🎤 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

Article

Application

Video

Presentation

Scientific article

Science and research

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.

CATRIN

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

Separation Science

Metrohm

Merck

The Analytical Scientist

Agilent Technologies

Phenomenex

Wiley

Shimadzu Corporation

Waters Corporation

In today’s fast paced laboratory environment two factors can have a big impact on how productive a lab is: speed of application and efficient use of gases. While helium is a great carrier gas for gas chromatography, issues with availability or cost can cause a lab to look at other possibilities that may be available from gas generators, such as hydrogen.
This webinar will discuss how to properly transition your method from helium to hydrogen carrier gas, along with consumables that you may want to consider changing as well, such as using a HydroInert source or switching to smaller diameter columns. We will also talk about underutilized available ways to make your gas last, such as using Gas Saver. And finally, we will go over tips and tricks on how to speed up your overall analysis method, to help ensure high sample throughput and maintain data integrity.
By attending this webinar you will:
<ul>
<li>Learn how to speed up your GC (MS) method</li>
<li>Learn how to translate GC (MS) methods from helium carrier gas to hydrogen</li>
<li>Gain a better understanding of strategies and recommended columns and supplies that can be implemented to speed up your GC(MS) method and what is necessary to translate a method to a different carrier gas</li>
</ul>
Who should attend:
Laboratory technicians, researchers, and scientists wishing to learn more about how to keep their GC(MS) system clean.
<blockquote>
Presenter: Vanessa Abercrombie (Gas Chromatography Applications Chemist, Agilent Technologies)
</blockquote>
<blockquote>
Vanessa is GC Applications Chemist at Agilent Technologies in Folsom, California, USA. Vanessa has a broad background in GC and GC/MS, including experience as an instrument chemist at Bode Technology in Virginia working under contract to the FBI’s Laboratory Division. Prior to that, Vanessa worked for ETS Labs in St. Helena, CA as an Analytical Chemist where she researched and developed quantitative separations by GC/MS and UHPLC for beer, wine and spirits. She holds a Masters of Forensic Science from The George Washington University and a Bachelor of Arts in Chemistry from Sonoma State University.
</blockquote>
<blockquote>
Presenter: Samuel Haddad (Application Development Chemist, Agilent Technologies)
</blockquote>
<blockquote>
Samuel Haddad is a GC Application Development Chemist at Agilent Technologies in Wilmington, Delaware. Samuel specializes in GC and GCMS applications of trace analysis in environmental and heavy matrix samples. His specialty includes sample preparation techniques to separate analytes from matrix components and extraction from a wide variety of matrix including water, fish, aquatic life, soil, and complex fluids. Samuel holds a Ph.D. in Environmental Science from Baylor University and a B.S in Biology from Southern Illinois University Edwardsville.
</blockquote>

Pixabay/PublicDomainPictures: How to Go Fast and Make your Carrier Gas Last

How to Go Fast and Make your Carrier Gas Last

We will discuss how to properly transition your method from helium to hydrogen carrier gas, along with consumables that you may want to consider changing.

Key learning objectives
<ul>
<li>Solutions through
</li>
<li>Liquid Chromatography (LC) Column Technology
</li>
<li>Gas Chromatography (GC) Column Technology
</li>
<li>Pesticides
</li>
<li>Nutraceuticals
</li>
<li>Vitamins
</li>
</ul>
<blockquote>
Presenter: Darshan Engineer (Senior Business Development Manager)
</blockquote>

Phenomenex: Chromatographic Solution for Food, Nutraceuticals & Vitamin Analysis

Chromatographic Solution for Food, Nutraceuticals & Vitamin Analysis

Liquid Chromatography (LC) Column Technology & Gas Chromatography (GC) Column Technology...

