<p><strong>In the week from April 20, 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>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Metrohm: Copper deposition baths: Advanced analytical solutions for development and monitoring</strong></h5><ul><li>Tu, 21.4.2026 09:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6123">Registration</a></li></ul><p>Discover a multi-method approach to copper plating bath analysis combining titration, CVS, XRF, and pH measurement for improved process control, data reliability, and production quality.</p><h5><strong>2. Thermo Fisher Scientific: Lunch and Learn Tips and Tricks Series: Qtegra Part 2</strong></h5><ul><li>Tu, 21.4.2026 12:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5976">Registration</a></li></ul><p>Part two explores efficient Qtegra ISDS workflows and integrated tools designed to improve laboratory productivity and enhance trace elemental analysis quality.</p><h5><strong>3. C&amp;EN: NMR-augmented Workflows: Most Modern Integration into Laboratories</strong></h5><ul><li>Tu, 21.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6107">Registration</a></li></ul><p>From high resolution instruments in smaller footprints to smarter software that enhances data quality and streamlines analysis.</p><h5><strong>4. Agilent Technologies: Accurate Determination of Chlorine Isotope Ratio Analysis by 8900 ICP-MS</strong></h5><ul><li>Tu, 21.4.2026 20:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6047">Registration</a></li></ul><p>This session discusses techniques for low level chlorine analysis and isotope ratio on the 8900 QQQ-ICPMS.</p><h5><strong>5. SelectScience: What’s in your hydrogen? Analytical toolkits for fuel purity analysis</strong></h5><ul><li>We, 22.4.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6055">Registration</a></li></ul><p>Join this dual-session webinar on hydrogen impurity testing and ISO 14687 fuel quality. Learn how GC, GC-MS, IC, and FTIR workflows support safe, compliant hydrogen production and fuel-cell applications.</p><h5><strong>6. Bruker: Introduction to Photothermal AFM-IR for Infrared Spectroscopists</strong></h5><ul><li>We, 22.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6109">Registration</a></li></ul><p>With photothermal atomic force microscope infrared spectroscopy (AFM-IR), chemical identification at the nanoscale is achieved by measuring local IR spectra directly at the AFM tip.</p><h5><strong>7. Mettler-Toledo: How to Determine Specific Heat Capacity by DSC</strong></h5><ul><li>Th, 23.4.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5736">Registration</a></li></ul><p>Explore six DSC techniques for measuring specific heat capacity and understand its importance in material performance, processing, and safety. Join the live webinar.</p><h5><strong>8. Bruker: EDS Analysis of Fibers, Polymers, and Ceramics – Best Practices</strong></h5><ul><li>Th, 23.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6111">Registration</a></li></ul><p>Different EDS measurement approaches using conventional geometry and an annular approach (QUANTAX FlatQUAD) making the best choice for challenging analytical tasks.</p>

