A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics

This leaflet is intended to help participants in quantitative proficiency testing (PT) schemes to better understand the performance assessment made by the PT provider [1-4].<h3>Performance assessment parameters&nbsp;</h3><h4>Assigned value&nbsp;</h4>In order to assess individual performances, the results reported by participants are compared to the value assigned by the PT provider (xpt). ISO 13528 [1] suggests five different ways to obtain xpt (Figure 1). In this context, the design of the PT scheme must reflect the objectives of the scheme, comparing results either to a predetermined xpt (independent from the participant results), or to a value derived from the reported results. The PT provider is responsible for defining xpt , taking into account the advantages and disadvantages of the various possibilities when establishing metrological traceability or estimating the uncertainty of the assigned value, u(xpt).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_1_e5ef5d1f9c.jpg" alt="Eurachem - Figure 1 Options for obtaining the assigned value, Xpt" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_1_e5ef5d1f9c.jpg 245w," sizes="100vw" width="640" height="382"><h4>Uncertainty of the assigned value&nbsp;</h4>The uncertainty of the assigned value u(xpt) can be estimated in at least five different ways [1], each corresponding to the value assignment strategy illustrated in Figure 1. The different uncertainty evaluation methods are listed in Figure 2. This uncertainty can be reported as a standard uncertainty (u (xpt)), or as an expanded uncertainty U (xpt) with a coverage factor k, where U (xpt) = k . u (xpt). The choice of k will impact the level of confidence (e.g. approximately 95 % for k = 2).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_2_f41ebc0c61.jpg" alt="Eurachem: Figure 2 Options for obtaining the uncertainity of the assigned value, u(Xpt)" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_2_f41ebc0c61.jpg 245w," sizes="100vw" width="727" height="378"><h4>Standard deviation for proficiency assessment&nbsp;</h4>Five possibilities are suggested by ISO 13528 to set the standard deviation for proficiency assessment spt (Figure 3). The chosen approach must comply with the objectives of the PT scheme.&nbsp;<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_3_f09cb3969e.jpg" alt="Eurachem: Figure 3 Options for obtaining the standard deviation for proficiency assesment" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_3_f09cb3969e.jpg 245w," sizes="100vw" width="638" height="355">Two approaches for performance assessments use spt as shown in Table 1.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Table_1_Scoring_for_performance_assessment_3dd03aa3fb.jpg" alt="Eurachem: Table 1 - Scoring for performance assessment." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Table_1_Scoring_for_performance_assessment_3dd03aa3fb.jpg 245w," sizes="100vw" width="1390" height="571"><h3>Performance assessment&nbsp;</h3>All performance assessments are based on the difference between the participant’s results (xi) and the assigned value (xpt) divided by a normalisation factor (Table 1).&nbsp;<ul><li>The percent difference D% is the normalised difference expressed as a percentage of xpt , for which a prescribed maximum relative permissible error (dE% = dE / xpt) is defined by the PT provider.&nbsp;</li><li>The z score (unitless) compares the participant’s deviation from the assigned value with the standard deviation for proficiency assessment (spt). When the uncertainty of the assigned value is significant (u(xpt) &gt; 0.3 spt), the z’ score should be used instead, to include the contribution of u(xpt) in the denominator.&nbsp;</li><li>The zeta (ζ) score (unitless) states whether the laboratory’s result agrees with the assigned value within the respective uncertainty. The denominator is the combined (standard) uncertainty of the assigned value u(xpt) and the (standard) measurement uncertainty reported by the laboratory u(xi). An unsatisfactory zeta score can either be caused by an inappropriate estimation of the measured quantity value (e.g. concentration, content), or of its measurement uncertainty, or both.&nbsp;</li><li>The En score (unitless), unlike the zeta score, uses a combination of expanded uncertainties as the normalisation factor. This combination corresponds to a confidence interval of approximately 95 %. En scores are often used in metrology comparisons among calibration laboratories.</li></ul><h3>Interpretation of performance scores&nbsp;</h3>According to ISO 13528:2022 clause 9.4.2, the conventional interpretation of the z, z’ and ζ scores is as follows:&nbsp;<ul><li>A result that gives |score| ≤ 2.0 is considered to be acceptable, indicating satisfactory performance.&nbsp;</li><li>A result that gives 2.0 &lt; |score| &lt; 3.0 is considered to give a warning signal, indicating questionable performance.&nbsp;</li><li>A result that gives |score| ≥ 3.0 is considered to be unacceptable (or action signal), indicating unsatisfactory performance.&nbsp;</li></ul>Similarly, |En| &lt; 1 and |D%| &lt; dE% indicate successful (acceptable) performance.

