<p>🎤 <strong>Presenter</strong>: Christopher Freye (Los Alamos National Laboratory)</p><p>💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_1_Freye_10783a9cf3.pdf"><strong>PDF presentation</strong></a></p><h3><strong>Abstract</strong></h3><p><strong>Two-dimensional gas chromatography (</strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=2"><strong>GC×GC</strong></a><strong>) 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.</strong></p><h3><strong>Video Transcription</strong></h3><p>The presentation focuses on how <strong>advanced mathematical and chemometric methods</strong> can be used to extract meaningful information from <strong>highly complex chromatographic data</strong>, especially in <strong>multidimensional chromatography coupled with mass spectrometry (GC×GC-MS, LC-MS)</strong>.</p><h4><strong>Why traditional data analysis falls short</strong></h4><p>Modern multidimensional chromatography generates <strong>extremely large datasets</strong>, often containing <strong>billions of data points</strong>. Visual inspection, peak tables, or classical identification-based workflows are impractical—especially when:</p><ul><li>Samples are highly complex (e.g. petroleum, metabolomics, high explosives)</li><li>Most compounds are <strong>unknown unknowns</strong></li><li>The key question is not <i>what</i> the compounds are, but <strong>whether samples differ and how</strong></li></ul><p>Program managers and decision-makers are primarily interested in <strong>detecting statistically significant changes</strong>, not exhaustive compound identification.</p><h4><strong>Introduction of Alteration Analysis (ALA)</strong></h4><p>To address subtle, trend-based changes across series of chromatograms, the speaker introduces <strong>Alteration Analysis (ALA)</strong>, a chemometric approach adapted from spectroscopy and applied to chromatography.</p><p>ALA quantitatively evaluates how <strong>individual data points change across multiple samples</strong>, allowing detection of:</p><ul><li>Extremely subtle trends</li><li>Overlapping peaks</li><li>Changes hidden in noise or baseline interference</li></ul><p>Key ALA outputs include:</p><ul><li><strong>BAM (Basic Alteration Map):</strong> magnitude of change</li><li><strong>SAM (Systematic Alteration Map):</strong> linear changes</li><li><strong>AM (Alteration Map):</strong> nonlinear changes</li></ul><p>Even changes as small as <strong>1% per sample</strong> can be detected reliably, including peaks that are heavily overlapped.</p><h4><strong>Beyond detection: understanding relationships with 2D Correlation</strong></h4><p>Once statistically significant changes are identified, <strong>two-dimensional correlation analysis (2D-COR)</strong> is used to understand <strong>relationships between changing compounds</strong>, including:</p><ul><li>Whether compounds are correlated or anti-correlated</li><li>The <strong>sequence of changes over time</strong> (which changes happen first)</li></ul><p>This is especially critical for <strong>degradation and aging studies</strong>, where intermediate species may appear and disappear before the final state—information that traditional methods like Fisher ratio or PCA often miss.</p><h4><strong>Solving GC×GC challenges with tiling</strong></h4><p>GC×GC data introduces additional challenges due to:</p><ul><li>Peak misalignment</li><li>Exponential data growth during correlation calculations</li></ul><p>The presenter explains how <strong>tile-based approaches</strong> reduce data dimensionality, overcome alignment issues, and make ALA and 2D correlation computationally feasible—even for massive GC×GC-MS datasets.</p><h4><strong>Real-world application: explosive aging studies</strong></h4><p>The methodology was applied to <strong>aging and decomposition of high explosives</strong>, where:</p><ul><li>Over <strong>250 chemical changes</strong> were identified</li><li>Many intermediate species would have been missed using traditional comparisons</li><li>ALA combined with 2D correlation enabled reconstruction of <strong>degradation pathways</strong></li><li>The most significant change was <strong>not necessarily the first change</strong>, a critical insight for risk assessment and stability studies</li></ul><h4><strong>Key takeaway</strong></h4><p>By combining <strong>Alteration Analysis and 2D correlation</strong>, the approach:</p><ul><li>Detects statistically guaranteed chemical changes</li><li>Handles subtle, overlapped, and noisy signals</li><li>Determines <strong>magnitude, type, interrelationships, and order of changes</strong></li><li>Shifts chromatographic data analysis from identification-driven to <strong>decision-driven</strong></li></ul><p>This math-driven workflow enables faster, more reliable interpretation of complex chromatographic datasets and provides actionable insights for applications such as <strong>explosive aging, pharmaceutical degradation, and complex mixture analysis</strong>.</p><blockquote><p><strong>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.</strong></p></blockquote>