Webinars LabRulezICPMS Week 17/2026

<p><strong>Proficiency testing (PT) is applicable to quantitative, qualitative and interpretative assessments, but this leaflet will concentrate on PTs for quantitative tests. Participation in PT is an essential part of the quality assurance in analytical laboratories and provides them with many benefits. In PT the provider evaluates the performance of participants against pre-established criteria defined in the design of the PT scheme.</strong></p><h4><strong>Performance evaluation&nbsp;</strong></h4><p>The majority of PT schemes involve some form of performance score, such as the <i>z</i> or similar scores<sup>1</sup> , and corresponding assessment criteria. An assigned value (<i>x<sub>pt</sub></i>) and a standard deviation for proficiency assessment (<i>s<sub>pt</sub></i>) are determined and used to calculate the performance score of the laboratory result (<i>x<sub>i</sub></i>), e.g. the <i>z</i> score with <i><strong>z = (x<sub>i</sub> - x<sub>pt</sub> ) / s<sub>pt</sub></strong></i></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_How_can_proficiency_testing_help_my_laboratory_2_c1bf0b596f.jpg" alt="Eurachem: How can proficiency testing help my laboratory?" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_How_can_proficiency_testing_help_my_laboratory_2_c1bf0b596f.jpg 195w," sizes="100vw" width="952" height="761"></p><p>Assessment of <i>z</i> scores is based on the following criteria:&nbsp;</p><ul><li><strong>|</strong><i><strong>z</strong></i><strong>| ≤ 2.0</strong> is regarded as satisfactory;&nbsp;</li><li><strong>2.0 &lt; |</strong><i><strong>z</strong></i><strong>| &lt; 3.0</strong> is regarded as questionable (‘warning signal’);&nbsp;</li><li><strong>|</strong><i><strong>z</strong></i><strong>| ≥ 3.0</strong> is regarded as unsatisfactory (‘action signal’).&nbsp;</li></ul><p>This is based on the concept that normally distributed analytical results lie within <strong>two standard deviations with a probability of ca. 95 %</strong>, and within <strong>three standard deviations with a probability of 99.7 %</strong>.&nbsp;</p><p>PT providers have several options to determine <i>s<sub>pt</sub></i> such as prescribed/perceived desirable analytical performance or the observed distribution of data. The <i>s<sub>pt</sub></i> used by the PT provider may not be appropriate for all laboratories. If justified, the participants may then calculate their own <i>z</i> score using an alternative spt value which is fit for their purpose.&nbsp;</p><h4><strong>Corrective actions</strong></h4><p>Unsatisfactory performance scores (‘<strong>action signal</strong>’) indicate possible problems in the analysis undertaken. The laboratory must investigate this (e.g. by<strong> checking for transcription/calculation errors, trueness and precision</strong>) and, if necessary, address the problems through appropriate corrective actions. Participation in the PT provides very limited benefits to the laboratory, if unsatisfactory performance scores are not acted upon.</p><h4><strong>Evaluation of results over time&nbsp;</strong></h4><p>In addition to internal quality control, regular participation in PT enables laboratories to monitor their performance over time and to identify trends before these become problems. Performance scores obtained from subsequent PT rounds can be plotted in a control chart.&nbsp;</p><h4><strong>Method comparisons&nbsp;</strong></h4><p>Where PT schemes require participants to report details of the method used, the PT report may enable the participant to compare the performance of their method with that of other methods used.&nbsp;</p><h4><strong>Use of PT data to estimate bias&nbsp;</strong></h4><p>The bias of a method should be established using <strong>certified reference materials (CRMs)</strong> or comparison with a <strong>reference method.</strong> However, these may not be available for all matrices, analytes and levels, or CRMs may not be fully representative of the real test samples. Participation in PT provides the opportunity to check the bias taking into account the effects of matrix and concentration variation, provided that a reliable estimate of the “<strong>true value</strong>” is assigned in the PT. Participation in several PT rounds also provides information on the bias variability which can be used as a contribution in the laboratory evaluation of the measurement uncertainty.&nbsp;</p><h4><strong>Use of PT to check measurement uncertainties&nbsp;</strong></h4><p>The ζ (zeta) score can help to check the plausibility of the laboratory’s measurement uncertainty estimate. It is calculated as follows:</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_zeta_score_calculation_b70d8b1187.jpg" alt="Eurachem: Zeta score calculation" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_zeta_score_calculation_b70d8b1187.jpg 245w," sizes="100vw" width="423" height="188"></p><p>where <i>x<sub>i</sub></i> is the laboratory’s result, <i>x<sub>pt</sub></i> the assigned value, and <i>u(x<sub>i</sub>)</i> and <i>u(x<sub>pt</sub>)</i> are their respective standard uncertainties.&nbsp;</p><p>The assessment criteria for satisfactory, questionable and unsatisfactory results are the same as for the <i>z </i>score. The uncertainty reported by a laboratory for its measurement result is an estimate of the accuracy that the laboratory claims to reach. If <i>ζ</i> scores are outside the acceptable range, this shows that the laboratory is not able to fulfill its own requirements. In other words the measurement uncertainty is underestimated.&nbsp;</p><p>Additionally, the standard measurement uncertainty of a laboratory result can be expected to be lower than the reproducibility observed in the proficiency test. If the measurement uncertainty is much lower the uncertainty estimate should be reviewed.&nbsp;</p><h4><strong>Demonstration of competence&nbsp;</strong></h4><p>Successful participation in <strong>PT (| z | ≤ 2.0)</strong> is often seen as a proof of competence to customers, accreditation bodies and regulatory authorities. PT can also provide a valuable educational element to the laboratory, for example it can indicate the success of staff training or where additional training is required.&nbsp;</p><h4><strong>More information / further reading&nbsp;</strong></h4><p>B. Brookman and I. Mann (eds.) Eurachem Guide: Selection, Use and Interpretation of Proficiency Testing (PT) Schemes (3rd ed. 2021). Information about PT providers and schemes can be obtained from your national accreditation body, from the EPTIS website (www.eptis.org) or from other national or international organisations.</p>

How can proficiency testing help my laboratory?

