<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

Metrohm

Agilent Technologies

Thermo Fisher Scientific

Restek Corporation

Wiley

Have you ever seen analyte peaks show up in a blank, or extra peaks suddenly appear out of nowhere?
It is likely that you have some carryover or contamination in your system. Contamination that creates ghost and carryover peaks can be introduced at different points, including sample preparation, introduction, and separation. The additional peaks can cause false positive identifications and/or inaccurate quantitative results. 
Join us as we discuss the most common sources of carryover and how to address them.
<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: Don’t Get Carried Away by Carryover: Troubleshooting GC Chromatography

Don’t Get Carried Away by Carryover: Troubleshooting GC Chromatography

The most common sources of carryover and how to address them.

Troubleshooting GC Chromatography

The content distribution of a pharma tablet will be analyzed.
<blockquote>
Presenter: Louis Tisinger, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Louis (Lou) Tisinger has a Ph.D. in Analytical Chemistry from Miami University in Oxford Ohio, where his graduate research involved the study of ATR imaging and microscope performance in vibrational spectroscopy. Most of his career has been related to pre- and post-sales support of FTIR spectrometers, microscopes, imaging systems, and thermal analytical instruments, focusing on analyzing customer samples, demonstrations, post-sales training, troubleshooting, and R&amp;D.
</blockquote>

Agilent: Analysis of Content Distribution of Pharma Tablets

Analysis of Content Distribution of Pharma Tablets

Quality of Pesticides analysis is critical to ensure food safety.
The classical workflow for pesticides uses QQQ for a suspect screening based on a specific list of compounds, during this webinar we will present a new workflow for a comprehensive pesticides screening.
This comprehensive approach combined targeted and untargeted methods using a high-resolution accurate mass Agilent 7250 GC/Q-TOF and the GC/Q-TOF accurate mass library of pesticides and environmental contaminants.
Thanks to the 7250 QTOF you will have more confident results in the most difficult matrix than when using a QQQ and for a nearly “unlimited” number of pesticides: only the size of your library is your limit. During this webinar we will also demonstrate how our screening tools and our high-resolution pesticide database simplifies the review of data whilst maximizing its value, to allow labs to quantitate priority targets and reliably screen for many more suspects. And finally, we will see how the structural elucidation capacity of the QTOF can also be used for identification of true unknown compounds.
By attending this webinar you will understand why a new workflow based on the Agilent 7250 QTOF and a high resolution pesticide database can be beneficial for your laboratory.
<h5>Highlights:</h5>
<ul>
<li>During this webinar we will present a new workflow for a comprehensive pesticides screening.</li>
<li>We will also demonstrate how our screening tools and our high-resolution pesticide database simplifies the review of data whilst maximizing its value, to allow labs to quantitate priority targets and reliably screen for many more suspects.</li>
<li>Discuss how the structural elucidation capacity of the QTOF can also be used for identification of true unknown compounds.</li>
</ul>
<blockquote>
Presenter: Laurent Pascaud (Product Specialist GC &amp; GC/MS, Agilent)
</blockquote>
<blockquote>
After 10 years of experience within the French Anti-Doping Agency, Laurent Pascaud joined Agilent Technologies in 2007.
</blockquote>
<blockquote>
He now has over 15 years of analytical development expertise, first as an applications engineer and then as a GC and GCMS product specialist in various chemical markets.
</blockquote>

Agilent: Easy Analysis of Hundreds of Pesticides in Complex Matrices with 7250 GCQTOF

Easy Analysis of Hundreds of Pesticides in Complex Matrices with 7250 GCQTOF

You will understand why a new workflow based on the Agilent 7250 QTOF and a high resolution pesticide database can be beneficial for your laboratory.

Analysis of Pesticides in Complex Matrices with 7250 GCQTOF

In Gas chromatography 90% of trouble occurs in the injection system.
In this troubleshooting session we will discuss the 10 most important maintenance points focusing on split/splitless injection systems. We will discuss the purpose and impact of the critical parts and setup used in split and splitless injection and how it impacts your results. We will then cover installation, peak shape, contamination sources for sample and system, carrier gas, maintenance and life time using practical examples.

Restek Corporation: Top 10 Maintenance Tips For Your GC Split/Splitless Injection System

Top 10 Maintenance Tips For Your GC Split/Splitless Injection System

In this troubleshooting session we will discuss the 10 most important maintenance points focusing on split/splitless injection systems.

