<p><strong>In the week of February 16, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.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. Agilent Technologies: From Complex to Simplicity – Get More Peace of Mind on Your HPLC Workflows with InfinityLab Assist</strong></h5><ul><li>Mo, 16.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5908">Registration</a></li></ul><p>Discover how Agilent InfinityLab Assist simplifies LC system control with intuitive multitouch operation, guided troubleshooting, and smart monitoring to boost efficiency and reduce downtime.</p><h5><strong>2. Thermo Fisher Scientific: Driving the Process Development of Recombinant Therapeutic Products with Automated MS-Based Target Peptide Mapping</strong></h5><ul><li>Tu, 17.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5931">Registration</a></li></ul><p>Explore automated MS-based MAM workflows for peptide mapping, enabling faster CMC decisions and scalable analytics from development to QC readiness.</p><h5><strong>3. Thermo Fisher Scientific: PFAS Analysis Solutions – Innovations for Today’s Labs</strong></h5><ul><li>Tu, 17.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5818">Registration</a></li></ul><p>Explore the latest challenges and solutions in PFAS analysis for environmental and food testing, including advanced workflows that improve sensitivity, accuracy, and lab efficiency.</p><h5><strong>4. Phenomenex: Understanding and Applying USP Chapter 621 for Generic Pharmaceutical Applications</strong></h5><ul><li>We, 18.2.2026 10:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5794">Registration</a></li></ul><p>Learn the key guidelines defined in USP &lt;621&gt; and practical examples of how to apply them in generic pharmaceutical method development.</p><h5><strong>5. SCIEX: Genome Integrity Analysis of Adeno-Associated Viruses (AAV) by Genome Sizing Using a SCIEX Capillary Electrophoresis System</strong></h5><ul><li>We, 18.2.2026 11:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5935">Registration</a></li></ul><p>Join this webinar to learn how capillary electrophoresis enables reliable genome integrity analysis of AAV for gene therapy applications.</p><h5><strong>6. Waters Corporation: The Gold Standard – Achieving Optimal Peptide Purification with Reversed-Phase Chromatography</strong></h5><ul><li>We, 18.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5917">Registration</a></li></ul><p>Discover why reversed-phase chromatography remains the gold standard for peptide purification and analytical performance.</p><h5><strong>7. Axcend: Understanding Capillary LC – Part 5: Detectors, Sensitivity, and MS/UV</strong></h5><ul><li>We, 18.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5829">Registration</a></li></ul><p>Join experts to explore MS, UV, and electrochemical detectors at the capillary scale and learn how to achieve reliable sensitivity in capillary LC workflows.</p><h5><strong>8. Thermo Fisher Scientific: Single Cell and Immunopeptidomics Explorations on Orbitrap Astral MS</strong></h5><ul><li>Th, 19.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5932">Registration</a></li></ul><p>Discover how Orbitrap Astral MS and Vanquish Neo HPLC enable deep single-cell proteomics and immunopeptidomics from ultra-low-input clinical samples.</p><h5><strong>9. Evosep Biosystems: Experimental Design Considerations for Scalable Proteomics</strong></h5><ul><li>Th, 19.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5836">Registration</a></li></ul><p>Explore best practices for experimental design in LC-MS–based proteomics to build robust, reproducible, and scalable analytical workflows.</p><h5><strong>10. Waters Corporation: Ask Me Anything About Managing Computerized System Risks to Data Integrity</strong></h5><ul><li>Th, 19.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5809">Registration</a></li></ul><p>Learn practical strategies to manage computerized system risks in regulated laboratories and protect data integrity while ensuring compliance.</p><h5><strong>11. Shimadzu Corporation: Automating a Comprehensive Amino Acid Panel for Inborn Errors of Metabolism</strong></h5><ul><li>Th, 19.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5936">Registration</a></li></ul><p>Discover how Shimadzu’s CLAM-2040 automates LC-MS/MS sample preparation to standardize workflows, reduce manual handling, and improve consistency in clinical labs.</p>

Webinars LabRulezLCMS Week 08/2026

Imaging of Protein Assemblies up to 231 kDa in Tissues with Nano-DESI Mass Spectrometry

