<p><strong>Concerns about injecting water into a GC system largely come from older column designs, where stationary phases were simply coated and could be affected by water exposure. Modern capillary columns are typically chemically bonded, which improves resistance to water injections and even supports water rinsing in many cases.</strong></p><p>One practical exception involves <strong>very polar polyethylene glycol </strong>(PEG / “wax”) phases. Because these phases strongly interact with water, repeated aqueous injections can allow water to accumulate and gradually shift selectivity. For many PEG-based columns, minimizing frequent water injections helps maintain consistent performance.</p><p>A separate—and often more important—issue is water’s<strong> very large vapor expansion in a hot inlet</strong>. If the vapor volume exceeds the inlet liner capacity, backflash can occur, sending sample vapor into cooler, unheated zones and increasing the risk of carryover. Using smaller injection volumes helps reduce this risk.</p><p>In workflows where water is the<strong> sample matrix </strong>(for example, volatile analysis), analytes may elute at relatively low oven temperatures while water and higher-boiling residues can linger. Periodic bake-off (high-temperature cleanup steps) is commonly used to restore column performance when water remains on the phase at low temperatures.</p><p>In summary, the biggest hesitation about water injections is rooted in legacy, coated column stories. With chemically bonded phases, the key considerations tend to be inlet expansion/backflash behavior, water retention on very polar phases, and routine maintenance practices like bake-out.</p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1571"><strong>Zebron ZB-WAX</strong><i><strong>PLUS</strong></i><strong> GC Columns</strong></a></h4><ul><li>100% aqueous stable, excellent for aqueous samples; bonded and solvent rinseable</li><li>Extremely inert for acidic compounds</li><li>Enhanced selectivity for low boiling solvents; high retention of alcohols and chlorinated solvents</li><li>Increased efficiency at 20&nbsp;°C</li></ul></blockquote>