Understanding PT performance assessment

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 15th June 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you technical note by Agilent Technologies, application note by Shimadzu and other document by Thermo Fisher Scientific!<h3>1. Agilent Technologies: Smooth Migration from Single Quadrupole ICP-MS to the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=9500">Agilent 9500 ICP-QQQ</a></h3>Automated method transfer using the Batch Conversion Tool of Agilent OpenLab ICP-MS software<ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_batch_conversion_tool_9500_icp_ms_5994_9214en_agilent_0a1bba76e2.pdf">Full PDF for download</a></li></ul>Transitioning from a single quadrupole (SQ) ICP-MS to a triple quadrupole ICP-MS (ICP-QQQ) might appear daunting or disruptive, usually requiring the redevelopment of analytical methods and workflows. Users often wonder if they can reuse existing batches and whether routine processes will be interrupted during this switch.&nbsp;Switching from SQ ICP-MS to the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=9500">Agilent 9500 ICP-QQQ</a> involves minimal disruption. Agilent provides a solution that enables smooth, automated transfer of existing SQ ICP-MS methods to the 9500 ICP-QQQ, all while preserving the current batch logic and analytical purpose.This note explains how the Batch Conversion Tool in Agilent OpenLab ICP-MS software facilitates automated batch conversion. It allows users to seamlessly transition from SQ ICP-MS to the 9500 ICP-QQQ without needing to rebuild methods or alter their existing workflows.&nbsp;Three key aspects of method migration are addressed in this document:&nbsp;<ul><li>The design concept and conversion behavior of the Batch Conversion Tool, detailing which batch elements are preserved or adapted during conversion.&nbsp;</li><li>It also explains the rationale behind the available conversion options and how the advanced cell technologies of the 9500, such as Advanced Helium Mode (AHM) and Air cell mode, support operational continuity and potential performance improvements after migration.&nbsp;</li><li>Additionally, it outlines a typical end-to-end migration workflow, including methods for reviewing the postconversion process and assessing data quality using built-in indicators.&nbsp;</li></ul>These points collectively show that switching from SQ ICP-MS to the 9500 ICP-QQQ can be seamless. They also illustrate how to carry out method transfer in a controlled and transparent manner, providing a practical framework for refining the method when necessary.<h4>What is the Batch Conversion Tool?&nbsp;</h4>The Batch Conversion Tool is a feature of OpenLab ICP-MS software that transforms batches created for Agilent SQ ICP-MS systems into formats compatible with the 9500 ICP-QQQ (see Figure 1).&nbsp;Batches made for <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7700">Agilent 7700</a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7800">7800</a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7850">7850</a>, and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7900">7900 </a>ICP-MS instruments using Agilent ICP-MS MassHunter or OpenLab ICP-MS software can be imported and converted. During this process, the tool applies predefined rules to produce a batch suitable for the 9500, all while maintaining the original batch setup.&nbsp;These conversion rules are based on Agilent’s over 10 years of experience in ICP-QQQ development and applications. By harnessing this expertise, the Batch Conversion Tool automatically implements optimal measurement conditions and reaction strategies for each analyte, ensuring strong interference control and consistent analytical performance post-migration.Manually recreating batch components like element selections, isotope settings, and QC configurations can be time-consuming. Alternatively, the Batch Conversion Tool automates this process, usually finishing within seconds.<h4>Conclusion&nbsp;</h4>The Batch Conversion Tool in Agilent OpenLab ICP-MS software allows for easy, automated transfer of existing SQ ICP-MS batches to the Agilent 9500 ICP-QQQ, without affecting current analytical workflows.&nbsp;By maintaining batch structure and analytical intent, users can switch to the 9500 ICP-QQQ without needing to rebuild methods or disrupt daily operations. The tool also offers structured conversion options to help users harness the advanced features of the 9500 platform.&nbsp;Additionally, migration from non-Agilent ICP-MS systems can be streamlined through element list import via the Method Advisor, providing an efficient way to create methods when transitioning to Agilent equipment. Overall, moving from SQ ICP-MS to the 9500 ICP-QQQ is a smooth, controlled process that ensures continuity and offers opportunities for method enhancement.<h3>2. Shimadzu: Static Puncture Strength of Geotextile Products Usinga 50mmProbe</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_07_2603_en_2470aa6ee5.pdf">Full PDF for download</a></li></ul>Geotextiles are permeable geosynthetic materials, typically made from polypropylene or polyester, available in woven and non-woven forms. They provide separation, filtration, drainage, and reinforcement, improving soil stability, load distribution, and the durability of infrastructure such as roads, railways, embankments, landfills, and retaining structures.&nbsp;During transportation, installation, and service geotextiles can be exposed to concentrated loads and sharp objects which can reduce the effectiveness of materials therefore puncture resistance is a critical parameter for evaluating geotextile durability. The puncture resistance of geotextiles are commonly determined as per ASTM D62411) and ISO 122362), which measures the force required to penetrate the fabrics using a standard plunger. Overall, puncture resistance testing plays a vital role in ensuring the long-term durability and reliability of geotextilesin demanding engineering applications.&nbsp;The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=AGS-X2">Shimadzu AGS-X2 series Universal Testing Machine </a>is a high-precision universal testing system designed for accurate evaluation of mechanical properties such as tensile, compression, and puncture resistance. It features advanced control technology, high data acquisition rates, and reliable load measurement, ensuring consistent and reproducible results. The system is operated using TRAPEZIUMX-V software, enabling efficient test control, data acquisition, and analysis that complies with national and international standards.<h4>2. Test Method&nbsp;</h4>The test was conducted on the non-woven geotextile using the AGS-50kNX2D UTM, shown in the Figure 1. Two different samples (1000 and 400 GSM) were procured from the market and five specimens were prepared from various areas of each sample. Table 1 shows testing apparatus and test conditions and Figure 2 shows the typical clamping and loading system.<h4>4. Conclusion</h4>The test results are consistent across multiple specimens and exhibit gradual deformation behavior. This indicates that the material can withstand high penetration forces without sudden failure, demonstrating its ability to effectively resist localized stresses.&nbsp;Geotextiles are available in different GSM values, representing mass per unit area and directly influence their mechanical and physical performance. Lower GSM geotextiles are lighter, flexible and lower thickness making them suitable for applications involving moderate loads. In contrast higher GSM geotextiles are thicker and denser, offering significantly higher puncture resistance and making them suitable for heavy duty applications.&nbsp;The Shimadzu’s universal testing machine AGS-X2 series demonstrated accurate, stable, and repeatable performance for conducting puncture resistance testing in accordance with ASTM D6241 and ISO 12236. The system provided precise control of crosshead speed, reliable load measurement, and clear identification of the initial peak load as required by the standard. The high-resolution load–displacement data acquisition enabled accurate determination of puncture strength and displacement at maximum force. Overall, the Shimadzu system ensures compliance with ASTM D6241 and ISO 12236 requirements and offers a dependable solution for quality control, research, and material comparison of geotextiles.¨<h3>3. Thermo Fisher Scientific: Small parts analysis with the Niton Apollo LIBS Analyzer</h3><ul><li>Other document (Smart note)</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/small_parts_analysis_with_the_niton_apollo_libs_analyzer_sn1608_en_c69d4c0695.pdf">Full PDF for download</a></li></ul>Small parts and precision components are critical to product quality and safety. Their limited surface areas and complex geometries make them some of the most challenging items to analyze accurately. Traditional optical emission spectroscopy (OES) delivers excellent accuracy but often lacks the portability needed for challenging environments.&nbsp;The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2000">Thermo Scientific™ Niton™ Apollo™ Handheld Laser-Induced Breakdown Spectroscopy (LIBS) Analyzer</a> changes the equation by delivering accurate analysis of steel and stainless steel in a portable format.<h4>A lower cost of ownership, with repeatability and reliability you can trust&nbsp;</h4>For industries where a single incorrect part can have significant consequences, consistency is crucial. The Apollo analyzer delivers the dependable features you need, in a unit designed to save users time and money over the long term:&nbsp;<ul><li>Carbon detection – Detects carbon for equivalent carbon content (C.E.) for welding &amp; L/H grade ID of stainless steel&nbsp;</li><li>Efficient argon use – Optimized purge minimizes gas consumption.&nbsp;</li><li>Reduced downtime – Portable OES-like accuracy eliminates long lab lead time.</li><li>Rugged durability – Field-ready build lowers repair and replacement costs.&nbsp;</li><li>Ease of training – Intuitive interface reduces errors and onboarding costs.</li><li>Designed to perform – Reliable data across a wide range of finishes and geometries&nbsp;</li></ul>By combining technical performance with durability and efficiency, the Apollo analyzer delivers the lowest total cost of ownership in its class.&nbsp;<h4>Conclusion&nbsp;</h4>The Niton Apollo LIBS analyzer sets the standard for small parts analysis. With its unique argon seal and updated small nose design, it delivers repeatable, OES-like accuracy unmatched by any other handheld LIBS device for the analysis of steel and stainless-steel including carbon. Add in a lower total cost of ownership, and the Apollo analyzer becomes the clear choice for manufacturers and inspectors who demand precision, reliability, and value.

