Join us for a free two-day LECO Separation Science Workshop on September 23–24, 2026, at the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/companies/219">C³AL Laboratory</a> at Cal State LA. Registration is free, and meals and refreshments will be provided throughout the workshop.&nbsp;<h4>Registration</h4><blockquote>👉<a target="_blank" rel="noopener noreferrer" href="https://forms.cloud.microsoft/pages/responsepage.aspx?id=iYeNbqIuykW7qZP4_jUEVbznDB40eK1PgjPzhHyb__9URTFTTFA5UEEzQ1A4MUtFV0o4TEJTNlZCOS4u&amp;route=shorturl">Register HERE</a>Space is limited, register today!<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/LECO_LECO_Separation_Science_Workshop_registration_332543a18e.jpg" alt="LECO: LECO Separation Science Workshop - QR code for registration" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_LECO_LECO_Separation_Science_Workshop_registration_332543a18e.jpg 156w," sizes="100vw" width="437" height="437"></blockquote><h4>Hand-on Experience with the LECO Complex Chemical Composition Analysis Lab C3AL</h4><ul><li>Work directly with LECO instruments in the C3AL Laboratory</li><li>Learn complete analytical workflows from sample to answer</li><li>Get expert guidance from LECO application scientists</li><li>Develop methods and solve real-world challenges</li><li>Collaborate, ask questions, and build your skills</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Cal_State_LA_The_LECO_Pegasus_BTX_system_in_Cal_State_LA_s_LECO_Complex_Chemical_Compositional_Analysis_Lab_enhances_research_and_student_training_in_advanced_chemical_analysis_cover_b739e727ca.jpg" alt="Cal State LA: The LECO Pegasus BTX system in Cal State LA’s LECO Complex Chemical Compositional Analysis Lab enhances research and student training in advanced chemical analysis" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Cal_State_LA_The_LECO_Pegasus_BTX_system_in_Cal_State_LA_s_LECO_Complex_Chemical_Compositional_Analysis_Lab_enhances_research_and_student_training_in_advanced_chemical_analysis_cover_b739e727ca.jpg 227w," sizes="100vw" width="1252" height="863">The first day will focus on the fundamentals and theory of comprehensive two-dimensional gas chromatography (GC×GC), with an emphasis on understanding how GC×GC can enhance your research, solve complex analytical challenges, and support your laboratory or company goals.&nbsp;The second day will be dedicated to hands-on activities, giving participants the opportunity to work directly with LECO instrumentation, learn practical analytical workflows, and analyze their own samples with guidance from LECO application scientists.&nbsp;Whether you are new to GC×GC or looking to expand its use in your research or organization, this workshop offers a unique opportunity to learn, explore, and apply the technology in a practical setting. Space is limited, so register early!<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Cal_State_LA_LECO_QUADJET_G_Cx_GC_coupled_to_Pegasus_BT_4_D_TOM_MS_in_the_Complex_Chemical_Composition_Analysis_Lab_C_AL_077a14ae34/Cal-State-LA-LECO-QUADJET-GCxGC-coupled-to-Pegasus-BT-4D-TOM-MS-in-the-Complex-Chemical-Composition-Analysis-Lab-(CAL).jpg" alt="Cal State LA: LECO QUADJET GCxGC coupled to Pegasus BT 4D TOM MS in the Complex Chemical Composition Analysis Lab (C³AL)" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Cal_State_LA_LECO_QUADJET_G_Cx_GC_coupled_to_Pegasus_BT_4_D_TOM_MS_in_the_Complex_Chemical_Composition_Analysis_Lab_C_AL_077a14ae34/thumbnail_Cal-State-LA-LECO-QUADJET-GCxGC-coupled-to-Pegasus-BT-4D-TOM-MS-in-the-Complex-Chemical-Composition-Analysis-Lab-(CAL).jpg 234w," sizes="100vw" width="1949" height="1299">

