In the week from February 9, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Thermo Fisher Scientific: Process Raman – A Reliable and Versatile Tool for Downstream Process Monitoring and Control for mAb Production</h5><ul><li>Tu, 10.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5808">Registration</a></li></ul>The presentation highlights how process Raman spectroscopy offers several advantages over traditional in-line UV-Vis analysis for process monitoring and metabolite production control.<h5>2. Bruker: Meet Compact-Q DEER Spectrometer – Your Gateway to Quantum Innovation</h5><ul><li>Tu, 10.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5757">Registration</a></li></ul>Discover how the Compact-Q DEER spectrometer enables high-fidelity qubit characterization and control, combining advanced microwave architecture, AWGs, and cryogen-free operation.<h5>3. Agilent Technologies: Novel Advancements in Trace Level Determination and Long-Term Stability of Metals in TMAH and UPW Matrices</h5><ul><li>Tu, 10.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/3733">Registration</a></li></ul>Explore novel approaches for trace-level metal determination and long-term stability assessment in TMAH and ultrapure water matrices.<h5>4. AZoM: From First to Best – Introducing the Litesizer DIF Series</h5><ul><li>We, 11.2.2026 15:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5765">Registration</a></li></ul>Join this live webinar introducing the new Litesizer DIF series of laser diffraction particle size analyzers.<h5>5. Anton Paar: Polymer Rheology – Rotational and Transient Measurements on a Polymer Melt</h5><ul><li>We, 11.2.2026 18:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5786">Registration</a></li></ul>Learn how rotational and transient viscosity measurements on rotational rheometers reveal polymer melt flow behavior, from method setup and accessories to data interpretation.<h5>6. Milestone: Practical Guidance to Improve the Journey from Sample to Heavy Metals Analysis for Environmental Labs</h5><ul><li>Th, 12.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5803">Registration</a></li></ul>Improve heavy metals analysis in environmental laboratories with practical tips on reagents, filtration, cleaning, and workflow optimization to enhance data quality and efficiency.<h5>7. Agilent Technologies: Moving from R&amp;D and Limited QC on a UV-Vis-NIR Instrument to Large-Scale QC Using an Autosampler</h5><ul><li>Th, 12.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/2104">Registration</a></li></ul>This presentation covers key aspects of adding and using an autosampler to maximize UV-Vis-NIR QC workflows when scaling from R&amp;D to routine quality control.