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 20th April 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you white paper by <strong>Metrohm </strong>and application notes by<strong> Shimadzu, Thermo Fisher Scientific </strong>and<strong> Waters Corporation!</strong></p><h3><strong>1. Metrohm: Why switch to OMNIS Client/Server (C/S)?</strong></h3><ul><li>Other document</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/WP_097_EN_3a0ff88144.pdf"><strong>Full PDF for download</strong></a></li></ul><p>This White Paper outlines the key benefits of <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=220&amp;search=OMNIS+software"><strong>OMNIS</strong></a>, highlighting its scalability, cost-saving potential, and the positive impact it lends to overall business performance. The following sections cover more specific advantages of OMNIS, providing detailed insights into how this innovative solution can transform server management and drive significant cost reductions. Whether you are a small business looking to optimize your IT infrastructure or a large enterprise seeking to enhance operational efficiency, OMNIS offers a robust and scalable solution that can meet your needs.&nbsp;</p><p>The cost savings for two different scenarios are calculated in this White Paper: medium- and large-scale organizations. For mid-sized environments involving 20 laboratory locations, the OMNIS Client/Server solution offers significant savings by reducing the number of servers tenfold—from 20 to just 2. For large-scale organizations with 60 laboratory locations worldwide, the solution enables substantial cost reductions by decreasing the number of servers from 60 to 6. These calculations demonstrate the scalability and costeffectiveness of the OMNIS Client/Server solution across various customer environments.</p><h4><strong>COMPARISON OF TIAMO™ MULTI AND OMNIS CLIENT/SERVER&nbsp;</strong></h4><h5><strong>SCALABILITY&nbsp;</strong></h5><p><strong>tiamo™ multi Limitations&nbsp;</strong></p><p>A dedicated tiamo™ multi server is needed for each laboratory location.</p><p><strong>OMNIS C/S Advantages&nbsp;</strong></p><p>OMNIS C/S offers exceptional scalability, allowing businesses to easily expand their server infrastructure as needed. This means that as the business grows, OMNIS can seamlessly accommodate increased demand without compromising performance or efficiency. OMNIS is designed to scale up over many locations and countries without any negative impact on performance in a wide area network installation (WAN). By reducing the number of servers required to support operations, OMNIS C/S helps organizations achieve significant cost savings. This includes lower hardware costs, reduced energy consumption, and decreased maintenance expenses, resulting in substantial annual savings.</p><h5><strong>ANALYSIS METHODS</strong></h5><p><strong>tiamo™ multi Limitations&nbsp;</strong></p><p>tiamo™ was designed as a pure titration measurement software solution.</p><p><strong>OMNIS C/S Advantages&nbsp;</strong></p><p>OMNIS is designed as a multiple measurement technology platform currently supporting titration, near-infrared (NIR) spectroscopy, and process analytics. The platform will be continuously extended to support even more measurement technologies and devices in the future</p><h4><strong>CONCLUSION&nbsp;</strong></h4><p>The OMNIS Client/Server solution offers a transformative approach to managing server infrastructure for laboratory environments through centralization. By leveraging its unique scaling features, OMNIS enables significant cost savings and increased operational efficiency for both medium- and large-scale organizations.</p><h3><strong>2. Shimadzu: Measurement of Fixed Carbon, Volatile Matter, and Ash of Biocoke</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01136_en_c6a762bf92.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>The fixed carbon, volatile matter, and ash of biocoke can be measured by the DTG-60.</li><li>The combustion characteristics of biocoke can also be evaluated by using the DTG-60.</li><li>TG-DTA measurement can simultaneously grasp the endothermic and exothermic behaviors during pyrolysis and combustion, allowing a more comprehensive evaluation.</li></ul><p>Biocoke is a type of solid fuel produced using plant-derived organic resources (biomass) as the raw materials. Biocoke enables high-temperature combustion over an extended time period, and has also attracted attention as a zero-emission fuel which does not generate waste in the production process. It is produced by heating biomass under high-temperature and high-pressure conditions. A stable fuel with high compressive strength can be obtained by this process, allowing easy transportation and storage, as well as long-term preservation. As a fuel for industrial furnaces and boilers, biocoke is used as a substitute for conventional fossil fuels. It is also expected to be used as a sustainable energy source because its CO2 emissions are lower than those of fossil fuels. The diversity of the raw materials that can be used to produce biocoke, which include woody materials and agricultural residues, is also another feature.&nbsp;</p><p>In this article, the volatile matter, fixed carbon, and ash of biocokes produced from waste wood and buckwheat husks were evaluated using a Shimadzu DTG-60 simultaneous TG/DTA.</p><h4><strong>Evaluation of Combustion Characteristics by TG-DTA Measurement</strong></h4><p>TG-DTA measurements of the size-adjusted waste wood biocoke and buckwheat husk biocoke were conducted under an air atmosphere.</p><ul><li><strong>Instrument: </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=DTG-60"><strong>DTG-60&nbsp;</strong></a></li><li><strong>Heating rate: </strong>10 ˚C/min&nbsp;</li><li><strong>Temperature range:</strong> 30 ˚C - 700 ˚C&nbsp;</li><li><strong>Sample weight: </strong>8 mg&nbsp;</li><li><strong>Atmosphere: </strong>Air</li></ul><h4><strong>Conclusion</strong></h4><p>The combustion characteristics and fixed carbon content of waste wood biocoke and buckwheat husk biocoke were evaluated using a DTG-60 simultaneous TG/DTA. TG-DTA measurement is an effective method which can determine the combustion characteristics of biocokes under an air atmosphere and the composition ratio of the volatile matter, fixed carbon, and ash under a nitrogen atmosphere. Moreover, TG-DTA enables a more comprehensive evaluation, as the endothermic and exothermic behaviors during pyrolysis and combustion can be measured simultaneously. Since the properties of various types of biocokes differ depending on the raw material used and the production conditions, TG-DTA measurement is also useful for comparative studies of biocoke quality. In addition, when a mixture of various types of biomass is to be used, it is important to know the carbon content (fixed carbon content) of each raw material.</p><h3><strong>3. Thermo Fisher Scientific: Classification of polyethylene by Raman spectroscopy</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/AN_52301_classification_polyethylene_Raman_spectroscopy_app_note_05122821c5.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Polyethylene (PE) is one of the most common plastics in the world with annual global production of around 80 million tons.<sup>1</sup> Based on density, polyethylene is generally classified as high-density polyethylene (HDPE, &gt; 0.940 g/cm3 ) or low-density polyethylene (LDPE, &lt; 0.930 g/cm3 ).<sup>2</sup> These different density polyethylene’s have vastly different physical, chemical, and mechanical properties, and hence are used in different applications. For example, HDPE is primarily used for milk jugs, detergent bottles, garbage containers, and water pipes, due to its high tensile strength; LDPE, on the other hand, has a lower tensile strength and is used mainly for plastic bags and wraps. Therefore, density is one the most important properties of polyethylene, and classifying them according to their density is essential for proper PE specification.