<p><strong>Jiří Nováček, a researcher and the deputy director for research infrastructure at CEITEC Masaryk University, shares insights into his journey with Brnoregion Microscopy. Sparked by a conversation with Jan Neuman, Nováček saw the potential of integrating Atomic Force Microscopy (AFM) into life-science electron microscopy. Today, he plays an active role in the community, collaborating with colleagues to enhance educational initiatives.&nbsp;</strong></p><h4><strong>How did you become involved with Brnoregion Microscopy?</strong></h4><p>My involvement with Brnoregion Microscopy began through my interaction with <a target="_blank" rel="noopener noreferrer" href="https://brnoregion.com/en/news/people-of-brnoregion-microscopy-jan-neuman-nenovis">Jan Neuman</a>. We were discussing the potential applications of their integrated Atomic Force Microscopy (AFM) module in the field of life-science electron microscopy. I was immediately intrigued by the idea of forming a microscopy community and saw great potential in it. Jan's vision of fostering stronger local connections among colleagues with complementary expertise resonated with me. This alignment of interests and the shared goal of advancing our understanding and capabilities in microscopy made me eager to join and contribute to the community.&nbsp;</p><h4><strong>What role do you play in the community?</strong></h4><p>Currently, I am an active member of the Community working group within Brnoregion Microscopy. In this role, I collaborate closely with Tomáš Vystavěl from Thermo Fischer Scientific on various educational initiatives. Our focus is on enhancing the educational aspects of the Microscopy community, looking for opportunities for deepening the knowledge and skills in the area of microscopy in our region. It's a rewarding experience to be part of a team that is dedicated to fostering learning and innovation in this field.&nbsp;</p><h4><strong>What benefits does it bring to you?</strong></h4><p>Being part of the Microscopy community has been incredibly enriching for me. It provides a platform for continuous learning and exposure to the latest advancements in microscopy technology and techniques. Working together stimulates new ideas and approaches, which are key to our ongoing development. Additionally, it offers the opportunity to network with experts and peers, opening doors to potential collaborations and projects. That’s how it works in our local innovation ecosystem… &nbsp;</p><h4><strong>Do you have any message for the community?</strong></h4><p>Whether you're already involved or just curious, join the upcoming <a target="_blank" rel="noopener noreferrer" href="https://brnoregion.com/en/events/120-seconds-meet-brnoregion-microscopy-24-11">120 seconds: Meet Brnoregion Microscopy</a> event. It's a fantastic opportunity to see first-hand how the Microscopy community can benefit you. These events are designed to showcase the practical applications of microscopy and the innovative work being done by our members.&nbsp;</p>

People of Brnoregion Microscopy: Jiří Nováček (CEITEC MUNI)

<p><strong>In the week from January 20, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><p><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></p><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>4 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Anton Paar: Fundamentals of Scratch</strong></h5><div><div><ul><li><div>Tu, 21.1.2025 20:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4449">Registration</a></div></li></ul></div><p>This webinar provides a thorough introduction to the theory and practice of instrumented scratch testing, a critical method for evaluating the mechanical properties of materials under stress.</p></div><h5><strong>2.&nbsp;Mettler-Toledo: Advanced Inspection of Canned Goods with X-ray Inspection</strong></h5><div><div><ul><li><div>We, 22.1.2025 09:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4658">Registration</a></div></li></ul></div><p>Join our webinar to discover the wide range of benefits that x-ray inspection offers canned applications - including advanced detection capabilities and integrity and completeness checks.</p></div><h5><strong>3.&nbsp;Bruker: Nanoscale Chemical Characterization of Semiconductor Materials and Devices using Photothermal AFM-IR</strong></h5><div><div><ul><li><div>We, 22.1.2025 17:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4681">Registration</a></div></li></ul></div><p>In this webinar, Bruker nanoscale IR spectroscopy experts show how photothermal AFM-IR can identify the local chemistry of defects.</p></div><h5><strong>4.&nbsp;Agilent Technologies: Using LDIR for Advanced Microplastics Characterization</strong></h5><div><div><ul><li><div>Th, 23.1.2025 09:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4683">Registration</a></div></li></ul></div><p>This session will highlight the advanced features of LDIR technology and its critical applications in analyzing microplastics within various matrices.</p></div><h5><strong>5.&nbsp;LECO: Optimization of Combustion Methods for Determination of Low-Level Nitrogen-Protein in Food</strong></h5><div><div><ul><li><div>Th, 23.1.2025 16:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4686">Registration</a></div></li></ul></div><p>In this webinar, Lloyd Allen, Ph.D., LECO's Director of the Technical Services Laboratory, will share practical insights on overcoming challenges using advanced combustion instruments.</p></div><h5><strong>6.&nbsp;Agilent Technologies: Different Cones / Nebulizers / Sample Introduction Systems .. Where and When to Use them</strong></h5><div><div><ul><li><div>Th, 23.1.2025 20:00 CET</div></li><li><div><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4546">Registration</a></div></li></ul></div><p>Different Cones / Nebulizers / Sample Introduction Systems .. Where and When to Use them</p></div>

