🎤 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

Although modern agriculture needs to be based on accurate real-time data on soil, plant, and environmental conditions, affordable, sufficiently sensitive, and robust monitoring devices for this purpose are currently missing. According to scientists, low-cost sensors based on new smart materials and printing technologies offer a suitable solution. The results of multidisciplinary research thus far and proposals for the development of these devices have been presented by researchers from Czechia, Great Britain, Spain, and the USA in a review article in the prestigious journal <a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-026-68778-6#Abs1">Nature Communications</a>.“Sensor technologies for monitoring plant health are still in their infancy. Only simple sensors capable of monitoring basic parameters such as pH, soil moisture, or temperature are commonly available on the market. However, if farmers are to face current challenges, including climate change, and ensure sufficient food for humanity, they need much more effective tools that will enable them to monitor, for example, various pathogens, including bacteria and fungi. In our opinion, a suitable solution is a combination of new smart materials and printing for the production of inexpensive, durable, and scalable materials,” said the article’s first author, David Panáček from CATRIN, who worked on the study during his internship at Imperial College London.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Soucasne_senzory_nestaci_Vedci_navrhuji_novou_cestu_ke_sledovani_zdravi_rostlin_b4014952a3.jpg" alt="CATRIN: David Panáček" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Soucasne_senzory_nestaci_Vedci_navrhuji_novou_cestu_ke_sledovani_zdravi_rostlin_b4014952a3.jpg 208w," sizes="100vw" width="1536" height="1152">Sensors for monitoring plant health, for example, lag behind similar devices used in human medicine. According to the authors, advances in materials science, which will enable the development of scalable sensor technologies, play a key role in this potential shift. “Printing techniques, including inkjet printing, screen printing, aerosol printing, 3D printing, and direct laser writing, offer flexible ways to produce flexible sensors, large-area sensors, and sensors integrated directly into plants. The review article summarizes recent advances in printable low-dimensional materials for agricultural sensors, analyzes their physico-chemical properties in relation to sensor performance, and discusses key challenges and future opportunities requiring interdisciplinary integration,” said one of the corresponding authors, Michal Otyepka.The research brought together materials scientists, chemists, biologists, sensing experts, and printing technology specialists. Materials research and the use of graphene-based smart materials were led by scientists from CATRIN at Palacký University and VŠB-Technical University of Ostrava. Plant biologists from CATRIN contributed their knowledge of plant development, their responses to stress conditions, and the monitoring of their properties. Researchers from Imperial College London took care of the electronics, while representatives from<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/companies/36"> CEITEC – VUT</a> focused on printing technologies. The team also included leading experts in sensing from the Catalan Institute of Nanoscience and Nanotechnology in Barcelona, and Joseph Wang of the University of California San Diego, the “father of sensing and electrochemistry,” also contributed his extensive knowledge.“This is a groundbreaking study on this topic, which has managed to attract some truly big names in their respective fields. Last but not least, the study demonstrates that interdisciplinarity at CATRIN gives rise to completely new and promising research topics, such as plant sensing and its use for studying plant-environment interactions and smart agriculture,” added another corresponding author, Nuria De Diego.

Current sensors are not good enough. Scientists propose a new way to monitor plant health

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

The Multidimensional Chromatography Workshop

The Czech Advanced Technology and Research Institute (CATRIN) at Palacký University is a cutting-edge scientific hub dedicated to advancing research in the fields of nanotechnology, biotechnology, and biomedicine. At its core, CATRIN boasts outstanding scientific teams, featuring international researchers. We emphasize interdisciplinarity, foster global collaborations, and work to translate our research findings into practical applications.

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Whether it be eating healthier or exercising more, we all set goals for the New Year. But are you also resolving to get better resolution this year with your GC columns?
Are you experiencing peak co-elution or would you simply like to obtain more resolution between your peaks?
Join us as we discuss methods and strategies for getting better resolution as your New Year&#39;s resolution.
<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: Get Better Resolution for your New Year’s Resolution: GC Separation Troubleshooting

Get Better Resolution for your New Year’s Resolution: GC Separation Troubleshooting

Join us as we discuss methods and strategies for getting better resolution as your New Year's resolution.

