<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

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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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Mettler-Toledo

Anton Paar

Milestone

Bruker

<header><h4><strong>How to Use Thermal Analysis to Improve Safety in the Chemical Industry</strong></h4></header><main><div><div><h5><strong>Program</strong></h5><ul><li>Basic concepts of safety analysis: time to maximum rate, criticality of a reaction</li><li>Thermal analysis and reaction calorimetry applications</li><li>Industry applications: differential scanning calorimetry (DSC)</li><li>Industry applications: thermogravimetry (TGA)</li><li>Interactive Q&amp;A session</li></ul></div></div><div><div><div><p>Accident prevention in chemical production plants is a critical topic, and avoiding incidents that could cause casualties or environmental harm is paramount. Thermal runaway reactions are often at the root of such incidents and must be effectively managed. By using thermal analysis and reaction calorimetry, you can easily assess the thermal safety of chemicals and processes. This means that thermal hazards can be identified at an early stage of process development, saving time, costs, and lives.</p><p>Join this live webinar to learn how thermal analysis techniques—DSC and TGA—are used to investigate hazardous compounds and conduct safety studies in the chemical industry. We will present real-life examples of safety investigations using these techniques.</p><p>Don’t miss the live <strong>Q&amp;A session</strong> where you can ask our experts your own questions. Secure your spot today.</p><h4><strong>How to Use Thermal Analysis for Safety Assessment</strong></h4><ul><li><strong>DSC</strong> is typically used to investigate the thermal safety aspects of individual chemicals. Reaction calorimetry is used to provide safety information about processes, for example, to determine the heat flow during the dosing of reactants or during stirring.</li><li><strong>TGA </strong>is useful for determining evaporation, desorption, and vaporization behavior, as well as thermal stability and the decomposition kinetics.</li><li><strong>Evolved gas analysis</strong> techniques are used to gain information about the products evolved during a decomposition reaction. The TGA module is combined with a technique, such as FTIR, MS, or GC-MS.</li><li><strong>TGA/DSC</strong> combines two different thermal analysis techniques to provide complementary information about a sample's thermal behavior.</li></ul><p>Don’t miss this opportunity to gain in-depth knowledge on safety evaluations for the chemical industry.&nbsp;</p></div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><div style="max-width:1px;width:100%;" id="mediaContainerWrapper_2110920040"><div style="height:1px;width:1px;" data-external-url="" id="mediaContainer_2110920040" data-advanced-option="false" data-width="1" data-height="1" data-video-id="">&nbsp;</div></div></div></div></div></div></main><div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><blockquote><div><strong>Presenter: </strong>Dr. Teresa Dennenwaldt</div><p>Dr. Teresa Dennenwaldt obtained her PhD in chemistry in 2013 and completed a postdoc at the Ecole Polytechnique Fédérale de Lausanne, Switzerland in the field of electron microscopy and spectroscopy. In 2018, she joined METTLER TOLEDO as an application specialist for Thermal Analysis. In her current position, she expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote></div></div></div>

Mettler Toledo: Thermal Analysis for Safety Evaluation of Chemical Processes

Thermal Analysis for Safety Evaluation of Chemical Processes

Join this webinar to explore how thermal analysis helps identify thermal hazards, improve process safety, and prevent runaway reactions in chemical production.

