<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

Agilent Technologies

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Milestone

Shimadzu Corporation

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

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

Indentation Optimization - Soft Materials

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

<p><strong>This webinar describes a comprehensive approach to analyzing sugar, confectionary products, and chocolate utilizing bench-top instruments, inline sensors and fully automated sugar analysis platforms, gathering valuable data that can be used for statistical process control and automation.</strong></p><p>The involved technologies are polarimetry, refractive index, density, concentration, oxidation stability, viscosity, texture, tribology, and sample preparation for heavy metal analysis as part of Food Safety programs.</p><div><div><blockquote><p><strong>Presenter: </strong>Helga Gschwind</p><p>Helga Gschwind is a Market Development Manager with Anton Paar USA focused on developing new markets for analytical, process and quality control instrumentation within the food industry. She received her engineering degree in food science from the National University of Lujan, Argentina and has worked for over 20 years in the food and beverage industry in quality, production, and engineering areas.</p></blockquote></div></div>

Anton Paar: How Sweet It Is: Innovations and Automation in Sugar and Chocolate Analysis

How Sweet It Is: Innovations and Automation in Sugar and Chocolate Analysis

This webinar describes a comprehensive approach to analyzing sugar, confectionary products, and chocolate.

Innovations and Automation in Sugar and Chocolate Analysis

<p><strong>From Basic to Advanced of Scratch </strong>is a course with three sessions, in which participants will explore strategies for optimizing test parameters, defining critical loads, and utilizing advanced quantitative techniques such as wedge blade testing and coating recovery. This series is designed to enhance your ability to accurately assess and interpret scratch test data, providing insights that are directly applicable to a wide range of material testing scenarios.</p><h3><strong>January 21, 2025:&nbsp;Fundamentals of Scratch&nbsp;</strong></h3><p style="margin:7.5pt 0in .0001pt;">This webinar provides a thorough introduction to the theory and practice of instrumented scratch testing, a critical method for evaluating the mechanical properties of materials under stress. Key topics include the goals of scratch testing, offering insight into why this technique is essential for understanding material behavior. We will explore the fundamental mechanisms that drive scratch testing, review important testing heuristics that guide experimental setups, and discuss strategies for data interpretation to ensure accurate and meaningful results.</p><p style="line-height:normal;">By the end of this webinar, participants will have a solid foundation in scratch testing techniques and their practical applications in material analysis.</p><div><div><blockquote><p><strong>Presenter: </strong>Mark R Haase</p><p>Mark R Haase is an Advanced Application Scientist at Anton Paar, and has been with the company for six years. They work with many material characterization techniques, including scratch, indentation, tribology, particle sizing, gas sorption, atomic force microscopy, and rheology. Mark supports the use of these techniques in research and industry with training and method development. Prior to joining Anton Paar, Mark's studies included nanocarbon materials and green energy systems.</p></blockquote></div></div>

Anton Paar: Beyond the Surface Module 2 - Scratch Series: From Basic to Advanced Scratch

Fundamentals of Scratch

An introduction to the theory of instrumented scratch testing, a critical method for evaluating the mechanical properties of materials under stress.

Scratch Series: Fundamentals of Scratch

<p><strong>In this webinar, Anton Paar will showcase the significant benefits of using a refractometer for quality control in chemical industry laboratories.&nbsp;</strong></p><p>Designed as a general presentation, this session is ideal for anyone interested in exploring the comprehensive range of solutions Anton Paar offers to the chemical industry market. While a basic understanding of chemical markets and analysis will enhance your experience, all levels are welcome. paar refr</p><p><strong>The webinar will cover the following topics:</strong></p><ul><li>What can a refractometer measure?</li><li>Refractometer vs. titration</li><li>Advantages of using a refractometer</li><li>Multi-parameter measurements</li><li>Application examples</li></ul><blockquote><p><strong>Presenter: </strong>Nicolas Ogez-Paul</p><p>Nicolas Ogez-Paul started his career as a chemist in organic chemistry research and development. After five years with a company specializing in sample preparation, synthesis and purification of organic compounds as Sales Manager for France, Belgium, Luxembourg and Switzerland, Nicolas Ogez-Paul joined Anton Paar Switzerland in 2016. Initially responsible for the sales of density, refractive index, polarimetry, viscosity, flashpoint and oxidation testers, in-line measurement for French-speaking Switzerland and mineralization and synthesis microwaves for the Western part of Switzerland, he progressed internally to his current position as Team Leader of Anton Paar Switzerland's «Measurement» division and Microwave Sales Manager for the whole of Switzerland.<br>&nbsp;</p></blockquote>