News from LabRulezICPMS Library - Week 25, 2026

Article

Application

Academy

Scientific article

Science and research

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

Eurachem

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.

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Agilent Technologies

Bruker

Shimadzu Corporation

Two years have passed since we hosted our first microplastics symposium.
Since then, the microplastic landscape has witnessed significant developments—the impending release of the first ISO standard and ongoing advancements in SOPs. We are pleased that we can bring you together with experts in our field.
This digital conference aims to explore various crucial topics related to the analysis of microplastics, covering areas such as sampling, sample preparation, analysis, and evaluation.
<h3>Highlights – Why you should attend</h3>
<h5>Stay updated on microplastic analysis</h5>
Gain insight into the latest advancements and challenges in microplastic analysis. This seminar covers essential aspects such as sampling, sample preparation, and analysis techniques like spectroscopy (ICP-MS) and chromatography (pyr/TED-GC/MS). 
<h5>Explore diverse applications</h5>
Discover the wide range of applications beyond microplastic analysis that can be addressed with a QCL-based IR imaging system like the LDIR 8700. Get an overview of its potential in areas such as materials, bio, and pharmaceuticals.
<h5>Take part in a live demo</h5>
Witness a live demonstration of an automatic microplastic analysis workflow. Experience firsthand how these techniques and technologies come together to address real-world challenges. Engage with Agilent experts who will answer any questions you may have.
<h5>Showcase your expertise</h5>
Actively participate by presenting your work and contributions in techniques like TED-GC/MS, pyr-GC/MS, and ICP-MS, which are crucial for microplastic analysis. Alternatively, highlight your knowledge of the versatile LDIR 8700 system, showcasing its applications in pharmaceuticals, material analysis, or bio sectors.
<h3>Agenda</h3>
<h5>09:00 Welcome Introduction &amp; Video of Geoff Winkett , Agilent Technologies</h5>
<h5>9:10 The World of Microplastics Up to Date an Overview</h5>
<ul>
<li>Andreas Kerstan (Agilent Technologies)</li>
</ul>
<h5>09:30 Hot news on Agilent LDIR, new developments, and future perspective</h5>
<ul>
<li>Wesam Alwan , Darren Robey (Agilent Technologies)</li>
</ul>
<h5>09:50 Release of Plastic Additives and Microplastic Particles from Different Consumer Products into Water under Accelerated UV Weathering Conditions</h5>
<ul>
<li>Lars Hildebrandt (Scientist, Helmholtz Zentrum Hereon)</li>
</ul>
Photodegradation of plastic products is known to accelerate weathering and the resulting release of chemical additives and particles to the environment, however these processes are complex. Here, eight different plastic consumer products were leached in double distilled water under exposure to strong ultraviolet (UV) light for ten days, and the chemical composition of the leachates was compared to their respective dark controls. The leachates and plastic particles were investigated with a wide battery of chemical analytical tools to broadly characterize the underlying processes and possible hazards. These covered (a) metal(loid) analysis, (b) microplastic analysis, (c) analysis of &gt;70 organic target analytes and (d) nontargeted screening of the extracts.
<h5>10:10 Identification of Polymers Using Machine Learning</h5>
<ul>
<li>Xin Tian (Scientific Researcher, KWR NL)</li>
</ul>
Microplastics and other polymers are found in the environment. For this reason, it is important to have reliable methods to identify them. Methods used to detect nano- and microplastics in the environment include Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, laser-directed infrared (LDIR) spectroscopy and thermogravimetric analysis (TGA)/pyrolysis. These measurement techniques can provide a lot of information, but sometimes require a database with a lot of high-quality data to compare measurement results. Machine learning (especially classification models) can help improve data processing and accuracy.
Recent research has looked at how machine learning can help improve the accuracy of identification with infrared spectroscopy. Different computer models were tested and examined to see if the accuracy increases and if it does not require an unreasonable amount of computing power and time. This research focused on finding an effective method for identifying polymers in the environment based on their mid-infrared spectroscopic signals.
Polymers are identified by infrared spectroscopy by comparing their spectra with spectra in a database/library. This works well for new polymers, which are clean and barely degraded. Since polymers from the environment are actually degraded, comparing their infrared spectra with spectra in the library is difficult. This is because the spectra in the library often have large deviations from the spectra of the measured polymers. Increasing the number of spectra in the library is not possible because the number of spectra of environmentally degraded polymers is almost infinite. The study therefore looked at whether the problem of small data sets can be addressed using machine learning. The research presents a data enrichment technique to generate spectra of degraded polymers from single spectra of a limited number of samples. Four models were tested using these spectra to identify polymers. The study shows that all the models achieve high success rates, thereby facilitating the identification of polymers from environmental samples. Moreover, the research shows that it is not necessarily the most advanced computer model (particularly deep neural network models) that yields the best results.
<h5>10:30 From the River to the Sea: Microplastics in Sediments of the Thames River</h5>
<ul>
<li>Friederike Strock (Postdoc, German Federal Institute of Hydrology)</li>
</ul>
Microplastics have been investigated for over 45 years especially in the marine environment, but only in the past years research has started to focus on freshwater environments. In the frame of the H2020 LABPLAS project, sediments along the course of the Thames river in its freshwater and estuarune part were studied in order to better understand the sources, transport, distribution and impacts of plastic pollution and to detect the amount of plastics transport via the rivers into the sea.
In the frame of the project, a winter and a summer campaign were conducted 2022 and samples taken from 6 sites within the study area. Sediment samples were taken with a Van Veen grabber from the edge of the river, wet sieved into different compartments (10 100 µm, 100 1000 µm, &gt;1000 µm), density separated and the organic matter digested. The plastics from the sediments were characterized with a Laser Direct Infrared (LDIR). The preliminary results reveal that microplastics are present in all samples. The amount of particles varies significantly between the sampling sites showing the importance of industrial emissions and cities.
<h5>10:50 Good Laboratory Practices to Characterize Microplastics Using Quantum-Cascade Laser Reflectance Absorbance Spectrometry</h5>
<ul>
<li>Jose Manuel Andrade Garda (Professor Analytical Chemistry, University of A Corunna)</li>
</ul>