LECO Separation Science Workshop

This study presents a robust GC-MS method for direct detection and quantification of hydrogen in complex gas mixtures using electron ionization without dopants, reagent gases, or ion–molecule reactions. A modified EI source combined with a cryogenically cooled single capillary column achieved baseline separation of hydrogen from permanent gases and hydrocarbons in refinery gas while using helium as the carrier gas.The method demonstrated high sensitivity, linearity, and reproducibility across trace- and percent-level hydrogen concentrations. By simultaneously profiling other gas components in a single run, the approach simplifies conventional multi-column workflows and extends GC-MS capabilities for hydrogen analysis in complex industrial gas mixtures.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/ancham/article/98/26/19493/5200102/Hydrogen-Analysis-by-Gas-Chromatography-Mass#247324328">Hydrogen Analysis by Gas Chromatography–Mass Spectrometry&nbsp;</a></h4>Vladislav V. Lobodin* ; Yensil Park; Charles E. A. FinneyAnal. Chem. (2026) 98 (26): 19493–19499.<div><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.6c00257">https://doi.org/10.1021/acs.analchem.6c00257</a></div><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.<div><div><div><div>Hydrogen analysis in complex gas mixtures, including permanent gases, and volatile and semivolatile organic and inorganic compounds, is crucial for optimizing hydrogen production, storage and use, and ensuring reliability across diverse applications. Accurate hydrogen analysis underpins production and distribution processes such as steam methane reforming, gasification, and electrolysis, helping maintain purity and quality throughout the supply chain. (<a href="javascript:;">1</a>) Reliable hydrogen measurements are also critical for fuel cell power generation, where automotive manufacturers and fueling stations must meet strict fuel quality standards to ensure safety and performance. (<a href="javascript:;">2, 3</a>) Hydrogen is a flammable, colorless, and odorless gas that poses significant hazards in air at levels between 4 and 74%. (<a href="javascript:;">4, 5</a>)</div><div>Many industrial processes, including chemicals and petrochemicals, steel manufacturing, glass production, and electronics, depend on precise hydrogen measurements for process control, quality assurance, and energy efficiency. (<a href="javascript:;">6−9</a>) Beyond these established uses, hydrogen analysis plays a vital role in energy storage, power generation, and utilization as a fuel for transportation and grid applications (e.g., power-to-gas and sustainable integration), with monitoring required to maintain the integrity and safety of stored and injected hydrogen. (<a href="javascript:;">10, 11</a>) It is also essential for environmental monitoring, including leak detection, emissions control, (<a href="javascript:;">5, 12</a>) and geological exploration of natural hydrogen sources. (<a href="javascript:;">13−15</a>) In the aerospace industry, hydrogen analysis ensures its safe handling and optimal performance of hydrogen as a fuel or propellant. (<a href="javascript:;">16−18</a>) In addition, forensic studies also rely on hydrogen measurements to provide critical evidence in criminal investigations and legal cases. (<a href="javascript:;">19, 20</a>)</div><div>A GC coupled to thermal conductivity detector (TCD) continues to be a common method of choice for hydrogen analysis despite the detector limitations. (<a href="javascript:;">21, 22</a>) However, the use of helium as a carrier gas, despite being the most popular choice, results in complications with a TCD because the thermal conductivity for hydrogen and helium is very close and hydrogen produces a relatively low and nonlinear response. To avoid the hydrogen–helium interference, argon or nitrogen is used as the carrier gas with a TCD. However, the use of those gases compromises chromatographic resolution, significantly reduces sensitivity for the other compounds by a factor of ∼10, and can interfere with the detection of other analytes.