<header><h4><strong>Discover Six Different DSC Methods for Determining this Important Material Property</strong></h4></header><main><div><div><h5><strong>Program</strong></h5><ul><li>Definition of specific heat capacity</li><li>Importance of specific heat capacity</li><li>Presentation of the six DSC measurement methods in the STARe software</li><li>Measurement tips and hints</li><li>Interactive Q&amp;A session</li></ul></div></div><div><div><div><p>Specific heat capacity (cp) is the energy needed to increase the temperature of one unit of mass of material by exactly 1 °C. It is typically determined using differential scanning calorimetry (DSC) due to ease of use, short measurement times and accuracy.</p><p>Specific heat capacity is a characteristic, temperature-dependent, material property that is often specified in data sheets. It is a key property for improving technical processes such as injection molding, spray drying, and crystallization. It is critical in the safety analysis of chemical processes and design of chemical reactors.</p><h4><strong>Measurement Methods Discussed in the Webinar</strong></h4><p>Join our upcoming webinar where we present six different methods of calculating specific heat capacity. We first present the so-called <strong>Direct</strong> and <strong>Sapphire</strong> methods using a conventional DSC instrument and a linear temperature program. We then demonstrate four temperature-modulated DSC techniques: <strong>IsoStep DSC, Steady State ADSC, ADSC, and TOPEM</strong>.</p><p>Don’t miss this opportunity to gain in-depth knowledge about determining this critical material property. Register now and be sure to prepare your questions for our experts!</p><h4><strong>Heat Capacity vs Specific Heat Capacity</strong></h4><ul><li><strong>Heat capacity</strong> is the amount of energy needed to increase the temperature of an object by exactly 1 °C. Hence it is related to the size of the sample and does not characterize the material itself. The unit of heat capacity, Cp, is Joules per Kelvin (J/K).</li><li><strong>Specific heat capacity</strong> is the energy needed to increase the temperature of one unit of mass of an object by exactly 1 °C. This is calculated by dividing the heat capacity by the sample mass, which provides a more useful characterization of the material. The unit of specific heat capacity, cp, is typically expressed as Joules per gram per Kelvin (J/g/K).</li></ul></div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><div style="max-width:1px;width:100%;" id="mediaContainerWrapper_2110920040"><div style="height:1px;width:1px;" data-external-url="" id="mediaContainer_2110920040" data-advanced-option="false" data-width="1" data-height="1" data-video-id="">&nbsp;</div></div></div></div></div></div></main><div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><blockquote><div><strong>Presenter: </strong>Angela Hammer (Dr. sc. nat. ETH)</div><p>Dr. Angela Hammer received a Ph.D. in Analytical Chemistry (development of immobilized components for the use in ion-selective electrodes based on polyurethane membranes) from the Institute of Organic Chemistry at the Swiss Federal Institute of Technology in Zürich, Switzerland. She then joined Sika Technology AG in Zurich, Switzerland, as an analytical chemist. In 2007, she joined METTLER TOLEDO and has worked there since as an application specialist for Thermal Analysis. In her present position, she uses, teaches, and supports DSC, TGA, TMA, and DMA instruments for the METTLER TOLEDO’s Materials Characterization Group located at the head office in Switzerland.</p></blockquote></div></div></div>

Mettler Toledo: How to Determine Specific Heat Capacity by DSC

How to Determine Specific Heat Capacity by DSC

Explore six DSC techniques for measuring specific heat capacity and understand its importance in material performance, processing, and safety.

<div><div id="inner_content_body_text" data-content-id="394785"><p><strong>Rheology is an essential tool for understanding the material properties of polymers, especially in melt processing. While many are familiar with rotational or viscosity-based testing, oscillatory rheology offers valuable insights into how polymers behave under time- and temperature-dependent conditions during processes like melting, crystallization, and curing.</strong></p><p>In this webinar, we will touch on key concepts like the linear viscoelastic region (LVER) and frequency sweeps, before diving into more advanced applications in polymer melt processing. Practical examples will include analyzing melt flow, thermal stability, and structural integrity of polymer materials. Attendees will learn how to apply oscillatory rheology to real-world challenges in polymer melt characterization and processing, enhancing their ability to interpret rheological data and optimize material performance. Whether you're familiar with oscillatory testing or expanding beyond viscosity measurements, this session will provide practical tools to tackle complex polymer melt behaviors.</p><blockquote><p><strong>Presenter:</strong> John Raia</p><p>John Raia graduated from the University of Minnesota Twin Cities in 2012 with a bachelor’s degree in chemistry. He specializes in rheology, with a strong focus on powder rheology, integrating techniques like particle sizing, zeta potential, and morphology to deepen insights into material behavior.</p><p>As an Advanced Application Scientist at Anton Paar, he supports industries ranging from pharmaceuticals to cosmetics, providing training and technical expertise to help users understand how materials flow and interact. Known for making complex concepts accessible, he excels at connecting classical rheology to practical applications.</p></blockquote></div></div>

Anton Paar: Polymer Rheology: Testing Behavior Across Time and Temperature

Polymer Rheology: Testing Behavior Across Time and Temperature

Learn how oscillatory rheology helps characterize polymer melts, from LVER basics to advanced applications in melt processing, stability, material performance.

