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

Webinars LabRulezICPMS Week 07/2026

<p><strong>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.</strong></p><p>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.</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.5c05398"><strong>Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging</strong></a></h4><p>Barbara Umfahrer, Jakub Buday, Pavel Pořízka, Jozef Kaiser, Paolo S. Garofalo*, and Detlef Günther*</p><p>Anal. Chem. 2026, 98, 1, 581–589</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05398">https://doi.org/10.1021/acs.analchem.5c05398</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><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>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></p><p>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.</p><p>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.</p><h4><strong>Materials and Methods</strong></h4><h5><strong>LA-ICP-TOFMS Imaging</strong></h5><p>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 <sup>238</sup>U<sup>+</sup>/<sup>232</sup>Th<sup>+</sup> intensity ratio of 1.0 to 1.1 on NIST SRM 610 and a <sup>232</sup>Th<sup>16</sup>O<sup>+</sup>/<sup>232</sup>Th<sup>+</sup> rate of below 0.5%.</p><h5><strong>LIBS Imaging</strong></h5><p>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.</p><p>Data processing was done with Python 3.11.8 in the Spyder environment and included background correction and per-pixel z-score normalization.</p><h4><strong>Results and Discussion</strong></h4><h5><strong>LIBS and XRD Measurements</strong></h5><p>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.</p><p><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"></p><h5><strong>Renormalization Based on Carbonates</strong></h5><p>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 CO<sub>3</sub><sup>2–</sup> and its oxide equivalent O<sup>2–</sup> 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.</p><p><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"></p><p>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.</p><p>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.</p><h4><strong>Conclusion</strong></h4><p>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.</p><p>The segmentation step, based on UMAP embedding and <i>k</i>-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.</p><p>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.</p>

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

<p><strong>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.</strong></p><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation.</p><p>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.</p><blockquote><h5><strong>New Eurachem guidance on using in-house precision and recovery data will be discussed at the workshop.</strong></h5></blockquote><p>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.</p><h3><strong>Registration</strong></h3><blockquote><p class="cke-user_style-important"><strong>👉</strong><a target="_blank" rel="noopener noreferrer" href="https://conferences.chemistry.pt/register/eurachem2026"><strong>Register here for the workshop</strong></a></p></blockquote><h4><strong>Registration Fees</strong></h4><h5><strong>Early bird (EUR) - Until April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>400 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026): </strong>250 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026):</strong> 75</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026): </strong>250</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026):</strong> 150</li></ul><h5><strong>After April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>450 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026):</strong> 300 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026): </strong>100</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026):</strong> 300</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026): </strong>200</li></ul><blockquote><p>§ - <strong>50 EUR reduction for members of Eurachem</strong>, CITAC, SPQ, RELACRE, ForMEQ and SPMet at the workshop.</p><p>10% reduction for organisations that registered more than one participant.</p><p><sup>1 </sup>- Working group members</p><p><sup>2</sup> - Eurachem members</p><p><sup>3</sup> - 50% reduction for workshop participants</p></blockquote><h3><strong>Workshop</strong></h3><h4><strong>Eurachem/CITAC Workshop on Quality in Analytical Measurements:</strong></h4><h5><strong>Uncertainty Evaluation and Results Interpretation</strong></h5><p>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.</p><p>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.</p><p>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.</p><h3><strong>Training Course</strong></h3><h4><strong>Evaluation of the measurement uncertainty from in-house precision and recovery data</strong></h4><ul><li>10 May 2026</li></ul><p>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.</p><h5><strong>Trainers:</strong></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><strong>Agenda</strong></h4><h5><strong>8:00 Registration</strong></h5><h5><strong>9:00 Opening</strong></h5><h5><strong>9:05 Identifying, combining, and expanding uncertainty components: Theory and examples</strong></h5><h5><strong>9:45 Precision uncertainty: Theory and examples</strong></h5><h5><strong>10:30 </strong>Coffee break</h5><h5><strong>10:50 Trueness-related uncertainty: Theory and examples</strong></h5><h5><strong>12:00 Additional questions and discussion</strong></h5><h5><strong>12:30 </strong>Lunch</h5><h5><strong>13:30 Application example 1</strong></h5><h5><strong>15:30 </strong>Coffee break</h5><h5><strong>15:50 Application example 2</strong></h5><h5><strong>17:00 Additional questions and discussion</strong></h5><h5><strong>17:30 Closing</strong></h5><h3><strong>Venue</strong></h3><p>The series of Eurachem events will be held in:</p><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

Article

Events

Webinars

Scientific article

Science and research

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.

