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

Webinars LabRulezICPMS Week 07/2026

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

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

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

Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

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

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This webinar aims to demonstrate how UV-visible spectroscopy can be used as a powerful tool to understand solid catalysts, specifically the class of supported oxide catalysts.&nbsp;Supported oxides consist of an active oxide phase supported on a carrier particle, often of alumina or silica.These catalysts are used extensively in the chemical industry and in pollution abatement. These materials also have electronic spectra (e.g. from UV-visible spectroscopy) that are very sensitive to the local structure, oxidation state, and chemical environment of the catalytic oxide component. UV-visible spectroscopy does not require crystalline material, and research-grade spectrophotometers are more than sufficiently sensitive to detect very low loadings of oxides on the carrier particles or to observe small changes to the structure. Using a praying mantis accessory, we provide some examples of how the UV-visible spectra of iron, copper, zirconium, titanium, manganese, and other oxides are key to understanding their catalytic activity. In some cases, we can also utilize an in situ reactor to understand how the structure of the active oxide changes at high temperatures and with reactive gases.<h4>Key Learning Objectives:</h4><ul><li>Guidelines for UV-Vis-NIR spectrophotometric diffuse reflectance measurement.</li><li>Considerations when doing in situ UV-visible diffuse reflectance spectroscopy.</li><li>Properties of catalytic materials used in the sustainable production of chemicals and fuels and pollution abatement.</li><li>Utilizing spectroscopy in conjunction with simulation, kinetics, and other characterization tools for the development of improved structure-function relationships.</li></ul><h4>Who Should Attend:</h4><ul><li>Under/Post Graduate Researchers/Students</li><li>Laboratory Managers</li><li>Scientist/Staff Scientists</li><li>Lab Technician/Technologist</li><li>Analysts</li><li>Commercial or academic organizations in the field of catalytic materials, including metal-organic frameworks (MOFs) and oxides, or the field of chemical transformations, including selective oxidations, dehydrogenation, NOx abatement, biomass conversion, and others</li></ul><blockquote>Presenter: Justin M. Notestein (Professor and Chair, Department of Chemical and Biological, Engineering, Northwestern University Director, Center for Catalysis and Surface Science)Presenter:&nbsp;Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)</blockquote>

C&EN: Interrogating Solid Catalysts Using (In Situ) Diffuse Reflectance UV-Visible Spectroscopy

Interrogating Solid Catalysts Using (In Situ) Diffuse Reflectance UV-Visible Spectroscopy

How UV-visible spectroscopy can be used as a powerful tool to understand solid catalysts, specifically the class of supported oxide catalysts.

Interrogating Solid Catalysts Using Diffuse Reflectance

Hydrogen is the fuel of the future. Many research projects are underway globally to identify the best materials to store and transport hydrogen safely.This webinar will present vacuum-volumetric technology and methods for measuring hydrogen adsorption for storage applications. Sources of often-overlooked errors will be highlighted and solutions described. Adsorption at cryogenic and ambient temperature, and hydride formation/decomposition will be discussed.<blockquote>Presenter: Dr. Robin Isyas</blockquote>

Anton Paar: Hydrogen storage - next generation fuel

Hydrogen storage - next generation fuel

Vacuum-volumetric technology and methods for measuring hydrogen adsorption for storage applications.

<h4>Beyond the Surface Module 1 - Indentation Series</h4>From Basic to Advanced Indentation Testing 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.<h5>This webinar:</h5>November 19, 2024:&nbsp;Fundamentals of IndentationThis 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.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.<h5 style="margin-left:0in;">Other webinars in this series:</h5>December 3, 2024: Advanced Indentation - Cyclic ModesIn 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.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.December 17, 2024: Indentation Optimization - RoughnessIn 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.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.January 7, 2025: Indentation Optimization - Soft MaterialsThis 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.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.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.<blockquote>Presenter: Mark R HaaseMark 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.</blockquote>