</div><div>Besides a TCD, a helium ionization detector (HID) and an atomic emission detector (AED) are utilized by coupling to a GC to analyze hydrogen. (<a href="javascript:;">23, 24</a>) As in the case of a TCD, these detectors suffer from limitations and more importantly are not informative enough for identification of unknown chromatographic peaks during the hydrogen production development. Raman spectroscopy can detect low hydrogen concentrations but suffers from low sensitivity, complex setups, and long measurement times. Commercial systems have high detection limits and reduced precision over time, limiting practicality for dynamic or in-line applications. (<a href="javascript:;">25, 26</a>)</div><div>In contrast, GC coupled to MS serves as a powerful tool for both qualitative and quantitative analysis of various compound mixtures. (<a href="javascript:;">27</a>) Nonetheless, it has been reported that GC–MS faces challenges due to the difficulties of detecting lighter gases relative to the carrier gas (<a href="javascript:;">28, 29</a>) and direct EI in the absence of a dopant and ion–molecule reactions has been considered an impossible task. (<a href="javascript:;">29</a>)</div><div>Chromatographic analysis of hydrogen typically involved a dual-column setup to effectively separate it from other gases like O2, N2, CO, CO2, CH4, and various volatile hydrocarbons. These setups often used packed columns or molecular sieves PLOT columns, which additionally necessitated a particle trap on the detector side to block sorbent particles from entering the mass spectrometer’s ion source. (<a href="javascript:;">30, 31</a>)</div><div>In the present study, we report the development of a novel method for hydrogen analysis that employs direct EI of hydrogen and a simplified column configuration with a single capillary column. This approach is capable of detecting hydrogen across a broad concentration range, including trace levels in complex matrices. Importantly, our method also delivers compositional information for other gases in a single run, which can provide valuable context for many applications, thereby providing a significant advancement in hydrogen analysis methodology.<h4>Experimental Part</h4>The development of the method for hydrogen analysis was conducted with a GC–MS instrument employing an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7890B">Agilent 7890B GC</a> system and an Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B">5977B mass spectrometer</a> (Agilent Technologies, Santa Clara, CA). The GC system was modified with a liquid N2 cryogenic valve kit (Agilent G3466A) to enable operation at low temperatures and liquid N2 (supplied from a Dewar) was used to cool the GC oven. Chromatography-grade helium with a purity of 99.9999% from Airgas (Radnor, PA) additionally passed through a helium purifier trap (model RMSH-2) from Agilent Technologies at a flow rate of 2.0 mL·min–1 was used as a carrier gas. The gas chromatograph inlet temperature was set to 200 °C. The GC oven temperature was programmed to hold at −80 °C for 2 min, subsequently ramped to 260 °C at 20 °C·min–1, and then held for 17 min. The transfer line was kept at 260 °C. A GS-GASPRO GC column (60 m long, 320 μm ID) from Agilent Technologies was used for chromatographic separation. The ion source was held at 230 °C. The EI ion source was modified by replacing a standard (350 G) magnet with a low-gauss magnet (220 G) assembly (Agilent part: G3163-60560). The hydrogen tune macros were procured from Diablo Analytical (Antioch, CA) and are described elsewhere. (<a href="javascript:;">32</a>) Both selected ion monitoring (SIM) and scan modes (recorded as a total ion chromatogram [TIC]) were utilized for detection of hydrogen and other gases. In particular, hydrogen detection was performed using SIM mode at a mass-to-charge ratio (m/z) of 2.