Eurachem

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Metrohm

Anton Paar

Agilent Technologies

Bruker

Thermo Fisher Scientific

<p><strong>Whereas the focus of Part I of this two part series was on entry level and mid-performance instrumentation, Part II will focus on the high end UV-Vis-nir instrumentation and the accessories which allow for a more complex measurements to be made. Measurements such as diffuse reflection and Absolute Reflectance at angles will be examined.</strong></p><blockquote><p><strong>Presenter:</strong> Mark Fisher, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)</p></blockquote><blockquote><p>Mark, an Application Scientist for Agilent Technologies, has over 30 years of experience in molecular spectroscopy. He has held roles in Agilent's UV-Vis-NIR, fluorescence, and atomic absorption product portfolios. In addition to identifying industry trends and new business needs, Mark's responsibilities include application development, pre and post-sales support, as well as acting as a customer advocate for new product and technology opportunities. Mark received his doctorate in analytical chemistry from the University of Nebraska-Lincoln.</p><p><strong>Presenter:</strong> Scott Melis, PhD (Application Scientist, Agilent Technologies, Inc.)</p><p>Scott Melis has a PHD in Physics from Georgetown University in Washington, DC and started with Agilent in 2021 as a Molecular Spectroscopy Application Scientist. In his graduate work, Scott studied nanoparticle formation and growth for a variety of applications. Projects that he worked with include developing processes to deposit and characterize semiconducting molecular nano-cocrystals for use in optoelectronic devices as well as controlling polymer nanoparticle size through rapid mixing conditions.</p></blockquote>

Agilnt Technologies: UV-Vis Instrumentation : From Routine to Advanced Applications Part II

UV-Vis Instrumentation : From Routine to Advanced Applications Part II

We will focus on the high end UV-Vis-nir instrumentation and the accessories which allow for a more complex measurements to be made.

UV-Vis Instrumentation : From Routine to Advanced Apps II

<p><strong>The Analysis of a Solvents in the Semiconductor Industry is a common application due to the uses in photolithography, and in wets purposes in the wafer fabrication environment.</strong></p><p>Traditionally elements like the Group 1, Group 2 and Transition Row elements were analyzed as they were charge carriers that damaged these semiconductor devices in their respective processes. However, as device sizes get smaller and smaller, and the desire for yields is higher the analysis for elements that were traditionally not analyzed in their matrices like Silicon, Sulfur and Phosphorus has increased. Silicon, Sulfur and Phosphorus are notoriously difficult to analyze due to their low ionization potentials and their low ionization in an argon plasma. Also, silicon sulfur and phosphorus all suffer from significant poly-atomic interferences which make trace level analysis of these elements in a carbon matrix nearly impossible.</p><p>The use of the Agilent 8900 Triple Quad ICPMS with MSMS technology was used to not only remove these poly-atomic interferences to trace levels in these matrices.</p><blockquote><p><strong>Presenter:</strong> Bert Woods (Application Scientist, Agilent Technologies, Inc.)</p><p>Joined the Agilent ICP-MS team in 2004, with previous employment in the semiconductor industry with Dominion Semiconductor (IBM/Toshiba) and Micron. Bert is a 1997 Chemistry graduate of Radford University in Virginia and an avid Washington DC Sports fan.</p></blockquote>

Agilent: Agilent Webinar Series - Semiconductor and Specialty Chemical Industry

Non-Traditional Elements in Semiconductor Solvents by 8900 Triple Quad ICP-MS

Elements in Semiconductor Solvents by 8900 QQQ ICP-MS

<p><strong>In this webinar we will discuss how you can deal with complex spectral interferences on ICP-OES by using Inter Element Correction (IEC) in an easy and simple way.</strong></p>
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<p><strong>Presenter:</strong> Matthew Gregory (Applications Specialist, TEA, Thermo Fisher Scientific)</p>
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<p>After graduating from the University of Surrey with an MChem in Chemistry, Matthew has gained 20 years’ experience of trace elemental analysis in industry, working in environmental and precious metal research laboratories. In 2018, Matthew joined Thermo Fisher Scientific as an Applications Specialist for the Trace Elemental Analysis product range in the UK and Ireland.</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> David Fishwick (Applications Specialist, TEA, Thermo Fisher Scientific)</p>
</blockquote>
<blockquote>
<p>David joined Thermo in 2022 as an Applications Specialist for the Trace Elemental Analysis product range in the UK and Ireland. Prior to joining Thermo, David has gained experience of trace elemental analysis and chromatography in industry, working in GMP, GLP and UKAS accrediated R&amp;D and pharmaceutical laboratories. David holds a BSc in Chemistry from Bangor University.</p>
</blockquote>


Thermo Scientific: How to use Inter Element Correction (IEC) to Overcome Interferences in ICP-OES

How to use Inter Element Correction (IEC) to Overcome Interferences in ICP-OES

How you can deal with complex spectral interferences on ICP-OES by using Inter Element Correction (IEC) in an easy and simple way.