The nowadays broad societal interest in microplastic pollution demands urgent responses and actions. For these be possible politicians must set rules which, in turn, are not possible at all without sound scientific data. Unfortunately, there is a general feeling that the experimental results obtained so far are not still fully comparable and, further, that the monitoring field where hundreds or samples are taken is not being fully considered. Scientific studies and future regulations depend critically on a reliable identification of the polymers (if any) that constitute the suspicious particles under study. Out of the various analytical techniques to characterize them a novel one based on reflectance-absorbance spectrometry, commercialized as LDIR, outstands. It uses a tuneablemid-IR quantum cascade laser (QCL) to imaging a reflective microscopy slide or a metal-coated filter in a remarkable small timeframe. This communication is meant to present best practice guides to overcome some obstacles/difficulties in routine measurements, and open a path for field monitoring; among them: the adequacy of the spectral range, the variation of the peak&#39;s intensities with the size of the particles; the speed of the analysis as a function of the instrumental setup; the criterion to identify unknown spectra (a tiered approach is finally suggested); and how to differentiate fibers and fragments semiautomatically. Also, an empirical dependence of the depth of penetration of the QCL laser in common plastic particles is approached first time.
<h5>11:10 Chemical Characterization of Microplastics using Pyrolysis-Gas Chromatography-Mass Spectrometry (Py-GC-MS)</h5>
<ul>
<li>Soledad Muniategui-Lorenzo (Pull Professor of Analytical Chemistry, University of A Corunna)</li>
</ul>
The implementation of monitoring programs for Microplastics requires reliable and standardisedmethods. Fourier Transform Infrared (FTIR) and Raman spectroscopy techniques are the most commonly used for Microplastics analysis. However, thermal analytical techniques are currently gaining popularity. This presentation focuses on the potential of mass-based thermal analytical techniques, in particular, Pyrolysis coupled with Gas Chromatography-Mass Spectrometry (Py-GC-MS), for the accurate qualitative and quantitative analysis of microplastics in environmental matrices. It outlines some advantages and good laboratory practices of this approach, the importance of method normalisation, and how it can provide detailed information on polymers and plastic additives.
<h5>11:20 Analysis of Fibrous Microplastics Using Laser Direct Infrared Imaging</h5>
<ul>
<li>Monique Greiner (Research Associate, Hohenstein Laboratories)</li>
</ul>
In the research field of microplastics the identification of their source is important in order to develop strategies to minimize the pollution. A major percentage of microplastics originates from textiles. One pathway into the environment are washing procedures because the textiles release fibers during the process. Therefore our aim was to find a fast and easy way to identify fibers. In our presentation we want to give insights in our approach to the analysis of fibrous microplastics with the LDIR 8700. We will talk about our strategies, the results we achieved and difficulties we faced.
<h5>11:40 Looking beyond the Polymer: Using Thermal Desorption GC MS to expand our understanding of Microplastics</h5>
<ul>
<li>Jan Peter Mayser (Market Specialist, Markes International)</li>
</ul>
Detecting and analysingmicroplastics in the environment is challenging. The method must be able to detect and distinguish between a large variety of polymers. Additives, such as hardeners, flame retardants and preservatives, used during the manufacturing process and other compounds, that can adhere to the surfaces of microplastics from their environment, can affect their toxicity assessment. These additives could be used to link the microplastics found in the environment to their original use or potentially even back to the manufacturer.
In this study, various salts were sampled and filtered and analyzed for their microplastic content. TD–GC–MS was used to identify and measure which concentration of the plastic PS, PET, PVC and Nylon 6 had been incorporated into the crystalline structure of the salt during evaporation. By using direct desorption and backflushing technology, a large sample size could be easily isolated from the lab environment during analysis while ensuring a large range of volatile organic compounds (VOCs) including the marker compounds for four polymers could be trapped and analyzed.
The VOC-profile of the microplastics not only gave information about the polymer and its concentration within the sample, but further information about the toxicity could be extracted. This enabled the determination and tentative identification of additional compounds in the samples, such as dimethyl ether, acrolein and cyclopentane. These are used in the process of manufacturing plastics, so could assist with identifying the source of the plastics. For the four analysed polymers distinct marker compounds could be identified and calibration curves determined for each polymer. In all of the real-world salt samples microplastics were identified, highlighting the ubiquitous nature of the microplastic contamination.
This further information about the origin of the polymer, as well as the origin of the microplastic particles can be gathered by investigating the full VOC-profile obtained by TD-GC-MS. This allows both additional polymer information and particle source characterization.
<h5>12:00 Tiny Problems</h5>
<ul>
<li>Roxana Sühring (Assistant Professor in Analytical Environmental Chemistry, Toronto Metropolitan University)</li>
</ul>
Microplastics have been on the front page of newspapers, a dominant topic for environmental research (and funding), and a recent focus for regulatory action across the globe. Their potential impacts have been classed as a planetary boundary threat and new studies are published daily, reporting microplastics virtually anywhere on the planet. But despite numerous publications, there are still a lot of open questions on how to effectively and reproducibly characterize microplastics. How can microplastic characterization be automized? What is the impact of additives or weathering on the characterization accuracy?
In this presentation I will provide an overview and the first results of a research collaboration between Agilent technologies and the Emerging contaminants lab at Toronto Metropolitan University that works on addressing some of these questions. Our research aims to create a versatile microplastic library using weathered and new plastics commonly found in the environment. This library will additionally be used as a training set for developing automated particle characterization for the LDIR.
<h5>12:20 Identification of Microplastic Particles in Soil Using LDIR</h5>
<ul>
<li>Martine Graf, PhD (Student &amp; Senior Technician, Bangor University)</li>
</ul>
The use of agricultural plastic has become increasingly concerning in an environmental setting in recent years; in Europe alone, an estimated 2.5 million tones of plastic mulch films are used each year. The use of mulch films for crop production has been promoted by governments worldwide due to its many benefits, however the removal of these films from the soil can be difficult due to their poor mechanical strength and fragmentation, and barriers such as poor incentives for farmers and underdeveloped infrastructure for collection and disposal. The latter often leading to the films being discarded or incinerated along field margins, or ploughed back into the fields, leading to an accumulation of plastic legacy in soil. To evaluate the microplastic pollution levels in agricultural soils, we are i ) conducting a global soil survey in all partner countries; ii) assessing the degradation and fragmentation of conventional and biodegradable plastic mulch films in soil, and measuring the resulting microplastic production rate; and iii) measure the degradation and movement of microplastic in soil after repeated application. Microplastics are extracted from soil using targeted methods for different polymer types, and analysed using fluorescent microscopy, FTIR spectroscopy, and LDIR spectroscopy.
<h5>12:40 Wrap up and open discussion</h5>

