🎤 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

DataApex

Separation Science

Agilent Technologies

Thermo Fisher Scientific

SelectScience

Waters Corporation

You might be facing challenges with respect to material identification process and its qualification.
Now, with Agilent&#39;s trusted solution - Vaya Raman Spectometer, confidently identify pharmaceutical materials and meet the performance specifications of global pharmacopoeia.
<blockquote>
Presenter: Rob WIlls (Molecular Spectroscopy Specialist, Agilent Technologies)
</blockquote>

Agilent Technologies: Raw Material ID and Raman

Raw Material ID and Raman

Challenges with respect to material identification process and its qualification.

With Services Central, you can spend less time searching for support and more time focusing on your important work. This online platform has what you need to easily manage your instruments and equipment.
<ul>
<li>Submit a service request at any time: you and your colleagues can request service 24/7†
</li>
<li>Track service in real time: receive real-time updates on ticket status
</li>
<li>Troubleshoot with ease: instantly access your service history or operating manuals to help diagnose and resolve simple instrument and equipment issues
</li>
<li>Make it your own: customize instruments and equipment with nicknames, add favorites, and create your own groups and systems
</li>
</ul>
Register for the free live webinar to see how Services Central expedites your service:
<ul>
<li>Learn tips and tricks to expedite your service process, including a live walkthrough of how to add your instruments and key features to help you in your daily work
</li>
<li>Hear how users are taking advantage of Services Central to help maximize uptime
</li>
<li>See what’s coming next
</li>
</ul>

Thermo Scientific: Services Central Webinar

Services Central Webinar

What you need to easily manage your instruments and equipment.

Thermo Scientific Services Central Webinar

Headspace sampling is a powerful GC introduction technique that, when used appropriately, can reduce or eliminate most sample prep and improve throughput.
Several applications are defined using headspace samplers (USP &lt;467&gt;, blood alcohol concentration (BAC) for forensics, and volatiles in water), but there are many eligible candidates. Is headspace a better fit for your sample and analytes? You might be surprised! Let’s review the principles of headspace and start thinking about headspace potential.
All current and prospective GC-Headspace users can gain knowledge from this event. Consumables, columns, and accessories available for Agilent Headspace GC systems are discussed. New and existing software tools and intelligent features are demonstrated on the Agilent 8697 Headspace platform.
By attending this presentation you will:
<ul>
<li>Gain a better understanding of when it is more appropriate to use headspace versus liquid injection
</li>
<li>Learn how to add headspace capabilities to your laboratory in a practical and economical way
</li>
<li>Refresh your knowledge on the tools and workflows that the most advanced headspace labs use to maximize efficiency
</li>
</ul>
<blockquote>
Presenter: Adam Bivens (Product Manager - GC Headspace, Agilent)
</blockquote>
<blockquote>
Adam Bivens is the Product Manager of GC Headspace at Agilent. A chemical engineer turned chromatographer, Adam has over 10 years of experience in both liquid and gas chromatography products. Before joining Agilent, Adam was a customer using GC to analyze fuel cells and electrolyzers.
</blockquote>
<blockquote>
Presenter: Abbey Fausett (Applications Chemist - Gas Phase Separations Division, Agilent)
</blockquote>
<blockquote>
Abbey Fausett is an applications chemist within Agilent’s Gas Phase Separations Division, where she develops methods and training focused on new features released in GC and GC/MS systems. Before joining Agilent in 2011, she was an Agilent customer for 10+ years, dedicated to multi-technique method development and validation.
</blockquote>

Separation Science: How to decide between liquid or headspace sampling and recent improvements in headspace technology

How to decide between liquid or headspace sampling and recent improvements in headspace technology

Is headspace a better fit for your sample and analytes?

