<blockquote>Welcome back to the topic of protecting your GC column! If you missed part 1 or would like to refresh your knowledge, find further tips on GC column protection <a target="_blank" rel="noopener noreferrer" href="https://www.phenomenex.com/knowledge-center/gc-knowledge-center/protecting-your-gc-column-pt1-tech-tip-en-1025">here.</a></blockquote>Protecting your GC column and instrument components from exposure to dirty samples or contaminants is important. Non-volatile or high molecular weight components can contaminate the stationary phase, causing poor peak resolution, lower accuracy, and poor column lifetime. Cutting off the damaged portion of column tubing will often restore your column’s performance, but over time performance will degrade to a point where the column can no longer be used. If you are experiencing rapid degradation of column performance, there are several simple ways to help protect your column and increase its lifetime.<h3>Use A Liner With Wool</h3>The liner is the first line of defense for your column, and the style you choose can make a big impact in how much contamination gets onto the column. The easiest thing to do is to add a small amount of silanized glass wool to a liner, which traps the non-volatile compounds and prevents them from entering directly into the column.&nbsp;<blockquote>Caution: glass wool can also add activity for acids, bases, and pesticides. Crushing the glass wool can expose undeactivated glass and free silanols (-OH groups) even if the wool has been deactivated. This leads to increased activity, so pre-packed liners, rather than self-packed ones are highly recommended to avoid reproducibility issues.</blockquote>In addition to choosing a liner with wool, ensure that your liner (and other system consumables) are free of contaminant build-up that may form over time. Septum cores and other particulates that remain can become trapped in the wool and are sometimes difficult to spot. Regularly replace the liner (and other system consumables as needed) to reduce troubleshooting and maintenance.<h3>Bake Out Your Column</h3>The easiest way to reduce column contamination is to add a short, high temperature bake-out at the end of your standard GC method. This bake out helps remove high boiling contaminants that would otherwise remain in the column and cause damage. To bake out, the final oven temperature needs to be set high enough to ensure elution of these compounds, but not so high as to cause thermal damage. This can be done either isothermally, or more commonly, via an oven ramp until the last components elute from the column. Caution: NEVER exceed the upper temperature limits of your column. DO NOT exceed more than fifteen minutes at the upper isothermal temperature limit specified for the column.