Anton Paar: Discover Quality Control with a Refractometer in the Chemical Industry

Discover Quality Control with a Refractometer in the Chemical Industry

In this webinar, Anton Paar will showcase the significant benefits of using a refractometer for quality control in chemical industry laboratories

Discover QC with a Refractometer in the Chemical Industry

<p><strong>The two main worklflows of the LDIR will be discussed and demonstrated.</strong></p><blockquote><p><strong>Presenter: </strong>Louis Tisinger, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)</p><p>Louis (Lou) Tisinger has a Ph.D. in Analytical Chemistry from Miami University in Oxford Ohio, where his graduate research involved the study of ATR imaging and microscope performance in vibrational spectroscopy. Most of his career has been related to pre- and post-sales support of FTIR spectrometers, microscopes, imaging systems, and thermal analytical instruments, focusing on analyzing customer samples, demonstrations, post-sales training, troubleshooting, and R&amp;D.</p></blockquote>

Agilent Technologies: Spectroscopy Digital Workshops and Bootcamps

Agilent 8700 LDIR Workflows

The two main worklflows of the LDIR will be discussed and demonstrated.

<p><strong>Canned food is a growing industry around the world. Its sustainable properties and long shelf life offers convenience for busy consumers, strengthening its position as a popular packaging format for both manufacturers and customers. However, as metal cans come in different shapes and sizes, they can present challenges to product inspection technology.</strong></p><p>Whether it's soup, beans, canned vegetables, baby formula, or potato chip tubes, it's important that your canned products reach the end customer free from contaminants and of a high quality; that's where x-ray inspection comes in.</p><p>Join our webinar to discover the wide range of benefits that x-ray inspection offers canned applications - including advanced detection capabilities and integrity and completeness checks. With x-ray inspection technology from METTLER TOLEDO, you can overcome the typical inspection challenges that come with canning applications.</p><p>We don't expect you to just take our word for it - we'll be showcasing our x-ray inspection solutions for canned goods in an exciting and informative live online demonstration. You'll experience how our systems perform in real-time and see for yourself how they can improve your production processes.</p><p><strong>Target audience</strong></p><p>Food Safety Managers, Production or Manufacturing Managers, IT Specialists, Global Food Retailers, Quality Control Specialists, Food Safety Specialists, Production &amp; Packaging, Operation Managers, CEOs, Change Management Agents, Quality Assurance Managers, Quality Assurance Operators.</p><p><strong>Program:</strong></p><ul><li>Learn the different types of canning applications and how x-ray inspection can overcome potential canning inspection challenges</li><li>See how x-ray inspection can improve the quality and integrity of your canned products with capabilities beyond just contamination detection</li><li>Experience a demo of our x-ray inspection system for canned goods and see first-hand how x-ray can benefit your production line</li></ul><p><strong>1/22/2025 9:00, CET</strong><br><strong>1/22/2025 15:00, CET</strong></p><blockquote><p><strong>Presenter: </strong>Adam Green (XR ePlatform Owner &amp; Market Manager)</p><p>Since 2015, Adam has worked in various commercial and technical roles at METTLER TOLEDO. During that time, he facilitated the development of an online demonstration platform to provide technical support to customers due to the global change of working behaviors. He has worked with local markets to help the development of the sales teams that promote X-ray technology and its benefits to customers.</p></blockquote>

Mettler Toledo: Advanced Inspection of Canned Goods with X-ray Inspection

Advanced Inspection of Canned Goods with X-ray Inspection 

Join our webinar to discover the wide range of benefits that x-ray inspection offers canned applications

