<p><strong>This study compares the metabolomic profiles of dwarf and commercial tomato cultivars using nontargeted GC–MS metabolomics. The dwarf cultivar UFU TOM MC 1 showed elevated levels of osmoprotectants, antioxidants, and stress-responsive amino acids, including myo-inositol and proline.</strong></p><p>Pathway analysis revealed enrichment in carbohydrate, amino acid, and protein metabolism pathways associated with stress adaptation. These findings highlight the potential of dwarf tomato cultivars for breeding programs focused on improving stress tolerance, resilience, and nutritional quality.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsagscitech.5c00253"><strong>Comparative Metabolomic Analysis Reveals Stress-Resilient Metabolites in Dwarf Tomato Plant</strong></a></h4><p>Brena R. M. Ikehara*, Natália R. Almeida, Gabriel M. Maciel, Ana C. S. Siquieroli, Camila S. de Oliveira, Lucas M. Pereira, Ana L. A. Ribeiro, and Frederico G. Pinto</p><p>ACS Agric. Sci. Technol. 2026, 6, 1, 83–91</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acsagscitech.5c00253">https://doi.org/10.1021/acsagscitech.5c00253</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><div><p>Tomato (<i>Solanum lycopersicum</i>) is one of the most important vegetable crops globally, extensively cultivated and consumed across diverse regions. In 2022, global production was estimated at about 180 million tons, of which roughly 39 million tons were processed by the food industry. <a href="javascript:void(0);">(1)</a> Belonging to the Solanaceae family, along with other important vegetables, tomato fruits offer several health benefits due to their rich range of phytonutrients, including carotenoids, flavonoids, and phenolic acids, and also contribute to strengthening the agroeconomic chain. <a href="javascript:void(0);">(2,3)</a> This fruit is considered a model species due to their diploid genome, filling a niche in the studies of fleshy fruits that cannot be occupied by <i>Arabidopsis</i>. <a href="javascript:void(0);">(4)</a></p><p>Tomato plants can be cultivated in temperate to hot climatic zones, but significant amounts of agricultural input and irrigation are required. However, they can be harshly affected by biotic and abiotic stresses such as drought, salinity, extreme temperatures, and attacks by herbivores or pathogens, compromising productivity and fruit quality. <a href="javascript:void(0);">(5)</a> The impacts of global warming on temperatures threaten the development and production of many crops worldwide, including tomato plants, and therefore food and nutrition security. <a href="javascript:void(0);">(6)</a> For example, low humidity triggers calcium depletion and increases soil salinity, leading to plant diseases and greatly reducing the tomato crop yield. High temperatures also affect important steps for fruit development, including fruit setting, flowering, and ripening, further reducing tomato yield. <a href="javascript:void(0);">(7,8)</a></p><p>To reduce the consequences of these changes on tomato production, several breeding programs use wild species, such as <i>S. pimpinellifolium</i>, <i>S. chileno</i>, <i>S. peruvianum</i>, <i>S. pennellii</i>, and <i>S. hirsutum</i>, along with improved varieties <i>S. lycopersicum</i> var. <i>Lycopersicum</i>, for crosses that resulted in enhanced biotic and abiotic resistances. In the search for resistance genes in tomatoes, plants with dwarfism genes have stood out in recent years. <a href="javascript:void(0);">(9,10)</a> Besides being easy to work with, due to their monogenic recessive heredity, they are known for being capable of bringing positive morphological and physiological changes, such as smaller plant architecture, shorter internodes, resistance to pests <a href="javascript:void(0);">(11,12)</a> and diseases, <a href="javascript:void(0);">(13)</a> and saline and water stress. <a href="javascript:void(0);">(14)</a></p><p>While recognizing the benefits of tomato plants with the dwarfism gene, such as the production of hybrids with higher yield and resistance, <a href="javascript:void(0);">(15)</a> there are still gaps in the germplasm of this species regarding their chemical composition, including primary and secondary metabolites in leaflets, fruits, and roots. Addressing these gaps requires research focusing on elucidating the chemical composition of tomato varieties, which allows describing their nutritional potential. In order to achieve this, metabolomics, a set of analytical techniques applied to identify substantial amounts of metabolites in biological samples, is employed. Specifically, a nontargeted metabolomics approach, through analyses in gas chromatography coupled to mass spectrometry (GC-MS), has the potential to help better understand the plant metabolome and explain the correlation of metabolites with quality and yield, generating a greater understanding of the physiological and biochemical processes of the dwarf tomato plant. <a href="javascript:void(0);">(16,17)</a></p><p>This research aimed to investigate the chemical composition of leaflets from different tomato cultivars through GC-MS metabolomic analysis. The main goal was to better understand the differences and advantages of genetic variation, adaptability, and resilience of dwarf and commercial tomato cultivars through metabolomic analysis of their leaflets.</p><h4><strong>Experimental Section</strong></h4><h5><strong>Gas Chromatography-Mass Spectrometry Analyses</strong></h5><p>The analysis was performed using gas chromatography coupled with a mass spectrometer (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-QP2010"><strong>GCMS-QP2010</strong></a>, Shimadzu, Kyoto, Japan), equipped with a DB-5MS capillary column (30 m × 250 μm internal diameter). The sample injection temperature used was 280 °C, with a constant helium gas flow of 1.0 mL/min throughout the process. The initial temperature for chromatographic separation was 80 °C, which was maintained for 2 min. Subsequently, the temperature was increased by 5 °C every minute, up to 290 °C, which was maintained for 5 min. The injection volume was 1 μL with a split of 20:1. The interface and ion source temperatures used were 250 °C. The detector voltage was 1.2 kV, and the electron impact ionization mode was selected for the ionization of metabolites at 70 eV. An alkane standard (C10–C40) was used for the quality control and retention index calculation.