How to use Inter Element Correction (IEC) in ICP-OES

<h4><strong>Beyond the Surface Module 1 - Indentation Series</strong></h4><p><i><strong>From Basic to Advanced Indentation Testing</strong></i> <strong>is an in-depth webinar series comprising four comprehensive sessions designed to take you from foundational concepts to advanced techniques in indentation testing. By registering for a single webinar, you will automatically be enrolled in the entire series—there's no need to submit separate registrations for each session. This streamlined approach ensures you have access to the full range of topics covered, from introductory principles to sophisticated methods, all aimed at enhancing your expertise and practical skills in materials testing.</strong></p><h5><strong>This webinar:</strong></h5><p style="margin:7.5pt 0in .0001pt;"><strong>December 3, 2024: Advanced Indentation - Cyclic Modes</strong></p><p style="margin:7.5pt 0in .0001pt;">In this webinar, we will delve into the complexities of cyclic indentation modes and the valuable insights they provide. The session will cover fundamental concepts such as cyclic mode principles, examining how they contribute to understanding material behavior under repeated loading conditions. We will explore the relationship between properties and depth, analyze the intricacies of stress and strain in cyclic testing, and review the storage and loss moduli that describe material viscoelastic properties.</p><p style="margin:7.5pt 0in .0001pt;">At the end of this webinar, attendees will be familiar with the core theory and practice of cyclic indentation methods, understand the properties and insights gained from these testing modes, and be able to identify technical challenges that can be addressed with cyclic mode data.</p><h5 style="margin-left:0in;"><strong>Other webinars in this series:</strong></h5><p><strong>November 19, 2024:&nbsp;Fundamentals of Indentation</strong></p><p style="margin:7.5pt 0in .0001pt;">This webinar will provide a comprehensive introduction to the theory and practice of instrumented indentation, covering essential topics such as the goals of indentation testing, the fundamental mechanisms behind it, data interpretation, and property mapping.</p><p style="margin-bottom:.0001pt;margin-right:0in;margin-top:7.5pt;">At the end of this webinar, attendees will be familiar with the fundamental principles of classical and instrumented indentation, understand how indentation is used in the research, development, and manufacture of materials and coatings, be able to interpret common features of indentation data, and identify how indentation results can be relevant to their own work.</p><p style="margin:7.5pt 0in .0001pt;"><strong>December 17, 2024: Indentation Optimization - Roughness</strong></p><p>In this module, we will address the challenges posed by rough surfaces in indentation measurements and explore effective strategies to manage or eliminate these impacts. We will start by defining roughness and its various forms, followed by a detailed examination of how surface roughness affects indentation measurements. The session will also provide insights into mitigating these effects, offering practical techniques and solutions to improve measurement accuracy and reliability.</p><p>At the end of this webinar, attendees will have a working definition of roughness and its impact on indentation measurements, be able to anticipate these impacts based on sample structure and identify them from data features, and know several approaches to compensate for these impacts.</p><p><strong>January 7, 2025: Indentation Optimization - Soft Materials</strong></p><p>This webinar focuses on the mechanical behavior of soft materials such as tissues, gels, and polymers, and provides practical strategies for obtaining high-quality indentation data from these materials. We will explore the characteristics of soft materials, including their unique mechanical properties and how they differ from more rigid materials. The module will also cover time-dependent characteristics, examining how the behavior of soft materials changes over time under applied forces. Additionally, we will discuss techniques and best practices for successful indentation of soft materials, ensuring accurate and reliable data collection.</p><p>At the end of this webinar, attendees will know the characteristics of soft materials relevant to indentation, recognize when material softness affects measurement quality, understand the additional nuances in the indentation of soft materials, and know how to optimize test parameters for these materials.</p><p><strong>By registering for a single webinar, you will automatically be enrolled in the entire series—there's no need to submit separate registrations for each session. This streamlined approach ensures you have access to the full range of topics covered, from introductory principles to sophisticated methods, all aimed at enhancing your expertise and practical skills in materials testing.</strong></p><blockquote><p><strong>Presenter:</strong> Mark R Haase</p><p>Mark R Haase is an Advanced Application Scientist at Anton Paar, and has been with the company for six years. They work with many material characterization techniques, including scratch, indentation, tribology, particle sizing, gas sorption, atomic force microscopy, and rheology. Mark supports the use of these techniques in research and industry with training and method development. Prior to joining Anton Paar, Mark's studies included nanocarbon materials and green energy systems.</p></blockquote>

