in non-target analyses. Using a combination of a user library and relatively simple tools, we can ensure that we always recognize the same compounds across various samples and sample types, even if we do not know exactly what the compound is. This should improve the quality of downstream data analysis, and potentially help standardize some of the tools used in GC×GC-MS data processing.<h3>Video Transcription</h3>Today I want to talk about some of the ideas we’ve been exploring to improve our data quality. The theme is a bit unusual: down is the new up — in other words, simplifying some parts of the workflow can actually move us forward.My lab has been using two-dimensional GC–MS for quite a while across a wide range of applications. This technique is especially useful for complex samples such as petroleum, environmental samples, omics studies, foods, flavors, and similar matrices. In these kinds of samples, the questions are often straightforward but difficult to answer analytically: are there any harmful compounds present, any regulated compounds, or any compounds that indicate exposure or are otherwise important?GC×GC–MS is such a powerful tool for these challenges because it provides an expanded separation space. That gives us several major benefits. First, we obtain cleaner, purer peaks going into the mass spectrometer, which leads to higher-quality mass spectra than we would get from one-dimensional GC. That in turn improves compound identification. If you combine this with high-resolution MS, the possibilities become even stronger.We also benefit from better sensitivity, although that is not my main focus today. Another very important feature is that GC×GC produces interpretable retention patterns. With enough knowledge and experience, you can often look at the position of peaks relative to each other and immediately infer a lot about the sample. An experienced analyst can read a chromatogram almost like reading a newspaper.The challenge, however, is an old one. We may have hundreds or thousands of peaks per sample, and often hundreds or even thousands of samples in a project. We rarely have enough standards, and even if we did, analyzing them all would take far too much time. We therefore need a coherent, aligned peak table or feature list, and we need consistent peak identification across all samples.What I mean by consistency is simple: if compound X appears in one sample, it should always be labeled as compound X, and nothing else should be labeled that way. If compound X appears in another sample, it should receive the same name again. If it is absent from a sample, no unrelated compound should mistakenly get that label. That is what we need for meaningful downstream analysis.The question is: how do we achieve this quickly and reliably, without spending endless hours manually curating peak tables?The data I’m showing comes from two projects. One is an Arctic oil transport and environmental fate project, where we are looking at spilled oils and marine fuels as Arctic shipping increases. The second involves plant volatiles from peas, studying how water, nitrogen, and other conditions affect pea growth and the VOCs they produce.If we look at the basic workflow many people still use, it is something like this: run the samples, perform peak finding for each sample, run library searches, and then generate a peak table. But very quickly, problems appear. What do we do with peaks near the signal-to-noise cutoff? What about peaks with poor library matches? And how do we reconcile all the different peak tables across many samples?A lot of groups are developing custom solutions, and some of these are now appearing in commercial software. But one thing I wanted for my students — most of whom do not want to code — was a workflow that uses the tools already available in the software, without requiring special scripts from scratch.The workflow we’ve increasingly adopted relies on retention indices and the IGS peak identification grading system available in the LECO high-resolution workflow. The idea is simple: along with our samples, we run an n-alkane standard to calibrate the retention index method. That allows us to calculate experimental retention indices for all peaks. We can then filter library hits using retention index agreement, and further filter the results by retaining only peaks with good IGS scores, for example scores of 3 or better.This approach dramatically improves the quality of the peak table. In one pea sample, for example, a standard workflow gave us around 800 peaks, many of which had poor library matches or no useful retention index information. After applying retention index filtering and IGS scoring, that was reduced to 146 peaks that we could be reasonably confident about. The process is automated and straightforward.This also reveals one of the main issues in complex mixtures: isomers. For example, in a petroleum sample, several alkylbenzenes may all receive slightly different names across different samples, despite being the same underlying feature. This creates a major problem when trying to align peak tables. You may see the same compound identified as 1,2,3-trimethylbenzene in one sample, 1,2,4-trimethylbenzene in another, and something else in a third.The retention index plus IGS strategy already helps a lot, but it still struggles with some isomeric cases and does not solve everything. In particular, it doesn’t address what I call unknown knowns: peaks that we see repeatedly, expect to be present, but still cannot identify definitively.To deal with this, we began building a custom mass spectral library, including spectra of standards, local retention index values, and these unknown but recurring peaks. If a compound is well-behaved chromatographically, has a good signal-to-noise ratio, appears in multiple technical replicates or samples, and has a reproducible retention index, we add it to the library. Even if we do not know exactly what it is, we can still assign it a unique code and track it consistently.That is important. A peak does not need to have a final chemical identity to be useful. If it shows up every time, we can give it a placeholder name and ensure it is always recognized consistently. If it becomes important later, we can return to it and identify it properly.Once we started using our own custom library with locally measured retention indices, things improved significantly. We obtained more confident high-quality identifications, more peaks with reliable retention index data, and much smaller retention index errors. More importantly, it became very easy to identify the problem peaks — the few peaks that still needed correction because they were likely isomers or misassigned features.By inspecting retention index deviations, we could quickly spot where the software had assigned the wrong identity. Instead of manually reviewing everything, we could focus only on the handful of peaks that truly required attention. Correcting those few peaks made the retention index agreement even tighter.Another major advantage of the custom library is that it improves consistency across samples. Peaks that previously received random names or numeric codes from the general NIST search now receive the same identity in every sample, making alignment and downstream chemometric analysis far easier.So, the main message is this: build your own MS library, include retention index data collected on your own system, and search that first. That allows you to apply a much tighter retention index window and improves confidence in isomer assignments. Also, add your recurring unknown peaks — call them whatever you want, even “Bob” if necessary — so they can be recognized consistently across your dataset.Apply IGS filtering when possible. If you are not using the same high-resolution workflow, you can still implement similar logic in other software or with simple scripts. The result is better peak tables in less time, more reliable chemometric analysis, and much less manual data curation.And one final point: learning a bit of Excel automation or simple coding is extremely helpful. It can save a great deal of time when working through these data-heavy workflows.With that, I’d like to thank LECO for their support with instrumentation and software, our major funders, and the students in the lab working on the Arctic oil and plant volatile projects.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote>