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

Fundamentals of Indentation

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

Indentation Series: Fundamentals of Indentation

Do we already know everything there is to know about PFAS testing?This class of compounds continue to be headlines in the news and social media, but the question above should be a constant rhetorical question! Is there more to be discovered?Yes! Especially when the entire PFAS lifecycle is considered. Want to know more? Join us for part III of the SCIEX PFAS summit: a scientific seriesJoin this event and learn more about:&nbsp;<ul><li>The PFAS lifecycle: prepare for the future as testing repertoires expand beyond drinking water</li><li>How internal scientists at SCIEX can help and ensure the success of your lab with the latest developed methods, tips and tricks</li><li>What our industry partners are working on, how they tackle their challenges, and develop customer solutions to meet their needs</li></ul> Day 1 agendaWhere else can you access expert scientists and application specialists for free sessions on PFAS testing? Everything from detailed explanations of the PFAS lifecycle relevance, regional perspectives, applications beyond drinking water, our SCIEX scientists are here to present their findings, as well as answer any questions you may have in a roundtable discussion. So join us and ask away!The PFAS lifecycle: how it relates to our everyday life<ul><li>Why are there 9 components?</li><li>How do I prepare to test for matrices that are not drinking water?</li><li>Are there any other areas of testing I should be aware of?</li></ul><blockquote>Karl Oetjen, Market Development Manager, Food and Environmental, SCIEX</blockquote>Consistency with PFAS testing in complex food matrices: fact or fiction?<ul><li>Learn how you can maintain single-digit CV for PFAS testing in food matrices in over 7000 injections</li><li>How to optimize sample prep according to your testing method</li><li>Hear about how the 7500+ can future proof your lab for technical challenges for different components of the lifecycle</li></ul><blockquote>Craig Butt, Senior Manager, Scientific Marketing, Applied Markets, SCIEX</blockquote>From PhD student to industry scientists: my PFAS journey<ul><li>What was his latest findings on novel functional groups within PFAS?</li><li>Career paths: how PFAS testing led him on his current journey</li><li>What is the next hot topic to research within the PFAS lifecycle?</li></ul><blockquote>Andrew Folkerson, Associate Application Scientist, SCIEX</blockquote>What can SCIEX OS software do for you and your PFAS data?<ul><li>How decision trees can aid in the direction of choice for EPA PFAS methods</li><li>Customer columns: what are they and why are they useful?</li><li>Find out how various features within SCIEX OS can help in data analysis from other lifecycle components</li></ul><blockquote>April Quinn-Paquet, Global Marketing Product Manager, Software, SCIEX</blockquote>European regulations and guidelines – latest developments<ul><li>Learn about the EU’s approach to testing expansions in comparison to the EPA</li><li>Are there connections to the EU-wide ban of PFAS announced last year?</li><li>Learn how the PFAS lifecycle is engrained into the approaches for testing in different European countries</li></ul><blockquote>Jianru Stahl-Zeng, Senior Technical Marketing Manager, SCIEX</blockquote>Identifying the false positives caused by sporadic PFAS contamination during routine analysis<ul><li>How to approach PFAS analysis if one to start from scratch</li><li>Be aware: Sporadic PFAS Contamination can and should be avoided</li><li>Why the need to identify false positives?