Water in GC: Safe or Risky? Here’s What You Need to Know

<p><strong>🎤 Presenter:</strong> <strong>Paul-Albert Schneide </strong>(University of Copenhagen)</p><p>💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/paper/32780"><strong>PDF presentation</strong></a></p><h3><strong>Abstract</strong></h3><p><strong>Tensor decomposition methods such as PARAFAC and PARAFAC2 have been proposed for resolving co-elutions, and extracting purified spectra in two-dimensional chromatography datasets. However, the application of these methods is usually restricted to local regions-of-interest (ROIs). Therefore, additional pre-processing steps, are required and processing multiple samples at once can be difficult due to retention time shifts (e.g., it is difficult to define a ROI that captures the same analyse signal in multiple samples).</strong></p><p>This work presents an application of fast, shift-invariant tensor decomposition, which was used for the decomposition of full-scale GCxGC-VUV datasets. The results show that chemical groups can be resolved, which are non-separable with conventional, template-based approaches, such as aliphates and olefines, Furthermore, the extracted peak areas are in good agreement with the quantitative results of the reference methods (e.g., bromine number for olefines).</p><h2><strong>Video Transcription</strong></h2><h3><strong>Background and Motivation</strong></h3><p>The project originated from a collaboration initiated by Alexandra Alvich from IFPEN, who approached Prof. Rasmus Bro’s research group at the University of Copenhagen for help analyzing a GC×GC-VUV dataset acquired during her PhD research. The work was then continued by Paul-Albert Schneider and Jesper Henri from the Technical University of Denmark.</p><p>The primary objective was to develop a simpler and less manually intensive approach for petrochemical group quantification while maintaining strong quantitative performance and spectral interpretability.</p><p>According to Schneider, the proposed method is based on two key principles:</p><ul><li>Simple implementation with a minimal number of tuning parameters</li><li>Accurate estimation of peak patterns, VUV spectra, and peak areas</li></ul><p>The workflow specifically targets group-level petrochemical analysis rather than individual compound identification.</p><h3><strong>Data Analysis Workflow</strong></h3><p>The presented workflow begins with a collection of GC×GC-VUV measurements. In this study, the researchers analyzed:</p><ul><li>14 gas oil samples</li><li>24 total measurements, including replicates</li><li>Samples processed using different treatment methods</li></ul><p>Initial preprocessing was performed using a dedicated plug-in module developed during Alexandra Alvich’s PhD work. The preprocessing included:</p><ul><li>Signal smoothing</li><li>Downsampling</li><li>Basic data conditioning</li></ul><p>The processed data were then submitted to the decomposition engine developed by the Copenhagen research group. The decomposition produced:</p><ul><li>Resolved VUV spectra</li><li>GC×GC chromatographic landscapes</li><li>Peak areas or peak volumes</li></ul><p>An in-house spectral library from IFPEN was subsequently used to verify that the extracted spectra corresponded to known petrochemical groups, enabling group-level quantitative analysis.</p><p>Importantly, the workflow currently requires only a single major tuning parameter: the number of components used in the decomposition model. The researchers also noted ongoing efforts to automate this selection step.</p><h3><strong>Comparison with Existing Template-Based Methods</strong></h3><p>The study benchmarked the new approach against Alexandra Alvich’s previously developed template-based quantification method.</p><p>In the template-based workflow:</p><ul><li>Elution regions are predefined using a grid structure</li><li>Peak intensities within those regions are summed</li><li>Quantitative estimates are obtained for specific petrochemical classes</li></ul><p>Although the template-based strategy demonstrated strong performance compared with other analytical techniques, Schneider highlighted several limitations:</p><ul><li>Sensitivity to retention time shifts</li><li>Manual adjustment of integration regions</li><li>Dependence on prior knowledge of coeluting compounds</li></ul><p>The new decomposition-based method was designed to reduce manual intervention and improve robustness against chromatographic variability.</p><h3><strong>Shift-Invariant Trilinear Decomposition</strong></h3><p>The proposed workflow is conceptually related to PARAFAC and multivariate curve resolution methods.</p><p>One important advantage of GC×GC-VUV data is the applicability of the Beer–Lambert law, which enables mathematically structured decomposition approaches.