Chromatographic Solution for Food, Nutraceuticals & Vitamins

<h3>What is System Suitability?</h3>
Simply put – it is verification that your chromatographic system is suitable for use, but it is much more than that. System Suitability is generally used to verify if a chromatographic method is suitable for its intended purpose at not only the time it is executed, but also on the system, it was executed on too.
How do you know if you have met your requirements? It is imperative that you have evidence during your run that it is acceptable. 
How often should you have evidence that your sample is acceptable? In the mind of regulators, it should be done during every run, every time an analysis started. Collecting this evidence allows analysts the ability to use the data in a myriad of ways.
Key points of discussion will be:
1. Define System Suitability
2. Evolution of System Suitability
3. Examples of System Suitability Assessment
4. Impact of System Suitability on Data Integrity
Please join us for a live discussion as we explore this topic. As always, don’t forget to bring your Empower questions for this exclusive opportunity to ask our experts anything about Empower Software.
<blockquote>
Presenter: Neil Lander (Principal Product Manager, Waters Corporation)
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<blockquote>
Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Principal Marketing Manager focusing on Informatics solutions. He provides internal support for Empower Chromatography Data System and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.
</blockquote>
<blockquote>
Presenter: Lissa Wang (Informatics Business Development Specialist, Waters Corporation)
</blockquote>
<blockquote>
Lissa Aspiras Wang has been with Waters Corporation since 1998 when she started to be a Millennium/Empower Trainer in the Customer Education department. She has also held roles in Technical Service and Global Service and Support for Informatics. Currently, she is part of the Informatics Business Development team supporting the Informatics sales team for Empower and NuGenesis informatics portfolio. Prior to joining Waters, Lissa worked as an analytical chemist in the pharmaceutical, biotechnology and medical device industries for 8 years across the US and the globe.
</blockquote>

Waters Corporation: Empower Tips: Ask Me Anything About A Practical Approach to System Suitability

Empower Tips: Ask Me Anything About A Practical Approach to System Suitability

“No sample analysis is acceptable unless the requirements of System Suitability have been met.”

Empower Tips: A Practical Approach to System Suitability

Working with spectral and chromatographic data often results in noisy data. The good news is, there is a simple and efficient way to extract the signals from the noise, enabling a deeper and better understanding of processes and products.
If you are working on product or process development problems, you might need to utilise spectral and chromatographic data to understand and confirm that the process is performing optimally and generates the desired product. Frequently, we may summarise these data by using estimates based on peak height, position, and shape. But using these summaries inevitably causes us to lose some information about our process. This can reduce the insights we gain from our data analysis process and can negatively impact the quality of our decisions.
Spectral and related data are inherently noisy. This webinar will present a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products. If you are a scientist or engineer collecting spectral, chromatographic, or similar data and want to gain deeper insight into the trends and outcomes, this webinar is for you.
<blockquote>
Presenter: Florian Vogt (Systems Engineer JMP, JMP Statistical Discovery)
</blockquote>
<blockquote>
Before joining SAS Institute, Florian worked as a process engineer in research and development at Südzucker AG, where he was involved in process optimization, product development and process evaluation. Florian Vogt holds a Master of Science in Biotechnology.
</blockquote>
<blockquote>
Presenter: Emmanuel Romeu (Systems Engineer JMP, JMP Statistical Discovery)
</blockquote>
<blockquote>
Emmanuel is a pre-sales consultant for the chemical industry. Prior to joining JMP, Emmanuel worked for 25 years at Beckman-Coulter &gt; Diagnostic where he successively worked in industrialization, R&amp;D in medical diagnostics and finally as a statistician. He graduated in biological engineering from the University of Clermont-Ferrand and in statistics from the University of Strasbourg.
</blockquote>

Unsplash/Mika Baumeister: Making better use of Spectral and Chromatographic Data in product and process development

Making better use of Spectral and Chromatographic Data in product and process development

This webinar will present a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products.