&nbsp;</p><p>Bulk PEs are manufactured as pellets (resins, granules), and later converted to other forms (such as films and pipes) using extrusion or molding processes. They are also made into multilayer films for a wide range of industrial applications like food and consumer product packaging. The density of bulk PE pellets and single-layer PE films can be measured and classified with relative ease using several standard techniques: ISO 1183-1/ASTM D792 (immersion method),<sup>3</sup> ISO 1183-2/ASTM D1505 (density gradient method),<sup>4</sup> and ASTM D4883 (ultrasound method).<sup>5</sup> However, all these techniques require the PE in its “pure” form, which can be challenging in the case of PE in multilayer films. Extensive sample preparations (microtoming, separation of layers by dissolving in solvents) are often required6 to isolate the PE layer before analysis, which can be labor-intensive and time-consuming.&nbsp;</p><p>Raman spectroscopy is sensitive to changes in the molecular structure level of PE, such as the degree of crystallinity, which is the key determining factor of PE density.<sup>7,8 </sup>More importantly, the confocal capability of Raman microscopy allows for facile in situ analysis of individual PE layers in multilayer films without the need to isolate the PE layer. To our best knowledge, PE density measurement using Raman has been limited to PE pellets.<sup>7,8</sup> In this work, we want to systematically explore the feasibility of using confocal Raman microscopy for PE film density analysis, both qualitatively and quantitatively. We demonstrate that Raman microscopy in combination with the discriminant analysis method can be successfully applied to distinguish HDPE and LDPE in both pellet and film forms.</p><h4><strong>Experimental</strong></h4><h5><strong>Method description</strong></h5><p>A <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=3&amp;search=DXR2+Raman+microscope"><strong>Thermo Scientific™ DXR2 Raman Microscope</strong></a> was used for the collection of Raman data. For each type/class of the pellet samples, Raman spectra were collected from 3 different pellets and averaged. For each film sample, Raman spectra were collected from 3-4 locations across the surface of the sample. An averaged spectrum was then used for final analysis.</p><p>A 532 nm laser was used with a 2 mW laser power at the sample. A 10x objective and a 50 μm slit aperture were used to obtain more representative spectra from the samples. Total acquisition time for each spectrum was 30 seconds (3 second exposure x 10 exposures). <strong>Thermo Scientific™ OMNIC™ software</strong> was used for operation of the DXR2 Raman Microscope, and collection of Raman spectra; <strong>Thermo Scientific™ TQ Analyst™ software</strong> was used for chemometric analysis of the Raman data.</p><h4><strong>Conclusion</strong></h4><p>In this application note, we have successfully demonstrated the use of a Thermo Scientific DXR2 Raman Microscope, in combination with the TQ Analyst software, to classify polyethylene’s of different density classes in both pellet and film forms. Raman spectroscopy is nondestructive and requires minimal sample preparation. The classification method was created solely based on the Raman spectral features of LDPE and HDPE and was indifferent to the sample forms. Once the method is established, PE samples, pellets or films, can be correctly classified within minutes. Moreover, this work expands the scope of the previously reported study on PE pellets to include PE films, which broadens its applicability in the plastic/ polymer industry as well as many downstream industries. The described methodology should be applicable for in situ classification of thin PE layer(s) in multilayer films. The data were collected using an older model instrument DXR2 Raman microscope. Currently, Thermo Fisher Scientific offers an improved model, the DXR3 Raman Microscope, which offers superior speed and performance over its predecessor model.</p><h3><strong>4. Waters Corporation: Rapidly Distinguish Protein from Non-Protein Particles in Biologic Formulations</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009101_en_b4370d547c.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Current subvisible analysis techniques make accurate particle identification virtually impossible. Light obscuration (LO) is a low refractive index contrast particle counting method which cannot distinguish between different particle types. Flow imaging (FI) techniques provide more information than LO, including particle images, morphological parameters and optical characteristics of particles. However, none of these features definitively identify the type of particle imaged. Flow imagers for example cannot distinguish between plastic, protein, and degraded polysorbate which are all very similar in morphology. Technologies available for detailed chemical composition ID such as Raman microscopy/spectroscopy have been used to fill in the gaps left by particle counters; however, they are tedious, require lots of expertise and extensive signal processing, and have the throughput of a single particle per several minutes of use, making the technique useful only to expert users during failure mode analysis.&nbsp;</p><p>In order to fully characterize particulates and aggregates in biopharmaceutical product formulations, further information about the identity of all the particulates is crucial. Regulatory agencies expect drug manufacturers to move away from simple counting techniques and apply multiple and orthogonal methods to complement compendial methods.&nbsp;</p><p>In this application note we introduce fluorescence membrane microscopy (FMM). FMM, exclusively available in the Aura™ System, is a high throughput, low volume, subvisible particle identification technology. FMM enables ultra-fast, 100% sampling efficiency, characterizing all particles from a single protein aggregate to tens of millions of particles in an entire multi-sample formulation, in under two hours.</p><h4><strong>Experimental</strong></h4><p>Fluorescence membrane microscopy (FMM) is a novel particle identification method that builds on backgrounded membrane imaging (BMI) to identify, categorize, and further scrutinize the most common particles in an entire bioformulation sample by using established extrinsic fluorescent dye chemistries.&nbsp;</p><p>BMI, the backbone analysis technology used in the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2190"><strong>Aura</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=5&amp;search=horizon"><strong>Horizon®</strong></a> instruments, images a 96-well membrane plate before and after sample filtration, and conducts novel, high optical contrast image analysis to resolve particles from 1 µm to 5 mm in size, with a large &gt;36/mL counts dynamic range. Using fluorescent dyes, biopharmaceutical particles are stained and analyzed with FMM to confirm and quantify their presence. To enable FMM, Aura uses new membrane plates specifically manufactured to support labeled fluorescent workflows.</p><h4><strong>Conclusion</strong></h4><p>FMM using ThT allows one to conduct high throughput, low volume and specific protein/non-protein particle analysis. The power of FMM using ThT is the ability to obtain protein/non-protein ID for a whole 96-well plate assay down to a single individual particle in less than 90 minutes. ThT’s high solubility and specificity to protein aggregates makes it possible to differentiate protein aggregates from particles with similar morphology and refractive index like plastics and fatty acids. Compared to spectroscopic techniques, the throughput of FMM is 1000x higher, while using best in class particle sizing and counting analysis that has its roots in the wellestablished membrane microscopy found in USP 788.</p>