How to Protect Your GC Column - Part 2

🎤 Presenter: Christopher Freye (Los Alamos National Laboratory)💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_1_Freye_10783a9cf3.pdf">PDF presentation</a><h3>Abstract</h3>Two-dimensional gas chromatography (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=2">GC×GC</a>) when coupled with mass spectrometry (MS) especially high-resolution mass spectrometry (HRMS) provides the ideal technique to discover minute chemical changes. However, GC×GC analyses result in extremely large datasets (GBs of information) wherein the statistically significant chemical changes are buried within the background chemical matrix. To combat these issues, many chemometric techniques have been developed or applied. Recently we introduced a new chemometric technique for GC-MS termed alteration analysis (ALA) and two-dimensional correlation (2DCOR) which can be used to discover statistically significant chemical changes across a series of chromatograms and understand the relationship between the statistically relevant changes. ALA generates three sets of information, the basic alteration map (BAM) which is the magnitude of the change, the synchronous alteration map (SAM) which describes the linear change, and the asynchronous alteration map (AAM) which describes the non-linear change. 2DCOR can then be used to understand the relationship between the chemical changes but 2DCOR can also resolve the sequence of the changes. A workflow for GC×GC-MS will be demonstrated. Special attention will be given to what differentiates the GC×GC work flow from GC for both the ALA and 2DCOR.<h3>Video Transcription</h3>The presentation focuses on how advanced mathematical and chemometric methods can be used to extract meaningful information from highly complex chromatographic data, especially in multidimensional chromatography coupled with mass spectrometry (GC×GC-MS, LC-MS).<h4>Why traditional data analysis falls short</h4>Modern multidimensional chromatography generates extremely large datasets, often containing billions of data points. Visual inspection, peak tables, or classical identification-based workflows are impractical—especially when:<ul><li>Samples are highly complex (e.g. petroleum, metabolomics, high explosives)</li><li>Most compounds are unknown unknowns</li><li>The key question is not what the compounds are, but whether samples differ and how</li></ul>Program managers and decision-makers are primarily interested in detecting statistically significant changes, not exhaustive compound identification.<h4>Introduction of Alteration Analysis (ALA)</h4>To address subtle, trend-based changes across series of chromatograms, the speaker introduces Alteration Analysis (ALA), a chemometric approach adapted from spectroscopy and applied to chromatography.ALA quantitatively evaluates how individual data points change across multiple samples, allowing detection of:<ul><li>Extremely subtle trends</li><li>Overlapping peaks</li><li>Changes hidden in noise or baseline interference</li></ul>Key ALA outputs include:<ul><li>BAM (Basic Alteration Map): magnitude of change</li><li>SAM (Systematic Alteration Map): linear changes</li><li>AM (Alteration Map): nonlinear changes</li></ul>Even changes as small as 1% per sample can be detected reliably, including peaks that are heavily overlapped.<h4>Beyond detection: understanding relationships with 2D Correlation</h4>Once statistically significant changes are identified, two-dimensional correlation analysis (2D-COR) is used to understand relationships between changing compounds, including:<ul><li>Whether compounds are correlated or anti-correlated</li><li>The sequence of changes over time (which changes happen first)</li></ul>This is especially critical for degradation and aging studies, where intermediate species may appear and disappear before the final state—information that traditional methods like Fisher ratio or PCA often miss.<h4>Solving GC×GC challenges with tiling</h4>GC×GC data introduces additional challenges due to:<ul><li>Peak misalignment</li><li>Exponential data growth during correlation calculations</li></ul>The presenter explains how tile-based approaches reduce data dimensionality, overcome alignment issues, and make ALA and 2D correlation computationally feasible—even for massive GC×GC-MS datasets.<h4>Real-world application: explosive aging studies</h4>The methodology was applied to aging and decomposition of high explosives, where:<ul><li>Over 250 chemical changes were identified</li><li>Many intermediate species would have been missed using traditional comparisons</li><li>ALA combined with 2D correlation enabled reconstruction of degradation pathways</li><li>The most significant change was not necessarily the first change, a critical insight for risk assessment and stability studies</li></ul><h4>Key takeaway</h4>By combining Alteration Analysis and 2D correlation, the approach:<ul><li>Detects statistically guaranteed chemical changes</li><li>Handles subtle, overlapped, and noisy signals</li><li>Determines magnitude, type, interrelationships, and order of changes</li><li>Shifts chromatographic data analysis from identification-driven to decision-driven</li></ul>This math-driven workflow enables faster, more reliable interpretation of complex chromatographic datasets and provides actionable insights for applications such as explosive aging, pharmaceutical degradation, and complex mixture analysis.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote>

Discovery analysis for GCxGC trends using alteration and 2D correlation (Chris Freye, MDCW 2026)