</li></ul><blockquote>Larry Zintek, Organic Methods Group Leader, US EPA</blockquote>PFAS and human exposure: an Australian perspective<ul><li>How testing regimes from the Australian and New Zealand region differ from other parts of the globe</li><li>What is the next big component of the PFAS lifecycle for the Australian focus?</li></ul><blockquote>Pradeep Dewapriya, Research Fellow, The University of Queensland</blockquote>Day 2 agendaWe have invited a long list of distinguished industry leaders to speak on their area of expertise, and how their work also fits into one or two of the components within the PFAS lifecycle. You do not want to miss what these experts discuss their work and how they are preparing for life beyond testing for drinking water!PFAS in the indoor environment<ul><li>Going beyond cosmetics, how are we exposed to PFAS while indoors</li><li>What are the different ways we can test for indoor PFAS exposure?</li></ul><blockquote>Amy Rand, Assistant Professor, Carleton University</blockquote>Addressing PFAS measurement challenges through NIST reference materials and data<ul><li>NIST’s role as the United States’ National Metrology Institute (NMI) enables the organization to provide high quality measurements, materials, and data to support chemical measurement challenges, including those related to per- and polyfluoroalkyl substances (PFAS)</li><li>The process of development and the intended use of NIST reference materials to ensure quality of targeted PFAS measurements will be described</li><li>Recent work by NIST has developed high quality data and databases to support the non-targeted analysis for PFAS using high resolution mass spectrometry</li></ul><blockquote>Ben Place, Research Chemist, National Institute of Standards and Technology (NIST)</blockquote>PFAS method comparisons: from the US FDA's perspective<ul><li>How collaborations between the FDA and food manufacturers such as Nestle is beneficial to the wider scientific community</li><li>How levels of instrumentation can differentiate between matrices within the lifecycle</li></ul><blockquote>Susie Genualdi, Research Chemist, Food and Drug Administration</blockquote>Improving non-target screening of PFAS through identification of new unknowns and new functional groups using NMR<ul><li>Learn how non-targeted approaches can help in novel PFAS identification</li><li>Tackling different components of the PFAS lifecycle matrices through new technologies</li></ul><blockquote>Jeremy Gauthier, Postdoctoral fellow, University of Toronto</blockquote>Phenomenex + SCIEX: A combined solution for PFAS testing<ul><li>Unleashing the powerful partnership of Phenomenex and SCIEX for PFAS testing needs</li><li>Adaptable consumable solutions for all facets of testing within the PFAS lifecycle</li><li>Why Phenomenex? &nbsp;You’ll find out.</li></ul><blockquote>Richard Jack, Global Market Development Manager, Food and Environmental, PhenomenexSam Lodge, Senior Business Development Manager, PhenomenexHolly Lee, Food LCMS Scientist, SCIEXSimon Robert, Staff Application Scientist, SCIEX</blockquote>Exposed to polar PFAS in drinking water: how dried blood spot analysis can help in analysis and impact on human exposure<ul><li>Take a look at the research approach to how PFAS exposure through drinking water can impact your daily life</li><li>Are dried blook spots the next ideal matrix to test for PFAS?</li></ul><blockquote>Christian Lindh, Associate Professor and Senior University Lecturer, Lund University</blockquote>Early life PFAS exposure in Ronneby, Sweden: historical results from PFAS exposure since 1985 via blood spot analysis<ul><li>Take a trip through the history of PFAS exposure from 40 years ago</li><li>What are the lessons learned from contacting PFAS from an early age?</li></ul><blockquote>Annelise Blomberg, Postdoctoral Researcher, Lund University</blockquote>

