Pesticides and biocides are widely used in agriculture, building materials, and urban gardening to control pests and protect crops and public health. While much attention has been paid to pesticide residues in food, water, and outdoor environments, far less is known about their presence inside homes, where people spend the majority of their time. A new RECETOX study published in Indoor Environments addresses this gap by examining pesticides detected in house dust and their relevance for human exposure.&nbsp;The study reveals that Czech household dust commonly contains multiple pesticide residues, highlighting the persistence of both historic and current chemical use indoors. Modern pesticides were detected in 93% of homes, with two fungicides (carbendazim and propiconazole) most frequently found, while compounds related to the long‑banned pesticide DDT were present in dust from all homes, and were at higher levels in homes over 40 years old. Homes located closer to agricultural areas showed higher levels of current‑use pesticides in spring, indicating an influence of nearby farming activities. &nbsp;House dust acts as a sink for chemicals transported indoors from outdoor sources as well as from indoor use. Many pesticides can persist in dust for long periods, leading to continuous exposure in indoor spaces. This is particularly important for young children, who have higher exposure to dust from playing on the floor and mouthing toys and objects. The research underscores that indoor environments are not isolated from their surroundings. Understanding what ends up in house dust is a crucial step toward protecting public health and developing more comprehensive approaches to managing chemical risks in everyday life.&nbsp;<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/RECETOX_Vyzkum_pesticidu_v_domacim_prachu_opomijena_cesta_lidske_expozice_a9a089fd2f.jpg" alt="RECETOX: Pesticides in House Dust: An Overlooked Pathway of Human Exposure" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_RECETOX_Vyzkum_pesticidu_v_domacim_prachu_opomijena_cesta_lidske_expozice_a9a089fd2f.jpg 195w," sizes="100vw" width="738" height="591"><blockquote><h4>Original Article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S2950362026000214?via%3Dihub">Legacy and current-use pesticides in indoor settled dust and association with building age and seasonality</a></h4>Paula Marcinekova, Ondřej Mikeš, Simona Rozárka Jílková, Petr Šenk, Jakub Martiník, Jan Böhm, Petra Borilova Linhartova, Lenka Andrýsková, Jana Klánová, Lisa MelymukIndoor Environ., 2026, 3, 100169<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1016/j.indenv.2026.100169">https://doi.org/10.1016/j.indenv.2026.100169</a>&nbsp;<h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote><h4>Abstract</h4>Indoor pesticide exposure is increasingly recognized as a significant contributor to pollutant exposure in residential spaces. This study investigates concentrations of legacy organochlorine pesticides (OCPs) and current-use pesticides (CUPs) in settled dust from 116 homes in the Czech Republic, in the context of their seasonal variability, relationships with building characteristics, geospatial factors, and indoor dust bacteriome diversity and composition. CUPs were detected in dust in 93% of homes, with carbendazim (84.5%), propiconazole (49.1%), atrazine (24.1%), and tebuconazole (11.2%) detected most frequently. OCPs were found in all homes. Propiconazole concentrations were significantly higher in homes with adjacent gardens, potentially reflecting its use as a biocide in outdoor building materials. CUP concentrations had clear seasonal trends, with peak levels in spring and summer, corresponding to pesticide application periods, particularly in rural environments. OCP concentrations were substantially higher in houses over 40 years old, indicating the persistence of residues from past indoor uses. While pesticide presence was ubiquitous, exposure estimates for children, under both average and high-exposure scenarios, were well below U.S. EPA reference doses (RfDs) for individual compounds; however, most homes had 3–11 pesticides in dust, raising the possibility of mixture effects. No significant associations, using a Spearman rank correlation matrix, were observed between pesticide concentrations and indoor dust bacteriome diversity and composition. These findings highlight the presence of pesticides in homes, including those in urban areas, driven by both current and historical sources, and reinforce the importance of monitoring to better understand potential exposure pathways.<h4>Instrumentation</h4><h5>1. LC–MS/MS analysis of CUPs</h5><ul><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?instrumentationItems=27&amp;mainauthorItems=10&amp;search=1290+Series+Gradient">Agilent 1290 Series Gradient HPLC</a></li><li>Columns:<ul><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1701">Phenomenex Luna C18</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?instrumentationItems=34&amp;mainauthorItems=50&amp;search=SecurityGuard+C18">Phenomenex SecurityGuard C18</a></li></ul></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=55&amp;search=QTrap+5500%2B">SCIEX QTrap 5500+</a> (triple quadrupole MS, ESI+)</li></ul><h5>2. GC–MS/MS analysis of OCPs</h5><ul><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=1&amp;mainauthorItems=10&amp;search=8890A">Agilent 8890A GC</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=19&amp;mainauthorItems=7&amp;search=Rxi-5Sil-MS">Restek Rxi-5Sil-MS capillary column</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7000D">Agilent 7000D triple quadrupole MS</a></li></ul>