Discovery analysis for GCxGC trends using alteration and 2D correlation (Chris Freye, MDCW 2026)

<p><strong>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!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you technical note by <strong>Agilent Technologies, </strong>presentation by<strong> MDCW / University of Copenhagen </strong>and<strong> </strong>application notes by<strong> Shimadzu </strong>and<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: What Causes Spots on </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=19&amp;manufacturerItems=1&amp;search=PLOT"><strong>PLOT Columns</strong></a><strong>? Will It Affect the Performance of the Column?</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>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.</p><h3><strong>2. MDCW / University of Copenhagen: One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>The presentation introduces a novel <strong>all-samples-at-once, shift-invariant tri-linear tensor decomposition approach</strong> for the analysis of full-scale <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?search=GC%C3%97GC-VUV"><strong>GC×GC-VUV</strong></a><strong> datasets</strong>, 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.</p><p>At the core of the method is a <strong>shift-invariant tri-linear model</strong>, 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 <strong>accurate estimates of peak landscapes, VUV spectra, and relative peak areas</strong>, while remaining agnostic to retention-time variability. Importantly, the approach requires only a small number of tunable parameters, making it practical for routine use.</p><p>The method was demonstrated on a <strong>case study involving 14 petrochemical gas-oil samples</strong>, 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 <strong>high repeatability (RSD typically 3–9%)</strong> and strong correlation with established template-based reference methods.</p><p>Overall, the work demonstrates that <strong>one-shot, shift-invariant tensor decomposition</strong> 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.</p><h3><strong>3. Shimadzu: Py-Screener Ver. 3: Simultaneously Test for Substances Regulated Under RoHS, TSCA, and POPs</strong></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"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></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"><strong>Py-Screener</strong></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><p>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.</p><h4><strong>Analysis Process</strong></h4><p>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.</p><p>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.</p><h4><strong>Conclusion</strong></h4><p>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.</p><h3><strong>4. Thermo Fisher Scientific: Improving low carbon steel production in specialty steel processes</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>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.</p><h4><strong>Advantages of mass spectrometry&nbsp;</strong></h4><p>Traditional Non-Dispersive Infra-Red (NDIR) analyzers are used in many conventional steelmaking processes to measure CO and CO<sub>2</sub> , 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;</p><p>Paramagnetic analyzers can be used to measure O<sub>2</sub> , while thermal conductivity analyzers can be used to measure H<sub>2</sub> . 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 N<sub>2</sub> is calculated by difference, a result that suffers from the sum of the errors of the three analytical techniques.&nbsp;</p><p>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.</p><h4><strong>Precision of analysis&nbsp;</strong></h4><p>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"><strong>Thermo Scientific™ Prima PRO Mass Spectrometer</strong></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;</p><p>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;</p><p>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;</p><p>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.</p>

News from LabRulezGCMS Library - Week 07, 2026

<p><strong>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 </strong><a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-026-68778-6#Abs1"><i><strong>Nature Communications</strong></i></a><strong>.</strong></p><p>“<i>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</i>,” said the article’s first author, <strong>David Panáček</strong> from CATRIN, who worked on the study during his internship at Imperial College London.</p><p><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"></p><p>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. “<i>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</i>,” said one of the corresponding authors, <strong>Michal Otyepka</strong>.</p><p>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"><strong> CEITEC – VUT</strong></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.</p><p>“<i>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,</i>” added another corresponding author, <strong>Nuria De Diego</strong>.</p>