Maintenance Tips For GC Split/Splitless Injection System

Join Us For This Innovative Oligo Virtual Event
Join some or all of the sessions over 13 &amp; 14 March.
In recent years a renewed interest in synthetic oligonucleotides has been piqued due to their potential in biochemical research and for therapeutic applications. This popularity has meant a growing need to develop robust approaches for analysis and purification of oligos, alongside an increased understanding of this class of compounds.
Across 2 days this educational virtual event will share key learnings around the analysis of synthetic oligonucleotides, providing expert insights from research discovery to production QA/QC. We invite you to join along with other scientists in this important field to revisit oligo fundamentals, discover tips and tricks, ask questions to experts, and discuss recent innovations in this fast-moving environment.
<h4>Agenda:</h4>
<h4>Day 2</h4>
<h5>10:00 - More details to follow</h5>
<h5>10:45 - Oligonucleotide and Biopharmaceuticals Raw Materials Identification by Raman SORS and UV-VIS Thermal Melt Identification</h5>
<ul>
<li>Paolo Scardina, Spectroscopy Product Specialist, Agilent Technologies</li>
</ul>
<h5>11:30 - Analysis of Elemental Impurities in Synthetic Oligonucleotides by ICP-MS</h5>
<ul>
<li>Sebastien Sannac, Atomic Spectroscopy Product Specialist, Agilent Technologies</li>
</ul>
<h5>11:55 - Exploring the Applications and Innovations of Gas Chromatography-Mass Spectrometry (GC-MS) in Biopharmaceuticals</h5>
<ul>
<li>Soma Dasgupta, Applications Engineer, Agilent</li>
</ul>
<h5>12:20 - Oligonucleotide Purity Analysis - Oligo Pro II</h5>
<ul>
<li>Leslie Friedmann, Product Manager, Agilent Technologies</li>
</ul>
<h5>13:05 - End of presentations</h5>

Agilent: OligoConnect: Linking Science, Innovation, and Therapeutics

OligoConnect: Linking Science, Innovation, and Therapeutics (Day 2)

Across 2 days this educational virtual event will share key learnings around the analysis of synthetic oligonucleotides.

OligoConnect: Linking Science, Innovation, and Therapeutics

Are you using Chromeleon Chromatography Data System (CDS) but don’t feel like an expert just yet? Are you interested in a CDS that is intuitive and user-friendly? Whether you’re a day-to-day user or just exploring new possibilities in the world of CDS, this webinar is tailored for you!
Join us and discover how the Chromeleon CDS can elevate your experience and make the tasks simpler.
<h5>What this session covers:</h5>
<ul>
<li>Fundamentals of Chromeleon CDS</li>
<li>Creation of custom reports</li>
<li>New features in Chromeleon 7.3.2 CDS</li>
<li>Benefits of upgrading from workstation to enterprise with the Ardia Platform</li>
</ul>
<blockquote>
Presenter: Seth Sheridan (Product Specialist III, Enterprise CDS, Americas, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Seth is an Enterprise CDS technical specialist who has supported Thermo Fisher Scientific’s Chromeleon software for over 3 years. Prior to this, he used Chromeleon and other CDS systems in labs at DuPont, DOW, and Eurofins. He holds a B.S. in Chemistry and Biochemistry and enjoys working closely with chromatographers to solve their software issues and improve their processes.
</blockquote>

Chromatography & Mass Spectrometry: Back to Basics – Tips and Tricks of Chromeleon CDS

Back to Basics – Tips and Tricks of Chromeleon CDS

Join us and discover how the Chromeleon CDS can elevate your experience and make the tasks simpler.

The global honey market size was valued at USD 9.01 billion in 2022 and is predicted to increase by 5.03% annually. Consequently, honey adulteration and counterfeiting are common practices around the world resulting in a negative impact on the honey industry and consumers. Currently, most fraud is committed by blending honey with one or more syrups however new adulteration techniques have been developed to bypass current testing methodologies.
There is a clear need to move to faster and smarter testing regimes beyond current minimal targeted approaches. In this webinar we present an enhancement to the well-established two-tier testing strategy which not only addresses fraud but also other key attributes such as quality, potency, and purity.
Utilizing field deployable FTIR spectroscopy for rapid and facile first tier screening, followed by High Resolution Accurate Mass (HRAM) analysis using <a href="https://lcms.labrulez.com/library?instrumentationItems=29-30-32&amp;search=honey">LC/Q-TOF</a> and lastly a <a href="https://gcms.labrulez.com/library?instrumentationItems=16&amp;search=honey">GC/Q-TOF</a> mass spectrometry methods. This work is representative of varieties of honey from several botanical origins across the globe and is designed to address multiple challenges facing the honey industry and end consumers. 
<h5>Learning Outcomes</h5>
<ul>
<li>The current strategies to assess honey authentication and adulteration.</li>
<li>Gain an understanding of the various challenges that exist from an industry perspective.</li>
<li>Understand the role of HRAM and chemometrics for confirmatory analysis and the steps involved to successfully develop and deploy such technology for routine analysis.</li>
</ul>
<blockquote>
Presenter: Sufyan Pandor (LC/MS Field Application Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Sufyan is currently finishing his PhD under the supervision of Professor Chris Elliott at the Institute of Global Food Security where he has developed several high throughput mass spectrometry-based workflows to address various analytical challenges in the food industry.Sufyan has been with Agilent Technologies for 12 years of which the last two he has spent working as an Automation Product Specialist covering the UK, Ireland, and Nordics. Previously his role as an LCMS Application Specialist was to support Life Science customers and support collaborations with both industry and academia.
</blockquote>
<blockquote>
Presenter: Sunil Pinnamaneni (Head of Research &amp; Development, Sanad Abu Dhabi)
</blockquote>
<blockquote>
Sunil is currently Head of Research &amp; Development at Sanad AD. Previously he was instrumental in obtaining RMP approval for UAE-produced honey to be able to be exported to the EU and UK for the first time. Beyond expertise from a regulatory perspective Sunil has a strong background in analytical chemistry coupled with management experience in both commercial and government sectors. He worked for one of the biggest manuka honey companies in New Zealand for a decade before joining the government in UAE to run their research operations on UAE honeys. Sunil is also the founder of two establishments: 1. Zealandia Power Foods, a fast-growing exporter of New Zealand Manuka honey to the Netherlands and UAE; 2. The Experiment Company which is an R&amp;D company working on cutting-edge research on active compounds in native New Zealand honey.
</blockquote>

