In the week from February 16, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Thermo Fisher Scientific: The Perfect Pair for GMP Compliance – IonicX and TruScan for Raw Material Identification and Verification</h5><ul><li>Tu, 17.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5835">Registration</a></li></ul>Learn how the IonicX™ Portable XRF Analyzer enables rapid, at-line identification of ionic salts in GMP manufacturing, delivering real-time PASS/FAIL results and streamlined raw material verification.<h5>2. Milestone: Reliable Mercury Analysis in Environmental Samples – Tools, Techniques, and Best Practices</h5><ul><li>Th, 19.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5804">Registration</a></li></ul>Episode 3 focuses on reliable mercury analysis in environmental samples, demonstrating how direct analysis simplifies workflows, reduces contamination risks, and delivers accurate results without digestion.<h5>3. Agilent Technologies: Learn How to Confirm Your Data on ICP-OES – Are You Getting the Right Result?</h5><ul><li>Th, 19.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/2785">Registration</a></li></ul>This webinar discusses accuracy and precision in ICP-OES analysis and practical strategies to ensure reliable and defensible results.

Webinars LabRulezICPMS Week 08/2026

Metalloproteins play essential roles in marine phytoplankton, yet their metalloproteomes remain poorly characterized. This study combines protein modeling, quantitative proteomics, and ICP-MS measurements to assess metal requirements across several phytoplankton species, including chlorophytes, a haptophyte, and a cyanobacterium.Results show strong agreement between proteome-inferred metal demands and measured cellular metal quotas, while providing deeper insight into biological functions. Mg-containing proteins were most abundant overall, with Zn, Fe, and Mn as dominant trace cofactors. Distinct differences between prokaryotic and eukaryotic phytoplankton were observed, and strain-level analysis demonstrated how metalloproteomes reflect environmental adaptation and metal limitation strategies.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233">Unlocking Phytoplankton Metallomes with Comparative Analysis of Metal Quotas, Quantitative Proteomics, and Inferred Metalloproteomes</a></h4>Qiong Zhang*, Jiayou Ge, Fengjie Liu, Shabaz Mohammed, Kedong Yin, and Rosalind E. M. RickabyEnviron. Sci. Technol. 2025, 59, 50, 27367–27377<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.est.5c11233">https://doi.org/10.1021/acs.est.5c11233</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.Many important biological processes of phytoplankton, including photosynthesis, carbon fixation, and nitrogen reduction, rely on enzymes that have metals as cofactors. <a href="javascript:void(0);">(1)</a> It has been estimated that half of all enzymes must be associated with a particular metal to function. <a href="javascript:void(0);">(2)</a> The availability of metals in the environment has changed over geological time and, given imperfections in the selectivity of metal transport systems, proteins have evolved to make the best use of metals that are more available. <a href="javascript:void(0);">(3−5)</a> Depending on their evolutionary histories, different groups of marine phytoplankton may have differences in their metalloprotein compositions and metal transport strategies. The evolving trace metal availability in the environment, thus, may provide a selective pressure to promote the proliferation of different phytoplankton groups in the oceanic environment, affecting the phytoplankton community structure with knock-on effects on the marine food web and carbon sequestration. <a href="javascript:void(0);">(5)</a> It is crucial to understand the utilization of trace metals by different groups of marine phytoplankton that inhabit contrasting niches in the modern ocean, not only by assessing the accumulation of trace metals in cells but also examining the functions of trace metals in different biological pathways.In previous studies, the utilization or requirements of trace metals by marine phytoplankton were mostly determined by measuring the elemental stoichiometry in cells (metallome or quota of trace metals). <a href="javascript:void(0);">(6−8)</a> In the field, attempts have also been made to investigate the elements in phytoplankton <a href="javascript:void(0);">(9,10)</a> which have then been compared with profiles in the abiotic environment to understand their relationships. <a href="javascript:void(0);">(11)</a> The discovery of various metal storage proteins and the plasticity in elemental quotas under different environmental conditions raise the question of whether intracellular trace metal quotas reflect true differences in trace metal usage by phytoplankton. <a href="javascript:void(0);">(12,13)</a> In the past few decades, more and more studies have focused on metal–protein partnerships, using approaches such as genome-wide analysis to identify homologues of known metalloproteins and other deduced metal-binding motifs encoded within sequenced genomes. <a href="javascript:void(0);">(5,14)</a> However, this approach has limitations in estimating metal abundance in cells because not all genes predicted in the genome would be translated and expressed as proteins under all environments, and a single gene for a metalloprotein could be highly expressed, such that a translation from genetic presence to a required concentration is not linear and could be environment-dependent. To obtain in situ metal abundance in metalloproteins in cells, native separation of proteins by HPLC or PAGE followed by the detection of metals using ICP-MS <a href="javascript:void(0);">(15,16)</a> has been used. This approach also has limitations in that, without bioinformatics, it cannot identify the function of proteins within which the metals are found, and it may also depend on the composition of the media to which the organism has been exposed and in which it has been growing. An ideal way to solve the problem would be to separate and purify each of the proteins and then identify both the associated metal (e.g., by ICP-MS) and the protein sequence (e.g., by mass spectrometry). However, this approach is constrained by the resolution of chromatographic or electrophoretic techniques, making it challenging to establish the metal–protein associations unambiguously; many proteins often co-occur in metal-containing fractions. Additionally, this method requires huge volumes of biomass and is both time-consuming and complex, complicating the reconstruction of the expressed metalloproteome in cells. The techniques and challenges for metalloproteomics have been discussed in detail in previously published review articles (and the references therein). <a href="javascript:void(0);">(17)</a>In this study, we determined the trace metal utilization (the metallome) of different phytoplankton from their expressed proteome via a protein modeling and homologue identification approach, and then compared the resulting metallome with the metal quota data measured by the traditional inductively coupled plasma mass spectrometry (ICP-MS). This approach allows the building of a link between the truly used trace elements and their biological functions in phytoplankton. We aim to fill the gap between an estimation of metals encoded in the genome and metal analysis by ICP-MS in phytoplankton, which may be more broadly applicable to infer cellular metallomes.<h3>Materials and Methods</h3><h4>ICP-MS Analysis</h4>All preparation of samples for ICP-MS measurement was undertaken using trace metal clean methods. All plasticware used in this study, including culture flasks, pipette tips, and centrifuge tubes, was precleaned in 10% quartz-distilled HCl and thoroughly rinsed with 18 MΩ cm water in a clean laboratory. Trace elements in the filtered lysates of G. huxleyi (OA1, OA4, OA8, OA15, OA16, OA23, and RCC 1242) and Synechocystis (FACHB898) strains were measured using an ICP-MS. The detailed ICP-MS method and instrumental settings are described in Zhang et al. (2018). <a href="javascript:void(0);">(31)</a><h4>Protein Mass Spectrometry</h4>The peptides were resuspended in 5% formic acid and 5% DMSO prior to mass spectrometry. They were separated on an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=3&amp;search=Ultimate+3000+UHPLC">Ultimate 3000 UHPLC </a>system (Thermo Fisher Scientific) and electrosprayed directly into a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/559">Q-Exactive Mass Spectrometer</a> (Thermo Fisher Scientific) through an EASY-Spray nanoelectrospray ion source (Thermo Fisher Scientific). The peptides were trapped on a C18 PepMap100 precolumn (300 μm i.d. × 5 mm, 100 Å, Thermo Fisher Scientific) using solvent A (0.1% formic acid in water) at a pressure of 500 bar. The peptides were separated on an in-house packed analytical column (75 μm i.d. × 50 cm packed with ReproSil-Pur 120 C18-AQ, 1.9 μm, 120 Å, Dr. Maisch GmbH) using a linear gradient (length: 65 min, 15% to 35% solvent B [0.1% formic acid in acetonitrile], flow rate: 200 nL/min). The raw data were acquired on the mass spectrometer in a data-dependent mode (DDA). Full scan MS spectra were acquired in the Orbitrap (scan range 350–1500 m/z, resolution 70000, AGC target 3e6, maximum injection time 50 ms). After the MS scans, the 10 most intense peaks were selected for HCD fragmentation at 30% of normalized collision energy. HCD spectra were also acquired in the Orbitrap (resolution 17500, AGC target 5e4, maximum injection time 120 ms, isolation window 1.5 m/z) with the first fixed mass at 180 m/z. Charge exclusion was selected for unassigned and 1+ ions. The dynamic exclusion was set to 20 s.