Agilent Technologies: Agilent Microplastics Virtual Symposium 2023

Agilent Microplastics Virtual Symposium 2023

Explore various crucial topics related to the analysis of microplastics, covering areas such as sampling, sample preparation, analysis, and evaluation.

This webcast will consist of two parts. Part 1 will start off with a basic introduction to UV/Vis/NIR integrating spheres.
We will then consider samples, such as plastic films and colored Spectralon®, that illustrate how sphere diameter can impact spectral accuracy in both reflectance and scatter transmission measurements. This section will conclude with a look at how sample surface texture and sample placement against the sphere’s port, can result in unusual artifacts in the spectra.
Part 2 will discuss two novel integrating sphere applications within the rapidly growing technology field of nanomaterials.
Carbon nanotubes constitute a large arena of products where UV/Vis/NIR spectroscopy, employing an integrating sphere, is functional in both research and quality control. The webcast will conclude with a detailed look at the UV/Vis/NIR spectroscopy of butterfly wings. The colors on most butterfly wings do not arise from either dyes or pigments, but from nanostructures that physically diffract, rather than absorb light. As such, they represent an interesting platform to investigate the potential for spectroscopic materials characterization of nanostructures attached to surfaces.
<blockquote>
Presenter: Jeffrey L. Taylor, Ph.D. (Molecular Spectroscopy Guru, Industry Expert With Over 35 Years of Experience)
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Dr. Jeffrey L. Taylor received his Bachelor of Science degree from Georgia College and State University with dual majors in Physiology and Organic Chemistry. He obtained a Master of Science degree from the University of Georgia in Toxicology and later a Doctor of Philosophy degree from the same school in Biochemistry and Spectroscopy.
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<blockquote>
He has spent his career of over 35 years with major spectroscopy instruments manufacturers, mainly working as Field Product Specialist and Senior Staff Scientist. Areas of expertise include technical support of sales, customer support/training, applications design and development, software specification/evaluation, and instrumental design and evaluation. He is the author of numerous application notes, conference presentations and webcasts, and holder of several patents.
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Dr. Taylor, although retired, maintains his desire to contribute to the field. He is currently a consultant for Shimadzu Scientific Instruments to assist with sales support, application support and development of web-based educational resources.
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Presenter: Sudhir Dahal, Ph.D. (Product Manager - Molecular Spectroscopy, Shimadzu Scientific Instruments)
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Sudhir Dahal is Product Manager of Molecular Spectroscopy group at Shimadzu Scientific Instruments, USA. He joined the company after obtaining his PhD from University of Maryland Baltimore County (UMBC), where he researched and collaborated on developing novel spectroscopy-based technique for brain tumor cell detection. At Shimadzu Scientific Instruments, he and his group are responsible for overall sales support of molecular spectroscopy products in North America, Central America and parts of South America. The products include UV-Vis-NIR, FTIR, Fluorescence spectrophotometers and accessories.
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His everyday responsibilities include, but are not limited to, teaching classes to sales/technical support engineers and customers, producing scientific literatures, researching new products and applications, representing Shimadzu at conferences and promoting the products through various marketing campaigns.
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Shimadzu: Plastic Films, Fabrics, Nano Particles, and Butterfly Wings: Novel, “Outside the Box”, Uses For UV/Vis/NIR Integrating Spheres

Plastic Films, Fabrics, Nano Particles, and Butterfly Wings: Novel, “Outside the Box”, Uses For UV/Vis/NIR Integrating Spheres

Basic introduction to UV/Vis/NIR integrating spheres. Two novel integrating sphere applications within the rapidly growing technology field of nanomaterials.