Webinars LabRulezICPMS Week 4/2025

<p><strong>The goal of this study is to advance molecular epidemiology by integrating and analyzing large-scale population data from two complementary platforms: quantitative NMR spectroscopy for 209 lipoprotein measures and LC-MS/MS for 809 lipid classes and species. Together, these datasets encompass 1018 molecular measures across 7830 participants from two population cohorts. The study aims to elucidate the molecular and compositional relationships within the circulatory lipid transport system and their connections to physiological and clinical characteristics.</strong></p><p>Through cluster analyses and unsupervised neural network techniques (self-organizing maps), the study identifies inherent links between deep molecular data and population health traits, including cardiometabolic risk factors such as lipoprotein lipids, apolipoprotein B, ceramides, and oxidized lipids. Notable findings include the consistent cardiometabolic risk associations of triglyceride species across the lipoprotein cascade and the intricate metabolic profiles of cholesteryl ester species, which vary in their risk implications. This work highlights the unprecedented detail and compatibility of combined omics methodologies, paving the way for comprehensive molecular insights and new opportunities in large-scale population health studies.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229"><strong>Personalized Profiling of Lipoprotein and Lipid Metabolism Based on 1018 Measures from Combined Quantitative NMR and LC-MS/MS Platforms</strong></a></h4><p>Siyu Zhao, Corey Giles, Kevin Huynh, Johannes Kettunen, Marjo-Riitta Järvelin, Mika Kähönen, Jorma Viikari, Terho Lehtimäki, Olli T. Raitakari, Peter J. Meikle, Ville-Petteri Mäkinen, Mika Ala-Korpela</p><p>Analytical Chemistry, Vol 96/Issue 52</p><p><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229">https://doi.org/10.1021/acs.analchem.4c03229</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p>&nbsp;</p><p class="cke-user_style-important"><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><h3><strong>Abstract</strong></h3><p>Applications of advanced omics methodologies are increasingly popular in biomedicine. However, large-scale studies aiming at clinical translation are typically siloed to single technologies. Here, we present the first comprehensive large-scale population data combining 209 lipoprotein measures from a quantitative NMR spectroscopy platform and 809 lipid classes and species from a quantitative LC-MS/MS platform. These data with 1018 molecular measures were analyzed in two population cohorts totaling 7830 participants. The association and cluster analyses revealed excellent coherence between the methodologically independent data domains and confirmed their quantitative compatibility and suitability for large-scale studies. The analyses elucidated the detailed molecular characteristics of the heterogeneous circulatory macromolecular lipid transport system and the underlying structural and compositional relationships. Unsupervised neural network analysis─the so-called self-organizing maps (SOMs)─revealed that these deep molecular and metabolic data are inherently related to key physiological and clinical population characteristics. The data-driven population subgroups uncovered marked differences in the population distribution of multiple cardiometabolic risk factors. These include, e.g., multiple lipoprotein lipids, apolipoprotein B, ceramides, and oxidized lipids. All 79 structurally unique triglyceride species showed similar associations over the entire lipoprotein cascade and indicated systematically increased risk for carotid intima media thickening and other atherosclerosis risk factors, including obesity and inflammation. The metabolic attributes for 27 individual cholesteryl ester species, which formed six distinct clusters, were more intricate with associations both with higher─e.g., CE(16:1)─and lower─e.g., CE(20:4)─cardiometabolic risk. The molecular details provided by these combined data are unprecedented for molecular epidemiology and demonstrate a new potential avenue for population studies.</p><p>Lipoprotein lipids have had a central role in clinical risk assessment for cardiometabolic diseases since the 1950s. <a href="javascript:void(0);" aria-label="reference 1">(1)</a> The realization that <sup>1</sup>H NMR spectroscopy would be inherently suited for lipoprotein analytics took place in the early 1990s. <a href="javascript:void(0);" aria-label="reference 2">(2)</a> In addition to the fundamental advantages of <sup>1</sup>H NMR spectroscopy in producing quantitative data, the spherical monolayered structure of lipoprotein particles provides a compelling attribute that the chemical shifts of lipid molecules transported by these particles are dependent on the particle diameter. This phenomenon arises from the orientational order of the surface lipids and the resulting anisotropy of the magnetic susceptibility, and leads to distinctive particle size-dependent frequency shifts. This facilitates comprehensive lipoprotein analytics that is pertinent to the metabolic constituents of the lipoprotein cascade. Practical applications and statistical considerations have indicated that 14 lipoprotein subclasses and their main lipid constituents can be robustly quantified. <a href="javascript:void(0);" aria-label="reference 3 and 4">(3,4)</a> Multiple commercial methodologies have also been developed. <a href="javascript:void(0);" aria-label="reference 5 to 7">(5−7)</a> Here we applied a platform that has been widely applied in large-scale epidemiology and genetics over the last 15 years with some 500 publications and 2 M samples analyzed, including all the 0.5 M serum samples in the UK Biobank. <a href="javascript:void(0);" aria-label="reference 3, 5 and 8">(3,5,8)</a> This particular platform has also played a key role in yielding open access genetic data, with the most recent genome-wide association study meta-analysis being carried out in 136,000 individuals. <a href="javascript:void(0);" aria-label="reference 9">(9)</a></p><p>Mass spectrometry based lipidomics methodologies have been developed independent of the above and are technologically more challenging than the applications of <sup>1</sup>H NMR spectroscopy. <a href="javascript:void(0);" aria-label="reference 10 to 12">(10−12)</a> Nevertheless, epidemiological applications have become feasible over the recent years and clinical translation has been suggested, for example, with respect to assessing cardiometabolic risk <a href="javascript:void(0);" aria-label="reference 13 and 14">(13,14)</a> and cognitive impairment. <a href="javascript:void(0);" aria-label="reference 15">(15)</a> Initial genetic studies have also been published. <a href="javascript:void(0);" aria-label="reference 16 and 17">(16,17)</a></p><p>The NMR spectroscopy and MS lipidomics approaches to lipid characterization and quantification are fundamentally different (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>). In NMR the serum sample is directly analyzed with the lipoprotein particles intact; this allows quantification of the comprehensive and specific data on the lipoprotein subclasses and lipids. <a href="javascript:void(0);" aria-label="reference 