<h3>Results and Discussion</h3><h4>Trace Elements Determined from the Expressed Proteomes of Different Phytoplankton</h4>Based on the expressed proteome sequences, we predicted metal-binding proteins and compared their distribution among various phytoplankton species (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig2">Figure 2</a>). The inference revealed 28 different metals in G. huxleyi, 31 different metals in C. reinhardtii, and 30 different metals in Synechocystis. Although only 6 different metals were identified in O. tauri proteins, it has to be noted that the analysis for O. tauri was only based on the 40 most abundant proteins reported in this organism <a href="javascript:void(0);">(21)</a> and, hence, the listed elements, including Mg, Fe, Mn, Ca, Zn, and Cu, may represent the most essential metals for the species.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Environ_Sci_Technol_2025_59_50_27367_27377_Figure_2_The_number_of_metal_binding_proteins_identified_in_the_expressed_proteome_of_the_haptophyte_G_9b8ac0f004.jpeg" alt="Environ. Sci. Technol. 2025, 59, 50, 27367–27377: Figure 2. The number of metal-binding proteins identified in the expressed proteome of the haptophyte G. huxleyi (a), the chlorophyte C. reinhardtii (b) and O. tauri(c), and the cyanobacteria Synechocystis (d). Pie charts show the percentages of metalloproteins containing specific metals. Original proteome data for G. huxleyi are from Mckew et al. (2013) (24) for C. reinhardtii are from Hsieh et al. (2013) (77) for O.tauriare from Martin et al. (2012) (21) for Synechocystisare from Chen et al. (2018). (22) *Noted that for O. tauri, only the 40 most abundant proteins were included in this analysis. ND: no metal binding was found in the proteins." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Environ_Sci_Technol_2025_59_50_27367_27377_Figure_2_The_number_of_metal_binding_proteins_identified_in_the_expressed_proteome_of_the_haptophyte_G_9b8ac0f004.jpeg 123w," sizes="100vw" width="934" height="1181">The number of proteins that bind with different metals varies dramatically in phytoplankton. For metalloproteins, there are variations in the binding affinities of different metals to organic molecules. For example, the affinities of divalent metals to proteins have a tendency to follow a universal order of preference, namely the Irving-Williams series (Mg2+ and Ca2+ [weakest binding] &lt; Mn2+ &lt; Fe2+ &lt; Co2+ &lt; Ni2+ &lt; Cu2+ &gt; Zn2+). <a href="javascript:void(0);">(43)</a> Cells can simultaneously contain proteins having high-affinity-binding metals, such as Cu and Zn, and others that require uncompetitive metals, such as Mg and Ca. One of the least competitive metals for binding with biological chelators, Mg, is even found to be the most widely distributed metal in the metalloproteomes of various phytoplankton species in this study, supporting the observations of high concentrations in the protein fraction of cells (at millimolar concentrations <a href="javascript:void(0);">(31)</a>).In all phytoplankton species in our analysis, the Mg-containing proteins are found to have the highest proportion in all metalloproteins identified. About 30% of the metalloproteins in different strains of phytoplankton are found to contain Mg or depend on it for function (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig2">Figure 2</a>), suggesting the important role of Mg in phytoplankton cells. It is generally coordinated in protein complexes by ATP or ADP and has also been found to be largely distributed in the chloroplasts or thylakoids in G. huxleyi and Synechocystis. <a href="javascript:void(0);">(22,24)</a> The essential roles of Mg in plants have been reported in various studies. Mg2+ is known to be the central atom of the chlorophyll molecule, and its levels in the chloroplast regulate the activity of key photosynthetic enzymes. <a href="javascript:void(0);">(44)</a> It was reported that approximately 15–35% of total Mg is in the chloroplasts of a plant, <a href="javascript:void(0);">(45)</a> and it also serves as an osmotically active ion in the regulation of cells <a href="javascript:void(0);">(46)</a><h4>Comparison Between Metallome Measured Directly and Reconstructed from Proteins</h4>A large proportion of metals, such as Fe, Mn, and Cu, are found in membrane proteins,and may contribute significantly to total cellular quotas. <a href="javascript:void(0);">(54,55)</a> However, for method development purpose, we endeavored to remove the cell membranes from our samples to focus mostly on the analysis of intracellular metal quotas and metalloproteins in the cytosol fraction in this study. We note that our analysis includes some membrane-bound proteins likely derived from organelles or surface membranes disrupted during sonication.The derivation of cellular metal composition, as determined by two different methods, is compared in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>. The abundance of metal in the proteins is determined as the relative abundance of the protein multiplied by the number of metal ions needed for the specific protein. The abundance of the proteins was normalized to ensure that the total intensities from each replicate measurement for the same species were similar. Since the proteomic data used here were generated from different studies using different instruments, we cannot quantify or compare the absolute biomass of proteins used for each species. Therefore, we cannot compare the absolute trace metal abundance between species solely from metal inferences of expressed proteomes. Nevertheless, we can estimate the relative abundance of different metals in the same species. For the elements that are both measured by the ICP-MS and identified in the proteome, there are generally good correlations (r2 = 0.81 in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>a and r2 = 0.74 in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>b) between the two approaches. This indicates that the metal compositions determined from the protein modeling may be reliable and, therefore, can reflect the metal usage in different phytoplankton. This would provide a level of assurance to further investigate the metal binding associated with various proteins, thereby deepening our understanding of the roles that different metals play in phytoplankton.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Environ_Sci_Technol_2025_59_50_27367_27377_Figure_3_Relationship_between_the_abundance_of_metals_determined_by_ICP_MS_analysis_e7b259e376.jpeg" alt="Environ. Sci. Technol. 2025, 59, 50, 27367–27377: Figure 3. Relationship between the abundance of metals determined by ICP-MS analysis (normalized to C, mmol/mol C) and metal abundance determined from the metalloproteome analysis (the unit is arbitrary). To account for strain variations, the ICP-MS data for the cellular metal content of G. huxleyi are average values from 7 G. huxleyi strains isolated from different areas of the ocean, and the proteome-derived metal composition data are average values calculated from 2 of those G. huxleyi strains (OA1 and OA16) isolated previously, and data from Mckew et al., 2013. (24) The ICP-MS data for Synechocystis are from Synechocystis sp. FACHB898 measured in this study, and the proteome data are calculated from Chen et al., 2018. (22) Noted that the abundance of metals from each proteome was calculated by using the metal stoichiometry multiplied by the relative abundance of proteins, which provides only a relative relationship of different trace metals, not absolute abundance. The symbols represent the mean values, and the error bars indicate standard deviations." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Environ_Sci_Technol_2025_59_50_27367_27377_Figure_3_Relationship_between_the_abundance_of_metals_determined_by_ICP_MS_analysis_e7b259e376.jpeg 245w," sizes="100vw" width="1384" height="641">Compared to the other metals investigated in this study, Ca and Mg appear to have a much higher relative abundance in the ICP-MS analysis than in the proteomic analysis of G. huxleyi and Synechocystis (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>). These two elements are essential macronutrients for phytoplankton and plants. Ca is the most prominent secondary messenger that plays a crucial role in response to extracellular stimuli in all eukaryotes. Ca2+ fluxes are transported via Ca channels and transporters, such as Ca-ATPase, regulating a series of important biological functions, including mineral uptake and utilization, K+ homeostasis adjustment, and regulatory network activity in response to P or N deficiency. <a href="javascript:void(0);">(56)</a> Ca is not always incorporated into protein structures. The Ca abundance determined from the proteins in this study, therefore, is much lower than the actual Ca needed intracellularly. Similarly, the intracellular Mg2+ and K+ abundances should also be higher than those determined from the protein structures. Free Mg2+ and K+ are known to regulate cation–anion balance and serve as osmotically active ions in the regulation of cells <a href="javascript:void(0);">(46)</a> but free metal ion concentrations cannot be determined through the approach used in this study. Thus, it is not surprising to see much higher relative abundances of Ca and Mg in ICP-MS analysis than in proteomic analysis (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>).