Agilent: Honey authenticity and beyond, using a multi-tier testing regime to address the untold challenges in the honey industry

Honey authenticity and beyond, using a multi-tier testing regime to address the untold challenges in the honey industry

An enhancement to the two-tier testing strategy which not only addresses fraud but also other key attributes such as quality, potency, and purity.

Honey authenticity and beyond

Purge &amp; Trap technology is often used to achieve the legal detection limits of volatile and very volatile organic compounds in water samples. Especially in case of water intended for human consumption, the regulatory requirements are particularly stringent. When dealing with more complex matrices, headspace analysis offers a much cleaner approach compared to purging the sample. However, sensitivity could be limited without a suitable enrichment of the analytes before injection.
The technological developments in recent years on new headspace extraction/enrichment techniques, such as ITEX (In Tube Extraction), makes possible to achieve low detection limits for volatiles with a clean sampling approach, without purging. Different adsorbents can be used for ITEX depending on the analytical demand. Additionally, a suitable refocusing before transferring the sample into the chromatography column, provides narrow peaks, better signal-to-noise and enhanced sensitivity especially for very volatile organic compounds (VVOCs). This webinar gives an insight of the available technology along with various examples from a routine laboratory.
<h5>Who should attend:</h5>
<ul>
<li>Laboratory manager of environmental testing laboratories</li>
<li>Analysts who have to detect trace levels of VOCs and VVOCs in water</li>
<li>Analysts looking for a clean and sensitive sampling techniques for VOCs and VVOCs in water</li>
</ul>
<blockquote>
Presenter: Daniela Cavagnino (Product Marketing Manager, GC &amp; Autosampler, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Dr. Daniela Cavagnino received a Master Degree in Chemistry at the University of Milan, Italy. She started her career in gas chromatography at Thermo Fisher Scientific spending several years in the R&amp;D laboratories working on GC technology innovation and more than 15 years in product and marketing management roles promoting GC/GC-MS technology and applications.
</blockquote>
<blockquote>
Presenter: Petra Gerhards (Regional Marketing Manager EMEA GC &amp; GC-MS, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Petra Gerhards is a Regional Marketing Manager of GC and GC-MS at Thermo Fisher Scientific. She has more than 29 years of experience in the fields of GC-MS, SPE and LC-MS. Since joining the regional team, she has contributed to workflow solutions combining vials and closures with SPE solutions, GC-MS and LC-MS.
</blockquote>

ThermoFisher Scientific: Improvements for the analysis of very volatile organic compounds (VVOC) using static and dynamic headspace

Improvements for the analysis of very volatile organic compounds (VVOC) using static and dynamic headspace

Insight of the available technology for headspace extraction/enrichment techniques, such as ITEX, along with various examples from a routine laboratory.