18">(18)</a> Unlike NMR, LC-MS/MS lipidomics calls for lipid extraction of the serum samples as an integral prerequisite for the analyses. <a href="javascript:void(0);" aria-label="reference 19">(19)</a> The lipidomics sample preparations thus represent pooled mixtures of all the lipid molecules from all the circulating lipoprotein particles. All the information from the specific lipoprotein origin of a certain lipid in the circulation is lost in the extraction phase. However, with LC-MS/MS hundreds of unique lipid species can be analyzed from dozens of different molecular lipid classes. <a href="javascript:void(0);" aria-label="reference 12 and 20">(12,20)</a></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2024_96_52_20362_20370_Figure_1_Schematic_illustration_of_the_methodological_differences_and_analytical_characteristics_between_1_H_NMR_and_LC_MSMS_lipidomics_and_their_molecular_views_into_serum_b9907a5e30.jpeg" alt="Anal. Chem. 2024, 96, 52, 20362-20370: Figure 1. Schematic illustration of the methodological differences and analytical characteristics between 1H NMR and LC-MS/MS lipidomics and their molecular views into serum lipids. (A) The lipoprotein analysis with NMR is performed directly from the intact serum sample. (B) For the LC-MS/MS analysis all the lipids need to be extracted to a homogeneous lipid-soluble mixture. This allows LC-MS/MS to reach detailed molecular quantification, however, as a total serum concentration without any information on the originating lipoproteins. (C,D) The NMR analysis gives molecular information on 14 lipoprotein subclasses with the abundant core and surface lipids quantified. The percentages depict the compositional variation of these lipids in different lipoprotein particles." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2024_96_52_20362_20370_Figure_1_Schematic_illustration_of_the_methodological_differences_and_analytical_characteristics_between_1_H_NMR_and_LC_MSMS_lipidomics_and_their_molecular_views_into_serum_b9907a5e30.jpeg 192w," sizes="100vw" width="947" height="771"></p><p>Lipoprotein particles are the sole transport vehicles for all lipid molecules in serum, <a href="javascript:void(0);" aria-label="reference 18, 21 and 22">(18,21,22)</a> though albumin contains the bulk of free fatty acids and acylcarnitines, and transports also various lyso-type of lipid molecules. <a href="javascript:void(0);" aria-label="reference 23 and 24">(23,24)</a> The NMR and the LC-MS/MS data on serum essentially represent the same lipids as noted by Ghorasaini et al. <a href="javascript:void(0);" aria-label="reference 25">(25)</a> The NMR provides the size-resolution and metabolic information on lipoprotein particles (209 measures) and the LC-MS/MS lipidomics opens up a prolific and detailed molecular view on all the circulating lipids (809 measures).</p><p>These different methodologies and molecular views to study serum lipids have independently advanced toward large-scale population studies. Here, we integrate these state-of-the-art data─over 1000 quantitative molecular lipid measures per individual─in two large-scale population cohorts of over 7800 participants. These data reveal the fundamental relationships between the lipoprotein subclass cascade and metabolism (NMR) and the plethora of specific molecular information (LC-MS/MS). The molecular and metabolic corollaries are numerous, and we elaborate on some pertinent findings. Among the various analyses we also demonstrate the admirable coherence within the independent experiments and data domains. It is also uncovered─via data-driven, unsupervised neural network analysis─that these molecular lipid measures per se can be utilized for metabolically and clinically meaningful subgrouping of populations. The results illustrate that these combined comprehensive data lead to improved molecular characterization of population-level metabolic health and cardiometabolic risk.</p><h3><strong>Materials and Methods</strong></h3><h5><strong><sup>1</sup>H NMR Spectroscopy</strong></h5><p>We applied an NMR platform that has been widely used in epidemiology and for which the general methodological issues have been published. <a href="javascript:void(0);" aria-label="reference 3, 5, 8, 9 and 18">(3,5,8,9,18)</a> The separation of lipoprotein subclasses by proton NMR spectroscopy is based on particle size, <a href="javascript:void(0);" aria-label="reference 2">(2)</a> the platform resolution being 14 subclasses (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c03229#fig2" data-tab="pane-pcw-Figures" id="">Figure 2</a>). <a href="javascript:void(0);" aria-label="reference 3 and 18">(3,18)</a> Independent verification for the number of subclasses has been published by Mihaleva and co-workers with an in-depth handling of statistical grounds. <a href="javascript:void(0);" aria-label="reference 4">(4)</a> Particle (P), phospholipid (PL), free cholesterol (FC), cholesteryl ester (CE), and triglyceride (TG) concentrations are quantified for all 14 subclasses, also allowing calculation of the relative lipid composition for each lipoprotein subclass. The platform also provides all key clinically used lipid measures (e.g., total TG, cholesterol, and HDL-C) as well as apolipoprotein B (apoB) and A-I (apoA-I) concentrations. In total 209 lipoprotein-related measures were analyzed (98 concentration and 70 compositional measures from 14 lipoprotein subclasses, 19 clinical lipid measures, and 22 measures related to fatty acids, average particle sizes, and apoA-I and apoB).</p><h5><strong>LC-MS/MS Mass Spectrometry</strong></h5><p>Serum lipids were extracted as previously described. <a href="javascript:void(0);" aria-label="reference 19">(19)</a> The LC-MS/MS profiling was performed using the standardized methodology described recently by Huynh et al. <a href="javascript:void(0);" aria-label="reference 12">(12)</a> and updated with a larger set of targets. The mass spectrometric details and parameters are given in the <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c03229/suppl_file/ac4c03229_si_001.pdf">Supporting Information</a>.</p><h3><strong>Conclusions</strong></h3><p>The presented combination of lipoprotein and lipid data from NMR spectroscopy and LC-MS/MS lipidomics led to an unprecedented metabolic and molecular detail with over 1000 measures per person in a population setting of over 7800 individuals. The analyses demonstrated notable coherence between the data from inherently different spectroscopic techniques. The data-driven analyses revealed multiple confirmatory and novel molecular results in relation to systemic lipid metabolism and illustrated the power of all-inclusive lipid data in understanding cardiometabolic population health, related clinical factors, and disease risk. The analyses emphasized the augmented value of interpreting lipidomics data (deep molecular phenotyping) together with lipoprotein data (deep metabolic phenotyping) and association heatmaps between all the lipidomics measures and the key measures characterizing lipoprotein subclass metabolism are provided. These unique motifs are useful as guidelines for the key lipoprotein mediators for various lipidomics associations in biomedical studies when comprehensive lipoprotein profiles are not available.</p>

