<h3>Introduction</h3><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_From_Raw_Signals_to_Reliable_Results_Post_Acquisition_Data_Workflows_in_ICP_Analysis_f7248bb920.jpg" alt="Thermo Fisher Scientific: From Raw Signals to Reliable Results: Post-Acquisition Data Workflows in ICP Analysis" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_From_Raw_Signals_to_Reliable_Results_Post_Acquisition_Data_Workflows_in_ICP_Analysis_f7248bb920.jpg 245w," sizes="100vw" width="1024" height="512">Modern elemental analysis techniques such as ICP-OES and ICP-MS are capable of generating large volumes of highly sensitive, multi-dimensional data in a single analytical run. These technologies are widely used across environmental, pharmaceutical, food, and materials science applications due to their precision and low detection limits. However, while significant emphasis is often placed on method development, instrument optimisation, and sample preparation, the true scientific value of any analysis is ultimately determined during the post-acquisition phase. It is here that raw instrumental signals are processed, interrogated, and validated before being translated into meaningful and defensible results. Whether you are working with the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products?category=227&amp;instrumentationItems=84&amp;manufacturerItems=3&amp;search=iCAP+PRO">iCAP PRO ICP-OES</a>, the&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products?category=232&amp;manufacturerItems=3&amp;search=iCAP+MX">iCAP MX ICP-MS</a>, the iCAP 7000 OES, or Qnova ICP-MS systems, the interface and workflow logic remain familiar.<h3>Method</h3>Following data acquisition, analysts must first navigate and organise complex datasets efficiently. Large analytical sequences may contain hundreds of samples, each with multiple analytes, replicates, and quality control elements. Tools such as column sorting and filtering are therefore essential for structured data interrogation. Sorting concentration values, for example, allows rapid identification of extreme values or potential outliers, while filtering by sample type, QC category, or analyte enables targeted investigation of specific data subsets. These tools support not only workflow efficiency but also statistical awareness, helping analysts detect trends, inconsistencies, or anomalies that may otherwise go unnoticed. In parallel, maintaining a complete LabBook history ensures that all changes to methods, calibration parameters, and analytical settings are recorded. This level of traceability is essential for regulatory compliance, particularly in environments operating under ISO standards or Good Laboratory Practice, and it ensures that results can be reproduced and audited with confidence.A fundamental aspect of post-acquisition processing is the application and evaluation of correction models. ICP-based techniques are inherently susceptible to a range of interferences, including background signals, spectral overlaps, and matrix-induced signal suppression or enhancement. Blank subtraction is typically the first correction applied, removing contributions from reagents, solvents, and instrument background. By comparing results with and without blank correction, analysts can assess the significance of background contributions, particularly at low concentration levels. In ICP-OES, Inter-element correction (IEC) addresses spectral interferences by mathematically compensating for overlapping emission lines, which is especially important in complex matrices containing multiple elements.&nbsp;For ICP-MS, correction equations can be similarly implemented to correct for the presence of an isobaric interferences of mass signals.Internal standard (IS) correction is another critical component, used to normalise signal fluctuations caused by instrument drift, variations in sample introduction, or matrix effects. Reviewing data with these corrections toggled on and off provides valuable diagnostic insight, allowing analysts to determine whether corrections are appropriate and whether the underlying method is robust.While processed concentration data is the primary output of most analyses, deeper insight can be gained by examining the underlying signal intensities. Replicate measurements, for instance, provide a direct assessment of analytical precision. Consistent replicate signals indicate stable measurement conditions, whereas significant variation may suggest issues such as sample heterogeneity, nebuliser instability, or matrix interference. Similarly, blank intensities can reveal contamination or insufficient rinsing between samples, often serving as an early indicator of systematic error. In ICP-OES, spectral sub-array views allow analysts to visualise the emission profile around a selected wavelength, enabling verification of peak shape, background correction points, and potential spectral overlaps. In ICP-MS, attention must be given to detector behaviour, particularly when signals transition between pulse and analog modes at higher concentrations. Such transitions can introduce non-linearity into calibration curves, sometimes necessitating cross-calibration to maintain quantitative accuracy.Calibration is central to transforming raw signal intensity into quantitative concentration data, and its evaluation is one of the most critical steps in the workflow. Several performance indicators