<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

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Thermo Fisher Scientific

SelectScience

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<ul>
<li><strong>Learn the various optical performance parameters</strong></li>
<li><strong>Learn which parameters need to be monitored</strong></li>
<li><strong>Benefits of automated performance qualification</strong></li>
<li><strong>Solution for data integrity compliance in optical instrument qualification</strong></li>
<li><strong>Overview of available service offerings from METTLER TOLEDO</strong></li>
</ul>
<p>During the webinar, we will go into depth about these questions and more:</p>
<h5><strong>What certified reference materials (CRMs) are specified for wavelength accuracy and precision tests by both Pharmacopeias?</strong></h5>
<p>USP: Rare earth oxide solutions/glasses (Ce, Ho, Didymium) or Hg/D2 emission lines</p>
<p>Ph. Eur.: Ho(ClO4)3, Ce2(SO4)3 solutions, or Ho/Didymium glasses, or Hg, D2, Ne, Xe lines</p>
<h5><strong>What CRMs are specified for photometric accuracy and precision tests by both Pharmacopeias?</strong></h5>
<p>USP: for UV range, Nicotinic acid in HCl (6 – 60 mg/L, up to 2.5 A, 213 and 261 nm) or K2Cr2O7 in HClO4 (6 – 200 mg/L, up to 3.0 A, 235, 257, 313, 350 nm); for visible range, neutral density glass filters (up to 3.5 A, 440, 465, 546.1, 590, and 635 nm)</p>
<p>Ph. Eur.: Suitable solid and liquid filters such as certified PDC or neutral density filters; or, instead of certified PDC, Nicotinic acid in HCl.</p>
<h5><strong>What CRMs are specified for photometric linearity tests by both Pharmacopeias?</strong></h5>
<p>USP and Ph. Eur., respectively, specify to use the materials for photometric accuracy tests also for photometric linearity tests.</p>
<h5>Target Audience</h5>
<p>Lab Managers, Lab Technicians, System Owners, Quality Assurance Managers, Quality Assurance Operators</p>
<blockquote>
<p><strong>Presenter:</strong> Dr. Fabian Müller (Product Manager SPG UV/VIS)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Dr. Hans-Joachim Muhr (Business Development Manager BioTech)</p>
</blockquote>


METTLER TOLEDO: Pharmacopeia – What to Check on UV Vis Spectrophotometers? 

Pharmacopeia – What to Check on UV Vis Spectrophotometers? 

USP and Ph. Eur. Requirements Placed on UV/Vis Spectrophotometers

Pharmacopeia – What to Check on UV Vis Spectrophotometers?

<p><strong>As part of the global effort to reduce CO₂ emissions, biofuels are becoming an increasingly important source of green energy.</strong></p>
<p>Quality control testing of biofuels is therefore crucial to ensure the efficiency and reliability of biogas, biodiesel, and fuel ethanol.  </p>
<p>In this webinar you will learn about the latest laboratory testing techniques that are used to ensure the quality, efficiency, and sustainability of modern biofuels to enable producers to confidently meet international regulatory requirements and to promote their widespread adoption in both industry and the wider society at large. </p>
<p>Experts from Agilent Technologies will introduce a wide range of analytical testing solutions covering multiple technologies that are routinely used to detect organic and inorganic impurities in biodiesel and enable the stringent quality control of fuel ethanol, biogas and biogas blends to be achieved. The expert panel will be available to answer questions from the audience at the end of the presentation. </p>
<blockquote>
<p><strong>Presenter:</strong> Danny van Oevelen (LC Product Specialist, Agilent Technologies)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Luca Godina (GC &amp; GC/MS Application Specialist, Agilent Technologies)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Sebastien Sannac (Spécialiste produit spectroscopie atomique, Agilent Technologies)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Donald Inglis (Product Specialist EMEAI for FTIR, Agilent Technologies)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Remko van Loon (GC &amp; GC/MS Product Specialist, Agilent Technologies)</p>
</blockquote>


Agilent Technologies: Comprehensive Quality Control Testing of Biofuels to Ensure a Greener, more Sustainable Future

Comprehensive Quality Control Testing of Biofuels to Ensure a Greener, more Sustainable Future

Learn about the latest laboratory testing techniques that are used to ensure the quality, efficiency, and sustainability of modern biofuels.