Webinars LabRulezICPMS Week 07/2026

LA-ICP-MS imaging, particularly in TOF mode, provides rapid, high-resolution elemental maps of complex geological materials, but quantitative accuracy is often limited by heterogeneous mineralogy. This study introduces a workflow using UMAP for unsupervised dimensionality reduction combined with k-means clustering to segment mineral phases directly from per-pixel elemental data.Cluster compositions are matched to known minerals based on stoichiometry, allowing phase-specific normalization and reducing quantification errors by up to 60%. Validated on dawsonite-bearing sandstones, the approach enables consistent phase-resolved geochemical comparisons across depth profiles and establishes UMAP as a practical tool for accurate, interpretable multielement imaging.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398">Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging</a></h4>Barbara Umfahrer, Jakub Buday, Pavel Pořízka, Jozef Kaiser, Paolo S. Garofalo*, and Detlef Günther*Anal. Chem. 2026, 98, 1, 581–589<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05398">https://doi.org/10.1021/acs.analchem.5c05398</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.Since its introduction in 1985, <a href="javascript:void(0);">(1)</a> Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS) has matured into a routine technique for both qualitative and quantitative elemental analysis, finding use in diverse fields such as geology, <a href="javascript:void(0);">(2−4)</a> biology, <a href="javascript:void(0);">(5,6)</a> materials science, <a href="javascript:void(0);">(7)</a> and cultural heritage. <a href="javascript:void(0);">(8,9)</a> Especially in comparison to liquid analysis techniques, the method excels through minimal sample preparation, negligible sample destruction, and low limits of detection, which enable trace element analysis. However, besides the availability of standard reference materials, a longstanding challenge of quantitative LA-ICP-MS is the need for a suitable internal standard to account for variations in ablation rate and transport efficiency, as well as instrumental drift. <a href="javascript:void(0);">(10)</a> Developed for applications in geological matrices, this requirement was elegantly circumvented by Liu et al. <a href="javascript:void(0);">(11)</a> through 100 wt % normalization, which assumes that all detected elements form oxides summing up to 100 wt %. This approach was conceptually inspired by the summed-spectrum normalization calibration procedure introduced by Leach and Hieftje in 2000, which emphasized the use of total signal intensities for robust internal standardization. <a href="javascript:void(0);">(12)</a> The 100 wt % normalization strategy was subsequently extended to the bulk analysis of carbonates. <a href="javascript:void(0);">(13)</a>Concurrently, the advent of time-of-flight (TOF) mass analyzers and the development of fast-washout laser ablation cells <a href="javascript:void(0);">(14−16)</a> have transformed LA-ICP-MS into a powerful imaging tool, capable of generating spatial maps across a variety of sample matrices at high data acquisition rates. <a href="javascript:void(0);">(17−19)</a> Furthermore, in comparison to, e.g., X-ray fluorescence spectroscopy (XRF) or Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM-EDS), LA-ICP-MS offers a high depth resolution of approximately 0.2 μm on glass, enabling precise measurement of fine-scale structures not only laterally but also in depth. <a href="javascript:void(0);">(18)</a> However, as the volume and complexity of these elemental images have grown according to the progressive advancement of the method itself, now consisting of gigabytes of data produced within minutes, manual data interpretation has become increasingly impractical. To uncover meaningful details and patterns, researchers have applied multivariate methods such as Principal Component Analysis (PCA) and k-means clustering to reduce dimensionality and delineate distinct regions within the images. <a href="javascript:void(0);">(20−23)</a> The nonlinear dimensionality reduction technique Uniform Manifold Approximation and Projection (UMAP), <a href="javascript:void(0);">(24)</a> which supports data interpretation with its capability to capture and separate subtle local structures, has first been employed to LA-ICP-MS bulk analysis data in 2024, where it was used to classify pyrite samples and discriminate between Pb and Zn deposit types. <a href="javascript:void(0);">(25,26)</a> In combination with elemental imaging, UMAP has recently been applied to biological tissue data sets as an exploratory analysis tool, <a href="javascript:void(0);">(27)</a> further enhancing the ability to visualize and interpret complex elemental distributions.Despite these advances, no existing approach combines the unsupervised segmentation of mineral phases by UMAP with phase-specific normalization. In this study, we introduce a UMAP-driven workflow that (1) automatically segments distinct mineralogical phases within fine-grained geological matrices and (2) applies phase-specific 100 wt % normalization (e.g., oxide <a href="javascript:void(0);">(11)</a> or carbonate <a href="javascript:void(0);">(13)</a>), thereby improving quantification accuracy and enabling phase-specific quantitative interpretation of mineral distributions in complex matrices.<h4>Materials and Methods</h4><h5>LA-ICP-TOFMS Imaging</h5>LA-ICP-TOFMS analyses were performed using a 193 nm ArF excimer laser (GeoLas C, Lambda Physik, Göttingen, Germany) coupled to an ICP-TOFMS instrument (icpTOF 2R, TOFWERK AG, Thun, Switzerland). Ablation was conducted in the modified parallel flow ablation cell (MPFAC) <a href="javascript:void(0);">(16,34)</a> under a He atmosphere (99.999%, Linde Gas Schweiz AG, Dagmersellen, Switzerland) with Ar (99.996%, Linde Gas Schweiz AG) used as the carrier gas. A piezoelectrically driven xyz translational stage (1 nm resolution, SmarAct GmbH, Oldenburg, Germany) enabled precise sample positioning. Laser, stage movement, and ICP-TOFMS data acquisition were synchronized using a custom-built imaging control system. <a href="javascript:void(0);">(19)</a> The system was optimized each day based on maximum sensitivity while ensuring a 238U+/232Th+ intensity ratio of 1.0 to 1.1 on NIST SRM 610 and a 232Th16O+/232Th+ rate of below 0.5%.<h5>LIBS Imaging</h5>The LIBS analyses were performed on a Firefly system (Lightigo, Czech Republic). The laser (1064 nm, 5 mJ, pulse duration ∼10 ns, diameter 6 mm, operating at 50 Hz) was focused on the sample with a singlet lens (focal length 50 mm) to a 30 μm spot. The spatial resolution of the acquired elemental maps, with a size of about 16 mm × 26 mm, was 20 μm. Plasma radiation is collected by a multifiber configuration with a collimator and an optical fiber (400 μm core diameter), which delivered the light to several Czerny–Turner spectrometers (resolution 0.25–0.4 nm). The spectral range of the spectrometers is 180–850 nm. The radiation is collected 1.5 μs after ablation, with a gate width of 15 μs.Data processing was done with Python 3.11.8 in the Spyder environment and included background correction and per-pixel z-score normalization.