Leveraging Local Libraries for Positively Parsimonious Peak Tables (James Harynuk, MDCW 2026)

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 16th March 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you posters by Agilent Technologies / ASMS and MDCW / William &amp; Mary, application note by Shimadzu and other document by Thermo Fisher Scientific!<h3>1. Agilent Technologies / ASMS: Analysis of Extractables and Leachables in Catheters Using Accurate Mass Libraries and High-Resolution GC/MS and LC/MS</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/ps_7250_revident_extractables_leachables_asms_2025_tp_317_en_agilent_e6d3b2e923.pdf">Full PDF for download</a></li></ul>Materials used in the production of medical devices contain substances that have the potential to leach from the devices. Extractables and leachables (E&amp;L) represent a range of structurally diverse compounds including antioxidants, UV absorbers, dyes, catalysts, plasticizers and polymer degradation products. Therefore, both liquid and gas chromatography techniques coupled with mass spectrometry detectors (LC/MS and GC/MS) are utilized to achieve a comprehensive chemical characterization. Application-specific accurate mass libraries combined with an efficient screening workflow, helps to increase confidence in compound identification that saves time on reviewing data while focused on E/L relevant compounds. In this study, we analyzed catheters extracts using high-resolution MS and performed data analysis using accurate mass libraries.<h4>Experimental</h4>Catheters from three suppliers were used in this study. Catheter A was made from PVC, and did not include DEHP, DINP, BPA or natural rubber latex. Catheter B was made with natural rubber latex base and silicone elastomer coating, and there was no claim to be phthalate or BPA free. Catheter C was a silicone-coated latex catheter made with natural rubber latex base and no DEHP or BPA. E&amp;L standards were obtained from AChemTek. Catheters were extracted with ethanol:water 1:1 solvent at 37 ˚C for 24 and 48 hours as well as 7 days and analyzed using GC/Q-TOF and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=Revident+LC%2FQ-TOF">LC/Q-TOF systems</a>. The GC/MS analysis was performed using the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890+GC">8890 GC</a> coupled to the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7250+GC%2FQ-TOF">7250 Q-TOF</a> and the new Agilent low bleed DB-5Q column.<h4>Results and Discussion</h4><h5>Accurate Mass E&amp;L Library for GC/Q-TOF</h5>To create a new Agilent accurate mass E&amp;L Personal Compound Database Library (PCDL) for GC/Q-TOF, over 400 spectra have been collected for E&amp;L compounds. All accurate mass fragment ions in each spectrum have been annotated with formulas based on accurate mass information and isotope ratios (Figure 3). The fragment formula annotations were then verified and converted to the theoretical m/z.<h4>Conclusions</h4><ul><li>A combined workflow for the analysis of extractables and leachables by high-resolution GC/MS and LC/MS was developed using catheter extracts.</li><li>Both GC/MS and LC/MS techniques were necessary to cover a comprehensive list of E&amp;L compounds. Although several E&amp;L compounds were detected by both GC/MS and LC/MS, in most cases hydrocarbons, most plasticizers, and some antioxidants were more amenable to GC/MS.</li></ul><h3>2. MDCW / William &amp; Mary: A sustainable approach to nontargeted analysis using hydrogen as a carrier gas for GC×GC</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/P_13_Fisher_2c50f2c420.pdf">Full PDF for download</a></li></ul>Comprehensive two-dimensional gas chromatography (GC×GC) is a separation technique used to separate complex mixtures based on two different retention mechanisms, usually polarity and volatility. A nontargeted approach is commonly used for a separation technique such as GC×GC. This type of approach means that instead of looking for one or two specific components and disregarding the rest of the sample, the whole sample can be viewed exhaustively. This approach is more applicable for forensic cases especially, where the identity or composition of the sample is unknown. It is also a more sustainable approach because only one run is needed to have the full characterization of a sample instead of needing to run a sample multiple times with a different target analyte each time.<h4>EXPERIMENTAL</h4><ul><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/37">LECO’s Pegasus BT4D</a> instrument was used for this project.</li></ul><h4>RESULTS</h4>AGREEprep Comparisons: The overall scores for the two methods were 0.44 and 0.52 for helium and hydrogen, respectively. This means that the hydrogen method is more sustainable than the helium method. The criteria breakdown in Figure 6 shows the 10 different criteria used to score the methods, including sample throughput, sample preparation steps, and sustainable material usage, namely carrier gas choice.<h4>CONCLUSIONS</h4>The Restek EZGZ Method Translator can be used to provide three possible hydrogen methods for any given helium method. After inputting the values of a helium method, the respective hydrogen values are given for three possible methods, each prioritizing something different: translate, efficiency, and speed. The translate method was chosen as the best choice.&nbsp;The hydrogen method achieved a higher score on the AGREEprep metric, meaning that this method is more sustainable that the helium method. This better score is solely due to the carrier gas change – everything else in the methods stayed constant.&nbsp;Hydrogen as a carrier gas allows for higher sample throughput and faster run times. It can also be a renewable resource, made through the electrolysis of water in a laboratory using a generator.&nbsp;A nontargeted approach is inherently greener than a targeted approach because instead of re-running a sample multiple times to analyze a different component each time, the whole picture was captured from the beginning and can be looked at through a different lens to analyze a new component.<h3>3. Shimadzu: Analysis of PFAS in Textiles Based on EN 17681-1 and EN 17681-2</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01108_en_e04fe25939.pdf">Full PDF for download</a></li></ul><h5>User Benefits</h5><ul><li>Combining LCMS and GCMS enables the determination of PFAS below threshold limits in textiles.&nbsp;</li><li>Spike recovery test shows good percentage recoveries of all compounds (70–130 %) that are at or below the EU POPs threshold limit (25 ppb).</li><li>LabSolutions software offers integrated control over GCMS and LCMS for more efficient testing and data analysis.</li></ul>Per- and polyfluoroalkyl substances (PFAS) are used in a wide range of applications because of their useful properties, such as heat resistance and water repellency. However, PFAS are also extremely stable substances that resist degradation and accumulate in the environment, which has led to concerns about their effects on humans. Since eliminating sources of PFAS is essential to prevent them from accumulating in the environment and in living organisms, many countries are passing laws that restrict the production, distribution, and use of PFAS in products. For example, the EU POPs Regulation sets a permitted threshold of up to 0.025 mg/kg (25 ppb) for certain PFAS (including PFOA, PFOS, and PFHxS) in substances, mixtures, and products1).