<p><strong>Companies and universities around the world are making all-out efforts to improve the performance of lithium-ion batteries, reduce costs, and develop efficient recycling processes. Meeting these challenges will require an array of instrumentation for analyzing everything from raw materials to individual components of each battery, such as positive and negative electrodes, electrolyte solutions, and black mass for recycling. Because each of these matrices presents unique analytical challenges, specific methodologies are needed to aid R&amp;D, manufacturing, and quality control processes.</strong></p><p>Join this webinar to learn innovative techniques for overcoming unique matric-specific challenges for analyzing black mass, electrolyte solutions, anode materials, and cathode materials by ICP-AES, TOC, and X-ray fluorescence.</p><p><strong>Who should attend:</strong></p><ul><li>Research scientists developing innovative LiB materials and recycling processes</li><li>Engineering professionals working to develop, extract, refine, produce, and process LiB materials</li><li>Mining, production, and recycling operations seeking to expand analytical testing capabilities of LiB materials and black mass</li><li>Quality control analysts working to improve production processes</li><li>Battery industry consultants assisting clients to secure innovative instrumental characterization techniques</li></ul><p><strong>Attend this webinar and discover innovations in:</strong></p><ul><li>Simplified quantitative analysis of black mass for LiB recycling using ICP-AES and EDXRF</li><li>Organic carbon analysis of lithium brines and electrode raw materials</li><li>Matrix-specific challenges for ICP-AES analysis of LiB anode, cathode, and electrolyte solution materials, as well as black mass for recycling</li><li>Fast, simple qualitative analysis of LiB black mass and electrolyte solutions using EDXRF</li></ul><blockquote><p><strong>Presenter: </strong>Jon Peters (Moderator) (Senior Market Manager, Chemical and Energy, Shimadzu Scientific Instruments)</p><p>Jon Peters is Chemical and Energy Market Manager with Shimadzu Scientific Instruments. He applies his experience with spectroscopy, chromatography, software, consumables, and sample introduction instrumentation to create innovative marketing initiatives.</p><p><strong>Presenter: </strong>Dr. Haihan Chen (Product Manager, Elemental Spectroscopy, Shimadzu Scientific Instruments)</p><p>Haihan Chen is Elemental Spectroscopy Product Manager with Shimadzu Scientific Instruments. She holds a PhD in Chemical Engineering, has published more than 20 peer-reviewed papers, and has more than 15 years of experience with analytical instrumentation including ICP-AES, ICP-MS, AA, TOC, and X-ray fluorescence.</p><p><strong>Presenter: </strong>Dr. Joel Langford (Product Coordinator, Elemental Spectroscopy, Shimadzu Scientific Instruments)</p><p>Dr. Joel Langford is Product Coordinator for Elemental Spectroscopy with Shimadzu Scientific Instruments. Joel holds a Ph.D. in Chemistry from UC Irvine, having studied condensed materials with X-ray technologies including a Synchrotron, EPMA, WDXRF, EDXRF, and XRD. Since joining Shimadzu in 2018, Joel has specialized in developing innovative X-ray applications.</p><p><strong>Presenter: </strong>Keith Long (Tech Support Lead, Elemental Spectroscopy, Shimadzu Scientific Instruments)</p><p>Keith Long earned his BSc in Chemistry from Northern Kentucky University and has over 20 years of experience in analytical testing and technologies. He joined the Elemental Spectroscopy group with Shimadzu in 2010, and has become a leading expert in the U.S. for TOC analysis, led by Shimadzu’s flagship TOC-L.</p></blockquote>

Shimadzu Corporation: Elemental Analysis: Energize the Future with Advanced Battery Testing Solutions

Elemental Analysis: Energize the Future with Advanced Battery Testing Solutions

Innovative techniques for overcoming unique matric-specific challenges for analyzing black mass, electrolyte solutions, anode materials, and cathode materials.