Get Better Resolution: GC Separation Troubleshooting

As the production and use of solar panels increases worldwide, there is an urgent need to find more effective and efficient photovoltaic materials testing techniques.
During this webinar, we will investigate how FTIR and UV spectroscopy can be used in a number of materials testing areas including material degradation, surface cleanliness, material identification and coating/adhesive thickness and quality analysis. We will also show how parameters relating to these applications can be measured effectively.
Attend this webinar to:
<ul>
<li>Gain an overview of the 4300 handheld FTIR system</li>
<li>Learn how to analyze photovoltaic material degradation and surface contamination</li>
<li>Understand the importance of material identification and coating/adhesive thickness testing</li>
</ul>
<blockquote>
Presenter: Donald Inglis (Product Specialist Handheld/Portable FTIR and Raman Systems, Agilent Technologies)
</blockquote>

Technology Networks: How To Test Photovoltaic Cells Using FTIR and UV Spectroscopy Techniques

How To Test Photovoltaic Cells Using FTIR and UV Spectroscopy Techniques

We will investigate how FTIR and UV spectroscopy can be used in a number of materials testing areas.

Test Photovoltaic Cells Using FTIR and UV Spectroscopy

This session will feature basics of FTIR measurements, using the most common sampling accessories.
<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 Technologies: Anyone Can Collect FTIR Spectra

Anyone Can Collect FTIR Spectra

This session will feature basics of FTIR measurements, using the most common sampling accessories.

Can the TopScan 4300 FTIR test liquid? What is the detection limit of the 4300 FTIR? Is ambient light an issue for Vaya Raman spectrometer?
Lets discuss some of the most common questions about Agilent Handheld spectrometers.
<blockquote>
Presenter: Yanqia Wang, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Dr. Yanqia Wang started working for Agilent Technologies Inc. as a FTIR application Engineer in 2013, providing pre-&amp;post-sale application support. The products he covers from Bench-top FTIR microscopes to various Mobile FTIR spectrometers. Dr. Wang received his PhD of analytical chemistry from Duke University in 2004, doing dynamic IR spectroscopy research. Then he joined Fitzpatrick Center for Photonics at Duke University, doing Tissue Raman spectrometer instrumentation. Since 2007, Dr. Wang worked for Avery Dennison Corp. as a spectroscopist, providing molecular analytical support to the research &amp; development.
</blockquote>

Agilent Technologies: Common Handheld FTIR and Raman Questions Answered

Common Handheld FTIR and Raman Questions Answered

Lets discuss some of the most common questions about Agilent Handheld spectrometers.