Pesticides in House Dust: An Overlooked Pathway of Human Exposure

🎤 Presenter: <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/articles?search=petr+vozka">Petr Vozka</a> (California State University LA)💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/paper/32783">PDF presentation</a><h3>Abstract</h3>Microplastics (MPs) are pervasive pollutants throughout our local marine environments. They serve as vectors for organic compounds, yet the variability of their adsorbed contaminants along highly urbanized coastlines remains poorly resolved.This study examines the variation in MP contamination and its associated organic compounds across three beach sites in the greater Los Angeles region. Surface sediments will be collected from each site. MPs will be isolated through a density separation to remove inorganic components, followed by oxidative digestion of the remaining organic matter. The recovered MPs will be characterized using an inlet capable of high-temperature thermal desorption/pyrolysis coupled with two-dimensional gas chromatography-time-of-flight mass spectrometry (GCxGC-TOFMS) to identify polymer-specific marker compounds and thereby determine MP composition and relative abundance at each location. In addition, a preliminary thermal desorption (TD) step will be applied before pyrolysis to assess organic compounds adsorbed to MP surfaces. Chromatographic profiles from the single-step <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=13-3-2-11-8">TD/PY-GC×GC-TOF-MS</a> analyses will be statistically compared among sites using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1873">Chromatof Sync 2D software</a> to evaluate differences in both polymer types and co-occurring contaminants. The results will provide insight into how local sources, hydrodynamics, and land use patterns influence the distribution of MP polymers and their adsorbed contaminant loads along urbanized Southern California coastlines.<h3>Video Transcription</h3>In this presentation, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/articles?search=petr+vozka">Petr Vozka</a> (California State University, Los Angeles) addresses a critical analytical challenge associated with chemical recycling of plastics—namely, the detailed characterization of unsaturated hydrocarbons (olefins) formed during depolymerization processes.Plastic waste recycling remains a major global issue, with most materials still ending up in landfills. Emerging thermochemical and catalytic recycling approaches convert plastic waste into fuel-like products. However, these products are highly complex mixtures containing a broad distribution of hydrocarbons, particularly olefins, whose accurate quantification and classification remain analytically demanding.Unlike conventional petroleum-derived fuels, plastic pyrolysis oils may contain up to ~50 wt.% olefins, making traditional analytical methods insufficient.<h4>Why Olefin Characterization Matters</h4>Olefin content directly impacts:<ul><li>Fuel stability and reactivity</li><li>Downstream upgrading processes</li><li>Material compatibility and storage</li><li>Environmental and regulatory compliance</li></ul>However, most standard methods (e.g., bromine number, FIA) only provide bulk unsaturation metrics and lack structural resolution.Additionally, these methods can produce misleading results, especially in complex matrices:<ul><li>Misclassification of compounds (e.g., dienes or heteroatom species as aromatics)</li><li>Poor performance at high olefin concentrations</li><li>Limited chemical specificity</li></ul><h4>Role of GC×GC-FID in Complex Hydrocarbon Analysis</h4>To address these challenges, the group employs comprehensive two-dimensional gas chromatography (GC×GC) with FID detection, which offers:<ul><li>High peak capacity</li><li>Structured chromatographic separation</li><li>Quantitative robustness for hydrocarbons</li></ul>Using reverse-phase GC×GC, hydrocarbons can be organized into regions:<ul><li>n-alkanes</li><li>isoalkanes</li><li>cycloalkanes</li><li>aromatics</li></ul>However, a key finding of this work is that olefins are not confined to a single chromatographic region, as often assumed in literature. Instead:<ul><li>Mono-unsaturated compounds co-elute with isoalkanes and monocycloalkanes</li><li>Di- and poly-unsaturated species appear in higher-order cyclic regions</li><li>Distribution follows a systematic trend linked to double bond count</li></ul>This significantly complicates direct quantification.