How to decide between liquid or headspace sampling

In Quality Control laboratories, your work is the final critical testing step to ensure you have the necessary quality for your end customers.
As QC Scientists, you are faced with an ever-increasing workload, tasked with analyzing more samples in a shorter period of time and quickly turning around required reviews before batches can be released for shipment. The Empower Tip of the Week blog was started in 2017 with the focus on using Empower more effectively to help make your workflow in the laboratory more efficient. 
As we think about your workflow in Quality Control, we will highlight tips to make the following easier:
<ul>
<li>Getting started quickly: Comprehensive Sample Set Methods to prime, purge and equilibrate your instrument
</li>
<li>Triggers to stop you if there is a problem: Interactive System Suitability to automatically stop your instrument if system suitability fails
</li>
<li>Streamlining data review: Configure Review to automatically load and apply the Method Set for easier data review
</li>
<li>Streamlining result review: Review Results by Exception to flag out of specification Results
</li>
<li>Leveraging electronic workflows: Use Electronic Signatures on Report Methods
</li>
<li>Identify issues and ongoing monitor: Use Control Charts for data tracking and trending
</li>
</ul>
Please join us for a live discussion. As always, don’t forget to bring your questions for this exclusive opportunity to ask our experts anything about Empower Software!
<blockquote>
Presenter: Neil Lander (Principal Product Manager - Informatics Group, Waters Corporation)
</blockquote>
<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 in Waters in the Informatics group. Neil provides internal support for Empower CDS software and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters Corporation, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.
</blockquote>

Waters Corporation: Empower Tips: Ask Me Anything About the Top Tips To Simplify Workflows and Your Day

Empower Tips: Ask Me Anything About the Top Tips To Simplify Workflows and Your Day

In Quality Control laboratories, your work is the final critical testing step to ensure you have the necessary quality for your end customers.

Empower Tips: Ask Me Anything About the Top Tips

In this session, join Pascal Fuchsmann, Head of Flavor Analytics at the Agroscope research center, and Stefan Cretnik, Product Manager at CTC Analytics as they discuss a fully automated approach to vacuum in-tube extraction (V-ITEX), a simple and fully automated technique using PAL system autosamplers.
The application examples include flavors, fragrances, off-flavors, pesticides, and biomarkers by extractions directly from the food sample matrix, such as honey, bee wax, cheese, onions, blood, and urine.
<blockquote>
Presenter: Ederina Ninga (Postdoc, Research Group for Analytical Food Chemistry, Danish Technical University)
</blockquote>
<blockquote>
Presenter: Gwen Lim (Specialist for automated sample preparation, CTC Analytics)
</blockquote>
<blockquote>
Presenter: Thomas Preiswerk (Senior Account Manager, CTC Analytics)
</blockquote>

SelectScience: Analysis of flavors, pesticides, and biomarkers directly from complex food matrix using the automated vacuum in-tube extraction (V-ITEX)

Analysis of flavors, pesticides, and biomarkers directly from complex food matrix using the automated vacuum in-tube extraction (V-ITEX)

Fully automated approach to vacuum in-tube extraction (V-ITEX).

Automated vacuum in-tube extraction (V-ITEX)

Ensuring the cleanliness and integrity of substrates before bonding or coating is a crucial application in numerous industries.
Contaminants, even in trace amounts, can significantly impact a substrate&#39;s surface, affecting its stiction (static friction) properties. This, in turn, can lead to compromised bond strength and adhesive properties, causing premature wear and, ultimately, material failure.
Our webinar will delve into the cutting-edge technology of the Agilent 4300 handheld FTIR spectrometer, specially equipped with the specular reflectance interface. This powerful tool enables precise identification of substrate materials and evaluation of the presence of contaminants. Moreover, it allows for accurate quantification of these contaminants, ensuring your substrates meet the highest quality standards.
Why attend this webinar?
<ul>
<li>Understand the importance of substrate analysis identifying and characterizing various substrate materials.
</li>
<li>Gain insights into the cutting-edge Agilent 4300 handheld FTIR spectrometer.
</li>
<li>Discover practical techniques for detecting and characterizing various substrate materials and contaminants.
</li>
</ul>
<blockquote>
Presenter: Donald Inglis (Product Specialist EMEAI for FTIR, Agilent Technologies)
</blockquote>
<blockquote>
Donald Inglis has worked in analytical instrumentation for over 30 years. He started his career as a field service engineer in chromatography and mass spectroscopy before moving into commercial sales; he has been a product specialist in portable and handheld FTIR and Raman systems at Agilent for over a decade. His role at Agilent involves advising customers on, and building solutions for, the various analytical challenges they face in their workspace.
</blockquote>

Agilent Technologies: Non-Destructive Analysis of Substrates and Contaminants by Handheld FTIR

Non-Destructive Analysis of Substrates and Contaminants by Handheld FTIR

Cutting-edge technology of the Agilent 4300 handheld FTIR spectrometer, specially equipped with the specular reflectance interface.