&nbsp;EN 17681 is a European standard that describes methods for determining PFAS in textiles. The EN 17681 standard is divided into two parts according to the target compounds and methods. EN 17681-1 describes an LC/MS/MS method that targets ionic PFAS, and EN 17681-2 describes a GC/MS(/MS) method that targets certain semi-volatile and volatile neutral PFAS. A 2025 revision of EN 17681-1 changed the sample preparation method for more efficient PFAS extraction2),3).&nbsp;This Application News describes the analysis of the target compounds shown in Table 1 based on the EN 17681-1 and EN 17681-2 standards, using both LC/MS/MS and GC/MS/MS.<h4>&nbsp;EN 17681-1 (LC/MS/MS) Analysis Conditions</h4>Analysis was performed using the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=LCMS-8050RX">LCMS-8050RX triple quadrupole mass spectrometer</a> (Fig. 1, left). The analysis conditions used are shown in Table 3. Analyzing PFAS necessitates caution because PFAS can leach from the analytical system, the mobile phase or other sources. PFAS contamination from the system was minimized by attaching a delay column between the mixer and autosampler. The mobile phase was also prepared using PFAS grade reagents.<h4>EN 17681-2 (GC/MS(/MS)) Analysis Conditions</h4>Analysis was performed using a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ8050+NX">GCMS-TQ8050 NX triple quadrupole mass spectrometer</a> (Fig. 1, right) that was equipped with a boosted efficiency ion source (BEIS). The BEIS optimizes the electron beam focus for maximum ionization efficiency, enabling reliable analysis of PFAS at very low levels. The analysis conditions used are shown in Table 4.<h4>Results from Analysis of Ski Wear</h4>Old ski clothing was used as a sample. The results obtained from analyzing this sample by the EN 17681-1 (LC/MS/MS) method are shown in Fig. 11. To investigate the effect of the EN 17681- 1:2025 update, analysis was performed using both the preupdate (EN 17681-1:2022) and post-update (EN 17681-1:2025) sample preparation methods. The alkaline hydrolysis treatment used by the EN 17681-1:2025 method dramatically increased the amounts of NMeFOSE, 6:2 FTOH, 8:2 FTOH, and 10:2 FTOH that were detected, and these compounds were detected at levels above the upper limit of their respective calibration curve ranges. This shows that PFAS extraction is improved by using the updated EN 17681-1:2025 sample preparation method. Of the 33 compounds targeted by the LC/MS/MS method, 20 were detected in the sample.&nbsp;Analyzing the sample by GC/MS/MS using the EN 17681-2 method detected 8 out of the 12 compounds targeted by the EN 17681-2 method. Of these, 8:2 FTOH and 10:2 FTOH were detected at levels above the upper limit of their respective calibration curve ranges (Fig. 12).<h4>Conclusion&nbsp;</h4>The analysis of PFAS in textiles was performed according to EN 17681-1 and EN 17681-2 standards, utilizing the LCMS-8050RX and GCMS-TQ8050 NX systems. By combining LC/MS/MS analysis and GC/MS analysis, all target compounds were successfully measured at levels of 25 ppb or less. Spike recovery test at the EU POPs threshold limit (25 ppb) also demonstrated good percentage recovery (70–130 %) for all compounds. Results also showed that PFAS extraction was improved by using the EN 17681-1:2025 sample preparation method, which was updated in 2025.<h3>4. Thermo Fisher Scientific: Fast on-line monitoring of flare gases</h3><ul><li>Other document</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/fast_on_line_monitoring_of_flare_gases_wp1635_27fa9188ff.pdf">Full PDF for download</a></li></ul><h4>Measurement of flare gas streams by process mass spectrometry</h4>Process mass spectrometry (MS) is particularly suited to the measurement of flare gas streams because it offers accurate, fast, multicomponent analysis. Table 1 shows an example of a flare gas stream containing hydrogen, nitrogen and hydrocarbons up to C6. Analysis of these eleven components will typically be performed in just 20 seconds, allowing one mass spectrometer to monitor more than one flare, depending on the distances involved. Alternatively, one MS can be used to measure process streams and flare streams, even though the composition and concentrations may be very different.<h4>Advantages of magnetic sector MS&nbsp;</h4>Thermo Fisher Scientific manufactures both quadrupole and magnetic sector mass spectrometers. Over thirty years of industrial experience have shown the magnetic sector based analyzer offers the best performance for industrial online gas analysis. Thermo Scientific™ Prima PRO process mass spectrometers (Figure 1) offer ideal capabilities for industrial gas analysis.&nbsp;Key advantages of magnetic sector analyzers include improved precision, accuracy, long intervals between calibrations and resistance to contamination. Typically, analytical precision is between 2 and 10 times better than a quadrupole analyzer, depending on the gases analyzed and complexity of the mixture.&nbsp;Neutral gas atoms and molecules are first converted into positively charged ions in the Prima PRO MS ion source. This is an enclosed type for high sensitivity, minimum background interference and maximum contamination resistance. It is a high-energy (1000 eV) analyzer that offers extremely rugged performance in the presence of gases and vapors that have the potential for contaminating the internal vacuum components. Prima PRO MS has a proven track record of monitoring high percent level concentrations of organic compounds without experiencing drift or contamination.Ions are then accelerated through a flight tube, where they are separated by their mass to charge ratios in a magnetic field of variable strength. Since the magnetic sector mass spectrometer produces a focused ion beam at the detector, the peak shape obtained is ‘flat-topped’ and uniform response is observed over a finite mass width. As the height of the peak is directly proportional to the number of ions striking the detector it is also directly proportional to the concentration of the component being measured. As long as the measurement is taken anywhere on the peak’s flat top, high precision analysis will be observed.The Prima PRO MS’ ability to measure over a wide dynamic range is critically important if the varying composition levels in flare gas are to be measured accurately. The Prima PRO MS has been independently evaluated by EffecTech UK, an independent specialist company providing accredited calibration and testing services to the energy and power industries for gas quality, flow and total energy metering. It is accredited to internationally recognized ISO/IEC 17025:2005 standards; this specifies the general requirements for the competence to carry out tests and/ or calibrations, including sampling.<h4>Summary&nbsp;</h4>Magnetic sector MS, as evidenced by the Prima PRO process MS performance, provides fast, accurate on-line analysis of flare gas composition. The inherent power of magnetic sector mass spectrometry, combined with the flexibility of GasWorks software, enables one Prima PRO MS to monitor not only flare gas streams, but also multiple process streams. Root cause fault analysis is therefore greatly facilitated, by comparing the detailed composition data from the flare gas stream with that of the various process streams. As well as complete compositional analysis, Prima PRO MS provides accurate fuel gas properties, including LHV, HHV, density, specific gravity, Wobbe Index, stoichiometric air requirement and CARI. This ensures waste gases are burnt to complete combustion and unburned pollutants are not emitted from the flare.