<h4>Results and Discussion</h4><div>Here, we describe the development of a new hydrogen analysis approach that utilizes direct EI and selective detection at m/z = 2. Because the conventional EI source magnetic field is optimized to confine and focus electrons for ionization of species with m/z ≥ 10, this configuration is suboptimal for hydrogen, resulting in limited ionization efficiency and inefficient extraction of low-mass ions. The modification of the EI ion source with a low-gauss magnet is necessary to improve the formation and detection of H2+ ions. Reduction of the magnetic field strength decreases confinement of ionizing electrons emitted by the filament, thereby increasing the effective interaction volume and residence time of electrons with hydrogen molecules and enhancing ionization probability. In addition, the reduced magnetic field mitigates discrimination against low-mass ions during extraction and transmission into the mass analyzer. Collectively, these effects enhance sensitivity for H2 detection under EI conditions, eliminating the need for chemical ionization or indirect detection strategies.</div><div>In addition to the specialized hardware, custom low-mass optimization tune macros are required to achieve reliable sensitivity. We used tune macros from a hydrogen detection kit developed for Agilent MSD instruments that had been converted into standalone RGA-type mass analyzers. (<a href="javascript:;">32</a>) The tuning and mass-calibration procedure began with a low-mass autotune (lomass.u), followed by a helium optimization tune that used the helium carrier gas flowing through the column into the ion source as the tuning mixture. The optimization tune adjusts key ion–optics parameters, including repeller voltage, ion focus, electron energy, emission current, and entrance lens offset to maximize the response at m/z = 4. Additionally, ions at m/z = 69, 131, and 219 from the instrument’s calibration compound (PFTBA) were used to calibrate the mass axis, adjust the electron multiplier voltage, and set appropriate peak widths.<div>The mass spectrometry detection method involved simultaneous acquisition in SIM mode at m/z = 2 for hydrogen detection, and scan mode (at 2.4 scans s–1) within the range of m/z = 10–160 for other gases. Attempts to scan from m/z = 1.6 to 160 and subsequently extract the ion chromatogram at m/z = 2 resulted in a significantly lower signal response for hydrogen detection. Detection of hydrogen in SIM mode at m/z = 2 significantly improves the signal-to-noise (S/N) ratio and detection limit. The dwell time (the time during which the quadrupole is set at m/z = 2) was adjusted to 100 ms to enhance sensitivity. The high-resolution quadrupole settings (with peak width of 0.5 m/z) further improved S/N ratio by a factor of 2.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_26_19493_19499_Figure_1_GC_MS_analysis_of_hydrogen_standard_gas_mixtures_9439c835f2.jpg" alt="Anal. Chem. (2026) 98 (26): 19493–19499: Figure 1. GC–MS analysis of hydrogen standard gas mixtures. Upper figures show scans from m/z = 10–160, and lower figures show detection at m/z = 2. Left: 5% (50000 ppm) H2. Right: 5000 ppm of H2. Nitrogen is a balance gas." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_26_19493_19499_Figure_1_GC_MS_analysis_of_hydrogen_standard_gas_mixtures_9439c835f2.jpg 245w," sizes="100vw" width="1600" height="1022"></div><div>Standalone mass spectrometers (without GC) are often employed as RGAs, including for hydrogen detection. However, the absence of chromatographic separation limits reliable hydrogen quantification and comprehensive characterization of other species in a mixture. Furthermore, quadrupole mass spectrometers, commonly used both as RGAs and in GC–MS configurations, are subject to the “zero-blast” effect. (<a href="javascript:;">35</a>) This occurs when low DC voltage and RF amplitudes at low m/z are insufficient to prevent heavier ions from reaching the detector, leading to false signals in the low m/z range up to m/z = 4, even in the absence of corresponding low molecular weight analytes such as H2 or He. (<a href="javascript:;">36</a>) The “zero-blast” effect is particularly noticeable when measuring low levels of hydrogen amidst significantly higher concentrations of heavier gases, e.g., N2, O2, CO, Ar, CO2, H2O, hydrocarbons. This interference, which fluctuates constantly, makes the detection and resolution of hydrogen peaks at m/z = 2 highly challenging. <a href="javascript:;">Figure 1</a> shows the GC–MS analysis of two standard gas mixtures containing 50000 and 5000 ppm hydrogen with nitrogen as the balance gas. The injected sample volume was 250 μL, and the split ratio was 20:1. The upper plots display total ion chromatograms for the mass range m/z = 10–160, where the