<p><strong>In the week from February 16, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Thermo Fisher Scientific: The Perfect Pair for GMP Compliance – IonicX and TruScan for Raw Material Identification and Verification</strong></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><p>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.</p><h5><strong>2. Milestone: Reliable Mercury Analysis in Environmental Samples – Tools, Techniques, and Best Practices</strong></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><p>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.</p><h5><strong>3. Agilent Technologies: Learn How to Confirm Your Data on ICP-OES – Are You Getting the Right Result?</strong></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><p>This webinar discusses accuracy and precision in ICP-OES analysis and practical strategies to ensure reliable and defensible results.</p>

Webinars LabRulezICPMS Week 08/2026

<p><strong>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.</strong></p><p>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.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233"><strong>Unlocking Phytoplankton Metallomes with Comparative Analysis of Metal Quotas, Quantitative Proteomics, and Inferred Metalloproteomes</strong></a></h4><p>Qiong Zhang*, Jiayou Ge, Fengjie Liu, Shabaz Mohammed, Kedong Yin, and Rosalind E. M. Rickaby</p><p>Environ. Sci. Technol. 2025, 59, 50, 27367–27377</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.est.5c11233">https://doi.org/10.1021/acs.est.5c11233</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>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.</p><p>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 <i>in situ</i> 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 (<i>e.g.,</i> by ICP-MS) and the protein sequence (<i>e.g.,</i> 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></p><p>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.</p><h3><strong>Materials and Methods</strong></h3><h4><strong>ICP-MS Analysis</strong></h4><p>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 <i>G. huxleyi</i> (OA1, OA4, OA8, OA15, OA16, OA23, and RCC 1242) and <i>Synechocystis</i> (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></p><h4><strong>Protein Mass Spectrometry</strong></h4><p>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"><strong>Ultimate 3000 UHPLC </strong></a>system (Thermo Fisher Scientific) and electrosprayed directly into a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/559"><strong>Q-Exactive Mass Spectrometer</strong></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 <i>m</i>/<i>z</i>, 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 <i>m</i>/<i>z</i>) with the first fixed mass at 180 <i>m</i>/<i>z</i>. Charge exclusion was selected for unassigned and 1+ ions. The dynamic exclusion was set to 20 s.</p><h3><strong>Results and Discussion</strong></h3><h4><strong>Trace Elements Determined from the Expressed Proteomes of Different Phytoplankton</strong></h4><p>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 <i>G. huxleyi</i>, 31 different metals in <i>C. reinhardtii</i>, and 30 different metals in <i>Synechocystis</i>. Although only 6 different metals were identified in <i>O. tauri</i> proteins, it has to be noted that the analysis for <i>O. tauri</i> 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.</p><p><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"></p><p>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 (Mg<sup>2+</sup> and Ca<sup>2+</sup> [weakest binding] &lt; Mn<sup>2+</sup> &lt; Fe<sup>2+</sup> &lt; Co<sup>2+</sup> &lt; Ni<sup>2+</sup> &lt; Cu<sup>2+</sup> &gt; Zn<sup>2+</sup>). <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>).</p><p>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 <i>G. huxleyi</i> and <i>Synechocystis</i>. <a href="javascript:void(0);">(22,24)</a> The essential roles of Mg in plants have been reported in various studies. Mg<sup>2+</sup> 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></p><h4><strong>Comparison Between Metallome Measured Directly and Reconstructed from Proteins</strong></h4><p>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.</p><p>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 (<i>r</i><sup>2</sup> = 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 <i>r</i><sup>2</sup> = 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.</p><p><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"></p><p>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 <i>G. huxleyi</i> and <i>Synechocystis</i> (<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. Ca<sup>2+</sup> 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<sup>+</sup> 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 Mg<sup>2+</sup> and K<sup>+</sup> abundances should also be higher than those determined from the protein structures. Free Mg<sup>2+</sup> and K<sup>+</sup> 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>).</p>