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

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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

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<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><strong>This 35-minute webinar gives a general outline of the applicability of infrared spectroscopy in the field of chemistry. The speakers briefly explain the basics of FT-IR spectroscopy and the according techniques to obtain molecular information. The goal is to give the audience a clear overview of the possible applications of FT-IR spectroscopy in chemistry. There will be a moderated live Q&amp;A session afterwards.</strong></p><h5><strong>Who Should Attend?</strong></h5></div><div><div><div><div><div><div><ul><li>PhD students</li><li>University staff</li><li>Laboratory managers</li><li>Junior professors</li></ul><h5><strong>Topics Discussed:</strong></h5></div><div><div><div><div><div><div><ul><li>FT-IR fundamentals and measurement techniques</li><li>reaction tracings</li><li>Investigation of catalytic processes</li><li>Crystallinity and polymorphism</li><li>Spectroscopy in the glovebox</li><li>FT-IR microscopy&nbsp;</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div><blockquote><p><strong>Presenter: </strong>Dr. Xia Stammer&nbsp;</p><p>Dr. Xia Stammer studied physical chemisty at Ruhr-Uni Bochum and KIT with a focus on surface functionalization and characterization.</p><p><strong>Presenter: </strong>Dr. Simon Hugo Schlindwein</p><p>Dr. Simon Hugo Schlindwein studied chemistry at the University of Stuttgart with a focus on organic phosphorus and sulfur chemistry.</p></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: FT-IR in Academia: Chemistry Applications

FT-IR in Academia: Chemistry Applications

This 35-minute webinar gives a general outline of the applicability of infrared spectroscopy in the field of chemistry.

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><strong>Our third and last part of the series "FT-IR Spectroscopy in Academia" is all about bio sciences. Martin Luft and Michel Stromereder begin their presentation with a brief look at the literature and continue by highlighting recent advances in protein research. More fundamental applications are also presented, with regular dips into adjacent topics to demonstrate the true value of FT-IR in the bio science.</strong></p><h5><strong>Goal of the Webinar:</strong></h5></div><div><div><div><div><div><div><p>Demonstrate the unique abilities and high relevance of FT-IR spectroscopy in bio science and provide the audience with a basic technical understanding of how proteins and other complex biological samples are analyzed.</p><h5><strong>Who Should Attend:</strong></h5></div></div></div></div></div><div><div><div><div><div><div><ul><li>PhD students, post-docs, professors</li><li>University staff and students</li><li>Biotech researchers</li><li>Biotech industry professionals</li><li>Bio science enthusiasts</li></ul><h5><strong>Topics Discussed:</strong></h5></div><div><div><div><div><div><div><ul><li>Proteins in biology, pharma, and food science</li><li>API and formulation development in pharma</li><li>Biochemicals and biopolymers in material science</li><li>Biofluids and tissue imaging in medical science</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><blockquote><p><strong>Presenter: </strong>Martin Luft (Application Specialist)</p><div><p>Martin Luft has been an application specialist in the field of FT-IR spectroscopy and its application in life science for more than 20 years.</p></div><p><strong>Presenter: </strong>Michel Stromereder (Product Manager)</p><p>Michel Stromereder joined Bruker as a product manager and is responsible for the life science solution portfolio of the INVENIO product line.</p></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: FT-IR in Academia: Bio Science Applications

FT-IR in Academia: Bio Science Applications

Learn about the unique role of FT-IR in biosciences and gain a basic understanding of how proteins and complex biological samples are analyzed.