</p><h4><strong>Results</strong></h4><p>The metabolomic analysis on GC-MS generated the chromatogram (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsagscitech.5c00253/suppl_file/as5c00253_si_001.pdf">Figure S1</a>), in which 45 compounds with significantly differentially expressed among UFU MC TOM 1, Santa Clara, and Paron Set (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsagscitech.5c00253#fig1">Figure 1</a>A) were annotated, according to analysis of variance (ANOVA) (Fisher’s LSD test, <i>p</i> &lt; 0.05, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsagscitech.5c00253/suppl_file/as5c00253_si_001.pdf">Table S1</a>) and shown as a heatmap (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsagscitech.5c00253#fig1">Figure 1</a>B). Notably, the metabolomic profile of the UFU MC TOM 1 cultivar is statistically different from the others, as confirmed by Partial Least Squares Discriminant Analysis (PLS-DA) with values of <i>R</i><sup>2</sup> = 0.9940 and <i>Q</i><sup>2</sup> = 0.7928 (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsagscitech.5c00253#fig1">Figure 1</a>C). PLS-DA analysis, using compounds with significant differences in their abundances, showed a distinct clustering for each group, with components 1 and 2 explaining 91.4 and 5.4% of the total variance, respectively (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsagscitech.5c00253/suppl_file/as5c00253_si_001.pdf">Figure S2</a>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Agric_Sci_Technol_2026_6_1_83_91_Figure_1_A_Visual_comparison_of_the_three_cultivars_e7fd3114e0.jpg" alt="ACS Agric. Sci. Technol. 2026, 6, 1, 83–91: Figure 1. (A) Visual comparison of the three cultivars. (B) Heatmap of the mean intensity levels across the analyzed groups: UFU MC TOM 1 (yellow), Paron Set (red), and Santa Clara (green). (C) PLS-DA plot, accounting for 37.3% of the observed variation in group separation." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Agric_Sci_Technol_2026_6_1_83_91_Figure_1_A_Visual_comparison_of_the_three_cultivars_e7fd3114e0.jpg 194w," sizes="100vw" width="2100" height="1691"></p><p>The divergent compounds between the groups underwent pathway analysis enrichment, based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The ten metabolic pathways identified as significantly impacted were galactose metabolism (<i>p</i> = 0.0003); valine, leucine, and isoleucine biosynthesis (<i>p</i> = 0.0023); cyanoamino acid metabolism (<i>p</i> = 0.0051); glyoxylate and dicarboxylate metabolism (<i>p</i> = 0.0051); glycine, serine, and threonine metabolism (<i>p</i> = 0.0074); sulfur metabolism (<i>p</i> = 0.0145); butanoate metabolism (<i>p</i> = 0.0185); alanine, aspartate, and glutamate metabolism (<i>p</i> = 0.0302); and biosynthesis of unsaturated fatty acids (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsagscitech.5c00253#fig2">Figure 2</a>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Agric_Sci_Technol_2026_6_1_83_91_Figure_2_Metabolic_pathway_analysis_overview_c2744a562b.jpg" alt="ACS Agric. Sci. Technol. 2026, 6, 1, 83–91: Figure 2. Metabolic pathway analysis overview. The analysis took into consideration the significant metabolites identified previously in this work. The color of the circles represents −log(p), with red being the highest, while the size of each circle is proportional to the impact of the pathway." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Agric_Sci_Technol_2026_6_1_83_91_Figure_2_Metabolic_pathway_analysis_overview_c2744a562b.jpg 196w," sizes="100vw" width="1000" height="799"></p><h4><strong>Discussion</strong></h4><p>Several metabolites were significantly more abundant in UFU MC TOM 1, revealing distinct metabolic profiles among the evaluated cultivars. These metabolites encompass various chemical classes, primarily amino acids, carbohydrates, and organic acids. As the experiment was carried out under controlled and uniform conditions, without the imposition of abiotic or biotic stress, the observed variations represent relative quantitative distinctions between cultivars. Consequently, potential links to stress responses or other biological functions are inferred from the literature rather than demonstrated experimentally.</p><p>Previous studies have demonstrated that the UFU TOM MC 1 cultivar displays broad-spectrum resistance to a variety of pests, with these defense responses being largely attributed to elevated acyl sugar concentrations in the leaf tissue. <a href="javascript:void(0);">(11,12)</a> The metabolite profile identified in UFU TOM MC 1 indicates the presence of metabolic pathways potentially linked to resistance against multiple biotic stresses, highlighting its value for future functional and breeding studies. Currently, tomato pest management remains largely dependent on insecticide application. <a href="javascript:void(0);">(53)</a> The insights gained from this study indicate that advancing the development of pest-resistant tomato cultivars could markedly decrease the reliance on pesticides, promoting more sustainable production systems. Previous studies have reported UFU MC TOM 1 as resistant to <i>Xanthomonas euvesicatoria</i> pv <i>perforans</i>, but the underlying mechanisms remain unclear. <a href="javascript:void(0);">(13)</a></p><p>The pronounced differences in metabolites and metabolic pathways between UFU TOM MC 1 and commercial cultivars offer important evidence of the superior resilience to biotic and abiotic stresses of this dwarf tomato lineage. In general, the accumulation of osmoprotectants, antioxidants, and stress-responsive amino acids, along with the activation of defense-related pathways, sheds further light on the dwarf genetic resource for breeding programs aimed at improving crop resilience under changing environmental conditions.</p><p>Although untargeted metabolomics does not replace the rigorous validation protocols typical of targeted quantitative assays, it provides a robust and widely accepted approach for detecting meaningful metabolic differences. This strategy enables the identification of variations that are more likely to reflect genuine biological differences. While some metabolites may have nutritional relevance, the experimental design does not allow definitive conclusions on this parameter. Although the findings do not provide direct evidence of resistance mechanisms, they advance our understanding of the biochemical and physiological bases of the resilience of UFU TOM MC 1 and generate testable hypotheses about its adaptive potential, which may support tomato productivity, especially in the context of global climate change.</p></div>