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

<p><strong>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!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies</strong>, <strong>Metrohm,</strong> <strong>Shimadzu </strong>and<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Quality Assessment of Saffron by UV‑Vis Spectroscopy in Accordance with ISO 3632</strong></h3><p><strong>Integrated quantitative analysis using an </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+3500+UV-Vis"><strong>Agilent Cary 3500 UV-Vis</strong></a><strong> and </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=Cary+UV+Workstation"><strong>Cary UV Workstation</strong></a></p><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"><strong>Full PDF for download</strong></a></li></ul><p>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;</p><p>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;</p><p>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.).<sup>1,2</sup> 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;</p><h4><strong>Experimental</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><p>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"><strong>Agilent Cary 3500 Multicell UV-Vis</strong></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.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>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"><strong>Agilent Cary UV Workstation software</strong></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;</p><p>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;</p><p>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;</p><p>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.</p><h3><strong>2. Metrohm: Feed analysis with near-infrared spectroscopy (NIRS)</strong></h3><p><strong>Simple, fast multiparameter determination of animal feed</strong></p><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"><strong>Full PDF for download</strong></a></li></ul><p>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.</p><h4><strong>EXPERIMENTAL EQUIPMENT</strong></h4><p>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"><strong>Metrohm NIR Analyzer</strong></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.</p><h4><strong>CONCLUSION</strong></h4><p>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.</p><h3><strong>3. Shimadzu: Online TOC Measurement for Ultra-pure Water in Semiconductor Industries</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01068_en_169a321574.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></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><p>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.</p><p>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;</p><p>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"><strong>TOC1000e S</strong></a>, along with examples of online measurements of ultrapure water.</p><h4><strong>Features of </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=TOC1000e+S"><strong>TOC-1000e S&nbsp;</strong></a></h4><p>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).</p><h4><strong>Conclusion&nbsp;</strong></h4><p>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.</p><h3><strong>4. Thermo Fisher Scientific: Analyzing SiC/Co materials for radar absorption and EMI shielding using ARL X’TRA Companion XRD</strong></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"><strong>Full PDF for download</strong></a></li></ul><p>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;</p><p>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.</p><h4><strong>Instrument &amp; software&nbsp;</strong></h4><p>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"><strong>Thermo Scientific™ ARL™ X’TRA Companion X-Ray Diffractometer</strong></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.</p><h4><strong>Your benefits&nbsp;</strong></h4><p>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.</p>

News from LabRulezICPMS Library - Week 08, 2026

Article

Webinars

Application

Scientific article

Science and research

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

LabRulez

Mettler-Toledo

Anton Paar

Agilent Technologies

Bruker

Wiley

C&EN

<p><strong>There is a growing concern related to the ubiquitous nature of microplastics in consumer products.</strong></p>
<blockquote>
<p><strong>Presenter:</strong> Benjamin J Southwell (Assistant Professor of Bio-Analytical Chemistry, Lake Superior State University)</p>
</blockquote>
<blockquote>
<p>Benjamin Southwell holds a bachelor’s and Master’s degree in Chemistry from Lake Superior State University (LSSU) and Central Michigan University, respectively. With a research focus on studying the analytics of cannabinoids and terpenes in cannabis products as the Coordinator for the LSSU Cannabis Center of Excellence. Currently he instructs courses in Forensic, Analytical, and Cannabis Chemistry.</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Derek Wright, Ph.D. (Associate Professor of Environmental Science, Lake Superior State University)</p>
</blockquote>
<blockquote>
<p>Dr. Derek Wright is an Associate Professor of Environmental Science at Lake Superior State University. Dr. Wright earned his Ph.D. in Environmental Science from Rutgers University. He has over 20 years of experience with trace element analysis by ICP-MS, ICP-OES, MP-AES, and AAS.</p>
</blockquote>


Agilent technologies: Detecting Microplastics in Cannabis: An Analysis Using LDIR Spectroscopy

Detecting Microplastics in Cannabis: An Analysis Using LDIR Spectroscopy

Detecting Microplastics in Cannabis: An Analysis Using LDIR Spectroscopy.