Unlocking Phytoplankton Metallomes with Comparative Analysis of Metal Quotas, Quantitative Proteomics, and Inferred Metalloproteomes

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 16th February 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 application notes by Agilent Technologies, Metrohm, Shimadzu and Thermo Fisher Scientific!<h3>1. Agilent Technologies: Quality Assessment of Saffron by UV‑Vis Spectroscopy in Accordance with ISO 3632</h3>Integrated quantitative analysis using an <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+3500+UV-Vis">Agilent Cary 3500 UV-Vis</a> and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+UV+Workstation">Cary UV Workstation</a><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_saffron_uv_vis_cary_5994_8611en_agilent_92d74b2cbd.pdf">Full PDF for download</a></li></ul>Saffron is the world's most expensive spice, with its price per gram dependent on quality, origin, and purity. It is renowned for its vibrant color and distinctive flavor—attributes that contribute significantly to its culinary appeal. However, saffron's high market value and limited production make it vulnerable to adulteration, quality degradation, and mislabeling, all of which pose a risk to consumer health, safety, and trust.&nbsp;Ultraviolet-Visible (UV-Vis) spectroscopy is a rapid, reliable analytical technique suitable for assessing spice quality by quantifying bioactive molecular markers. In saffron, crocin is the carotenoid compound responsible for color intensity, picrocrocin is the primary bittering agent, and safranal is the key contributor to aroma.&nbsp;In this application note, we used an Agilent Cary 3500 UV-Vis spectrophotometer and Agilent Cary UV Workstation software to analyze a commercial saffron sample. The aim of the study was to grade the quality of the sample in accordance with ISO 3632-1:2025 and ISO 3632-2:2010 Spices — Saffron (Crocus&nbsp;sativus L.).1,2 These well-established industry standards provide specifications and test methods for the analysis of dried saffron, including filaments, cut filaments, and powder. The standardized test methods outlined in ISO&nbsp;3632-2 support the classification and quality evaluation of saffron. The methods relate to the determination of moisture and volatile matter content (clause 7), crushing and sieving of samples for tests (clause 10), and the determination of the main characteristics using a UV-Vis spectrometric method (clause 14). Based on these evaluations and the quality criteria defined in ISO 3632-1:2025, saffron samples can be categorized into four commercial grades: Extra Class (EC), I, II, and III, with EC indicating the highest quality. &nbsp;<h4>Experimental</h4><h5>Instrumentation&nbsp;</h5>The blank cuvette and aqueous extract of sample cuvette were loaded in the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+3500+UV-Vis">Agilent Cary 3500 Multicell UV-Vis</a> (Figure&nbsp;1), which was operated using the parameters listed in Table 1. The instrument is powered by a xenon flash lamp that requires no warmup time and enables a full spectrum scan to be collected in under a second. The lamp includes a 10-year replacement warranty, minimizing the frequency and cost of replacement. The Cary 3500's modular design approach enables the spectrophotometer series to be configured towards varying sampling flexibility and scalability needs. For single sample applications and laboratories with reduced bench-space, the Cary 3500 Compact UV-Vis allows a user to measure a single sample and reference in ambient or temperature-controlled configuration. This application can also be conducted on the Cary 3500 Flexible UV-Vis, which has a larger-sized compartment for liquid and solid sample measurements, and for use with accessories.<h4>Conclusion&nbsp;</h4>The Agilent Cary 3500 Multicell UV-Vis spectrophotometer combined with <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+UV+Workstation">Agilent Cary UV Workstation software</a> provided precise quantification of color, taste, and aroma through the measurement of crocin, picrocrocin, and safranal compounds, respectively. The method supports the quality assessment of saffron in accordance with the ISO 3632 industry standard, enabling reliable grading of commercial samples while also flagging potential cases of adulteration, degradation, or mislabeling.&nbsp;The Cary 3500 UV-Vis uses a reliable, long-lasting xenon flash lamp that requires no warmup time, allowing immediate operation and acquisition of full spectral scans for blank and saffron samples in under a second. These capabilities support high-throughput analysis of spices through the precise measurement of compound-specific absorbance&nbsp;peaks.&nbsp;Using built-in spectral tools, automated calculations, and clear reporting features, the Cary UV Workstation significantly simplified the sampling-to-reporting workflow for saffron analysis. Customized calculations defined in ISO 3632 accelerate data processing and reduce calculation errors. The software also delivers results via a user-friendly interface, ideal for traceability.&nbsp;Together, the Cary 3500 UV-Vis and Cary UV Workstation delivered significant time-savings by minimizing time spent analyzing data and allowing more time for quality assurance of samples. The Cary 3500 system provides an efficient solution for the determination of the main characteristics saffron in accordance with clause 14 of ISO 3632-2:2010.<h3>2. Metrohm: Feed analysis with near-infrared spectroscopy (NIRS)</h3>Simple, fast multiparameter determination of animal feed<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_nir_127_download_b6b6969944.pdf">Full PDF for download</a></li></ul>Livestock production is a complex process involving many independent and integrated operations. According to the World Health Organization (WHO), the foundations for successful livestock production are the availability of animal feed and efficient feeding. Quality control (QC) of feed and feed ingredients is crucial to ensure the production of safe and nutrient-rich animal feed. Typical QC parameters measured during the production of feed are fat, moisture, protein, fiber, ash, and starch. However, analyzing these parameters is usually done with wet chemistry, requiring different time-consuming procedures, complex analysis methods, and costly chemical reagents. Near-infrared spectroscopy (NIRS) offers rapid and reliable prediction of fat, moisture, protein, fiber, ash, and starch content of different feed types in a few seconds without any sample preparation.<h4>EXPERIMENTAL EQUIPMENT</h4>Around 500 samples of feed (e.g., for poultry, swine, cattle, goats, and sheep) were analyzed on a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=56&amp;search=OMNIS+NIR">Metrohm NIR Analyzer</a>. All measurements were performed in reflection mode using the large cup. The samples were measured in rotation to collect spectral data from several areas. Spectral averaging of signals from various spots helped to reduce influences from sample inhomogeneity. Metrohm software was used for all data acquisition and prediction model development.