Comparative Metabolomic Analysis Reveals Stress-Resilient Metabolites in Dwarf Tomato Plant

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 18th May 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application note by<strong> Shimadzu, </strong>poster by <strong>MDCW / InfoMass</strong> and brochure by <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. MDCW / InfoMass: Development of a Fully Software-Controlled, Alignment-Free Loop-Delay Thermal Modulator for GC×GC</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/P_22_Wu_0662310ba1.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>Loop-delay thermal modulation is a well-established approach for comprehensive two-dimensional gas chromatography (GC×GC) and inherently requires precise alignment of the modulation loop. In conventional designs, this alignment must be performed manually by the user, a process that is difficult, time-consuming, and often unreliable, as the modulation loop can shift during operation due to repeated hot-jet gas pulses, leading to misalignment and degraded modulation performance. This work addresses these limitations through a redesigned loop-delay modulator in which precise alignment is ensured intrinsically by the modulator geometry, eliminating user-dependent alignment while improving mechanical stability and operational robustness.&nbsp;</p><h4><strong>Key Improvements &nbsp;</strong></h4><ul><li>Intrinsic loop alignment by geometry, eliminating user-performed alignment&nbsp;</li><li>Mechanically secured loop holder, preventing loop movement during hot-jet gas pulses &nbsp;</li><li>Easy loop winding, simplifying installation and replacement&nbsp;</li><li>No moving mechanical parts, improving robustness and reliability&nbsp;</li><li>Fully software-controlled modulation, including hot-jet temperature, valve timing, modulation period, and cold-jet gas flow&nbsp;</li><li>Programmable cold-jet gas flow, providing indirect control of modulation temperature&nbsp;</li><li>Programmable modulation period, enabling flexible optimization for correcting peak wrap-around.&nbsp;</li><li>Independent of GC controls, enabling standalone operation</li></ul><h4><strong>Installation and Compatibility&nbsp;</strong></h4><p>Precise loop alignment is automatically achieved through the modulator’s mechanical design. The loop remains fixed during operation and is not affected by hot-jet gas pulses. The compact, modular system is compatible with most commercial gas chromatographs and operates independently of GC control hardware and software</p><h3><strong>2. Shimadzu: Simultaneous Analysis of Methoxypyrazines in Processed Tomato Products by GC–MS/MS with SPME Arrow</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01141_en_78979e911f.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>SPME Arrow enables high-sensitivity determination of methoxypyrazines in processed tomato products by efficiently preconcentrating volatile compounds.</li><li>GC–MS/MS in MRM mode provides isomer selectivity and reliable quantitation of methoxypyrazines, even in complex sample matrices.</li><li>The AOC-6000 Plus multifunctional autosampler automates SPME Arrow injection to increase throughput and improve repeatability.</li></ul><p>In processed vegetable foods and beverages, small changes in aroma and flavor can strongly affect perceived quality. For processed tomato products in particular, a vegetative (green) or hay-like off-flavor is often a key concern. This off-flavor has been linked to methoxypyrazines present at very low levels (ppt levels around 10 ng/L).&nbsp;</p><p>Methoxypyrazines include many closely related analogs. Therefore, a robust quantitative method must deliver both high sensitivity and sufficient selectivity (and/or separation) to handle real matrices.&nbsp;</p><p>In this article, five methoxypyrazines previously detected in vegetables (Table 1) were analyzed using a GC-MS/MS system with the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=SPME+Arrow"><strong>SPME Arrow</strong></a> injection method. The method provides stable quantitation at ng/L (ppt) levels, even in complex, interference-rich samples.</p><h4><strong>System Configuration</strong></h4><p>All measurements were performed with a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ8040+NX"><strong>GCMS-TQ8040 NX triple quadrupole</strong></a> GC–MS/MS system equipped with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=AOC6000+Plus"><strong>AOC6000 Plus</strong></a> multifunctional autosampler (Fig. 1).&nbsp;</p><p>The AOC-6000 Plus supports multiple sample introduction techniques—including liquid injection, headspace, and SPME— and can switch between them automatically based on the method. This flexibility makes it well suited for laboratories that handle many sample types and applications.</p><h4><strong>Conclusion</strong></h4><p>By using an AOC-6000 Plus autosampler with the GCMS-TQ8040 NX system and optimizing the SPME Arrow injection method, five off-flavor methoxypyrazines were successfully measured at ng/L (ppt) levels. Using MRM improved selectivity and enabled isomer-specific analysis, including differentiation of isomers that are difficultto separate by GC alone.&nbsp;</p><p>When applied to real processed tomato products, the method enabled quantitation of 2-methoxy-3,5-dimethylpyrazine (MDMP). This system reduces matrix interference and provides high sensitivity for trace-level off-flavor compounds.</p><h3><strong>3. Thermo Fisher Scientific: Sentinel PRO 710 environmental mass spectrometer Precise real time gas analyzer for toxic volatile organic compounds</strong></h3><ul><li>Product specification</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/sentinel_pro_710_spec_sheet_en_886523bfc2.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=3&amp;search=Sentinel+PRO"><strong>Thermo Scientific™ Sentinel PRO Environmental Mass Spectrometer </strong></a>is a highly reliable and versatile gas analyzer ideal for reporting the presence of toxic VOCs from fugitive emissions in industrial settings to ensure worker safety.&nbsp;</p><h5><strong>Fugitive emissions of toxic VOCs&nbsp;</strong></h5><p>Wherever there is potential danger for fugitive emissions of toxic organic vapors from a chemical production unit, regulating authorities often require plants to keep records of ambient vapor concentrations to protect workers from exposure. Various forms of capture include evacuated vessels, organic vapor monitors, or purge and trap devices, all of which require samples to be sent for analysis. Alternatively, electrochemical sensors or open path FT-IR spectroscopy can provide more immediate results. However, none of these technologies are capable of providing the spatial and temporal resolution required to qualify as actionable information.&nbsp;</p><h5><strong>Analytical platform&nbsp;</strong></h5><p>The primary feature of the Sentinel PRO mass spectrometer is the magnetic sector analyzer. This field-proven technology has demonstrated the strongest performance for industrial on-line gas analysis. Magnetic sector technology offers precision, accuracy, long intervals between calibrations. The new touchscreen interface further enhances usability, providing intuitive in-person operation, simplified maintenance, and real-time data viewing. Multi-role user permissions ensure security and control allowing operators to customize settings based on their specific needs.&nbsp;</p><h5><strong>Comprehensive data collection&nbsp;</strong></h5><p>With speed and precision, the Sentinel PRO analyzer monitors all the critical areas for short-term exposure levels of toxic VOCs, and also provides accurate and time-weighted average exposure data. With a high number of sample points available, many can be located close to potential leak points such as valve stems, etc., enabling leak detection and correction before any toxic hazard is created.&nbsp;</p><h5><strong>Membrane inlet mass spectrometry&nbsp;</strong></h5><p>The analyzer is fitted with a membrane inlet to reduce the pressure of the sample air from atmospheric to the working pressure of the enclosed ion source. This allows a method of sample introduction that greatly enhances the system’s sensitivity to VOCs. Since the membrane is more permeable to VOCs than to major air gases, it provides enrichment by several orders of magnitude, enabling detection as low as 5 ppb (species dependent) permits easy membrane replacement during annual routine maintenance to minimize downtime and increase productivity.</p></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 21, 2026

