EU Regulation 396/2005: Pesticide Residue Testing and the Critical Role of QuEChERS Evaporation in Food Safety

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 4th 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 / JEOL</strong> and technical note by <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. MDCW / JEOL: Flow-Modulated GCxGC-QMS Analysis Without Splitting Off the GC Flow</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_16_Jensen_11e29d5022.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>This presentation by Kirk Jensen (JEOL USA) explores the feasibility of performing <strong>flow-modulated comprehensive two-dimensional gas chromatography (GC×GC) coupled with quadrupole mass spectrometry (QMS)</strong> without splitting the GC flow, which is traditionally required to protect MS systems from high carrier gas flows. The core concept builds on GC×GC, where compounds are separated using a primary and secondary column connected via a modulator, significantly increasing separation power compared to one-dimensional GC. The presentation contrasts <strong>thermal modulation</strong> (offering sharper peaks and higher theoretical sensitivity but requiring cryogenic cooling) with <strong>flow modulation</strong>, which avoids cryogens, handles volatile analytes well, and is more flexible, but typically demands higher gas flows that standard MS systems cannot tolerate .</p><p>To address this limitation, the study utilizes the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=24&amp;search=JMS-Q1600GC"><strong>JEOL JMS-Q1600GC</strong></a><strong> UltraQuad quadrupole GC-MS system</strong>, which can accept unusually high carrier gas flows (up to ~20 mL/min), enabling direct coupling with a <strong>SepSolve INSIGHT flow modulator</strong> without splitting the effluent . The analytical setup includes dual GC columns (e.g., Zebron ZB-5MSplus for the first dimension and BPX50 for the second), high secondary flow rates (~25 mL/min), and electron ionization (EI) MS detection. Additional system components include optional FID detection, bleed line control, and ChromeSpace software for data processing . This configuration allows full analyte transfer into the MS, eliminating the need for flow splitting and potentially improving detection efficiency.</p><p>Experimental results demonstrate the applicability of this approach to complex mixtures, including a <strong>pesticide mixture containing over 200 compounds</strong> and real-world samples such as perfumes and fuels. The GC×GC-MS system produced detailed two-dimensional chromatograms with high spectral quality, enabling the correct identification of approximately 120 compounds despite relatively moderate spectral match factors . Comparisons at different flow rates (e.g., 25 vs. 50 mL/min) showed that spectral integrity and compound identification remain robust, indicating that higher flow operation does not significantly compromise MS performance.</p><p>In conclusion, the work demonstrates that <strong>flow-modulated GC×GC-QMS without flow splitting is feasible</strong>, provided that the MS system can tolerate high carrier gas flows. While further optimization is needed (e.g., column selection, inlet pressure, and separation conditions), the approach offers a practical alternative to thermal modulation by eliminating cryogens and simplifying operation. Future work will focus on improving sensitivity, optimizing separations, and exploring alternative carrier gases such as hydrogen to reduce costs and expand applicability</p></div></div></div></div></div></div></section><h3><strong>2. Shimadzu: Detailed Hydrocarbon Analysis by Nexis GC-2030 Using ASTM D6730</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_00863_en_eb633bc741.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>Detailed compositional analysis of gasoline in accordance with ASTM D6730 is feasible using the Nexis GC-2030.&nbsp;</li><li>By employing PONAsolution, a PONA/DHA analysis software, laborious identification tasks can be reduced, and quantitation calculations and report generation can be performed automatically.</li></ul><p>ASTM D6730 specifies the analysis of hydrocarbons in gasoline and oxygenates such as ethanol, methyl tert-butyl ether (MTBE), and ethyl tert-butyl ether (ETBE) over a boiling point range up to 225 ̊C. Identification and quantification of individual compounds in gasoline are critically important for refinery process control and product quality assurance. In this application news, we report compositional analysis of gasoline conforming to ASTM D6730 using the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexis+GC-2030"><strong>Nexis GC-2030 gas chromatograph</strong></a>. Gasoline typically comprises over 100 hydrocarbons, making identification tasks highly complex; however, PONAsolution, a PONA/DHA analysissoftware,simplifies this process.