</p><p>The researchers evaluated two possible strategies:</p><ol><li>Decomposing each sample individually</li><li>Decomposing all samples simultaneously after concatenation into one large dataset</li></ol><p>The second strategy became the central focus of the work. Multiple samples were concatenated into a large matrix and factorized to extract shared chemical information across all measurements simultaneously.</p><p>Unlike many conventional GC×GC deconvolution pipelines, the workflow does not rely on a prior region-of-interest detection step. Instead, the entire dataset is decomposed directly.</p><h3><strong>Addressing Retention Time Shifts</strong></h3><p>A critical challenge for PARAFAC-type models is the assumption of strict trilinearity. In GC×GC datasets, however, second-dimension retention time shifts caused by temperature programming violate this assumption.</p><p>Schneider demonstrated how standard one-component PARAFAC models fail to properly model shifted peaks, leaving characteristic residual patterns. When fitting additional components, conventional models often allocate extra components to describing peak shifts instead of resolving true coeluting compounds.</p><p>The shift-invariant model solves this issue by explicitly accounting for chromatographic shifts. As a result:</p><ul><li>Large shifted peaks are modeled correctly</li><li>Residuals are minimized</li><li>Small coeluting peaks become resolvable</li></ul><p>The algorithm uses fast Fourier transform (FFT)-based operations internally to correct for chromatographic shifts efficiently.</p><p>According to the presentation, the approach is also significantly faster than PARAFAC2, which is commonly used for shifted datasets.</p><p>The researchers additionally described extensions of the model that can accommodate:</p><ul><li>Retention time shifts</li><li>Peak shape variations</li><li>Additional flexibility without losing uniqueness properties</li></ul><h3><strong>Quantitative Results</strong></h3><p>The team applied a seven-component model to the complete dataset containing 24 GC×GC-VUV measurements.</p><p>The decomposition extracted seven characteristic VUV spectra, which were compared against the IFPEN in-house spectral library. The extracted spectra matched known petrochemical group signatures very well.</p><p>The resolved components included:</p><ul><li>Two monoaromatic components</li><li>Two diaromatic components</li><li>Additional petrochemical group patterns</li></ul><p>For quantitative evaluation, chemically related components were grouped together.</p><h4><strong>Reproducibility</strong></h4><p>Replicate measurements demonstrated strong quantitative reproducibility:</p><ul><li>Relative standard deviations below 10%</li><li>Consistent peak area estimation across petrochemical groups</li></ul><h4><strong>Comparison with the Template-Based Approach</strong></h4><p>The decomposition workflow showed good agreement with the existing template-based quantification strategy, with monoaromatics representing the main discrepancy requiring further investigation.</p><p>Schneider explained that the differences were likely related to relative response factor scaling used in the template-based method but not yet implemented in the decomposition workflow at the time of the presentation.</p><h4><strong>Future Development</strong></h4><p>The researchers outlined several next steps for the project:</p><ul><li>Running models on individual samples to achieve higher resolution</li><li>Resolving sulfur-containing compounds</li><li>Extracting more sample-specific differences</li><li>Automating component number selection</li><li>Investigating deviations in monoaromatic quantification</li><li>Integrating the workflow into an open-source software project</li></ul><p>The team also expressed interest in future collaboration with other researchers working on related GC×GC data analysis workflows.</p><h3><strong>Conclusion</strong></h3><p>The presented shift-invariant trilinear decomposition workflow demonstrated promising performance for automated petrochemical group analysis in GC×GC-VUV datasets. By combining robust mathematical modeling with minimal manual intervention, the method offers a simplified alternative to traditional template-based approaches while maintaining strong quantitative agreement and spectral interpretability.</p><p>The work highlights the growing role of advanced multivariate data analysis strategies in comprehensive chromatography and demonstrates how shift-aware decomposition methods can significantly improve the analysis of highly complex petrochemical datasets.</p><blockquote><p><strong>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.</strong></p></blockquote>