SCIEX: PFAS summit: a scientific series -Part III: a day in the life of the PFAS lifecycle

PFAS summit: a scientific series - Part III: a day in the life of the PFAS lifecycle

This class of compounds continue to be headlines in the news and social media, but is there more to be discovered?

PFAS summit: a day in the life of the PFAS lifecycle

This online seminar is aimed at academic and industrial researches in heterogeneous catalysis and catalytic reaction engineering. It showcases a new development in operando catalysis research named Iso-Potential Operando DRIFTS. This new method allows for the first time to measure adsorbate profiles in otherwise inaccessible catalytic reactors using Infrared Spectroscopy. Apart from presentation of the necessary hardware, the seminar covers data analysis and data interpretation for selected catalytic reaction examples.<blockquote>Presenter: Prof. Dr. rer. nat. Raimund Horn (Institute of Chemical Reaction Engineering, Hamburg University of Technology)</blockquote>

Bruker: Measuring Adsorbate Profiles in Heterogeneous Catalytic Reactors by Iso-Potential Operando DRIFTS

Measuring Adsorbate Profiles in Heterogeneous Catalytic Reactors by Iso-Potential Operando DRIFTS

This online seminar is aimed at academic and industrial researches in heterogeneous catalysis and catalytic reaction engineering.

Adsorbate Profiles by Iso-Potential Operando DRIFTS

Did you know pipetting errors can quickly amplify across a normal workflow? And as protocols become more complex, there is an increased risk for experimental errors. Experimental error can propagate from many different sources:&nbsp;<ul><li>Incorrect calculations during experimental planning</li><li>Unstable or incorrect sample or reagent preparation</li><li>Incorrect instrument use or pipetting technique</li></ul>Join our live webinar to learn strategies for reducing pipetting errors to help you produce consistent and reliable results.Webinar agenda:<ul><li>Pipetting error propagation</li><li>Good science is control</li><li>Quick checking a pipette</li><li>Pipette performance verification</li><li>Pipette management software</li></ul>

Mettler-Toledo: Strategies for Reducing Pipetting Errors 

Strategies for Reducing Pipetting Errors

Join our live webinar to learn strategies for reducing pipetting errors to help you produce consistent and reliable results.

Strategies for Reducing Pipetting Errors 

In this 4-part session you will gain insights and understanding of what you can do in the battery industry with varied technologies. From investigating solutes and electrodes, following battery cell behavior, and in situ research on energy storage materials the Bruker Scientists are sharing a wealth of knowledge for your research.Session 1: 11:00 a.m.<h5>Powering the Future: Analytical Methods in Battery Research</h5>Chemical understanding of batteries is essential for enhancing their performance, longevity, and safety. This session will highlight the role that analytical techniques play in battery research and development. By offering deep insights into the chemical, structural, and electrochemical properties of energy storage materials, these methods enable researchers to drive innovation and solve complex challenges. We'll provide an overview of key analytical approaches, including spectroscopy, solid-state NMR, and X-ray diffraction, and discuss their applications in advancing battery technology.Session 2: 11:25 a.m.<h5>Spectroelectrochemical Setup for Probing Reactions on Electrodes and in Electrolytes</h5>Electrochemistry combined with vibrational spectroscopy provides powerful insights into electrochemical reactions and battery research through unique infrared and Raman signatures. The session will cover accessories, setup optimization, and applications like electro-oxidation of metal-organic complexes and lithium battery interface mapping.Session 3: 11:50 a.m.<h5>Advancements and Challenges of Solid-State NMR Technology for Battery Research</h5>Solid-State Nuclear magnetic resonance (NMR) is a characterization technique applied to investigate the structural changes of/in battery materials. Advanced NMR approaches can be used to track and examine ion-exchange/diffusion across interfaces, electrolyte decomposition, dendrite formation, storage behavior of an electrode etc. during or following charging/discharging in order to understand electrochemical processes and improve battery properties.Session 4: 12:15 p.m.<h5>Charge and Structure: Understanding Batteries Through X-Ray Diffraction</h5>X-ray diffraction (XRD) serves as a powerful tool for elucidating the structural properties of battery materials at the atomic scale. Modern XRD techniques can be used to understand the effects of cycling and synthesis methods on electrode stability and efficiency, ultimately guiding the development of next-generation energy storage solutions.Key Learning Objectives:<ul><li>Gain an overview of current trends in battery technology.</li><li>Understand the key components of battery chemistry and design.</li><li>Learn about future trends in battery development and energy storage.</li></ul>Who Should Attend:<ul><li>Laboratory managers</li><li>Batteries developers</li><li>Electrochemical researchers</li></ul><blockquote>Presenter: Federico Paruzzo, PhD (Academic Market Project Manager, Bruker BBIO)Presenter: Sergey Shilov, PhD (NA Product Manager, Science, Bruker Optics)Presenter: Edina Sic (Solutions Product Manager, Academic Battery Research, Bruker BioSpin Group)Presenter: Nick Rodesney (XRD Applications Scientist, Bruker)Presenter: Ann Thayer (Contributing Editor, C&amp;EN Media Group)</blockquote>

The Science of Batteries

In this 4-part session you will gain insights and understanding of what you can do in the battery industry with varied technologies.