</p><h4><strong>PONAsolution</strong></h4><p>PONAsolution Ver.6 provides retention index libraries for each relevant standard (ASTM D6730, D6729, D5134, D6733). Identification of n-alkanes automatically corrects the retention times of the remaining several hundred components, thus streamlining the identification process. When only a specific retention region requires adjustment, the two-point identification function is useful (Fig. 1). In the two-point identification procedure, reference and sample chromatograms are compared while assigning corresponding peaks. First, click on an identified component mark in the reference data (Fig. 1, a), then click the matching sample peak (Fig. 1, b). Repeat this for a second pair of peaks. The retention times of components between these two anchor points are then automatically corrected.</p><h4><strong>Conclusion</strong></h4><p>Compositional analysis of gasoline in accordance with ASTM D6730 was performed. The combination of SH PONA Tuning Column and SH-1 PONA main column enabled separation of compounds with closely spaced retention times. Moreover, use of PONAsolution software greatly simplifies complex identification tasks.</p><h3><strong>3. Thermo Fisher Scientific: Fiber optic probes add flexibility to Raman chemical analysis</strong></h3><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/drx3_flex_tech_note_tn54708_bebb56b870.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Fourier Transform Infrared Spectroscopy (FTIR) and Raman Spectroscopy are non-destructive analytical techniques that rely on the interaction of electromagnetic radiation with molecular vibrations to provide information about the chemical composition and structure of a sample. Despite their similarities, there are some distinct differences between the two techniques. In principle, FTIR is based on the absorption of infrared radiation by molecules and measures changes in dipole moment during molecular vibrations. Raman spectroscopy, on the other hand, is based on the inelastic scattering of monochromatic light and measures changes in polarizability during molecular vibrations.&nbsp;</p><p>When applied to bulk chemical analysis, both FTIR and Raman spectroscopy can be used to analyze solids, liquids, and gases, but the nature of Raman spectroscopy lends some unique sampling advantages. Additionally, Raman often requires little to no sample preparation. Presented herein are application examples that highlight some of the sampling advantages of Raman spectroscopy. All the spectral data in this technical note were collected using a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2238"><strong>Thermo Scientific™ DXR3 Flex Raman Spectrometer</strong></a> equipped with a fiber optic probe. (Fiber optics are readily available for Raman spectroscopy because of the use of visible and NIR light and do not require the exotic materials associated with FTIR fiber optics.) Preliminary tests for all samples were carried out using both 532 nm and 785 nm excitations, and it was determined that the 785 nm laser set gave an overall better balance between fluorescence and Raman scattering efficiency.</p><h4><strong>Summary&nbsp;</strong></h4><p>In this technical note, the analyses of a variety of samples by Raman spectroscopy are demonstrated. All samples were analyzed without sample preparation.&nbsp;</p><ul><li>Precise and localized analysis at the focal point of the Raman-exciting laser allows sampling through glass bottles, blister packaging and plastic containers, which eliminates possible cross contamination and analyst exposure to hazardous materials. The contributions from the packaging and containers depend on the type of container material, the container thickness, and the materials’ chemical compositional complexity, but these contributions can be readily subtracted out when needed.&nbsp;</li><li>Water is a weak Raman scatterer. Raman therefore has reduced water sensitivity, making it a preferred technique for aqueous solution analysis over FTIR. As demonstrated in the analysis of an energy drink, the Raman bands from water can be subtracted from the spectrum of the aqueous solution, leading to the identification of the components of the solution.&nbsp;</li><li>Raman spectroscopy is well suited for the analysis of inorganic materials, especially in identifying the crystal phases and polymorphs, as demonstrated by the analyses of minerals and pigments in a painting.&nbsp;</li><li>Fiber optic probes provide flexibility and ease of maneuverability. This is particularly advantageous when analyzing samples that are difficult to access or manipulate, such as large containers, geological samples and paintings</li></ul><p>The DXR3 Flex has multiple sampling options available. A properly configured fiber-optic probe is arguably the most versatile accessory for the analysis of bulk solids and liquids. The advantages, both from those inherent to Raman spectroscopy and those resulting from the use of fiber optic probe, provide opportunities for a wide variety of different applications when using the DXR3 Flex Raman Spectrometer.</p>