An Analysis Using LDIR Spectroscopy

<p><strong>Beyond the Surface Add on Module 3 - Indentation and Scratch Applications</strong></p><p><strong>Gain Industry-specific application knowledge</strong> by exploring the diverse applications of indentation and scratch testing techniques across various industries. This four-part series delves into the testing of battery materials, focusing on mechanical properties that enhance durability and efficiency, and the evaluation of medical materials and devices, with a special emphasis on soft materials like stent coatings and contact lenses. Additionally, it covers the performance testing of automotive and aerospace components, highlighting functional coatings such as TiN and the mar resistance of paints. The series also investigates soft materials, including paints, soft polymers, and bio-materials, providing deeper insights through advanced instrumented characterization techniques.</p><h3><strong>March 4, 2025:&nbsp;Battery Materials</strong></h3><p style="margin:7.5pt 0in .0001pt;">This webinar highlights the critical role of mechanical property testing in evaluating the performance and reliability of battery materials, offering real-world examples from various stages of the manufacturing process. Key topics include the durability of electrode coatings, a crucial factor for long-term battery performance, the analysis of particle fracture to ensure structural integrity, and the evaluation of surface property variation, which can impact battery efficiency.&nbsp;</p><p style="margin:7.5pt 0in .0001pt;">By the end of this webinar, participants will understand how mechanical testing can optimize battery materials and improve overall product quality.</p><blockquote><p><strong>Presenter:</strong> Mark R Haase</p><p>Mark R Haase is an Advanced Application Scientist at Anton Paar, and has been with the company for six years. They work with many material characterization techniques, including scratch, indentation, tribology, particle sizing, gas sorption, atomic force microscopy, and rheology. Mark supports the use of these techniques in research and industry with training and method development. Prior to joining Anton Paar, Mark's studies included nanocarbon materials and green energy systems.</p></blockquote>

Anton Paar: Beyond the Surface Add on Module 3 - Indentation and Scratch Applications: Gain Industry-specific application knowledge

Battery Materials

This webinar highlights the critical role of mechanical property testing in evaluating the performance and reliability of battery materials.

Indentation and Scratch Applications: Battery Materials

<p><strong>Unlock the Secrets of Your Thermoplastics with Essential Thermal Analysis Techniques</strong></p><p><strong>Program:</strong></p><ul><li>Typical properties and characteristics of thermoplastics</li><li>Ideal thermal techniques for studying thermoplastics</li><li>Practical applications for DSC, Flash DSC, and high pressure DSC</li><li>Additional applications for TGA, TMA, and DMA</li><li>Interactive Q&amp;A session</li></ul><p>Thermoplastics are widely used in many products due to their unique properties, lightweight nature, affordability, and recycling potential. Their ability to soften when heated makes thermal analysis an invaluable tool for characterizing their behavior. These materials can typically be reheated and remolded multiple times, offering a more sustainable alternative to products that cannot be recycled or repurposed.</p><p>Join the webinar and delve deeper into the world of thermoplastics!</p><p><strong>Why is Thermal Analysis Essential for Characterizing Thermoplastics?</strong></p><p>Techniques such as DSC, TGA, TMA, and DMA can measure thermoplastic properties and behavior across a temperature range of −150 to 1600 °C. Using just a few milligrams of sample, you can determine critical information, including specific heat capacity, glass transition, melting, crystallization, decomposition, oxidative induction time (OIT), expansion coefficient, and elasticity. Understanding these properties is crucial in both research and quality control settings across various industries.</p><p>Don’t miss out on this opportunity to gain in-depth knowledge and insights.</p><p>Register now to secure your spot. Don’t forget to prepare your questions for our experts!</p><ul><li><strong>27.2.2025 8:00, English</strong></li><li><strong>27.2.2025 16:00, English</strong></li></ul><blockquote><p><strong>Presenter: </strong>Dr. Andreas Bach</p><p>Andreas was awarded a PhD in Chemistry from the University of Bern in Switzerland and completed a postdoc at the University of Wisconsin-Madison Department of Chemistry, USA. In 2002, he accepted a position as a senior scientist and lecturer in physical organic chemistry in the Department of Chemistry and Applied Biosciences at ETH Zurich. In 2018, he joined METTLER TOLEDO as an application specialist for Thermal Analysis. In his current position, he expertly uses, teaches and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote>

Mettler Toledo: Live Webinar: Characterization of Thermoplastics by Thermal Analysis 

Live Webinar: Characterization of Thermoplastics by Thermal Analysis 

Unlock the secrets of your thermoplastics with essential thermal analysis techniques.