News from LabRulezICPMS Library - Week 17, 2026

Article

Webinars

Application

Academy

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

Eurachem

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

LabRulez

Separation Science

Mettler-Toledo

Anton Paar

SPECTRO Analytical Instruments

Bruker

SelectScience

C&EN

<header><h4><strong>Discover Basic Principles and Practical Applications</strong></h4></header><main><div><div><h5><strong>Program</strong></h5><ul><li>Introduction to viscoelasticity</li><li>Principles of dynamic mechanical analysis</li><li>DMA measurement options</li><li>How DMA is used in different industries</li><li>Real-life analysis examples</li><li>Interactive Q&amp;A session</li></ul></div></div><div><div><div><p>Dynamic mechanical analysis (DMA) is a well-established technique for characterizing the mechanical properties of many different materials. These include plastics, adhesives, composites, rubber, coatings, films, and fibers. It is an excellent technique for determining effects such as the glass transition, curing, modulus, damping, viscoelasticity, and vulcanization.</p><h4><strong>What Type of Information Can We Get From DMA?</strong></h4><p>DMA provides quantitative and qualitative information on:</p><ul><li>Young’s modulus and shear modulus values</li><li>Damping characteristics and viscoelastic behavior</li><li>Polymer structure and morphology</li><li>Flow and relaxation behavior</li></ul><p>This type of information is very important for the research and development of new materials, as well as for quality control and failure analysis.</p><p>Are you ready to deepen your understanding of DMA and expand your thermal analysis knowledge? &nbsp;Join our upcoming webinar to learn more about DMA and explore real-life applications in a range of industries.</p><p>Register now to secure your spot, and be sure to prepare your questions for our experts!</p></div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><div style="max-width:1px;width:100%;" id="mediaContainerWrapper_2110920040"><div style="height:1px;width:1px;" data-external-url="" id="mediaContainer_2110920040" data-advanced-option="false" data-width="1" data-height="1" data-video-id="">&nbsp;</div></div></div></div></div></div></main><div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><blockquote><div><strong>Presenter: </strong>Angela Hammer (Dr. sc. nat. ETH)</div><p>Dr. Angela Hammer received a Ph.D. in Analytical Chemistry (development of immobilized components for the use in ion-selective electrodes based on polyurethane membranes) from the Institute of Organic Chemistry at the Swiss Federal Institute of Technology in Zürich, Switzerland. She then joined Sika Technology AG in Zurich, Switzerland, as an analytical chemist. In 2007, she joined METTLER TOLEDO and has worked there since as an application specialist for Thermal Analysis. In her present position, she uses, teaches, and supports DSC, TGA, TMA, and DMA instruments for the METTLER TOLEDO’s Materials Characterization Group located at the head office in Switzerland.</p></blockquote></div></div></div>

Mettler Toledo: Dynamic Mechanical Analysis (DMA)

Dynamic Mechanical Analysis (DMA)

Join this webinar to understand DMA principles, viscoelastic behavior, and practical applications for material testing across industries.

<p><strong>Achieving reliable results in elemental analysis requires more than just advanced instrumentation—it demands a deep understanding of sample introduction, plasma conditions, and calibration strategies.</strong></p><p>The upcoming live webinar "Basic Considerations When Working With ICP-OES" will guide laboratory professionals through the essential considerations for working with ICP-OES, ensuring precision and accuracy in every measurement.</p><h4><strong>What You'll Learn:</strong></h4><ul><li>Participants will learn how to select and optimize key components such as torches, nebulizers, spray chambers, and pump tubing for different sample matrices, including high-salt and organic applications.</li><li>The session also covers best practices for calibration, matrix matching, and method optimization to achieve the lowest possible detection limits.</li></ul><h4><strong>Key Takeaways:</strong></h4><ul><li>Discover how to optimize sample introduction for maximum ICP-OES accuracy</li><li>Learn optimization techniques for plasma and gas flows to improve sensitivity</li><li>Gain insights into calibration strategies for both inorganic and organic samples</li></ul><p>Join us to explore how advanced ICP-OES solutions simplify complex workflows and deliver dependable results for diverse applications.&nbsp;</p><blockquote><p><strong>Presenter:</strong> Oliver Primm (Application Scientist ICP-OES at SPECTRO Analytical Instruments)</p></blockquote>

SPECTRO / AMETEK: Boost Your ICP-OES Accuracy

Boost Your ICP-OES Accuracy

Join us to explore how advanced ICP-OES solutions simplify complex workflows and deliver dependable results for diverse applications. 