During this webinar, an expert panel will discuss the historical events that have resulted in the consolidation of the use of helium as the GC carrier gas of choice, and how those events may no longer apply to modern instrumentation. 
The panelists will discuss the benefits of migration to alternative carrier gases, including hydrogen and, more importantly, nitrogen, so that GC and GC-MS laboratories can eliminate their reliance on helium. Due to the cost of helium and increasing supply limitations, this topic is especially relevant, as some have estimated that helium may no longer be available for use in the chromatographic market within a relatively short space of time.
<h5>Key learning objectives</h5>
<ul>
<li>Learn about how the consolidation to helium as the GC carrier gas of choice has come about</li>
<li>Understand why helium reliance may cause a significant impact on the analytical testing market</li>
<li>Discover how GC-MS methodologies can be adapted to use nitrogen as a carrier gas, without sacrificing analytical performance</li>
<li>Understand why hydrogen may not be the best alternative to helium, in terms of GC carrier gas</li>
</ul>
<h5>Who should attend?</h5>
<ul>
<li>Laboratory analysts</li>
<li>Laboratory managers</li>
<li>Laboratory directors</li>
</ul>
<blockquote>
Presenter: Frank Dorman (Dartmouth College and Waters Corp)
</blockquote>
<blockquote>
Frank Dorman is currently Senior Business Development Manager at Waters, focusing on their global environmental business, and, concurrently, a resident scholar in the Chemistry Department at Dartmouth College in Hanover, NH. In his role at Waters, Dorman manages the research-focused environmental market, external collaborations, and interfaces with R&amp;D for new product development. Prior to this, he was an associate professor in the Department of Biochemistry and Molecular Biology (BMB) at Penn State University in University Park, PA. Dorman’s scientific interests are in gas and liquid chromatography and fundamental characterization, instrumentation and column development, and mass spectrometry and atomic spectroscopy applied to trace analysis in complex sample matrices.
</blockquote>
<blockquote>
Presenter: Jaap de Zeeuw (CreaVisions)
</blockquote>
<blockquote>
Located in The Netherlands, de Zeeuw has 42 years of experience in GC capillary technology, working for Chrompack, Varian and Restek. He has developed many PLOT columns and the first bonded WAX column. He has published more than 100 articles in the field of GC, related to column technology and applications. He is the originator for applying a new GC technique for fast GC-MS using a high vacuum inside the capillary column, for which several patents were granted. de Zeeuw retired from Restek in 2022 and started a new company called CreaVisions. CreaVisions offers GC-consultation and GC masterclasses, as well as a class for creative problem solutions, which helps participants to learn how to think outside the box to generate unique ideas.
</blockquote>
<blockquote>
Presenter: Chris English (Restek Corporation)
</blockquote>
<blockquote>
Chris English has managed a team of chemists in Restek’s Innovations Laboratory since 2004. Before this, he spent seven years as an environmental applications chemist and was critical to the development of Restek’s current line of volatile GC columns. Prior to joining Restek, he operated a variety of gas chromatographic systems, conducting method development and sample analysis for a global laboratory testing network. Chris holds a B.S. in Environmental Science from Saint Michael’s College, USA.
</blockquote>
<blockquote>
Presenter: Georgina Wynne Hughes (Editorial Team)
</blockquote>
<blockquote>
Georgina studied at Birmingham University where she gained a BSc in Biomedical Science, and an MSc by Research in Cancer and Genomic Sciences, which focused on defective autophagy in rare neurodegenerative diseases. As a member of the Editorial team, she now plays an integral role in shaping the content on SelectScience.
</blockquote>

SelectScience: Using nitrogen as a GC-MS carrier gas: Opportunities to eliminate reliance on helium

Using nitrogen as a GC-MS carrier gas: Opportunities to eliminate reliance on helium

The benefits of migration to alternative carrier gases, including hydrogen and, more importantly, nitrogen.

Using nitrogen as a GC-MS carrier gas

High-throughput laboratories face constant pressure to analyze more samples, even as resources shrink, and analytical challenges grow. New developments in intelligence and performance raise the gold standard in GC/MS to handle the complexity and demands of routine testing.
Recent challenges due to helium shortage can put your lab in a risky situation.
Hydrogen has some attractive benefits, such as increased speed and lower-temperature separations, but has traditionally been viewed as having performance drawbacks.
In this webinar series, we will focus on new technology advancements and best practices in GC/MS that reduce downtime and enhance lab productivity and performance. We will also present the new Agilent HydroInert source, designed to help minimize sensitivity loss and spectral anomalies associated with hydrogen gas.
<blockquote>
Presenter: Anastasia A. Andrianova (GC/MS Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Anastasia Andrianova is a GC/MS Applications Scientist in the Mass Spectrometry Division of Agilent Technologies, located in Wilmington, Delaware. She received a Ph.D. in analytical chemistry from the University of North Dakota (Grand Forks) in 2017 and a combined masters’ and bachelor’s degree in analytical chemistry from the Moscow State University (Moscow, Russia) in 2014. Anastasia has been at Agilent Technologies since 2018. She has authored or co-authored over 30 journal articles and application notes, as well as 1 patent in the field of analytical chemistry, focusing on chromatography and mass spectrometry. Anastasia is currently working in GC/MS applications in multiple areas with a focus on food and environmental analysis.
</blockquote>