News from LabRulezGCMS Library - Week 19, 2026

<p><strong>🎤Francis Femi Oloy</strong></p><p><strong>In this episode of Concentrating on Chromatography, David speaks with Francis Femi Oloy about using chromatography to uncover hidden pollutants in real-world water systems.</strong></p><p>Femi’s team analyzed polychlorinated biphenyls (PCBs) in six major rivers in southwestern Nigeria — compounds that were banned decades ago but still persist in the environment. Using a workflow that many analytical labs will recognize — liquid–liquid extraction, cleanup, rotary evaporation, nitrogen blowdown, and GC-ECD detection — they quantified 25 PCB congeners at trace levels and linked the results to ecological and human health risk.</p><h4><strong>In this conversation, we cover:</strong></h4><ul><li>Why legacy pollutants like PCBs still show up today</li><li>Choosing GC-ECD vs LC-MS for halogenated compounds</li><li>Liquid–liquid extraction and matrix cleanup strategies</li><li>Why sample concentration is critical for dilute environmental samples</li><li>How rotovap + nitrogen blowdown work together without losing volatile analytes</li><li>Seasonal trends (why wet season levels were higher)</li><li>Translating concentration data into meaningful risk assessments</li></ul><h3><strong>Video Transcription</strong></h3><section><div><div><div><div><div><div><p><strong>Persistent organic pollutants</strong> such as polychlorinated biphenyls (<strong>PCBs</strong>) remain a significant environmental concern despite decades of regulatory restrictions. In this interview, Francais Femi Oloy discusses the environmental and analytical challenges associated with monitoring PCB contamination in rivers of southwestern Nigeria, a rapidly industrializing region where urban growth, industrial activity, agriculture, and dense populations intersect with extensive aquatic systems.</p><p>Oloy explains that his interest in environmental contaminant analysis emerged from observing unexplained health problems and environmental degradation while growing up in Nigeria. This motivated his transition into organic and environmental chemistry, with a focus on identifying pollutants present in drinking water, agricultural soils, and food systems. Southwestern Nigeria, particularly the Lagos region, represents a critical environmental monitoring area due to intense industrial development, shipping activity, and widespread human dependence on rivers for domestic use, agriculture, and fishing.</p><p>Although PCBs are considered “<strong>legacy pollutants</strong>” and are no longer intentionally produced, the interview highlights why they continue to persist in aquatic environments. Old electrical transformers and aging industrial equipment still contain PCB residues, while historical contamination stored in river sediments can become remobilized during flooding, dredging, or sediment disturbance. Because PCBs are hydrophobic and resistant to degradation, they preferentially accumulate in sediments and bioaccumulate through aquatic food chains, creating long-term environmental and human exposure risks.</p><p>A major focus of the discussion centers on the analytical workflow used for PCB determination in environmental water samples. Composite river water samples were collected in amber glass bottles to avoid contamination and photodegradation, preserved with sodium azide to minimize microbial activity, and stored under cooled conditions prior to extraction. The analytical protocol employed <strong>liquid–liquid extraction</strong> using dichloromethane (DCM) and hexane to recover both polar and nonpolar PCB congeners. Oloy emphasizes that liquid–liquid extraction was selected over solid-phase extraction (SPE) because of concerns about congener retention within sorbent materials and clogging issues associated with large-volume environmental samples.</p><p>Following extraction, concentration and cleanup represented critical analytical stages due to the trace-level occurrence and volatility of PCBs. Silica and alumina cleanup procedures were used to remove matrix interferences prior to instrumental analysis. The concentration workflow combined rotary evaporation for bulk solvent reduction with nitrogen blowdown for final volume reduction to less than 1 mL, while carefully avoiding excessive temperature or complete dryness to minimize analyte loss. Oloy repeatedly stresses that improper concentration procedures are among the most common causes of analytical failure in PCB analysis.</p><p>For instrumental determination, the study utilized <strong>gas chromatography coupled with electron capture detection (GC-ECD)</strong> rather than LC-MS or GC-MS. According to Oloy, GC was preferred because PCBs are sufficiently volatile for gas chromatographic separation, while ECD provided superior sensitivity and selectivity for chlorinated compounds at environmentally relevant concentrations. The interview also discusses analytical validation strategies, including the use of surrogate standards to assess <strong>recoveries,</strong> which ranged from approximately <strong>85% to 114%</strong>, and signal-to-noise-based determination of detection limits.</p><p>The study further examined <strong>seasonal variations in PCB concentrations</strong>, revealing <strong>higher levels during the wet season</strong>. This observation was attributed to rainfall-driven runoff from contaminated infrastructure, sediment resuspension, and lower temperatures that reduce volatilization losses. To communicate toxicological relevance beyond simple concentration reporting, the researchers also calculated <strong>toxic equivalency values (TEQs)</strong>, converting mixtures of PCB congeners into biologically meaningful toxicity estimates comparable to dioxin toxicity metrics.</p><p>Beyond environmental monitoring, Oloy highlights broader research interests focused on <strong>pollutant remediation and sustainable environmental protection</strong>. His group is also involved in developing catalytic materials capable of degrading or removing persistent contaminants from environmental systems. Throughout the discussion, he emphasizes that analytical chemistry plays a central role not only in detecting pollutants, but also in enabling prevention, remediation, and long-term environmental management strategies.</p></div></div></div></div></div></div></section><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><blockquote><h4><strong>Concentrating on Chromatography Podcast</strong></h4><p>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!</p><p>You can find <strong>Concentrating on Chromatography Podcast </strong>in podcast apps:</p><ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL"><strong>Spotify</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185"><strong>Apple podcast</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography"><strong>podscan</strong></a></li></ul><p>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos"><strong>YouTube channel</strong></a></p></blockquote>