Making better use of Spectral and Chromatographic Data

While the world of R&amp;D is moving towards digitalization, the unique challenges of analytical data management continue to cause difficulties.
In our 2022 Analytical data management survey we learned and confirmed that…
<ul>
<li>Analytical data is diverse with multiple techniques, instrument vendors, and software
</li>
<li>It is stored and managed in many applications
</li>
<li>The majority still find it difficult to access and share
</li>
</ul>
Analytical data is ingrained in numerous research, development, and QA/QC workflows. While a small minority are starting to apply it for data science applications, most struggle to provide easy digital access for its most common uses.
Join our panel of experts as they discuss the results of the 2022 survey; the challenges related to analytical data that cross organizations and industries; and lessons learned through their own experience.
Webinar Learning Objectives:
<ul>
<li>How analytical data heterogeneity can be addressed</li>
<li>Attributes of effectively managed analytical data</li>
<li>Considerations for using analytical data for data science projects</li>
</ul>
<blockquote>
Presenter: Nichola Davies (Director Structural Chemistry UK, Oncology R&amp;D, Astra Zeneca)
</blockquote>
<blockquote>
Nichola Davies completed her PhD studies in physical organic chemistry at the University of Cambridge, utilising NMR spectroscopy to investigate positively cooperative binding and the tightening of non-covalent bonds. Nichola then joined Pfizer (Sandwich, UK) as an NMR spectroscopist supporting the medicinal chemistry department, and implemented new techniques for structure elucidation and the application of novel NMR methodologies to support medicinal chemistry design strategies.
</blockquote>
<blockquote>
Having gained further experience in a wider range of analytical techniques, in 2014 she joined AstraZeneca (Cambridge, UK), as an NMR expert within the Oncology Chemistry R&amp;D Unit. Currently, as Director of the Structural Chemistry team, Nichola is delivering analytical techniques to support small molecule structural characterisation, purity and stability assessment, in addition to NMR free ligand conformational analysis and in-cell MS concentration assays.
</blockquote>
<blockquote>
Presenter: Mark Kwasnik (Global Product Manager, Analytical Labs, Solvay)
</blockquote>
<blockquote>
Mark Kwasnik is the Global Product Manager for the Analytical Labs at Solvay. In his role, Mark leverages digital tools in R&amp;I to reduce inefficiencies, increase responsiveness for customers. He works to accelerate the growth innovation pipeline by allowing the company’s scientists to access and use the thousands of data sets that are generated in Solvay’s R&amp;I labs.
</blockquote>
<blockquote>
Prior to his transfer to Solvay&#39;s digital department, he worked as an Analytical Lab Manager for the North American R&amp;D Center and as the Global Digital Transformation Manager for the Specialty Polymer business unit.
</blockquote>
<blockquote>
Mark received his B.S. in chemistry and forensic science from the University of Central Florida and a PhD in Analytical Chemistry, with a focus in BioAnalytical Mass Spectrometry, instrumentation development and informatics at the Georgia Institute of Technology.
</blockquote>
<blockquote>
Presenter: Graham A. McGibbon (Director, Strategic Partnerships, ACD/Labs)
</blockquote>
<blockquote>
Graham A. McGibbon is currently Manager of Scientific Solutions and Partnerships at Advanced Chemistry Development (ACD/Labs), a role which involves shaping innovative solutions with people in various industries, government organizations, academic institutions and enhancing relationships with organizations that supply analytical instrumentation and/or software.
</blockquote>
<blockquote>
Since obtaining a Ph.D. in Chemistry from McMaster University (Canada) Graham worked in drug discovery research at Boehringer Ingelheim conducting MS analyses of both small and large molecules; and researched modifications and interactions of bioactive small molecules and biopolymers as a faculty member at McMaster. Graham initially joined ACD/labs in 2007 as Product Manager leading the development of mass spectrometry software.
</blockquote>

The Analytical Scientist: How to Overcome the Challenges of Analytical Data Management

How to Overcome the Challenges of Analytical Data Management

The challenges related to analytical data that cross organizations and industries; and lessons learned through their own experience.