<h4>Results and Discussion</h4><h5>LIBS and XRD Measurements</h5>To assess whether carbonate-based normalization <a href="javascript:void(0);">(13)</a> is warranted, first, large-scale LIBS elemental intensity maps of the samples across about a third of the thin sections were acquired. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398#fig1">Figure 1</a> reveals the results for “Layer 2” of the Poggio del Gatto sandstone for selected elements. A complete mapping of all four thin sections can be found in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05398/suppl_file/ac5c05398_si_001.pdf">Figures S3 and S6</a> in the Supporting Information. The maps reveal that C is strongly enriched in fracture veins as well as in finer-grained domains within the matrix and correlates with Ca, indicating carbonate minerals rather than oxides. Bulk XRD analysis identifies calcite alongside quartz, plagioclase, white mica, and kaolinite. These complementary observations confirm calcite as a major phase and thus justify the need for performing the 100 wt % normalization on a carbonate basis for pixels representing calcite.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_1_581_589_Figure_1_LIBS_elemental_intensity_maps_of_the_data_set_from_Layer_2_of_the_Poggio_del_Gatto_sandstone_mounted_on_a_microscope_slide_73ada1b7b8.jpg" alt="Anal. Chem. 2026, 98, 1, 581–589: Figure 1. LIBS elemental intensity maps of the data set from “Layer 2” of the Poggio del Gatto sandstone mounted on a microscope slide, depicting calcite veins and fine-grained structures within the matrix, underlining the need for carbonate-based normalization for specific pixels. Emission lines for evaluation are shown in the corresponding subfigure title. The epoxy used to fix the thin section on the slide is visible along the margin." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_1_581_589_Figure_1_LIBS_elemental_intensity_maps_of_the_data_set_from_Layer_2_of_the_Poggio_del_Gatto_sandstone_mounted_on_a_microscope_slide_73ada1b7b8.jpg 245w," sizes="100vw" width="2088" height="414"><h5>Renormalization Based on Carbonates</h5>Applying an oxide-based normalization to carbonate samples will introduce composition-dependent biases that cannot immediately be generalized as a singular numerical value. The difference between the molecular masses of carbonate CO32– and its oxide equivalent O2– yields an intrinsic bias on the order of a factor of about two, depending on the stoichiometry. Once this data is renormalized to a total of 100 wt %, the magnitude of the error becomes highly dependent on the specific elemental composition of the sample. An exemplary calculation illustrating this effect for a representative calcite pixel is provided in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05398/suppl_file/ac5c05398_si_001.pdf">Table S2</a>, yielding a relative error of 79%. In practice, this error varies across the image according to the local phase composition. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398#fig6">Figure 6</a> illustrates the impact of normalization approaches for layer 2 of the samples as well as the spatial distribution of the resulting relative error. The figure presents Ca and Si elemental maps in two rows, while the first three columns compare different normalization strategies: normalization based on all oxides, normalization based on all carbonates, and a pixel-wise normalization guided by mineral phase identification, as outlined in the workflow proposed in this study. The final column displays the relative error between the bulk oxide- or carbonate-based normalization and the pixel-wise, phase-informed normalization.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_1_581_589_Figure_6_Comparison_of_normalization_strategies_for_Ca_and_Si_LA_ICP_TOFMS_elemental_maps_in_Layer_2_ce3a0c1a5c.jpg" alt="Anal. Chem. 2026, 98, 1, 581–589: Figure 6. Comparison of normalization strategies for Ca and Si LA-ICP-TOFMS elemental maps in “Layer 2” of the Poggio del Gatto sandstone. Rows show Ca (top) and Si (bottom); columns compare (1) oxide-based normalization, (2) carbonate-based normalization, (3) pixel-wise, phase-informed normalization (this study), and (4) relative error between the first two and the phase-informed approach." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_1_581_589_Figure_6_Comparison_of_normalization_strategies_for_Ca_and_Si_LA_ICP_TOFMS_elemental_maps_in_Layer_2_ce3a0c1a5c.jpg 202w," sizes="100vw" width="2088" height="1622">For Ca (in this matrix primarily associated with calcite, a dominant carbonate phase in our samples), the relative error depicted quantifies the effect of applying oxide-based normalization across the entire image. This results in a systematic overestimation of the Ca concentration by approximately 60%. Conversely, for Si─in this matrix found mainly in quartz and various plagioclase phases─the error is shown for applying carbonate-based normalization across an oxidic matrix. In such cases, the Si concentrations are underestimated by roughly 10% to 40%, depending on the mineral phase.These findings highlight that using a single normalization scheme across heterogeneous samples introduces substantial quantification errors. To mitigate this, the pixel-wise phase segmentation enabled by the proposed UMAP-based workflow offers a significant advantage, especially in fine-grained matrices. In short, phase-aware, pixel-wise normalization combines the strengths of both normalization approaches and proves to be highly beneficial.<h4>Conclusion</h4>This study demonstrates that phase-specific normalization, guided by unsupervised phase segmentation of LA-ICP-MS images, can substantially improve the accuracy of elemental quantification in fine-grained geological matrices. Rather than relying on a single global assumption (e.g., all oxides or all carbonates), the workflow adapts normalization to the actual mineralogy, minimizing systematic errors and enabling phase-resolved geochemical interpretation.The segmentation step, based on UMAP embedding and k-means clustering, is fully unsupervised. However, the subsequent matching of clusters to specific minerals still relies on a limited set of preidentified stoichiometries and is therefore not yet fully unsupervised. Expansion to larger stoichiometric databases could help overcome this limitation and move toward automated mineral classification. A key challenge remains the similarity of cation ratios in certain mineral groups, which may still require complementary data to ensure robust assignments.Overall, beyond the specific case of the Poggio del Gatto sandstone presented in this study, this work provides a framework for quantitative elemental imaging of complex geological samples and is readily transferable to other contexts that require spatially resolved composition-aware normalization. This contribution adds a practical implementation to a growing literature that already uses multivariate statistics to unlock the immense information depth of LA-ICP-TOFMS.

Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging

Eurachem and CITAC welcome analysts interested in the evaluation of chemical analysis uncertainty and in how to use this information in results interpretation. The Eurachem Week 2026 will begin with a training course on “Evaluation of the measurement uncertainty from in-house precision and recovery data” scheduled for Sunday, 10 May 2026. A two-days workshop on “Quality in Analytical Measurements: Uncertainty Evaluation and Results Interpretation” open to all interested participants will take place from 11 to 12 May 2026. On 13 May 2026, the Eurachem Working Groups will convene, followed by the Eurachem General Assembly, which will bring together the Executive and national delegates on 14 and 15 May. Both Working Group Meetings and the General Assembly are restricted to their members.The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation.For many analytical applications, simplified uncertainty evaluations can determine uncertainty values that meet the defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation and quality control. There will be a discussion of how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.<blockquote><h5>New Eurachem guidance on using in-house precision and recovery data will be discussed at the workshop.</h5></blockquote>Topics will also include the validation and uncertainty evaluation for qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling. Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.<h3>Registration</h3><blockquote>👉<a target="_blank" rel="noopener noreferrer" href="https://conferences.chemistry.pt/register/eurachem2026">Register here for the workshop</a></blockquote><h4>Registration Fees</h4><h5>Early bird (EUR) - Until April 15th</h5><ul><li>Workshop: Regular participant (11 &amp; 12 May 2026): 400 EUR</li><li>Workshop: Student (11 &amp; 12 May 2026): 250 EUR</li><li>Eurachem Working Group1 (13 May 2026): 75</li><li>General Assembly2 (14 &amp; 15 May 2026): 250</li><li>Training On Uncertainty Evaluation3 (10 May 2026): 150</li></ul><h5>After April 15th</h5><ul><li>Workshop: Regular participant (11 &amp; 12 May 2026): 450 EUR</li><li>Workshop: Student (11 &amp; 12 May 2026): 300 EUR</li><li>Eurachem Working Group1 (13 May 2026): 100</li><li>General Assembly2 (14 &amp; 15 May 2026): 300</li><li>Training On Uncertainty Evaluation3 (10 May 2026): 200</li></ul><blockquote>§ - 50 EUR reduction for members of Eurachem, CITAC, SPQ, RELACRE, ForMEQ and SPMet at the workshop.10% reduction for organisations that registered more than one participant.1 - Working group members2 - Eurachem members3 - 50% reduction for workshop participants</blockquote><h3>Workshop</h3><h4>Eurachem/CITAC Workshop on Quality in Analytical Measurements:</h4><h5>Uncertainty Evaluation and Results Interpretation</h5>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation. For many analytical applications, simplified uncertainty evaluations can determine uncertainty values meeting defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation. It will be discussed how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.Topics will also include the validation and uncertainty evaluation of qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling.Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.<h3>Training Course</h3><h4>Evaluation of the measurement uncertainty from in-house precision and recovery data</h4><ul><li>10 May 2026</li></ul>A course on the fundamentals of the evaluation of the measurement uncertainty from in-house precision and recovery data will be held on Sunday, 10 May 2026. This training is targeted for analysts with a basic understanding of the measurement uncertainty concept, how uncertainty components propagate, and how the combined uncertainty is expanded. Following the morning presentation of the theory of uncertainty evaluation, the afternoon will be dedicated to applying the theory to real-world cases. Trainees should have basic skills in using Microsoft Excel spreadsheets and bring a laptop with Microsoft Excel to complete the exercises. The interaction between trainers and trainees will be promoted to guarantee learning efficiency.<h5>Trainers:</h5><ul><li>Ricardo Bettencourt da Silva, Faculdade de Ciências da Universidade de Lisboa, Portugal (rjsilva@ciencias.ulisboa.pt)</li><li>Stephen L. R. Ellison - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li><li>Vicki Barwick - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li></ul><h4>Agenda</h4><h5>8:00 Registration</h5><h5>9:00 Opening</h5><h5>9:05 Identifying, combining, and expanding uncertainty components: Theory and examples</h5><h5>9:45 Precision uncertainty: Theory and examples</h5><h5>10:30 Coffee break</h5><h5>10:50 Trueness-related uncertainty: Theory and examples</h5><h5>12:00 Additional questions and discussion</h5><h5>12:30 Lunch</h5><h5>13:30 Application example 1</h5><h5>15:30 Coffee break</h5><h5>15:50 Application example 2</h5><h5>17:00 Additional questions and discussion</h5><h5>17:30 Closing</h5><h3>Venue</h3>The series of Eurachem events will be held in:<ul><li>Meliã Lisboa Aeroporto ****</li><li>Rua C,2 1749-125 Lisboa, Portugal&nbsp;</li></ul>

Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

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Eurachem is a European network promoting international traceability of chemical measurements and good analytical practice. It provides expert guidance, supports method validation, uncertainty evaluation, proficiency testing, and facilitates discussion on technical and policy issues in analytical quality.

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<ul>
<li>Introduction to inorganic chemistry</li>
<li>Relevant thermal analysis techniques</li>
<li>DSC examples: glass transitions, phase diagrams, and decomposition</li>
<li>Thermo-optical analysis (TOA) examples: polymorphic transitions</li>
<li>TGA and TGA/DSC examples: decomposition, melting, and evolved gas analysis</li>
<li>TMA examples: expansion, solid-solid transitions, and temperature stability</li>
<li>DMA examples: elasticity</li>
</ul>
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.
<h4>Important Types of Analysis for Inorganic Materials</h4>
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.
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!
<blockquote>
Presenter: Dr. Teresa Dennenwaldt
</blockquote>
<blockquote>
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.
</blockquote>

