<blockquote>Welcome back to the topic of protecting your GC column! If you missed <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/article/6766">part 1</a> 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

New Food magazine

Teledyne LABS

Thermo Fisher Scientific

Wasson-ECE Instrumentation

SelectScience

Wiley

VWR/Avantor

Waters Corporation

As we aim to make our environment safer, it is important to detect contaminations at very low levels. Hundreds of pesticides are routinely used for crop protection across the globe and most of these pesticides can leach into our water systems. Therefore it is important to monitor these compounds down to very low levels in both environmental and drinking water. European regulations are under constant review, one good example is the proposed amendments to the Directive 2008/105/EC.
Given the challenges brought in by the new regulations, it is becoming ever so important to have sensitive and robust methodologies. The growing target list now include multiple pesticides groups such as pyrethroids, organochlorines and organophosphorus. 
Our recommendation for the GC amenable pesticides analysis is APGC. This technology allows analysts to reach lower levels than ever before. The APGC ionization is considered ‘soft‘ when compared with techniques such as EI, which means that less fragmentation is observed for many compounds. Reduced fragmentation simplifies pre-cursor ion selection, subsequently resulting in higher sensitivity and specificity in MS/MS analyses.
Join our webinar to find out how APGC could improve your methods with: 
<ul>
<li>Sensitivity</li>
<li>Selectivity</li>
<li>Robustness</li>
</ul>
You will also hear from the industry experts about their experiences about APGC and how it helps to advance them further and stay in line (or exceed) regulatory limits, while also dealing with throughput demands.
<blockquote>
Presenter: Rhys Jones (Principal Consulting Scientist, Waters Corporation)
</blockquote>
<blockquote>
Rhys has worked for Waters in research and development for 20 years with a strong focus on gas chromatography mass spectrometry. ​The early part of his career was spent developing and supporting the AutoSpec magnetic sector instrument. ​One of his current responsibilities is the research, development and support of the atmospheric pressure gas chromatography (APGC) chemical ionization source, which has allowed the full range of Waters’ mass spectrometry techniques to be applied to GC analyses.
</blockquote>
<blockquote>
Presenter: Janitha de Alwis (JD) (Senior Applications Chemist, Waters Corporation)
</blockquote>
<blockquote>
Janitha de Alwis (known as JD) is an applications chemist in the European demo lab, based in Wilmslow, UK. His main role focuses on application development work for the food and environmental sector. JD takes great pride in speaking to, and advising, many food and environmental customers. His position requires him to be reactive and proactive to the changes in the food industry, such as changing regulations, topical issues and food safety risks.
</blockquote>

Waters Corporation: Change the Game Part II - Pesticide Analysis with Atmospheric Pressure GC (APGC)

Change the Game Part II - Pesticide Analysis with Atmospheric Pressure GC (APGC)

Join our webinar to find out how APGC could improve your methods with: Sensitivity, Selectivity, Robustness.

Pesticide Analysis with Atmospheric Pressure GC (APGC)

Moving from Benchtop to Inline is the latest trend in the dairy industry and we want to help you understand the value, both from a quality and profit standpoint.
The ever-changing dairy industry requires new technologies and solutions to remain profitable. With the move to mega dairies, optimisation is required for processors to stay competitive. 
During this live webinar, we will discuss Bruker’s portfolio, the difference in technology from FT-IR vs. FT-NIR and how it works. We will explore applications from raw milk to finished products and where they may fit into your process. Bruker has the right solution to maximise profits and minimise process variation in your facility. 
Learning objectives:
<ul>
<li>Learn about new trends in the dairy processing industry to save you time and money
</li>
<li>Learn about a variety of applications to enhance your production and analysis
</li>
<li>Discuss these applications from raw milk to finished product to keep you competitive
</li>
<li>Listen to industry experts about how to minimise process variation and maximise profits – bring your questions!
</li>
</ul>
<blockquote>
Presenter: Shannon Conrad (Feed Business Development and SE Regional Sales Manager offering FT-NIR solutions into Agriculture, Bruker Optics)
</blockquote>
<blockquote>
Shannon Conrad is the North American Business Development and Key Account manager offering FT-NIR solutions into Agriculture for Bruker Optics. She graduated in 1997 with BS in Animal Science from University of Georgia and has been working in animal nutrition for the past 25 years. She worked for Purina Mills/Land O’Lakes in manufacturing &amp; operations for 10 years and has been in sales for the last 15, including owning her own Purina Dealership. Her multi-divisional background and experience in Agriculture drives her passion for helping customers solve opportunities and finding new, valuable solutions for the agricultural markets. 
</blockquote>
<blockquote>
Presenter: Cassandre Juzaitis-Boelter (Applications Specialist, Bruker Optics)
</blockquote>
<blockquote>
Dr. Juzaitis-Boelter earned both her Ph.D. in Poultry Science and her B.S.A. in Avian Biology from the University of Georgia. Academically trained as a monogastric nutritionist, Dr. Juzaitis-Boelter focuses upon FT-NIR solutions for Food and Agricultural systems and actively works to enhance the measures of quality control for raw materials and finished products in the FAS market through calibration maintenance and development.
</blockquote>
<blockquote>
Presenter: Fernando Jose Munoz (Research Scientist)
</blockquote>
<blockquote>
After completing a four-year contract with the United States Air Force as a medical scientist, I joined the Daisy Brand Research and Development Department in 2006 as a Research Scientist responsible for developing wet and analytical chemistry testing. Early in 2023, I transitioned from the R&amp;D Department to the Quality Assurance Department responsible for overseeing all of Daisy Brand’s plant laboratory analytical instrumentation and improving testing laboratory efficiency.
</blockquote>