<h4>CONCLUSION</h4>This Application Note demonstrates the feasibility to determine multiple key quality parameters of feed with NIRS analysis. Several analytical methods are usually required to measure starch, ash, fiber, protein, moisture, and fat in animal feed (Table 4). NIR feed analysis offers an easier alternative with high accuracy and real-time results.<h3>3. Shimadzu: Online TOC Measurement for Ultra-pure Water in Semiconductor Industries</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01068_en_169a321574.pdf">Full PDF for download</a></li></ul><h4>User Benefits</h4><ul><li>Enables stable measurement of ultra-pure water with TOC concentrations below 1 μg/L.</li><li>The large color touch panel and compact body make operation easy.</li><li>The Active-Path structure, which integrates the lamp and sample flow path, enables high oxidation performance.</li></ul>The semiconductor manufacturing process involves various stages such as wafer production, film formation, photolithography, etching, and resist stripping, each of which involves cleaning steps. Even minimal contamination on the semiconductor surface can impact product quality and yield, making it crucial to effectively remove dirt and impurities during cleaning. For this reason, the purity of the cleaning water used in these cleaning processesis extremely important. The recent trend towards ever-smaller, higher-capacity semiconductors means that ultra-pure cleaning water, thoroughly free of organic and other impurities, has become essential.Typically, ultra-pure water is produced by first purifying tap or groundwater to produce pure water, and then further refining it into ultra-pure water. Impurities in water include organic and inorganic substances, particles, as well as microorganisms. Various methods, such as activated carbon filters, reverse osmosis (RO) membranes, ultraviolet lamps, and ion exchange resins, are used in combination to purify water into ultra-pure water.&nbsp;Maintaining the quality of ultra-pure water used for semiconductor cleaning is critical. The online TOC analyzer for ultra-pure water, TOC-1000e S (Fig. 1), enables highly sensitive TOC measurement with a detection limit of 0.02 μg/L using UV oxidation and conductivity measurement methods. This application presents the features and functions of the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=TOC1000e+S">TOC1000e S</a>, along with examples of online measurements of ultrapure water.<h4>Features of <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=TOC1000e+S">TOC-1000e S&nbsp;</a></h4>The TOC-1000e S is an ultra-compact device that can be installed on a tabletop, wall, or pole mount. The front panel features a large color touch panel that is highly visible even in dark environments, enabling easy operation. An excimer lamp (mercury-free) that emits high-energy ultraviolet light with a wavelength of 172 nm is used as the light source for the oxidation section. To ensure the oxidation of organic compounds, TOC-1000e S uses a unique structure called Active-Path, which integrates the excimer lamp and the sample flow channel. In a typical ultraviolet irradiation section, an air gap between the lamp and the sample flow channel results in inefficient ultraviolet light transmission and the generation of ozone within the device. However, in Active-Path, a sample flow path within the light-emitting part enables efficient irradiation of the sample with ultraviolet light while preventing ozone generation (Fig. 2).<h4>Conclusion&nbsp;</h4>TOC-1000e S enables the monitoring of TOC of ultra-pure water used in semiconductor manufacturing. The compact body and user-friendly interface assist usersin their routine operations.<h3>4. Thermo Fisher Scientific: Analyzing SiC/Co materials for radar absorption and EMI shielding using ARL X’TRA Companion XRD</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/sicco_materials_an41524_en_8ad5cc0d6f.pdf">Full PDF for download</a></li></ul>SiC–Co composites represent a new class of engineered materials designed to combine dielectric and magnetic loss mechanisms for effective absorption of electromagnetic radiation. By dispersing cobalt or cobalt ferrite phases within a silicon carbide or SiOC matrix, these composites achieve tunable permittivity and permeability, enabling efficient impedance matching across radar and microwave frequencies. For defense and aerospace applications, where low radar cross section and stable electromagnetic shielding are critical, such composites are attractive because they also retain thermal and mechanical stability beyond the capabilities of polymer-based absorbers.&nbsp;X-ray diffraction (XRD) plays a central role in the development and quality control of these materials. It allows unambiguous identification of SiC polytypes that influence dielectric behavior, while simultaneously detecting cobalt, cobalt oxide, or ferrite phases that govern magnetic response. XRD quantification provides insight into crystalline-to-amorphous ratios, crystallite size, and micro strain directly linked to electromagnetic performance and high-temperature durability. By correlating phase composition with measured S-parameters, researchers can optimize absorber formulations and processing conditions to achieve reliable, broadband EMI shielding.<h4>Instrument &amp; software&nbsp;</h4>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=3&amp;search=ARL%E2%84%A2+X%E2%80%99TRA+Companion">Thermo Scientific™ ARL™ X’TRA Companion X-Ray Diffractometer</a> (c.f. Figure 1) is a simple, easy-to-use benchtop instrument for routine phase analysis as well as more advanced applications. The ARL X’TRA Companion XRD uses a θ/θ goniometer (160 mm radius) in Bragg-Brentano geometry coupled with a 600 W X-ray source (Cu or Co). The radial and axial collimation of the beam is controlled by divergence and Soller slits, while air scattering is reduced by a variable beam knife. An integrated water chiller is available as an option. Thanks to the state-of-the art solid state pixel detector (55x55 μm pitch), the ARL X’TRA Companion XRD provides very fast data collection and comes with single-click Rietveld quantification capabilities and automated result transmission to a LIMS (Laboratory Information Management System) seamless integrated into Thermo Scientific™ SolstiX™ Pronto instrument control software.<h4>Your benefits&nbsp;</h4>The ARL X’TRA Companion XRD system delivers high-quality data in 10 minutes, enabling phase quantification, reliable identification of SiC polytypes, and advanced interpretation of anisotropic micro strain in Co. With the PONKCS method, the amorphous fraction can be quantified accurately. These structural insights directly link to physical properties such as dielectric–magnetic balance, EMI shielding efficiency, and radar absorption performance, providing a basis for fine-tuning materials to application needs.