METTLER TOLEDO: Thermal Analysis of Inorganic Materials

Thermal Analysis of Inorganic Materials

Discover Key Techniques for Characterizing This Diverse Group of Materials

Inflammation plays a pivotal role in the body’s defence against pathogens.
It is part of a cascade of events that are crucial for maintaining organ and systemic homeostasis. While acute inflammatory responses are essential for combating infections, chronic inflammation is increasingly linked to the onset of various clinical conditions, including diabetes, atherosclerosis, cardiometabolic diseases, rheumatoid arthritis, and obesity.
Traditionally, C-Reactive Protein (CRP) has been the gold standard for assessing inflammation. However, recent studies highlight the importance of glycoproteins and lipoproteins in both acute and chronic inflammation. Notably, inflammation can alter the composition and influence the pro- or anti-inflammatory behaviour of HDL particles.
In this webinar, we will explore how Nuclear Magnetic Resonance (NMR*) technology provides robust, fine-grained measurements of glycoproteins and lipoproteins, offering a comprehensive inflammatory profile within minutes. Further, we will present how those models were translated to benchtop NMR spectrometers potentially revolutionizing the landscape of NMR lipoprotein measurements.
Join us for this insightful webinar and discover how our translational achievements in NMR technology are poised to revolutionize clinical research settings.
Key Highlights
<ul>
<li>Innovative NMR Techniques: Learn about our diffusion and relaxation-edited NMR experiments, which led to a model-free inflammatory panel featuring SPC1, SPC2, SPC3, GlycA, and GlycB peaks.
</li>
<li>Comprehensive Data Analysis: Discover how these five parameters enable the construction of a molecular multivariate map of acute and chronic inflammatory phenotypes across multiple disease and population cohorts (N = 5000).
</li>
<li>Translational Technology: Understand the potential of benchtop NMR spectrometers for predicting lipoprotein parameters and fractions.
</li>
<li>Clinical Research Applications: Learn how self-administered capillary blood samples can eliminate the need for venipuncture, opening new avenues for sampling in remote areas or for high-frequency longitudinal studies.
</li>
</ul>
Benefits of Attending
<ul>
<li>Gain insights into the latest advancements in inflammation disease research and NMR * technology.
</li>
<li>Learn how benchtop NMR could bring us closer to routine application.
</li>
<li>Explore the future of inflammation analysis with non-invasive, rapid, and accurate methods.
</li>
</ul>
Who Should Attend?
<ul>
<li>Clinical researchers: Biologists, biochemists, and analytical scientists investigating or interested in expanding research into acute and chronic inflammation linked to the onset of cardiovascular disorders, metabolic syndrome, and related fields.
</li>
<li>Scientists working in human metabolomics research seeking to expand their expertise into standardized NMR-based Metabolomics.
</li>
<li>Graduate students and postdoctoral fellows: Those seeking advanced knowledge and practical skills in applying NMR in human health and inflammation disease.
</li>
<li>Industry professionals: Scientists and R&amp;D personnel in pharmaceutical, biotechnology, and nutritional companies doing research and developing therapeutic and diagnostic solutions related to inflammation
</li>
</ul>
<blockquote>
Presenter: Julien Wist (Professor of Computational Spectroscopy | Deputy Director of the Center for Computational &amp; Systems Medicine)
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Prof. Julien Wist is currently the Deputy Director of the Centre for Computational and Systems Medicine at Murdoch University and head of operations and lead of the bio-/ chem-informatics team at the Australian National Phenome Centre consisting of software engineers, biostatisticians, chemometricians and data processing experts to develop analytical pipelines for metabolic phenotyping. Wist is involved in international initiative for the development of open-source data analysis and visualisation platforms such as nmrdb.org, nmrium.org and cheminfo.org. 
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His research focuses on the integration of high-fidelity molecular phenotypes to create translatable methods for the clinical environment. He strives to establish a comprehensive phenotypic databank of the world population by integrating cellular, immunological, and molecular data. Prof. Wist&#39;s research on SARS-CoV-2 infection revealed crucial markers for disease progression, including the acute phase, risk of death, and post-acute COVID 19 syndrome. More recently, Wist and his team detected and elucidated the structure of 10 new molecules for the first time in human urine and elucidated 10 of them, revealing the existence of an extended RSAD2 dependant natural antiviral pathway extending involving the Viperin enzyme to convert CTP into ddhCTP and analogs. These significant findings have led to the filing of 2 patents in collaboration with industry leaders and have been published in renowned international journals.
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Bruker: From Biological Exploration to Clinical Translation: Lipoproteins in Inflammation Response

From Biological Exploration to Clinical Translation: Lipoproteins in Inflammation Response

How our translational achievements in NMR technology are poised to revolutionize clinical research settings.

From Biological Exploration to Clinical Translation

Hypoxia occurs due to inadequate oxygen supply and greatly influences solid tumor development and resistance to treatment.
The tumor microenvironment can influence how aggressive a tumor is and correlate with underlying treatment resistance. Microenvironment biomarkers like tumor pH, hypoxia, and angiogenesis have been correlated with cancer aggression and patient outcomes. PET can play a critical role in the diagnosis, treatment orientation, and subsequent management of tumors as it can provide complementary information regarding tumor metabolic properties, particularly when performed simultaneously with advanced MRI techniques. 
Breast cancer is widely known for its high degree of intratumoral heterogeneity, induced by varying selective pressures from the hypoxic tumor microenvironment. In-depth characterization of hypoxia-induced physiological differences between breast cancer subtypes by simultaneous multiparametric PET/MRI would greatly benefit diagnosis and treatment planning in the clinic.
The purpose of this webinar is to discuss challenges in the establishment of MRI protocols, combining, e.g., a) dynamic contrast-enhanced (DCE) and intravoxel incoherent motion (IVIM) MRI for the assessment of intratumoral vascularization, b) hyperoxic blood oxygen level-dependent (BOLD) MRI for the quantification of oxygen delivery, and c) [18F]FMISO PET, highlighting hypoxic tumor subregions.
Finally, we will demonstrate how a combined analysis of simultaneous multiparametric PET/MRI-derived imaging parameters enables the identification of spatially defined and physiologically distinct intratumoral niches within the hypoxic tumor microenvironment. This characterization provides an existing novel perspective on breast cancer and opens up new targets for BC therapy.
What To Expect
<ul>
<li>In the context of a preclinical breast cancer model, a discussion on PET/MRI procedures and challenges to establish protocols that combine DCE and intravoxel incoherent motion for the assessment of intratumoral vascularization, hyperoxic BOLD for the quantification of oxygen delivery and [18F]FMISO PET.</li>
</ul>
Key Learning Topics
<ul>
<li>Simultaneous PET/MRI characterization of hypoxic breast cancer tumor microenvironment
</li>
<li>Intratumoral vascularization
</li>
<li>DCE &amp; BOLD MRI &amp; [18F]FMISO PET
</li>
</ul>
Who should attend?
<ul>
<li>This webinar will be of interest to multiple profiles in the community of biomedical research especially those applying medical imaging techniques in their work. Clinicians, researchers, PhD students, and postdocs as well as laboratory technicians will find this webinar relevant.</li>
</ul>
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Presenter: Silvester J. Bartsch (Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria)
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Silvester J. Bartsch studied evolutionary biology at the Department of Theoretical Biology, University of Vienna, before he started his PhD-research project at the Department of Biomedical Imaging and Image-guided Therapy and the Medical University of Vienna. His current research aims at the characterization of niches within the hypoxic tumor microenvironment of breast cancer using simultaneous multiparametric PET/MR imaging. To this end, he combines [18F]FDG and [18F]FMISO PET with multiparametric MRI (diffusion-weighted MRI, blood oxygen level dependent MRI, glucose-enhanced CEST-MRI, dynamic contrast enhanced MRI) for the characterization the hypoxia-induced reprogramming of glucose metabolism, as well as the induction of angiogenesis, which are important hallmarks in breast cancer progression.
</blockquote>

Bruker: Hypoxia assessment using simultaneous multiparametric PET/MRI

Hypoxia assessment using simultaneous multiparametric PET/MRI

Simultaneous PET/MRI methods and challenges in the characterization of hypoxia-induced physiological differences between breast cancer subtypes.