are used to assess calibration quality. The coefficient of determination (R²) provides a measure of how well the calibration model fits the data, though a high R² alone does not guarantee accuracy. Bias offers insight into systematic deviations between expected and measured values, highlighting potential issues with standards or instrument response. Detection limits, including the limit of detection (LOD) and instrument detection limit (IDL), define the sensitivity of the method, while background equivalent concentration (BEC) reflects the contribution of background signal to the overall measurement. A comprehensive calibration assessment requires consideration of all these parameters together, rather than reliance on a single metric. In addition, quality control samples—such as calibration check standards (CCVs), certified reference materials (CRMs), and matrix spikes—are used to verify accuracy and method performance. Automated flagging of QC results that fall outside predefined acceptance criteria provides an efficient means of identifying non-compliant data and supports rapid decision-making.Equally important is the evaluation of instrument performance through diagnostic readbacks recorded during the analysis. These parameters provide insight into the physical and operational state of the instrument at the time of measurement. For ICP-MS, key readbacks include nebuliser gas pressure, vacuum levels, and interface conditions. Changes in these parameters can indicate issues such as partial blockages, salt deposition, or vacuum degradation. Similarly, plasma-related parameters and gas flow stability are critical indicators in both ICP-OES and ICP-MS systems. By correlating readback trends with analytical results, analysts can identify the root causes of anomalies, distinguish between instrument-related and sample-related issues, and take corrective action where necessary. This diagnostic capability is particularly valuable when troubleshooting unexpected results or when sharing data with technical support teams for further investigation.Once the data has been thoroughly reviewed and validated, the final step is to export and communicate the results in a clear and usable format. Structured reporting tools enable the generation of comprehensive summaries that include concentration data, calibration details, quality control results, and any associated flags or annotations. These reports are essential for documentation, regulatory submissions, and communication with stakeholders. For greater flexibility, exporting data in CSV format allows integration with external tools such as spreadsheet software, statistical analysis platforms, or laboratory information management systems (LIMS). This interoperability facilitates advanced data analysis, long-term data storage, and seamless integration into broader laboratory workflows.<h3>Conclusion</h3>In conclusion, post-acquisition data processing is not merely a procedural step but a critical component of the analytical workflow that determines the reliability and scientific validity of results. Through careful organisation of data, rigorous application of correction models, detailed evaluation of calibration performance, and continuous monitoring of instrument diagnostics, analysts can ensure that their results are both accurate and defensible. As analytical technologies continue to evolve and datasets become increasingly complex, the importance of robust and systematic data evaluation will only grow. Mastery of these workflows transforms raw instrumental signals into high-quality scientific information, underpinning confident decision-making across a wide range of applications.<h3>Acknowledgement</h3>I would like to thank&nbsp;Matthew Gregory&nbsp;Field Applications Scientist, North EMEA, Trace Elemental Analysis and&nbsp;David Fishwick&nbsp;Field Applications Scientist, North EMEA, Trace Elemental Analysis for the support on this blog and the webinars.Sign up for our webinars live and on demand.English<ul><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5795">Lunch and Learn Tips and Tricks Series: Qtegra Part 1</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5976">Lunch and Learn Tips and Tricks Series: Qtegra Part 2</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5977">Lunch and Learn Tips and Tricks Series: Trace Elemental Analysis (ICP-OES &amp; ICP-MS)</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5978">Trace Elemental Analysis: Ask the Expert</a></li></ul>Deutsch<ul><li>19. März 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179134/393E071E3B501943730958BA6203F477">Interne Standards in der ICP-OES: Ein Praxisguide für zuverlässige Qualitätssicherung im Labor</a></li><li>18. Juni 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179292/AE4C576B6A54D1AC182F7F77573D380F">Fehler reduzieren, Durchsatz steigern: Autoverdünnung mit PrepFast am ICP-MS</a></li><li>17. September 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179423/B5019C560431BADCA2A76E54E4EFE56F">ICP-OES smarter nutzen: Probendurchsatz erhöhen, Ressourcen sparen</a></li><li>17. Dezember 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179530/94EEDD1F56138F5EEE2AF24E29E6C12A">Qtegra ISDS Software Unlocked – Live im Expertengespräch</a></li></ul><blockquote>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#AnalyticalChemistry #ICPMS #ICPOES #DataAnalysis</blockquote>