Characterization of Thermoplastics by Thermal Analysis

<p><strong>Join us to learn more about Anton Paar's innovative solutions to the challenges of measuring acids and bases. In this one-hour webinar, we'll introduce you to our cutting-edge technologies and practical tools that will help you optimize your analyses and ensure reliable, accurate results.&nbsp;</strong></p><p>Whether you're a laboratory or production professional, this webinar will provide you with expert advice and concrete application examples from a variety of industrial sectors. Don't miss this opportunity to find out how our solutions can improve your day-to-day work!</p><ul><li>Laboratory instrumentation</li><li>Portable instrumentation</li><li>Process instrumentation</li></ul><p>A basic knowledge of the chemical industry and in acids and bases is useful but not essential.</p><blockquote><p><strong>Presenter:</strong> &nbsp;Nicolas Ogez-Paul</p><p>Nicolas Ogez-Paul started his career as a chemist in organic chemistry research and development. After five years with a company specializing in sample preparation, synthesis and purification of organic compounds as Sales Manager for France, Belgium, Luxembourg and Switzerland, Nicolas Ogez-Paul joined Anton Paar Switzerland in 2016. Initially responsible for the sales of density, refractive index, polarimetry, viscosity, flashpoint and oxidation testers, in-line measurement for French-speaking Switzerland and mineralization and synthesis microwaves for the Western part of Switzerland, he progressed internally to his current position as Team Leader of Anton Paar Switzerland's «Measurement» division and Microwave Sales Manager for the whole of Switzerland.</p><p><strong>Presenter:&nbsp;</strong> Marc Nisple</p><p>Marc Nisple holds a Master’s degree in food chemistry and food process engineering by the Federal Institute of Technology Zurich (ETH) and has 10 years of professional working experience in the industry of analytical instruments as R&amp;D Chemist, Application Specialist and Laboratory Manager. He has been working as Product Specialist at Anton Paar Switzerland since 2019.<br>&nbsp;</p></blockquote>

Anton Paar: Explore All our Innovative Solutions for Acid and Base Measurement

Explore All our Innovative Solutions for Acid and Base Measurement

Join us to learn more about Anton Paar's innovative solutions to the challenges of measuring acids and bases

Innovative Solutions for Acid and Base Measurement

<div><div><div><div><div><div><div><div><div><div><div><p><strong>Webinar Overview</strong></p></div><div><div><div><div><div><div><p><strong>The hardware:</strong> This webinar will provide an overview of Bruker’s Fourier 80 compact and cryogen-free benchtop NMR spectrometer highlighting its features, capabilities, and available accessories.</p><p><strong>The solution software:</strong> You will learn about Bruker’s Advanced Chemical Profiling solution, which offers a truly automated, end-to-end workflow from sample to report. The solution processes and interprets NMR data, and files conclusive reports. It is easily applicable to substances in pure form or mixtures allowing identification and quantification of constituents in incoming goods, process intermediates, and final product formulations.</p><p><strong>A match made in heaven:</strong> In a live-demo, you will experience the symbiosis of the low-maintenance and easy-to-use Fourier 80 benchtop NMR spectrometer with the fully automated Advanced Chemical Profiling solution. This combination will help you to deploy sophisticated NMR analysis through push-button solutions in any step along the value chain</p></div></div></div></div></div></div><p><strong>The solution software:</strong> You will learn about Bruker’s Advanced Chemical Profiling solution, which offers a truly automated, end-to-end workflow from sample to report. The solution processes and interprets NMR data, and files conclusive reports. It is easily applicable to substances in pure form or mixtures allowing identification and quantification of constituents in incoming goods, process intermediates, and final product formulations.</p><p><strong>A match made in heaven:</strong> In a live-demo, you will experience the symbiosis of the low-maintenance and easy-to-use Fourier 80 benchtop NMR spectrometer with the fully automated Advanced Chemical Profiling solution. This combination will help you to deploy sophisticated NMR analysis through push-button solutions in any step along the value chain</p></div></div></div></div></div></div><p><strong>Key Takeaways</strong></p></div><div><div><div><div><div><div><ul><li>User-friendly operation: The Fourier 80 Benchtop NMR spectrometer requires little maintenance and is operated with a user-friendly graphical user interface</li><li>Automated workflows: Advanced Chemical Profiling provides fully automated workflows from sample to report</li><li>High-throughput testing: Advanced Chemical Profiling enables you to deploy sophisticated NMR analyses and high-throughput testing, operator-independent even in non-expert environments</li><li>Distributed Lab Topology: Bruker’s NMR systems enable you to achieve a Distributed Lab Topology in which expertise, methods, and data can be easily shared globally and between different stages in the value chain.</li></ul><p><strong>Who Should Attend</strong></p></div><div><div><div><div><div><div><p>This webinar is perfect for industry professionals looking to enhance their analytical capabilities with advanced NMR technology. Specifically, it will benefit: Laboratory Managers, NMR facility managers, Senior &amp; Principal Scientists, R&amp;D Managers, QA/QC Managers, New Product Developers, Lead Quality Engineers, Technology Scouts, Manufacturing Managers, Process Managers, Analytical Chemists, Chemical Engineers</p><blockquote><p><strong>Presenter: </strong>Dr. Agnes Haber</p><p>Agnes Haber holds a doctoral degree in physics from RWTH Aachen University. She has over 15 years’ experience in benchtop NMR, which she acquired in academic and industrial environments all over the world. Currently at Bruker, Agnes is the product manager for the Fourier 80 benchtop NMR spectrometer, being responsible for product portfolio management, including accessories and automation, and supporting the commercialization of end-to-end solution into various markets.</p><p><strong>Presenter: </strong>Dr. Benjamin Görling</p><p>Benjamin Görling holds a doctoral degree in chemistry from the Karlsruhe Institute of Technology. He joined Bruker in 2016 as an application scientist focusing on small molecules and automation and moved to the Fourier 80 benchtop NMR with its introduction in 2019.</p><p><strong>Presenter: </strong>Dr. Markus Hecht</p><p>Markus Hecht holds a doctoral degree in chemistry from the Julius-Maximilians-University of Würzburg. He later joined BASF and Sun Chemical to lead research laboratories in the development of new products and manufacturing processes in the field of organic pigments. At Bruker, Markus is responsible for providing value-adding solutions to customers in the chemical industry and in commercial &amp; governmental testing laboratories.</p></blockquote></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Bruker: Explore automated workflows with the Fourier 80 benchtop NMR spectrometer