Tracking Toxic PCBs in River Water using Gas Chromatography–Electron Capture Detection

Article

Product

Application

Video

Scientists

Environment

Food

Presentation

Interview

Science and research

Laboratories

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

LabRulez

Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

Organomation

LECO ChromaTOF Identification Grading System

ChromaTOF Identification Grading System assigns confidence scores to GC×GC-HRTOFMS identifications using accurate mass, spectra, fragments, and retention indices for faster, defensible results.

<h3><strong>Bring the power of accurate mass and confidence to compound identification</strong></h3><p><strong>The LECO Identification Grading System™ (IGS™) is designed to simplify and accelerate data review by clearly indicating how confident you can be in each compound identification. By consolidating all available chemical evidence into a single, intuitive grading metric, IGS enables users to quickly justify identifications, report results with confidence, and make informed decisions on next analytical steps.</strong></p><p>IGS is tightly integrated with data generated by the Pegasus GC-HRT 4D platform and is especially powerful for non-targeted workflows, where large numbers of unknown or partially known compounds must be evaluated efficiently and objectively.</p><h3><strong>Key Features</strong></h3><p>The Identification Grading System leverages the full chemical information content produced by GC×GC-HRTOFMS to strengthen confidence in “unknown unknown” identification.</p><p><strong>Each compound identification is assigned a grade based on four independent criteria:</strong></p><ul><li>Presence and accurate mass of the molecular ion</li><li>Presence and strong spectral similarity score from a curated reference library</li><li>Accurate mass agreement of chemically reasonable fragment ion formulae associated with the library hit</li><li>Retention index agreement with the corresponding library entry</li></ul><p>The resulting numerical grade provides an immediate, transparent indicator of identification confidence—the higher the grade, the stronger the supporting evidence.</p><h3><strong>Theory of Operation</strong></h3><p>The full potential of confident identification is realized through the combined capabilities of comprehensive two-dimensional gas chromatography (GC×GC) and high-resolution time-of-flight mass spectrometry (TOFMS).</p><p>GC×GC separates co-eluting species that would otherwise interfere with spectral interpretation, producing significantly cleaner mass spectra. High-resolution TOFMS delivers accurate, unskewed mass spectra across the entire chromatographic peak, including extremely narrow second-dimension peaks. When combined with advanced deconvolution, this results in exceptionally high-quality spectral information.</p><p>Developed in response to the challenges highlighted by the U.S. EPA’s Non-Targeted Analysis Collaborative Trial (ENTACT), IGS directly addresses the time-consuming and subjective nature of traditional data review. It provides a systematic, evidence-based approach to filtering large result sets and focusing attention on the most reliable identifications.</p><h4><strong>Practical Impact in Non-Target Analysis</strong></h4><p>In GC×GC-TOFMS datasets from the EPA ENTACT challenge, unfiltered deconvolution can yield thousands of tentative identifications. Applying the IGS filter dramatically reduces this number, immediately highlighting the most confident matches and allowing analysts to focus on true unknowns with high priority.