From Raw Signals to Reliable Results: Post-Acquisition Data Workflows in ICP Analysis

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 18th May 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 brochure by MILESTONE and application notes by Shimadzu and Thermo Fisher Scientific!<h3>1. MILESTONE: <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?search=ETHOS+LEAN+">ETHOS™ LEAN</a> Compact Microwave Labstation</h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Brochure_ETHOS_LEAN_1_c80f4403a4.pdf">Full PDF for download</a></li></ul>Sample preparation is the foundation of many analytical workflows, and often the most critical step. In elemental analysis, proper digestion ensures accurate and reproducible results with AAS, ICP, and ICP-MS by enabling complete recovery of target elements, minimizing interferences, and reducing blanks. With over 35 years of innovation and more than 30,000 microwave systems installed worldwide, Milestone is a global leader in microwave sample preparation. The ETHOS LEAN, now in its 2nd series, represents this expertise: a compact, affordable labstation delivering full digestion capabilities without compromise. Beyond digestion, ETHOS LEAN supports solvent extraction for chromatography, solvent-free extraction of natural products, and even microwave synthesis workflows, offering unmatched versatility in its class. Selecting the right system is more than a purchase decision: it’s choosing a partner. With Milestone, you gain not only proven technology but also the knowledge and support to ensure long-term success.<h4>BUILT FOR MORE THAN DIGESTION</h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?search=ETHOS+LEAN+">ETHOS LEAN</a> goes beyond digestion. As a compact Microwave Labstation, it supports a suite of accessories that expand its capabilities into multiple workflows. Microwave technology provides a faster, cleaner, and more efficient alternative to conventional sample preparation techniques, reducing processing time, simplifying operations, and minimizing reagent consumption.&nbsp;<h5>Solvent extraction</h5>Closed-vessel microwave technology streamlines extraction for chromatographic analysis, dramatically reducing solvent use and cutting analysis times. Ideal for organic pollutant extraction from environmental samples or fat determination in food and feed.<h5>Solvent-free extraction</h5>Patented Milestone technology enables fast and efficient essential oil extraction in just minutes, preserving aroma and natural composition while minimizing degradation. Selective heating promotes a quicker, more efficient release from plant cells.<h5>Microwave synthesis</h5>Microwave synthesis is a safer and faster alternative to heating mantles or complex reactors, enabling rapid optimization of conditions. Its speed supports research projects and allows practical teaching sessions within standard class times.<h5>High-temperature processes</h5>With the ultraFAST accessory, ETHOS LEAN reaches 1200 °C in just minutes, transforming into a microwave furnace for demanding high-temperature applications such as inorganic synthesis, fusion, or fire assay.<h3>2. Shimadzu: Discriminating between Microsamples of Similar Resins with a Combination of FTIR and Thermal Analysis Instruments</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01114_en_a9291de45e.pdf">Full PDF for download</a></li></ul><h4>User Benefits</h4><ul><li>Using the ATR method with FTIR spectroscopy enables simple and rapid qualitative analysis of polymers.</li><li>DSC analysis may be able to reveal differences in polymer thermal histories that cannot be confirmed by FTIR alone.</li><li>TG-DTA can be used to confirm the content level of inorganic additives in polymers</li></ul>A wide range of polymer resins is used in modern society for diverse applications, resulting in increasing demand for qualitative analysis of resin microsamples, such as identifying resin contaminants in products or qualitatively evaluating microplastics for environmental impact assessments. FTIR spectrophotometers are commonly used for qualitative analysis of polymers. In particular, the ATR (attenuated total reflectance) method is widely used because measurements can be performed simply and quickly by clamping a sample against a prism to ensure close contact.&nbsp;While the ATR method makes it relatively easy to discriminate between different types of polymers, clear differences may not appear when analyzing similar polymers—for example, when there are only slight differences in the type or content of additives or the thermal histories during manufacturing. In such cases, differences may be confirmed by using thermal analysis instruments, such as a DSC or TG-DTA system.