Hypoxia assessment using simultaneous multiparametric PET/MR

UV-Vis spectroscopy is a cornerstone analytical technique in the pharmaceutical industry, widely employed for its versatility and reliability serving essential functions such as the synthesis of drug compounds, purity assessment, dissolution profiling, and the analysis of biomolecules throughout the drug development process. This technique is pivotal for ensuring the quality and efficacy of pharmaceutical products. However, the pharmaceutical industry faces several challenges with traditional UV-Vis spectroscopy, such as the need for stringent regulatory compliance, the demand for high precision and accuracy, and the requirement for efficient data management systems to handle the vast amount of data generated.The Agilent Cary 3500 UV-Vis model addresses these pain points effectively, join the webinar to discover how this cutting-edge instrument elevates the standards of pharmaceutical analysis with its unique features and seamless OpenLab integration.Key Takeaways:<ul><li>Innovative Temperature Control: Learn how the Cary 3500’s precise temperature control accelerates your analytical processes.</li><li>Rapid Data Acquisition: Understand the impact of high-speed data collection on your research outcomes.</li><li>Small-Volume Mastery: Explore the instrument’s proficiency in small-volume analysis, ensuring accuracy down to the minutest quantities.</li><li>Highest Absorbance Range: Explore the Cary 3500’s superior absorbance range for unparalleled sensitivity in your measurements.</li><li>OpenLab Server Connectivity: Experience the seamless data management and integrity that OpenLab server-based connectivity provides, meeting stringent regulatory compliance.</li><li>Interactive Q&amp;A Session: Engage with our experts to address your queries and discuss the instrument’s application in real-world pharmaceutical scenarios.</li></ul><blockquote>Presenter: Ms. Vijaya Jyothi (Product Specialist - Spectroscopy, Agilent Technologies)Vijaya Jyothi is a seasoned product specialist at Agilent Technologies. She manages the spectroscopy division, having extensive expertise in spectroscopy applications across diverse industries, offering deep insights and solutions tailored to varied analytical needs.</blockquote>

Agilent: Cary 3500 UV-VIS Advanced Analytical Capabilities and Seamless Server Connectivity

Cary 3500 UV-VIS Advanced Analytical Capabilities and Seamless Server Connectivity

Discover how this cutting-edge instrument elevates the standards of pharmaceutical analysis with its unique features and seamless OpenLab integration.

Cary 3500 UV-VIS Advanced Capabilities

Join us for the ICP-MS event of the year where we will explore how to streamline your ICP-MS workflows and enhance your productivity and elemental research using the latest ICP-MS technology.Our team of experts will unveil the most recent advancements in ICP-MS, showcasing how these innovations can simplify your ICP-MS analysis and help you achieve your analysis goals.<h4>During this webinar, you will learn how to:</h4><ul><li>Optimize your ICP-MS workflows for improved efficiency &nbsp;</li><li>Maximize instrument up-time and productivity&nbsp; &nbsp;</li><li>Gain confidence in analysis of high matrix samples &nbsp;</li><li>Approach novel applications with ease and simplicity &nbsp;</li><li>Enhance your research output</li></ul><blockquote>Presenter: Matthew Cassap (Product Marketing Manager - AAS and ICP-OES Trace Elemental Analysis, Thermo Fisher Scientific) Presenter:&nbsp;Daniel Kutscher (Manager Product Application, Trace Elemental Analysis, Thermo Fisher Scientific)</blockquote>

Thermo Scientific: Ignite Your ICP-MS Workflow for Enhanced Efficiency and Productivity

Ignite Your ICP-MS Workflow for Enhanced Efficiency and Productivity

How to streamline your ICP-MS workflows and enhance your productivity and elemental research using the latest ICP-MS technology.