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

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

Polymer Rheology: Testing Behavior Across Time and Temperature

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

Testing Behavior Across Time and Temperature

<div><p><strong>The interest in peptides as new scaffolds in the development of novel drugs has significantly increased owing to their potential to interact with novel and challenging biological targets. Nuclear magnetic resonance (NMR) has long been the method of choice for elucidating solution-state conformational ensembles and kinetics across diverse modalities, including peptides. Being an intrinsically quantitative analytical technique that delivers atomistic-level structural and dynamic information, NMR enables rapid peptide structural and conformational characterization. Furthermore, NMR data from mixture analysis can deliver comprehensive mechanistic insight and inform process development.</strong></p><p>This presentation will introduce a recently developed NMR-based workflow for the rapid determination of high-resolution three-dimensional conformational ensembles of cyclic peptides and macrocycles in solution. The approach achieves accurate structures from a minimal set of NMR restraints by leveraging an advanced conformational sampling algorithm. In the second part, we will describe the development of a flow-NMR platform based on Bruker's InsightMR and associated methodologies that permit controlled modulation of sample conditions and real-time investigation of peptide kinetics. Together, these advances provide an integrated framework for multiscale structural analysis, offering rapid access to high-resolution solution conformations and assembly kinetics, with the potential to accelerate the design and development of novel peptide-based medicines.</p><h4><strong>What to Expect</strong></h4><p>This webinar presents advanced NMR methodologies for structural and kinetic characterization of cyclic peptides and macrocycles in solution. We will discuss workflows enabling high-resolution conformational ensembles from minimal restraints and introduce flow-NMR platforms for real-time kinetic analysis. These innovations provide a robust framework to accelerate peptide-based drug development.</p><h4><strong>Key Learning Points</strong></h4><ul><li><strong>High-Resolution Conformational Ensembles</strong><ul><li>Understand how minimal NMR restraints combined with advanced sampling algorithms enable accurate 3D structures of cyclic peptides and macrocycles.</li></ul></li><li><strong>Real-Time Kinetic Analysis via Flow-NMR</strong><ul><li>Explore methodologies for controlled modulation of sample conditions and dynamic monitoring of peptide assembly and kinetics.</li></ul></li><li><strong>Integrated Framework for Drug Development</strong><ul><li>Learn how these innovations accelerate peptide-based drug design by delivering atomistic insights into structure, dynamics, and mechanistic pathways.</li></ul></li></ul><h4><strong>Who Should Attend?</strong></h4><p>Structural biologists (NMR), medicinal and computational chemists, analytical and process development scientists, as well as anyone involved in peptide research, drug development, or structural analysis who wants to explore advanced NMR workflows for cyclic peptides and macrocycles.</p><blockquote><p><strong>Presenter:</strong> Mikhail Reibarkh (Senior Principal Scientist, Merck &amp; Co., Inc.)</p><p>Mikhail Reibarkh is a scientific lead of the NMR group in the ARD department at Merck, where he works since 2009. He has a Ph.D. in Biophysics from the Moscow Institute of Physics and Technology, followed by postdocs at the University of Michigan and at Harvard Medical School. Prior to joining Merck, he worked at Varian, Inc.</p><p><strong>Presenter:</strong> Qi Gao (Associate Principal Scientist, Merck &amp; Co., Inc.)</p><p>Qi is an NMR spectroscopist at Merck, specializing in NMR-driven solutions for complex analytical challenges across small molecules, peptides, and biologics therapeutic development, with advanced structure elucidation and method innovation. Prior to joining Merck, she obtained her Ph.D. in Chemistry from the University of Georgia, focusing on glycoprotein characterization.</p></blockquote></div>

Bruker: Ride the Tide: Novel NMR Approaches for Peptide Conformation and Kinetics Characterization

Ride the Tide: Novel NMR Approaches for Peptide Conformation and Kinetics Characterization

Learn how advanced NMR and flow-NMR workflows enable rapid structural and kinetic characterization of cyclic peptides and macrocycles for drug development.

Novel NMR Approaches for Peptide Conformation

<div><div id="inner_content_body_text" data-content-id="394785"><p><strong>Oxidation, stability, and performance - revealed by temperature changes. Differential Scanning Calorimetry (DSC) tells powerful stories about petrochemical materials under thermal and oxidative stress. In this webinar, discover how DSC uncovers oxidation behavior, stability, and phase transitions in lubricants, bituminous binders, biodiesel, and related products.</strong></p><h4><strong>What you’ll learn:</strong></h4><ul><li><strong>Oxidation Induction Time (OIT) and Oxidation Onset Temperature (OOT):</strong><ul><li>Evaluating oxidative stability according to ASTM E1858, ASTM D3895, ISO 11357-6.</li></ul></li><li><strong>Lubricants and fuels:</strong><ul><li>Thermal stability, additive efficiency, and degradation behavior.</li></ul></li><li><strong>Bituminous binders and complex formulations:</strong><ul><li>Thermal consistency, aging effects, and phase behavior.</li></ul></li><li><strong>Practical DSC workflows:</strong><ul><li>Atmosphere control, heating programs, and method optimization for petrochemical applications.</li></ul></li></ul><p>Join us to see how DSC transforms thermal data into actionable insights for quality control, formulation development, and performance prediction in the petrochemical industry.</p><blockquote><p><strong>Presenter:</strong> Jiri Kislinger</p></blockquote></div></div>

Anton Paar: Heated Stories: What Differential Scanning Calorimetry Reveals About Petrochemical Materials

Heated Stories: What Differential Scanning Calorimetry Reveals About Petrochemical Materials

Discover how DSC enables oxidation stability testing, thermal analysis, and performance prediction of petrochemical materials using OIT, OOT, and ASTM methods.