News from LabRulezICPMS Library - Week 08, 2026

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TBS... Analýza elektrolytu a solí Li běžně používaných při výrobě Li baterií
<blockquote>
Presenter: Greg Gilleland (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Greg began his spectroscopy career in 1987 in Colorado, working at a series of environmental labs. After 14 years working in the world of commercial environmental labs, he moved on to a spectroscopy instrument manufacturer where he performed service and sales functions over the course of 11 years. He has been with Agilent Technologies, Inc., since 2012 in the role of Application Scientist for ICP-OES, MP-AES and AA products.
</blockquote>

Agilent Technologies: Analysis of Electrolyte and Li salts commonly used in Li Battery manufacturing

Analysis of Electrolyte and Li salts commonly used in Li Battery manufacturing

Analysis of Electrolyte and Li salts in Li Battery

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

FTIR Theory

The scary details of FTIR and data collection will be explained

<div><div>For thermal analysis and many other analytical techniques, accurate preparation and analysis of samples are crucial to obtaining reliable data. METTLER TOLEDO offers a comprehensive range of solutions for sample preparation to ensure the accuracy of your thermal analysis measurements.Join this live webinar for an introduction to METTLER TOLEDO’s thermal analysis (TA) techniques and the importance of good weighing practices for sample preparation.Program:&nbsp;<ul><li>Introduction to thermal analysis techniques</li><li>Sample preparation tips</li><li>Importance of weighing accuracy for thermal analysis measurements&nbsp;</li></ul><blockquote>Presenter: Dr. Michael Reber (METTLER TOLEDO)Dr. Michael Reber joined METTLER TOLEDO as a Product Manager in 2019, where he contributes to the thermal analysis department. His expertise encompasses a range of analytical techniques, including Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Thermomechanical Analysis (TMA), and Dynamic Mechanical Analysis (DMA). Prior to his tenure at METTLER TOLEDO, Dr. Reber earned his PhD in Chemistry from the University of Zurich. His doctoral research focused on the development and characterization of porous oxides, equipping him with a solid foundation in material science and analytical techniques.&nbsp;Presenter: Holly Nurre (METTLER TOLEDO)Holly Nurre is the Product Manager of Excellence Analytical and Microbalances at METTLER TOLEDO. Her background is in Industrial Engineering from The Ohio State University with experience in pharmaceutical scale-up and production, and user experience design.&nbsp;</blockquote></div></div>

Mettler Toledo: Sample Preparation for Thermal Analysis 

Sample Preparation for Thermal Analysis 

Join this webinar for an introduction to METTLER TOLEDO’s thermal analysis (TA) techniques and the importance of good weighing practices for sample preparation.