<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

Article

Webinars

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

Metrohm

The Analytical Scientist

Agilent Technologies

MAC-MOD ANALYTICAL

Bruker

SciY/Mestrelab Research

Waters Corporation

<p><strong>Join us for an exclusive one-day hybrid event, here we&#39;ll explore the latest trends and innovations in microplastics analysis. The morning session will be live-streamed and recorded, allowing virtual  articipation for those unable to attend in person.</strong></p>
<p>We are excited to invite you to a special <strong>hybrid event</strong> in partnership with <strong>i3 Membrane</strong>, where we will delve into the latest trends and innovations in microplastics analysis. Whether you join us in person or virtually, you’ll gain invaluable insights and hands-on experience.</p>
<p><strong>Event also available in live stream</strong></p>
<h3><strong>Agenda:</strong></h3>
<ul>
<li><p><strong>Morning session:</strong> Gain key insights into <a href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=microplastics+analysis"><strong>microplastics analysis</strong></a>, as well as <a href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=PFAS"><strong>PFAS</strong></a> and other environmental contaminants, through engaging presentations by top researchers and industry experts.</p>
</li>
<li><p><strong>Afternoon session:</strong> Participate in interactive workshops designed to enhance your practical skills in sample preparation. This provides a unique opportunity to master advanced techniques and methodologies under the guidance of professionals. Attend a live demo on the IR QCL-based <a href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR"><strong>8700 LDIR</strong></a>. Additionally, enjoy a guided laboratory tour offering an exclusive glimpse into the state-of-the-art facilities at the HEREON campus.</p>
</li>
</ul>
<h5>9:15 a.m. - Welcome</h5>
<h5>9:20 a.m. - <strong>From Macroplastics to Mesoplastics: Challenges and Solutions</strong></h5>
<ul>
<li>Dr. Marion Börger, Agilent Technologies,</li>
<li>Dr. Andreas Kerstan, Agilent Technologies</li>
</ul>
<h5>9:40 a.m. - <strong>i3 Membrane Session: Filter Membranes/Packaging - Jacobs</strong></h5>
<ul>
<li>Kathrin Hahn, i3 Membrane</li>
</ul>
<h5>10:00 a.m. - <strong>Exploring Microplastic Sources and Distribution in Australian Soils</strong></h5>
<ul>
<li>Subharthe Samandra, University of Melbourne</li>
</ul>
<h5>10:20 a.m. - <strong>Advancing Analysis: Eurofins&#39; Path to ISO 17025 Accreditation for Microplastics Testing</strong></h5>
<ul>
<li>Julia Jäger, Eurofins</li>
</ul>
<h5>10:40 a.m. - Coffee Break</h5>
<h5>11:00 a.m. - <strong>Validation and Application of LDIR Imaging to Analyze Microplastics in Marine Samples</strong></h5>
<ul>
<li>Lars Hildebrandt, Hereon</li>
</ul>
<h5>11:20 a.m. - <strong>Applying Multiple Analytical Techniques to Answer Open Questions About Offshore Wind</strong></h5>
<ul>
<li>Alexa Zonderman, Hereon</li>
</ul>
<h5>11:40 a.m. - <strong>Sample-Based Subsampling Strategies to Analyze Large Quantities of Particles in LDIR</strong></h5>
<ul>
<li>Manuel Andrade, University La Coruna</li>
</ul>
<h5>12:00 p.m. - <strong>Beyond the Surface: Spotlight on Plastic [Metal(loid)] Additive Leaching and Unseen Contaminants</strong></h5>
<ul>
<li>Ole Klein, Hereon</li>
</ul>
<h5>12:20 p.m. - <strong>Microplastics back in food- Advantages of Thermal Desorption for a wide range of Samples</strong></h5>
<h5>12:40 p.m. - <strong>Struggling with Solvent Effects During the Analysis of PFAS</strong></h5>
<ul>
<li>Dr. Axel Ritter, Agilent Technologies</li>
</ul>
<h5>1:00 p.m. - Lunch Break</h5>
<h5>2:00 p.m. - <strong>An Analytical Toolbox to Unravel PFAS Source Fingerprints</strong></h5>
<ul>
<li>Frank Menger, Hereon</li>
</ul>
<h5>2:20 p.m. - <strong>LDIR for Assessment of Microplastics in the VAMAS Ring Trial and Tissue in a Murine Infection Model</strong></h5>
<ul>
<li>Christoph Krafft, IPHT</li>
</ul>
<h5>2:40 p.m. - <strong>Label-Free Infrared Spectroscopic Micro- and Nanoplastics Detection in Complex Matrices</strong></h5>
<ul>
<li>Markus Brandstetter, Recendt</li>
</ul>
<h5>3:00 p.m. - <strong>Break in Dividing the Guests into Subgroups</strong></h5>
<h5>3:10 p.m. - <strong>Lab Visits: Organic Lab, Microplastics Lab, Sample Prep, LDIR, and Other Techniques</strong></h5>
<h5>4:50 p.m. - Wrap up</h5>
<h3><strong>Meeting Information</strong></h3>
<ul>
<li><p><strong>Date:</strong> 29 October 2024</p>
</li>
<li><p><strong>Time:</strong> 9:00 a.m. to 4:50 p.m. CEST</p>
</li>
<li><p><strong>Location:</strong> GITZ GmbH, Max-Planck-Straße 2, 21502 Geesthacht, Germany </p>
</li>
<li><p><strong>Meals included:</strong> Enjoy complimentary lunch and snacks during the event.</p>
</li>
</ul>
<p><strong>Limited spots available!</strong> Hurry, to secure yours today.</p>
<blockquote>
<p><a href="https://explore.agilent.com/microplameeting24#form"><strong>Secure your spot</strong></a></p>
</blockquote>