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_Identification_Grading_System_3_9b33a4d091.jpg" alt="LECO: Identification Grading System" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_Identification_Grading_System_3_9b33a4d091.jpg 245w," sizes="100vw" width="513" height="120"></p><p>In blind ENTACT samples, IGS correctly identified approximately 80% of known compounds introduced into the sample, demonstrating that the combination of GC×GC separation and high-resolution TOFMS is essential for high-confidence non-target identification.</p>

LECO ChromaTOF Sync

ChromaTOF Sync co-processes Pegasus BT GC–MS sample sets to generate a single unified peak table, enabling cleaner deconvolution, trend analysis, and confident non-target data interpretation.

<p><strong>ChromaTOF Sync is an advanced peak-finding and data alignment solution designed for sample sets acquired on LECO Pegasus BT series GC–MS systems. By extending ChromaTOF’s proven peak-finding algorithms and deconvolution capabilities, Sync enables multiple samples to be processed together, generating a single, unified peak table for the entire sample set.</strong></p><p>This collective approach allows laboratories to move beyond isolated sample evaluation toward true sample-set intelligence. Compiled chemical information supports comprehensive non-target data review, making it easier to identify similarities, differences, and trends across complex datasets.</p><h4><strong>How ChromaTOF Sync Works</strong></h4><p>The Pegasus GC–MS platform produces exceptionally information-rich datasets. However, extracting meaningful insights from large sample sets can be challenging without specialized tools. ChromaTOF Sync addresses this by co-processing BT data, leveraging shared chemical information across all samples to align peaks, refine deconvolution, and generate one consolidated peak table.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_Chroma_TOF_Sync_Analyza_dat_GC_TOFMS_1eeb398516.jpg" alt="LECO: ChromaTOF Sync" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_Chroma_TOF_Sync_Analyza_dat_GC_TOFMS_1eeb398516.jpg 245w," sizes="100vw" width="1133" height="555"></p><p>By using the full context of the dataset, Sync delivers results that are greater than the sum of individual analyses. Users benefit from cleaner deconvoluted spectra, improved peak alignment, clearer trend identification, and integrated statistical tools that accelerate confident data interpretation.</p><h4><strong>Advanced Data Processing and Visualization</strong></h4><p>ChromaTOF Sync was developed and validated using real-world experimental datasets. Retention time shifts, difficult peak shapes, and wide analyte dynamic ranges are automatically corrected and aligned, simplifying downstream review.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_Chroma_TOF_Sync_Analyza_dat_GC_TOFMS_2_aeb513cd50.jpg" alt="LECO: ChromaTOF Sync" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_Chroma_TOF_Sync_Analyza_dat_GC_TOFMS_2_aeb513cd50.jpg 245w," sizes="100vw" width="416" height="150"></p><p><strong>The interactive application interface provides:</strong></p><ul><li>Combined peak tables for the full sample set</li><li>Overlaid chromatograms for direct comparison</li><li>High-quality deconvoluted mass spectra</li><li>Interactive plots highlighting peak shape, repeatability, and trends</li><li>Spectral filters and visualization tools for monitoring chemical behavior across samples</li></ul><p>These features enable efficient exploration of complex datasets without manual reconciliation of individual files.</p>