News from LabRulezGCMS Library - Week 12, 2026

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There are many column choices for GC and GC/MS, but which one is right for your method? Choosing the correct column type is paramount in being successful with your analysis. Understanding the stationary phase chemistry and the role it plays in column selectivity, as well as the dimensions of the capillary column itself, will result in a more robust and efficient analysis. This talk will discuss how the various stationary phases influence selectivity, as well as how column dimensions affect peak behavior and resolution. Join us as we match YOU with the right column for your analysis!<blockquote>Presenter: Ryan Birney (Application Engineer, Agilent Technologies, Inc.)In Ryan’s current role at Agilent, he provides application assistance and technical support for GC and Spectroscopy. He has been supporting Agilent in technical and sales roles for the past seven years. Ryan came to Agilent from industry, and has an BS degree in Biochemistry.</blockquote>

Agilent Technologies: Becoming a Better Chromatographer - Educational Webinar Series

Column Confidence: Making the Right Choice for Your GC Needs

Discover how stationary phases and column dimensions impact GC/GC-MS selectivity and resolution to choose the best column for your method.

Column Choice for Your GC Needs

<h4>Food &amp; Feed Sample Preparation Webinar Series</h4>Ensuring food and feed quality requires reliable determination of both contaminants and nutrients, yet sample preparation remains one of the most challenging and time-consuming steps in the analytical workflow. This webinar series introduces modern approaches to digestion and extraction that improve data quality, reduce reprocessing, and increase laboratory productivity. Through four dedicated events, covering heavy metals, organic contaminants, macro/trace minerals, and nutritional parameters such as fats, FAMEs, and amino acids, participants will discover optimized, practical workflows tailored to real-world food and feed testing.<h4>Session: Modern Sample Prep for Organic Contaminants: PAHs, PFAS, MOSH/MOAH in Food</h4>Organic contaminants in food, such as PAHs, PFAS, and MOSH/MOAH, require extraction workflows that are efficient, reproducible, and compliant with regulatory methods. This webinar showcases microwave-assisted extraction using microwave technologies to streamline sample preparation while reducing solvent use and improving recoveries. We will discuss best practices for preventing contamination, handling lipid-rich matrices, and managing PFAS-specific requirements. Attendees will learn how advanced extraction technology supports reliable quantification of these high-profile contaminants across diverse food products.<blockquote>Speaker: Luca Rota (Application Specialist, Milestone Srl)</blockquote>

Milestone: Food & Feed Sample Preparation Webinar Series

Modern Sample Prep for Organic Contaminants: PAHs, PFAS, MOSH/MOAH in Food

Modern sample preparation for PAHs, PFAS, and MOSH/MOAH in food using microwave extraction to improve efficiency, compliance, and data quality.