Comprehensive Quality Control Testing of Biofuels

<p><strong>X-ray Fluorescence (XRF) spectrometry is a widely used analytical technology for the determination of elemental concentrations in various sample types (liquids, powders, granules, solids, …). Key benefits of XRF include high precision &amp; accuracy, ease-of-use, and short time-to-result. The required sample preparation is minimal compared to alternative technologies like ICP-OES. Even though XRF sample preparation is fast and simple, doing it right is pivotal for using XRF successfully, especially for high-throughput industrial applications. By choosing the appropriate preparation approach and following certain best practice steps, you can save time and money while ensuring the necessary data quality.</strong></p>
<p>Which foil should I use for which liquid? Do I need to polish my sample? When should I grind, press or fuse a sample? And why? </p>
<p>These and more questions will be answered.</p>
<p>Register now to learn about optimal sample preparation for XRF! </p>
<p>In our lab sessions, we will show valuable tips and tricks for various applications and materials. Our experts will answer your questions during our Q&amp;A session.</p>
<h5><strong>Agenda (60 min)</strong></h5>
<ul>
<li>Basics of Sample Preparation</li>
<li>Lab Session 1: Liquid Samples</li>
<li>Lab Session 2: Powders &amp; Pellets</li>
<li>The Effect of Grain Size, Pressing and Matrix </li>
<li>Lab Session 3: Fused Beads  </li>
<li>Lab Session 4: Small Spot &amp; Mapping</li>
<li>Q&amp;A Session with our Experts</li>
</ul>
<h5><strong>Best practice examples will be provided for:</strong></h5>
<ul>
<li>All Techniques and Sample Types</li>
<li>Mining &amp; Cement</li>
<li>Petrochemicals &amp; Polymers</li>
<li>RoHS Analysis (Small Spot)</li>
<li>Defect Analysis (Mapping) </li>
<li>and more …</li>
</ul>
<h5><strong>Who should attend?</strong></h5>
<ul>
<li>QA Managers</li>
<li>Head of Laboratories </li>
<li>Consultants</li>
<li>Lab Technicians</li>
<li>Researchers</li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Dr. Kai Behrens (Head of XRF Product Line Management, Bruker AXS)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Dr. Adrian Fiege (Product Manager XRF, Bruker AXS)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Renata Janjic (Application Scientist XRF, Bruker AXS)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Frank Portala (Product Manager XRF, Bruker AXS)</p>
</blockquote>


Bruker: XRF Unveiled: Mastering the Art of Sample Preparation

XRF Unveiled: Mastering the Art of Sample Preparation

We will show valuable tips and tricks for various applications and materials. Our experts will answer your questions during our Q&A session.

<p><strong>Increase process understanding and shorten time to market of therapeutics using inline variable pathlength spectroscopy. In this webinar we will discuss how the FlowVPX System can be integrated in-line, at different steps in a downstream process, to help reduce cycle time and save money by monitoring and controlling CQA (concentration).</strong></p>
<p><strong>Key Learning Objectives:</strong></p>
<ul>
<li>Overview of slope spectroscopy and how it differs from traditional fixed-pl uv-vis techniques and instruments.</li>
<li>Learning how the FlowVPX System can help increase process understanding, strengthen process control with high quality concentration results, and eliminate hold-up times for increased resource utilization.</li>
<li>Analyzing downstream applications for chromatography, ultra-filtration/diafiltration, and formulation.</li>
</ul>
<p><strong>Who Should Attend:</strong></p>
<ul>
<li>MSAT Director and Scientists</li>
<li>Process Development Directors and Scientists</li>
<li>Process Analytical Technology Directors and Scientists</li>
<li>Biopharma Organizations</li>
<li>Downstream Purification for mRNA, pDNA, mABs, fusion proteins, and peptides</li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Jigar Patel (Sr. Bioprocess Applications Engineer, Repligen)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Punya Bhat (Bio-Analytics Applications Specialist, Repligen)</p>
</blockquote>
<blockquote>
<p><strong>Moderator:</strong> Melissa O&#39;Meara (Forensic Science Consultant, C&amp;EN Media Group)</p>
</blockquote>


C&EN: VMaximize Downstream Control and Efficiency with In-line Concentration Measurement

Maximize Downstream Control and Efficiency with In-line Concentration Measurement

In this webinar we will discuss how the FlowVPX System can be integrated in-line, at different steps in a downstream process.