New Food: From FT-IR to FT-NIR: new technology drives a new future for dairy

From FT-IR to FT-NIR: new technology drives a new future for dairy

The difference in technology from FT-IR vs. FT-NIR and how it works.

From FT-IR to FT-NIR: new technology drives a new future

Join us in this live webinar, as our speakers take you on a virtual tour to our laboratories in Germany and Italy.
There is a myriad of analytical challenges when performing analysis with GC-MS and one of the first is configuring the correct GC instrumentation for the application at hand. You will get to learn the key aspects of selecting the right GC instrumentation for your application, the benefits of GC-MS, advantages of moving to GC-MS/MS as well as what high resolution Orbitrap GC-MS can offer. Theory and real-world data examples will be given to highlight the benefits and limitations of each technique. Analysis of pesticides, persistent organic pollutants (POPs) and PFAS will also be covered during this interactive session.
<blockquote>
Presenter: Daniel Kutscher (Application Manager, Thermo Fisher Scientific)
</blockquote>
<blockquote>
After graduation in Chemistry in 2007, Daniel obtained his PhD from the University of Oviedo in 2011. In the same year he joined Thermo Fisher Scientific and has had different roles in application development and marketing. Currently, he manages the Application Development for trace elemental analysis and GC/GC-MS products.
</blockquote>
<blockquote>
Presenter: Dr. Nicholas Warner (Product Applications Specialist GC-MS, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Nicholas is a product specialist with a strong scientific background in GC and GC-MS applications. Originally from Canada, he has worked as an environmental researcher for 14 years within Norway before moving to join the Thermo Fisher Scientific team in Bremen, Germany in 2021. With a background in Environmental/Analytical chemistry, he is a specialist in the analysis of emerging harmful substances in the environment using gas chromatography mass spectrometry and high-resolution mass spectrometry.
</blockquote>
<blockquote>
Presenter: Giulia Riccardino (Senior Product Applications Specialist GC-MS, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Giulia Riccardino is a senior applications specialist for the GC-GC/MS business unit. Before joining Thermo Fisher Scientific, she worked for more than 10 years as a biologist in a clinical and toxicology lab where she had an extensive experience with both gas and liquid chromatography. She started at Thermo Fisher Scientific as a product specialist for GC standalone and autosamplers and then joined the applications specialist team. Giulia holds a degree in Biology from the University of Milan with a further Specialization in Clinical Biochemistry.
</blockquote>

Thermo Scientific: Back to Basics – GCMS

Back to Basics – GCMS

Key aspects of selecting the right GC instrumentation for your application.

The most essential part of a GC×GC system is the modulator, so it is important to choose the right device for the application.
Join this webinar to hear from Dr. Laura McGregor, Product Marketing Manager at SepSolve Analytical, as she explores recent advances in GC×GC technology and how they are extending their capabilities from the niche to the mainstream.
Dr. McGregor will demonstrate the advantages of both flow and thermal modulation to help simplify the decision-making process. She will also show how robust and repeatable flow modulation allows GC×GC to be a productive member of high-throughput labs, while thermal modulation delivers the enhanced sensitivity and increased peak capacity for unparalleled characterisation of even the most challenging samples.
Furthermore, Dr. McGregor will share some examples of real-life applications that have benefited from the separating power of GC×GC using both flow and thermal modulation.
Key learning objectives
<ul>
<li>Understand the benefits of GC×GC and what it offers over and above standard GC
</li>
<li>Discover the advantages of both flow and thermal modulation
</li>
<li>Learn about the new INSIGHT-Thermal modulator for GC×GC
</li>
<li>Explore the latest GC×GC applications for both research and routine laboratories, including odor profiling, petrochemical fingerprinting and environmental monitoring
</li>
</ul>
Who should attend?
<ul>
<li>GC users who want to enhance their ability to analyse complex samples
</li>
<li>GC analysts who want to find out more about GC×GC
</li>
<li>GC×GC practitioners wanting to further their knowledge on recent advances in applications, hardware and software
</li>
</ul>
<blockquote>
Presenter: Dr. Laura McGregor (SepSolve Analytical)
</blockquote>
<blockquote>
Dr. Laura McGregor received an M.Chem in chemistry from the University of St Andrews, UK, followed by an M.Sc. in forensic science at the University of Strathclyde, UK. Her Ph.D. in environmental forensics, also at the University of Strathclyde, sparked her interest in GC×GC and she has been a strong advocate of the technique ever since. In her current role as Product Marketing Manager at SepSolve Analytical, she continues to apply GC×GC–TOF MS to challenging applications.
</blockquote>
<blockquote>
Presenter: Jemima Arnold (Editorial Team, SelectScience)
</blockquote>
<blockquote>
Jemima studied Cellular and Molecular Medicine at the University of Bristol, UK, and as a member of the Editorial team, she now plays an integral role in shaping the content on SelectScience.
</blockquote>