Ignite Your ICP-MS Workflow for Enhanced Efficiency

Join us for an insightful webinar on the sustainable extraction of lithium, a crucial component in the lithium-ion battery supply chain.Learn from industry experts about the advantages of Direct Lithium Extraction (DLE) from mineral-rich brines over traditional hard rock mining methods. Discover how managing elemental impurities is essential for maximizing battery efficiency, yield, and safety. Gain insights into advanced techniques like ICP-OES and the ADS 2 auto-diluter system used to quantify major and minor element concentrations in brine samples and manufacturing chemicals.<h4>By attending this webinar, you will learn about:</h4><ul><li>The latest innovative sustainable lithium extraction techniques using Direct Lithium Extraction (DLE) from mineral-rich brine, a method that is more environmentally friendly and efficient compared to traditional hard rock mining</li><li>How to prepare samples and perform elemental analysis by atomic spectroscopy for complex matrix samples across the lithium-ion battery supply chain</li><li>Enhancing the sustainability, efficiency, and accuracy of your ICP-OES elemental analysis with new automation capability</li></ul><h4>Key Topics</h4><ul><li>Overview of emerging lithium extraction methods, including innovative and eco-friendly processes</li><li>How elemental analysis by atomic spectroscopy guides the optimization in the extraction process</li><li>Learn about sample preparation and ICP-OES analysis of raw materials and manufacturing chemicals in the lithium-ion battery value chain</li></ul><h4>Who Should Attend?</h4><ul><li>Chemical engineers and production engineers working in lithium-rich brine extraction</li><li>Production engineers working with lithium-ion battery cathode and electrolyte component production</li><li>Research scientists working around the lithium-ion battery supply chain.</li><li>Industry consultants advising companies around lithium extraction and battery manufacturing</li><li>Quality assurance and control specialists focusing on improving analytical accuracy</li></ul><blockquote>Presenter:&nbsp;Ross Ashdown (Marketing Manager, Optical Atomic Spectroscopy, Agilent Technologies)Ross has a Master of Applied Science in Analytical Chemistry from RMIT University Australia and has over 32 years of experience in atomic spectroscopy, covering instrument operation, applications support, technical support, product management, and marketing management. Ross is based in Agilent’s Spectroscopy Technology Innovation Centre (S.T.I.C.) in Melbourne, Australia. The STIC is Agilent’s global research and development centre for atomic and molecular spectroscopy.Presenter:&nbsp;Jeremy Patt (Chief Technology Officer, Summit Nanotech)Jeremy Patt is Chief Technology Officer at Summit Nanotech. The company, founded in 2018, is using its patented technology to extract lithium from brines at the lowest levelized cost of production and with the lowest environmental footprint. Jeremy has held numerous global leadership positions in the chemical industry – building and advancing research programs, pilot plants, and first-of-kind manufacturing plants for companies including Dow Chemical and Sherwin Williams. He has led the development and successful commercialization of processes across a broad range of technologies, including high-volume chemical production, catalysis, adsorption, extraction, membranes, filtration, heat exchange, drying, solids handling, and water treatment. Jeremy holds a BSE and PhD in Chemical Engineering, both from the University of Michigan, Ann Arbor. He is an inventor on 18 U.S. patents.Presenter:&nbsp;Ana Gonzalez (Atomic Spectroscopy Application Scientist, Agilent Technologies)Ana is based in Wilmington, Delaware, USA. With a robust background in atomic spectroscopy instruments, Ana boasts international experience in the development and validation of analytical methods tailored for the geochemical industry. Her expertise extends to lithium-ion battery technology, where she has made significant contributions to the comprehensive understanding of lithium brine characterization in South America, as well as the analysis of lithium battery components such as cathodes, anodes, and electrolytes. Ana's proficiency also encompasses molecular spectroscopy and chemometrics, as evidenced by her notable publications in these fields. She holds a Master of Science degree in Plant Biotechnology from CINVESTAV, México, complemented by a Bachelor of Science degree in Biotechnology Engineering. With her diverse skill set and passion for advancing scientific knowledge, Ana continues to drive innovation and excellence in her field.Presenter: Ruby Bradford (Atomic Spectroscopy Application Chemist, Agilent Technologies)Ruby is an application chemist at Agilent Technologies, having worked in the Atomic Spectroscopy Division since 2020. She works frequently on the analysis of fine chemicals using techniques such as inductively coupled plasma-optical emission spectroscopy (ICP-OES) and is experienced in method development and sample preparation techniques in the advanced materials sector. She has a particular passion for the booming lithium-ion battery market and promoting a sustainable future through electrification.</blockquote>

Separation Science: Enhancing Lithium-Ion Battery Production: Automated and Sustainable Elemental Analysis in Mining and Manufacturing using ICP-OES

Enhancing Lithium-Ion Battery Production: Automated and Sustainable Elemental Analysis in Mining and Manufacturing using ICP-OES

Sustainable extraction of lithium, a crucial component in the lithium-ion battery supply chain.

Enhancing Lithium-Ion Battery Production

In this webinar, hear from the Institute of General and Analytical Chemistry research team at Montanuniversität Leoben (MUL) in Austria.&nbsp;Speakers will outline their research work on identifying and quantifying TCEs (Technology Critical Elements) found in electronic waste. These critical elements, essential for modern technology, pose significant recycling challenges but they also create opportunities to drive industrial innovation while promoting a cleaner, safer environment. MUL’s research contributes to EU initiatives such as the EU Green Deal and the Circular Economy Action Plan, aiming to scale up e-waste recycling processes to meet Europe’s sustainability goals. Join the discussion to see how PerkinElmer’s analytical instruments and supporting solutions help to tackle these issues.Whether you're a scientist, researcher, chemical engineer or environmental regulator, we can help you to confidently test the TCEs that are integral to both recycling industries and environmental monitoring.<h4>LEARNING OUTCOMES:</h4><ul><li>Define and understand TCEs (Technology Critical Elements) in the academic and governmental landscape</li><li>Learn about sampling challenges from e-waste sources such as smartphones, batteries and PCBs</li><li>Learn how to identify and measure metal contamination in urban green spaces</li><li>Get an overview of key elemental analysis techniques such as ICP-MS and ICP-OES for field and laboratory work</li><li>Learn novel mass spec methodologies: Nitrous Oxide and Gas Cell Interaction studies</li></ul>

PerkinElmer: Technology Critical Element Extraction: Transforming E-Waste into Environmental and Industrial Opportunities

Technology Critical Element Extraction: Transforming E-Waste into Environmental and Industrial Opportunities

Identifying and quantifying TCEs (Technology Critical Elements) found in electronic waste.