Agilent Microplastics Meeting 2024

We'll explore the latest trends and innovations in microplastics analysis.

<p><strong>This session will explore detectors commonly used in polymer analysis (RID, UV, MALS, Viscometer), emphasizing their specific applications based on polymer types (Branched, Linear, high Mw, low Mw).</strong></p><p>We will discuss their roles in Mw determination, Quantitation, Viscosity measurement, and size and shape determination etc.&nbsp;</p><blockquote><p><strong>Presenter:</strong> Ansuman Mahato (Product Specialist Liquid Phase Separations, Agilent Technologies)</p><p>Ansuman has been a Product Specialist at Agilent Technologies for 14 years, working with the pharmaceuticals, biopharmaceuticals, food, and chemicals industries. Based in Waldbronn, Germany, the manufacturing site for Agilent’s chromatography solutions, he helps make labs more efficient and compliant and has rich experience with techniques like HPLC, UHPLC, GPC/SEC, Prep LC, and 2D-LC.</p><p>Ansuman is also skilled in polymer analysis using advanced tools like viscometry and MALS. He has published many papers in international journals and is a popular speaker for his practical insights and innovative solutions.</p></blockquote>

Agilent Technologies: HPLC Beginner Webinar Series

GPC/SEC Detector Selection

This session will explore detectors commonly used in polymer analysis (RID, UV, MALS, Viscometer).

<p><strong>In this session, discover how Wiley’s KnowItAll saves hours of GC-MS manual analysis time by combining fast, flexible deconvolution with an integrated reference database search into a single, automated workflow to identify components.</strong></p><h4>We will demonstrate through a series of live examples:</h4><ul><li><strong>KnowItAll’s various methods for GC-MS analysis and how they can impact your workflow.</strong></li><li><strong>Professors and students engaged in chemistry and mass spectrometry courses or lab work.</strong></li></ul><p>About KnowItAll: KnowItAll combines all the tools and spectral databases you need for effective analysis into a single, easy-to-use interface to make your lab its most efficient. Compatible with over 130 instrument formats, it streamlines your entire workflow regardless of how many techniques and instruments you use. Learn more at sciencesolutions.wiley.com</p><blockquote><p><strong>Presenter: </strong>Dr. Leanna Ergin (Associate Editor, Wiley Science Solutions)</p><p>Dr. Leanna Ergin is an Associate Editor for Wiley Science Solutions, for which she helps create tools for spectroscopy, structural, and scientific standard reference data and helps create innovative software applications. Leanna completed her PhD in Clinical-Bioanalytical Chemistry from Cleveland State University, where she developed a protocol for processing hyperspectral image data that distinguishes the spectra, removes degeneracies caused by symmetry, and is generalized to work with any number of wavelength dimensions and spectra. The results are mapped to the full RGB colorspace of modern computer displays. Leanna joined Wiley in 2022.</p><p><strong>Presenter:&nbsp;</strong>Dr. Michelle D’Souza (Product Manager, Software Products, Wiley Science Solutions)</p><p>Dr. D’Souza has over 15 years of experience in the management and development of spectroscopy software, including her current position as product manager for software products at Wiley Science Solutions and prior to that at Bio-Rad Laboratories, Inc. She also worked many years in the pharmaceutical industry after obtaining a Ph.D. in chemistry from Northern Illinois University.</p></blockquote>

The Analytical Scientist: Introduction to KnowItAll for Mass Spectrometry

Introduction to KnowItAll for Mass Spectrometry

How Wiley’s KnowItAll saves hours of GC-MS manual analysis time.