Differential Scanning Calorimetry Reveals Petrochemicals

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

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

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

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

Enhancing Quality Control with Smarter XRF Solutions

<h4><strong>Collect richer, more reliable data on difficult surfaces</strong></h4><p><strong>In this webinar, we’ll explore the innovative Enhanced Data Capture measurement technique and demonstrate how it unlocks richer, more reliable data on surfaces that are traditionally difficult to measure due to steep, rough, or complex geometries. You’ll see how this approach elevates metrology performance and expands what’s possible in real‑world applications.</strong></p><p>The session will feature a focused presentation, a live demonstration of the technique in action, and dedicated time for Q&amp;A to dive deeper into your specific interests.</p><h5><strong>Join us for this webinar to:</strong></h5><ul><li>Learn what makes this technology unique</li><li>Hear about real-world applications for Enhanced Data Capture</li><li>Watch a live demonstration of the technique in action</li></ul><blockquote><p><strong>Presenter: </strong>Robert Wang, North American Sales Account Manager (East Coast), Bruker</p><p>Robert Wang is a Technical Account Manager at Bruker Nano Surfaces &amp; Metrology, where he leads sales and customer engagement across a wide portfolio of advanced surface‑metrology instruments, including profilometers, tribometers, polishers, ellipsometers, and reflectometers. With deep expertise in white‑light interferometry, stylus metrology, and other precision‑measurement techniques, Robert has assisted many clients across every sector of engineering and research.</p><p>He holds both an M.Eng. and B.Eng. in Materials Science and Engineering from Imperial College London, complemented by the Business, Professional, and Entrepreneurial Studies (BPES) program. His technical background spans materials characterization, fracture and failure mechanics, quantum physics, nanomaterials, and advanced alloys and ceramics.</p><p>Across engineering, analytics, and commercial roles, Robert is driven by a commitment to developing innovative, science‑based solutions that advance sustainability and contribute to a more resilient future.</p><p><strong>Presenter:&nbsp;</strong>Nishant Kodan, Applications Specialist, Bruker</p><p>Nishant Kodan is an Applications Scientist at Bruker Nano. with a strong foundation in physics and optical metrology. He earned an M.S. in Physics from Rochester Institute of Technology and a B.S. in Physics from Hansraj College, University of Delhi. His NIH‑funded master’s thesis built mathematical models for organelle size control and, in collaboration with biologists, explained nucleolar size regulation in worm cells—work tied to cancer and neurodegenerative disease. Nishant has industry experience at Signify (optics for commercial lighting solutions) and ams‑OSRAM (Silicon based image sensor characterization).</p></blockquote>

Bruker: Enhanced Data Capture for 3D Optical Profilers

Enhanced Data Capture for 3D Optical Profilers

Enhanced Data Capture metrology showing how to measure complex, steep, and rough surfaces with higher accuracy through live demos and applications.

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div><p><strong>The performance and safety of lithium-ion batteries (LIBs) are fundamentally linked to the structural and chemical stability of their electrode materials and electrolytes. This presentation explores the application of Raman spectroscopy as a non-destructive, high-resolution diagnostic tool for characterizing the electrode materials. Unlike traditional X-ray diffraction, Raman spectroscopy is very sensitive to local chemical environments, lattice dynamics, and amorphous phases, making it ideal for monitoring postsynthetic impurities, phase transitions, lithium-ion intercalation processes, and possible degradation mechanisms.</strong></p><p>The presentation highlights the transition from static characterization to in situ and operando techniques, which allow for real-time observation of ionic transport and structural changes under actual operating conditions. By correlating Raman spectral changes with electrochemical performance, this diagnostic approach provides insights for optimizing material synthesis and further enhancing the energy storage safety.</p><h5><strong>By attending this webinar, you will:</strong></h5><ul><li>Understand how Raman spectroscopy is applied as a non-destructive technique to characterize lithium-ion battery electrode materials and electrolytes.</li><li>Recognize the sensitivity of Raman spectroscopy to local chemical environments, lattice dynamics, amorphous phases, and degradation mechanisms.</li><li>Explain the role of in situ and operando Raman techniques in monitoring phase transitions and lithium-ion intercalation under operating conditions.</li><li>Relate Raman spectral changes to electrochemical performance to support material optimization and battery safety.</li></ul><blockquote><p><strong>Presenter: </strong>Dominika Buchberger, PhD (Scientific Project Manager, Laboratory of Energy Storage Technologies and Applied Radiochemistry (LESTAR), Faculty of Chemistry, University of Warsaw)</p></blockquote></div></div></div>

SeparationScience: Raman Spectroscopy for Li-ion Battery Material Diagnostics

Raman Spectroscopy for Li-ion Battery Material Diagnostics

Presentation explores application of Raman spectroscopy as non-destructive, high-resolution diagnostic tool for characterizing electrode materials.