Advanced manufacturing technologies (AMTs) can speed drug development, improve quality and minimize drug shortages. Consequently, the FDA encourages early adoption of these technologies.This webinar will explore how digital transformation enhances the efficiency, accuracy, and reliability of process analytical technology (PAT) and quality control systems. We will present the principles and applications of PAT highlighting the importance of real-time monitoring and high-fidelity control of production processes. Attendees will gain insights into the latest digital tools in quality assurance and process control, ensuring compliance with regulatory standards and improving overall product quality. They will learn how PAT and associated technologies improve knowledge transfer and propagate accessibility from R&amp;D to full-scale production. Join us to discover how these advances are shaping the future of late development and advanced manufacturing and learn practical strategies for implementing these technologies in your operations.Session 1: 11:00 a.m. Enabling Digitalization from R&amp;D to Manufacturing - AI Ready Data through Ingestion &amp; Standardization &nbsp;Session 2: 11:25 a.m. How vibrational spectroscopy helps to accelerate new drug development and troubleshoot drug productionSession 3: 11:50 a.m. The Benefits of Raman Spectroscopy for the Understanding and Control of Pharmaceutical ProcessesSession 4: 12:15 p.m. Advancing Continuous Process Monitoring and Optimization with Benchtop NMR in PATKey Learning Objectives:<ul><li>Become familiar with available PAT spectroscopic tools such as NMR, NIR, mid-IR and Raman as well as their key applications that can enhance process control and quality control goals.</li><li>How to deploy spectroscopic and digital tools in a way that will advance PAT objectives.</li><li>Gain awareness about the way that many companies have already made use of PAT strategies that have proven to be beneficial.</li></ul>Who Should Attend:<ul><li>Laboratory managers</li><li>Chromatographers</li><li>New product developers</li></ul><blockquote>Presenter: Sergey Shilov, PhD (NA Product Manager, Science, Bruker Optics)Presenter: Anna Codina PhD (Director, Pharmaceutical Business, Bruker BioSpin)Presenter: Mark Kemper (Associate Director, Business Development, Tornado Spectral Systems)Presenter: Matteo Pennestri, PhD (Product Manager, PAT &amp; Automation, Bruker Pharma)Presenter: Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)</blockquote>&nbsp;

C&EN: The Latest on Digitalization, Process Analytical Technology and Quality Control

The Latest on Digitalization, Process Analytical Technology and Quality Control

Explore how digital transformation enhances the efficiency, accuracy, and reliability of process analytical technology (PAT) and quality control systems.

Digitalization, PAT and QC

Thermomechanical analysis (TMA) is used to measure the dimensional changes, or deformation, of a sample as it is heated or cooled and subjected to a defined stress or load. It determines expansion, shrinking, and softening behavior on materials such as films, laminates, solids, and fibers. The technique is also very useful for measuring relaxation effects that are often not detected by DSC.The TMA TechniqueIn a typical TMA experiment, the sample is placed on the sample support and a constant load is applied via a measuring probe. The probe remains in contact with the sample and moves up or down as the sample expands or contracts with a change in temperature. The displacement of the probe is measured by means of a sensor. The sample set-up and applied load vary depending on the measurement mode and the information required.Thermal expansion or shrinkage, as well as the deformation or stiffness of the material, can be determined based on the set-up and measured displacement. Typical properties of interest determined by TMA are the glass transition, coefficient of thermal expansion (CTE), and Young’s modulus.TMA is a versatile technique that can be used to study a wide range of materials, including polymers, composites, ceramics, metals, and biomaterials. It is commonly used in material research, quality control, and failure analysis applications.Join our live webinar to learn all about TMA and don’t miss the opportunity to ask our experts your questions!Event Program<ul><li>Basic principles of TMA</li><li>Important instrument components</li><li>Measurement modes (dilatometry, penetration, tension, swelling, dynamic load, bending)</li><li>Why you should use TMA for your analysis</li><li>Application examples for different industries</li></ul><blockquote>Presenter: Nicolas FedelichWith a background in chemical engineering, Nicolas joined METTLER TOLEDO in 2009 as an application specialist for Thermal Analysis. Before that, he gained expertise in different laboratories implementing, developing, and validating analytical methods in both the pharmaceutical and environmental fields. Nicolas also worked for three years in the field carrying out on-site customer training and providing expert thermal analysis application support. In his present position, Nicolas expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</blockquote>