Inline Analysis of the Plastics Melt Emissions in Real Time During Mechanical Recycling Using the SIFT-MS Method

<p><strong>In the week of May 25, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Restek Corporation: Choosing a Different Carrier Gas in GC and Why are Liners Deactivated</strong></h5><ul><li>Tu, 26.5.2026 14:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6213">Registration</a></li></ul><p>This webinar covers the key considerations when switching to hydrogen or nitrogen.</p><h5><strong>2. GERSTEL: AutoTwister and 4 New Twister Phases: Expanding the SBSE Capabilities</strong></h5><ul><li>We, 27.5.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6157">Registration</a></li></ul><p>In this webinar, Frank Jacobs shows how GERSTEL automates the SBSE workflow with AutoTwister, from extraction through thermal desorption.</p><h5><strong>3. AZoM: Real-Time Raman Gas Analysis for Today’s Power Generation: Natural Gas, Hydrogen Blending, and Fusion</strong></h5><ul><li>We, 27.5.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6206">Registration</a></li></ul><p>Discover how real-time Raman gas analysis supports modern power generation by enabling fast, inline monitoring of natural gas, hydrogen blends, and fusion-related gas streams.</p><h5><strong>4. LECO: Effective Utilization of GC and GCxGC in Battery Materials Characterization</strong></h5><ul><li>We, 27.5.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6190">Registration</a></li></ul><p>Gas chromatography is a powerful tool for volatile and semi-volatile species in battery materials, but its application faces significant challenges.</p><h5><strong>5. AZoM: Analysis Masterclass for Polymer-Based Advanced Materials</strong></h5><ul><li>Th, 28.5.2026 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6194">Registration</a></li></ul><p>In this webinar, you will learn about the analytical techniques and best practices for testing polymer-based advanced materials, from early R&amp;D through to production quality control.</p>