Personalized Profiling of Lipoprotein and Lipid Metabolism Based on 1018 Measures from Combined Quantitative NMR and LC-MS/MS Platforms

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Since its establishment in 2011, CEITEC has quickly developed into a cutting-edge infrastructure for research which performs highly alongside the best institutes in Europe. Among the main priorities of CEITEC are the promotion of a motivating and dynamic international scientific environment, the provision of state-of-the-art research infrastructure, and the policy of open communication and equal opportunities.

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Mettler-Toledo

<ul>
<li><strong>Introduction to inorganic chemistry</strong></li>
<li><strong>Relevant thermal analysis techniques</strong></li>
<li><strong>DSC examples: glass transitions, phase diagrams, and decomposition</strong></li>
<li><strong>Thermo-optical analysis (TOA) examples: polymorphic transitions</strong></li>
<li><strong>TGA and TGA/DSC examples: decomposition, melting, and evolved gas analysis</strong></li>
<li><strong>TMA examples: expansion, solid-solid transitions, and temperature stability</strong></li>
<li><strong>DMA examples: elasticity</strong></li>
</ul>
<p>Inorganic materials, such as metals, ceramics, salts, and minerals, are encountered almost everywhere in our daily life and are used for a multitude of purposes. In particular, many inorganic materials are known for their exceptional heat resistance, making them invaluable in high-temperature applications.</p>
<h4><strong>Important Types of Analysis for Inorganic Materials</strong></h4>
<p>Inorganic materials often exhibit complex thermal behaviors that can be challenging to study. Luckily, thermal analysis provides us with powerful investigative tools. By utilizing techniques such as DSC, thermo-optical analysis, TGA, TMA, and DMA, we can measure behaviors including melting point, phase transitions, and thermal stability. Evolved gas analysis combined with TGA can also provide important information about the products of decomposition.</p>
<p>Join our live webinar and discover how thermal analysis helps to shape our understanding of these fascinating materials. The presentation will conclude with a Q&amp;A, so don’t miss the chance to ask our experts your questions!</p>
<blockquote>
<p><strong>Presenter:</strong> Dr. Teresa Dennenwaldt</p>
</blockquote>
<blockquote>
<p>Dr. Teresa Dennenwaldt obtained her PhD in chemistry in 2013 and completed a postdoc at the Ecole Polytechnique Fédérale de Lausanne, Switzerland in the field of electron microscopy and spectroscopy. In 2018, she joined METTLER TOLEDO as an application specialist for Thermal Analysis. In her current position, she expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p>
</blockquote>


METTLER TOLEDO: Thermal Analysis of Inorganic Materials

Thermal Analysis of Inorganic Materials

Discover Key Techniques for Characterizing This Diverse Group of Materials

<p><strong>Thermomechanical analysis (TMA) is used to measure the dimensional changes, or deformation, of a sample as it is heated or cooled and subjected to a defined stress or load. It determines expansion, shrinking, and softening behavior on materials such as films, laminates, solids, and fibers. The technique is also very useful for measuring relaxation effects that are often not detected by DSC.</strong></p><p>The TMA Technique</p><p>In a typical TMA experiment, the sample is placed on the sample support and a constant load is applied via a measuring probe. The probe remains in contact with the sample and moves up or down as the sample expands or contracts with a change in temperature. The displacement of the probe is measured by means of a sensor. The sample set-up and applied load vary depending on the measurement mode and the information required.</p><p>Thermal expansion or shrinkage, as well as the deformation or stiffness of the material, can be determined based on the set-up and measured displacement. Typical properties of interest determined by TMA are the glass transition, coefficient of thermal expansion (CTE), and Young’s modulus.</p><p>TMA is a versatile technique that can be used to study a wide range of materials, including polymers, composites, ceramics, metals, and biomaterials. It is commonly used in material research, quality control, and failure analysis applications.</p><p>Join our live webinar to learn all about TMA and don’t miss the opportunity to ask our experts your questions!</p><p><strong>Event Program</strong></p><ul><li>Basic principles of TMA</li><li>Important instrument components</li><li>Measurement modes (dilatometry, penetration, tension, swelling, dynamic load, bending)</li><li>Why you should use TMA for your analysis</li><li>Application examples for different industries</li></ul><blockquote><p><strong>Presenter:</strong> Nicolas Fedelich</p><p>With a background in chemical engineering, Nicolas joined METTLER TOLEDO in 2009 as an application specialist for Thermal Analysis. Before that, he gained expertise in different laboratories implementing, developing, and validating analytical methods in both the pharmaceutical and environmental fields. Nicolas also worked for three years in the field carrying out on-site customer training and providing expert thermal analysis application support. In his present position, Nicolas expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Learn Basic Principles, Measurement Modes, and Useful Applications for Your Workplace