One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups (Paul-Albert Schneide, MDCW 2026)

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 11th 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 / William &amp; Mary</strong> and brochure by <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. MDCW / William &amp; Mary: Optimizing Solvent Selection and Data Reduction Workflows for GC×GC Fire Debris Analysis</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/P_14_O_Brien_63304669ee.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><h5><strong>What are Ignitable Liquid Residues (ILRs)?&nbsp;</strong></h5><ul><li>Chemical remains of ignitable liquids (IL) (e.g., gasoline or diesel) that did not fully burn during a fire&nbsp;</li><li>ILRs are usually petroleum-based products and contain complex mixtures of volatile chemicals, like hydrocarbons&nbsp;</li></ul><h5><strong>Forensic Analysis of ILRs&nbsp;</strong></h5><ul><li>Collection of porous materials like wood from the fire’s point of origin&nbsp;</li><li>Must be stored in airtight containers to prevent volatile ILR from evaporation&nbsp;</li><li>Passive headspace extraction onto activate charcoal strips (ACS) is used to extract ILRs from debris, and dichloromethane (DCM) is used to extracts ILRs from charcoal strips&nbsp;</li><li>Emerging is the use of two-dimensional gas chromatography – time of fight - mass spectrometry (GC×GC-TOFMS), with higher separation and resolution</li><li>Resulting chromatograms presents a pattern of peaks which can be used to identified specific type of accelerant used&nbsp;</li></ul><h5><strong>Chemometrics&nbsp;</strong></h5><ul><li>The discipline that focuses on the application of statistical and mathematical methods to analyze chemical data and extract meaningful information (Bovens, 2019)&nbsp;</li><li>Helps make sense of large datasets from analytical instruments, find pattens, and classify samples</li></ul><h4><strong>Methods</strong></h4><h5><strong>Analytical Instrumentation&nbsp;</strong></h5><ul><li>LECO corporation <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1097"><strong>BTX4D GC×GC-TOFMS</strong></a> with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1289"><strong>Paradigm Shift reverse fill-flush (RFF) flow modulator</strong></a></li></ul><h5><strong>Software&nbsp;</strong></h5><ul><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/1873"><strong>ChromaTOF Sync 2D</strong></a> (LECO corporation)&nbsp;</li><li>R Statistical Software</li></ul><h4><strong>Conclusions</strong></h4><p>This study demonstrated that the use of chemometrics can be integrated into a data processing workflow to better understand data sets and create a streamlined process. Using UMAP, patterns identified that were not originally seen in PCA lead to the preferred solvents of ILR extraction being hexane and methanol. Since UMAP allowed visualization of local and global structures, groupings of gasoline samples allowed for better analysis of solvent effect.</p><h3><strong>2. Shimadzu: Multiresidue Pesticides Analysis in Solvent Extract of Annatto (Natural Color Additive) Using </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ8050+NX"><strong>GCMSTQ8050 NX</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_06_sip_gc_043_en_95576a9ac4.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>&nbsp;Accurate and reproducible trace level quantitation of pesticides in highly pigmented complex matrix using Ultra-fast GCMSTQ8050 NX and QuEChERS extraction</li><li>Single-laboratory partial validated method for LOQ determination meeting regulatory guidelines</li><li>Ease of instrumental method optimization using GCMS Smart Pesticides Database Ver.2 from Shimadzu Corporation</li></ul><p>Annatto is an orange-red condiment and food colorant derived from the seeds of the achiote tree (Bixa Orellana) (Fig. 1). It is often used to impart a yellow to red-orange color to foods, but sometimes also for its flavor and aroma. Similar effects can be obtained by extracting some of the color and flavor principles from the seeds, which are then added to the food. Annatto and its extracts are now widely used in an artisanal or industrial scale as a coloring agent in many processed food products, such as cheeses, butter, baked goods, potatoes, snack foods, breakfast cereals, smoked fish etc. In these uses, Annatto is a natural alternative to synthetic food coloring compounds.&nbsp;</p><p>Owing to its large culinary uses and other diverse applications, use of chemical pesticides for its production in large quantities is imperative. Dye extraction process may result in concentration of pesticides and in turn contribute to adverse impact on human health when incorporated in various preparations. Hence quantitation of residual pesticides in Annatto extract becomes very important. As the oleoresin is a complex matrix, it is required to develop a rugged, sensitive and efficient method for extraction of residual pesticide and its analysis.&nbsp;</p><p>This study reports a highly sensitive method for simultaneous quantification of multiple pesticides in highly pigmented complex matrix of Annatto using modified QuEChERS[1] with triple quadrupole gas chromatography (GC-MS/MS) system.</p><h4><strong>Materials and Methods</strong></h4><p>For this study, customized reference standard mixture of most commonly observed pesticides in Annatto seeds was procured from Restek Corporation.</p><p>The calibration standards were analyzed from 0.5 to 1000 μg/L. Linearity was plotted by external standard method and using weighted regression of 1/C2. Sample was spiked at 3 levels i.e., 10, 25 and 100 μg/kg. Recovery samples were prepared in 6 replicates at each level. <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-TQ8050+NX"><strong>GCMS-TQ8050 NX</strong></a> (Fig. 2), manufactured by Shimadzu Corporation Japan, was used for quantitation. LabSolutions InsightTM was used for data processing, which helped in evaluating validation parameters with ease.</p><h4><strong>Conclusion</strong></h4><p>This study shows that the modified QuEChERS method combined with GC-MS/MS system is a reliable and efficient tool to quantify residual pesticides in Annatto extract sample. Although Annatto extract is a highly pigmented complex matrix, the modified QuEChERS method significantly reduces interference. Also, extremely sensitive Shimadzu GC-MS/MS allows trace level detection even after multifold dilution of sample. This helps in reducing contamination and enhancing ruggednessresulting in reproducible detection of analytes.</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.</p><h4><strong>Fugitive emissions of toxic VOCs&nbsp;</strong></h4><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><h4><strong>Analytical platform&nbsp;</strong></h4><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><h4><strong>Comprehensive data collection&nbsp;</strong></h4><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><h4><strong>Membrane inlet mass spectrometry&nbsp;</strong></h4><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 20, 2026

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Thermo Scientific TraceGOLD™ TG-XLBMS GC Columns

Choose Thermo Scientific TraceGOLD™ TG-XLBMS GC Column which offer a low-polarity, low-bleed column suitable for a wide range of applications.

<p><strong>Choose these columns which offer a low-polarity, low-bleed column suitable for a wide range of applications.</strong></p><h4><strong>Engineered for Superior Performance</strong></h4><ul><li>Proprietary stationary phase</li><li>Unique selectivity</li><li>Max. temperature: 340/360 °C</li></ul><h4><strong>Recommended for:</strong></h4><ul><li>Pesticides</li><li>PCB congeners</li><li>PAH's</li></ul><h4><strong>Application:</strong></h4><ul><li>Aroclor Mixes Analysis</li><li>GC/MS for PCB Congeners</li><li>GC/MS for PAHs</li><li>GC/MS for Aroclor Mixes</li></ul>

Thermo Scientific TraceGOLD™ TG-VRX GC Columns

Thermo Scientific™ TraceGOLD TG-VRX GC Columns provide good resolution and fast analysis times for volatile compounds.