Analysis of VVOC using static and dynamic headspace

Incoming materials inspection, or <a href="https://icpms.labrulez.com/webinars?search=raw+materials+identification+RMID">raw materials identification</a> (RMID), is critical to the production of high-quality industrial products. 
While spectroscopic RMID tests are often used in the chemical industry, they are less common in the polymer industry because many of the samples are not well-suited to commonly deployed technologies like <a href="https://icpms.labrulez.com/webinars?search=Raman">Raman</a> and <a href="https://icpms.labrulez.com/webinars?search=FTIR">FTIR</a>. This forces companies to either trust the label or rely on traditional wet-chemical tests for materials testing.
During this webinar, Omar Sallouh, Head of Quality Assurance &amp; Process Engineering at Rampf Polymer Solutions GmbH &amp; Co. Kg presents a faster and safer approach for quality testing of polyols, isocyanates and silicones. He has successfully implemented <a href="https://icpms.labrulez.com/webinar/2266">Near-Infrared</a> (NIR) spectroscopy in the QC laboratory to rapidly identify incoming materials and quantify their critical quality attributes.
Mr. Sallouh joins Dr. Adam J. Hopkins, Spectroscopy Product Manager at Metrohm USA, who will give a brief introduction to NIR, focusing on its advantages for material identification and comparing with alternative technologies. The event closes with a Q&amp;A session to address any questions asked during and after the webinar.
<blockquote>
Presenter: Omar Sallouh, M.Sc. (Head of QA &amp; Process Engineering, Rampf Polymer Solutions GmbH &amp; Co. KG)
</blockquote>
<blockquote>
Omar Sallouh has been working for RAMPF Polymer Solutions since 2018. He is responsible for Quality Assurance and Process Engineering.
</blockquote>
<blockquote>
He has a Master of Science in Chemistry from the Technical University of Dortmund.
</blockquote>
<blockquote>
Presenter: Adam J. Hopkins, PhD (Spectroscopy Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Dr. Adam J. Hopkins has nearly 20 years of experience as a spectroscopist. He got his Ph.D. in chemistry from the University of Oregon where he studied nonlinear optical spectroscopy under Geraldine Richmond. Prior to joining Metrohm USA, Adam worked developing spectroscopic solutions for standoff and noncontact sensing applications using Laser Induced Breakdown and Raman spectroscopy. Dr. Hopkins is a member of the American Chemical Society, Society for Applied Spectroscopy, Coblentz Society, and SPIE. He is the author of 19 papers and proceedings and is the author of three patents.
</blockquote>

Metrohm: Guaranteeing Product Quality: NIR Inspection of Polyols, Isocyanates and Silicones

Guaranteeing Product Quality: NIR Inspection of Polyols, Isocyanates and Silicones

Faster and safer approach for quality testing of polyols, isocyanates and silicones using Near-Infrared (NIR) spectroscopy

NIR Inspection of Polyols, Isocyanates and Silicones

In this session, discover how Wiley’s <a href="https://gcms.labrulez.com/products/1016">KnowItAll</a> saves hours of GC-MS manual analysis time by combining fast, flexible deconvolution with an integrated reference database search into a single, automated workflow to identify components.
In this session we will demonstrate through a series of live examples:
<ul>
<li><a href="https://gcms.labrulez.com/products/1016">KnowItAll’s</a> various <a href="https://gcms.labrulez.com/products/1020">methods for GC-MS analysis</a> and how they can impact your workflow. </li>
<li>How <a href="https://gcms.labrulez.com/products/1016">KnowItAll</a> is optimized for searching and review popular <a href="https://gcms.labrulez.com/products?category=249&amp;search=Wiley">GC-MS libraries</a>, such as the <a href="https://gcms.labrulez.com/products/886">Wiley Registry 2023</a>, <a href="https://gcms.labrulez.com/products/884">NIST</a>, <a href="https://gcms.labrulez.com/products/937">MMPW</a>, or <a href="https://gcms.labrulez.com/products/939">MS of Designer Drugs</a>.</li>
</ul>
This session is recommended for:
<ul>
<li>Scientists and chemists who use mass spectrometry or are interested in learning more about our capabilities. </li>
<li>Professors and students engaged in chemistry and mass spectrometry courses or lab work.</li>
</ul>
About KnowItAll:
KnowItAll combines all the tools and spectral databases you need for effective analysis into a single, easy-to-use interface to make your lab its most efficient. Compatible with over 130 instrument formats, it streamlines your entire workflow regardless of how many techniques and instruments you use. Learn more at <a href="sciencesolutions.wiley.com">sciencesolutions.wiley.com</a>
<blockquote>
Presenter: Dr. Leanna Ergin
</blockquote>
<blockquote>
Dr. Leanna Ergin is an Assistant Editor for Wiley Science Solutions, for which she helps create tools for spectroscopy, structural, and scientific standard reference data and helps create innovative software applications. Leanna completed her PhD in Clinical-Bioanalytical Chemistry from Cleveland State University, where she developed a protocol for processing hyperspectral image data that distinguishes the spectra, removes degeneracies caused by symmetry, and is generalized to work with any number of wavelength dimensions and spectra. The results are mapped to the full RGB colorspace of modern computer displays. Leanna joined Wiley in 2022.
</blockquote>