Testing Behavior Across Time and Temperature

<div><div id="inner_content_body_text" data-content-id="394785"><p><strong>Extensional deformation plays a crucial role in processes such as blow molding, film blowing, coating, and fiber spinning—applications where shear rheology alone falls short in characterizing material behavior.</strong></p><p>In this session, real measurements are used to visually give an understanding of the core concepts of extensional rheology. Examples of standard polymers will be used to explain measuring principles and techniques.</p><p>Our measuring solutions, the SER cell and UXF cell, will be introduced, as well as current trends in extensional rheology. Participants will gain insights into choosing the appropriate setup based on their testing goals, whether for product development, competitive benchmarking, or quality control.</p><p>Whether you’re new to rheology or looking to deepen your expertise, this webinar offers a compact yet comprehensive foundation in the elongational flow behavior of polymers.</p><blockquote><p><strong>Presenter:</strong> Philana Kruse, M.Sc.</p><p>Philana Kruse has a background in chemistry and plastics technology. As a research fellow at the chair for Plastics Technology, her academic work was centered around the rheological characterization of polymer materials. For the past two years she has been part of Anton Paar, where she supports customers in the field of polymer rheology with a focus on extensional testing methods.</p></blockquote></div></div>

Anton Paar: Extensional Rheology of Polymers: Air Bearing Rheometer Applications

Extensional Rheology of Polymers: Air Bearing Rheometer Applications

Explore extensional rheology of polymers, measuring principles, SER and UXF cells, practical applications in blow molding, film blowing, fibers.

Air Bearing Rheometer Applications

<div><div id="inner_content_body_text" data-content-id="394785"><p><strong>Humidity plays a crucial role in determining the behavior and performance of polymeric and soft materials. This webinar explores how varying levels of humidity influence material responses such as rheology, tackiness, and tribological behavior.</strong></p><p>Through controlled humidity experiments, the session demonstrates how water absorption and desorption alter material properties like modulus, viscosity, curing, and flowability of different materials. Case studies will include practical examples across diverse applications, such as polymer films, adhesives, food products, powders, and coatings. Humidity is shown to have both reversible and irreversible effects on the softening of gelatin and tackiness of chewing gum to the curing of silicone sealants, and flowability of powders.</p><p>Participants will gain insights into how humidity affects product performance, shelf life, and processing—leading to better design, formulation, and quality control in research and industrial applications</p><blockquote><p><strong>Presenter:</strong> Mohammed Naimul Hoque, PhD</p><p>Mohammed Naimul Hoque is an Advanced Application Engineer – Rheology at Anton Paar USA, specializing in the rheological characterization of complex fluids and colloids. His work involves customer sample testing, collaborating with academic and industrial clients, and providing training on rheological instruments and techniques.</p><p>Prior to joining Anton Paar, Naimul earned his PhD in Mechanical Engineering from Texas Tech University, where his research focused on modeling the flow behavior of colloidal dispersions and predicting their extrusion behavior using extensional rheological techniques, such as dripping-onto-substrate (DoS) rheometry.</p></blockquote></div></div>

Anton Paar: Polymer Rheology: Impact of Humidity on Material Behavior

Polymer Rheology: Impact of Humidity on Material Behavior

Explore the effects of humidity on polymers and soft materials, including rheology, tackiness, curing, and flowability, with practical case studies.

Impact of Humidity on Material Behavior

<p><strong>Platinum Group Metals, especially Iridium, Ruthenium, and Rhodium, are among the most chemically resistant materials encountered in analytical laboratories. Their metallic and oxide forms require extreme conditions that exceed the capabilities of conventional microwave systems.</strong></p><p>This webinar showcases how Milestone’s ultraWAVE 3 with SRC technology achieves complete dissolution (&gt;99%), enables the digestion of significantly larger sample masses, and dramatically reduces digestion time compared to traditional methods. Drawing on results from our application study, we will present optimized workflows, chloride-based chemistries, and oxide-reduction strategies that deliver higher accuracy, stronger representativity, and improved productivity for PGM refining, recycling, and catalyst applications.</p><h4><strong>👇 Key learnings:</strong></h4><ul><li>How ultraWAVE 3 enables complete digestion of refractory PGMs, including oxide forms.</li><li>Best practices for reagent selection and oxide-reduction workflows.</li><li>How SRC technology improves accuracy through larger sample intake and lower blanks.</li><li>Essential guidelines for safely operating under extreme acid and temperature conditions.</li></ul><p>🎤 Live Q&amp;A included – get your questions answered directly by our expert.</p><blockquote><p><strong>Speaker:</strong> Gianpaolo Rota (Application Specialist at Milestone)</p></blockquote>

Milestone: Reliable Digestion of Platinum Group Metals: A New Benchmark with ultraWAVE 3

Reliable Digestion of Platinum Group Metals: A New Benchmark with ultraWAVE 3

Complete digestion of platinum group metals using Milestone ultraWAVE 3, covering SRC technology, optimized chemistries, and high-accuracy PGM workflows.