Agilent Technologies: Tackling Helium Shortages with New and Novel Solutions

Discover the Possibilities: New Application Notes for Analysis of Pesticides with new GC/MS/MS

Analysis of Pesticides with new GC/MS/MS

Introducing the new &quot;Ultra-Fast Bites&quot; series - where you can get ultra-fast insights about the latest trends and hottest topics in bite-sized content to stay at the forefront of science. Herein, we will present the hot topic of concern about the screening of Ethylene Glycol (EG) and Diethylene Glycol (DEG) in medicinal syrup.
In Indonesia and Gambia, deaths among children have been reported relating to such contamination. This has caught the attention of the World Health Organization (WHO), hence leading to the issuance of a global alert on this issue. In this talk, our senior application chemist, Dr Chia Chee Geng will examine how the Shimadzu GCMS-QP2020 NX is the optimal solution for accurate qualification and quantitation of EG and DEG in medicinal syrup within a single injection.
Learning Objectives
<ul>
<li>Discover the high scan-speed capabilities of GCMS-QP2020 NX for screening analysis</li>
<li>Learn about the Fast Automated Scan/SIM Type (FASST) mode which enables consecutive collection of scan and single ion monitoring (SIM) data</li>
<li>How to accurately identify and quantify both EG and DEG in medicinal syrup with a single injection</li>
<li>How Shimadzu&#39;s technologies produce data of superior reliability and reproducibility</li>
</ul>
 
<blockquote>
Presenter: Dr Chia Chee Geng (Senior Product Specialist (GCMS), Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Dr Chia Chee Geng attained his Bachelor of Science (Chemistry) and Doctorate (Biochemistry) from the National University of Singapore (NUS). His wide exposure in the various fields of sciences enables him to communicate effectively with a larger group of scientists from different backgrounds. After graduating from NUS, he joined the industry as an Analytical Chemist, involved in projects that deal with small molecules traces analysis in the complex sample matrix, requiring hands-on experience in various kinds of mass spectrometry (Ion Trap, Q-Trap, timsTOF, Triple Quad). He is also experienced in optimizing and designing high throughput sample preparations process for LC and GC analysis via automation, in order to improve efficiency in routine workflow.Dr Chia Chee Geng loves learning the latest advancement in technology in the market, looking forward to sharing what he knows with the interested target audience.
</blockquote>

Shimadzu: Ultra-Fast Bites - Screening of Ethylene Glycol and Diethylene Glycol in Medicinal Syrup

Ultra-Fast Bites - Screening of Ethylene Glycol and Diethylene Glycol in Medicinal Syrup

How the Shimadzu GCMS-QP2020 NX is the optimal solution for accurate qualification and quantitation of EG and DEG in medicinal syrup within a single injection.