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 9th February 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you technical note by Agilent Technologies, presentation by MDCW / University of Copenhagen and application notes by Shimadzu and Thermo Fisher Scientific!<h3>1. Agilent Technologies: What Causes Spots on <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=19&amp;manufacturerItems=1&amp;search=PLOT">PLOT Columns</a>? Will It Affect the Performance of the Column?</h3><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_what_causes_spots_plot_columns_affecting_performance_5994_8775en_agilent_3b7180512a.pdf">Full PDF for download</a></li></ul>Spots on porous layer open tubular (PLOT) columns are caused by small voids in the stationary phase coating inside the tube. These spots are areas where there is an uneven coating or lack of phase. It is normal to find some voids in the phase coating of PLOT columns. The stationary phase in PLOT columns is an opaque, solid, and porous material. In many Agilent PLOT columns such as the GS-Alumina phases, molecular sieves, porous polymers (Q and U), and the GS-OxyPLOT, the stationary phase is visible as a white powder. For many PLOT columns, the stationary phase fill solution is a viscous suspension of particles that are less than 10 microns in diameter. The phase is coated using a dynamic process in which a plug of fill solution is pushed through the tubing, and the plug’s speed and viscosity determines the thickness of the stationary phase layer. Once the PLOT’s stationary phase is deposited, it is held in place by electrostatic charge, chemical interactions between particles, and/or binding agents. In wall‑coated open tubular (WCOT) columns, stationary phases such as polysiloxanes or polyethylene glycols are immobilized by chemical bonding to the glass surface and cross-linking between polymer strands. Because this type of bonding and cross‑linking is not possible with PLOT phases, the result is a stationary phase layer that is both fundamentally different and inherently less stable in PLOT columns than in WCOT&nbsp;columns.<h3>2. MDCW / University of Copenhagen: One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups</h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_17_Schneide_67c8ff7866.pdf">Full PDF for download</a></li></ul>The presentation introduces a novel all-samples-at-once, shift-invariant tri-linear tensor decomposition approach for the analysis of full-scale <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?search=GC%C3%97GC-VUV">GC×GC-VUV</a> datasets, aimed at resolving and quantifying petrochemical groups. Traditional template-based or pixel-based methods struggle with retention-time shifts and co-eluting compounds, often requiring manual intervention and prior chemical knowledge. The proposed approach leverages the intrinsic low-rank structure of GC×GC-VUV data to enable robust, automated group-level analysis across multiple samples simultaneously.At the core of the method is a shift-invariant tri-linear model, conceptually related to PARAFAC and multivariate curve resolution, but extended using frequency-domain (FFT-based) modeling to explicitly account for chromatographic peak shifts. By decomposing the entire dataset in one step, the model provides accurate estimates of peak landscapes, VUV spectra, and relative peak areas, while remaining agnostic to retention-time variability. Importantly, the approach requires only a small number of tunable parameters, making it practical for routine use.The method was demonstrated on a case study involving 14 petrochemical gas-oil samples, including straight-run, hydrotreated, hydroconverted, coker, and light cycle oils. Extracted VUV spectra showed excellent agreement with reference spectra from a VUV spectral database, enabling confident assignment of components to chemical groups such as saturates, olefins, and mono- to poly-aromatics. Quantitative results exhibited high repeatability (RSD typically 3–9%) and strong correlation with established template-based reference methods.Overall, the work demonstrates that one-shot, shift-invariant tensor decomposition provides a powerful and scalable alternative to conventional GC×GC data-analysis strategies. By combining chemical interpretability, robustness to chromatographic shifts, and strong quantitative performance, the approach opens new opportunities for automated, high-confidence group-level analysis of complex petrochemical samples and beyond.<h3>3. Shimadzu: Py-Screener Ver. 3: Simultaneously Test for Substances Regulated Under RoHS, TSCA, and POPs</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00949_en_4754e50164.pdf">Full PDF for download</a></li></ul><h5>User Benefits</h5><ul><li>In just one analysis, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=Py-Screener">Py-Screener</a> Ver. 3 can determine levels of phthalate esters, brominated flame retardants (PBBs, PBDEs), PIP (3:1), UV-328, dechlorane plus (DP), short-chain chlorinated paraffins (SCCPs), and medium-chain chlorinated paraffins (MCCPs).&nbsp;</li><li>It can also test for SCCPs and MCCPs by electron ionization (EI) instead of negative chemical ionization (NCI).&nbsp;</li><li>PIP (3:1), UV-328, DP, and SCCPs and MCCPs can be screened without the need for corresponding reference materials.</li></ul>Countries and regulatory bodies worldwide are introducing increasingly stringent regulations on the chemical substances used in electronic devices and industrial products. The RoHS Directive and REACH regulations in the EU, the Toxic Substances Control Act (TSCA) in the USA, and the Stockholm Convention on Persistent Organic Pollutants (POPs) are also targeting an increasingly broad range of substances. Therefore, manufacturers are required to accurately identify regulated substances in their products and comply with each regulation. While Py-Screener Ver. 2 can screen for seven phthalate esters and brominated flame retardants, including substances regulated under the RoHS Directive, version 3 can also screen for PIP (3:1), which is regulated under the TSCA, as well as UV328, DP, and SCCPs and MCCPs , which are regulated under the Stockholm Convention on POPs. A list of supported substances isshown in Table 1. This article introduces the simultaneous analysis of multiple regulated substances and a case study of testing specific regulated substances in samples, using Py-Screener Ver. 3.