Digestion of Platinum Group Metals with ultraWAVE 3

<p><strong>Sample preparation for elemental analysis is one of the most resource-intensive steps in the laboratory, involving aggressive acids, energy use, and significant waste generation.</strong><br><strong>This webinar will show how Milestone’s sustainable innovations, and the GreenPrep MW Score, provide a clear, measurable framework for reducing environmental impact without compromising analytical quality. Through improvements in chemistry, technology, and workflow, laboratories can cut reagent consumption, lower energy per sample, extend vessel lifetime, and reduce gas waste. Attendees will learn practical strategies to adopt greener protocols and evaluate their own processes using objective sustainability metrics.</strong></p><h4><strong>Key Learning Objectives:</strong></h4><ul><li>Understand the <strong>GreenPrep MW Score</strong> and how it provides an objective way to evaluate and benchmark sustainability in sample preparation.</li><li><strong>Reduce environmental impact by adopting</strong> greener digestion chemistries that minimize acid volumes, waste, and operator exposure.</li><li>Leverage <strong>energy-efficient microwave technologies</strong> to lower energy consumption per sample while maintaining high digestion performance.</li><li>Enhance <strong>workflow sustainability</strong> through acid purification, automated reagent dosing, and cleaner, safer vessel-handling practices.</li></ul><blockquote><p><strong>Speaker:</strong> Lorenzo Rossi (Application Specialist at Milestone)</p></blockquote>

Milestone: Sustainable Sample Preparation for Elemental Analysis: Practical Actions for a Greener Lab

Sustainable Sample Preparation for Elemental Analysis: Practical Actions for a Greener Lab

Sustainable sample preparation for elemental analysis, introducing Milestone GreenPrep MW Score, greener chemistries, and energy-efficient microwave digestion.

Sample Preparation for Elemental Analysis

<h4><strong>Food &amp; Feed Sample Preparation Webinar Series</strong></h4><p><strong>Ensuring food and feed quality requires reliable determination of both contaminants and nutrients, yet sample preparation remains one of the most challenging and time-consuming steps in the analytical workflow. This webinar series introduces modern approaches to digestion and extraction that improve data quality, reduce reprocessing, and increase laboratory productivity. Through four dedicated events, covering heavy metals, organic contaminants, macro/trace minerals, and nutritional parameters such as fats, FAMEs, and amino acids, participants will discover optimized, practical workflows tailored to real-world food and feed testing.</strong></p><h4><strong>Session: Heavy Metals in Food: Digestion Strategies and Complete Sample Prep Workflow</strong></h4><p>Heavy metals such as Pb, Cd, As, and Hg are strictly regulated in food and feed, requiring robust digestion and a well-controlled sample preparation workflow. This webinar covers best practices for microwave digestion of diverse food matrices using systems such as ETHOS and ultraWAVE 2 eco. A case study on baby food will illustrate common challenges such as matrix complexity, contamination control, and blank management. Participants will learn how to build a reliable sample-to-analysis workflow that ensures accuracy, reduces re-runs, and supports regulatory compliance.</p><blockquote><p><strong>Speaker:</strong> Giulio Colnaghi (Marketing Manager, Milestone Srl)</p></blockquote>

Milestone: Food & Feed Sample Preparation Webinar Series

Heavy Metals in Food: Digestion Strategies and Complete Sample Prep Workflow

This webinar covers best practices for microwave digestion of diverse food matrices using systems such as ETHOS and ultraWAVE 2 eco. 