<h4>Approach 1: GC×GC Combined with Selective Adsorption</h4>The first strategy combines GC×GC-FID with silver-modified silica adsorption:Principle:<ul><li>Olefins are selectively retained on the cartridge</li><li>Sample is analyzed before and after treatment</li><li>Olefin content is calculated from peak area differences</li></ul>Key features:<ul><li>Sample volume: ~50 µL</li><li>Analysis time: ~15 minutes</li><li>Quantification based on weight % (FID response)</li></ul>Advantages:<ul><li>Simple and cost-effective</li><li>Provides group-type quantification</li><li>Suitable for high-olefin samples</li></ul>Limitations:<ul><li>Reliable only above ~5 wt.% olefins</li><li>Primarily applicable to aliphatic olefins</li><li>Limited performance for heavier or aromatic systems</li><li>Co-elution effects may distort alkane quantification</li></ul>Notably, results showed that alkanes can be overestimated if olefins are not properly removed prior to quantification.<h4>Approach 2: Chemical Derivatization for Olefin Identification</h4>The second strategy focuses on chemical derivatization of double bonds, enabling more detailed structural analysis.<h5>Classical Method: DMDS Derivatization</h5><ul><li>Reagent: dimethyl disulfide (DMDS) + iodine</li><li>Reaction at ~70 °C for 1 hour</li><li>Converts olefins into heavier, more polar derivatives</li><li>Shifts peaks to different regions in GC×GC space</li></ul>Outcome:<ul><li>Enables differentiation between saturated and unsaturated species</li><li>Allows carbon-number-resolved quantification</li><li>Provides detailed group-type analysis</li></ul><h5>Limitations:</h5><ul><li>DMDS not sufficiently heavy → incomplete chromatographic shift in complex samples</li><li>Overlap with aromatic region complicates interpretation</li><li>Formation of DMDS-related artifacts</li><li>Requires elevated temperature</li><li>Regulatory challenges (iodine handling)</li></ul><h4>Next-Generation Derivatization Strategy</h4>To overcome these limitations, the group explored alternative disulfide reagents with improved properties:<ul><li>Higher molecular weight → better chromatographic separation</li><li>Improved polarity → enhanced peak shifting</li><li>Reaction at room temperature</li><li>Reduced reliance on iodine (under development)</li></ul>Verification using ¹H NMR confirmed complete consumption of double bonds, demonstrating full derivatization.This new approach significantly improves applicability for:<ul><li>Jet fuel and diesel-range samples</li><li>Highly complex pyrolysis oils</li><li>Advanced structural characterization</li></ul><h4>Analytical Impact and Future Directions</h4>This work demonstrates that combining GC×GC with targeted sample preparation strategies enables:<ul><li>Detailed olefin quantification beyond bulk parameters</li><li>Improved classification of complex hydrocarbon mixtures</li><li>Better understanding of plastic depolymerization pathways</li></ul>Future developments include:<ul><li>Integration with TOF-MS for structural confirmation</li><li>Potential coupling with VUV detection</li><li>Full method validation across feedstocks</li><li>Expansion toward aromatic olefin analysis</li></ul><h4>Conclusion</h4>Accurate characterization of olefins in plastic recycling streams requires moving beyond conventional bulk methods. The combination of GC×GC separation with selective adsorption and advanced derivatization provides a powerful analytical toolbox for resolving these complex systems.This work highlights the importance of method development tailored to emerging matrices, particularly in the context of circular economy and sustainable materials.<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>