<p><strong>Thermo Scientific™ TraceGOLD TG-VRX GC Columns provide good resolution and fast analysis times for volatile compounds.</strong></p><ul><li>Proprietary stationary phase</li><li>Optimized dimensions for analysis of volatile organic pollutants</li><li>Ideally suited for US EPA Methods 502.2, 524.2, 8021, and 8260</li></ul><h4><strong>Recommended for:</strong></h4><ul><li>Volatile organic pollutants</li><li>Aromatics</li></ul><h4><strong>Application:</strong></h4><ul><li>Volatile Organic Pollutants Analysis</li><li>GC/MS for US EPA Method 8021 Compounds</li></ul><h4><strong>Similar to:</strong></h4><ul><li>DB-VRX</li><li>Rtx-VRX</li></ul>

Thermo Scientific TraceGOLD™ TG-VMS GC Columns

Thermo Scientific™ TraceGOLD TG-VMS GC Columns provide good resolution and fast analysis times for volatile compounds.

<p><strong>Thermo Scientific™ TraceGOLD TG-VMS GC Columns provide good resolution and fast analysis times for volatile compounds.</strong></p><ul><li>Proprietary stationary phase</li><li>Optimized dimensions for analysis of volatile organic pollutants</li><li>Ideally suited for US EPA Method 8260B</li><li>Max. temperature: 260 °C</li></ul><h4><strong>Recommended for:</strong></h4><ul><li>Volatile organic pollutants</li></ul><h4><strong>Application:</strong></h4><ul><li>Volatile Organic Pollutants Analysis</li><li>GC/MS for US EPA Method 8260B Compounds</li></ul><h4><strong>Similar to:</strong></h4><ul><li>Rtx-VMS</li></ul>

Thermo Scientific TraceGOLD™ TG-OCP I and II GC Columns

Analyze organochlorine pesticides and herbicides with ultralow bleed, superior sensitivity, excellent peak shape using Thermo Scientific™ TraceGOLD™ TG-OCP I and TG-OCP II GC columns.

<p><strong>Analyze organochlorine pesticides and herbicides with ultralow bleed, superior sensitivity, excellent peak shape and the highest levels of reproducibility using Thermo Scientific™ TraceGOLD™ TG-OCP I and TG-OCP II gas chromatography columns.</strong></p><h4><strong>Redefining Your Expectations for Gas Chromatography:</strong></h4><ul><li>Low bleed with excellent signal-to-noise ratio, sensitivity and mass spectral integrity</li><li>Fast analysis time to facilitate full separation of chlorinated pesticides</li><li>Ideal for U.S. EPA methods 8081, 608 and CLP</li></ul><h4><strong>Proprietary Formulation Facilitates Analysis of Difficult Compounds:</strong></h4><ul><li>The acidic nature of the silanol groups prevalent within many GC columns can result in the adsorption of basic compounds, which frequently leads to peak tailing.</li><li>In TraceGOLD GC columns, basic functional groups are bonded onto the column surface to reduce the effects of tailing and improve run-to-run reproducibility and sensitivity.</li></ul><h4><strong>A Leap Forward in Column Performance with Low Bleed and Superior Inertness</strong></h4><ul><li>This low-bleed, stable column produces consistent results, and the low baseline noise enables improved limits of detection with enhanced resolution of low-level analytes.</li><li>Minimizing column bleed extends column lifetime, leading to higher productivity.</li><li>Reducing column bleed increases reproducibility of the stationary phase over time, resulting in greater run-to-run and batch-to-batch reproducibility.</li><li>Superior inertness ensures excellent peak shape and sensitivity, especially for highly active or difficult-to-analyze compounds.</li></ul><h4><strong>Recommended Use:</strong></h4><ul><li>Organochlorine pesticides</li><li>Herbicides</li></ul><h4><strong>Similar to:</strong></h4><ul><li>Rtx™-CLPesticides</li><li>Rtx™-CLPesticides2</li></ul>

Thermo Scientific TraceGOLD™ TG-OPP I and II GC Columns

Analyze organophosphorus pesticides with ultralow bleed, superior inertness, and consistent reproducibility using Thermo Scientific™ TraceGOLD™ TG-OPP I and II GC Columns.