<div><div><div><div><p><strong>As semiconductor technology proceeds towards nanoscale single crystalline devices, the requirements in material purity and manufacturing accuracy become more grave and demanding. Both semiconductor material R&amp;D and process analytical technology are essential to support the semiconductor line in its advancement.</strong></p><p>FT-IR stands out as an easy and effective tool to investigate the fundamentals of semiconductors among other techniques. It is non-destructive, fast and highly sensitive for impurity quantification or failure analysis.</p><p>In line with this, Bruker has held a webinar illustrating how FT-IR can assist in R&amp;D or process control by delivering in-depth analysis of semiconductor materials and devices.</p><h5><strong>Our Application Expert gives an Overview of:</strong></h5></div><div><div><div><div><div><div><ul><li>Silicon quality control using FT-IR</li><li>Room and low temperature carbon and oxygen quantification in Silicon</li><li>Shallow impurity quantification in Silicon</li><li>Low temperature photoluminescence for Si QC</li><li>Semiconductor device characterization and development (laser, diode, sensors etc.)</li><li>Phonon spectroscopy and photoluminescence spectroscopy for band structure studies.</li></ul><h5><strong>Who Should Attend:</strong></h5></div><div><div><div><div><div><div><ul><li>QC managers</li><li>Head of laboratories</li><li>Head of analytics</li><li>Lab technicians</li><li>Researchers</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Dan Wu (Application Manager at Bruker Optics since over 10 years.)</p></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: When IR Light Meets Semiconductor

When IR Light Meets Semiconductor

Bruker has held a webinar illustrating how FT-IR can assist in R&D or process control by delivering in-depth analysis of semiconductor materials and devices.

<p><strong>A broad range of techniques (such as XRD, AFM, XRM etc.) can be used to shed light on the working of energy storage materials, among which FT-IR enables time-resolved in-situ monitoring of (electro)chemical processes, e.g. in a lab-level battery model system.&nbsp;</strong></p><p>The combination of FT-IR spectroscopy with electrochemistry offers insight in the material activity and reaction process on a molecular level in addition to the electrochemical response of the system.</p><blockquote><p><strong>Presenter: &nbsp;</strong>Dr. Sergey Shilov (North America Product Manager, Science Business Unit, Bruker Optics)</p><p>Dr. Sergey V. Shilov is a Product Manager for North America at Bruker Optics. Sergey joined Bruker in 2001. He is responsible for the support and development of new applications for the Bruker research FTIR systems. He received his Ph.D. in 1992 from the Russian Academy of Sciences in Polymer Physics and his M.S. from St. Petersburg State University (Russia) in Physics in 1986. Alexander Von Humboldt Foundation (Germany) awarded him a research fellowship in 1996. Sergey published 37 papers in peer-reviewed journals. His research interests include time-resolved FTIR spectroscopy, surface science, polymer, and life-science applications.&nbsp;</p></blockquote>

Bruker: IR Spot on green energy, battery research and CO2 reduction

IR Spot on green energy, battery research and CO2 reduction

<p><strong>In this ~45 minute webinar Sebastian Primpke of the renowned Alfred-Wegener-Institute will tell you about the daily work of a microplastic researcher, the challenges in harmonization and why they use FT-IR imaging as the main tool. The session will conclude with a live Q&amp;A.</strong></p><div><h5><strong>Goals of the webinar:</strong></h5><ul><li>Provide insights into the work of experts in the field of microplastic particle analysis.</li><li>Attendees will learn about best practices, the future of microplastic analysis and the technologies involved.</li></ul><h5><strong>Topics discussed:</strong></h5><ul><li>Techniques used for microplastics analysis</li><li>Requirements for standardization and automation</li><li>Applicational example: drinking water</li><li>Applicational example: treated waste water</li><li>siMPle software and FT-IR imaging technology</li></ul><h5><strong>Who should attend:</strong></h5><ul><li>Microplastics Enthusiasts</li><li>Analytical Service Laboratories</li><li>Environmental Scientist</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Sebastian Primpke</p><div><p>Dr. Sebastian Primpke entered the field of microplastic analytics at the Alfred-Wegener-Institute Helmholtz Centre for Polar- and Marine Research in 2015. In his current research&nbsp; he is focused on the automation and harmonization of spectroscopic analyses of microplastic particles.</p></div><p><strong>Presenter: </strong>Dr. Marten Seeba</p><p>Dr. Marten Seeba graduated in chemistry from the University of Göttingen before joining Bruker as an application expert for FT-IR and IR laser microscopy. He is a point of contact for our customers and as such has gained a great deal of expertise in many applications such as microplastics, pharmaceuticals, tissue analysis and materials science.</p></blockquote></div>

Bruker: The harmonization of microplastics analysis and the role of FT-IR imaging

The harmonization of microplastics analysis and the role of FT-IR imaging

This webinar explores the work of microplastic researchers, challenges in harmonization, and why FT-IR imaging is key.