&nbsp;This article describes an example in which three instruments— an <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=IRSpirit-TX">IRSpirit-TX</a> FTIR spectrophotometer, a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=DSC-60+Plus">DSC-60 Plus</a> differential scanning calorimeter, and a DTG-60 simultaneous DTA-TG unit (Fig. 1)—were used to confirm differences among six microsamples of polypropylene (PP) resin.<h4>Conclusion</h4>Details of the six types of PP resin identified from the above measurement results are shown in Table 4. The results indicate that by using an FTIR spectrophotometer in combination with thermal analysis equipment, such as DSC and TG-DTA systems, it is possible to distinguish between minute amounts of the same type of resin with various different properties.<h3>3. Thermo Fisher Scientific: XPS depth profiling of advanced solar cells with femtosecond laser ablation</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/xps_depth_profiling_advanced_solar_cells_appnote_7bda4471a5.pdf">Full PDF for download</a></li></ul>Perovskites are an emerging class of materials in the solar cell industry, exhibiting a number of promising properties, such as improved efficiency and weight, compared to traditional silicon-based devices. X-ray photoelectron spectroscopy (XPS) is an established tool in solar cell research due to its ability to provide extremely surface-sensitive information about elemental composition along with chemical and electronic states.¹ XPS is ultimately a surface analysis technique, however, and in order to assess the full composition of complex, multi-layered structures such as solar cells, a technique known as depth profiling is necessary, which performs multiple rounds of successive material removal and analysis.&nbsp;This application note explores a recent study by Chandler et al. that focuses on solar cells designed for aerospace applications,² where accurate determination of the “true” starting composition of the stacks is essential for tests that simulate space conditions, such as radiation exposure. Without a reliable baseline, it becomes impossible to distinguish between changes induced by the experimental conditions and artifacts introduced during analysis. Conventional ion beam sputtering methods used for depth profiling are known to distort chemical information for perovskites; femtosecond laser ablation (fs-LA) is presented as a novel, alternative method that helps to preserve vital chemical information.<h4>Experimental</h4>A halide-perovskite-based solar cell was fabricated on an ITO/SnO₂ substrate using a spin coating method; the structure of the layers is shown in Figure 1.Analysis was performed with the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2206">Thermo Scientific™ Hypulse™ Surface Analysis System</a>, which is equipped with both traditional ion-beam sputtering and femtosecond-laser ablation capabilities. XPS data was collected in SnapShot acquisition mode using an X-ray spot size of 30-200 µm, depending on the method of depth profiling.&nbsp;A MAGCIS ion gun was employed for the sputter depth profiles, generating either a 500 eV monatomic Ar⁺ beam or 8 keV Ar₁₅₀⁺ clusters. The fs-LA depth profiles were generated using a 1,030 nm wavelength laser operating at a 160 fs pulse length. The pulse energy was increased from 42 µJ to 167 µJ when transitioning from the perovskite layer into the substrate structure. A flood gun was employed for charge neutralization during profiling.<h4>Summary&nbsp;</h4>This study confirms the challenges associated with traditional ion sputtering (both monatomic and cluster) for the depth profiling of perovskite-based solar cells. These methods cause preferential sputtering, particularly of lighter elements like carbon, nitrogen, and iodine, which distorts elemental ratios in the profiles and results in artificial signals, such as the formation of metallic lead (Pb⁰). Depth profiling with femtosecond laser ablation represents a novel and robust alternative that preserves the original chemical composition and oxidation states throughout the perovskite layer. By avoiding preferential removal effects, accurate compositional information is maintained during the profile, and erroneous peak signals associated with chemical reduction are eliminated. These factors are vital in establishing a chemically undisturbed baseline before performing tests that simulate environmental effects on the solar cells.&nbsp;With fs-LA depth profiling, any induced changes can be confidently delineated from analytical artifacts, and researchers can better understand and mitigate environmental effects on solar-cell performance, eventually leading to improved solar technologies for aerospace applications.