peak at 4.1 min corresponds to N2. The lower plots show extracted ion chromatograms at m/z = 2, where the peak at 3.4 min represents H2, while the peak at 4.1 min, matching the nitrogen elution time, is a false signal caused by the “zero-blast” effect. This interference is especially pronounced at lower hydrogen concentrations and would significantly affect quantitation in the absence of chromatographic resolution. By separating hydrogen into a distinct chromatographic peak with GC–MS, the “zero-blast” interference can be minimized. Therefore, efficient chromatographic separation of hydrogen from other gases is essential for reliable detection and quantification.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_26_19493_19499_Figure_4_GC_MS_analysis_of_refinery_gas_mixture_2977041c4b.jpg" alt="Anal. Chem. (2026) 98 (26): 19493–19499: Figure 4. GC–MS analysis of refinery gas mixture. Top. TIC for m/z = 10–160. Bottom. SIM at m/z = 2." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_26_19493_19499_Figure_4_GC_MS_analysis_of_refinery_gas_mixture_2977041c4b.jpg 226w," sizes="100vw" width="1600" height="1104"><a href="javascript:;">Figure 4</a> presents the gas chromatographic separation and mass spectrometric detection of a refinery gas test mixture using a combined scan (m/z = 10–160) and SIM (m/z = 2) acquisition mode. The total ion chromatogram (top panel) demonstrates excellent baseline separation of all major permanent gases and hydrocarbons, including O2, N2, CO, CH4, CO2, C2H4, C2H6, propane, propylene, n-butane, iso-butane, and various C5 isomers. Notably, even isobaric species such as N2, CO, and C2H4, each with nominal mass of 28 Da, are fully resolved chromatographically, enabling accurate identification and quantitation despite their identical molecular weights.The SIM trace at m/z = 2 (bottom panel) highlights the selective detection of hydrogen. One of the most critical regions for hydrogen separation is between 2 and 7 min, where H2 elutes well before O2, N2, CO, and CH4. This complete chromatographic resolution effectively eliminates interference from the quadrupole “zero-blast” effect and suppresses false low-mass signals that typically arise from high concentrations of heavier gases, thereby ensuring reliable and interference-free quantitation of hydrogen. The combination of efficient separation and SIM-based detection provides a robust analytical platform for accurate measurement of hydrogen in complex gas mixtures.</div></div><h4>Conclusions</h4>We successfully developed and validated a robust GC–MS method capable of directly detecting and quantifying hydrogen using EI without the need for dopants, reagent gases, or ion–molecule reaction schemes traditionally required for low-mass. By integrating specialized low-mass tuning procedures, a modified EI source, and a cryogenically cooled single-capillary column, we achieved efficient baseline chromatographic separation of hydrogen from other permanent gases, hydrocarbons, and isobaric species in complex gas mixtures. This separation was essential to eliminate false low-mass signals originating from the quadrupole “zero-blast” effect, and provided accurate, interference-free hydrogen quantitation. The method demonstrated high sensitivity and selectivity across more than 3 orders of magnitude concentration ranges from 5 to 5000 ppm, with excellent linearity (R2 = 0.9999). The combination of adjustable sample-loop volumes and tunable split ratios allowed optimization of peak shape and signal-to-noise performance for both trace-level and percent-level hydrogen concentrations. Triplicate analyses showed exceptional reproducibility, with variability below 1%, confirming suitability of the sampling approach for reliable quantitative analysis. Importantly, this approach provides simultaneous compositional information for a wide range of gases in a single analytical run, enabling comprehensive characterization of complex mixtures. This capability is particularly valuable for hydrogen production, storage, fuel-quality monitoring, geologic hydrogen exploration, industrial process control, safety and forensic applications, and environmental assessments where hydrogen must be measured alongside a panel of other gases.</div></div></div></div>