SelectScience: Adapting GCxGC for every challenge

Adapting GCxGC for every challenge

Recent advances in GC×GC technology and how they are extending their capabilities from the niche to the mainstream.

In today’s economy, the price for everything is on the rise. Helium is becoming increasingly more expensive and harder to source, making it a less desirable purge gas for the Purge &amp; Trap process. The good news is, there are less expensive, easier to obtain alternatives that get the job done. And if helium remains your gas of choice, there are budget-friendly methods for conserving it during analysis. 
We welcome you to join us as Teledyne Tekmar, designer and manufacturer of analytical instrumentation for laboratories, presents this 30-minute webinar hosted by Amy Nutter, Teledyne Tekmar’s VOC technical product specialist.
During the webinar, you will gain expert insight into:
<ul>
<li>What Purge &amp; Trap is and how it works</li>
<li>Alternative purge gases that can be used during the Purge &amp; Trap process</li>
<li>Purge gas comparisons</li>
<li>Comparisons of different purge parameters with helium conservation in mind</li>
</ul>
Who should attend this webinar (Audience profile/ experience):
Anyone working with soil, wastewater, and/or drinking water in an organic laboratory will benefit from taking 30 minutes to save money and conserve helium. This includes:
<ul>
<li>Any scientist or analyst that wishes to learn more about Purge &amp; Trap analysis</li>
<li>Environmental scientists/technicians</li>
<li>Analytical chemists/technicians</li>
<li>Laboratory managers</li>
</ul>
<blockquote>
Presenter: Amy Nutter (Teledyne Tekmar’s VOC technical product specialist)
</blockquote>

Teledyne Tekmar: Helium Conservation in Purge & Trap Analysis

Helium Conservation in Purge & Trap Analysis

What Purge & Trap is and how it works. Alternative purge gases that can be used during the Purge & Trap process. Purge gas comparisons.

Learn how to intelligently manage your risk by signing up for “How to Buy a GC”.
Presenter: John Wasson (Presindent)

How to Buy a GC

Learn how to intelligently manage your risk by signing up for “How to Buy a GC”.

Comparing MS spectra to libraries of reference spectra is one of the most widely used and successful methodologies in the identification of unknown mass spectra. Using this approach, access to an expansive, quality dataset is critical to achieving reliable results.
In this session we will introduce the latest release of the Wiley Registry / NIST Mass Spectral Library 2023, which combines the power of two trusted MS spectral libraries to provide comprehensive compound coverage and ensure identification across multiple use cases and a wide variety of analytes. In this session, we will also demonstrate through a series of live examples how this library can be used to successfully identify unknown spectra.
<blockquote>
Presenter: Dr. Nadia Laschuk (Product Manager, Software &amp; Databases – New Techniques, Wiley Science Solutions)
</blockquote>
<blockquote>
Dr. Nadia Laschuk is a Product Manager for Wiley Science Solutions, for which she manages new products and databases while supporting existing KnowItAll capabilities. Nadia previously completed her PhD in Materials Science from Ontario Tech University, where she performed research applying a wide array of instrumental techniques to analyze metal-organic coordination compounds. Nadia has since pursued cheminformatics and software, joining Wiley in 2022.
</blockquote>
<blockquote>
Presenter: Dr. Michelle D&#39;Souza (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 Chemistry Department of Beijing University.
</blockquote>
<blockquote>
Presenter: Zille Huma (Senior Editor, Wiley Science Solutions)
</blockquote>
<blockquote>
Zille Huma is a senior editor for Wiley Science Solutions, where she supports new and existing database releases. Zille previously completed her bachelor&#39;s degree in chemistry at Rutgers University and has been with Wiley since 2018.
</blockquote>
<blockquote>
Presenter: Dr. Birgit Foltas (Scientific Editor, Wiley)
</blockquote>
<blockquote>
Dr. Birgit Foltas is the editor-in-chief of Imaging &amp; Microscopy. She has worked at Wiley for more than 20 years as a scientific editor. She studied biology at the Technical University of Darmstadt, Germany, and received her PhD in cellular immunology from the German Cancer Research Center in Heidelberg, Germany.
</blockquote>