Webinars LabRulezGCMS Week 22/2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 25th May 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application note by<strong> Shimadzu, </strong>presentation by <strong>MDCW / University of Washington</strong> and poster by <strong>Waters Corporation!</strong></p><h3><strong>1. MDCW / University of Washington: Implementing Tile-Based Fisher Ratio Analysis of GC×GC-TOFMS Data to Obtain a Master Peak Table of All Detected Analyte Compounds in Many Petroleum-Based Samples</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_9_Halvorsen_136808e314.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>This presentation describes the development of a new chemometric workflow for processing <strong>GC×GC-TOFMS (comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry)</strong> data from petroleum-derived fuels. The work was conducted by researchers from the University of Washington in collaboration with Chevron Technical Center and focuses on creating a comprehensive <strong>Master Peak Table (MPT)</strong> containing all detectable analytes across multiple fuel sample classes. The motivation was that moving from conventional GC to GC×GC dramatically increased chromatographic peak capacity and resolution, but also created a need for more sophisticated data analysis methods capable of handling the much larger number of detected compounds.</p><p>The analytical platform employed <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/37"><strong>GC×GC-TOFMS</strong></a> with a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1289"><strong>thermal-flow modulator</strong></a> and a TOF mass spectrometer detector. Fuel samples were analyzed using an <strong>Rxi-1 column (30 m × 0.25 mm × 0.25 μm)</strong> in the first dimension and an <strong>Rxi-17MS column (2.0 m × 0.18 mm × 0.20 μm)</strong> in the second dimension. The sample set included multiple petroleum products such as hydrobates, reformates, naphthas, FCC gasoline, and blank samples. Log-scale chromatograms revealed numerous late-eluting trace compounds and significant compositional differences between fuel batches that were not readily visible in conventional chromatographic representations.</p><p>To process these highly complex datasets, the researchers implemented a <strong>tile-based Fisher Ratio (F-ratio) chemometric approach</strong> using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/348"><strong>ChromaTOF Tile software</strong></a>. The method divides GC×GC chromatograms into small tiles and identifies regions where analyte signals differ significantly between sample classes by comparing between-class and within-class variance. Instead of relying solely on F-ratio ranking, the workflow incorporates statistical testing against blank samples. Three blank chromatograms were used to establish tile-specific confidence intervals and p-test thresholds, allowing the system to determine whether detected signals represent genuine compounds rather than background noise. This strategy enabled the creation of a unified master peak table while minimizing problems caused by retention-time shifts and reducing the need for manual user intervention.</p><p>Application of the method generated <strong>719 statistically significant analyte hits</strong> across the fuel classes and demonstrated excellent reproducibility, with only <strong>6.3% of classifications showing inconsistent behavior among replicates</strong>. Detected compounds included hydrocarbons and aromatic species such as <strong>1-methylnaphthalene, 1,2,4-trimethylbenzene, β-vatirenene, 2-octene, and tetramethylheptadecane</strong>, whose occurrence patterns aligned well with expected fuel chemistry. The resulting master peak table contained both shared and sample-specific compounds and provided a much more comprehensive representation of petroleum composition than conventional workflows. The authors conclude that the approach should be broadly applicable to other complex sample types and could be extended using alternative chemometric metrics beyond Fisher Ratio analysis to address different experimental objectives.</p><h3><strong>2. Shimadzu: A Simple Method for Determination of β-Sitosterol as a Marker of Vegetable Oil Adulteration in Ghee by GC</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_06_sip_gc_042_en_f4c307005b.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>ShimadzuNexis GC-2030 can be effectivelyused for determination of adulteration of Ghee with vegetable oil.</li><li>The NexisGC-2030 easily meets the acceptancecriteria as per the proposed FSSAI method no.01.097:2022.</li><li>This method is suitable for routine food industry analysis and academic research.</li></ul><p>The most common milk product in Indian cuisine is ghee or clarified butter. Due to its high cost, ghee is adulterated with vegetable oil, to gain commercial benefits. β-sitosterol, a common phytosterol, found in a variety of natural sources, including vegetable fat or oil from plants (Figure 1). It is used as a marker of vegetable oil adulteration in ghee<sup>1</sup>.</p><p>The primary goal of this study is to assess the vegetable oil adulteration in ghee by analyzing β-Sitosterol as a marker using gas chromatography (GC). This will establish a foundation for the rapid detection of ghee adulteration. In this study, a simple, sensitive, and inexpensive method is developed for extraction of β-Sitosterol from ghee which is then subjected to gas chromatography with flame ionization detection for quantitation. The effects of several important parameters influencing the extraction efficiencies of β-Sitosterol including water-immiscible organic solvent (type and volume), volume of water, sonication time, surfactant (type and concentration), and organic modifier (type and volume) were investigated. This method is ideal for routine analysis in the food industry during the manufacturing, processing, and commercial testing of milk fat samples, or for academic research purposes.</p><h4><strong>&nbsp;Sample Preparation and Analysis Conditions</strong></h4><p>Standard and sample preparations were conducted following the guidelines outlined in the proposed FSSAI method No. 01.097:20222. The analysis was performed using a Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2030"><strong>Nexis GC-2030</strong></a> equipped with a Flame Ionization Detector (FID), as shown in Figure 2. The specific configuration and analytical conditions used during the study are provided in Table 1.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>A gas chromatography–based method using GC-2030 was developed for the estimation of β-Sitosterol in ghee. The method exhibits a detection limit of 2 %, enabling the identification of vegetable oil adulteration in ghee at levels as low as 2 %. At this adulteration level, the signal of β-Sitosterol achieved a signal-to-noise (S/N) greater than 3, confirming the reliability of detection at the established limit. This method provides a reliable and effective approach for the quantification of β-Sitosterol, which serves as a marker for vegetable oil adulteration in ghee.</p><h3><strong>3. Waters Corporation: Multidimensional Characterization of Short Chain Chlorinated Paraffins (SCCPs) with GC-APCI and Cyclic Ion Mobility</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009386_3232568115.pdf"><strong>Full PDF for download</strong></a></li></ul><p>This poster presents a multidimensional analytical approach for the characterization of <strong>short-chain chlorinated paraffins (SCCPs)</strong>, a class of persistent environmental pollutants included in the Stockholm Convention due to their environmental persistence and bioaccumulation potential. SCCPs are highly complex mixtures of chlorinated hydrocarbons containing thousands of possible congeners, making their analysis particularly challenging. The study evaluates the use of <strong>gas chromatography coupled with atmospheric pressure chemical ionization, cyclic ion mobility spectrometry, and high-resolution mass spectrometry (GC-APCI-IMS-HRMS)</strong> as a powerful platform for improved SCCP characterization.</p><p>The analytical instrumentation consisted of a modified <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890"><strong>Agilent 8890 gas chromatograph</strong></a> equipped with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=7&amp;search=Rxi-5SilMS"><strong>Rxi-5SilMS capillary column</strong></a><strong> (30 m × 0.25 mm × 0.25 μm)</strong> and connected to a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/202"><strong>Waters SELECT SERIES Cyclic IMS</strong></a><strong> high-resolution mass spectrometer</strong> using an <strong>Atmospheric Pressure GC (APGC) ion source</strong>. Unlike conventional electron ionization methods, APCI was operated in negative-ion mode with a chloroform modifier, promoting the formation of characteristic <strong>[M+Cl]⁻ molecular ions</strong>. This significantly reduced fragmentation and provided strong molecular-ion signals, improving both qualitative identification and quantitative analysis of SCCP homologues.</p><p>Using three commercial SCCP technical mixtures (51.5%, 55%, and 63% chlorine content), the researchers demonstrated that GC-APCI-HRMS could selectively detect SCCP homologues according to carbon-chain length and degree of chlorination. Although substantial chromatographic overlap was observed among many homologues, the addition of <strong>ion mobility spectrometry (IMS)</strong> introduced a valuable extra separation dimension. Distinct drift-time versus m/z trendlines were observed for compounds sharing the same number of chlorine atoms, allowing homologues to be grouped and characterized more effectively than by chromatographic retention and mass spectrometry alone. The IMS data also enabled estimation of the relative abundance of individual homologue groups within each technical mixture.</p><p>The authors further explored the resolving power of the <strong>cyclic IMS device</strong> by employing multiple ion-mobility passes (up to eight cycles) to investigate individual SCCP congeners. While complete separation of individual congeners within a homologue group was not achieved, higher ion-mobility resolution revealed measurable differences between early- and late-eluting species and provided additional insight into compositional differences among SCCP mixtures. The study concludes that combining <strong>GC-APCI, cyclic ion mobility spectrometry, and high-resolution mass spectrometry</strong> offers a powerful multidimensional workflow for the characterization of complex chlorinated paraffin mixtures and may improve environmental monitoring and future regulatory analysis of these challenging contaminants.</p></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 22, 2026