Harmonizing Microplastics Analysis with FT-IR Imaging

<div><div><div><div><p><strong>This webinar is aimed at the packaging industry, or more precisely, specialists involved in packaging in the food industry. In a first hands-on session, our host will first present two samples and then analyze them together with the audience.&nbsp;</strong></p><p>First, we will look for an EVOH layer in a multi-layer packaging film and then we will check the influence of the adhesive in a cold weld on a candy bar packaging. After that, the utility of FT-IR will be further illustrated briefly by other use-cases, before we continue with the question and answer session.</p><h5><strong>What you will learn about:</strong></h5></div><div><div><div><div><div><div><ul><li>FT-IR microscopy in packaging failure analysis</li><li>Multi-layer polymer films and very thin layers (EVOH)</li><li>Behavior of adhesives in complex matrices</li><li>Troubleshooting of food packaging</li></ul><h5><strong>What is the goal of the webinar:</strong></h5></div><div><div><div><div><div><div><ul><li>Demonstrate the utility of FT-IR microscopy</li><li>Showcase the importance of unbiased data</li><li>Highlight the unique advantages of IR imaging</li></ul><h5><strong>We will discuss:</strong></h5></div></div></div></div></div><div><div><div><div><div><div><ul><li>Application example: Multilayer-Film with EVOH layer smaller than 2 µm</li><li>Application example: Cold weld seal on a candy bar wrapper</li><li>Further application examples from packaging materials</li></ul><h5><strong>Who should attend:</strong></h5></div></div></div></div></div><div><div><div><div><div><div><ul><li>Research experts in food packaging development</li><li>QC specialists for food packaging</li><li>Polymer experts and researchers</li></ul><blockquote><p><strong>Presenter: </strong>Eric Klein, Bruker Optics (Sales &amp; Application / Compact Systems &amp; Micro Analysis)</p><p>Eric Klein started as an application specialist at Bruker in 2009 and has since taken on a leading role as solution expert in failure and root cause analysis using FT-IR microscopy. He has presented multiple webinars on the topic and likes to engage with the audience in Q&amp;A sessions.</p></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: Troubleshooting Food Packaging Materials by µ-FT-IR

Troubleshooting Food Packaging Materials by µ-FT-IR

This webinar shows how FT-IR microscopy supports the food packaging industry by analyzing multilayer films, adhesives, and solving common packaging issues.