In this webinar, you will learn:
<ul>
<li>Learn about new possibilities for using Raman technology</li>
<li>Discover uses and benefits of Raman technology in quality control of cell culture media preparation</li>
</ul>
Detailed description: 
Process Analytical Technologies (PAT) are used to measure Critical Process Parameters (CCPs) which affect Critical Quality Attributes (CQAs). They are therefore particularly interesting for better process knowledge and control. Raman spectroscopy has already demonstrated very good results in real-time monitoring of main parameters of cell cultures. This technology could also be used in other steps of a manufacturing process. 
In this webinar, we will explore the possibilities of using Raman spectroscopy for quality control of cell culture media preparation. We will discuss the benefits of using this technology at this step and the demonstrated performances.
<blockquote>
Presenter: Nathan Gay (Bioprocess Applications Engineer)
</blockquote>
<blockquote>
Nathan Gay works as applications engineer at our company and is specialized in bioprocesses. He works on the implementation of Raman technology developing proofs of concept and researching new applications. Nathan has an engineer’s degree in biotechnology from the Ecole Nationale Supérieure de Technologie des Biomolécules de Bordeaux (ENSTBB), obtained in a work-study program with our company as an Industrialization Expert for the technology transfer between development and production in USP and DSP.
</blockquote>

MERCK: Monitoring and quality control of cell culture media preparation using Raman spectroscopy

Monitoring and quality control of cell culture media preparation using Raman spectroscopy

In this webinar, we will explore the possibilities of using Raman spectroscopy for quality control of cell culture media preparation.

Control of Cell culture media preparation Raman spectroscopy

Welcome to the &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. Alcohol abuse is a public health concern that often leads to criminal charges and legal consequences.
Tragedies fueled by alcohol — like vehicle crashes, accidents, assaults, robberies and fires—lead to injuries and fatalities. Blood alcohol concentration (BAC) analysis plays a critical role in investigating and prosecuting these incidents. Forensic toxicologists can determine the amount of alcohol in a person’s blood at the time the sample is taken. However, performing blood alcohol analysis can be time-consuming and lead to a backlog of cases.
In this presentation, Dr Jackie will introduce two techniques to help forensic scientists achieve fast, accurate BAC results using simultaneous GC-MS and GC-FID analysis.
Learning Objectives:
<ul>
<li>Blood alcohol concentration (BAC) analysis plays a critical role in investigating and prosecuting various incidents</li>
<li>Blood sample analysis is typically performed using routine gas chromatography (GC)</li>
<li>Increasingly, forensic labs are transitioning to a simultaneous GC-FID and GC-MS method for analysis</li>
<li>Without the right instrumentation, performing BAC can be time-consuming and lead to a backlog of cases</li>
</ul>
<blockquote>
Presenter: Dr Jackie (Assistant Product Manager (GC &amp; GCMS), Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Dr Jackie obtained his PhD in Analytical Chemistry from the National University of Singapore, He has garnered over 9 years of research, training, and facilitation experience. Dr Jackie meets scientists from various industries to share technical knowledge and collect feedback, understanding their problems and helping them find well-suited solutions in GC-related analyses.
</blockquote>

Shimadzu: Ultra-Fast Bites - Blood Alcohol Analysis in the 21st Century

Ultra-Fast Bites - Blood Alcohol Analysis in the 21st Century

Dr Jackie will introduce two techniques to help forensic scientists achieve fast, accurate BAC results using simultaneous GC-MS and GC-FID analysis.