Counting Double Bonds: GCxGC–FID For Plastic Pyrolysis Oils (Petr Vozka, MDCW 2026)

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 27th April 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 application note by Shimadzu, scientific article by BaySpec, poster by MDCW / JEOL and technical note by Thermo Fisher Scientific!<h3>1. BaySpec: PNNL and BaySpec Launch Compact Mass Spectrometry System for Rapid Narcotics Detection</h3><ul><li>Scientific article</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/PNNL_and_Bay_Spec_Launch_Compact_Mass_Spectrometry_System_for_Rapid_Narcotics_Detection_087ddb9b7e.pdf">Full PDF for download</a></li></ul>The U.S. Department of Energy’s Pacific Northwest National Laboratory’s (PNNL) VaporID, which is a newly developed portable air sampling system incorporating a miniaturized mass spectrometer (MS), can detect trace levels of fentanyl, methamphetamine, cocaine, and even explosives like TNT with great accuracy, the laboratory announced in a press release (1). Because of its success, BaySpec, an optical products manufacturer, is commercializing this instrument, which will be produced later in 2025 (1,2).&nbsp;The new system employs a technique known as noncontact detection, which collects airborne molecules and analyzes them in real time using a miniature mass spectrometer (1). The VaporID device was first developed in 2020. The device won GeekWire’s Innovation of the Year award that same year (2). At the 2025 American Society for Mass Spectrometry (ASMS) conference in Baltimore Maryland, Krisztian Torma, a BaySpec scientist and one of the lead developers, presented the latest test results of the device. The VaporID device was field-tested at the U.S.–Mexico border crossing in Nogales, Arizona. Working with the U.S. Customs and Border Protection (CBP) agency, the device was able to successfully identify trace amounts of fentanyl, as well as other narcotics including MDMA (ecstasy), methamphetamine, ketamine, and cocaine (1).Fentanyl, explosives, and other drugs have low vapor pressure, which means that they do not willingly evaporate and release very few molecules into the air. Given the fact that there are often other interfering chemicals in the air, this presents a detection challenge. The VaporID system overcomes this hurdle by filtering out irrelevant vapors and enhancing signal clarity (1).&nbsp;The success of the VaporID system is the result of a two-year collaboration between PNNL and BaySpec. With plans to commercialize the system by the end of the year, BaySpec aims to bring this advanced narcotics and explosives detection tool into routine use at ports of entry, airports, shipping facilities, and public event venues (1).<h3>2. MDCW / JEOL: ANALYSIS OF AROMA COMPOUNDS IN SPICES BY COMPREHENSIVE TWO-DIMENSIONAL GAS CHROMATOGRAPHY/TIME-OF-FLIGHT MASS SPECTROMETRY WITH MACHINE LEARNING-BASED STRUCTURE ELUCIDATION AND MOLECULAR FORMULA ESTIMATION</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/P_9_Kubota_90c993d536.pdf">Full PDF for download</a></li></ul><section><div><div><div><div><div><div>In GCxGC-MS, compound identification is commonly performed by searching the NIST database (DB) using electron ionization (EI) data. However, some compounds are not registered in the NIST DB. In addition, molecular formula estimation from molecular ions obtained by soft ionization often results in a large number of candidate formulas. To address these issues, we developed two machine learning (ML)–based methods for molecular formula recommendation and structural formula estimation. In this study, these methods are applied to the analysis of aroma compounds in spices using SPME-GCxGC-TOFMS.<h4>Experiments</h4><ul><li>Sample: 0.25 mg dried cardamom seeds&nbsp;</li><li>GC-HRTOFMS: <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=23&amp;search=JMS-T2000GC">JMS-T2000GC</a> (JEOL)&nbsp;<ul><li>SPME Fiber: DVB/CAR/PDMS fiber (20 mm, 50/30 μm) at 50°C for 30 min.&nbsp;</li><li>GCxGC Thermal modulator: INSIGHT-Thermal (Sepsolve)&nbsp;</li><li>Modulation period: 6 s&nbsp;</li><li>Column: BPX5 30 m, 0.25 mm. 0.25 µm × Rxi-17Sil MS 3.4 m, 0.15 mm, 0.15µm</li><li>Ionization: Electron ionization (EI) and Field ionization (FI).&nbsp;</li></ul></li><li>Data processing: msFineAnalysis AI (JEOL)</li></ul><h4>Conclusion</h4>We reported two machine learning (ML)-based methods for molecular formula recommendation and structural formula estimation, and applied them to the analysis of aroma compounds. Our method is considered effective for rapid structural estimation of unknown compounds in GCxGC-MS measurements.<h3>3. Shimadzu: HS-GC Analysis of Sake Aroma Compounds Using Hydrogen Carrier Gas</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00886_en_974e971712.pdf">Full PDF for download</a></li></ul><h5>User Benefits</h5><ul><li>Aroma compounds in alcoholic beverages can be quantified easily and cost-effectively.</li><li>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=HS-20+NX">HS-20 NX headspace sampler</a> enables simple, high-sensitivity analysis of aroma compounds.</li><li>Using hydrogen as the carrier gas reduces costs while maintaining separation performance.</li></ul>Aroma is a crucial component of sake. Therefore, during the sake production process, it is essential to preserve the sake’s aroma profile. One key step in sake production is pasteurization (“hiire”), in which unpasteurized sake is heated to sterilize it, deactivate enzymes, and halt fermentation. This pasteurization step is known to impair the aroma of sake if it is carried out for too long or at too high a temperature. In this analysis, a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2030">Nexis GC-2030 gas chromatograph</a> was combined with an HS-20 NX headspace sampler (Fig. 1) to quantify individual aroma compounds in sake before and after pasteurization.