Modern Sample Prep for PAHs, PFAS, MOSH/MOAH in Food

<div>As gas chromatography instruments demand ever higher hydrogen purity, many labs are also under pressure to reduce environmental impact and operating costs.This webinar explores how recent advances in hydrogen gas generation are addressing both challenges at once. Dr. Ed Connor and Ian Cameron will discuss the current limitations of traditional gas supply methods and how modern on-site generation is reshaping laboratory workflows.As an attendee, you will gain insight into how today’s technologies can support consistent performance, greater reliability and more sustainable lab operations without compromising analytical quality.<h4>Attend this webinar to:</h4><ul><li>Learn how a gas generator can improve your lab’s uptime</li><li>Understand the operational efficiencies and cost savings you can get from an in-house gas generator</li><li>Gain insights into the sustainable, energy efficient benefits of on-site gas generation&nbsp;</li></ul><blockquote>Presenter: Ian Cameron (Hydrogen Design Team Lead at PEAK Scientific)As the Design Team Lead at PEAK Scientific Instruments, Ian guides a multidisciplinary team of engineers and designers in creating advanced scientific equipment for laboratory and analytical applications. With a background in mechanical engineering and physics and 15 years in the manufacturing and design industry, Ian brings a strong understanding of the scientific principles and engineering practices that underpin high performance instrumentation.Presenter: Ed Connor, PhD (Product Manager at PEAK Scientific)Dr. Ed Connor joined PEAK in 2013 as a gas chromatography (GC) product specialist before moving on to product management. He’s been working on many collaborative projects with PEAK customers and major instrument manufacturers worldwide. The main focus of these collaborations has been looking at conversion from helium to hydrogen carrier gas for GC applications. Ed completed his doctor of science degree at ETH Zurich in 2007 using GC-Mass Spectrometry (GC-MS) to look at herbivore induced plant volatiles and their interaction with beneficial insects. He then joined the University of Zurich where his work focused primarily on floral volatiles analysis using a variety of volatile collection methods, GC-MS and GC-Flame Ionization Detection.</blockquote></div>

Technology Networks: Advances in Hydrogen Gas Generation for Sustainable Laboratories

Advances in Hydrogen Gas Generation for Sustainable Laboratories

Webinar on hydrogen gas generation for GC, covering uptime improvement, cost savings, sustainability, and helium-to-hydrogen conversion strategies.

Hydrogen Gas Generation for Sustainable Laboratories

<h4>Food Safety Webinar Series: When Food Meets the Lab</h4>Food testing in the region still revolves around “legacy” contaminants that decide release, rejection, and recall discussions - veterinary drug residues, pesticide residues and fumigants, and toxic elements including species-sensitive forms, in different food matrices. This 3-part series is built for audiences where regulatory expectations reference Codex-based frameworks, country-specific legislative guidelines, and import/export-market requirements that influence testing scope, reporting limits, and confirmation criteria. Each webinar focuses on the analytical factors that drive outcomes: matrix effects and co-extractives, trace-level quantitation, transition/ion-ratio checks, interference control, and reportable result logic.Keynote expert speakers will set the regulatory context, give a glimpse of the current trends, and future implications. Agilent workflow segments map these needs to sample preparation nuances, LC-MS/MS for multi-class residues, GC-MS/MS and headspace GC for residue/fumigant markers, and ICP-MS plus LC-ICP-MS for heavy metals and speciation, including QC structures and data review patterns used in high-throughput labs, to name a few.<h5>Webinar Series Details</h5><ul><li>Register once to attend the complete 3-part series</li><li>Submit your questions beforehand</li><li>Access recorded sessions anytime within one year</li><li>Certificate of attendance will be provided to all attendees</li></ul><h4>Part 2: Pesticide Residues &amp; Fumigants Edition</h4>Pesticide residue testing is shaped by Codex/EU-aligned expectations that frequently drive import decisions, while fumigant markers remain high-scrutiny topics for ingredients and finished foods, especially in spice, grain, seed, and produce supply chains. This webinar connects the regulatory context to method choices and result interpretation: broad-scope multi-residue coverage versus matrix complexity, QuEChERS-based extraction and cleanup, split-platform workflows (LC-MS/MS and GC-MS/MS). For fumigants, the focus includes sample handling for volatility, targeted measurement approaches for ethylene oxide/2-CE and phosphine-related testing where relevant, and reporting pitfalls that trigger disputes.&nbsp;<blockquote>Presenter: Dr. Vandana Tripathy (Principal Scientist &amp; Network Coordinator, AINP on Pesticide Residues, ICAR-IARI; FSSAI Scientific Panel on Pesticide Residues, India)Presenter:&nbsp;Dr. Yu-Feng Zhang (Application Engineer, Agilent Technologies, Singapore)</blockquote>

Agilent Technologies: Food Safety Webinar Series: When Food Meets the Lab

Pesticide Residues & Fumigants Edition

Webinar on pesticide residues and fumigants: LC-MS/MS, GC-MS/MS, QuEChERS workflows and Codex/EU-aligned regulatory reporting.