News from LabRulezICPMS Library - Week 21, 2026

In February of this year, a GAČR project focused on high-speed scanning probe microscopy was launched. Over the next three years, scientists from CEITEC Brno University of Technology (BUT), in collaboration with the Czech Metrology Institute (CMI), will work to accelerate measurement processes using this technique and to improve the analysis of the acquired data with the help of custom-developed artificial intelligence algorithms. The research results will find applications in both scientific and industrial practice, for example, in monitoring live cells or in chip manufacturing.High-speed atomic force microscopy is a field that allows scientists to study the properties of surfaces of various materials. They use microscopes equipped with a miniature tip and probe only a few nanometers (a millionth of a millimeter) in size, which repeatedly glide along regular paths across the sample surface. The scanned area is on the order of micrometers – smaller than a human red blood cell – and the surface shape is recorded with precision comparable to the distance between individual atoms. The probe scans the surface, enabling scientists to obtain highly detailed images with extremely high resolution. Such measurements usually take only a few minutes, but even that can be too long in some cases,&nbsp;especially for samples that change over time, such as living biological materials, as well as non-living materials whose changes are of interest. Addressing this challenge is the core of the GAČR project, officially titled High-Speed Atomic Force Microscopy with Sparse Sampling.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_BUT_CEITEC_Scientists_Aim_to_Increase_High_Speed_Microscopy_Up_to_Fivefold_a30ca0e27e.jpeg" alt="CEITEC BUT: CEITEC Scientists Aim to Increase &quot;High-Speed Microscopy&quot; Up to Fivefold " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_BUT_CEITEC_Scientists_Aim_to_Increase_High_Speed_Microscopy_Up_to_Fivefold_a30ca0e27e.jpeg 150w," sizes="100vw" width="1600" height="1666">“Our joint work aims to speed up the scanning process by optimizing the path along which the microscope tip moves, so that only truly useful data is measured. At the same time, we want to develop an algorithm capable of evaluating images without the need for an intermediate step of reconstructing data from the omitted parts of the surface,” says principal investigator Petr Klapetek from the Czech Metrology Institute (CMI). He points out that conventional high-speed scanning produces hundreds of images across the entire surface, but for samples that change rapidly over time, the probe may miss the area of interest at a critical moment. Changes occurring within milliseconds may therefore not be captured continuously, and important details can be lost. Researchers worldwide have been seeking ways to speed up scanning, usually by modifying microscopes so that the tip moves faster. However, mechanical acceleration increases error rates, for example, due to excessive vibrations. “Since we are aware of the inherent limits of scanning microscopy, we decided to take a completely different approach and tackle the problem through smarter measurement rather than major hardware modifications,”&nbsp;Petr&nbsp;adds.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_BUT_CEITEC_Scientists_Aim_to_Increase_High_Speed_Microscopy_Up_to_Fivefold_3_86682e0c39.jpeg" alt="CEITEC BUT: CEITEC Scientists Aim to Increase &quot;High-Speed Microscopy&quot; Up to Fivefold " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_BUT_CEITEC_Scientists_Aim_to_Increase_High_Speed_Microscopy_Up_to_Fivefold_3_86682e0c39.jpeg 208w," sizes="100vw" width="1600" height="1200"><h4>Software-based acceleration to overcome design limits</h4>One of the main tasks of the project will therefore be to design new scanning paths. These will remain regular but will be arranged in entirely different patterns to maximize the amount of information obtained in minimal time. Combined with more efficient data processing, this approach could increase scanning speed by up to five times. “Data processing is absolutely crucial for us. We need to develop AI algorithms capable of analyzing and interpreting images directly from such sparsely sampled grids, without needing to know what happened in the unmeasured areas. That will likely be our biggest challenge,” adds co-investigator David Nečas from CEITEC BUT. CEITEC BUT will be responsible for designing the scanning patterns and developing the necessary mathematical methods, while the experimental part – including all measurements and testing – will take place at the CMI.The outcome of this three-year collaboration should be a comprehensive theoretical methodology supported by experimental procedures. It could be used, for example, in biological laboratories studying changes in the behaviour of living samples – typically cells – over time. It may also find applications in semiconductor labs, where high-speed scanning microscopy is used mainly for quality control and defect detection during chip production. The method can measure not only the shape and surface structure of a sample, but also its electrical and other properties. “In practice, it could eventually become part of specialized industrial applications, where high-speed scanning microscopes perform imaging and evaluation almost in real time within inspection lines,” concludes David Nečas.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CEITEC_BUT_CEITEC_Scientists_Aim_to_Increase_High_Speed_Microscopy_Up_to_Fivefold_2_de02ff2fb2.jpeg" alt="CEITEC BUT: CEITEC Scientists Aim to Increase &quot;High-Speed Microscopy&quot; Up to Fivefold " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CEITEC_BUT_CEITEC_Scientists_Aim_to_Increase_High_Speed_Microscopy_Up_to_Fivefold_2_de02ff2fb2.jpeg 208w," sizes="100vw" width="1600" height="1200"><blockquote>Brno University of Technology is also currently collaborating with the <a target="_blank" rel="noopener noreferrer" href="https://cmi.gov.cz/?language=en">Czech Metrology Institute</a> and other academic and industrial partners on the European project <a target="_blank" rel="noopener noreferrer" href="https://www.ptb.de/epm2024/dinamo/project">DINAMO</a>, which focuses on developing data-processing methods for calibrating all types of scanning probe microscopes. The team at BUT, led by principal investigator David Nečas, is working on standardizing these methods so that even scientists who are not specialists in this type of microscopy can easily set up the instruments themselves and measure their samples as accurately as possible.</blockquote>