Ultra-Fast - Blood Alcohol Analysis in the 21st Century

The identification of extractables, leachables and chemical migration is a challenge for manufacturers and suppliers of packaging materials, medical devices and food contact materials. E&amp;L analytics is already complex, but it is compounded by legislative and regulatory efforts to recycle plastics. Analytical methods need to screen for not only the known components but also identify degradants and other unexpected compounds. Manufacturers, producers and retailers face the challenge of keeping up with evolving requirements and developing and adapting strategies to reduce plastic waste.
Thus, ways are being explored to incorporate more recycled plastics into products and packaging while maintaining excellent safety, quality and performance characteristics. As they innovate and combine new materials, companies must demonstrate safety and confirm compliance before bringing their products to market. This again increases the demand and importance of highly effective analytics.
Participation is free of charge. Presentations delivered in English.
Register now for this virtual event and share knowledge and challenges with peers and E&amp;L experts.
Who Should Attend?
The webinars are focused on the needs of scientists working in the area of Extractables &amp; Leachables and Food Contact Materials. During these webinars, attendees will learn:
<ul>
<li>Upcoming and new regulations in the field of food, pharma, biopharma and medical devices</li>
<li>Targeted and non-targeted screening workflows by using Waters_Connect</li>
<li>Characterization and structural elucidation of unknowns</li>
<li>Choice of chromatographic techniques, extraction methods and analytical standards &amp; reagents</li>
</ul>
<h3>EPISODE 1 - Virtual European Workshop on Extractables &amp; Leachables for Pharma &amp; Biopharma</h3>
<h5>Presentation: A risk-based assessment approach to extractable/leachable studies of plastic components and systems used in (bio)pharmaceutical manufacturing</h5>
<h5>Presentation: The Pattern Targeting Application</h5>
Register now &amp; join the discussion!
<blockquote>
Presenter: Lijun Song (Bioprocess Validations Specialist, 3M)
</blockquote>
<blockquote>
Lijun Song is a Senior Validation Engineer at the 3M filtration validation laboratory located in Belgium. After her PhD in Medicinal Chemistry at Ghent University, she joined the 3M validation team in 2019. She focuses on filter compatibility validation and extractable/leachable studies.
</blockquote>
<blockquote>
Presenter: Mike Ludlow (Science Lead working in the CMCAnalytical and Materials Science Team, Drug Development Solutions (part of Alliance Pharma Inc))
</blockquote>
<blockquote>
Mike Ludlow is the Science Lead working in the CMCAnalytical and Materials Science Team within Drug Development solutions based in Cambridgeshire, UK (Formerly known as LGC). The team supports an extensive external client base providing a variety of chromatographic and spectroscopic techniques covering both organic and inorganic characterisation. He has over 20 year’s experience in pharmaceutical analysis primarily in the areas of extractables and leachables testing and the identification of impurities such as Nitrosamines in a GxP environment. Before working for DDS, he worked in the Corporate Analytical Function of ICI’s Chemicals and Polymers Division providing support to R&amp;D scientists developing speciality polymer products.
</blockquote>
<blockquote>
Presenter: Jeff Goshawk (Applied Informatics, Research &amp; Development, Waters Corporation)
</blockquote>
<blockquote>
Jeff holds a BSc degree in Mathematics from the University of Portsmouth and a PhD in Applied Mathematics from the University of Liverpool. He joined Micromass as a software developer in July 2000 and worked on the development of MassLynx and the application managers ChromaLynx, MarkerLynx and MetaboLynx. In 2013 Jeff changed role joining the Waters Scientific Operations organisation as a member of the toxicology group and was exposed to the disciplines of sample preparation and sample acquisition in addition to developing data processing workflows using UNIFI. In 2017 Jeff transitioned into the Applied Informatics group in Scientific Operations to help to solve problems not addressed by mainstream software solutions. It was in this role that development on the Pattern Targeting Application began.
</blockquote>

Waters Corporation: Virtual European Workshops on Extractables & Leachables for Pharma & Biopharma

Virtual European Workshops on Extractables & Leachables for Pharma & Biopharma

Register now for this virtual event and share knowledge and challenges with peers and E&L experts.