&nbsp;Headspace gas chromatography (HS-GC) is an effective method for analyzing volatile compounds, including aromas. HS-GC requires no pretreatment (e.g., derivatization), and sample preparation is straightforward: simply place the sample in a vial and perform the analysis.&nbsp;Hydrogen, which is inexpensive and readily available, was used as the carrier gas. Using H2 gas as the carrier reduces analysis costs while maintaining high separation performance over a wide range of linear velocities. However, because hydrogen is flammable, it must be handled with care. The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2030">Nexis GC-2030</a>, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Brevis+GC-2050">Brevis GC-2050</a>, and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2060">Nexis GC-2060</a> gas chromatographs can be equipped with an optional hydrogen sensor that measures H2 concentration in the column oven. If the hydrogen sensor detects a leak, the system shiftsto standby mode or automatically powers off, helping prevent accidents before they occur.<h4>Conclusion</h4>By combining the Nexis GC-2030 gas chromatograph with the HS-20 NX headspace sampler, the aroma compounds can be easily quantified without pretreatment such as derivatization. In addition, using inexpensive, readily available H2 as the carrier gas reduces analysis costs while maintaining high separation performance. Because the Nexis GC-2030 can be equipped with an optional hydrogen sensor, analyses using H2 carrier gas can be performed safely.<h3>4. Thermo Fisher Scientific: “Outside the box” Raman spectroscopy: Remote measurements for bulk samples</h3><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/remote_measurements_for_bulk_samples_tn1524_en_498225b670.pdf">Full PDF for download</a></li></ul>The effectiveness of Raman spectroscopy depends, in general, on focusing the excitation laser onto the sample. However, there are many cases where a traditional spectrometer’s working distance is not sufficient to achieve this, in which case a focus-independent, long-distance collection proves invaluable. One potential application of this focus-independent “remote” measurement is high-throughput plastics recycling, where many differently sized plastics are passed along at a fixed distance and screened for specific material identification. Similarly, any potential use cases of samples inside a glove box or within a hazardous environment may benefit from long-distance collection, because the laboratory grade spectrometer can be kept clear of the sample enclosure while providing excellent spectral signal. It should be noted that each unique application comes with its own optical beam path and laser safety requirements.In addition to this particular modality, the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2238">Thermo Scientific™ DXR3 Flex Raman Spectrometer</a> provides excellent experimental versatility with micro scale, bulk sampling, and fiber probe collection modes also available. Shown below is a longdistance analytical setup in which the DXR3 Flex Raman spectrometer passes the unfocused laser beam through a quartz shielding window onto a polystyrene sample (Figure 1). The relationship between pathlength/sample mounting preparation and spectral signal is investigated below, to validate the use of a long-distance collection mode as a viable alternative to more traditional, focus-dependent analysis. It is worth mentioning the practice of standoff Raman spectroscopy, a technique designed to provide Raman data at distances ranging from 1 m to several hundred meters. However, these systems often require significantly different components than a standard Raman spectrometer, such as pulsed lasers, gated detectors, UV excitation wavelengths, and telescopic focusing elements.¹ The work described here performs measurements at a distance with a simple, off-the-shelf, benchtop spectrometer.<h4>Practical use case: recycled plastic identification&nbsp;</h4>One of the major benefits of this long-distance measurement technique is being able to handle samples of various sizes and thicknesses without needing to adjust the laser focus for specific samples. The following results simulate a potential use case where remote Raman spectroscopy is used to rapidly identify the plastic materials of various sizes. The samples were fixed at a 50 cm pathlength, and collection times were set at 10 s.All three samples show clear and identifiable Raman signals. The plastic drum is identified as polyethylene, while the water bottle is a specific, BPA-free polycarbonate alternative. The plastic bag is multilayered, with signals from both polyethylene and polycarbonate, along with a visible fluorescence peak at 2150 cm-1. All of these different polymers are spectroscopically identifiable, and at a range of different sample thicknesses. These results provide an excellent view into the use of this technique on non-reference samples. This is just one example of a potential use for the long-distance collection mode, a mode which enables much greater versatility in experimental design and instrument placement.</div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 18, 2026