CEITEC Scientists Aim to Increase "High-Speed Microscopy" Up to Fivefold 

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Since its establishment in 2011, CEITEC has quickly developed into a cutting-edge infrastructure for research which performs highly alongside the best institutes in Europe. Among the main priorities of CEITEC are the promotion of a motivating and dynamic international scientific environment, the provision of state-of-the-art research infrastructure, and the policy of open communication and equal opportunities.

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Agilent Technologies

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.

Join Us For This Innovative Oligo Virtual Event
Join some or all of the sessions over 13 &amp; 14 March.
In recent years a renewed interest in synthetic oligonucleotides has been piqued due to their potential in biochemical research and for therapeutic applications. This popularity has meant a growing need to develop robust approaches for analysis and purification of oligos, alongside an increased understanding of this class of compounds.
Across 2 days this educational virtual event will share key learnings around the analysis of synthetic oligonucleotides, providing expert insights from research discovery to production QA/QC. We invite you to join along with other scientists in this important field to revisit oligo fundamentals, discover tips and tricks, ask questions to experts, and discuss recent innovations in this fast-moving environment.
<h4>Agenda:</h4>
<h4>Day 2</h4>
<h5>10:00 - More details to follow</h5>
<h5>10:45 - Oligonucleotide and Biopharmaceuticals Raw Materials Identification by Raman SORS and UV-VIS Thermal Melt Identification</h5>
<ul>
<li>Paolo Scardina, Spectroscopy Product Specialist, Agilent Technologies</li>
</ul>
<h5>11:30 - Analysis of Elemental Impurities in Synthetic Oligonucleotides by ICP-MS</h5>
<ul>
<li>Sebastien Sannac, Atomic Spectroscopy Product Specialist, Agilent Technologies</li>
</ul>
<h5>11:55 - Exploring the Applications and Innovations of Gas Chromatography-Mass Spectrometry (GC-MS) in Biopharmaceuticals</h5>
<ul>
<li>Soma Dasgupta, Applications Engineer, Agilent</li>
</ul>
<h5>12:20 - Oligonucleotide Purity Analysis - Oligo Pro II</h5>
<ul>
<li>Leslie Friedmann, Product Manager, Agilent Technologies</li>
</ul>
<h5>13:05 - End of presentations</h5>

Agilent: OligoConnect: Linking Science, Innovation, and Therapeutics

OligoConnect: Linking Science, Innovation, and Therapeutics (Day 2)

Across 2 days this educational virtual event will share key learnings around the analysis of synthetic oligonucleotides.

OligoConnect: Linking Science, Innovation, and Therapeutics

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.

ICPMS webinars focusing on ICP/MS - page 1