<p><strong>Analyze organophosphorus pesticides with ultralow bleed, superior inertness, and consistent reproducibility using Thermo Scientific™ TraceGOLD™ TG-OPP I and II GC Columns. This column's low bleed delivers excellent signal-to-noise ratio, sensitivity, and mass spectral integrity. Expect full separation of organophosphorus pesticides with a fast analysis time. TraceGOLD TG-OPP I and II GC Columns are ideal for U.S. EPA methods 8141A.</strong></p><h4><strong>Redefines Expectations for Gas Chromatography:</strong></h4><ul><li>Low bleed, delivering excellent signal-to-noise ratio, sensitivity and mass spectral integrity.</li><li>Fast analysis time, facilitating full separation of organophosphorus pesticides.</li><li>Ideal for U.S. EPA methods 8141A</li></ul><h4><strong>A Leap Forward in Column Performance with Low Bleed and Superior Inertness</strong></h4><ul><li>This low-bleed, stable column produces consistent results, and the low baseline noise enables improved limits of detection with enhanced resolution of low-level analytes.</li><li>Minimizing column bleed extends column lifetime, leading to higher productivity.</li><li>Reducing column bleed increases reproducibility of the stationary phase over time, resulting in greater run-to-run and batch-to-batch reproducibility.</li><li>Superior inertness ensures excellent peak shape and sensitivity, especially for highly active or difficult-to-analyze compounds.</li></ul><h4><strong>Recommended Use:</strong></h4><ul><li>GC/MS for Organophosphorus Pesticides</li></ul><h4><strong>Similar to:</strong></h4><ul><li>Rtx™-OPPesticides</li><li>Rtx™-OPPesticides2</li></ul>

Thermo Scientific TraceGOLD™ TG-PAH GC Columns

Use these thermally stable TraceGOLD TG-PAH GC columns for fast analysis of regulated polycyclic aromatic hydrocarbons (PAHs) in complex food and environmental samples.

<p><strong>Perform rapid analysis of regulated PAHs such as persistent organic pollutants (POPs) in complex food and environmental samples using Thermo Scientific™ TraceGOLD™ TG-PAH GC columns.&nbsp;</strong></p><p>High selectivity and maximum resolution of this capillary silica based column, combined with its unique bonded chemistry, ensure accurate separation of isobaric compounds even at very low concentration levels. The TraceGOLD TG-PAH GC column is regarded as highly robust due to the exceptionally high thermal stability and long life time. Sensitivity is of paramount importance in meeting regulatory standards in the challenging trace analysis.</p><p>Designed for high resolution analysis of polycyclic aromatic hydrocarbons (<strong>PAHs</strong>) in <strong>complex food and environmental samples</strong>.</p><h4><strong>Key benefits</strong></h4><ul><li>Fast analysis of regulated PAHs</li><li>Maximize resolution for critical isobaric PAHs</li><li>Max. temperature of 360°C</li><li>Low column bleed</li></ul>

Thermo Scientific Trace™ TR-1 GC Columns

Use Thermo Scientific Trace™ TR-1 non-polar GC column for method development and analysis of chlorinated and nitroaromatic compounds and environmental samples.

<p><strong>Use the Thermo Scientific™ TRACE™ TR-1 GC column for method development and chlorinated and nitroaromatic compounds and environmental analyses.&nbsp;</strong></p><ul><li>These non-polar phase, 100% dimethyl polysiloxane gas chromatography columns have a high operating temperature.</li><li><strong>Max. temperature: </strong>340/360 °C</li><li><strong>USP Type: </strong>G1, G2, G38</li></ul>

Thermo Scientific Trace™ TR-1MS GC Columns

Use Thermo Scientific Trace™ TR-1MS low bleed nonpolar column for GC/MS environmental analyses that require high temperature and an inert phase.