Learn Basic Principles, Measurement Modes, and Useful Applications for Your Workplace

Thermomechanical Analysis (TMA)

Consumer products are complex mixtures that rely on careful formulations and precision chemistry to deliver the desired properties. These properties can be chemical (such as the peroxide content of an oxidizer), physical (such as polymer viscosity) or fungible (such as the reserve acidity of a mixture). Measuring these and other types of properties typically requires a fleet of instrumentation and is often limited to raw material input and final product testing. These testing throughput limits place a high burden on the analytical lab, making product improvement difficult. &nbsp;Near-infrared spectroscopy (NIR) is a laboratory tool that can relieve the throughput limitation and be deployed to multiple products and problems at the same time.&nbsp;Register for this webinar to hear Alex Mattingly, Product Specialist at Chemlink Laboratories, explain how he uses NIR to address manufacturing challenges and increase production efficiency. He will show how he implemented NIR and developed the analytical methods to replace complex wet-chemical assays. Lenzi Williams, Spectroscopy Product Specialist, will give an overview of NIR spectroscopy, including&nbsp;features of the new OMNIS NIR, and explain how the fundamentals of this technique make it well-suited for formulated products.Join these experts after the presentation and get your specific questions answered during the live Q&amp;A.<blockquote>Presenter: Alex Mattingly (Product Specialist, Chemlink)</blockquote><div><blockquote>Alex Mattingly is a Product Specialist at Chemlink and a graduate of Kennesaw State University’s chemistry program. Since joining the team at Chemlink, he has focused on developing spectrometric techniques for determining a variety of chemical characteristics in raw materials and finished goods. His quantitative models for peroxide analysis, using near-infrared spectroscopy have enabled a new level of productivity and efficiency in the lab.Presenter:&nbsp;Lenzi Williams (Spectroscopy Product Specialist, Metrohm USA)</blockquote><div><blockquote>Lenzi Williams is the Spectroscopy Product Specialist at Metrohm USA in Riverview, Florida. She received her Ph.D. in Physical Chemistry from Florida State University in Tallahassee, FL where her thesis focused on quantifying excited state dynamics of unique nanomaterials using ultrafast pump-probe spectroscopy and Raman spectroscopy. Lenzi joined Metrohm USA in February 2024, focusing on Raman and NIR Spectroscopy.</blockquote></div></div>

Metrohm: Slashing Inefficiencies in Consumer Product Manufacturing with NIR Spectroscopy

Thermomechanical Analysis (TMA)

The Latest on Digitalization, Process Analytical Technology and Quality Control

Slashing Inefficiencies in Consumer Product Manufacturing with NIR Spectroscopy

Fundamentals of Indentation

The Science of Batteries

Measuring Adsorbate Profiles in Heterogeneous Catalytic Reactors by Iso-Potential Operando DRIFTS

Hydrogen storage - next generation fuel

Interrogating Solid Catalysts Using (In Situ) Diffuse Reflectance UV-Visible Spectroscopy

PFAS summit: a scientific series - Part III: a day in the life of the PFAS lifecycle

Strategies for Reducing Pipetting Errors

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