<div><h4>Unlock the Power of the Latest Empower CDS Releases</h4>Since the base release of Empower Chromatography Data System (CDS) in 2010, we have gone through 36 version updates. These updates have included new features, enhancements to existing functionality, and numerous updates across multiple areas - from instrument support to infrastructure technology.In this webinar we will focus on new features and updates in recent releases impacting compliance, an extremely important topic for many of you.<h5>What you’ll understand by the end</h5><ul><li>Risks of using outdated software</li><li>Support status of various Empower Software versions</li><li>Security enhancements to Empower CDS</li><li>Recent updates in USP calculations</li><li>Risk reduction of potential bias in the laboratory</li><li>Streamline the lab with Multi Angle Light Scattering and monitoring application</li></ul><h5>Who should attend</h5><ul><li>This webinar is designed for Lab Managers, Empower System Administrators, Quality, Quality IT, and Lab Personnel.</li></ul>Please join us for a lively discussion as we explore this topic. As always, please bring your questions for this exclusive opportunity to ask our experts anything about Empower Software.<blockquote>Presenter: Neil Lander (Senior Principal Product Manager, Waters Corporation)Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Senior Principal Product Manager focusing on Informatics solutions.He provides internal support for Empower Chromatography Data System and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives.</blockquote></div>

Waters Corporation: Empower Tips: Ask Me Anything About Updates in Empower Software to Advance Your Compliance

Empower Tips: Ask Me Anything About Updates in Empower Software to Advance Your Compliance

Webinar on recent Empower CDS releases, covering compliance updates, security enhancements, and laboratory risk reduction strategies.

Updates in Empower Software to Advance Compliance

Anti-doping control laboratories operate within a highly competitive field, where efficiency plays a key role. In this webinar, we’re proud to feature two experts and share their insights with you.Dr. Aðalheiður Dóra Albertsdóttir and Wim van Gansbeke will be providing a window into the operations of a lab that analyses up to 16.000 samples per year with only 21 staff members.A method for quantifying endogenous anabolic androgenic steroids in urine using hydrogen as the carrier gas has been further optimized through the implementation of a Deans switch. In this configuration, the column flow is directed to the MS only during the elution of the target compounds.Join us and explore lowering costs and maintenance with hydrogen carrier gas and Deans switch technology in steroid analysis.<blockquote>Presenter: Dr. Aðalheiður Dóra Albertsdóttir (Deputy Head of the GC-MS Department, DoCoLab, University of Gent, Belgium)Presenter:&nbsp;Wim van Gansbeke (Head of the GC-MS Department, DoCoLab, University of Gent, Belgium)</blockquote>

Agilent Technologies: Cost And Maintenance Reduction Through The Use Of Hydrogen Carrier Gas And The Deans Switch When Analysing Silylated Steroids

Cost And Maintenance Reduction Through The Use Of Hydrogen Carrier Gas And The Deans Switch When Analysing Silylated Steroids

Join us and explore lowering costs and maintenance with hydrogen carrier gas and Deans switch technology in steroid analysis.