<p><strong>In the week of June 1, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. AZoM: Infrared Measurement – Basic Principles</strong></h5><ul><li>Tu, 2.6.2026 16:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6223">Registration</a></li></ul><p>Discover non-contact IR temperature measurement. Learn the physical laws of infrared systems, why emissivity settings are key for accuracy, and how to reduce errors in your process.</p><h5><strong>2. AZoM: Simplifying Real-Time Natural Gas Monitoring with Integrated Process Raman and Flow Measurement</strong></h5><ul><li>We, 3.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6207">Registration</a></li></ul><p>Explore an integrated process Raman and flow measurement solution for real-time natural gas monitoring, compositional analysis, and operational optimization from wellhead to pipeline.</p><h5><strong>3. Agilent Technologies: Seeing Through the Barrier: Practical Limits and Best Practices for Raman Sample, Container, and Test Conditions</strong></h5><ul><li>Th, 4.6.2026 19:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6051">Registration</a></li></ul><p>Discover what SORS-enabled Raman can and cannot measure. Learn how sample type, packaging, and conditions affect results and when FTIR may be the better analytical choice.</p>

Webinars LabRulezGCMS Week 23/2026

Untargeted Chemical Profiling of Two-Dimensional Gas Chromatography Coupled with High-Resolution Mass Spectrometry Data for Botrytized Wines via Topological Data Analysis