Ethylene Glycol and Diethylene Glycol in Medicinal Syrup

Raman spectroscopy is used around the globe for identification of unknowns, verification of raw materials, basic R&amp;D, and process monitoring and control. The most commonly deployed technology is based on 785 nm lasers and detectors that leverage innovations from the telecommunications boom in the 1990s. However, this technology has been fundamentally limited by fluorescence interference that overpowers the Raman signal. The most common ways to overcome fluorescence have all had significant drawbacks around cost, safety and sample preparation – until now.
Developed for first responders to help identify unknowns in street narcotics, eXTRaction (XTR) technology uses advanced digital signal processing to separate Raman data from a background. With XTR, 785 nm Raman can be extended to difficult-to-analyze systems.
In this webinar, Dr. Adam J. Hopkins and Elena Hagemann will explain how XTR works and show different use cases for both qualitative and quantitative measurements, including biodiesel and polyurethane production.
<h5>Who should attend?</h5>
<ul>
<li>QA departments looking to extend raw material identification outside the lab</li>
<li>Researchers looking for flexible Raman measurement solutions for a variety of materials</li>
<li>Anyone measuring complex media that is too fluorescent for 785 nm Raman spectroscopy</li>
<li>Process development engineers and scientists looking for upstream/development solutions that can scale with production</li>
</ul>
<h5>Key learning points</h5>
<ul>
<li>XTR processing enables Raman measurements of fluorescent materials</li>
<li>Quantitative measurement performance is not adversely impacted by XTR processing</li>
<li>Raw material ID performance is enhanced with XTR, with identification performance comparable to 1064 nm systems</li>
<li>Non-contact Raman measurements are possible from up to 1.5 meters with XTR enabled systems</li>
</ul>
<blockquote>
Presenter: Adam J. Hopkins, PhD (Spectroscopy Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Dr. Adam J. Hopkins is the Spectroscopy Product Manager at Metrohm USA. He has nearly 20 years of experience as a vibrational spectroscopist. He received his Ph.D. in chemistry from the University of Oregon where he studied nonlinear optical spectroscopy under Geraldine Richmond.
</blockquote>
<blockquote>
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>
<blockquote>
Presenter: Elena Hagemann (Applications Specialist, Metrohm USA)
</blockquote>
<blockquote>
Elena Hagemann is an Applications Specialist at Metrohm USA in Riverview, Florida. She earned her Master degree in Analytical and Bioanalytical Chemistry at the Applied University of Aalen, Germany, where she completed her studies with her Master thesis focused on Karl Fischer Titration, NIR Spectroscopy and Multivariate Data Analysis. Elena joined the Metrohm Group in August 2013 and started with Metrohm USA in January of 2018, focusing on Raman and NIR Spectroscopy. She performs internal as well as customer training.
</blockquote>

Metrohm: Fluorescence-Free Raman at 785nm

Fluorescence-Free Raman at 785nm

We will explain how XTR works and show different use cases for both qualitative and quantitative measurements, including biodiesel and polyurethane production.

Can the TopScan 4300 FTIR test liquid?  What is the detection limit of the 4300 FTIR? Is ambient light an issue for Vaya Raman spectrometer?

Did you ever wonder:
<ul>
<li>How much aspirin is in that aspirin tablet?</li>
<li>How much caffeine is in your favorite soft drink?</li>
<li>How much ethanol is in your whisky? Beer? Cantaloupe?</li>
</ul>
Not only are you about to find out the answer to those questions…but you will learn how to answer those questions for yourself!
In each 1—hour labinar, we will analyze an actual sample from beginning to end. And just like in real life, this will involve sample prep, setting chromatographic parameters, calibration, sample analysis and report generation … and it’s a lot easier than you think.
Show up and I will prove it to you!

Axion Labs and Training Institute: Live Sample Analysis from raw material to final report

Analyze This! Live Sample Analysis from raw material to final report

Join us for our 2023 live-labinar series where we will analyze real samples by HPLC and GC.

Analyze This! Live Sample Analysis from raw material to final report

Fluorescence-Free Raman at 785nm

Anyone Can Collect FTIR Spectra

Common Handheld FTIR and Raman Questions Answered

Common Handheld FTIR and Raman Questions Answered

Ultra-Fast Bites - Screening of Ethylene Glycol and Diethylene Glycol in Medicinal Syrup

Using nitrogen as a GC-MS carrier gas: Opportunities to eliminate reliance on helium

Get Better Resolution for your New Year’s Resolution: GC Separation Troubleshooting

Discover the Possibilities: New Application Notes for Analysis of Pesticides with new GC/MS/MS

How To Test Photovoltaic Cells Using FTIR and UV Spectroscopy Techniques

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