<h4>Analysis Process</h4>Py-Screener Ver. 3 can determine levels of phthalate esters and brominated flame retardants contained in products in accordance with the international analytical standards IEC62321-8 and IEC62321-3-3. It can also test for specific regulated substances (Table 1) under the same conditions and in the same analysis. In this test, background intensity and instrument sensitivity (S/N) were verified before analyzing samples. These parameters are prescribed by IEC62321-8 to ensure the accuracy of the methods used. Background intensity and instrument sensitivity were determined using a reference material (PN: 225-31003- 91) *1 that consisted of a plastic sheet that was spiked with seven phthalate esters. The results met the criteria for both parameters.The testing workflow is shown in Fig. 1. Before testing samples, calibration curves were prepared by analyzing the 1000 mg/kg phthalate ester reference material and polypropylene spiked with brominated flame retardants (ERM-EC591). A hole puncher was used to punch out two discs at a time of the phthalate ester reference material, and a cutter was used to obtain pieces of the other materials. Each material was weighed in a sample cup for analysis. During the analysis of samples, phthalate esters and some of the regulated brominated flame retardants were quantitated using a one-point calibration curve. The remaining brominated flame retardants and specific regulated substances were quantitated using the correction factor database*2 that is included with Py-Screener Ver. 3.<h4>Conclusion</h4>Py-Screener Ver. 3 successfully determined in samples the concentrations of the regulated substances PIP (3:1), UV-328, DP, and SCCPs and MCCPs. Normally, SCCP and MCCP levels are tested using NCI, but Py-Screener Ver. 3 uses EI. This enables it to test for not only SCCPs and MCCPs but also phthalate esters, brominated flame retardants, and other regulated substances in just one analysis. In addition, by using the relative correction factors linked to DEHP in the phthalate ester reference material, the levels of these regulated substances were determined without the need for the corresponding reference materials. Py-Screener Ver. 3 can also create a screening program that addresses substance restrictions under the RoHS Directive, the US TSCA, and the POPs Convention.<h3>4. Thermo Fisher Scientific: Improving low carbon steel production in specialty steel processes</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/prima_pro_process_mass_spectrometer_an1626_7fc840235f.pdf">Full PDF for download</a></li></ul>World crude steel production reached 1,691 million tonnes in 2017, up by 5.3% compared to 2016.1 While much of this capacity is still produced in primary steel processes such as basic oxygen furnaces and electric arc furnaces, the need for refined steel with greater durability and resistance to heat and corrosion has led to the increased use of vacuum degassing processes, such as VOD and RH, in secondary steel production. These processes are able to achieve ultra-low levels of residual carbon, while at the same time retaining desired levels of other alloy materials. If these processes are to achieve the required level of steel product quality, they need fast, continuous gas analysis of the furnace exhaust gas. Without accurate information on the composition of the gas leaving the furnace, any variations in the decarburization process are only detected after the event, resulting in the production of out-of-specification steel.<h4>Advantages of mass spectrometry&nbsp;</h4>Traditional Non-Dispersive Infra-Red (NDIR) analyzers are used in many conventional steelmaking processes to measure CO and CO2 , but they can only sample at atmospheric pressure. In vacuum steelmaking the process pressure changes dramatically, typically from atmospheric pressure down to less than 1 mbar, over the 20-30 minutes of the melt. So NDIR analyzers have to sample some distance downstream from the process. Analytical data is updated several minutes after the gas leaves the melt and the control system is forced to operate on historic rather than real-time data.&nbsp;Paramagnetic analyzers can be used to measure O2 , while thermal conductivity analyzers can be used to measure H2 . These analyzers also suffer from slow response, while the need to operate three different types of analyzers adds to the plant maintenance burden. Moreover, the three analyzers cannot analyze inert gases, so N2 is calculated by difference, a result that suffers from the sum of the errors of the three analytical techniques.&nbsp;Mass spectrometry operates at high vacuum so it is ideal for monitoring vacuum processes. It is also able to monitor all seven components in Table 1 in seconds rather than minutes, ensuring the plant control model is frequently updated with accurate compositional data.<h4>Precision of analysis&nbsp;</h4>At the heart of the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=2&amp;search=Prima+PRO+Mass+Spectrometer">Thermo Scientific™ Prima PRO Mass Spectrometer</a> (MS) is a magnetic sector analyzer which offers unrivalled precision and accuracy compared with other mass spectrometers. Thermo Fisher Scientific manufactures both quadrupole and magnetic sector mass spectrometers; over thirty years of industrial experience have shown the magnetic sector based analyzer offers the best performance for industrial on-line gas analysis.&nbsp;Key advantages of magnetic sector analyzers include improved precision, accuracy, long intervals between calibrations, and resistance to contamination. Typically, analytical precision is between 2 and 10 times better than a quadrupole analyzer, depending on the gases analyzed and complexity of the mixture.&nbsp;A unique feature of the Prima PRO magnet is that it is laminated. Its analysis times are similar to a quadrupole analyzer, offering the unique combination of rapid analysis and high stability. This allows the rapid and extremely stable analysis of an unlimited number of user-defined gases. The scanning magnetic sector is controlled with 24-bit precision using a magnetic flux measuring device for extremely stable mass alignment.&nbsp;The ion source is an enclosed type for high sensitivity, minimum background interference, and maximum contamination resistance. This is a high-energy (1000 eV) analyzer that offers extremely rugged performance in the presence of gases and vapors that have the potential for contaminating the analyzer. Typical performance specifications for the Prima PRO MS are shown in Table 1. Analytical performance is demonstrated by analyzing the calibration bottle over 1 hour following calibration, with an analysis time of just 6 seconds. Standard deviations measured on the calibration cylinder will be equal to or better than the stated values.