Article

Application

Video

Health

Presentation

Science and research

Poster

RECETOX (Research Centre for Toxic Compounds in the Environment) is an independent department of the Faculty of Science of Masaryk University in Brno, which has been established in 1983. RECETOX is focused on the research and education in cross-cutting area of Environment and Health. It addresses interactions among chemicals, environment, and biological systems, including consequences at local, regional, and global levels.

RECETOX - Centrum pro výzkum toxických látek v prostředí

The Multidimensional Chromatography (MDC) Workshop draws experts in this exciting field to share and discuss their research.

The Multidimensional Chromatography Workshop

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

Agilent Technologies

Wiley

Shimadzu Corporation

Waters Corporation

Is your lab ready to begin its digital transformation?
Using IoT sensor technologies, AI modeling, and advanced analytics, your digital lab can safely capture data, create business intelligence,and implement actioned programs. Connect your lab digitally by watching this episode of The Lab Central.
<blockquote>
Presenter: Kamesh Janakiraman (Product Specialist - Lab Informatics, Agilent Technologies)
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Agilent Technologies: The Digital Lab Connection

The Digital Lab Connection

Using IoT sensor technologies, AI modeling, and advanced analytics, your digital lab can safely capture data.

By default, Empower Software performs many calculations for you to automate and simplify your workflows including internal and external standard quantitation as well as numerous system suitability calculations.
Leveraging these built-in calculations helps you reduce waste and variability in your chromatographic workflow. 
What happens when there are calculations you need to make that are unique to your methods? Or, if there are calculations that are a bit beyond the ordinary that you would like to create and automate? 
In this interactive session we will explore capabilities within Empower Software to design tailored calculations to meet your laboratory’s needs and solve your problems. Creating these tailored calculations streamlines your workflow and keeps you within the compliant Empower Software environment. 
Please join us for a live discussion. As always, don’t forget to bring your questions for this exclusive opportunity to ask our experts anything about Empower Software. 
<blockquote>
Presenter: Neil Lander (Principal Product Manager - Informatics Group, Waters Corporation)
</blockquote>
<blockquote>
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, Principal Marketing Manager in Waters in the Informatics group. Neil provides internal support for Empower CDS software and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters Corporation, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.
</blockquote>

Waters Corporation: Ask Me Anything About Streamlining Workflows: Creative Problem Solving and Tailored Calculations

Ask Me Anything About Streamlining Workflows: Creative Problem Solving and Tailored Calculations

Capabilities within Empower Software to design tailored calculations to meet your laboratory’s needs and solve your problems.

Empower: Creative Problem Solving and Tailored Calculations

Gas chromatography-mass spectrometry (GCMS) is a powerful analytical technique that finds widespread application in various industries. However, the substantial volume of data produced by GCMS can be overwhelming and labour-intensive to process manually.
In this Digital Classrooms session, join us as we explore the power of AI-driven data analysis through Shimadzu&#39;s Peakintelligence™ for GCMS, designed to streamline peak integration to get faster and more accurate results without the complexities. With this new algorithm, data analysis becomes intuitive for users of all skill levels. Manual configuration of parameters is no longer required, and high accuracy of results can be achieved, comparable to that of an experienced user, even when dealing with trace samples.
Moreover, witness a live demonstration of Peakintelligence™ for GCMS applied to multi-residue pesticide data. This demonstration will showcase how you can achieve 4x higher efficiency in quantitative analysis.
Learning Objectives:
<ul>
<li>Learn about Shimadzu&#39;s new AI-based peak integration feature
</li>
<li>Discover the benefits of an AI-based peak integration algorithm for GCMS data processing
</li>
<li>Experience the simplicity of Peakintelligence™ for GCMS
</li>
</ul>
<blockquote>
Presenter: Chua Chun Kiang, PhD (Senior Product Specialist - GCMS, Shimadzu Asia Pacific Pte Ltd)
</blockquote>
<blockquote>
Chun Kiang received his Ph.D. in Chemistry from Nanyang Technological University, Singapore. He has been at Shimadzu Asia Pacific since 2019. He has more than 10 years of experience in research and training across multiple disciplines including mass spectrometry, gas and liquid chromatography, nanomaterials, electrochemistry, and organic chemistry. He enjoys sharing technical knowledge and helping to identify solutions for challenges in chemistry.
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Presenter: Durvesh Prabhakar Sawant (Assistant Manager - GCMS, Shimadzu Analytical - India Pvt Ltd)
</blockquote>
<blockquote>
Durvesh Sawant holds a Master&#39;s degree in Bioanalytical Sciences from Mumbai University in India. After academics, he joined Shimadzu as an &#39;Application Specialist&#39; for GC, GCMS and till now, has more than 12 years of experience in the analytical sciences field. Over time, he has specialized in developing food safety solutions using GCMS-MS. Additionally, his sound knowledge of computers and software, has lead to his involvement in software evaluations and providing informatics support to the customers.
</blockquote>