The implementation of new, efficient and adapted analytical procedures is a pressing need for the development and release of innovative new pharmaceutical products to ensure their efficacy and patient safety. The growing interest in complex drug modalities (small molecules, Biologics, ATMPs) demands ever more sophisticated analytics, while the rapidly evolving regulatory landscape calls for more advanced, technology- and data-driven approaches. This transformation involves all actors of the biopharma industry, from major pharmaceutical companies to CDMO and testing laboratories. New, agile, sustainable and integrated QC solutions are required to address these new challenges without compromising efficiency.Webinar OverviewWith the recent regulatory emphasis on deep analytical procedure understanding and life cycle management promoted by the Analytical Quality by Design framework, a shift from traditional quality control (QC) procedures to modern analytical approaches and technologies is required. While placing a strong focus on robustness and risk management, the recent ICH Q14 and revision R2 of ICH Q2 also introduce the concept of platform procedures, formally allowing flexibility and agility in the management of analytical procedures. Among these modern technologies, Nuclear Magnetic Resonance (NMR) stands out, able to address multiple needs, from raw material testing to finished products with inequivalent robustness and transferability. By relying on universal and intrinsically quantitative principles, NMR allows straightforward development and risk management, while technology-inherent justifications enable simplified validation, as highlighted in ICH Q2 (R2).What to ExpectLearn how NMR provides modern and robust solutions for QC, from early development to manufacturing environment. Discover how GMP-compliant end-to-end solutions based on NMR can address a wide range of qualitative and quantitative applications, from raw material testing to the control of critical quality attributes of high-value finished products, constituting an attractive alternative to traditional technologies.Key Learning Points<ul><li>Modern QC labs need advanced, integrated solutions to handle complex drug analytics and evolving regulations efficiently.</li><li>New regulatory framework introduced with ICH Q14 and Q2 (R2) emphasizes robust yet flexible QC procedures, requiring technologies like NMR for effective risk management and validation.</li><li>GMP-compliant NMR solutions offer robust, versatile QC applications, from raw material testing to high-value product quality control.</li></ul>Who Should Attend<ul><li>Innovation or scientific directors, analytical science experts and QC laboratory managers exploring new analytical solutions to solve their current analytical challenges, and address evolving regulatory requirements.</li><li>Analytical scientist involved in CMC and QC procedure development and implementation seeking to discover how NMR can streamline their development and validation workflows.</li><li>Scientist involved in regulatory affairs learning about implementation of modern QC technologies to fit recent regulation.&nbsp;</li></ul><div><blockquote>Presenter:&nbsp; Frédéric Girard, PhD. (Senior Director BioPharma Business Unit, Bruker Biospin)Frédéric is a chemist by training and holds a PhD in Molecular Biophysics from the University of Orleans / CNRS. He has been an entrepreneur in the analytical R&amp;D and testing industry for over 20 years, serving the biopharmaceutical sector. He founded Spinnovation Analytical in 2004, which was acquired by Eurofins in 2016. Besides analytical sciences, he has strong experience with GMP and environmental management systems. From 2016 to 2024, he was the managing director for Eurofins Spinnovation, and in 2020, he also joined the Senior Scientific Director program of Eurofins BPT Europe, covering the scope of NMR and solid-state characterization. He joined Bruker BioSpin at the end of 2024 as Senior Director for the Biopharma Business Unit, managing the biopharma market with the support of a team of solution product managers.Presenter:&nbsp; Dr. Valentin Poirier (Solutions Product Manager BioPharma, Bruker BioSpin)Valentin holds a Ph.D. in chemistry from the University of Rennes, focused on organometallic catalysis and polymers. He then joined the pharmaceutical industry and pivoted to the analytical field, focusing on NMR and MS. Over the past decade, he managed the NMR and MS analytical platforms of CROs (Albhades, Evotec). As a technical expert, he contributed to dozens of analytical projects development for pharmaceutical applications and quality control, with a customer-centric and problem-solving approach. He joined Bruker BioSpin in 2024 as a Solution Product Manager in the Pharma Team. In this role, he collaborates with the pharmaceutical industry to advance NMR solutions tailored for Quality Control, Compliance and the CRO/CDMO customers.</blockquote></div>

Bruker: Paradigm Shift in Analytical Development and Quality Control

Paradigm Shift in Analytical Development and Quality Control

Learn how NMR provides modern and robust solutions for QC, from early development to manufacturing environment.

In the pharmaceutical industry, all starting materials and the active pharmaceutical ingredients (APIs) of a drug product must be subjected to analytical identity (ID) testing as part of the release prior to their introduction into the pharmaceutical manufacturing process. For quality control laboratories in general—and particularly for a contract development and manufacturing organization (CDMO) handling a wide variety of materials—it is preferable to perform ID tests using a simple, fast, highly specific analytical method. This preference also applies to oligonucleotides, an emerging class of APIs, where a combined ID testing strategy should be applied, including intact mass determination and a sequence-specific method.After a short introduction to oligonucleotides, this webinar will focus on the sequence-specific method and provide a deep dive into the UV-spectrometric determination of the oligonucleotide melting temperature (Tm) using the Agilent Cary 3500 UV-Vis.Key Learning Objectives:<ul><li>Recognize the fundamentals of oligonucleotide melting temperature analysis</li><li>Identify analytical characteristics, potential pitfalls, and how to avoid them</li><li>Learn how the multicell peltier module add-on helps increase efficiency by collecting multiple samples simultaneously</li><li>Understand how an in-cuvette temperature probe with built-in magnetic stirrers improves data quality</li><li>Learn about software built-in features such as smoothing and derivative that can enhance data quality</li></ul>Who Should Attend:<ul><li>Analytical scientists and technicians interested in UV-Vis technologies</li><li>Researchers in oligonucleotides fields</li><li>Quality control specialists for ID testing</li><li>Laboratory managers interested in analytical innovations</li></ul><blockquote>Presenter: Alexandra H. Heussner, PhD (Laboratory Manager, Analytical Science Laboratory, Vetter Pharma)Presenter: Ann Thayer (Contributing Editor, C&amp;EN Media Group)</blockquote>

C&EN: Advanced Analytical Methods for Oligonucleotide ID Testing in Pharmaceuticals QC

Advanced Analytical Methods for Oligonucleotide ID Testing in Pharmaceuticals QC

This webinar covers oligonucleotides, sequence-specific methods, and UV-spectrometric Tm determination using the Agilent Cary 3500 UV-Vis.