Wiley: Increase the Likelihood of MS Identification with the Wiley Registry / NIST Library

Increase the Likelihood of MS Identification with the Wiley Registry / NIST Library

We will introduce the latest release of the Wiley Registry / NIST Mass Spectral Library 2023, which combines the power of two trusted MS spectral libraries.

MS Identification with the Wiley Registry / NIST Library

Over the past decade, per- and polyfluorinated alkyl substances (PFAS) have been detected in groundwater and soil at hundreds of military sites as well as a number of industrial sites, raising questions as to the potential migration of PFAS vapor concentrations from the subsurface into nearby buildings.
In order to investigate the fate and transport of PFAS vapors in the environment, an analytical method using Thermal Desorption Gas Chromatography Tandem Mass Spectrometry has been developed to measure fluorotelomer alcohols and other volatile PFAS in soil vapor and indoor air. Data will be presented to demonstrate method performance and challenges of measuring PFAS in environmental vapor samples.
<blockquote>
Presenter: Heidi Hayes (Technical Director, Eurofins Air Toxics LLC)
</blockquote>
<blockquote>
Heidi Hayes is the Technical Director at Eurofins Air Toxics. Ms. Hayes has a MS in Chemistry from the Colorado School of Mines in Golden, CO, and over 27 years in the environmental laboratory industry with the last 25 years at Eurofins Air Toxics. In her role as Technical Director, Ms. Hayes oversees the development and validation of new media, protocols, and technology related to air phase measurements.
</blockquote>
<blockquote>
Presenter: Róisín Murtagh (Editor, Wiley)
</blockquote>
<blockquote>
Róisín Murtagh has been an editor for Wiley Analytical Science since 2021. She holds a science degree from Maynooth University, Ireland, and an MSc in Medicinal Chemistry from the Open University, UK. With a background encompassing over 10 years of experience in analytical science, she has actively contributed to both industry and academic research.
</blockquote>

Wiley: Measuring PFAS in Air using Thermal Desorption Gas Chromatography Mass Spectrometry

Measuring PFAS in Air using Thermal Desorption Gas Chromatography Mass Spectrometry

TD-GC/MS data of volatile PFAS in soil vapor and indoor air will be presented to demonstrate method performance and challenges of measuring PFAS.

Measuring PFAS in Air using Thermal Desorption GC/MS

We will examine how small changes to your vials &amp; closures can lead to a big impact to your recovery rates and reproducibility in your workflow.
Let´s be realistic: you will never get 100% of your analyte out of your sample handling container but we can help to secure your valid sample and improve the accuracy of your results.
During this webinar, we will examine developments and tips to:
<ul>
<li>eliminate or at least reduce adsorption in an autosampler vial</li>
<li>reduce the risk of moving your analyte out of the target pks/pka value for reliable LC analysis</li>
<li>eliminate sample loss due to evaporation by poor seals</li>
</ul>
We hope you will leave this webinar with an understanding on how to identify small fixes to reduce or eliminate sample loss for significant improvements. The session will finish with a short Q&amp;A and include a live chat with an expert.
<blockquote>
Presenter: Dr. Detlev Lennartz
</blockquote>
<blockquote>
Dr. Detlev Lennartz brings almost 30 years of experience in chromatography consumables (HPLC columns, GC columns, SPE cartridges, TLC products, and vials and closures). Twenty-four of those years he has been within product management developing and improving consumables for today’s researcher. His customer sales and technical support experience allows him to understand what challenges researchers face. The last twelve years Detlev has been the Thermo Scientific sample handling (autosampler vials, closures and well plates) worldwide product manager. Together, with a team of specialists, focusing on developing and launching new and innovative sample handling products, he hopes to share this knowledge to drive better efficiencies and improve results for researchers.
</blockquote>

VWR: How to reduce your sample loss to significantly improve your results

How to reduce your sample loss to significantly improve your results

We will examine how small changes to your vials & closures can lead to a big impact to your recovery rates and reproducibility in your workflow.

How to reduce your sample loss to improve your results

Discover a new tool for multi projects search in Empower. This session shows you how you can use a new tool for answering questions that took a lot of effort in the past.

Waters Corporation: Waters Empower search tool

Empower search tool

This session shows you how you can use a new tool for answering questions that took a lot of effort in the past. 