Non-Destructive Analysis of Substrates and Contaminant

Join us for this interactive panel discussion where laboratory professionals from across multiple markets and industries share success stories of how they navigated the journey to lab digitalization, from strategy and planning to implementation and optimization.
They will share lessons learned and best practices to best harness the power of digital technologies to improve efficiency, quality, and innovation in the lab.
Plus, you&#39;ll have the opportunity to engage with top managers from Agilent&#39;s lab digitalization team, who will share their expertise and insights on the latest trends, technologies, and best practices. They will provide an overview of Agilent&#39;s digital lab solutions and answer your questions about how to get the most out of your lab&#39;s transformation.
Key learning objectives
<ul>
<li>The benefits and challenges of lab digitalization, and how to overcome common obstacles
</li>
<li>Strategies for selecting and integrating the right digital solutions for your lab&#39;s unique needs
</li>
<li>Best practices for implementing and utilizing your digital lab environment
</li>
</ul>
Who should attend?
<ul>
<li>Laboratory Managers, laboratory directors, IT Managers, business IT, scientists, operations manager</li>
</ul>
<blockquote>
Presenter: Dr. Eliot Randle (SVP Digital Transformation, Digital Lab Consulting)
</blockquote>
<blockquote>
Dr. Eliot Randle is Senior Vice President of Digital Transformation Digital Lab Consulting (DLC). DLC is part of the ProPharma Group and provides independent strategic and business consulting to help organisations to transform their business through better use of data and technology.
</blockquote>
<blockquote>
Presenter: Eric Kemp (IT Manager, Modern Canna)
</blockquote>
<blockquote>
Eric Kemp is a seasoned professional with 15+ years of experience in IT and Analytical Chemistry. He has held diverse roles such as Lab Tech, Analyst, Systems Administrator, Entrepreneur, QA Manager, and IT Manager since 2008. In 2012, Eric founded an IT consulting business specializing in Laboratory Information Management Systems (LIMS) re-implementation for Florida markets. Joining Modern Canna in 2018, Eric has contributed expertise to drive innovation and efficiency in both fields. With a unique perspective at the intersection of IT and Analytical Chemistry, Eric brings valuable insights to the cannabis testing industry.
</blockquote>
<blockquote>
Presenter: Tony McKeown (LIMS Administrator, doTERRA Global)
</blockquote>
<blockquote>
Tony McKeown, from Cobh, County Cork, Ireland, is a highly accomplished individual with a strong background in IT. He graduated from Munster Technological University with a degree in IT and then embarked on a successful 12-year self-employment journey. In September 2021, Tony joined doTERRA Global, based in Blarney, Co Cork, Ireland, where he played a pivotal role in the organization&#39;s digital transformation initiative.
</blockquote>
<blockquote>
Tony&#39;s primary responsibility at doTERRA Global was to identify and implement a Laboratory Information Management System (LIMS) for its onsite laboratories. Leveraging his expertise and knowledge, he successfully sourced and introduced Agilent SLIMS in May 2023, marking a significant milestone in the company&#39;s digitalization journey.
</blockquote>
<blockquote>
Beyond his profession, Tony is an avid sports fan, and has a keen interest in politics and current affairs.
</blockquote>
<blockquote>
Presenter: Jean-Guillaume Baumann (Senior Product Marketing Manager, Digital Lab, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Jean-Guillaume joined Agilent Technologies in 2018 through the acquisition of Genohm as a Business Development Manager. Holding a Master’ degree in Mathematics, he graduated in 2015 from the University of Neuchâtel with a Master’s degree with honors in Mathematics with a specialization in computer science. Passionate about the business side also, he studies for an EMBA at University of Lausanne.
</blockquote>
<blockquote>
Presenter: Dr. Thomas Schmidt (Marketing Director, Digital Solutions, Software &amp; Informatics Division)
</blockquote>
<blockquote>
Thomas Schmidt is Marketing Director for Digital Solutions in the Software &amp; Informatics Division at Agilent Technologies. Originally a chemist by training, he conceptualized and managed multiple Laboratory Informatics solutions during his career covering all aspects of the laboratory operation, including workflow management, data management, sample management, instrument control, and laboratory execution systems. Thomas is a passionate ambassador for the Digital Laboratory.
</blockquote>
<blockquote>
Presenter: Dora Wells (Editorial Team, SelectScience)
</blockquote>
<blockquote>
Dora studied biomedical science at the University of Manchester, UK, and as a member of the editorial team, plays an integral role in helping to shape the content on SelectScience.
</blockquote>