Cost & Maintenance Reduction by Use Of Hydrogen Carrier Gas

<div>Learn about how Fourier-Transform Infrared (IR) and Electron Paramagnetic Resonance (EPR) spectroscopies enable in-depth understanding of polymer reactions. This webinar will review two main topics:<ul><li>The curing process of polymers and how FT-IR allows for real time monitoring of kinetics and degree of cure, with calibration protocols to measure conversion percentages.</li><li>The use of EPR spectroscopy to study radical mechanisms involved in polymerization, degradation, and stability of polymer materials.</li></ul><h4>Webinar Overview</h4>Polymers are an integral part of everyday life, from household goods to various fields of research and industrial applications. The ability to study the formation, degradation and stability of polymers is an important endeavor in the development of materials with better performance and longevity. Join us for this informative webinar on understanding the mechanisms and kinetics of various polymer processes via Fourier-Transform Infrared (FT-IR) and EPR Spectroscopy.The polymer curing process, from reaction kinetics to quantification of the process, is important to understand for new materials. FT-IR is highly suited for tracking the curing process due to its sensitivity to changes in functional groups We will showcase the ability of FT-IR in monitoring reaction kinetics and quantifying the degree of cure. Attendees will also gain technical insights into optimized workflows for R&amp;D and QA environments. &nbsp; Polymerization or degradation of polymer materials can often involve the formation of free radicals. The best suited method for unambiguous detection of free radicals in polymer processes is EPR Spectroscopy, which is a high-sensitivity, versatile and non-destructive technique. We will showcase the ease-of-use the Magnettech ESR5000 benchtop spectrometer and how users can incorporate workflows to identify radicals/impurities, track kinetics, and stress test polymer materials. &nbsp;&nbsp;<h4>What to Expect</h4>In this webinar, we will show how FT-IR and EPR methods provide valuable information during polymer formation and degradation processes. Learn how FT-IR can track reaction kinetics in real time and provide calibration procedures for the curing process. Dive into EPR as a robust, non-destructive technique for studying radical driven mechanisms in polymer materials under diverse conditions.<h4>Key Learning Points</h4>This webinar demonstrates how FT-IR and EPR are suitable for studying polymer reactions and kinetics under various conditions<ul><li>FT-IR workflows for kinetics of curing and quantifying degree of cure</li><li>Case studies using UV treated acrylates and calibration procedures for curing percentages</li><li>EPR for tracking free radical driven processes in polymer reactions, degradation and testing of polymers exposed to various stimuli</li></ul><h4>Who Should Attend?</h4><ul><li>Polymer chemists and researchers developing new materials</li><li>Industry professionals working with polymer materials looking to add screening tools to their workflows</li><li>Polymer scientists wanting to understand the radical mechanisms that drive processes such as polymerization or degradation</li></ul><blockquote>Presenter: Alvaro Montoya (Ph.D. in chemistry from the University of Florida, EPR Application Scientist, Bruker BioSpin)Alvaro Montoya began his EPR career as a Ph.D. student at the University of Florida after obtaining his B.S. in Chemistry from Susquehanna University. Early in his graduate career, he made use of CW and High Field EPR in studying the catalytic mechanisms of metalloenzymes. He then grew a profound appreciation for FT EPR and expanded his EPR toolbox for his research endeavors. After completing his Ph.D., Alvaro joined Bruker in January of 2023 working as an Applications Scientist.Presenter: Dr. Sergey Shilov (Product Manager, &nbsp;Bruker Optics)Dr. Sergey V. Shilov is a Product Manager for North America at Bruker Optics. Sergey joined Bruker in 2001. He is responsible for the support and development of new applications for the Bruker research FTIR systems. He received his Ph.D. in 1992 from the Russian Academy of Sciences in Polymer Physics and his M.S. from St. Petersburg State University (Russia) in Physics in 1986. Alexander Von Humboldt Foundation (Germany) awarded him a research fellowship in 1996. Sergey published 37 papers in peer-reviewed journals. His research interests include time-resolved FTIR spectroscopy, surface science, polymer, and life-science applications.&nbsp;</blockquote></div>

Bruker: Understanding Polymer Reactions and Degradation with FT-IR and EPR Spectroscopy

Understanding Polymer Reactions and Degradation with FT-IR and EPR Spectroscopy

Use FT-IR and EPR to study polymer curing, reaction kinetics, and radical mechanisms in polymerization and degradation.

Polymer Reactions with FT-IR and EPR Spectroscopy

Raman microscopy is widely used for chemical identification and chemical imaging, yet many real-world organic samples remain difficult to analyze with Raman. Biological tissues, cells, and environmental microplastic samples often exhibit strong fluorescence backgrounds, while weak scattering limits sensitivity. This can lead to researchers frequently encountering long acquisition times, uncertain particle identification, or datasets that lack the quality needed for confident interpretation and identification.Infrared spectroscopy is a powerful technique for chemical identification of organic samples but it has poor spatial resolution compared to Raman, tied to its much larger wavelengths. This webinar will discuss a breakthrough new sub-500nm IR spectroscopy technique called Optical photothermal IR spectroscopy (O-PTIR). O-PTIR provides chemical imaging and spectroscopy without fluorescence interference in seconds on organic samples such as microplastics and life sciences.This webinar will also discuss examples of simultaneous sub-micron IR and Raman spectroscopy, from the same sample region, such that the complementarity of IR and Raman without fluorescence interference in seconds as well as new laser-scanning based innovations for high-speed imaging for improved throughput. Application examples in microplastics characterization and life science research will demonstrate how challenging samples can be analyzed more reliably, how chemical specificity can be improved, and how multimodal workflows can provide actionable chemical information where traditional Raman imaging struggles.<h5>Key Learning Objectives:</h5><ul><li>Understand the fundamental limitations of Raman microscopy when analyzing samples such as microplastics and life science.</li><li>Learn about the new breakthrough O-PTIR technique that allows one to get sub-500nm spectra on organic samples with examples provided from microplastics and life sciences.</li><li>Discover how a combination of IR and Raman spectra obtained simultaneously and from the same sample location, can improve confidence in unknowns identification and provided, and also improved data quality.</li></ul><h5>Who Should Attend:</h5><ul><li>Microplastics and environmental researchers studying polymer particles in complex matrices</li><li>Cell and tissue biologists using chemical imaging or microscopy techniques</li><li>Biopharmaceutical scientists investigating subvisible protein particles, aggregates, and formulation stability</li><li>Raman microscopy and spectroscopy users encountering fluorescence or weak signal limitations</li><li>Polymer and materials scientists performing particle or surface characterization</li><li>Analytical chemists working with heterogeneous or challenging samples</li><li>Core facility managers and laboratory directors responsible for analytical instrumentation selection</li></ul><blockquote>Presenter: Andrew P. Ault (Professor, Department of Chemistry, University of Michigan)Presenter:&nbsp;Dr. Mustafa Kansiz (Director of Product Management, Photothermal Spectroscopy Corp)</blockquote>

C&EN: Overcoming Raman Microscopy Challenges in Microplastics and Life Sciences

Overcoming Raman Microscopy Challenges in Microplastics and Life Sciences

Webinar on O-PTIR spectroscopy combining sub-micron IR and Raman for microplastics, life sciences, and fluorescence-limited samples.