News from LabRulezGCMS Library - Week 07, 2026

Article

Application

Academy

Video

Presentation

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

The Multidimensional Chromatography Workshop

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

LabRulez

Phenomenex is a global technology leader committed to developing novel analytical chemistry solutions that solve the separation and purification challenges of researchers in industrial, government and academic laboratories.

Phenomenex

Separation Science

Merck

Agilent Technologies

Bruker

Wiley

There are many consumables in the GC flow path, and sometimes it can be tricky to know when it is time for a replacement.
Join us as we review the common consumables in the GC flow path and point out common signs or symptoms that indicate it may be time to do some maintenance.
<blockquote>
Presenter: Alex Ucci (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
In his current position at Agilent, Alex provides application assistance and technical support for sample preparation products as well as GC and LC consumables. Before he joined Agilent in 2014, Alex was a graduate student at the Pennsylvania State University researching the morphology and surface properties of aerosol particles using a wide variety of analytical techniques. He has an MS degree in chemistry.
</blockquote>

Agilent technologies: How to Keep a Good Thing Going: Preventive and Routine Maintenance for Your GC System

How to Keep a Good Thing Going: Preventive and Routine Maintenance for Your GC System

Common consumables in the GC flow path and point out common signs or symptoms that indicate it may be time to do some maintenance.