Anton Paar: Beyond the Surface Module 1 - Indentation Series: From Basic to Advanced Indentation Testing

Advanced Indentation - Cyclic Modes

Beyond the Surface Module 1 - Indentation Series: From Basic to Advanced Indentation Testing

<div><p><strong>Join us for the first-ever Semicon e-Symposium, a one-day virtual event featuring expert discussions on crucial topics in the semiconductor industry, including yield improvement, sustainability, PFAS analysis, and advanced analytical techniques.</strong></p><p><strong>Here’s why you don’t want to miss this:</strong></p><ul><li>Discover how leading-edge analytical solutions are driving innovation, featuring a plenary talk by <strong>Dr. Stefanie Fingerhut</strong> from <strong>Merck KGaA</strong> on transforming semiconductor materials for mobile technology.</li><li>Explore key advancements in vacuum technology and regulatory updates.</li><li>Gain actionable insights from experts in GC-ICP-MS, UV-Vis spectroscopy, and a special talk by <strong>Inès Tendero </strong>from <strong>Technic France</strong> on the analysis of silicon in high-purity matrices.</li></ul><p>This is a must-attend event for anyone looking to stay informed on key trends and cutting-edge advancements in semiconductor manufacturing.<br>Don’t miss out—register today!</p><h4><strong>Agenda</strong></h4><p><strong>8:30 a.m. How Analytical Techniques Contribute to Yield Improvement and Environmental Sustainability in the Semiconductor Industry</strong></p><ul><li>Gernot Hudin, Agilent Technologies</li></ul><p><strong>9:00 a.m. Plenary Talk: The Hidden Connection: Merck's Advanced Analytical Techniques Transforming Semiconductor Materials for Mobile Technology</strong></p><ul><li>Dr. Stefanie Fingerhut, Merck KGaA</li></ul><p><strong>9:45 a.m. Agilent ICP-MS Supplies Selection Tips for the Semiconductor Industry&nbsp;</strong></p><ul><li>Alain Desprez, Agilent Technologies</li></ul><p><strong>10:00 a.m. PFAS 'Forever Chemicals'—Forever a Problem?</strong></p><ul><li>Shifen Xu, Agilent Technologies</li></ul><p><strong>10:30 a.m. Quantitative Workflow for the Analysis of PFAS in Semiconductor Lubricant with LC-MS (Q-TOF)</strong></p><ul><li>Peter Kornas, Agilent Technologies</li></ul><p><strong>11:00 a.m. Agilent Vacuum in Semiconductor Market</strong></p><ul><li>Fabio Ardissone, Agilent Technologies</li></ul><p><strong>11:30 a.m. GC, GC/MS, and GC-ICP-MS in Semiconductor: What, Why, and How?</strong></p><ul><li>Stephane Decouflet, Agilent Technologies</li></ul><p>12:00 p.m. Lunch break</p><p><strong>1:00 p.m. Semiconductor Application of Single Particle ICP-MS</strong></p><ul><li>Yoshinori Shimamura, Agilent Technologies</li></ul><p><strong>1:30 p.m. Is It Possible to Identify Organic Solvents by ICP-MS?</strong></p><ul><li>Katsuo Mizobuchi, Agilent Technologies</li></ul><p><strong>2:00 p.m. Special talk: Analysis of Si in High-Purity Matrix for Semiconductor Application&nbsp;</strong></p><ul><li>Inès Tendero, Technic France</li></ul><p><strong>2:30 p.m. Measuring the Band Gap Energy Using UV-Vis Spectroscopy</strong></p><ul><li>Marcus Schulz, Agilent Technologies</li></ul><p><strong>2:45 p.m. Recap—closing session</strong></p><ul><li>Gernot Hudin, Agilent Technologies</li></ul></div>

Semicon e-Symposium 2024

Expert discussions on crucial topics in the semiconductor industry.