Shimadzu - AI-Driven Data Analysis: Get 4x Higher Efficiency with Shimadzu GCMS Peakintelligence™

AI-Driven Data Analysis: Get 4x Higher Efficiency with Shimadzu GCMS Peakintelligence™

AI-Driven Data Analysis with Shimadzu GCMS Peakintelligence™

Wiley’s KnowItAll spectral software offers solutions to identify, analyze, and manage analytical data (IR, MS, NMR, Raman, and UV-Vis). Combined with Wiley’s comprehensive, high-quality spectral reference libraries, it provides an unparalleled solution for fast, reliable spectral analysis.
With the KnowItAll 2024 software release, Wiley continues to expand KnowItAll’s capabilities, including an integrated tool for multi-technique quantitative analysis that can greatly streamline your workflow; plus, many enhancements and upgrades to data management, processing, and reporting. In this release, we have also made advances to our NMR workflow and LC-MS databasing.
In this webinar, we will review the latest features and how they can impact your research and analyses.
<blockquote>
Presenter: Dr. Michelle D’Souza, Ph.D. (Product Manager, Software Products, Wiley Science Solutions)
</blockquote>
<blockquote>
Dr. D’Souza brings years of insight and knowledge in the area of spectral informatics with leadership roles at Wiley and Bio-Rad Laboratories. In addition to multiple years as a scientific researcher at Abbott (now AbbVie) and DuPont. She has a Ph.D. in Chemistry from Northern Illinois University and a Masters in Analytical Chemistry form the Chinese Academy of Preventative Medicine. She earned a BS degree from the Chemistry Department of Beijing University.
</blockquote>

What's New in KnowItAll 2024

The latest features and how they can impact your research and analyses.

How about a 20 minute coffee break along with a bite of <a href="https://lcms.cz/products/627">Empower</a>? Here you go!
In this session we demonstrate how to create and use Customer Fields to generate workflows in Empower
A Custom Field is a user defined field (or column) of information in a table. Creating Custom Fields gives you the ability to create tailored sample identifiers and calculations beyond what Empower provides by default. During this series, we will explore the various types of Custom Fields that can be created and provide some practical examples.
Learn more and register!
<blockquote>
Presenter: Carsten Fischer (Informatics Product Marketing, EMEA, Waters Corporation)
</blockquote>

Waters - Informatics series #12 Adjust Empower very flexible to your specific needs

Adjust Empower very flexible to your specific needs

In this session we demonstrate how to create and use Customer Fields to generate workflows in Empower.