Energize the Future with Advanced Battery Testing Solutions

<p><strong>This live panel discussion brings together experts from IDA and Agilent to explore market trends, quality assessment, and challenges in dairy testing. Key topics include detecting contaminants, ensuring regulatory compliance, and maintaining product quality.</strong></p><p><strong>The panel will discuss advanced technologies for testing adulteration, pesticides, and heavy metals, and share tips on improving workflows and aligning with regulations. Attendees will also have the opportunity for live interaction with the panelists.</strong></p><blockquote><p><strong>Presenter: </strong>Prof. (Dr) J. B. Prajapati (Chairman, Indian Dairy Association (West Zone))</p><p>Professor (Dr.) Jashbhai B. Prajapati is a veteran Dairy Professional with 45 years of experience in research, teaching and professional manpower development. He is a technology graduate from Anand and Ph.D from NDRI and retired as Dean of the Faculty of Dairy Science, AAU, Anand. He worked as the Chairman of Verghese Kurien Centre of Excellence at IRMA and now the Chairman of IDA (West Zone). He is Vice President of National Academy of Dairy Science (India) apart from being member in several professional bodies. He is associated with FSSAI, NADSI, NDDB, IDF, Gut microbiota Foundation, SASNET and many other organizations. His core area of research is probiotics and functional dairy foods and he is the first Indian scientist to have deposited and whole genome sequenced two Indian probiotic cultures at IMTech, Chandigarh as the Indian Patent deposits. He is a well-travelled scholar with more than 500 publications.</p><p><strong>Presenter:&nbsp;</strong>Dr. Satish Kulkarni (Chairman, Indian Dairy Association (South Zone))</p><p>Dr. Satish Kulkarni earned both his Dairy Diploma and Doctoral degree in Dairy Technology from the National Dairy Research Institute (NDRI), Karnal/Bangalore. He conducted post-doctoral research in Germany for three years. As a scientist, he has guided numerous students at the master’s and doctoral levels.</p><p>Dr. Kulkarni has been honoured four times by the ICAR for team research and received the Best Teacher Award in 2008. He served as the Head of NDRI, Bangalore, from 2008 to 2015. Currently, he is a practicing advocate specializing in food law and works as a food regulatory consultant. He is the founder-partner of Dairy Skills &amp; Food Quality Academy and Legalwrax Business Solutions, Bangalore. Dr. Kulkarni has also served as the President of AFSTI, Mysore, Vice President of IDA, New Delhi, and is currently the Chairman of IDA (South Zone).</p><p><strong>Presenter:&nbsp;</strong>Dr. Rajesh Nair (Dy. Managing Director, NDDB - CALF Ltd.)</p><p>Dr. Rajesh Nair is currently working as Dy. Managing Director at NDDB CALF LTD, Anand, a wholly subsidiary National Dairy Development Board. He has professional experience spanning 30 years in the field of Testing &amp; Inspection of Food &amp; Agricultural products. He has held key leadership positions in several Government, Private and Multinational Companies. He has done his Bachelors, Masters, &amp; Ph.D. in Chemistry.</p><p>He is a member of the Scientific Panel of Method of Sampling and Analysis of FSSAI, a member of a few technical committees of the Bureau of Indian Standards (BIS), standing committee member of Analytical Methods on Additives and Contaminants of IDF. He is also working closely with NABL in different disciplines. He has several publications on Analytical methods and validations of food &amp; Agricultural products and genetic materials in leading scientific journals.</p><p><strong>Presenter:&nbsp;</strong>Mr. Vivek Dhyani (Country Application Solutions Manager, Agilent Technologies India Pvt. Ltd.)</p><p>Mr. Vivek Dhyani is the Application Head and COE Manager at Agilent India. He is responsible for complete demo and Application Engineers’ (AE) management, as well as key workflow development. Prior to this, he served as the Product Manager for GC/GCMS at Agilent India and as a Product Specialist at Agilent Singapore, where he was responsible for technical support for GCMS across Singapore, Indonesia, and South Asia. He has over 20 years of experience in the fields of mass spectrometry and chromatography. Before his current role, he worked at Agilent India as a Product Specialist and Application Engineer for GC/GCMS. Additionally, he was associated with PerkinElmer for more than five years as an Application Specialist for Chromatography and LIMS, providing support to India, neighbouring countries, and the Middle East. Vivek is regularly invited to deliver seminars and training sessions on chromatography by government institutions and private companies.</p><p><strong>Presenter:&nbsp;</strong>Dr. Chandrasekar Kandaswamy (Business Manager, GC/MS, Agilent Technologies India Pvt. Ltd.)</p><p>Dr. Chandra completed his Ph.D. in Chemistry at NIT Trichy. With over 22 years of experience in analytical method development across the food safety, pharmaceutical, and fertilizer industries, he currently serves as a Product Manager for the GC and GCMS portfolio at Agilent. Chandra has extensive expertise in method development and validation. Before joining Agilent in 2009, he worked in various roles within the fertilizer, food, and pharmaceutical sectors. He is passionate about sharing his knowledge and has published six analytical findings in reputed journals. He enjoys engaging with the scientific community and has delivered numerous national and international oral and poster presentations. Outside of work, Chandra loves practicing yoga and spending time with his family.</p><p>The Ph.D. in chemistry from the National Institute of Technology, Tiruchirappalli, is a dedication to education and research. Moreover, his active engagement with the scientific community through numerous national and international presentations, in both oral and poster formats towards commitment to sharing knowledge and fostering dialogue within the field with 10 different journal publications.</p></blockquote>

Agilent Technologies: Panel discussion on improving dairy safety and quality frameworks

Panel discussion on improving dairy safety and quality frameworks

The panel will discuss advanced technologies for testing adulteration, pesticides, and heavy metals, and share tips on improving workflows.