<div><div><div><div><div><div><div><div><div><p><strong>FT-IR technique is an indispensable analytical tool in most chemical labs, analytical centers and quality control departments. FT-IR spectroscopy is an ease to use and non-destructive analytical method for verification, identification or quantification. To face the daily challenges arising from high sample amount, unknown materials and multiple (maybe unexperienced) users, you need a highly flexible FT-IR spectrometer with user-friendly automation and outstanding performance.</strong></p><p>Bruker cares about your need and presents you the INVENIO spectrometer platform to make your daily work easy and convenient. In the upcoming free-of-charge webinar on the 18th of March we will focus on the difficulties in analytical labs and explain which features of INVENIO can help in such situations.&nbsp;</p><h5><strong>Key Learning Objectives</strong></h5></div><div><div><div><div><div><div><p>The latest advances in the instrumentation and applications of vibrational spectroscopy for the chemical analysis of surfaces will be reviewed in this presentation with a thorough discussion of the following topics:</p><ul><li>Surface characterization techniques: ATR (attenuated total reflection), including GATR (grazing angle germanium ATR): External (specular) reflection, including IRRAS (infrared reflection and absorption spectroscopy); and DRIFTS (Diffuse Reflection Infrared Fourier Transform Spectroscopy)</li><li>Characterization of thin films and molecular monolayers deposited onto metallic, semiconductor, and dielectric substrates</li><li>Heterogeneous gas-solid catalysis studies of gases interacting with catalytic surfaces</li><li>Optimization of FT-IR instrument parameters for surface analysis</li><li>Techniques to reduce the spectral contribution of atmospheric water and CO<sub>2</sub></li></ul><blockquote><p><strong>Presenter: </strong>Dr. Sergey Shilov (North America Product Manager, Science Business Unit, Bruker Optics)</p><div><p>Dr. Sergey V. Shilov is a Product Manager for North America at Bruker Optics. Sergey joined Bruker in 2001. He is responsible for the support and development of new applications for the Bruker research FTIR systems. He received his Ph.D. in 1992 from the Russian Academy of Sciences in Polymer Physics and his M.S. from St. Petersburg State University (Russia) in Physics in 1986. Alexander Von Humboldt Foundation (Germany) awarded him a research fellowship in 1996. Sergey published 37 papers in peer-reviewed journals. His research interests include time-resolved FTIR spectroscopy, surface science, polymer, and life-science applications.&nbsp;</p></div></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: Analysis of Surface Chemistry by FT-IR Spectroscopy

Analysis of Surface Chemistry by FT-IR Spectroscopy

Bruker cares about your need and presents you the INVENIO spectrometer platform to make your daily work easy and convenient.

<div><div data-g-name="OverviewStage"><div><div><div><strong>No matter where you look, functional surfaces are part of your life. Whether it's your morning shave, the paint on your car or the anti-fingerprint coating on your cell phone - specially engineered surfaces play a central role in almost everything!</strong></div><div><div><div><div><div><div><p>In this webinar, our surface analysis expert Eric Klein will take you to his lab and work through typical examples of industrial surface analysis. We will show you the step by step analysis and troubleshooting of:</p><ul><li>Treated quality razor blades for consumers</li><li>Painted sheet metal from the automotive sector</li><li>Contaminated sheet metal before refinement</li><li>DLC coated tools and equipment&nbsp;</li><li>Cleanliness check of soldering and bonding pads</li></ul><h5><strong>You will learn about:</strong></h5></div><div><div><div><div><div><div><ul><li>How to elucidate the causes of surface damages</li><li>Which experimental technique should be used for certain samples types</li><li>Proper experimental procedure using FT-IR microscopy and imaging</li><li>The value of FT-IR in process troubleshooting and industrial QC</li></ul><h5><strong>We will cover the basics of:</strong></h5><ul><li>Surface Analysis and Troubleshooting</li><li>Infrared (FT-IR) Microscopy and Imaging</li><li>FT-IR Sampling Techniques</li></ul><h5><strong>Who should attend:</strong></h5></div><div><div><div><div><div><div><ul><li>Automotive QA/QC Specialists</li><li>Coating Experts and Surface Refiners</li><li>Industrial Manufacturers and Material Researchers</li><li>Analytical Service Laboratories</li></ul><blockquote><p><strong>Presenter: &nbsp;</strong>Eric Klein, Bruker Optics (Sales &amp; Application / Compact Systems &amp; Micro Analysis)</p><p>Eric Klein started as an application specialist at Bruker in 2009 and has since taken on a leading role as solution expert in failure and root cause analysis using FT-IR microscopy. He has presented multiple webinars on the topic and likes to engage with the audience in Q&amp;A sessions.</p></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: How to Utilize FT-IR for the Analysis of Coatings, Surface Treatments and Technical Cleanliness

How to Utilize FT-IR for the Analysis of Coatings, Surface Treatments and Technical Cleanliness.

In this webinar, our surface analysis expert Eric Klein will take you to his lab and work through typical examples of industrial surface analysis. 