LECO ChromaTOF® Tile analytical software

ChromaTOF Tile enables rapid, statistically robust GC×GC-TOFMS data comparison using tiled heatmaps, reducing false positives and cutting data mining from days to minutes.

<p><strong>Turn Your Data into Chemistry</strong></p><p><strong>The volume of GC×GC-TOFMS data can quickly become overwhelming. Thousands of analytes across multiple tables may require months of pixel-level data mining, often complicated by false positives caused by normal chromatographic variation.</strong></p><p><strong>ChromaTOF Tile</strong> fundamentally changes how GC×GC data are compared and interpreted. Instead of evaluating individual pixels, the software statistically compares tiled regions of chromatograms. Truly significant differences rise immediately to the surface—allowing you to focus on chemical meaning rather than data hunting.</p><blockquote><p><i>“ChromaTOF Tile is an enabling technology that has reduced our peak picking time from 10 days to 10 minutes.”</i></p></blockquote><h3><strong>Designed for Sample Group Differentiation</strong></h3><p>Integrated heatmap tables provide instant visual feedback on relative intensities and variance. ChromaTOF Tile highlights differences between two or more sample classes, including:</p><ul><li>Biomarkers distinguishing healthy vs. diseased samples</li><li>Off-odor detection in food quality control</li><li>Environmental samples upstream/downstream of contamination sources</li><li>Petroleum samples from different geographic origins</li><li>Any complex GC×GC comparison where class differentiation matters</li></ul><h3><strong>Key Features</strong></h3><ul><li><strong>Stand-alone software</strong> designed to work in conjunction with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/41"><span><strong>ChromaTOF</strong></span></a></li><li><strong>Rapid statistical comparison</strong> of GC×GC data sets</li><li><strong>Exportable tables and plots </strong>for efficient reporting</li><li><strong>Clean, library-searchable spectra generated</strong> from tiling</li><li><strong>Approximate trend quantification using</strong> tile areas</li><li><strong>Reduced false positives </strong>from chromatographic misalignment</li></ul><h3><strong>Theory of Operation</strong></h3><p><strong>The challenge:</strong> Comparing large sets of GC×GC chromatograms is slow and alignment-sensitive, often taking weeks or months even with automated tools.</p><p><strong>The solution:</strong> In collaboration with <span>Robert Synovec</span>, ChromaTOF Tile applies Fisher ratios to partition chromatograms into regions (“tiles”). Instead of pixel-by-pixel comparison, corresponding tiles are averaged and statistically evaluated.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_Chroma_TOF_Tile_analytical_software_816a8a7705.jpg" alt="LECO ChromaTOF® Tile analytical software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_Chroma_TOF_Tile_analytical_software_816a8a7705.jpg 245w," sizes="100vw" width="854" height="462"></p><p>The result is a set of intuitive heatmaps that immediately direct attention to regions of high variance and high analytical relevance—without altering the underlying data.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_Chroma_TOF_Tile_analytical_software_2_c3c8abd476.jpg" alt="LECO ChromaTOF® Tile analytical software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_Chroma_TOF_Tile_analytical_software_2_c3c8abd476.jpg 245w," sizes="100vw" width="1045" height="566"></p>

LECO ChromaTOF Software

ChromaTOF is LECO’s advanced GC and GC×GC analytical software, offering fully integrated instrument control, powerful deconvolution, and high-end qualitative and quantitative analysis for TOFMS data.