Explore automated workflows with the Fourier 80 benchtop NMR spectrometer

Explore automated workflows with the Fourier 80 benchtop NMR spectrometer.

Workflows with the Fourier 80 benchtop NMR spectrometer.

<p><strong>Industrial activity such as mining and metallurgy can cause significant groundwater contamination due to metals leaching into the land and waterways. Therefore, monitoring the aquatic environment and drinking water supplying chain is a fundamental prerequisite for protecting the public at large.</strong></p><p>To address this requirement, the new European Union Drinking Water Directive (EU) 2020/2184, includes maximum concentration limits for metals ranging from sub-ppb to 1.0 μg/L for most elements. ICP-MS technology is the Gold Standard for this analysis since it offers trace level, multi-element quantitation capability with high specificity and short analysis times over a wide dynamic range.</p><p>The webinar presents a complete workflow from sample introduction to the final reporting highlighting exemplary results showing how the mandated LOQs detailed in the EU 2020/2184 regulation can be routinely met by modern analytical laboratories.</p><div><blockquote><p><strong>Presenter:&nbsp;</strong> Andrea Carcano (Atomic Spectroscopy Product Specialist, Agilent Technologies)</p><p>Andrea Carcano studied at the University of Insubria obtaining a degree in Biology in 2001 and a PhD in 2005. He worked for five years at CNR laboratory as researcher in the field of chemical monitoring of large deep lakes and atmospheric depositions at Italian level. For 15 years he has held the role of Atomic Spectroscopy Product Specialist (AA, ICP-OES and ICP-MS) in Agilent Technologies Italia. In recent years he has gained technical and application experience on ICP-OES and ICP-MS hardware and software platforms, participating in all the introductions of new products and technologies on the market.</p></blockquote></div>

Agilent Technologies: Watertight Analytical Workflows to Meet EU Directive 2020-2184

Trace Level Elemental Analysis of Metals in Drinking Water by ICP-MS According to Directive (EU) 2020/2184

Complete workflow from sample introduction to final report with results showing how the LOQs detailed in the EU regulation can be met by analytical laboratories

ICP-MS Trace Elemental Analysis of Metals in Drinking Water

<p><strong>Observation is fundamental to not only understanding the world around us, but also to engineering a brighter future. For centuries, optical methods enhanced our vision, giving birth to countless discoveries in both biological and material science. These advancements enabled an exponential evolution in technology. As the length scale of science reduced and the need for quantitative precision increased, new technologies were developed to further enhance our vision. But even today, these classic techniques suffer from a fundamental limitation, bound to the surface, lacking the ability to see what lies beneath.</strong></p><p>Over the last decades a quiet revolution has been building. X-rays, a form of high energy light, have a special relationship with matter. With ideal wavelength they can both penetrate and be harmlessly absorbed and scattered, leading to ideal contrast. Advances in sources, motion control, detection and computing power have resulted in a new class of microscopes capable of non-destructive volumetric imaging with exceptional field-of-view, resolution and speed, all in a form factor to fit any lab.</p><p>As a leader in X-ray Microscope technology, Bruker is excited to invite you to the launch of our newest modular, effective and accessible non-destructive 3D imaging solution. The time is now.&nbsp;</p>

Bruker: The New Future of Micro-CT and 3D X-Ray Microscopy

The New Future of Micro-CT and 3D X-Ray Microscopy

Discover the new, enhanced 3D imaging system.