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 1st June 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you brochure by <strong>Agilent Technologies</strong>, application note by<strong> Shimadzu, </strong>and<strong> </strong>presentation by <strong>MDCW / University of Washington!</strong></p><h3><strong>1. Agilent Technologies: </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890B"><strong>Agilent 8890B Gas Chromatograph</strong></a></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/ds_8890_gas_chromatograph_5994_9064en_agilent_94b0175782.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>The Agilent 8890B GC delivers high‑performance gas chromatography through advanced electronic pneumatic control, precise oven temperature management, and Agilent capillary flow technology, which provides reliable, leak‑free, in‑oven connections and supports flexible system configurations with minimal method development time.&nbsp;</p><p>An upgrade, more responsive 7-inch capacitive touchscreen and a full Agilent GC Assist interface, offer real-time status, configuration, signal monitoring, and remote access for setup, troubleshooting, leak checking, maintenance, and method management across devices.&nbsp;</p><p>Sustainability features include programmable sleep and wake modes to reduce resource consumption, along with gas and power usage calculators that track method‑level efficiency. Known for reliability and long life, Agilent GC systems are supported by a 10‑year use guarantee to ensure a low cost of ownership.</p><h4><strong>GC system capabilities&nbsp;</strong></h4><ul><li><strong>Retention time repeatability: </strong>&lt; 0.008% or &lt; 0.0008 minutes&nbsp;</li><li><strong>Area repeatability:</strong> &lt; 0.5% RSD&nbsp;</li></ul><p>Built-in intelligence autonomously monitors the health of the system, alerts the user of potential issues before they affect chromatographic performance, and offers helpful step-by-step guides to resolve issues.&nbsp;</p><p>The 7-inch touch screen gives a visual report of the system configuration, letting you update the active method, perform maintenance routines, and check GC instrument status.&nbsp;</p><p>The GC Assist interface provides remote connectivity enabling you to monitor your smart GC system, check system logs, and perform diagnostics tests, from inside or outside the&nbsp;laboratory.&nbsp;</p><p>Maintenance and service modes, including autonomous leak checks, are easily accessed from the touchscreen and browser interface.&nbsp;</p><p>Atmospheric pressure and temperature compensation are built into every system, so results do not change, even when the laboratory environment does.</p><p>Automatic liquid sampling is fully integrated into mainframe control and includes up to 3-layer sandwich injections and sample preparation capabilities such as heating, mixing, standard addition, and derivatizations.&nbsp;</p><h5><strong>Simultaneously supports&nbsp;</strong></h5><ul><li>Two inlets&nbsp;</li><li>Five detectors&nbsp;</li><li>Four detectors (with additional large valve oven&nbsp;option)&nbsp;</li><li>Support for up to 10 valves&nbsp;</li><li>Six GC column Smart Key ports&nbsp;</li></ul><h5><strong>Instrument dimensions&nbsp;</strong></h5><ul><li><strong>Height: </strong>49 cm (19.2 in)&nbsp;</li><li><strong>Width: </strong>58 cm (22.9 in) with EPC inlet and detectors; 68&nbsp;cm (26.8 in) with detector as TCD or with certain valving options mounted on the left side of the GC&nbsp;</li><li><strong>Depth: </strong>51 cm (20.2 in)&nbsp;</li><li><strong>Typical weight:</strong> 49 kg (108 lb)&nbsp;</li></ul><h5><strong>Maintenance and support services&nbsp;</strong></h5><ul><li>Integrated early maintenance counters that allow planned maintenance and help eliminate unnecessary downtime&nbsp;</li><li>Instrument events or shutdowns displayed on keyboard display or data system</li><li>Remote diagnostics&nbsp;</li><li>Performance verification services&nbsp;</li><li>Easy parts identification and part number finder software (standalone software, does not require Agilent CDS)</li></ul></div></div></div></div></div></div></section><h3><strong>2. MDCW / University of Washington: Tile-based Analysis of GC×GC-TOFMS Data of SPME Sampled VOCs Produced from Pseudomonas aeruginosa and Aspergillus fumigatus</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_8_Wenjing_34786a3e4a.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>This presentation describes a novel chemometric approach for analyzing complex GC×GC-TOFMS datasets generated from volatile organic compounds (VOCs) released by the pathogens <i>Pseudomonas aeruginosa</i> and <i>Aspergillus fumigatus</i>. These microorganisms frequently coexist in the lungs of cystic fibrosis patients, where their interactions are associated with worsening respiratory function and poorer clinical outcomes. The study aims to identify VOC biomarkers that distinguish microbial monocultures, cocultures, and growth media controls, providing insights into pathogen interactions and potential diagnostic markers.</p><p>To achieve this, the researchers combined solid-phase microextraction (SPME) sampling with comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/37"><strong>GC×GC-TOFMS</strong></a>). This analytical platform offers high chromatographic resolution, rapid spectral acquisition rates of up to 500 spectra per second, and rich three-dimensional datasets containing chromatographic and mass spectral information. However, each chromatogram can contain more than one million data points, creating significant challenges for data processing and interpretation.</p><p>The core of the work focuses on tile-based feature selection methods implemented through the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/348"><strong>ChromaTOF Tile software</strong></a>. The primary approach, tile-based Fisher Ratio (F-ratio) analysis, identifies analytes that differ statistically between sample classes by comparing between-class and within-class variance. Using this strategy, the authors discovered 576 VOC features capable of differentiating growth media, <i>P. aeruginosa</i> monocultures, <i>A. fumigatus</i> monocultures, and cocultures. Additional pairwise statistical testing was then used to determine which specific classes were responsible for the observed differences. Representative VOCs characteristic of each class were identified, including heptanal for <i>P. aeruginosa</i>, 1-octen-3-ol for <i>A. fumigatus</i>, and several unique compounds associated with coculture conditions.</p><p>The presentation also addresses practical challenges associated with high-throughput experimentation, where replicate measurements may be limited by time, cost, or sample availability. To overcome these constraints, the team developed complementary tile-based coefficient of variation (CV) and fold-change (FC) approaches that can identify important analytes using as little as a single replicate per sample class. The authors conclude that selecting the appropriate feature-selection strategy—F-ratio, CV, or fold-change—depends on the experimental design and available data. Future work will focus on advanced analyte identification using chemometric tools such as PARAFAC, enabling deeper biological interpretation of microbial VOC signatures and their relevance to cystic fibrosis research.</p><h3><strong>3. Shimadzu: Alcohol Determination of Sanitizer Gel Using </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2060"><strong>Nexis GC-2060</strong></a></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01120_en_ed83896803.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>The newly developed FID on the Nexis GC-2060 provides excellent linearity for high-concentration samples.</li><li>The Nexis GC-2060 enables rapid oven heating and cooling, allowing results to be obtained quickly.</li><li>A special liner for aqueous solutions and an Xtra Life Microsyringe enable highly repeatable data acquisition</li></ul><p>Methods for alcohol determination are specified in USP (United States Pharmacopeia) General Chapters &lt;611&gt; ALCOHOL DETERMINATION, which describes both a distillation and a gas chromatography method. In USP &lt;611&gt;, Method II (gas chromatography) includes a capillary column method (Method IIb).&nbsp;</p><p>For GC analysis of samples containing a large amount of water (e.g., sanitizing ethanol), sample vaporization may become unstable, resulting in abnormal peak shapes and poor repeatability. In addition, with a standard micro-syringe for AOC, the plunger may become stiff during aspiration and dispensing of aqueoussolutions, which can degrade repeatability.&nbsp;</p><p>This article presents an example of alcohol determination in sanitizing ethanol using the Nexis GC-2060 equipped with a newly developed FID. The Nexis GC-2060 can be configured with a newly developed FID that has high sensitivity and excellent linearity. In addition, a special liner for aqueous solutions and an Xtra Life Microsyringe were used to achieve repeatable analysis.</p><h5><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2060"><strong>Nexis GC-2060</strong></a><strong> and the Newly Developed FID</strong></h5><p>The Nexis GC-2060 is a gas chromatograph that combines world-class analytical performance with workflow optimization based on the latest technologies. Rapid oven heating and cooling shorten analysis cycle time and improve throughput. The GC-2060 can also be equipped with a newly developed FID (Fig. 1). This FID offers world-class sensitivity and improved linearity.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The alcohol concentration in a commercially available sanitizing gel was determined using the Nexis GC-2060 equipped with the newly developed FID. The results met the system suitability requirements of USP &lt;611&gt; Method IIb, confirming the effectiveness of the Nexis GC2060 equipped with the new FID, along with the special liner for aqueous solutions, and the Xtra Life Microsyringe for repeatable analysis of aqueoussamples</p></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 23, 2026