Plastic Films, Fabrics, Nano Particles, and Butterfly Wings

Most people think solutions in a cuvette when referring to spectrophotometers; however, in the world of materials characterization, rarely are solutions the primary sample.
Here the samples can be anything from solid, creams, gels, particle suspensions, films, and in some cases actual human beings (sunscreen characterization). These samples all have one thing in common, they are impossible to dilute. The materials characterization high performance spectrophotometer must have the ability to measure high absorbance values (8 to 10 absorbance units). Instrumental parameters that are crucial to measuring materials characterization samples are stray light, noise, resolution, and scan speed. In this presentation we will address how these inter-related parameters influence measurement success.
Most measurements for the above-mentioned samples are not of the simple transmission type. Reflection, both specular and diffuse, and scatter transmission measurements abound in the world of materials characterization. It is vital that the proper accessory be employed to match the measurement desired. This presentation will address the function of integrating spheres and how they can be used to measure both diffuse reflection and transmission. Also discussed will be the difference between a relative and absolute reflection measurement. Finally, an overview will be given of important accessories related to the materials characterization marketplace. Register now!
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Presenter: Jeffrey L. Taylor, Ph.D. (Molecular Spectroscopy Guru, Industry Expert With Over 35 Years of Experience)
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<blockquote>
Dr. Jeffrey L. Taylor received his Bachelor of Science degree from Georgia College and State University with dual majors in Physiology and Organic Chemistry. He obtained a Master of Science degree from the University of Georgia in Toxicology and later a Doctor of Philosophy degree from the same school in Biochemistry and Spectroscopy.
</blockquote>
<blockquote>
He has spent his career of over 35 years with major spectroscopy instruments manufacturers, mainly working as Field Product Specialist and Senior Staff Scientist. Areas of expertise include technical support of sales, customer support/training, applications design and development, software specification/evaluation, and instrumental design and evaluation. He is the author of numerous application notes, conference presentations and webcasts, and holder of several patents.
</blockquote>
<blockquote>
Dr. Taylor, although retired, maintains his desire to contribute to the field. He is currently a consultant for Shimadzu Scientific Instruments to assist with sales support, application support and development of web-based educational resources.
</blockquote>
<blockquote>
Presenter: Sudhir Dahal, Ph.D. (Product Manager - Molecular Spectroscopy, Shimadzu Scientific Instruments)
</blockquote>
<blockquote>
Sudhir Dahal is Product Manager of Molecular Spectroscopy group at Shimadzu Scientific Instruments, USA. He joined the company after obtaining his PhD from University of Maryland Baltimore County (UMBC), where he researched and collaborated on developing novel spectroscopy-based technique for brain tumor cell detection. At Shimadzu Scientific Instruments, he and his group are responsible for overall sales support of molecular spectroscopy products in North America, Central America and parts of South America. The products include UV-Vis-NIR, FTIR, Fluorescence spectrophotometers and accessories.
</blockquote>
<blockquote>
His everyday responsibilities include, but are not limited to, teaching classes to sales/technical support engineers and customers, producing scientific literatures, researching new products and applications, representing Shimadzu at conferences and promoting the products through various marketing campaigns.
</blockquote>

Shimadzu: UV/Vis/NIR Spectroscopy in the Arena of Materials Characterization Research and Quality Control: How Instrumental Performance and Accessories Define Success

UV/Vis/NIR Spectroscopy in the Arena of Materials Characterization Research and Quality Control: How Instrumental Performance and Accessories Define Success

The function of integrating spheres and how they can be used to measure both diffuse reflection and transmission.