Raman Microscopy in Microplastics and Life Sciences

The aromatic profile of Trigonella caerulea (blue fenugreek) develops predominantly after harvest, yet its detailed chemical characterization has long been limited by analytical challenges associated with highly volatile and low-abundance compounds. In this study, conventional GC–MS headspace analysis was complemented by high-resolution GC–MS employing cyanopropyl-functionalized stationary phases to improve compound separation and identification.While standard GC–MS enabled the detection of major volatile aldehydes and monoterpenoids, high-resolution GC–MS proved essential for resolving co-eluting compounds and identifying very volatile aroma constituents with greater confidence. In parallel, non-volatile α-keto acids were quantified by LC–MS to provide a comprehensive view of aroma precursors.Comparative analysis demonstrates that high-resolution GC–MS significantly enhances analytical depth and accuracy, allowing a more complete understanding of aroma formation dynamics during drying and storage. These results underline the critical role of advanced chromatographic techniques in elucidating complex herbal aroma systems.<h4>Learning points:</h4><ul><li>Analytical resolution matters: High-resolution GC–MS provides superior chromatographic separation and compound identification compared to conventional GC–MS, enabling reliable detection of highly volatile and low-abundance aroma compounds that would otherwise remain unresolved.</li><li>Method choice shapes interpretation: The apparent aromatic profile of Trigonella caerulea depends strongly on the analytical technology used, with advanced GC–MS approaches revealing a substantially higher chemical complexity than standard methods.</li><li>Integrated analytics are essential: Combining high-resolution GC–MS for volatile compounds with LC–MS for non-volatile aroma precursors allows a more complete understanding of aroma formation dynamics during drying and storage.</li></ul><h4>Who should attend?</h4><ul><li>Analytical chemists and method developers&nbsp;</li><li>Food, flavor, and fragrance scientists&nbsp;</li><li>Natural products and phytochemistry researchers&nbsp;</li></ul>If you cannot attend this webinar please register to receive a link to the On Demand version the following day.<blockquote>Presenter: Dr. Thomas Stegemann (Lab Manager and group leader, Christian-Alberts-University Kiel)Thomas has a Dr. in pharmacy, deep GC and GC/MS knowledge and combines both assets working for the University in cooperation with Pharma companiesPresenter:&nbsp;Petra Gerhards (Regional Marketing Manager, EMEA, AAT, Thermo Fisher Scientific)</blockquote>

Thermo Fisher Scientific: Aromatic profiling using GCMS and HRGCMS

Aromatic profiling using GCMS and HRGCMS

Learn how HRMS GC–MS and LC–MS improve characterization of blue fenugreek aroma compounds and reveal complex flavor formation during drying and storage.

<h4>Topic 1: Trace and Ultra Trace levels of Micro Nano Plastics using Py-GCMS (20 minutes)</h4>Pyrolysis–GC/MS is increasingly demonstrating its capabilities for mass-based analysis of micro and nano-plastics. This seminar aims to provide an overview of the Pyrolysis–GC/MS technique and explain its application for the direct analysis of micro- and nano-plastics from various environmental matrices, enabling both identification and quantification.<h4>Topic 2: Advancing Trace-Level Chemical Analysis with the Agilent 5977C GC/MSD: Sensitivity, Stability, and Smart Performance for Modern Laboratories (20 minutes)</h4>As analytical laboratories face increasing pressure to deliver faster results, lower detection limits, and greater operational efficiency, choosing the right GC/MS platform has never been more critical. The Agilent 5977C GC/MSD represents the latest evolution in single quadrupole mass spectrometry, delivering enhancements that directly address today’s analytical challenges—whether in environmental testing, materials analysis, food safety, or industrial applications.In this webinar, we will introduce the key capabilities of the Agilent 5977C GC/MSD, including advanced ion source technologies, improved robustness and system intelligence, and workflow-friendly software tools that support confident, reproducible quantification.<blockquote>Presenter: Dr. Sathrugnan Karthikeyan (Regional Technical Manager, Frontier Laboratories, Japan)Dr. Sathrugnan Karthikeyan received his Ph.D. in Analytical Chemistry and did postdoctoral research in the USA, Japan, and Singapore universities. He has over 20 years of experience in analytical chemistry, food, and environmental safety fields of research. He is currently working as the Regional Technical Manager for Frontier Laboratories, JapanPresenter:&nbsp;Dr. Shruthi Kini (GC/GCMS Product Specialist, Agilent Technologies, Singapore)Dr. Shruthi Kini holds a Ph.D. from Nanyang Technological University, Singapore. She first gained experience with Agilent’s instruments as a customer before joining Agilent in 2021. Shruthi currently serves as a Product Specialist for GC and GC/MS solutions, supporting Singapore and South Asia.Originally a Research Scientist, she has in-depth knowledge of Agilent’s GC and GC/MS systems, with expertise in method development, method transfer, and validation for a wide range of analytical samples, including flavor compounds, edible oils, microbial, and clinical samples.</blockquote>

Agilent Technologies: Trace the Threat: Py-GC/MS Workflows for Microplastics Characterization

Trace the Threat: Py-GC/MS Workflows for Microplastics Characterization

Py-GC/MS and the Agilent 5977C GC/MSD improve trace analysis of microplastics and chemicals.

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