<p><strong>With low bleed and a maximum operating temperature of 340–360°C, the Thermo Scientific™ TRACE™ TR-1MS column is ideal for all GC/MS applications. The column is particularly well suited for applications such as GC/MS environmental analyses, which require an inert phase that can operate at high temperature.</strong></p><h4><strong>Engineered for Superior Performance:</strong></h4><ul><li>Nonpolar phase, 100% dimethyl polysiloxane</li><li>High operating temperature</li><li>Inert phase suited for environmental analyses</li></ul><h4><strong>Excellent Quality and Reproducibility:</strong></h4><ul><li>Low bleed even at elevated temperatures</li><li>Outstanding robustness for difficult separations</li><li>Reliable and reproducible performance</li></ul><h4><strong>Applications:</strong></h4><ul><li>Chlorinated and nitroaromatic compounds</li><li>GC/MS environmental analyses</li></ul><h4><strong>Recommended For:</strong></h4><ul><li>Phthalates</li><li>Polymers</li><li>Total recoverable petroleum hydrocarbons (TRPHs)</li></ul><h4><strong>Alternative Uses:</strong></h4><ul><li>Chlorinated Aromatics</li><li>Organochlorine Pesticides</li><li>Organophosphorous Pesticides</li><li>PAHs</li><li>Paraffins</li><li>Polywax</li><li>Pyrethroids</li><li>Semivolatiles</li><li>Xylenes</li></ul><h4><strong>Similar To:</strong></h4><ul><li>DB-1</li><li>DB-Petro</li><li>BP1</li><li>HP-1</li><li>HP-1MS</li><li>Rtx™-1</li><li>Ultra-1</li><li>SPB™-1</li><li>SPB™-1 Sulfur</li><li>Petrocol™ DH</li><li>CP-Sil 5CB</li><li>RSL-150</li><li>RSL-160</li><li>ZB-1</li><li>CB-1</li><li>OV™-1</li><li>PE-1</li><li>007-1(MS)</li><li>SP™-2100</li><li>SE-30</li><li>RH-1</li><li>CC-1</li><li>CP-Sil 5CB MS</li><li>VF-1ms</li></ul>

Thermo Scientific Trace™ TR-5 GC Columns

Choose these excellent starting Thermo Scientific Trace™ TR-5 GC Columns for method development, capable of performing most required separations.

<p><strong>Excellent starting columns for method development,Thermo Scientific™ TRACE™ TR-5 GC Columns are capable of performing most required separations.</strong></p><ul><li>Nonpolar phase, 5% phenyl methyl polysiloxane</li><li>High operating temperature and extremely low-bleed</li><li>Widely used in a variety of applications</li></ul><h4><strong>Recommended For:</strong></h4><ul><li>Alcohols</li><li>Free fatty acids</li><li>Aromatics</li><li>Flavors</li><li>Low polarity pesticides</li></ul><h4><strong>Similar To:</strong></h4><ul><li>DB-5</li><li>BP5</li><li>Rtx-5</li><li>HP-5</li><li>Ultra-2</li><li>PTE-5</li><li>SPB5</li><li>MDN-5</li><li>CP-Sil 8CB</li><li>SPB-5</li><li>AT-5</li><li>ZB-5</li><li>007-2(MPS-5)</li><li>SE-52, SE-54</li></ul>

Thermo Scientific TracePLOT™ TG-BOND Q GC Columns

Achieve consistent, reproducible separation of CO2, methane and 02/N2/CO with Thermo Scientific™ TracePLOT TG-BOND Q GC columns 

<p><strong>Achieve consistent, reproducible separation of CO2, methane and 02/N2/CO. Thermo Scientific™ TracePLOT TG-BOND Q GC columns deliver high performance and unsurpassed stability.&nbsp;</strong></p><p>The columns use a nonpolar, 100% divinyl benzene phase, and the particles are incorporated into the walls of the tubing for essentially no particle release. This strong bonding helps prevent damage to detection systems.</p><h4><strong>Applications:</strong></h4><ul><li>C1 to C3 isomers and alkanes up to C12</li><li>Separation of CO2, methane and O2/N2/CO</li><li>Analysis of oxygenated compounds and solvents</li></ul><h4><strong>Similar To:</strong></h4><ul><li>CP-PoraPLOT Q</li><li>Rt™-Q-BOND</li><li>CP-PoraBond Q</li><li>Supel-Q™-Plot</li><li>AT™-Q</li></ul>

Products from category Non-polar GC columns focused on Consumables from Thermo Fisher Scientific - page 1

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