<p><strong>Switching to a portable Raman device that can read through both transparent and non-transparent containers will help you move towards “zero waste”, drastically reduce sampling and associated costs, and increase productivity.&nbsp;</strong></p><p>The Agilent Raman Raw Material Identity Verification System (Vaya) enables zero-waste workflows with its new unique spatial shift Raman spectroscopy (SORS) technology, enabling raw materials to be verified through opaque and transparent containers. This unique innovation eliminates the need to sample most raw materials, significantly reducing unnecessary waste of time, personnel, and materials. Additionally, Vaya has received the Accountability, Consistency and Transparency (ACT) label certification from My Green Lab, highlighting the development and life cycle of environmentally friendly products.</p><p><strong>Key learning objectives: &nbsp; &nbsp;</strong> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</p><ul style="list-style-type:disc;"><li style="tab-stops:list 36.0pt;">Discover how we can identify materials through transparent and non-transparent packaging.</li><li style="tab-stops:list 36.0pt;">Learn how to build a robust method to avoid false positive identifications.</li><li style="tab-stops:list 36.0pt;">See how you can drastically reduce your consumables.</li></ul><blockquote><p><strong>Presenter:</strong> &nbsp;Rob Wills (Molecular Spectroscopy Specialist, Agilent Technologies)</p><p>Rob joined Agilent Technologies in March 2011 as Product Specialist for Molecular Spectroscopy covering UK, Ireland and Nordics. He has a wealth of technical and business experience accumulated over 30 years in the laboratory instrumentation business, during which time he has held a variety of roles. In his current role he acts as the technical liaison between the end user customer and the sales team, advising and creating solutions based on Agilent’s spectroscopy range that help give our customers the trusted answers they need and the valued insights they seek.</p></blockquote>

Agilent: Raw Material ID Through Non-Transparent Packaging Using Agilent Vaya Handheld Raman

Raw Material ID Through Non-Transparent Packaging Using Agilent Vaya Handheld Raman

If you regularly receive a large number of raw materials from a variety of suppliers at a high frequency, this webinar is for you!

Raw Material ID Using Agilent Vaya Raman

<p><strong>Preclinical studies using laboratory animal models are crucial to understanding the underlying disease mechanism through observations of responses to interventions and physiological and environmental changes at tissue, cell, or molecular level. As for clinical imaging, reliability, reproducibility, and repeatability are essential when groups of animals are used in a longitudinal imaging experiment. The more significant the variability of the imaging endpoint, the more animals are needed to be able to observe statistically significant differences between groups. Therefore, preclinical imaging requires quality control procedures to maintain the reliability, reproducibility, and repeatability of imaging procedures and to ensure the accuracy and precision of SPECT and PET quantification.</strong></p><p>Recently, a joint EANM-ESMI procedure guideline has been published to provide recommendations for the implementation of an effective and efficient quality control (QC) programme for SPECT and PET systems in a preclinical imaging lab. These recommendations aim to strengthen the translational power of preclinical imaging results obtained using preclinical SPECT and PET.</p><p>In this webinar, one of the authors will provide more insights into the published guidelines. The various criteria for the quality control program covered in these guidelines will be discussed further. Afterward, this webinar will cover how quality control procedures are implemented at MOLECUBES and how we are doing Quality control in our CUBEFLOW.</p><p>December 4, 2024 |&nbsp;04:00 PM CET</p><p><a target="_blank" rel="noopener noreferrer" href="https://www.bruker.com/en/news-and-events/webinars/2024/how-to-implement-an-efficient-quality-control-program-in-preclinical-imaging-insights-from-the-field.html#register"><a target="_self">Register Now&nbsp;</a></a></p><p><strong>Who Should Attend</strong></p><p>The webinar is relevant to those engaged in or interested in quality control in preclinical imaging, such as laboratory technicians, researchers, quality control analysts, or specialists. In addition, this webinar will be of interest to multiple profiles in the biomedical research community, especially those applying medical imaging techniques in their work.&nbsp;</p><blockquote><p><strong>Presenter: </strong>Prof. Dr. Christian Vanhove (Principal investigator - Institute Biomedical Technology (IBiTech), Associate professor (Faculty of Engineering and Architecture, UGent), Head of Innovative Flemish In-vivo Imaging Technology (INFINITY) lab, Senior staff member Medical Imaging and Signal Processing (MEDISIP) research group)</p><p>Christian Vanhove graduated as a Biomedical and Clinical Engineer from Brussels University in 1990. From 1991 until 1996, he worked as a Medical Physicist at the Nuclear Medicine department of the Sint-Elisabeth hospital in Zottegem, where he was doing research and development for the industry in a clinical environment. Research and developments were focused on all aspects of medical image processing, including image reconstruction, image registration and image quantification. In 1996, he moved to the Nuclear Medicine department of the Brussels University Hospital. As a Medical Physicist Expert, he continued his research in the field of medical image processing and obtained his PhD in Medical Science in 2004. In 2005, he was one of the initiators of the laboratory animal imaging lab of Brussels University and worked as a postdoctoral researcher at this preclinical imaging facility. During this period his research was focused on quantitative laboratory animal imaging. Since February 2011, he joined the Institute Biomedical Technology (IBiTech) of the Faculty of Engineering and Architecture of Ghent University, where he is responsible for the INnovative Flemish IN-vivo Imaging TechnologY (INFINITY) lab. INFINITY is part of CORE ARTH and an expertise center with a focus on non-invasive in vivo imaging of laboratory animals. One of the major research domains of INFINITY is multi-modality imaging in cancer research.</p><p><strong>Presenter:&nbsp;</strong>Dr. Milan Decuyper (R&amp;D Engineer, MOLECUBES)</p><p>Milan graduated from Ghent University with a Master of Science in Electrical Engineering, Communication, and Information Technology in 2017. After graduating, he joined the Medical Imaging and Signal Processing (MEDISIP) research group as a PhD researcher. During his PhD, Milan performed research on the use of artificial intelligence in medical imaging. He specifically investigated two applications: neural networks to improve spatial resolution of monolithic PET detectors and MR image analysis for computer-aided brain tumor diagnosis. In 2021, he joined MOLECUBES as an R&amp;D engineer part of the software team, where he currently develops data processing algorithms to bring new features and improvements to our cubes. This involves both optimizing raw measurement data processing and advancing image post-processing and analysis.</p></blockquote><p>&nbsp;</p><p>&nbsp;</p>