Improving dairy safety and quality frameworks

<p><strong>Testing stability of your proteins and formulations can feel like being buried alive when screening boat loads of candidates and conditions. Most classic tools are either inflexible, one-hit wonders that don’t give the full stability picture or seriously low-throughput, creating major bottlenecks that eat up valuable time you need for everything else you’ve got to get done, like yesterday.</strong></p><p>Aunty is the fastest and highest throughput protein stability characterization tool on the planet. Load up to 96 of your samples into its plate and Aunty will power through piles of thermal melting and aggregation experiments at unmatched speeds - reading fluorescence, SLS and DLS of the whole plate every minute of a thermal ramp. Screen gobs of candidates and conditions with as many replicates as you want. Aunty busts out plates of results with unprecedented speed and data resolution.</p><p>Join this webinar to see how to set up and run an Aunty experiment. Get a walk-through of Aunty’s data analysis of &nbsp;Tm &amp; Tagg and colloidal stability experiments and get a peek at the highest resolution stability data you’ve ever seen.</p><blockquote><p><strong>Presenter: </strong>Andre Mueller, PhD (Marketing Manager, Biologic Solutions, Unchained Labs)</p><p>Andre Mueller, PhD, is the Product Manager for Aunty and Honeybun at Unchained Labs, where he supports the development of biologic and gene therapy drugs. He specializes in fluorescence, static and dynamic light scattering, focusing on biophysical characterization of proteins and viral vectors. His research background spans from structural biology to plant physiology, with experience in labs across Germany, Sweden, Denmark, and the USA. Andre earned his PhD at the Carlsberg Laboratory and completed a postdoctoral fellowship at Stanford University.</p><p><strong>Moderator: </strong>Ross Walton, PhD (Sr. Applications Scientist, Unchained Labs)</p></blockquote>

Unchained Labs: Meet Aunty, the Queen of high-throughput protein stability characterization

Meet Aunty, the Queen of high-throughput protein stability characterization

Join this webinar to see how to set up and run an Aunty experiment.

Aunty - high-throughput protein stability characterization

<div><p><strong>When analyzing organic pollutants from environmental matrices, most environmental labs aim to improve the efficiency of their workflow with easy-to-implement solutions that ensures better turnaround time and productivity. Sample preparation is the process that mostly impact these factors, as it involves several manual steps from the solvent addition to the extraction and the clean-up steps.&nbsp;</strong></p><p>The whole sample preparation relies on outdate and manual approach and even the most modern technologies still suffer in terms of productivity and often have high running costs. Therefore, the <strong>optimization of these processes</strong> is essential to provide a better workflow, saving operator time whilst ensuring reliable data and high safety of operation.</p></div><h5><strong>💡 Register for our live virtual webinar and you will learn:</strong></h5><ul><li>An integrated <strong>workflow approach to gain lab efficiency</strong> while reducing cost of analysis.</li><li>Automate <strong>solvent handling and addition</strong> to minimize operator exposure to solvents and save operator time.</li><li>Discover how <strong>microwave-assisted-extraction</strong> (MAE), overcome the common limitations, both in terms of performance and throughput, of <strong>Soxhlet, sonication and pressurized liquid extraction techniques</strong>.</li><li>Improve the <strong>filtration step</strong> with an easy to adopt procedure that expedite this step, whilst saving valuable space in the fume hood.</li></ul><blockquote><p><strong>Presenter:</strong> Matteo Volpi (Application Specialist at Milestone)</p></blockquote>

Milestone: How to improve sample prep workflow for organic pollutant analysis

How to improve sample prep workflow for organic pollutant analysis

Improve sample preparation for organic pollutant analysis using automation and microwave-assisted extraction to increase efficiency and safety.