Preventive and Routine Maintenance for Your GC System

Traditional QuEChERS clean-up of food and agricultural sample matrices for pesticide residue analysis relies on the dispersive solid phase extraction (dSPE) technique.
For analytical laboratories using dSPE workflows, the sample is shaken with dispersed SPE media to remove unwanted matrix components that negatively impact data quality. In this webinar, we will present a new technique that simplifies QuEChERS clean-up and enhances analytical performance when compared to traditional dSPE. ISOLUTE® cSPE for QuEChERS columns allow for a convenient, flow-through clean-up workflow for both AOAC and EN QuEChERS techniques. This new workflow eliminates several time-consuming processes, such as capping, shaking, de-capping, and sample transfer. In addition to labor reduction, the ISOLUTE® cSPE for QuEChERS process is more effective at removing unwanted matrix components. Compared to traditional dSPE, extracts processed using cSPE columns result in cleaner analytical baselines, making sample analysis easier, more accurate, and more reliable.
By attending this presentation, you will learn:
<ul>
<li>How to enhance analytical performance, making sample analysis easier, more accurate, and reliable.
</li>
<li>How to simplify sample preparation workflows by eliminating processing steps.
</li>
</ul>
Who should attend:
<ul>
<li>Analytical laboratories performing chemical residue analysis such as pesticides, fungicides, and insecticides.
</li>
<li>Laboratories testing food, agricultural, and cannabis samples.
</li>
<li>Lab bench, sample preparation, and extraction chemists.
</li>
<li>Lab analytical chemists performing gas and liquid chromatography with mass spectrometry (GCMS &amp; LCMS).
</li>
</ul>
<blockquote>
Presenter: Evan Walters (MSc) (Market Segment Manager, Biotage)
</blockquote>
<blockquote>
Evan Walters is passionate about science and analytical chemistry in environmental, food, and agriculture markets. A trained environmental chemist and geochemist, Evan uses his background in analytical chemistry to connect laboratories with products and workflow solutions to ensure their success. Evan received a Master of Science in Geochemistry from Southern Illinois University and is a published scientific author.
</blockquote>

Separation Science: Improving pesticide residue analysis following AOAC and EN methods with a new QuEChERS cSPE cleanup technique

Improving pesticide residue analysis following AOAC and EN methods with a new QuEChERS cSPE cleanup technique

New technique that simplifies QuEChERS clean-up and enhances analytical performance when compared to traditional dSPE.

Pesticide residue analysis & new QuEChERS column SPE cleanup

Vacuum and leak detection solutions are crucial elements in advanced industrial processes for the electrification of vehicles.
This webinar discusses the benefits of helium leak detection (HLD) for e-Vehicle manufacturing and offers real-world suggestions for improving the accuracy of the results and optimizing process flow.
Vehicle electrification provides additional challenges and opportunities for vacuum products related to energy storage, in addition to the conventional automobile applications’ vacuum needs for airbag integrity, HVAC component testing, power train production, and testing. E-vehicle battery technology requires a tightly sealed shell around the storage cells, and HLD is the only technology with the sensitivity and dynamic range capable of confirming the integrity of the battery enclosure for the life of the vehicle.
Join Sr Applications Engineer Bartly Carlson for this unique perspective on using HLD in E-vehicle manufacturing and test applications.
<blockquote>
 Presenter: Bartly Carlson (Sr. Applications Engineer, Vacuum Products, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Bart joined Agilent / Varian in 1989 and has held positions in pre- and post-sales applications, vacuum system design, field service, and customer support in his 30+ year career in Vacuum and Leak Detection. Bart supports Agilent’s Customers and Sales Teams in Canada, US, Mexico, and South America.
</blockquote>

Agilent Technologies: Leak Detection for E-Vehicle Applications

Leak Detection for E-Vehicle Applications

The benefits of helium leak detection (HLD) for e-Vehicle manufacturing and offers real-world suggestions for improving the accuracy of the results.