Advanced Oligonucleotide ID Testing for Pharma QC

<header>Learn How X-ray Technology Enhances Safety and Quality in Packaged Products</header><main><div><div>Program<ul><li>Learn how to deliver product safety with effective contamination detection</li><li>Discover the latest advancements in x-ray technology for large packages</li><li>Understand how to maintain product quality and compliance</li><li>See the x-ray inspection systems in action</li></ul></div></div><div><div>Contaminated products pose a significant risk to both your consumers and your brand reputation. A reliable <a target="_blank" rel="noopener noreferrer" href="https://www.mt.com/cz/cs/home/products/Product-Inspection_1.html" title="Product inspection system">product inspection system</a> is essential for safely identifying and removing contaminated items and helping you maintain the highest quality standards.Traditionally, inspecting large or multi-pack products using&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.mt.com/cz/cs/home/products/Product-Inspection_1/safeline-x-ray-inspection.html" title="X-ray inspection systems">x-ray inspection</a> has been difficult. Of the x-ray systems available on the market, very few can accommodate the greater heights of big products – until now! Our new X6 Series is designed to inspect these larger size packages, so you can have peace of mind when it comes to the safety of your products.This session will showcase the&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.mt.com/cz/cs/home/products/Product-Inspection_1/safeline-x-ray-inspection/x6-series-xray.html" title="X6 Series X-ray Inspection">X6 X-ray Inspection Series</a> for packaged products so you can experience firsthand how advanced x-ray systems from METTLER TOLEDO can protect your products and customers while boosting productivity and streamlining compliance—all within a single solution.Don't miss this chance to enhance the safety and efficiency of your production line.&nbsp;Register now to secure your spot!&nbsp;</div></div></main><div><div>Target audience<div>Food Safety Managers, Production or Manufacturing Managers, IT Specialists, Global Food Retailers, Quality Control Specialists, Food Safety Specialists, Production &amp; Packaging, Operation Managers, CEOs, Change Management Agents, Quality Assurance Managers, Quality Assurance Operators.<ul><li>19. 3. 2025 9:00,&nbsp; English&nbsp;<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg"></svg></li><li>19. 3. 2025 15:00,&nbsp; English</li></ul><blockquote>Presenter: Adam Green (XR ePlatform Owner &amp; Market Manager)Since 2015, Adam has worked in various commercial and technical roles at METTLER TOLEDO. During that time, he facilitated the development of an online demonstration platform to provide technical support to customers due to the global change of working behaviors. He has worked with local markets to help the development of the sales teams that promote X-ray technology and its benefits to customers.</blockquote></div></div></div>

Mettler Toledo: X-ray Inspection for Medium to Large Packaged Products 

X-ray Inspection for Medium to Large Packaged Products 

Learn How X-ray Technology Enhances Safety and Quality in Packaged Products

Moisture determination in milk and milk products is crucial for ensuring product quality, safety, and regulatory compliance, as it affects texture, taste, and microbial stability. The moisture content in the products is used in calculating total solids for assessing product purity, yield, and consistency. Calculating dry basis results are vital for accurate constituent analysis, providing a standardized measure for comparing different products with varying moisture contents.&nbsp;Join us for an engaging discussion by Michael Jakob (LECO Sales, Germany) on Moisture Determination using the LECO TGM800.<blockquote>Presenter: Michael Jakob (LECO European Product Manager)</blockquote>

LECO: Protein Done Right with LECO - 1 Method, 1 Calibration, 1 Speed ... Fast 

Moisture Determination in Dairy and Liquid Dairy Products

Join us for an engaging discussion on Moisture Determination using the LECO TGM800.

Polymer manufacturers and processors are increasingly replacing wet chemical methods with non-destructive spectroscopic testing to ensure product quality. Near infrared (NIR) spectroscopy is particularly suited for quantifying key chemical and physical parameters such as moisture content, hydroxyl and acid number, melt flow rate, viscosity, and density, while Raman spectroscopy excels at characterizing chemical composition and identifying additives and impurities.In an upcoming webinar on March 19, Dr. Maria Cartes and Kristen Frano from Metrohm take a closer look at both technologies. Diverse application examples will demonstrate how polymer manufacturers can use NIR and Raman spectroscopy to achieve a deeper understanding of their materials, improve product quality, reduce waste, and enhance the overall efficiency of their quality control process.Maria and Kristen are joined by Dr. André Koch from Hauff-Technik, a leading manufacturer of sealing systems for cables, pipes, and building entries. André will explain how handheld Raman spectroscopy has helped Hauff-Technik establish a highly efficient solution for raw material identification (RMID).At the end of the webinar, all three presenters will be available to answer questions in a live Q&amp;A session.<h4>Key learnings of this webinar:</h4><ul><li>Understand the specific strengths of NIR and Raman spectroscopy for polymer analysis</li><li>Understand why these technologies are complementary in their capabilities</li><li>Learn how spectroscopy makes the entire polymer production process including quality control of the final product more efficient</li></ul><h4>Who should attend?</h4><ul><li>Lab technicians, lab managers and QC managers from the polymer industry</li></ul><blockquote>Presenter: Dr. Maria Cartes (Product Specialist Spectroscopy, Metrohm International Headquarters)Dr. Maria Cartes studied chemistry. After finishing her PhD studies on ethylene polymerization at the University of Seville (Spain), she moved to Switzerland to work as a postdoc. In 2021, Maria joined Metrohm, where she works as Product Specialist in the Competence Center Spectroscopy, providing international support and product training for NIRS.Presenter:&nbsp;Dr. André Koch (Head of quality management and management systems, Hauff Technik)André received his PhD in chemistry at the university of Ulm. He joined the nuclear industry for 7 years and then turned to the chemical industry, where he headed a physico-chemical GLP laboratory for pesticide analysis. Since 2018 André takes care of quality, environmental and occupational health and safety topics at Hauff-Technik, which is the leading company for wall insert technology.Presenter:&nbsp;Kristen Frano (Product Manager Spectroscopy, Metrohm Spectro)Kristen Frano joined B&amp;W Tek (a Metrohm company) in 2016 as an application scientist specializing in laboratory and handheld Raman instrumentation. Over the years, she has collaborated with users on diverse applications including polymers, art conservation, and pharmaceuticals. Since 2022 Kristen has been supporting laboratory Raman products throughout Metrohm as a product manager based at Metrohm Spectro in Plainsboro, NJ (USA).</blockquote>

Metrohm: Rethinking the quality control of polymers: The benefits of near-infrared and Raman spectroscopy explained

Rethinking the quality control of polymers: The benefits of near-infrared and Raman spectroscopy explained

Understand the specific strengths of NIR and Raman spectroscopy for polymer analysis and why these technologies are complementary in their capabilities.