<p><span style="font-size:16px;"><strong>The biopharmaceutical industry is increasingly focused on developing higher drug concentration formulations to improve efficiency, reduce production costs, and meet the growing demands for more potent biologics. As the industry shifts toward more concentrated biologics, there is an urgent need for more efficient and reliable analytical tools to measure concentrations at all stages of production, from process development to manufacturing and release testing.</strong></span></p><p>Traditional UV/Vis spectroscopy methods, which rely on fixed pathlengths, face significant challenges when dealing with highly concentrated or limited volume samples, often requiring time-consuming dilution steps. With the growing demand for faster, more accurate results in these increasingly complex workflows, the ability to measure high concentrations quickly and accurately has become a critical need.</p><p>In this webinar, we will introduce the new CTech™ SoloVPE® PLUS, which utilizes variable pathlength technology (VPT) to enable dilution-free, real-time concentration measurements across a wide range of analytes. We will discuss how this emerging technology addresses the industry's evolving needs for more accurate, faster testing to support the development and release of mRNA-based therapeutics, monoclonal antibodies, and other biologic products. You’ll also learn how VPT can accelerate decision-making, improve productivity, and enhance efficiency in process development, manufacturing, and release testing workflows.</p><p><strong>Key learning objectives:</strong></p><ul><li>Understand the challenges posed by traditional UV/Vis spectroscopy methods for highly concentrated or limited volume samples.</li><li>Learn how variable pathlength technology enables dilution-free, real-time concentration measurement for complex biologics workflows.</li><li>Gain insight into how emerging technologies are addressing the industry's evolving demands for higher concentration formulations and faster testing</li></ul><p><strong>Who should attend:</strong></p><ul><li>This webinar is ideal for professionals working in biopharmaceutical workflows, including:</li><li>Process Development Scientists</li><li>Analytical Development Scientists</li><li>Quality Control and Quality Assurance Scientists</li><li>Manufacturing Science and Technology (MSAT) Scientists</li></ul><div><blockquote><p><strong>Presenter: </strong>Joe Ferraiolo (Director, Bioanalytics Applications, Repligen)</p><p><strong>Presenter: </strong>Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)</p></blockquote><p>&nbsp;</p></div>

C&EN: Real-Time, Dilution-Free Concentration Measurement Using Variable Pathlength Spectroscopy for Biopharmaceutical Workflows

Real-Time, Dilution-Free Concentration Measurement Using Variable Pathlength Spectroscopy for Biopharmaceutical Workflows

The new CTech™ SoloVPE® PLUS with variable pathlength technology for dilution-free, real-time concentration measurements.