<p><strong>We’ll explore how outlier setup can help you focus on samples and compounds that require your attention, ensuring accurate and reliable results.</strong></p><p>Additionally, you’ll learn how viewing compounds and calibration at a glance can expedite data review, making the process faster and more intuitive.</p><p>Finally, we’ll demonstrate how easily you can summarize your results in comprehensive reports or export them to Excel, streamlining your workflow and enhancing productivity.</p><p>Don’t miss this opportunity to enhance your data analysis skills with MassHunter Quant!</p><blockquote><p><strong>Presenter:</strong> Peter Kornas (LC/MS Applikationsspezialist, Agilent Technologies)</p><p>Peter Kornas has more than 10 years of experience in the development and validation of analytical methods for the determination of pesticides, mycotoxins and contaminants using LC/MS/MS. Before joining Agilent as an LC/MS application specialist in 2018, he worked as an analytical chemist in the food industry. During this time, he was responsible for the development and validation of analytical methods and worked in close coordination with Regulatory Affairs to ensure compliance with the legal requirements of the LC/MS method portfolio.</p></blockquote>

Agilent Technologies: MassHunter Masterclass Months

MassHunter Quant – A Fast and Easy Way from Data to Results

Join us and discover how quickly a quantitation method can be set up, enabling efficient data processing.

<div><div><div><p><strong>MALDI MS is ideally suited to increase productivity with rapid automated measurements. They provide near instant mass verification and information about impurities and degradants, which is valuable in quality control, assay optimization, and verification of substrates. Learn how the novel neofleX™ MALDI-TOF/TOF system&nbsp;enhances these workflows.</strong></p></div></div></div><div><div><div><h5><strong>Key Learning Objectives:</strong></h5><ul><li><strong>Overview of neofleX™ technology and its benefits to life sciences applications</strong></li><li><strong>Rapid automated analysis of a wide range of analytes including oligonucleotides and peptides</strong></li><li><strong>Software solutions for batch mode post-processing of automated runs</strong></li></ul></div></div></div><div><div><div><h5><strong>Who Should Attend:</strong></h5><ul><li>Characterization team leaders in biopharma companies and CROs</li><li>Mass spectrometry core lab managers</li><li>Anyone who is interested in rapid automated MS analysis</li><li>Researchers who would like to learn about the latest MALDI-TOF/TOF technology</li><li>Anyone who is interested in oligonucleotide and peptide analysis</li></ul><div><div><div><div><blockquote><div><p><strong>Presenter:</strong> Sergei Dikler, Ph.D. (Senior Market Manager, MALDI Technologies, Bruker Scientific LLC, Billerica, MA, USA)</p><p>Sergei Dikler, Ph.D., is a Senior Market Manager focused on promoting MALDI technologies. Dr. Dikler received his Ph.D. degree at Texas A&amp;M University. He is an expert in MALDI application development and high-throughput MS</p><p><strong>Presenter:</strong> Sinduri Vuppala, Ph.D. (Field Applications Specialist, Bruker Scientific LLC, Billerica, MA, USA)</p><p>Sinduri Vuppala, Ph.D., is a Field Applications Specialist for non-imaging MALDI applications at Bruker. Dr. Vuppala received her Ph.D., in Analytical Chemistry at the University of South Florida with focus on method development involving MALDI and CCS technologies.</p></div></blockquote></div></div></div></div></div></div></div>

Bruker: Rapid automated analysis using the novel neofleX™ platform

Rapid automated analysis using the novel neofleX™ platform

MALDI MS is ideally suited to increase productivity with rapid automated measurements. 

<p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}"><strong>With an understanding of selectivity, and using a variety of chromatographic data, we discuss phase design principles and how it is possible to introduce functionality to enhance selectivity through different mechanisms such as hydrophobicity, π-π, dipole-dipole and shape selectivity interactions.</strong></span></p><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}">This webinar is the second part in a three-part series by Gemma Lo, called "A Systematic UHPLC / HPLC Method Development Strategy with Complementary Stationary Phases to Maximize Selectivity and Resolution."</span></p><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}">Each part is about 20min long.</span></p><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}"><strong>Presenter:</strong> Gemma Lo</span></p>

MAC MOD Analytical: Utilizing Stationary Phase Design in Method Development

Utilizing Stationary Phase Design in Method Development

We discuss phase design principles and how it is possible to introduce functionality to enhance selectivity through different mechanisms.