<p><strong>ChromaTOF is proprietary analytical software developed by </strong><span><strong>LECO</strong></span><strong> specifically for GC-TOFMS and GC×GC-TOFMS workflows. It is purpose-built to handle the extremely large datasets generated by time-of-flight mass spectrometers and to fully support multidimensional chromatography (GC×GC) in a single, integrated data system.</strong></p><p>ChromaTOF provides seamless instrument and accessory control, highly integrated qualitative and quantitative data processing, and an intuitive user interface. It was the first mass spectrometry data system to natively accommodate GC×GC data and remains a reference platform for advanced GC and GC×GC analysis.</p><h3><strong>What Makes ChromaTOF Unique</strong></h3><ul><li>Automatic saving of all data processing steps directly within the file system</li><li>Integrated storage and management of metadata and instrument data</li><li>All standard features included in a single software package</li><li>Built-in control for compatible options, activated only when needed</li><li>Easy-to-use yet powerful, efficient, and robust environment</li><li>Frequent updates for maintenance improvements and new functionality</li></ul><p>ChromaTOF combines advanced qualitative and quantitative capabilities in one user-friendly platform and supports both <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products?category=21&amp;manufacturerItems=24&amp;search=bt"><strong>Pegasus BT</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/38"><strong>Pegasus GC-HRT</strong></a> instrument families.</p><h3><strong>What Can ChromaTOF Do</strong></h3><ul><li>Automatic tuning with report generation</li><li>Absolute quantitation using calibration curves</li><li>Relative quantitation based on reference or analyte curves</li><li>Quantitation using single-channel detectors (FID)</li><li>Importable workspace templates to speed up setup</li><li>Spectral deconvolution with library searches (NIST, Wiley, or user libraries)</li><li>Semi-quantitative analysis of non-calibrated compounds</li><li>Integrated control of LECO and Agilent sample handling systems</li><li>Automatic export to CSV, ANDI MS, NETCDF, or LECO formats</li><li>Compatibility with liquid nitrogen and consumable-free <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/44"><strong>GC×GC thermal modulators</strong></a></li><li>GC×GC classification and method development tools</li><li>Integrated GC control</li><li>Unknown-unknown discovery using ChemSpider</li><li>Advanced calculation tools:<ul><li>Monoisotopic mass from molecular formula</li><li>Formula generation from measured mass</li><li>Required mass resolution for separating close masses</li></ul></li></ul><p><strong>Licensing options:</strong> 90-day free trial, 1-year subscription, or perpetual license.</p><h3><strong>Exclusive Features for Pegasus High-Resolution Models</strong></h3><ul><li>Automated unknown identification using High-Resolution Deconvolution</li><li>Automatic fragment formula generation with mass accuracy reporting</li><li>Accurate <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/application::paper.paper/SEP_SCI_ACCURATE_MASS_LIBRARY_209-272.pdf"><strong>Mass Spectral Libraries</strong></a> with AML Rank similarity scoring</li><li>User-scalable mass defect plots (e.g., Kendrick mass defect)</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/application::paper.paper/SPECTRAL_ANALYSIS_TOOL_SAT_209-262.pdf"><strong>Optional Spectral Analysis Tool</strong></a> with Van Krevelen and CN vs. RDBE plots</li></ul><h3><strong>Features for Pegasus Benchtop Models</strong></h3><ul><li>Automated unknown identification using Non-Target Deconvolution</li><li>Full profile mass spectra acquisition at 35 kHz with better-than-nominal resolution</li></ul>

Products focused on Software distributed by LECO Instrumente Plzeň - page 1

Related content

Tracking Toxic PCBs in River Water using Gas Chromatography–Electron Capture Detection

EU Regulation 396/2005: Pesticide Residue Testing and the Critical Role of QuEChERS Evaporation in Food Safety

News from LabRulezGCMS Library - Week 19, 2026