Bruker: How to Implement an Efficient Quality Control Program in Preclinical Imaging: Insights from the Field

How to Implement an Efficient Quality Control Program in Preclinical Imaging: Insights from the Field

Preclinical imaging requires quality control to ensure the accuracy and precision of SPECT and PET quantification.

Efficient Quality Control in Preclinical Imaging

<p><strong>Objects are far more than flat—they can be curved, bent, or even spiky. Unlike predominantly two-dimensional paintings, which are easily accessible for non-invasive analytical techniques, many Cultural Heritage artifacts are much more complex. Archaeological or handcrafted objects, made from metal, glass, wood, ceramics, stone, and organic materials, often have intricate forms. In such cases, high surface topography presents a significant challenge for imaging analysis with high spatial resolution.</strong></p><p>Recent experimental approaches for micro-XRF scanning seek to overcome this obstacle by evaluating techniques that either follow the surface topography or correct post-processed data from open beam systems based on the Ar-signal. However, tracking surface contours is impractical for highly irregular or intricate objects, where the spectrometer cannot always be ideally positioned perpendicular to the surface. Even corrections using the Ar-signal have their limitations. Despite advances in these methods, the complexity of the task remains significant, especially when it involves high-speed movements just millimetres away from a unique and irreplaceable object, increasing the risk of damage.</p><p>In this webinar, we will present various approaches for measuring a wide range of Cultural Heritage objects, from crucible fragments to large copper cauldrons, Indonesian meteoritic iron daggers to 18th-century French porcelain, and Italian glass beads to Chinese ceramics. These artifacts share a common challenge—they are often non-ideal for micro-XRF analysis. Factors such as their three-dimensional shapes, complex structures, or non-infinite geometries can complicate the process.</p><p>We will introduce different methodologies and workflows to overcome these obstacles, using a variety of case studies. With Bruker's patented Aperture Management System, we can achieve high spatial resolution even on samples with significant topography. This feature of the 2 x 60 mm² SDD high-end M6 JETSTREAM allows us to analyze complex objects without compromising their safety.</p><p>If you're curious to discover what spatially resolved micro-XRF can achieve, we invite you to join us for our webinar.</p><p><strong>Who should attend?</strong></p><ul><li>Everyone interested in or using XRF and micro-XRF as a qualitative and quantitative analysis technique for three-dimensional materials.</li><li>Archaeologist, Object conservators, Cultural Heritage Scientist</li><li>M4 TORNADO, M6 JETSTREAM users</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Roald Tagle (Global Manager Application Science XMP, Bruker Nano Analytics)</p><p><strong>Presenter: </strong>Mareike Gerken M.A. (Application Scientist XMP, Bruker Nano Analytics)</p><p><strong>Presenter: </strong>Michele Gironda (Head of Global Segment Management, Bruker Nano Analytics)<br>&nbsp;</p></blockquote>

Bruker: Analyzing archaeological objects and handcraft using micro-XRF analysis

Analyzing archaeological objects and handcraft using micro-XRF analysis

If you're curious to discover what spatially resolved micro-XRF can achieve, we invite you to join us for our webinar.