Hydrogen Analysis by Gas Chromatography–Mass Spectrometry

In the week of August 24, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 500 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Thermo Fisher Scientific: From legacy to leading edge: unlock more uptime, throughput, and confidence with modern GC-MS technology</h5><ul><li>Tu, 25.8.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6457">Registration</a></li></ul>Discover how upgrading legacy GC-MS systems to the Thermo Scientific ISQ 7610 GC-MS and TSQ 9610 GC-MS/MS can improve performance, simplify maintenance, and reduce operating costs.<h5>2. Waters Corporation: Foundations of a Sustainable, High-Performing QA Program</h5><ul><li>We, 26.8.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/6448">Registration</a></li></ul>Build a sustainable, high-performing QA program in your lab. Learn the four pillars of data quality: method validation, analyst competency, control charting, and certified reference materials.

Webinars LabRulezGCMS Week 35/2026

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In 1936, the Laboratory Equipment Company introduced the first rapid carbon determinator for the American iron and steel industry.  Today, almost 80 years later, LECO is recognized globally as a leader in the development of high-quality analytical instrumentation, mass spectrometers, comprehensive two-dimensional chromatography, metallography & optical equipment as well as consumables.

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Separation Science

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Spectroscopy & Separation Science

Around 20 years ago &#39;superfood&#39; started to be used as a marketing tool for selling specific foods, dietary supplements and food additives. Although there is no exact definition of superfoods, one can be classified as food considered exceptionally good for one’s health and for boosting the immune system. In the past few years chia seeds became one of the most popular superfoods. As a result of the rapidly increasing demand for superfoods, the market is flooded with counterfeits. In bakery products more expensive chia seeds are often replaced by cheaper flaxseed.
The aim of this study was to evaluate the metabolomic profile of chia, flax and sesame seeds, looking for chemical markers, which allow the presence of such seeds in food products to be confirmed. The samples were analysed using a LECO Benchtop GC-Time-of-Flight Mass mass spectrometer. Different evaluation strategies were used for data processing.
<h3>By viewing this presentation you will learn:</h3>
<ul>
<li>Sample prep protocols and GC-MS methodology for metabolomics applications</li>
<li>Different screening approaches</li>
<li>Data processing using various evaluation strategies.</li>
</ul>
<blockquote>
Presenter: Dr Jürgen Wendt (Application Specialist, LECO European Application and Technology Center, Berlin, Germany)
</blockquote>
<blockquote>
Dr Wendt has years of experience working with various mass analyzers and a profound knowledge of the most common types of chromatography.
</blockquote>

Pixabay/Irina Nünning: Metabolomic Profiling of Superfood Seeds in Bakery Products using a Benchtop GC Time-of-Flight Mass Spectrometer

Metabolomic Profiling of Superfood Seeds in Bakery Products using a Benchtop GC Time-of-Flight Mass Spectrometer

Přednáška prof. Olivera Fiehna v rámci ASMS 2019 na téma použití online metabolomických databází, možnosti LECO Pegasus vs. BT nebo nástrojů jako BinBase, BinView, MassBank.us a MS-FINDER.
<blockquote>
Presenter: Oliver Fiehn (Director West Coast Metabolomics Center, Davis, California)
</blockquote>

LECO/Oliver Fiehn: Using Open Access Online Metabolomic Databases with LECO GC-TOF MS instruments

Using Open Access Online Metabolomic Databases with LECO GC-TOF MS instruments

The guest speakers, Dr Wilde and Dr Ibrahim, will explore the challenges and solutions in the development of breath analysis in acute respiratory diseases as part of their work with the MRC East MIdlands Breathomics Pathology node (EMBER).
Exhaled breath contains a wealth of information which reflects the metabolic processes and pathophysiology of the human body in the form of volatile organic compounds (VOCs). Accurate identification and measurement of VOC biomarkers in breath has the potential to provide minimally invasive diagnoses, resulting in earlier detection and improved prognosis for many diseases.
Breathomic centres therefore require end-to-end workflows suited to meet the challenges of conducting large-scale, often multi-site, clinical studies for the discovery analysis of breath VOCs. Analytical considerations include collection, transportation, storage as well as the analysis of breath samples using techniques such as thermal desorption (TD) coupled with GC-MS and GC×GC-MS. However, these should not be considered in isolation from the clinical programme. Successful delivery of large breathomic studies relies on a cohesive effort between clinical and analytical researchers as well bioinformaticians to ensure the collection and fusion of high fidelity datasets.
<blockquote>
Presenter: Dr Michael J. Wilde &amp; Dr Wadah Ibrahim (University of Leicester)
</blockquote>

Pixabay/Anke Sundermeier: Maintaining data integrity in breathomics workflows: Lessons learned from the clinic

Maintaining data integrity in breathomics workflows: Lessons learned from the clinic

A free virtual seminar sponsored by LECO Corporation
September 14-18, 2020
<h3>Who will benefit?</h3>
Any supervisor or chemist working in the analytical lab looking to get more information from GC-MS technology, struggling with complex samples, or seeking advantages beyond the same old GC-MS performance. If you have a GC-MS analytical challenge, you’ll want to see what you’ve been missing! You will learn from key opinion leaders in the field of GC and GCxGC technology as to how these solutions can seamlessly fit into your workflow and benefit your laboratory.
This complementary symposium and workshop will include presentations featuring a diverse range of applications by global experts in GCxGC technology (LECO’s Pegasus® brand of products, including the classic Pegasus 4D-C, BT 4D, and GC-HRT+ 4D). Each day ends with an online round table discussion with our daily speakers and a LECO Applications Chemist, answering your questions about that day&#39;s topics and GCxGC applications.
We have an outstanding speaker lineup including Robert Synovec from University of Washington, Christopher Reddy from Woods Hole Oceanographic Institute, and many more. Presenters will speak for approximately 30 minutes with adequate breaks in between, providing 2-3 hours of content per day.
<h3>Agenda Day 3 - Metabolomics</h3>
<ul>
<li>Recent Medical applications of GC×GC-TOFMS (Presented by: <a href="https://www.linkedin.com/in/focant-jef-49057276/">Jef Focant</a>
</li>
<li>Characterizing the Gut Microbiome through SPME coupled to GC×GC-TOFMS (Presented by: <a href="https://www.linkedin.com/in/piotrowp/">Paulina Piotrowski</a>)
</li>
<li>Using GC×GC-TOFMS and chemometrics for studying microbial evolution in chronic infections (Presented by: <a href="https://www.linkedin.com/in/heather-bean-234331169/">Heather Bean</a>)
</li>
</ul>