Method TO-15A, for the monitoring of air toxics, was released in 2020 and lowers the required method detection limit for all compounds covered by the method to 20 ppt.
This new, lower detection limit level challenges every aspect of the sampling and analysis process, especially blank levels. Background generated by instrumentation and sampling equipment has always been monitored for air toxic analysis, but these extremely low detection limits enhance the associated demands on the analyst.
In this webinar, we will show how the use of the UNITY-CIA Advantage-xr, a canister autosampler and pre-concentrator, combined with Kori-xr for innovative water removal enables a robust analysis at a range of humidities, in accordance with US EPA Method TO-15A. Within this, we will demonstrate how the analytical instrument overcomes the challenges related to the low detection limits and background and discuss the obstacles involved in extending this method to new species of concern such as ethylene oxide.
By attending this presentation, you will learn:
<ul>
<li>The changes necessary for achieving TO-15A defensible data</li>
</ul>
Who should attend?
<ul>
<li>Researchers interested in monitoring of volatile organic compounds in air
</li>
<li>Laboratory and project managers specializing in air samples and air monitoring
</li>
<li>GC-MS scientists, analysts, and lab technicians
</li>
<li>Environmental consultants
</li>
</ul>
<blockquote>
Presenter: Ericka Hachmeister (North America Applications Scientist, Markes International Ltd)
</blockquote>
<blockquote>
Ericka Hachmeister is the North America Applications Scientist for Markes International Ltd. Ericka spent 11 years working in R&amp;D and manufacturing focused on organic, surface, and compositional analysis, where she developed a passion for VOC analysis by TD–GC–MS from complex matrices. In 2021, Ericka joined Markes, where she has had the opportunity to expand her TD expertise to include canister-based analysis by developing a high throughput method that is TO-15A compliant. Ericka leverages her comprehensive knowledge on the use of thermal desorption as an analytical tool to support customer labs in the development and successful implementation of robust applications for cryogen-free analysis of VOCs.
</blockquote>

Markes: TO-15A: Is your pre-concentrator system up to the task?

TO-15A: Is your pre-concentrator system up to the task?

How the use of the UNITY-CIA Advantage-xr, a canister autosampler and pre-concentrator, combined with Kori-xr.

Join this webinar to explore the utility of hydrogen in chemical research, its associated risks, and a safer laboratory solution: H-Genie® Lite. This innovative, compact hydrogen generator employs unique patented cell technology to convert water into high-purity hydrogen gas, reaching pressures up to 50 bar (725 psi). As an ideal replacement for conventional hydrogen cylinders, it not only boosts lab safety but is also perfect for filling autoclaves and pressured containers.
Subsequently, we will delve into metal-catalyzed hydrogenation reactions. Heterogeneous catalysts like Pd/C are commonly employed for nitro group reductions and hydrogenation of carbon-carbon and carbon-heteroatom double bonds. These catalysts also aid in O- and N- deprotection, yielding respective alcohols or amines, and in asymmetric hydrogenation reactions.
We’ll discuss the core principles of hydrogenation, featuring both heterogeneous and homogeneous catalysts, and highlight their significance in industrial applications. H-Genie® Lite seamlessly integrates with both batch and continuous flow chemistry hydrogenation processes.
<blockquote>
Presenter: Nándor Kánya, PhD (Head of Experimental Chemistry, ThalesNano)
</blockquote>
<blockquote>
Nándor graduated from Budapest University of Technology and Economics as a Pharmaceutical Engineer in 2016, followed by a PhD degree in synthetic organic chemistry from the University of Debrecen in 2021. He joined ThalesNano in 2021 as an Application Scientist and became the leader of Experimental Chemistry in 2022.
</blockquote>
<blockquote>
Presenter: Thomas Colacot, PhD (R&amp;D Fellow and Director of Global Technology Innovation, Merck KGaA, Darmstadt, Germany)
</blockquote>
<blockquote>
Thomas J. Colacot holds a Ph.D. in chemistry and an MBA. He joined MilliporeSigma in 2018 and currently serves as an R&amp;D Fellow and Director of Global Technology Innovation in the Life Science Business division. He is an expert in organometallics and homogeneous catalysis and has a strong track record of commercializing innovative products. Colacot has published over 120 peer-reviewed articles and holds 67 international patents. He has been recognized with various awards, including a lifetime achievement award from the Chairman and CEO of Merck KGaA, Darmstadt, Germany. From 1995 to 2018, he was instrumental in establishing a successful homogeneous catalysis program at Johnson Matthey.
</blockquote>