Extractables & Leachables for Pharma & Biopharma

In this webinar, we will be talking about the powerful capabilities of Agilent GC/Q-TOF (quadrupole time-of-flight GC/MS). Be it targeted screening, quantitative analysis or untargeted screening and versatile workflow capabilities, the Agilent GC/Q-TOF can do do it all with ease.
What you will learn:
1. The technical superiority of an Agilent GC/Q-TOF expanding horizons of analytical testing.
2. See how high resolution GC/Q-TOF meets or exceeds regulatory performance requirements for the analysis of dioxins, furans, and PCBs in food and environmental matrices. Also, learn about how GC/Q-TOF can detect metabolic changes in biological samples.
3. Find out how GC/Q-TOF mass spectrometry can increase your lab’s productivity through broad applicability, reduced training and maintenance costs.
Who should attend: 
Analytical Scientists, Analytical Chemists, Laboratory Managers, R&amp;D heads and Mass Spectrometry users in the food, environmental and life science research fields
<blockquote>
Presenter: Dr. Soma Dasgupta (Application Engineer GC/MS, Agilent Technologies)
</blockquote>
<blockquote>
She brings over 15 years of research experience with gas chromatography allowing her to explore many aspects of this analytical technique to solve questions across different sectors ranging from food safety, life science research, environmental research to pharmaceuticals. Prior to joining Agilent Technologies, she performed her doctorate research at the University of Pune where she concentrated on developing comprehensive methods for analysis of agro-chemicals in fruits and vegetables. On joining Agilent, she became part of a team responsible for developing solutions to meet customers&#39; analytical needs. She specializes in multi-residue method development; pesticides and environmental applications and genotoxic impurities in pharmaceuticals. She has more than 25 publications and application notes to her credit and a book chapter.
</blockquote>

Agilent Technologies: Escape the Trap with GC/Q-TOF

Escape the Trap with GC/Q-TOF

In this webinar, we will be talking about the powerful capabilities of Agilent GC/Q-TOF (quadrupole time-of-flight GC/MS.

For many applications in industry, the fluid bed granulator/dryer is an integral point in the manufacture of materials. Residual moisture must be kept within certain specifications to avoid fracturing of particles or caking (stickiness) of the bulk material. Current methods are slow and cumbersome, which can lead to damaged or degraded products. The ability to monitor the residual moisture content in-line is possible with near-infrared (NIR) spectroscopy which can improve the process efficiency, yield, and overall product quality.
Join us as Yusuf Sulub, Analytical Science Manager at SABIC, and Andrew Tatsch, Product Manager for Process Analytics Spectroscopy at Metrohm USA, present a robust real-time, in-line determination of high rubber graft (HRG) acrylonitrile butadiene styrene (ABS) resin moisture levels in a fluid bed dryer (FBD). They will discuss combining chemometrics and NIR spectroscopy to determine the moisture levels of HRG powders and explore how the calibration dataset was acquired from both offline and in-line FBD data to include dynamic process information.
Catch up with our experts during the live Q&amp;A session at the end of the presentation. 
<blockquote>
Presenter: Yusuf Sulub (Analytical Science Manager, SABIC)
</blockquote>
<blockquote>
Yusuf Sulub is the Analytical Science Manager at SABIC. He’s been with SABIC for over 11 years and during his tenure has developed and deployed myriad of spectroscopic based process analytical solutions for both pilot and manufacturing scale applications.
</blockquote>
<blockquote>
Yusuf holds a double major BSc degree in Mathematics and Chemistry from University of Nairobi. Yusuf also holds a PhD in Analytical Chemistry from the University of Iowa and has over 20 years of experience in chemometrics and process analytical technology.
</blockquote>
<blockquote>
Presenter: Andrew Tatsch (Process Spectroscopy Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Andrew Tatsch is the Product Manager for Process Spectroscopy at Metrohm USA in Riverview, FL. He has a PhD in Aerospace Engineering from the University of Florida. Andrew started with Metrohm in May 2022, and spent most of his previous career in R&amp;D and product development of analytical instrumentation.
</blockquote>

Metrohm: In-Line Moisture Determination in a Fluid Bed Dryer Using NIR

In-Line Moisture Determination in a Fluid Bed Dryer Using NIR

A robust real-time, in-line determination of high rubber graft (HRG) acrylonitrile butadiene styrene (ABS) resin moisture levels in a fluid bed dryer (FBD).