Digestion Strategies and Complete Sample Prep Workflow

<h4><strong>Food &amp; Feed Sample Preparation Webinar Series</strong></h4><p><strong>Ensuring food and feed quality requires reliable determination of both contaminants and nutrients, yet sample preparation remains one of the most challenging and time-consuming steps in the analytical workflow. This webinar series introduces modern approaches to digestion and extraction that improve data quality, reduce reprocessing, and increase laboratory productivity. Through four dedicated events, covering heavy metals, organic contaminants, macro/trace minerals, and nutritional parameters such as fats, FAMEs, and amino acids, participants will discover optimized, practical workflows tailored to real-world food and feed testing.</strong></p><h4><strong>Session: Digestion of Food &amp; Feed for Nutrient Analysis: Macro and Trace Minerals</strong></h4><p>Nutrient profiling requires accurate digestion of food and feed samples to determine essential macro- and trace minerals. This webinar explains how microwave digestion platforms such as ETHOS and ultraWAVE enable complete dissolution across a wide range of matrices, including dairy, cereals, high-fat foods, and animal feed. We will outline acid selection, matrix-specific challenges, blank control, and strategies to minimize reprocessing. Attendees will learn practical workflows to support nutritional labeling and quality control.</p><blockquote><p><strong>Speaker:</strong> Gianpaolo Rota (Application Specialist, Milestone Srl)</p></blockquote>

Digestion of Food & Feed for Nutrient Analysis: Macro and Trace Minerals

Webinar on microwave digestion of food and feed for nutrient analysis, focusing on macro and trace minerals, matrix challenges, and reliable QC workflows.

Digestion of Food & Feed for Nutrient Analysis

<div><p><strong>Join us for a 60-min free, online seminar demonstrating how X-ray Fluorescence (XRF) spectrometry delivers fast, reliable elemental data for process and quality control in the petrochemical industry. XRF enables norm compliant analysis at different process stages and in final fuel products (e.g., ASTM D2622, D4294, D7220; ISO 20884), as well as downstream at tank farms and depots. It is an essential tool for assessing additives in lubricants and detecting wear metals in engine oils, following standards such as ASTM D6443 and DIN 51399.</strong></p><p><a target="_blank" rel="noopener noreferrer" href="https://www.bruker.com/en/news-and-events/webinars/2026/from-crude-to-petrochemical-product.html#register"><strong>Register now</strong></a> to discover how latest XRF technology can enhance your workflow, improve product quality and reduce costs. In our lab sessions we will share practical tips and demonstrate our instruments in-action, including the new S8 TIGER Series 3.</p><p><strong>Select the session that works best for you</strong>, both deliver the same expert insights. Can’t join us live? No problem! Register now, and we’ll send you the on‑demand recording so you can watch it whenever it suits you.</p><h4><strong>Learning Objectives:</strong></h4><ul><li>How XRF enables fast &amp; accurate analysis of petrochemicals</li><li>Application examples from crude &amp; pet coke to fuel &amp; lubricant</li><li>ASTM D2622, ASTM D7220, ISO 20884, ASTM D6443, DIN 51399-2 and more</li><li>Guidance when to choose EDXRF or WDXRF</li><li>Latest XRF technology advances for petrochemical analysis</li></ul><h4><strong>Agenda:</strong></h4><ul><li>Welcome &amp; Introduction</li><li>Optimize Refinery Processes &amp; Ensure Compliance</li><li>Lab Session 1: WDXRF Solutions for Central Labs</li><li>Quality Assurance &amp; Cost Reduction in Lubricant Manufacturing</li><li>Lab Session 2: EDXRF for Additives in Lubricants</li><li>Q&amp;A Session</li></ul><blockquote><p><strong>Presenter:</strong> Dr. Kai Behrens (Head of XRF Product Line Management, Bruker AXS)</p><p><strong>Presenter:</strong> Dr. Adrian Fiege (Product Manager XRF, Bruker AXS)</p><p><strong>Presenter:</strong> Renata Janjic (Application Scientist XRF, Bruker AXS)</p><p><strong>Presenter:</strong> Frank Portala (Product Manager XRF, Bruker AXS)</p></blockquote></div>

Bruker: From Crude to Petrochemical Product – Enhancing Quality Control with Smarter XRF Solutions

From Crude to Petrochemical Product – Enhancing Quality Control with Smarter XRF Solutions

Learn how modern XRF enables ASTM- and ISO-compliant petrochemical analysis, improving refinery control, lubricant QA, and cost efficiency.

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