UV/Vis/NIR Spectroscopy in the Arena of Materials

The integrating sphere accessory is the most frequently used accessory on UV/Vis/NIR instruments.
With an integrating sphere, one can measure just about any sample type including, solids, liquids, gels, creams, films, particle suspensions, skin, and other biologicals. In addition, samples that are turbid, cloudy, semi-transparent, or opaque can be easily measured as well. Integrating spheres are the Swiss Army Knife of spectroscopy. The ability to understand the measurement techniques of spheres is key to the evaluation of spectrophotometric materials characterization data.
The most common question materials characterization spectroscopists ask themselves is, “How do I measure this sample?” They ponder this as they are looking some unusual sample, like a rock or even a cockroach. And yes, they can both be measured with an integrating sphere accessory!
This webcast will consist entirely of spectra from a series of example samples that cover the range of specular and diffuse reflectance/transmission characteristics. We will concentrate on the decision-making process of how to measure these different sample types with both the stand-alone instrument and integrating sphere accessary. Included will be a detailed discussion of how to evaluate spectral data from the various sphere measurement formats. This webinar will also cover all the basic measurement configurations of integrating spheres and how to properly evaluate the sample’s material properties from collected spectra.
<blockquote>
Presenter: Jeffrey L. Taylor, Ph.D. (Molecular Spectroscopy Guru, Industry Expert With Over 35 Years of Experience)
</blockquote>
<blockquote>
Dr. Jeffrey L. Taylor received his Bachelor of Science degree from Georgia College and State University with dual majors in Physiology and Organic Chemistry. He obtained a Master of Science degree from the University of Georgia in Toxicology and later a Doctor of Philosophy degree from the same school in Biochemistry and Spectroscopy.
</blockquote>
<blockquote>
He has spent his career of over 35 years with major spectroscopy instruments manufacturers, mainly working as Field Product Specialist and Senior Staff Scientist. Areas of expertise include technical support of sales, customer support/training, applications design and development, software specification/evaluation, and instrumental design and evaluation. He is the author of numerous application notes, conference presentations and webcasts, and holder of several patents.
</blockquote>
<blockquote>
Dr. Taylor, although retired, maintains his desire to contribute to the field. He is currently a consultant for Shimadzu Scientific Instruments to assist with sales support, application support and development of web-based educational resources.
</blockquote>
<blockquote>
Presenter: Sudhir Dahal, Ph.D. (Product Manager - Molecular Spectroscopy, Shimadzu Scientific Instruments)
</blockquote>
<blockquote>
Sudhir Dahal is Product Manager of Molecular Spectroscopy group at Shimadzu Scientific Instruments, USA. He joined the company after obtaining his PhD from University of Maryland Baltimore County (UMBC), where he researched and collaborated on developing novel spectroscopy-based technique for brain tumor cell detection. At Shimadzu Scientific Instruments, he and his group are responsible for overall sales support of molecular spectroscopy products in North America, Central America and parts of South America. The products include UV-Vis-NIR, FTIR, Fluorescence spectrophotometers and accessories.
</blockquote>
<blockquote>
,His everyday responsibilities include, but are not limited to, teaching classes to sales/technical support engineers and customers, producing scientific literatures, researching new products and applications, representing Shimadzu at conferences and promoting the products through various marketing campaigns.
</blockquote>

Shimadzu: Measuring Diverse Samples With UV-Vis-NIR Spectrophotometer: An Example Workflow and Evaluation Methodology for Integrating Spheres

Measuring Diverse Samples With UV-Vis-NIR Spectrophotometer: An Example Workflow and Evaluation Methodology for Integrating Spheres

Spectra from a series of example samples that cover the range of specular and diffuse reflectance/transmission characteristics.

Measuring Diverse Samples With UV-Vis-NIR Spectrophotometer

As we all know, the need for efficient and sustainable energy storage solutions has never been greater. With the increasing demand for electric vehicles, and storage of renewable energy, the battery industry together with academic institutes are constantly evolving and pushing the boundaries of what is possible.Bruker is at the forefront of this innovation, providing cutting-edge technologies and solutions for battery research and manufacturing. In this webinar, we will explore the latest developments in Bruker's technology and how they can be applied to optimize battery performance, reduce costs, and accelerate the path towards a cleaner energy future.Join our 75 minutes experts discussion as they dive into the fascinating world of batteries and discover how Bruker is shaping the future of it.Key Learning Topics:<ul><li>You will learn about a complete portfolio of technologies applied to battery research and production, including AFM, NMR, EPR, MS, FTIR, XRD, XRF, XRM, RAMAN, EDS and EBSD. These technologies represent the excellence of Bruker's analytical tools and are complementary in their applications. They are used in various ways to help researchers and manufacturers understand how batteries work, how they can be improved, and how they can be produced and recycled more efficiently.</li></ul>Who Should Attend?<ul><li>Battery manufacturers</li><li>Research and development organizations</li><li>Academic institutions</li><li>Material science organizations</li><li>Electrochemical and analytical chemistry organizations</li><li>Testing laboratories involved in battery research and development.</li><li>Government agencies involved in renewable energy and sustainability.</li><li>Investors interested in the battery market.</li><li>Battery technology experts and engineers</li></ul><blockquote>Presenter: Andrea Steck Ph.D. (Principal Scientist - Bruker BioSpin (Ettlingen, Germany))Andrea Steck joined BBIO Germany in 2010 to perform contract services, then stepped into food profiling development, acted as Quality Manager (ISO-17025), and now is responsible for supporting, developing, and driving AIC-DEV projects as Principal Scientist.Andrea holds a PhD in Chemistry (TU Munich). She gained extensive experience in NMR pulse sequence development and structure elucidation (Berne, Switzerland), and in leading an analytical (NMR/MS/IR) laboratory in big pharmaceutical industry (Vienna, Austria). She then joined Bruker Austria as Manager Pursuant to Trade Law, responsible for contract services and customer acquisition.Presenter: Hugues Guérault (Application Manager – Bruker Advanced X-Ray Solutions (Karlsruhe, Germany))Hugues Guérault joined Bruker in 2002 as Application Scientist. He is now leading Bruker AXS application team and manages worldwide the activities of the application laboratories for equipment demonstrations and customer training.Hugues holds a PhD in Material Science from Le Mans University (France) and made a post-doc at the University of Leuven (Belgium). Overall, he has acquired more than 25 years of experience in material characterization using X-ray diffraction.Presenter: Peter De Wolf, PhD (Sr. Director AFM Technology Development &amp; Applications, Bruker Nano Surfaces &amp; Metrology, Santa Barbara, CA, USA)Joined Bruker after obtaining Ph.D. in Electrical Engineering from the University Leuven &amp; IMEC, Belgium in 1998 focused on the development of novel AFM characterization methods. Author and co-author of over 40 publications related to property characterization using AFM, and co-inventor of several AFM methods. In his role, Peter is responsible for developing, driving, and leveraging new technology and applications for Bruker’s AFM Instrumentation.Presenter: Ph.D. Bob Galvin, FRSC (Vice President BAMS, Bruker Daltonics, London, UK)Bob Galvin obtained his PhD using mass spectrometry to investigate novel catalytic reactions and since then has always been involved in this technology. &nbsp;He joined Bruker eleven years ago and has held a number of executive positions during this period.Presenter: Rebecca Keller (Scientific Content Creator – Bruker Scientific LLC (Billerica, MA, USA))Rebecca joined Bruker Scientific in 2022 to support scientific content creation for applied markets as well as research and academia. Thanks to her extensive experience in crafting content for chemistry e-learning platforms, she excels at presenting complex ideas with exceptional clarity and precision.Rebecca graduated in Chemistry at the University of Oregon in 2019 and has since sought to improve scientific communication by producing content across multiple platforms.Presenter: Michele Gironda (Head of Global Segment Management – Bruker Nano Analytics (Berlin, Germany))Michele Gironda joined Bruker in 2017 when Bruker acquired XGLab where he was Director Sales and Marketing. He is now our Head of Global Market Segment Management in the Nano Analytics Division. In his role Michele manages worldwide activities for the key strategic market segments in cooperation with sales, marketing, application and product managers.Michele holds a Master Degree in Engineering obtained with his studies in Politecnico di Milano (Italy) and Universitat Politecnica de la Catalunya in Barcelona (Spain).</blockquote>