Analyzing archaeological objects using micro-XRF

<p><strong>Optimizing the production of Lithium-Ion Batteries (LIBs) hinges on several critical factors. Material costs are a significant expense, and high product failure rates can lead to substantial scrappage and waste, thereby increasing development time and costs.</strong></p><p>Key focus areas for improvement include reducing costly material waste (cathode, anode, and electrolyte), enhancing raw material characterization and quality control, and conducting failure analysis to understand the chemical and structural performance of failed components, using this feedback to implement improvements.</p><p>Join us for an insightful webinar where experts in Advanced X-ray and Magnetic Resonance Solutions will discuss how these cutting-edge technologies can significantly enhance LIB production. Our experts will cover strategies to reduce material waste, improve quality control, and conduct thorough failure analysis. Learn how these powerful analytical tools can optimize manufacturing processes, ensuring higher efficiency and lower costs. This session is essential for battery industry manufacturers looking to stay ahead in a competitive market.</p><p><strong>Key Takeaways</strong></p><ul style="list-style-type:disc;"><li style="tab-stops:list 36.0pt;">Monitoring Electrode Coating: Learn how to utilize analytical equipment to precisely monitor and control electrode coating processes, ensuring uniformity and quality.</li><li style="tab-stops:list 36.0pt;">Electrolyte Quality Control Testing: Discover methods for effective QC testing of electrolytes to maintain high standards and reduce failure rates.</li><li style="tab-stops:list 36.0pt;">Post-Mortem Cell Analysis: Gain insights into conducting detailed post-mortem analyses of battery cells to identify and rectify chemical and structural issues, leading to continuous process improvements.</li><li style="tab-stops:list 36.0pt;">Active Material Quality Control: Understand how to perform rigorous QC on incoming active materials using advanced analytical techniques to ensure consistency and reliability in battery cell production.</li></ul><p><strong>Who Should Attend</strong></p><ul style="list-style-type:disc;"><li style="tab-stops:list 36.0pt;">Battery manufacturers</li><li style="tab-stops:list 36.0pt;">Research and development organizations</li><li style="tab-stops:list 36.0pt;">Academic institutions</li><li style="tab-stops:list 36.0pt;">Material science organizations</li><li style="tab-stops:list 36.0pt;">Electrochemical and analytical chemistry organizations</li><li style="tab-stops:list 36.0pt;">Testing laboratories involved in battery research and development.</li><li style="tab-stops:list 36.0pt;">Government agencies involved in renewable energy and sustainability.</li><li style="tab-stops:list 36.0pt;">Investors interested in the battery market.</li><li style="tab-stops:list 36.0pt;">Battery technology experts and engineers</li></ul><blockquote><p><strong>Presenter:</strong> Hugues Guérault (Application Manager – Bruker Advanced X-Ray Solutions (Karlsruhe, Germany))</p><p>Hugues Guérault joined Bruker in 2002 as Application Scientist. He is now leading Bruker AXS application team and manages worldwide the activities of the application laboratories for equipment demonstrations and customer training.</p><p>Hugues holds a PhD in Material Science from Le Mans University (France) and made a post-doc at the University of Leuven (Belgium). Overall, he has acquired more than 25 years of experience in material characterization using X-ray diffraction.</p><p><strong>Presenter: </strong>Dr. Eduardo Nascimento (Field Application Scientist – AIC (Applied, Industrial &amp; Clinical MR Market Division))</p><p>Eduardo Nascimento holds a doctoral degree in Chemistry with experience in NMR-based metabolomics of biofluids and food. As a Research Associate worked on the development of analytical methods for red meat and beer analysis using HPLC-SPE-NMR and matrix-assisted DOSY. In 2013 joined Bruker do Brazil as an Application Engineer responsible for NMR installation, training, and customer support. Since 2016, he is working as a Field Application Scientist in charge of pre and post-sales activities focused on TD-NMR and Screener systems (FoodScreener and IVDr) at Bruker BioSpin in the United States.</p><p><strong>Presenter: </strong>Dr. Joerg Koehler (Head of Business Unit Industrial, Bruker BioSpin, Ettlingen, Germany)</p><p>Dr. Joerg Koehler studied physics and holds a doctoral degree from the Institute of Biophysics and Physical Biochemistry of the University of Regensburg. After several positions in sales, sales management, and business administration he joined Bruker as Head of Business Unit Industrial. Today Dr. Joerg Koehler is accountable for Bruker’s global activities in magnetic resonance in various industrial market segments including forensics.</p></blockquote><p>&nbsp;</p>