LabRulez/AI: From Paper to Pixels: Success stories of laboratories embracing digitalization

From Paper to Pixels: Success stories of laboratories embracing digitalization

Success stories of how they navigated the journey to lab digitalization, from strategy and planning to implementation and optimization.

Success stories of laboratories embracing digitalization

Every organization has unique needs regarding their laboratory processes, workflows, and overall mission.
When considering ways to meet those needs, it is vital that an organization evaluates the potential resources they can implement, from laboratory instrumentation to software solutions. The goal is to add value and increase optimization. 
Selecting a software solution is a decision that will have a direct, intense impact on your lab. It will affect how efficiently your staff works, how streamlined your processes are, and how accurately your work can be accomplished. You want to make sure that the impact is positive. A laboratory information management system (LIMS) is a necessary resource because it can store and aggregate your data in one place, streamline your workflows and processes, and increase efficiency, reliability, and value – all which are limited when managed manually. It’s important to choose a solution that is easy-to-use, with minimal customization that addresses the key challenges of your industry and can integrate with existing instrumentation and software systems. Understand the key considerations when selecting a LIMS to best meet your goals and elevate your lab.
By attending this presentation you will learn about:
<ul>
<li>The value of choosing a LIMS solution that meets your laboratory’s requirements and needs
</li>
<li>The impact of making the right choice to elevate your lab’s productivity, efficiency, and ability to deliver high quality results
</li>
</ul>
<blockquote>
Presenter: Adam Collins (Senior Product Specialist, Digital Science Solutions, Thermo Fisher Scientific)
</blockquote>
<blockquote>
As Senior Product Specialist for Digital Science Solutions at Thermo Fisher Scientific, Adam specializes in providing software demonstrations and technical support for organizations across multiple industry sectors who are assessing Thermo Fisher Scientific’s LIMS solutions for their laboratory needs. He has over five years of experience as a technical product specialist for laboratory software. Adam has Doctor of Philosophy and Bachelor of Science degrees in Microbial Genetics and Microbiology from the University of Nottingham.
</blockquote>

Separation Science: How to choose the right LIMS solution

How to choose the right LIMS solution

Understand the key considerations when selecting a LIMS to best meet your goals and elevate your lab.

Free webinar focusing on new Clarity 9.0 features, including the improved workflow for batches, the new integration algorithm, and much more. We will add some Tips on how to use Clarity software effectively and provide space for your questions.

Clarity 9.0 Webinar 

Free webinar focusing on new Clarity 9.0 features, including the improved workflow for batches, the new integration algorithm, and much more.

In Part II we describe how Empower supports both Step 2 – Validation by translating your written SOP into an Empower Method Validation Manager (MVM) scheme and Step 3 – On-going verification through the setup of Trend reports in Empower

Waters Corporation: USP 1220 & ICH Q14-Q2(R2) Part II – Validation & Verification

USP 1220 & ICH Q14-Q2(R2) Part II – Validation & Verification

Validation by translating your written SOP into an Empower Method Validation Manager (MVM) scheme.