Thermomechanical Analysis (TMA)

<p>Discover How Thermal Analysis is Used in Different Polymer Recycling Pathways</p><p><strong>Program</strong></p><ul><li><strong>Introduction to polymer recycling pathways</strong></li><li><strong>Overview of thermal analysis techniques</strong></li><li><strong>Recycling application examples (DSC, TGA, evolved gas analysis)</strong></li><li><strong>STARe Software Tips</strong></li><li><strong>Summary: Which technique for which thermal effect?</strong></li></ul><p><strong>The increased demand for plastic products has led to a rapid increase in the production of polymers. This, in turn, has resulted in an increase in environmental pollution. The desire to reduce this pollution, together with a desire to reduce the consumption of fossil hydrocarbons, has created a need to recycle polymer waste and return it to the economy as a raw material.</strong></p><p>To achieve this goal, polymers need to be correctly identified and characterized. Suitable recycling processes must also be developed. Thermal analysis techniques are an ideal way to help accomplish these goals due to their suitability for analyzing polymer materials.</p><h5><strong>Polymer Recycling Pathways and Thermal Analysis Techniques</strong></h5><p>In this webinar, we look at the different recycling pathways available and how thermal analysis techniques, such as DSC and TGA, can be used to improve the quality of the end product. We will also take a closer look at evolved gas analysis (EGA) techniques. EGA is an excellent tool for identifying polymer blends by analyzing the comparative levels of gases that are produced on decomposition.</p><p>We will particularly focus on mechanical and chemical recycling, and provide a wide range of applications that can be adapted for you own use.</p><p>Join our live webinar to learn all about thermal analysis in the field of polymer recycling. Don’t miss the opportunity to ask our experts your questions!</p><ul><li><strong>12.12.2024, 8:00 CET</strong></li><li><strong>12.12.2024, 16:00 CET</strong></li></ul><blockquote><p><strong>Presenter:</strong> Angela Hammer (Dr. sc. nat. ETH)</p><p>Dr. Angela Hammer received a Ph.D. in Analytical Chemistry (development of immobilized components for the use in ion-selective electrodes based on polyurethane membranes) from the Institute of Organic Chemistry at the Swiss Federal Institute of Technology in Zürich, Switzerland. She then joined Sika Technology AG in Zurich, Switzerland, as an analytical chemist. In 2007, she joined METTLER TOLEDO and has worked there since as an application specialist for Thermal Analysis. In her present position, she uses, teaches, and supports DSC, TGA, TMA, and DMA instruments for the METTLER TOLEDO’s Materials Characterization Group located at the head office in Switzerland.</p></blockquote>

Mettler Toledo: Thermal Analysis Techniques for the Recycling of Polymers

Live Webinar: Thermal Analysis Techniques for the Recycling of Polymers 

We look at the different recycling pathways available and how thermal analysis techniques (DSC, TGA) can be used to improve the quality of the end product

Thermal Analysis Techniques for the Recycling of Polymers 

<p><strong>Tips and Techniques for Accurate Evaluations</strong></p><p><strong>Program</strong></p><ul><li>What is the glass transition temperature (Tg) and why it is important</li><li>Introduction to the glassy state and transition effects on material properties</li><li>Measurement techniques for determining Tg (DSC, TMA, and DMA)</li><li>Example applications for different industries</li><li>Interactive Q&amp;A</li></ul><p><strong>The glass transition is the transformation of a substance from a glassy to a rubbery state, or vice versa. Knowing the temperature at which this transformation occurs is critical for understanding a material’s properties and behavior and how it can be used.</strong></p><p>Thermal analysis offers several ways to determine the glass transition temperature (Tg): differential scanning calorimetry (DSC), thermomechanical analysis (TMA), and dynamic mechanical analysis (DMA).</p><p>Join our webinar to discover the effectiveness of these techniques using a variety of application examples.<br>Why is knowledge of the glass transition so important?</p><p>The glass transition provides information about the molecular properties of a material as it is heated or cooled within a certain range. It defines the upper temperature limit for the use of solid amorphous materials, and the lower temperature limit for rubbery materials. It can also provide information about the degree of cure.</p><p>Knowing the glass transition is important for optimizing production parameters and material properties. In addition, the Tg can be used to identify and compare materials and is therefore important in quality control and in failure analysis.</p><p>Join the webinar to expand your knowledge and improve your understanding of this critical property. Don’t forget to have your questions ready for our experts!</p><ul><li><strong>30.1.2025 8:00, English</strong></li><li><strong>30.1.2025 16:00, English</strong></li></ul><blockquote><p><strong>Presenter: </strong>Angela Hammer (Dr. sc. nat. ETH)</p><p>Dr. Angela Hammer received a Ph.D. in Analytical Chemistry (development of immobilized components for the use in ion-selective electrodes based on polyurethane membranes) from the Institute of Organic Chemistry at the Swiss Federal Institute of Technology in Zürich, Switzerland. She then joined Sika Technology AG in Zurich, Switzerland, as an analytical chemist. In 2007, she joined METTLER TOLEDO and has worked there since as an application specialist for Thermal Analysis. In her present position, she uses, teaches, and supports DSC, TGA, TMA, and DMA instruments for the METTLER TOLEDO’s Materials Characterization Group located at the head office in Switzerland.</p></blockquote>