Technology Critical Element Extraction: Transforming E-Waste

The global pharmaceutical market's growth has led to an alarming increase in substandard and falsified (SF) medicines, posing significant risks to public health.These dangerous products compromise patient safety and treatment efficacy, particularly in critical areas, such as antimalarials and antibiotics. Rapid, accurate detection methods are essential to combat this growing threat and ensure medication integrity across various settings, from pharmacies to field inspections.In this webinar, Drs. Basant Giri (Kathmandu Institute of Applied Sciences) and Toni Barstis (Saint Mary’s College) will share insights about their collaboration in Nepal where there were 346 drug recalls during the period from 2010 through 2020, with approximately 75% of those being substandard or falsified. Giri and Barstis are using novel paper-based devices and a handheld Raman spectrometer for field-expedient testing and more advanced method development. They will demonstrate how these tools can work together to improve the safety and efficacy of pharmaceuticals and the safety of consumer products. Adam Hopkins, Spectroscopy Product Manager from Metrohm USA, will briefly discuss the unique features of the MIRA handheld Raman analyzer that make it ideal for this critical work<h4>Key Learning Objectives:</h4><ul><li>Insight into the sacle of the SF medicine problem: Information crucial for audience to understand the scope of the issue and its potential impact on their operations and reputation</li><li>The underlying science behind field-expedient testing methods: Knowledge is relevant for QA teams and forensic chemists who need to implement or improve field-testing protocols</li><li>Discover a practical example of how to apply Raman in a real-world setting: Benefits those involved with global supply chain management and international quality assurance efforts</li><li>Technological advancements in handheld Raman: Helps decision-makers considering investments in new quality control equipment</li></ul><h4>Who Should Attend:</h4><ul><li>VPs and Chiefs of Product Quality</li><li>Quality assurance and management team members and leads</li><li>Supply chain managers</li><li>Forensic chemists and scientists</li><li>Anyone involved in or curious about pharmacovigilance activities</li></ul><blockquote>Presenter: Dr. Basant Giri (Senior Scientist, Kathmandu Institute of Applied Sciences)Presenter:&nbsp;Dr. Toni L.O. Barstis (Professor Emeritus, Saint Mary’s College, Notre Dame, IN)Presenter:&nbsp;Dr. Adam J. Hopkins (Spectroscopy Product Manager, Metrohm USA)Presenter:&nbsp;Ann Thayer (Contributing Editor, C&amp;EN Media Group)</blockquote>

C&EN: In-field Identification of Low-Quality Medicines using Handheld Raman

In-field Identification of Low-Quality Medicines using Handheld Raman

The global pharmaceutical market's growth has led to an alarming increase in substandard and falsified (SF) medicines.

In-field Identification of Low-Quality Medicines

Abbemat refractometers allow fast and non-destructive refractive index and concentration measurements. All instruments of the Performance and Performance Plus lines provide full compliance with 21 CFR Part 11, including user levels, audit trail, and forgery-proof data export. The Abbemat T-Check feature precisely calibrates and adjusts the surface temperature of the measuring prism of all Anton Paar refractometers.We invite you to join us for a webinar aimed at the chemical industry as our specialist, Rene, demonstrates how the Anton Paar Abbemat can improve the quality control process.&nbsp;Objectives:<ul><li>Assure quality while reducing operating errors: enhance accuracy and reliability.</li><li>Comply with international standards: meet global standards and ensure your product meet the highest benchmarks.</li><li>Reduce waste of expensive ingredients: see first hand how precise measurements can minimize ingredient waste, optimizing your resources.</li></ul><blockquote>Presenter: René Nguyen Ph.D. (Product Specialist, Anton Paar)</blockquote>

Anton Paar: Quality Control with the Abbemat in the Chemical Industry

Quality Control with the Abbemat in the Chemical Industry

Webinar aimed at the chemical industry demonstrates how the Anton Paar Abbemat can improve the quality control process. 

During the production and packaging of lithium-ion batteries (LIB) their components are subject to mechanical and thermo-mechanical loading. The mechanical damage to the LIB cell can lead to short circuits which increase the risk of thermal runaway or decrease of the battery capacity and lifetime. Among critical properties of the LIB electrodes belong adhesion and elastic modulus.In this webinar we will present an application of the scratch test method using a wedge blade indenter for determination of adhesion of the electrode active layer.We will also show how elastic modulus, measured by nanoindentation, is related to the formulation of the active electrode layer and how mechanical properties can serve for determining more efficient electrode production process.This webinar is dedicated for all researchers in the Li-ion electrode development and mainly those concerned with mechanical characterization.Key Learning Objectives<ul><li>In this webinar we will demonstrate new methods for measurement of adhesion of functional coatings of lithium-ion battery electrodes and for characterization their mechanical properties.</li></ul>Who should attend?<ul><li>Researchers in the Li-ion electrode development in the battery industry and in academia</li></ul><blockquote>Presenter: Dr. Jiri NohavaDr. Jiri Nohava is the Head of Product Competence &amp; Lead Application Scientist at Materials Surface Characterization unit of Anton Paar. He obtained his PhD in materials science at the Czech Technical University in Prague (Czech Republic).He joined Anton Paar TriTec in 2007 and has since become a specialist in instrumented indentation, tribology and scratch testing. His main task is development of new applications with Anton Paar instruments in frame of scientific and industrial projects. He regularly publishes in peer-reviewed journals and participates at international conferences.</blockquote>

Anton Paar: Nano- and Micromechanical Characterization of Lithium-Ion Battery Electrodes: Adhesion and Hardness

Nano- and Micromechanical Characterization of Lithium-Ion Battery Electrodes: Adhesion and Hardness

Application of the scratch test method using a wedge blade indenter for determination of adhesion of the electrode active layer