LECO: 1st North American GCxGC Symposium & Workshop

1st North American GCxGC Symposium & Workshop - Day 3: Metabolomics

There is increased concern regarding the authenticity of basmati rice throughout the world. For years, traders have been passing off a lesser quality rice as the world&#39;s finest long-grained, aromatic rice, basmati, in key markets like the US, Canada and the EU.
In this on-demand webinar, we describe a proof of principle method to assess the authenticity of basmati rice using the latest advancements in high resolution GC-MS and informatics technologies. Volatile compounds of interest were extracted from heated dry rice via SPME and headspace. Following a generic GC separation, detection was performed using a SYNAPT G2-Si MS run in HDMSE mode. Collection of a HDMSE dataset offers a high level of specificity owing to the orthogonal nature of the ion mobility separation to the GC separation.
Progenesis QI, the latest OMICS informatics package from Waters, is designed to utilize the 4-dimensional data produced during a SYNAPT G2-Si HDMSE acquisition. Initially, alignment of all injections was performed followed by the unique peak co-detection process resulting in the same number of analyte measurements in every sample and no missing values. Data from all isotopes and adducts of a parent compound were then deconvoluted giving a single robust and accurate quantitative measurement for that parent compound. The peak picking and deconvolution algorithms ensure a high quality compound table where adducts and isotopes are grouped with the parent m/z. Compounds of interest from the rice samples were highlighted using various multivariate statistical techniques such as PCA and identified using elucidation tools and relevant database searches within the software platform.
This workflow has general applicability to many areas of discovery OMICS and food research where biomarkers differentiating between two or multiple groups are required.
<h3>What will I learn?</h3>
<ul>
<li>An experimental workflow to evaluate the authenticity of foodstuffs</li>
<li>A basic workflow for the discovery of volatile biomarkers between multiple groups of samples</li>
<li>The basics of HDMSE data independent acquisition</li>
<li>How Progenesis QI is used to analyze metabolomics data</li>
</ul>
<h3>Who should attend?</h3>
<ul>
<li>Food research scientists</li>
<li>Metabolomics research scientists</li>
<li>Biomarker research scientists</li>
</ul>
<blockquote>
Presenter: Robert Tonge, Ph.D. (Senior Product Manager, OMICS Informatics, Waters Corporation)
</blockquote>
<blockquote>
Dr Robert Tonge is Senior Product Manager for OMICS Informatics at Waters Corporation, Manchester UK. Robert has been at Waters for 4 years in both Product Development and Field Marketing and has approaching 20 years experience in OMICS science. He trained initially in Biochemistry and Toxicology before moving to &#39;Big Pharma&#39; where he worked in Discovery and Translational Research across a wide variety of disease areas from cancer, cardiovascular disease and infection research.
</blockquote>
<blockquote>
Presenter: Gareth Cleland, Ph.D. (Principal Scientist, Food &amp; Environmental Business, Waters Corporation)
</blockquote>
<blockquote>
Dr Gareth Cleland is a Principal Scientist within the Food and Environment Business Operations at Waters Headquarters, USA. Following his Chemistry studies, he started his professional career working as a Development Chemist for a small coatings company in Oxfordshire, UK. He joined Waters Corporation in 2002 and has held various roles within the organization, both UK and US based, over the last 12 years.
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Pixabay/Trung Hieu Dang: Discovery OMICS and Progenesis QI for Food Authenticity Testing

GCMS webinars focusing on OMICS - page 2