Bruker: Shaping the future of batteries: Bruker technologies across the entire value chain

Shaping the future of batteries: Bruker technologies across the entire value chain

Join our 75 minutes experts discussion as they dive into the fascinating world of batteries and discover how Bruker is shaping the future of it.

Bruker technologies - Shaping future of batteries

As cosmetic formulations grow more complex and regulations tighten, ensuring product safety, compliance, and sustainability requires advanced analytical solutions. This webinar brings together expert-led sessions and real-world insights that cover three key challenges: raw material testing, nanoparticle characterization, and fragrance allergen analysis.<ul><li>New Standard XP CEN ISO/TS 19590:2024 – Characterization of Nano-Objects Using Single Particle ICP-MS. Application to Cosmetics: Explore the ISO/TS 19590:2024 standard, and hear from guest speaker Mathieu Menta (UT2A) who will present its applications in cosmetics, highlighting both technical and regulatory perspectives.</li><li>Raw Material Testing Through Bags &amp; Closed Containers with the Vaya Handheld Raman System: Discover how innovative spatially offset Raman spectroscopy (SORS) technology &nbsp;allows non-destructive identification &nbsp;through transparent and opaque packaging—eliminating sampling waste, improving productivity, and supporting ISO 22716 GMP compliance and sustainable practices.</li><li>Analysis of Fragrance Allergens: Following European Regulation 2023/1545: Learn how Agilent’s GC/TQ workflow helps cosmetics manufacturers comply with new allergen regulations by reliably identifying and quantifying fragrance allergens—even in complex formulations—while minimizing false results.</li></ul><h5>Key learning objectives:</h5><ul><li>Learn how to verify raw materials directly through packaging using Raman spectroscopy to eliminate sampling and reduce waste</li><li>Apply ISO/TS 19590:2024 for accurate characterization of nanoparticles in cosmetic formulations using single-particle ICP-MS</li><li>Gain practical insights from a customer case on implementing spICP-MS for nano-object analysis under real regulatory and quality constraints</li><li>Quantify fragrance allergens in complex cosmetic matrices with high selectivity and sensitivity using GC/TQ</li><li>Enhance analytical workflows by minimizing sample handling, reducing false identifications, and improving compliance with current regulations</li></ul><h5>Who should attend?</h5><ul><li>QC/QA professionals in cosmetics and pharmaceuticals</li><li>Regulatory and compliance managers</li><li>Analytical scientists, chemists and lab managers</li><li>R&amp;D teams</li><li>Anyone involved in nanoparticle characterization, raw material verification, or cosmetic testing</li></ul><blockquote>Presenter: Hansel Koelblen (Application Engineer - GC &amp; GC/MS, Agilent Technologies)Hansel has worked with GCMS instrument for almost 10 years. He joined Agilent in 2017, first as a Field Service Engineer and now holds the position of France GC &amp; GC/MS Application Engineer.Presenter: Thibault Brule (Product Specialist – Molecular Spectroscopy, Agilent Technologies)Thibault Brule is Molecular Spectroscopy Product Specialist. He joined Agilent Technologies on November 2024. His main role is to provide applicative and technical support to the network on UV-Vis-NIR, FTIR and Raman spectroscopies.Presenter: Yolande Abdelnour (Product Specialist - Atomic Spectroscopy, Agilent Technologies)Yolande Abdelnour holds a Ph.D. in Chemical and Plasma Process Engineering from “Ecole Supérieure de Chimie” in Paris and “University of Paris Sorbonne”. She worked as a research engineer at “Photowatts” for 3 years and then joined Varian in 1997 as European ICP-MS product specialist. Since 2010, she occupies within Agilent Technologies the position of Product Specialist for the Atomic Spectroscopy techniques including Atomic Absorption, Microwave Plasma, Inductively Coupled Plasma coupled to Optical Emission Spectroscopy, Single Quad and Triple Quad Mass Spectrometry.Presenter: Mathieu Menta (Application Engineer, Ultra- Trace Analyses Aquitaine (UT2A) - Pau)Mathieu Menta is Applications Engineer at UT2A since 2011. He is responsible for the physico-chemical characterization of nanomaterials and the speciation of trace elements by elemental mass spectrometry. He is also involved in project management and quality assurance. He has co-authored several scientific publications, notably on the quantification of nanoparticles in food, cometics ans pharmaceutics using spICP-MS and on the rapid and accurate determination of elemental impurities in pharmaceutical products using a combination of standard addition and isotope dilution methods</blockquote>

Agilent Technologies: Characterization in Cosmetics: Nano-Objects ISO 19590:2024, Raw Material & Fragrance Allergens

Characterization in Cosmetics: Nano-Objects ISO 19590:2024, Raw Material & Fragrance Allergens

Ensure safety and compliance in cosmetics with insights on raw materials, nanoparticles, and allergens. Discover cutting-edge tools like ICP-MS and Raman SORS.