Using FT-IR for Coatings, Surface Treatments & Cleanliness

<p><strong>A standard ATR measurement using FT-IR technique for the mid IR spectral range usually lasts a few seconds to half a minute. This is very convenient and fast for identification, verification of substance or similar routine analysis. But when it comes to applications, for which temporal resolution is required, e.g. kinetics studies, reaction monitoring, identification and separation of intermediate species or characterization of pulsed laser, time-resolved FT-IR spectroscopy (TRS) is mandatory.</strong></p><p>With up-to-date electronics, long-time experience and knowhow, Bruker as a FT-IR manufacturer can provide research spectrometers achieving a temporal resolution of a few ms , µs or even ns, depending on the applied TRS technique. The rapid-scan technique is limited to a time resolution in the low millisecond range and is widely used to characterize the kinetics of single shot chemical reactions. For repetitive kinetics, step-scan overcomes these limitations and reaches a time resolution down to the low nanosecond range. Interleaved TRS is a technique applicable to a certain class of repetitive kinetics, where the measurement time is used much more efficiently compared to step-scan. A Bruker research spectrometer can be equipped with all above TRS options. Depending on the application and the required temporal resolution, one of these options can be applied.</p><p>In the upcoming free-of-charge two-part webinar about TRS techniques you will learn about the functional principles, practical handling, instrumental setups and application fields of the time-resolved FT-IR techniques.</p>

Bruker: Different TRS Techniques of FT-IR

Different TRS Techniques of FT-IR

This free two-part webinar covers the principles, setup, handling, and applications of time-resolved FT-IR (TRS) techniques in research and practical use.

<div><p><strong>Thermal gravimetric analysis (TGA) is an ideal tool for the characterization of all kinds of organic and inorganic solids and liquids. Thermodynamic transitions, thermal stability, decomposition and chemical reactions can be detected and quantified with high accuracy over a broad temperature range. However, this method does not provide details about the chemistry behind the processes under study</strong>.</p><p>The combination of thermal analysis with infrared spectroscopy bridges this analytical gap. Fourier-Transform Infrared (FT-IR) spectroscopy is a classical tool for the identification and quantification of gases. This technique is based on the interaction of infrared radiation with the vibrating dipole moments of molecules. FT-IR yields a unique IR spectrum for each substance, except for homonuclear diatomic gases and pure metals</p><p>In a simple case, only one type of gas molecule is evolved with an applied temperature increase in the TGA. The evolved gas is flowed into the FT-IR and can be readily identified by searching its spectrum against a gas phase reference library. In a typical decomposition process, evolved fume is a mixture of gases. Different hardware and software approaches to identify the composition of complex gas mixtures will be presented with a thorough discussion of the following topics:</p><ul><li>Mixture analysis using library search</li><li>TGA-IR at reduced pressure&nbsp;</li><li>Spectra manipulation method for deconvoluting complex spectra (mixtures)</li></ul><p>Examples of applications will include the identification of plasticizers in polymers, PVC undercoating analysis, decomposition of&nbsp;PETN explosive, NHF propellant, and others.</p><blockquote><p><strong>Presenter: </strong>Dr. Sergey Shilov (North America Product Manager, Science Business Unit, Bruker Optics)</p><div><p>Dr. Sergey V. Shilov is a Product Manager for North America at Bruker Optics. Sergey joined Bruker in 2001. He is responsible for the support and development of new applications for the Bruker research FTIR systems. He received his Ph.D. in 1992 from the Russian Academy of Sciences in Polymer Physics and his M.S. from St. Petersburg State University (Russia) in Physics in 1986. Alexander Von Humboldt Foundation (Germany) awarded him a research fellowship in 1996. Sergey published 37 papers in peer-reviewed journals. His research interests include time-resolved FTIR spectroscopy, surface science, polymer, and life-science applications.&nbsp;</p></div></blockquote></div>

Bruker: To Evaluate Complex Gas Mixtures evolved during Thermal Decomposition

To Evaluate Complex Gas Mixtures evolved during Thermal Decomposition

Learn how combining TGA with FT-IR enables chemical analysis of evolved gases, including mixture analysis, spectral deconvolution, and practical applications.