Mettler-Toledo: Live Webinar: How to Determine the Glass Transition by Thermal Analysis

Live Webinar: How to Determine the Glass Transition by Thermal Analysis

Join our webinar to discover the effectiveness of techniques such as Tg, DSC, TMA and DMA using a variety of application examples

How to Determine the Glass Transition by Thermal Analysis 

<p><strong>Unlock the Secrets of Your Thermoplastics with Essential Thermal Analysis Techniques</strong></p><p><strong>Program:</strong></p><ul><li>Typical properties and characteristics of thermoplastics</li><li>Ideal thermal techniques for studying thermoplastics</li><li>Practical applications for DSC, Flash DSC, and high pressure DSC</li><li>Additional applications for TGA, TMA, and DMA</li><li>Interactive Q&amp;A session</li></ul><p>Thermoplastics are widely used in many products due to their unique properties, lightweight nature, affordability, and recycling potential. Their ability to soften when heated makes thermal analysis an invaluable tool for characterizing their behavior. These materials can typically be reheated and remolded multiple times, offering a more sustainable alternative to products that cannot be recycled or repurposed.</p><p>Join the webinar and delve deeper into the world of thermoplastics!</p><p><strong>Why is Thermal Analysis Essential for Characterizing Thermoplastics?</strong></p><p>Techniques such as DSC, TGA, TMA, and DMA can measure thermoplastic properties and behavior across a temperature range of −150 to 1600 °C. Using just a few milligrams of sample, you can determine critical information, including specific heat capacity, glass transition, melting, crystallization, decomposition, oxidative induction time (OIT), expansion coefficient, and elasticity. Understanding these properties is crucial in both research and quality control settings across various industries.</p><p>Don’t miss out on this opportunity to gain in-depth knowledge and insights.</p><p>Register now to secure your spot. Don’t forget to prepare your questions for our experts!</p><ul><li><strong>27.2.2025 8:00, English</strong></li><li><strong>27.2.2025 16:00, English</strong></li></ul><blockquote><p><strong>Presenter: </strong>Dr. Andreas Bach</p><p>Andreas was awarded a PhD in Chemistry from the University of Bern in Switzerland and completed a postdoc at the University of Wisconsin-Madison Department of Chemistry, USA. In 2002, he accepted a position as a senior scientist and lecturer in physical organic chemistry in the Department of Chemistry and Applied Biosciences at ETH Zurich. In 2018, he joined METTLER TOLEDO as an application specialist for Thermal Analysis. In his current position, he expertly uses, teaches and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Mettler Toledo: Live Webinar: Characterization of Thermoplastics by Thermal Analysis 

Live Webinar: Characterization of Thermoplastics by Thermal Analysis 

Unlock the secrets of your thermoplastics with essential thermal analysis techniques.

Characterization of Thermoplastics by Thermal Analysis

<p><strong>Essential Applications for Characterizing Cosmetic Products and Preparations</strong></p><p><strong>Program</strong></p><ul><li>Important thermal behaviors and properties of cosmetics</li><li>Thermal analysis techniques for studying cosmetics</li><li>Practical applications using DSC, TGA, and TMA</li><li>Additional applications using melting point and dropping point</li><li>Interactive Q&amp;A session</li></ul><p>Discover the science behind the beauty! Join our insightful live webinar where we will delve into the critical thermal techniques used to characterize the properties of cosmetic products. Understanding these properties is essential for ensuring product safety, stability, and performance.</p><p><strong>Why is Thermal Analysis Important for Cosmetics?</strong></p><p>Cosmetics must meet strict regulations and high consumer expectations. They are used at body temperature, which makes the characterization of their thermal properties and behavior vital. By using thermal analysis techniques to analyze melting points, composition, denaturation, curing, and thermal stability, manufacturers can enhance product formulation, optimize quality control, and innovate effectively.</p><p>Thermal analysis techniques are essential for studying raw materials as well as for developing and checking the quality of the final cosmetic product. This ensures compliance and delivers safe and high-quality products to the consumer.</p><p>In this engaging webinar, we guide you through essential thermal analysis techniques and their applications in the cosmetic industry. Whether you're a researcher, formulary chemist, or quality control expert, this webinar will equip you with valuable insights to elevate your product development process.</p><p>Don't miss this opportunity to enhance your knowledge! Register now to secure your spot and join us in exploring the fascinating intersection of thermal analysis and cosmetics.</p><p>Don’t forget to prepare your questions for our experts!</p><ul><li><strong>13. 3. 2025 8:00, &nbsp;English</strong></li><li><strong>13. 3. 2025 16:00, &nbsp;English</strong></li></ul><blockquote><p><strong>Presenter: </strong>Dr. Teresa Dennenwaldt</p><p>Dr. Teresa Dennenwaldt obtained her PhD in chemistry in 2013 and completed a postdoc at the Ecole Polytechnique Fédérale de Lausanne, Switzerland in the field of electron microscopy and spectroscopy. In 2018, she joined METTLER TOLEDO as an application specialist for Thermal Analysis. In her current position, she expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Mettler Toledo: Live Webinar: Thermal Analysis of Cosmetics

Live Webinar: Thermal Analysis of Cosmetics

Join our insightful live webinar where we will delve into the critical thermal techniques used to characterize the properties of cosmetic products.