Development and validation of an analytical pyrolysis method for determination of microplastic polymers in atmospheric aerosols

<p><strong>In the week of June 8, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. GERSTEL: Technology Overview - How V-ITEX Enhances Headspace Analysis</strong></h5><ul><li>Tu, 9.6.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6241">Registration</a></li></ul><p>Discover V-ITEX technology for headspace VOC analysis. Learn how vacuum extraction and dynamic sorption enhance sensitivity and enable automated GC-MS workflows without thermal degradation.</p><h5><strong>2. Thermo Fisher Scientific: Advanced Analytical Solutions for Oil &amp; Gas</strong></h5><ul><li>We, 10.6.2026 11:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6249">Registration</a></li></ul><p>Discover how online Raman spectroscopy, process mass spectrometry, and sulfur analysis enable real-time monitoring, regulatory compliance, and improved efficiency in refinery operations.</p><h5><strong>3. AZoM: Direct In-Line Fuel &amp; Lubricant Quality Monitoring with Process Raman</strong></h5><ul><li>We, 10.6.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6208">Registration</a></li></ul><p>Learn how Process Raman technology enables direct in-line monitoring of fuels and lubricants with real-time measurement of critical quality parameters and ASTM-aligned workflows.</p><h5><strong>4. Waters Corporation: How Transformative New Software Solutions Are Elevating Quality and Compliance</strong></h5><ul><li>Th, 11.6.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6234">Registration</a></li></ul><p>Discover how cloud-based data software elevates laboratory quality and compliance. Streamline workflows, reduce operational risks, and see a live demo of innovative informatics tools.</p>

Webinars LabRulezGCMS Week 24/2026

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Webinars LabRulezGCMS Week 24/2026

Development and validation of an analytical pyrolysis method for determination of microplastic polymers in atmospheric aerosols

News from LabRulezGCMS Library - Week 23, 2026

Untargeted Chemical Profiling of Two-Dimensional Gas Chromatography Coupled with High-Resolution Mass Spectrometry Data for Botrytized Wines via Topological Data Analysis

Webinars LabRulezGCMS Week 23/2026

News from LabRulezGCMS Library - Week 22, 2026

Webinars LabRulezGCMS Week 22/2026

Inline Analysis of the Plastics Melt Emissions in Real Time During Mechanical Recycling Using the SIFT-MS Method

News from LabRulezGCMS Library - Week 21, 2026

Comparative Metabolomic Analysis Reveals Stress-Resilient Metabolites in Dwarf Tomato Plant

Upcoming events

Agilent GC/Q-TOF User Meeting

LECO Training Course Pegasus HRT+ / HRT+ 4D

Restek at EPRW 2026

Webinars

Technology Overview - How V-ITEX Enhances Headspace Analysis

Advanced Analytical Solutions for Oil & Gas

Direct In-Line Fuel & Lubricant Quality Monitoring with Process Raman