<p><strong>Lipid nanoparticle (LNP) payloads are the top choice when it comes to delivering a wide range of nucleic acid therapeutics, like RNA and plasmid DNA (pDNA). But when it comes to characterizing LNPs, assays for size, payload quantification and encapsulation efficiency (EE%) are split up in different steps that slow down any workflow. This split‑assay approach adds complexity, from increased pipetting steps to surfactants that alter pDNA structure and reduce reproducibility and sample throughput. As LNP programs scale up, researchers need simpler, faster LNP characterization in an EE% method that works with any nucleic acid payload.</strong></p><p>In this SelectScience® webinar, Dr. Kevin Lance, Director of Product Management at Unchained Labs, will present new data showing how Stunner AF measures EE% for both RNA‑ and pDNA‑containing LNPs without surfactants, and will demonstrate how avoiding surfactant‑driven particle disruption creates a platform EE% assay that also allows simultaneous reads on size and aggregation from the same measurement. You will learn how to integrate Stunner AF into RNA‑ and pDNA‑LNP screening, formulation optimization, and QC workflows to capture more LNP data in far less time.</p><h4><strong>Key learning objectives:</strong></h4><ul><li>Learn how to characterize size, payload amount, and encapsulation efficiency in a single, one-instrument assay.</li><li>Understand the challenges with pDNA payloads and what steps to take to overcome them.</li><li>Explore the challenges and latest approaches in UV/Vis quantification of LNPs and their payloads.</li><li>Understand how surfactant‑free EE% measurements preserve particle integrity for both RNA‑ and pDNA‑LNPs.</li><li>Learn how to streamline high‑throughput LNP screening with up to 44 samples plus standards on a single 96‑well plate.</li></ul><h4><strong>Who should attend?</strong></h4><ul><li>Formulation and analytical scientists developing and optimizing biologic drug products – including conjugated LNPs, novel formulations, stability studies, excipient screening, and biophysical characterization.</li><li>Process development teams translating early formulations into scalable, manufacturable processes.</li></ul><h4><strong>Certificate of attendance</strong></h4><p>If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.</p><p>If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.</p><h4><strong>Webinar details</strong></h4><ul><li><strong>Cost:</strong> Free to attend</li><li><strong>Location:</strong> Online</li><li><strong>Duration: </strong>60 minutes</li></ul><p><i>Registration is required to secure your place. If you register but cannot attend live, you will receive a link to the on‑demand recording once it becomes available.</i></p><blockquote><p><strong>Presenter: </strong>Dr. Kevin Lance (Director, Product Management, Unchained Labs)</p><p>Dr. Kevin Lance covers the Stunner portfolio globally at Unchained Labs. His expertise includes biophysical characterization of proteins, nucleic acids, viral vectors, and LNPs. Prior to Unchained Labs, his research experience covered the fields of sustained antibody delivery and nanotechnology. He earned his Ph.D. in Bioengineering from the joint UC Berkeley – UCSF Bioengineering Graduate Program.&nbsp;</p><p><strong>Moderator: </strong>Olivia Long (Editorial Team, SelectScience)</p></blockquote>

SelectScience: Supercharge LNP EE% and size characterization on Stunner AF

Supercharge LNP EE% and size characterization on Stunner AF

Streamline RNA and pDNA LNP characterization with surfactant-free EE% measurement, size and aggregation in one assay using Stunner AF.

<h4><strong>The Problem</strong></h4><p>Lab automation promises speed and scale, but too often it operates without intelligence. Researchers must translate scientific intent into rigid workflows, scripts, and parameters — requiring deep expertise and constant manual intervention. As experiments grow more complex, automation becomes harder to adapt, forcing scientists to rely on guesswork and slowing iteration.</p><h4><strong>The Solution</strong></h4><p>Stuntman brings native AI into automation to fundamentally change how experiments are run. With built-in intelligence, Stuntman allows researchers to describe their intent in plain language and have experiments designed, executed and analyzed end-to-end. Stuntman creates workflows, runs experiments, logs results, and hands data back for AI-driven interpretation – guiding experiments forward with clarity, adaptability, and purpose.</p><h4><strong>The Proof</strong></h4><p>In this webinar, see how Stuntman turns ideas into executable experiments across pharma, biopharma, materials, energy, consumer goods workflows, and more. Learn how Stuntman’s built-in AI enables experiment design, automated execution and rapid iteration — all on a single, integrated platform.</p><h4><strong>Key Learning Objectives:</strong></h4><ul><li>Understand why traditional lab automation struggles to scale with experimental complexity and where intelligence is missing.</li><li>See how Stuntman embeds native AI into automation workflows to translate scientific intent into executable experiments.</li><li>Learn how a fully integrated platform connects experiment design, execution, data logging, and AI-driven iteration across industries.</li></ul><blockquote><p><strong>Presenter: </strong>Ruja Shrestha (Product Manager, Unchained Labs)</p><p><strong>Presenter:&nbsp;</strong>Sara Kobilka (Contributing Editor, C&amp;EN Media Group)</p></blockquote>

C&EN: Explode into AI-driven Automation with Stuntman

Explode into AI-driven Automation with Stuntman

AI-powered lab automation with Stuntman—design, execute, and iterate experiments end-to-end on one integrated platform.

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