Safe Hydrogenation in the Lab

Safe Hydrogenation in the Lab with H-Genie® Lite

Safe Hydrogenation in the Lab H-Genie® Lite

Per- and polyfluoroalkyl substances (PFAS), an emerging class of toxic anthropogenic chemicals persistent in the environment, are currently regulated at the low part-per-trillion level worldwide in drinking water. Quantification and screening of these compounds currently rely primarily on liquid chromatography mass spectrometry (LC-MS).
To better meet the regulatory demands of rapid screening of these chemicals, the hyphenating of solid phase microextraction (SPME) with direct analysis in real time (DART) will be demonstrated. PFAS analysis screened rapidly by DART on the Bruker EVOQ triple quadrupole using LC free workflows demonstrates a significant increase in productivity whilst also presenting a more economical and a greener solution for the lab.
Join us live for the real-time analysis of PFAS with SPME-DART-MS and discover the power of our cutting-edge instrumentation and technologies. 
<blockquote>
Presenter: William Fatigante (Applications Scientist, DART-MS at Bruker Applied Mass Spectrometry)
</blockquote>

Bruker Applied Mass Spectrometry - Chromatography-Free Screening of PFAS Enabled Through SPME-DART-MS

Chromatography-Free Screening of PFAS Enabled Through SPME-DART-MS

Screening of PFAS Enabled Through SPME-DART-MS

Analyzing volatile analytes in a non-volatile matrix doesn’t have to be messy. This talk will introduce the user to the Headspace injection technique. We will go through method development and discuss the changes that can be made to your chromatography by optimizing your headspace parameters.
<blockquote>
Presenter: Simon Jones (GC Applications Engineer/Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Simon Jones has over 23 years of GC experience. For the last 16 years, he has been with Agilent as a GC applications engineer/scientist based out of the GC column manufacturing facility if Folsom California. In his roles he has assisted with application development, troubleshooting chromatographic issues, and assisting with instrument configurations. Prior to joining Agilent in 2005, he worked in an analytical lab for the power industry, developing and optimizing testing methodologies for insulating fluids and materials in transformers.
</blockquote>

Agilent: Understanding Headspace GC. Parameters to Make You Successful!

Understanding Headspace GC. Parameters to Make You Successful!

This talk will introduce the user to the Headspace injection technique.  We will go through method development and discuss optimizing your headspace parameters.

Understanding Headspace GC parameters

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

What's New in KnowItAll 2024

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

Ongoing helium srtages can cause unpredictability for gas chromatographers. This is impacting lab managers who have now to manage sensible price fluctuations and potential delivery interruptions with helium carrier gas for GC analyses.
There might be different approaches to address the consequences of helium shortage and increased costs. In many cases switching to alternative gas can be a suitable solution but there are situations where you really need to use helium as your carrier gas. Regulated methods, SOPs, or high-sensitivity GC/MS methods may require the use of helium. In these cases, helium conservation should be pursued.
<h4>In this webinar you will learn how to:</h4>
<ul>
<li>Take advantage of Gas Saver.
</li>
<li>Utilize the optional programmable helium conservation module for your Agilent GC.
</li>
<li>Check and maintain your helium infrastructure to prevent leaks.
</li>
</ul>
<blockquote>
Presenter: Praveen Arya (Application Engineer - GC/MS, Agilent Technologies)
</blockquote>
<blockquote>
Praveen Arya, Application Engineer at Agilent technologies, has a commitment and appreciation for Gas-phase residue applications. In 2005, Mr. Praveen Arya completed his MSc. in Food Technology . After post-graduation, he served as a Senior Analyst at SGS, Gurgaon- a commercial testing laboratory for 6 years and developed expertise in Residue analysis using sophisticated chromatographic instruments such as LCMS and GCMS. After that, in 2011, He joined Agilent Technologies as an Application Engineer where he supported country-wide GCMS customers for resolving application issues and method development. He has more than 18 years of experience in residue analysis in food and environmental samples using various high end chromatographic and spectrometric techniques (GC, GCMS, GCMS/MS, TDS, Headspace, Purge &amp; trap etc.). His area of specialization includes new analytical method development and validation as per national and international guidelines.
</blockquote>

Agilent India: Helium Conservation and Alternatives

Helium Conservation and Alternatives

Helium Conservation and Alternatives to address helium shortage and increased costs

Helium Conservation and Alternatives in GC & GC/MS

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

Agilent India: Transforming your Lab to Digital & Paperless

Transforming your Lab to Digital & Paperless

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