Benefits of near-infrared and Raman spectroscopy explained

Join us for an insightful webinar on the critical role of product inspection systems, including checkweighers, metal detectors, and x-ray inspection, in modern manufacturing. Discover how these technologies ensure product quality and safety across various industries such as food &amp; beverage, pharmaceuticals, and consumer goods.Learn how they protect consumers by preventing contamination and reducing recalls, while also safeguarding brand image by maintaining high standards and building consumer trust. Gain practical knowledge on implementation best practices and hear real-world examples of successful integration. Enhance your understanding of these essential systems and their impact on manufacturing excellence and consumer safety.<blockquote>Presenter: Kim DurkotKim Joined Thermo Fisher Scientific in November 2021 as Field Marketing Manager for the Product Inspection business. In her role, Kim collaborates across multiple functions to enable our customers to accelerate production, improve consumer safety, and protect their brands. Kim has a BS in Marketing from Eastern Illinois University and an MBA from Olivet Nazarene University.</blockquote>

Thermo Fisher Scientific: The Critical Role of Product Inspection Systems in Manufacturing

The Critical Role of Product Inspection Systems in Manufacturing

Join us for webinar on the critical role of product inspection systems, including checkweighers, metal detectors, and x-ray inspection, in modern manufacturing.

Role of Product Inspection Systems in Manufacturing

<h5>Your lab’s data is at risk. Are you prepared?</h5>Scientific research today generates more data than ever before, but with that comes escalating risks—security breaches, compliance failures, and lost intellectual property. Mishandling this data doesn’t just slow down innovation—it can derail entire research projects and expose your organisation to costly regulatory penalties.Yet, cloud computing offers a powerful solution—if implemented correctly. Without a clear strategy, however, labs risk expensive missteps, vendor lock-in, and integration headaches with legacy systems.This exclusive online panel discussion will equip you with actionable strategies to:<ul><li>Safeguard sensitive research data in cloud environments while meeting IP protection and compliance requirements.</li><li>Develop a cloud adoption roadmap tailored to your research or lab operations.</li><li>Select the right cloud technologies in a crowded and complex market.</li><li>Future-proof your lab by preparing your data and research team for next-generation software.</li></ul>If you’re concerned about data security, implementation costs, or the challenge of modernising legacy systems, this webcast is a must-attend. Take control before the risks take control of you.<h5>Why Attend?</h5><ol><li>Gain Actionable Insights: Learn how cloud technologies can empower your lab team to achieve long-term research objectives.</li><li>Learn data protection requirements:&nbsp; Become familiar with what to take on board regarding privacy and IP protection.</li><li>Navigate a Competitive Market: Get expert advice on selecting tools that fit your lab's needs and budget.</li><li>Enhance Team Skills: Learn how to effectively train your staff to use cloud infrastructure in daily workflows.</li><li>See Real-World Success Stories: Hear examples of labs that have transformed operations through cloud-based data management.</li></ol><h5>Who Should Attend?</h5>This webcast is tailored to professionals seeking to optimise their lab’s operations through cloud technologies:<ul><li>Laboratory Managers or Directors: Optimise workflows and secure data.</li><li>Function and Department Managers: Enhance team productivity with cutting-edge tools.</li><li>IT Decision-Makers: Choose, implement, and manage cloud solutions effectively.</li><li>Data Scientists and Analysts: Leverage efficient tools for data analysis and storage.</li><li>Regulatory and Compliance Officers: Ensure compliance with industry and legal standards.</li><li>Research Scientists and Associates: Access secure, reliable, and user-friendly data storage systems.</li></ul><blockquote>Presenter: Matt Hazlewood (Vice-President and General Manager: Mass Spectrometry and Chromatography Software at Thermo Fisher Scientific)With more than 20 years of experience in enterprise software, Matt Hazlewood combines technical expertise with a passion for customer success. From his early career as a chemist to leading Thermo Fisher’s software business unit, Matt has a unique perspective on how cloud technologies can drive innovation and accelerate science.Presenter: Christopher Boone (Group Vice President of Health &amp; Life Sciences Research Services at Oracle Corporation)Christopher P. Boone, PhD, is a global executive and thought leader currently serving as Group Vice President of Health &amp; Life Sciences Research Services at Oracle Corporation. He brings extensive expertise in clinical research informatics, real-world evidence, and health equity from his previous leadership roles at AbbVie and Pfizer, alongside his academic position as an adjunct assistant professor at New York University. Chris has received numerous prestigious recognitions, including The DataIQ 100 Most Influential People in Data and the Top 50 Leadership Excellence Award, and serves on several influential boards, including the American Society of Hematology Research Collaborative and the Patient-Centered Outcomes Research Institute.Presenter: Andreas Steinle (Digital Integration Lead at PTD Penzberg)Andreas Steinle is an experienced digital transformation leader known for his extensive background in developing and implementing digital strategies at Roche and Genentech. In his recent roles, he has led initiatives in digital integration, strategic workforce planning, and the implementation of advanced technologies like AI and data platforms. His expertise spans various technologies, including Cloud, SaaS, LIMS, MES, and IIoT, and he has a strong background in managing complex software solutions and people development on a global scale.</blockquote>

Thermo Fisher Scientific: Cloud computing in the analytical lab–strategic risks, challenges and opportunities to consider

Cloud computing in the analytical lab–strategic risks, challenges and opportunities to consider

Learn how analytical labs can use cloud computing to protect data, meet compliance requirements, avoid vendor lock-in, and modernize research workflows.

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News from LabRulezICPMS Library - Week 08, 2026

Unlocking Phytoplankton Metallomes with Comparative Analysis of Metal Quotas, Quantitative Proteomics, and Inferred Metalloproteomes

Webinars LabRulezICPMS Week 08/2026