<p><strong>Predicting Material Behavior Outside the Testable Frequency Range</strong></p><p><strong>Program:</strong></p><ul><li>Introduction to material behavior</li><li>Time-temperature equivalence and time-temperature superposition (TTS)</li><li>The dependance of mechanical properties on the load frequency</li><li>Master curve construction and the shift diagram</li><li>Example applications</li><li>Interactive Q&amp;A</li></ul><p>Understanding the viscoelastic behavior of materials under different loading conditions is crucial for effective material selection, processing, research, and quality control. However, instrument limitations mean it is not always possible to evaluate materials at extreme loading frequencies.</p><p>By employing the time-temperature superposition (TTS) technique to construct a DMA master curve, we can predict relaxation behavior beyond the capabilities of a dynamic mechanical analyzer. This approach provides valuable insights for material characterization and application development.</p><p><strong>The Time-Temperature Superposition (TTS)</strong></p><p>Changes in temperature can produce effects on the material's viscoelastic behavior that are comparable to those produced by changes in frequency or time. This principle, known as the time-temperature equivalence, allows for the interchange of frequency and temperature in the analysis of materials:</p><ul><li>Behavior at high frequencies (short time) is equivalent to behavior at low temperatures</li><li>Behavior at low frequencies (long time) is equivalent to behavior at high temperatures</li></ul><p>This forms the basis of the TTS technique, where data obtained at a certain temperature can be shifted along the frequency axis to predict behavior outside the measured range.</p><p><strong>DMA master curve construction</strong></p><p>By applying TTS, individual isothermal DMA curves measured across different frequency ranges are shifted horizontally towards a selected reference temperature curve to create a so-called master curve. The master curve represents a material's behavior beyond the frequency range that can be measured using standard DMA techniques. It can therefore be used to make predictions outside the conditions that were initially evaluated.</p><p>In this webinar, we explore the Williams–Landel–Ferry (WLF) model for master curve construction, as well as basic time and temperature equivalence, frequency dependence, and master-curve shift-diagram building using example applications.</p><p>We conclude with a Q&amp;A session so don’t forget to prepare your questions!</p><ul><li><strong>24. 4. 2025 8:00, &nbsp;English</strong></li><li><strong>24. 4. 2025 16:00, &nbsp;English&nbsp;</strong></li></ul><blockquote><p><strong>Presenter: </strong>Dr. Andreas Bach</p><p>Andreas was awarded a PhD in Chemistry from the University of Bern in Switzerland and completed a postdoc at the University of Wisconsin-Madison Department of Chemistry, USA. In 2002, he accepted a position as a senior scientist and lecturer in physical organic chemistry in the Department of Chemistry and Applied Biosciences at ETH Zurich. In 2018, he joined METTLER TOLEDO as an application specialist for Thermal Analysis. In his current position, he expertly uses, teaches and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Mettler Toledo: Live Webinar: DMA Master Curve Construction and the TTS Principle 

DMA Master Curve Construction and the TTS Principle 

We explore the WLF model for master curve construction, basic time and temperature equivalence, frequency dependence, and master-curve shift-diagram building

<p>Understanding the Thermal Dynamics That Shape Elastomer Performance</p><p><strong>Program</strong></p><ul><li>Typical properties and structure of elastomers</li><li>Ideal thermal techniques for studying elastomers</li><li>Application examples using DSC, TGA, TMA, and DMA</li><li>Which technique for which type of analysis?</li><li>Interactive Q&amp;A session</li></ul><p>Elastomers are highly versatile elastic polymers that can be stretched or compressed yet return to their original shape when the stress is removed. Found in a diverse range of items including rubber bands, seals, and tires, they play a crucial role in both industry and daily life. Due to their high temperature dependence, thermal analysis is a powerful tool for understanding elastomer behavior under varying temperature and stress conditions.</p><p>Join our upcoming webinar to find out what shapes your elastomers and enhance your knowledge in thermal analysis!</p><p><strong>Why is Thermal Analysis Essential for Characterizing Elastomers?</strong></p><p>Techniques such as DSC, TGA, TMA, and DMA can measure elastomer properties and behavior across a temperature range of −150 to 1600 °C. Using just a few milligrams of sample, you can determine critical information, including glass transition, vulcanization reactions, composition, identification, expansion coefficient, creep, and swelling behavior. Understanding these properties is crucial in both research and quality control settings across various industries.</p><p>Don’t miss this opportunity to gain in-depth knowledge on characterizing these fascinating materials.</p><p>Register now to secure your spot, and be sure to prepare your questions for our experts!</p><ul><li><strong>22. 5. 2025 8:00, &nbsp;English</strong></li><li><strong>22. 5. 2025 16:00, &nbsp;English&nbsp;</strong></li></ul><blockquote><p><strong>Presenter: </strong>Nicolas Fedelich</p><p>With a background in chemical engineering, Nicolas joined METTLER TOLEDO in 2009 as an application specialist for Thermal Analysis. Before that, he gained expertise in different laboratories implementing, developing, and validating analytical methods in both the pharmaceutical and environmental fields. Nicolas also worked for three years in the field carrying out on-site customer training and providing expert thermal analysis application support. In his present position, Nicolas expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Mettler Toledo: Live Webinar: Characterization of Elastomers by Thermal Analysis 

Characterization of Elastomers by Thermal Analysis 

Join our upcoming webinar to find out what shapes your elastomers and enhance your knowledge in thermal analysis!