Bruker: Battery Cell Manufacturing Process improvement: Advanced X-ray and Magnetic Resonance Solutions

Battery Cell Manufacturing Process improvement: Advanced X-ray and Magnetic Resonance Solutions

Experts in Advanced X-ray and Magnetic Resonance Solutions will discuss how these cutting-edge technologies can significantly enhance LIB production.

Battery Manufacturing: X-ray and Magnetic Resonance

<div><div dir="" aria-atomic="true"><p id="isPasted"><strong>As petrochemical companies strive to enhance operational efficiency, finding an intersection between industry standards and process innovation is essential for sustainable growth. At the same time, there is pressure to lower costs in order to achieve a competitive advantage in an evolving market.</strong></p><p>In this webinar, Larry Tucker, Secretary Chairperson of Subcommittee 6 on Liquid Fuels and Lubricants, as well as Vice Chair of Subcommittee 3 on Inorganic Analysis for ASTM, will provide insights into the latest updates of ASTM D6122 and D8340. Elena Hagemann, Product Manager for Process Spectroscopy at Metrohm USA, will discuss recent advancements in process spectroscopy and their integration with Process Analytical Technology (PAT). Leave with an understanding on how to make smarter decisions to achieve a competitive advantage in the petrochemical landscape.</p><p id="isPasted"><strong fr-original-style="">Who should attend?</strong></p><ul><li>Production managers</li><li>Product development scientists</li><li>Process engineers</li><li>Operational managers</li><li>Quality control specialists&nbsp;</li><li>Plant manager</li></ul><p><strong fr-original-style="">Key learning points&nbsp;</strong></p><ul><li>Learn how Spectroscopy PAT can be applied to optimize processes, ensuring better quality and efficiency.</li><li>Gain a thorough understanding of ASTM D6122 and D8340, including recent updates and their impact on petrochemical applications.</li><li>Explore strategies to stay ahead of competitors by combining spectroscopy with ASTM standards for optimized performance and compliance.</li></ul><div><div dir=""><div><blockquote><div><strong>Presenter:</strong> Larry Tucker (Director of Norms and Standards, Metrohm USA)</div></blockquote></div></div></div><div><blockquote><p align="LEFT">Larry Tucker is the Director of Norms and Standards at Metrohm USA. In his 40-year career, Larry has held positions in sales, marketing and business development, as well as management. In his current role, Larry works with industry partners to improve and develop new test methods in the petroleum, environmental, pharmaceutical and food markets. He actively participates in ASTM Committee D02 Petroleum Products, Liquid Fuels and Lubricants where he serves as Secretary. He's also chairperson of subcommittee 6 Liquid Fuels and Lubricants. He has led and participated in the development and improvement of numerous ASTM test methods and standards. Larry received his B.S in Chemistry from the University of West FL and has over 35 years of industry experience in developing analytical test methods.</p></blockquote><div><div dir=""><div><blockquote><div><strong>Presenter: </strong>Elena Hagemann (Process Spectroscopy Product Manager, Metrohm USA)</div></blockquote></div></div></div><div><blockquote><p>Elena Hagemann is the Product Manager for Process Spectroscopy at Metrohm USA in Riverview, Florida. She earned her Master degree in Analytical and Bioanalytical Chemistry at the Applied University of Aalen, Germany, where she completed her studies with her Master thesis focused on Karl Fischer Titration, NIR Spectroscopy and Multivariate Data Analysis. Elena joined the Metrohm Group in August 2013 and started with Metrohm USA in January of 2018, focusing on Raman and NIR Spectroscopy. She performs internal as well as customer training.</p></blockquote></div></div></div></div>

Metrohm: Leveraging ASTM D6122 & D8340 for a Competitive Edge in Petrochemicals

Leveraging ASTM D6122 & D8340 for a Competitive Edge in Petrochemicals

We will discuss recent advancements in process spectroscopy and their integration with Process Analytical Technology (PAT).