In-line Concentration Measurement

<p><strong>In this webinar, a panel of expert speakers will explore the advancements of the QBD 1200 Plus, a cutting-edge new instrument in the field of total organic carbon (TOC) analysis.&nbsp;</strong></p><p>Hosted by Beckman Coulter Life Sciences, this roundtable event will feature insights from industry experts who will discuss the evolution of the QBD 1200, the improvements in nondispersive infrared (NDIR) stability, and the features of the QBD 1200 Plus. Attendees will have the opportunity to engage with the panel, ask questions, and learn how the QBD 1200 Plus is setting new standards in TOC analysis for various applications, including pharmaceutical and industrial use. Join us for an in-depth discussion on how Beckman Coulter Life Sciences continues to lead the way in reliable and high-performance TOC analysis technology.</p><h5>Key learning objectives</h5><ul><li>Understand the evolution of TOC analysis technology<br>&nbsp;</li><li>Explore the improvements in NDIR stability<br>&nbsp;</li><li>Learn about the innovative features of the QbD 1200 Plus</li></ul><h5>Who should attend?</h5><ul><li>QC/QA managers, Facility directors, Regulatory specialists, GMP professionals, QC analysts, microbiologists, training and production managers interested in GMP compliance and global regulations, tools, and techniques.</li></ul><blockquote><p><strong>Presenter: </strong>Kyran Page (Current System engineer, Beckman Coulter Life Sciences)<br><br><strong>Presenter:&nbsp;</strong>Matt Chausseau (Senior Technical Product Manager, Beckman Coulter Life Sciences)<br><br><strong>Presenter:&nbsp;</strong>Carrie Haslam (Associate Editor, SelectScience)</p></blockquote>

SelectScience: The future of TOC analysis

The future of TOC analysis

The advancements of the QBD 1200 Plus, a cutting-edge new instrument in the field of total organic carbon (TOC) analysis.

<p><strong>Join our expert application scientist to learn about the&nbsp;new features available in the TruScan G3 for pharmaceutical and biotechnology manufacturing QA/QC.</strong></p><p>Discover how the new Thermo Scientific™ TruScan™ G3 Handheld Raman Analyzer uses Raman spectroscopy to perform accurate and reliable material identification at the point of need, minimizing the need for costly and time-consuming laboratory sampling tests.</p><h4><strong>You will learn:</strong></h4><ul><li><strong>How to stay compliant with 21CFR Part11 requirements</strong></li><li><strong>The backwards compatibility with Thermo Scientific™ TruScan™ RM methods</strong></li><li><strong>The patented superior algorithm</strong></li><li><strong>New features and capabilities available in the TruScan G3</strong></li></ul><h5><strong>Who should attend:</strong></h5><ul><li>Quality Control Professionals</li><li>Process Analytics Professionals</li><li>Quality Assurance Professionals</li></ul><blockquote><p><strong>Presenter: </strong>Kathy Rosalina</p><p>Kathy Rosalina is a Product Applications Engineer at Thermo Fisher Scientific, responsible for the technical and applications support for Portable Analytical Instruments in raw materials verification, counterfeit detection, and PAT control. Kathy has a decade of experience in the use of vibrational spectroscopy and chemometric analysis for a wide range of application areas in pharma, biotech, and chemical industries. She has extensive knowledge in implementation and validation of handheld instruments in pharmaceutical customers.</p></blockquote>

Thermo Scientific: Discover the next generation of raw material ID testing for QA/QC

Discover the next generation of raw material ID testing for QA/QC

Learn about the new features available in the TruScan G3 for pharmaceutical and biotechnology manufacturing QA/QC.