Characterization of Elastomers by Thermal Analysis

<p><strong>Explore Useful Techniques for Characterizing Sustainable Polymers</strong></p><p><strong>Program&nbsp;</strong></p><ul><li>Definition of biopolymers</li><li>Ideal thermal techniques for studying biopolymers</li><li>Biopolymer use in industry</li><li>Thermal analysis application examples using DSC, TGA, TMA, and DMA</li><li>Which technique for which type of analysis?</li><li>Interactive Q&amp;A session</li></ul><p>As an alternative to synthetic plastics, biopolymers are produced fully or partially from renewable raw materials and/or are those which can be biologically degraded. They provide a more sustainable alternative to the traditional long-lifecycle polymers made from fossil fuels. Due to their widespread use, thermal characterization of biopolymers is essential for ensuring their performance and safety in a variety of applications.</p><p>Join our upcoming webinar and explore effective thermal analysis techniques that will help you accurately characterize your biopolymers!</p><p><strong>What is a Biopolymer?</strong></p><p><strong>Biopolymers can be divided into two groups:</strong></p><ul><li>Biobased polymers made from renewable biological resources and</li><li>Biodegradable polymers that are able to decompose naturally.</li></ul><p>From an environmental standpoint, the best materials are both biobased and biodegradable. Examples of biopolymers include natural substances like starches, cellulose, and rubber.</p><p><strong>How is Thermal Analysis Used to Characterize Biopolymers?</strong></p><p>In order to understand biopolymer behavior in different conditions, the most important physical properties to measure include the glass transition, crystallization, and decomposition temperatures, as well as expansion and elasticity.</p><p>The four main techniques of thermal analysis, DSC, TGA, TMA, and DMA are ideal for carrying out these types of analysis. They can measure properties and behavior across a temperature range from −150 to 1600 °C, using just a few milligrams of sample.</p><p>Don’t miss this opportunity to gain in-depth knowledge about thermal analysis and characterizing your sustainable plastics. Register now to reserve your place, and don’t forget to prepare your questions for our experts!</p><ul><li><strong>26. 6. 2025 8:00, &nbsp;English</strong></li><li><strong>26. 6. 2025 16:00, &nbsp;English</strong>&nbsp;</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Teresa Dennenwaldt</p><p>Dr. Teresa Dennenwaldt obtained her PhD in chemistry in 2013 and completed a postdoc at the Ecole Polytechnique Fédérale de Lausanne, Switzerland in the field of electron microscopy and spectroscopy. In 2018, she joined METTLER TOLEDO as an application specialist for Thermal Analysis. In her current position, she expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Mettler Toledo: Live Webinar: Thermal Analysis of Biopolymers

Thermal Analysis of Biopolymers

Join our upcoming webinar and explore effective thermal analysis techniques that will help you accurately characterize your biopolymers!

<div><div><p><strong>For thermal analysis and many other analytical techniques, accurate preparation and analysis of samples are crucial to obtaining reliable data. METTLER TOLEDO offers a comprehensive range of solutions for sample preparation to ensure the accuracy of your thermal analysis measurements.</strong></p><p>Join this live webinar for an introduction to METTLER TOLEDO’s thermal analysis (TA) techniques and the importance of good weighing practices for sample preparation.</p><p><strong>Program:&nbsp;</strong></p><ul><li>Introduction to thermal analysis techniques</li><li>Sample preparation tips</li><li>Importance of weighing accuracy for thermal analysis measurements&nbsp;</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Michael Reber (METTLER TOLEDO)</p><p>Dr. Michael Reber joined METTLER TOLEDO as a Product Manager in 2019, where he contributes to the thermal analysis department. His expertise encompasses a range of analytical techniques, including Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Thermomechanical Analysis (TMA), and Dynamic Mechanical Analysis (DMA). Prior to his tenure at METTLER TOLEDO, Dr. Reber earned his PhD in Chemistry from the University of Zurich. His doctoral research focused on the development and characterization of porous oxides, equipping him with a solid foundation in material science and analytical techniques.&nbsp;</p><p><strong>Presenter: </strong>Holly Nurre (METTLER TOLEDO)</p><p>Holly Nurre is the Product Manager of Excellence Analytical and Microbalances at METTLER TOLEDO. Her background is in Industrial Engineering from The Ohio State University with experience in pharmaceutical scale-up and production, and user experience design.&nbsp;</p></blockquote></div></div>

Mettler Toledo: Sample Preparation for Thermal Analysis 

Sample Preparation for Thermal Analysis 

Join this webinar for an introduction to METTLER TOLEDO’s thermal analysis (TA) techniques and the importance of good weighing practices for sample preparation.

ICPMS webinars focusing on Thermal Analysis | LabRulez ICPMS

Live Webinar: How to Determine the Glass Transition by Thermal Analysis

Live Webinar: Characterization of Thermoplastics by Thermal Analysis

Live Webinar: Thermal Analysis of Cosmetics

Sample Preparation for Thermal Analysis

DMA Master Curve Construction and the TTS Principle

Characterization of Elastomers by Thermal Analysis

Thermal Analysis of Biopolymers

Live Webinar: Thermal Analysis Techniques for the Recycling of Polymers

Thermomechanical Analysis (TMA)

Thermal Analysis of Inorganic Materials

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