Real-Time, Dilution-Free Concentration Measurement Biopharma

<p><strong>By mimicking the structure and function of organs and human tissues, spheroids, organoids, and 3D cellular models are revolutionizing medical research. AFM, an advanced multiparametric imaging technique, can provide invaluable insights into complex biological and biomechanical mechanisms in samples ranging from individual biomolecules and cells to tissues and 3D multicellular aggregates.&nbsp;</strong></p><p>Dr. Lydia Powell, whose work is at the interface of engineering and biomedical sciences, will speak on using 3D spheroid cellular models to study the mechanisms of drug resistance in ovarian cancer treatment, metastasis, and chronic wound biofilm-related infections, and how this research can be translated into the design and delivery of new therapies.</p><p>Don’t miss the LIVE demonstration, where we will illustrate SmartMapping, an advanced AFM mode that allows the automated investigation of challenging, uneven samples, such as living cells, organoids, and tissues, and the flexible investigation of arbitrarily shaped mapping areas.&nbsp;</p><p><strong>This webinar will include:</strong></p><ul><li>A fascinating overview of how 3D models are advancing our understanding of disease and therapeutics</li><li>SmartMapping Demo, LIVE from our labs in Berlin, Germany</li><li>Q&amp;A session with the team</li></ul><h4><strong>Agenda</strong></h4><h5><strong>17:00: </strong>Welcome &amp; Introduction</h5><ul><li>Oilibhe Pabsch, Scientific Affairs Manager, Bruker BioAFM</li></ul><h5><strong>17:05: AFM Mechanical Mapping of Large-Scale 3D Cellular Models</strong></h5><ul><li>Dr. Lydia Powell, Swansea University Medical School, Wales</li></ul><h5><strong>17:35: Live Demo NanoWizard BioAFM</strong></h5><ul><li>Dr. Alexander Dulebo, Application Engineer, Bruker BioAFM</li></ul><h5><strong>17:50:</strong> Q&amp;A</h5><h5><strong>18:00: </strong>Closing</h5><h4><strong>Webinar Abstract</strong></h4><div><p>The dramatic rise in the use of 3D cellular in vitro models has been driven by the need to better understand the complex biological and biomechanical mechanisms occurring in disease and therapeutic treatment. 3D cellular models endeavor to mimic the cellular architecture and environment conditions found in vivo, however, standard characterization techniques fail to effectively capture the spatial biomechanics at largescale. In Swansea University Medical School, we have used Atomic Force Microscopy, together with the 3D spheroid cellular model, to unravel the role of multicellular aggregates in ovarian cancer drug resistance and metastasis within the peritoneal cavity. Furthermore, we have used the latest advancement of SmartMapping to achieve force maps of entire ovarian cancer spheroids surfaces (&gt;150µm), revealing their heterogenous nature.&nbsp;</p></div><blockquote><p><strong>Presenter: </strong>Dr. Lydia Powell (Microbiology and Infectious Disease Group, Swansea University Medical School, Wales)</p><p>Dr. Lydia C Powell is a lecturer within Swansea University Medical School. Lydia’s research, operating at the interface between engineering and biomedical sciences, has been pivotal in understanding the biophysical and mechanical properties of complex 3D multicellular aggregates, such as bacterial biofilm structures and ovarian cancer spheroids. Lydia has translated this understanding into the design and delivery of new therapies for cystic fibrosis and chronic wound biofilm-related infections, where this research has informed the patenting and progression of novel anti-biofilm therapeutics into clinical trials (AlgiPharma AS and Qbiotics).&nbsp;</p></blockquote>

Bruker: Biomechanical Analysis of Tissues, Organoids, and 3D Cellular Structures using AFM

Biomechanical Analysis of Tissues, Organoids, and 3D Cellular Structures using AFM

Join Dr. Lydia Powell for a webinar on AFM biomechanical analysis of tissues, organoids, and 3D cellular structures.

AFM Biomechanical Analysis of Tissues, Organoids & 3D Cells

<div><p><strong>Comparing and matching unknown spectra to databases of known measured spectra is one of the most effective methods for spectral identification.</strong></p><p>This webinar explores some of the latest advances in spectral analysis to tackle this challenge including Wiley’s KnowItAll classification models, SmartSpectra, and functional group analysis tools. Through a series of live examples, we will demonstrate how you can incorporate these tools into your workflow for the most successful analysis.</p><p><strong>In this session, you will:</strong></p><ul><li>Learn about cutting edge technologies that can augment your spectral analysis workflow</li><li>See live demonstrations showing how these tools can help to identify spectra</li></ul><p><strong>Who should attend:</strong></p><ul><li>Analytical chemists and those performing spectral analysis</li><li>Current KnowItAll and spectral database users</li></ul><p><strong>About KnowItAll Software</strong></p><p>KnowItAll offers a unified, vendor neutral solution for data processing, analysis, searching, and databasing. KnowItAll 2025 has tools for workflows IR, Raman, GC-MS, LC-MS, NMR and UV-Vis, as well as tools for structure drawing, report publishing, and more.</p><blockquote><p><strong>Presenter:</strong> Calvin Stevenson (Editor, Software Products, Wiley Science Solutions)</p><p>Calvin Stevenson is an accomplished Editor at Wiley, specializing in spectral solutions and new technologies. He holds a Postgraduate Degree in Data Analytics from George Brown College and has a Bachelor of Technology in Biotechnology from McMaster University.</p></blockquote></div>

Wiley: Advances in Spectral Identification: SmartSpectra, Classifications, & More!

Advances in Spectral Identification: SmartSpectra, Classifications, & More!

This webinar covers advances in spectral analysis, including Wiley’s KnowItAll models, SmartSpectra, and functional group analysis tools.

Related content

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