Discover the next generation of raw material ID testing

<p><strong>Join Agilent and GERSTEL for a 3-day live virtual seminar discussing how you can assure safety, authenticity, and quality of alcoholic beverages. The focus will be on sharing the latest in technology developments and capabilities, new applications, and customer stories.</strong></p><h4>Presentation 1: Use of FTIR Technology for the Analysis of Sugars and Sweeteners in the Production of Alcoholic Beverages</h4><ul><li><i>Rogelio García Juárez, Pre-Sales Application Engineer – Agilent Technologies</i></li></ul><p>Currently, fast, and accurate methods are required for the analysis of raw materials and various sources to produce alcoholic beverages, for the rapid identification and quantification of these materials, let's review FTIR technology for process controls, as the ideal alternative to other techniques such as HPLC.</p><h5>Key Learning Objectives/What attendees will learn:</h5><p><strong>1. The use of Fourier Transform Infrared (FTIR) Technology in applications for the alcoholic beverage industry.</strong></p><p><strong>2. Analysis for the identification and release of raw materials used in preparation of Spirits.</strong></p><p><strong>3. Quick methods to determine the concentration of sugars and sweeteners for process control.</strong></p><h5>Who Should Attend:</h5><ul><li>Producers of alcoholic beverages, distillates, prepared liqueurs, juices, and extracts.</li></ul><h4>Presentation 2: GC-MS Techniques for the Determination of 2-Methylisoborneol and Geosmin in Finished Whiskey</h4><ul><li><i>Nicole Kfoury, Applications Scientist, GERSTEL,Inc.</i></li></ul><p>2-Methylisoborneol (MIB) and geosmin are naturally occurring metabolites formed by bacteria and fungi, most often in surface water sources. They have musty/earthy odors and very low odor thresholds, meaning they can be smelled at concentrations of 1-10 ppt in water. As a result, products, such as whiskey, that use contaminated water in the process may have musty, earthy odors in the finished product. Due to the complexity of the whiskey matrix and the low odor threshold of MIB and geosmin, they can be challenging to quantify accurately. This work shows that a selectable, heartcutting 1D/2D-GC-MSD is required to accurately quantify MIB and geosmin in finished whiskey. &nbsp;</p><h5>Key Learning Objectives/What attendees will learn:</h5><p>1. <strong>Overview of solid phase microextraction (SPME) versus stir bar sorptive extraction (SBSE).</strong></p><p><strong>2. Overview of multidimensional, heartcutting GC-MS.</strong></p><p><strong>3. How to accurately measure the concentration of 2-methylisoborneol and geosmin in complex samples such as whiskey.</strong></p><h5>Who Should Attend:</h5><ul><li>Analytical chemists in the food, flavor, fragrance, and beverage industries.</li></ul><blockquote><p><strong>Presnter: </strong>Rogelio García Juárez (Pre-Sales Application Engineer, Agilent Technologies)</p><p>Rogelio García is an Applications Engineer for Molecular Spectroscopy in UV-Vis, FTIR, and Raman techniques at Agilent México and Latin America. Rogelio has a Bachelor’s Degree in Pharmaceutical Chemistry and a Master´s Degree in Environmental Engineering. He has worked in several developments of methods and applications in water, soil, and air, as well as in method design for the Pharmaceutical and Food industry. In this last one, he has developed an outstanding application method for alcoholic beverages such as Tequila using FTIR technology.</p><p><strong>Presnter:&nbsp;</strong>Nicole Kfoury, Ph.D. (Applications Scientist, GERSTEL, Inc.)</p><p>Dr. Nicole Kfoury is an Applications Scientist at GERSTEL, Inc. in Baltimore, MD. She joined GERSTEL after receiving her Ph.D. in Analytical Chemistry at Tufts University and working as a Research Scientist at the Tufts University Sensory and Science Center. She is responsible for developing methods for sample preparation and gas chromatography-mass spectrometry and creating a Sensory Directed Analysis program at GERSTEL. She teaches customer training, supports pre- and post-sales opportunities, and provides analytical support to customers in a wide array of industries including food, flavor, fragrance, forensic, environmental, and chemical industries.</p></blockquote>

Agilent Technologies: Alcoholic Beverages Virtual Symposium: Spirits

Alcoholic Beverages Virtual Symposium: Spirits

How you can assure safety, authenticity, and quality of alcoholic beverages.

<p><strong>Wiley Surface-to-Spectral Analysis software provides a comprehensive, powerful solution to process, combine, and analyze images and data from multiple microscopic techniques.</strong></p><p>Designed to make your lab more efficient and analyses more thorough, from a single interface you can perform: &nbsp;</p><p>• &nbsp;<strong>Spectral Processing and Analysis&nbsp;</strong><br><strong>• &nbsp;Spectral Map and Image Processing&nbsp;</strong><br><strong>• &nbsp;Correlative Analysis&nbsp;</strong><br><strong>• &nbsp;3D Visualization of 2D Compositional Data</strong></p><p>Wiley Surface-to-Spectral Analysis also integrates with Wiley’s KnowItAll software,* enabling users to search against spectral libraries for further investigation. In this session, we will introduce Wiley Surface-to-Spectral Analysis and demonstrate how to accelerate your surface analysis workflow by processing and analyzing a hyperspectral image. &nbsp;</p><p>This session is recommended for:</p><p>• &nbsp;Materials scientists, life scientists, and chemists who are involved in surface analysis and/or are interested in learning more about Wiley Surface-to-Spectral Analysis capabilities. &nbsp;&nbsp;<br>• &nbsp;Professors and students engaged in chemistry and surface analysis courses or lab work.</p><blockquote><p><strong>Presenter: </strong>Dr. Leanna Ergin (Associate Editor, Wiley Science Solutions)</p><p><strong>Presenter:&nbsp;</strong>Michelle D’Souza (Product Manager, Software Products)</p></blockquote>

Wiley: Introduction to Wiley Surface-to-Spectral Analysis: Go from microscopy to spectral analysis in a single workflow

Introduction to Wiley Surface-to-Spectral Analysis: Go from microscopy to spectral analysis in a single workflow

How to accelerate your surface analysis workflow by processing and analyzing a hyperspectral image.