The digital lab is more than a vision. Agilent offers everything you need to accelerate your journey to peak efficiency—today.
There is no question that recent technologies can dramatically improve efficiency and scientific insights for analytical labs. Automation, artificial intelligence, robotic systems, virtual reality, informatics, advanced algorithms, and consistent data structures all hold promise for increasing lab throughput, reducing errors, and cutting costs.
The new question is how to transform your vision of the digital lab into reality—quickly, cost-efficiently, and with a strong partner you can trust. Agilent has the open solutions, the modern technology, and the proven track record you need to accelerate your journey with confidence. Let us explore the opportunities together.
<h4>In this webinar, you will understand 3 focus area:</h4>
1. Data Optimization - To get the answers lab managers and data scientists need faster using informatics, analytics, AI and more.
2. Enterprise Optimization - To drive down operational costs through cloud operations, security, and resource management.
3. Lab Optimization - To increase yield, quality, and throughput via digital services, workflow orchestration, and lab automation.
 Who should attend?
This webinar is exclusively meant for executives, heads, managers and decision makers who are looking forward to making the lab environment more digital and paperless. This webinar content is suitable for Pharmaceuticals/ Biopharmaceuticals/ Food testing &amp; Chemical industry R&amp;D/ ADL/ QC/ QA/ IT etc.
<blockquote>
Presenter: Amit Ghate (Application Specialist - Lab Informatics, Agilent Technologies)
Amit Ghate is currently working as Lab Informatics Application Specialist at Agilent Technologies. Amit comes from analytical software background where he has an in-depth knowledge of variety of software like Chromatography Data Systems, Data Management, LIMS, Electronic Lab Notebook, databases, reports and Compliance. Prior to joining Agilent, Amit worked with Persistent Systems Ltd as a Project Manager for software support and services. He has done his Masters in Bioinformatics from University of Pune. His main areas of interest is in providing workflow solutions and enabling digital transformation of labs.
</blockquote>

Agilent India: Transforming your Lab to Digital & Paperless

Transforming your Lab to Digital & Paperless

Automation, artificial intelligence, robotic systems, virtual reality, informatics, advanced algorithms, and consistent data structures in the lab.

When it comes to chemical quantitative analysis, researchers often find themselves navigating multiple software packages. Mastering these tools to achieve the same level of expertise and reproducibility is a major pain point.
Further disruption to the workflow can occur when one needs to switch tools depending on the analytical technique or data format or even resort to using spreadsheets or in-house tools that require manual processes and are prone to error. 
To overcome these challenges, Wiley’s new KnowItAll Quantitation tool provides a single, easy-to-use tool to perform these tasks consistently in a vendor-neutral environment. 
<h4>In this session we will:</h4>
<ul>
<li>Introduce KnowItAll’s simple and intuitive quantitation process, its unique features, and how it can streamline and enhance your analytical workflow.
</li>
<li>Demonstrate through live examples the various methods supported by KnowItAll: external calibration, internal calibration, and standard addition analysis, and how to successfully quantify spectra of unknown concentration.
</li>
</ul>
<h4>This session is recommended for:</h4>
<ul>
<li>Scientists and analytical chemists who use AT-IR, IR, GC-MS, Raman, and UV-Vis techniques for spectral quantitative analyses.
</li>
<li>Professors and students engaged in analytical chemistry and quantitative analysis courses or lab work.
</li>
</ul>
<h4>About KnowItAll Solutions:</h4>
KnowItAll offers solutions to analyze and manage multiple types of spectral and chemical data in multiple file and instrument formats. KnowItAll&#39;s integrated toolsets eliminate the need for multiple software packages and increase overall lab efficiency. Combined with the comprehensive spectral reference database, KnowItAll provides chemists the most advanced technology available for spectral analysis.
<blockquote>
Presenter: Dr. Leanna Ergin (Assistant Editor, Wiley Science Solutions)
</blockquote>
<blockquote>
 Q&amp;A with:
Nadia Laschuk (Product Manager - Software and Databases - New Techniques)
Michelle D’Souza (Product Manager, Software Products)
</blockquote>

Wiley: Introducing KnowItAll Quantitation: Complete & Simplify Your Analytical Workflow

Introducing KnowItAll Quantitation: Complete & Simplify Your Analytical Workflow

We will Introduce KnowItAll’s simple and intuitive quantitation process and demonstrate through live examples the various methods supported by KnowItAll.

Introducing KnowItAll Quantitation

In this session we demonstrate how to create and use Customer Fields to generate workflows in Empower

Waters Corporation: Waters Empower Custom Fields

Empower Custom Fields

In this session we demonstrate how to create and use Customer Fields to generate workflows in Empower

Waters Empower Custom Fields

In this session we show you how you streamline your documentation and replace paper by electronic recording

Waters Corporation: Waters Empower LMS Inventories

Empower LMS Inventories

In this session we show you how you streamline your documentation and replace paper by electronic recording 

Waters Empower LMS Inventories

Discover a new tool for multi projects search in Empower. This session shows you how you can use a new tool for answering questions that took a lot of effort in the past.

Waters Corporation: Waters Empower search tool

Empower search tool

This session shows you how you can use a new tool for answering questions that took a lot of effort in the past. 

GCMS webinars focusing on Software - page 13