Introduction to Wiley Surface-to-Spectral Analysis

<p><strong>Ion chromatography (IC) hyphenated with inductively coupled plasma mass spectrometry (ICP-MS) – IC-ICP-MS is the preferred solution for speciation analyses of trace elements such as chromium, arsenic, selenium, or mercury.</strong></p><p>In this webinar we focus on some key features of the integration of Metrohm IC with Agilent’s MassHunter software for ICP-MS. Based on practical examples such as chromium speciation according to ISO 24384, we demonstrate the benefits of bi-directional communication, real-time status updates, and a single, consolidated sample list streamlining your trace elemental analysis with a single-software solution.</p><h4>Key learnings of this webinar:</h4><ul><li><strong>Learn why IC is the method of choice for the separation of ionic components for subsequent quantification with ICP-MS</strong></li><li><strong>Explore the features that make Agilent ICP-MS a superior choice for speciation analysis</strong></li><li><strong>Understand the streamlined workflow for chromium speciation according to ISO 24384 using MassHunter ICP-MS</strong></li><li><strong>Understand the added value of inline sample preparation techniques available with Metrohm IC</strong></li></ul><h4>Who should attend?</h4><ul><li>Laboratory managers, analytical chemists, researchers doing trace elemental analysis</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Elke Süss (Application Specialist Ion Chromatography, Metrohm International Headquarters)</p><p>Elke Süss received a M.Sc. in Geoecology and a Ph.D. in Environmental Geochemistry in 2011 from Bayreuth University, Germany. After a position as laboratory manager at Bayreuth University, she worked as a Research Assistant and then PostDoc at ETH Zürich and Eawag focusing on trace elemental speciation and has more than 10 years of experience with IC-ICP-MS in this field. In 2018, she joined the Ion Chromatography team at Metrohm International Headquarters in Switzerland as an Application Specialist.<br>&nbsp;</p><p><strong>Presenter:&nbsp;</strong>Andrew Brotherhood (Atomic Spectroscopy Application Engineer, Agilent UK)</p><p>Andrew has over 15 years’ hands-on experience with ICP-MS, ICP-OES and Ion chromatography instrumentation. He has mainly worked in the pharmaceutical analysis industry gaining significant experience with developing and validating methods to pharma regulations.</p><p>Andrew started working for Agilent as a full-time employee in January 2018 working as an Atomic Spectroscopy Application Engineer based at the Agilent Centre of Excellence in the UK.</p></blockquote>

Metrohm: Simplify your speciation analysis: Metrohm ion chromatography meets Agilent ICP-MS

Simplify your speciation analysis: Metrohm ion chromatography meets Agilent ICP-MS

Key features of the integration of Metrohm IC with Agilent’s MassHunter software for ICP-MS.

Metrohm ion chromatography meets Agilent ICP-MS

<p><strong>As subcutaneous delivery of high-concentration biologics becomes more popular, optimizing their formulations becomes more complicated. Some</strong><br><strong>excipients play better with one antibody, not another, or only help under specific conditions. Testing formulations at high protein concentration makes lower sample consumption and efficient assays a must-have. High-throughput, low volume solutions, designed for biologics, will speed up those formulation studies. Here, we present a case study on how to prepare monoclonal antibodies at high and low concentrations with some common excipients and screen for effects on quality, stability, and viscosity.</strong></p><p>The case study will illustrate how to produce all this data seamlessly, allowing the researcher to rate and rank formulations for their influence on the analyte and to quickly narrow down the optimal excipients.</p><blockquote><p><strong>Presenter: </strong>Ross Walton (Senior Application Scientist, Analytics, Unchained Labs)</p><p><strong>Moderator:&nbsp;</strong>Chloe (Oxford Global)</p></blockquote>

Unchained Labs: Fast track formulation with biologics screening in a snap

Fast track formulation with biologics screening in a snap

Explore how to optimize high-concentration biologic formulations using low-volume, high-throughput tools. Case study shows impact on quality, stability.

Simplify your speciation analysis: Metrohm ion chromatography meets Agilent ICP-MS

Introduction to Wiley Surface-to-Spectral Analysis: Go from microscopy to spectral analysis in a single workflow

Pharmacopeia – What to Check on UV Vis Spectrophotometers?

Fast track formulation with biologics screening in a snap

Alcoholic Beverages Virtual Symposium: Spirits

Discover the next generation of raw material ID testing for QA/QC

The future of TOC analysis

Comprehensive Quality Control Testing of Biofuels to Ensure a Greener, more Sustainable Future

XRF Unveiled: Mastering the Art of Sample Preparation

Maximize Downstream Control and Efficiency with In-line Concentration Measurement

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