<div id="contentLeft"><div id="realLeftContent"><div id="summary2" dir="ltr" aria-live="off"><div><div dir="" aria-atomic="true"><p id="isPasted"><strong>A successful chromatographic analysis relies on the precise preparation of standards and the generation of a reliable calibration curve. This webinar provides a comprehensive overview of ion chromatography fundamentals, empowering you to achieve precise and reliable results through expert guidance on standard preparation, calibration strategies, and recalibration best practices.&nbsp;</strong></p><p>To achieve more accurate and reliable data, it is crucial to understand the importance of selecting appropriate fit, calibration range and weighting factor. We will also highlight how to configure software settings to enhance the automatic identification and integration of peaks across varying chromatographic baselines, thereby improving the accuracy and reliability of data. Join us for this webinar to gain practical knowledge and expert guidance on optimizing your ion chromatography analysis, ensuring the highest accuracy and reliability in your results.</p><blockquote><p><strong>Presenter: </strong>Bikash Chouhan (Ion Chromatography Applications Specialist, Metrohm USA)</p><p>Bikash Chouhan is an Applications Specialist for Ion Chromatography at Metrohm USA. He completed his PhD in Analytical Chemistry from the University of Texas at Arlington (UTA). His area of research during his PhD was in Capillary Scale Ion Chromatography. He has worked as a Post Doc at Department of Chemistry and Biochemistry, UTA and as a Senior Scientist in IC at Eurofins, before joining Metrohm USA. He is currently involved in expanding IC applications to more unique and challenging sample matrices.</p><p><strong>Presenter: </strong>Linx Waclaski (Ion Chromatography Product Manager, Metrohm USA)</p><p>Linx Waclaski is the Product Manager for Ion Chromatography at Metrohm USA, in Riverview, Florida. He has years of experience in multiple chromatographic techniques, including ion chromatography, gas chromatography, liquid chromatography, and mass spectrometry, with extensive experience in R&amp;D and applications development. His chromatography applications experience extends across environmental, food safety, and life sciences industries. He has an M.S. in Forensic Science and a B.A. in Biochemistry from Duquesne University.</p></blockquote></div></div></div></div></div>

Metrohm: Level Up Your IC Skills: Essential Calibration Techniques for Every Analyst

Level Up Your IC Skills: Essential Calibration Techniques for Every Analyst

This webinar provides a comprehensive overview of ion chromatography fundamentals, empowering you to achieve precise and reliable results.

Level Up Your IC Skills: Essential Calibration Techniques

<p><strong>Dynamic light scattering (DLS) and multi-angle light (MALS) are non-destructive techniques that provide multi-attribute quantification (MAQ) in a single analysis. They play a critical role in product and process development, as well as quality control.</strong></p><p>In this virtual user meeting, we will cover case studies where light scattering is used in the characterization of complex therapeutics, such as antibody drug conjugates (ADCs), protein-conjugate vaccines (PCVs), and lipid nanoparticles (LNPs).</p><p>Registration is free for this event.</p><h5><strong>Key Takeaways:</strong></h5><ul><li>SEC-MALS provides native state characterization of binary conjugates</li><li>Coupled to liquid chromatography, MALS can be used to calculate DAR, % aggregate, and % free mAb for ADCs</li><li>Bulk characterization of ADCs using DLS can be critical for determining analyte stability</li><li>DLS and MALS can be used for high throughput screening and high-resolution characterization of LNPs, respectively</li></ul><h5><strong>Who should attend:</strong></h5><ul><li>Anyone interested in learning more about light scattering and its applications to complex/conjugated therapeutic characterization</li></ul>

Waters Corporation: From Antibody Drug Conjugates to Lipid Nanoparticles: Complex Therapeutic Characterization using Light Scattering

From Antibody Drug Conjugates to Lipid Nanoparticles: Complex Therapeutic Characterization using Light Scattering

we will cover case studies where light scattering is used in the characterization of complex therapeutics, such as ADCs, PCVs, LNPs.

Complex Therapeutic Characterization using Light Scattering

<p><strong>Are you ready to take your LC-TQ troubleshooting skills to the next level?</strong></p><p><strong>Whether you’re a seasoned expert or just starting out, this session is packed with valuable insights and practical tips to help you maintain and optimize your system’s performance.</strong></p><h5><strong>What to Expect:</strong></h5><p>Unlock the Secrets of LC-TQ: Get a first introduction to troubleshooting and understand why it’s crucial for maintaining optimal performance.</p><ul><li><strong>Tackle Common Challenges:</strong> Learn how to identify and resolve issues like contamination, ion suppression, and clogged nebulizers.</li><li><strong>Preventive Maintenance Tips:</strong> Discover best practices for keeping your system in top shape, including the importance of regular check tunes and effective issue reporting.</li><li>Get useful resources to deepen your knowledge about LC-TQ troubleshooting and guides on where to start</li></ul><p>Come with any questions you might have about troubleshooting your LC/MS Triple Quadrupole system and submit them for the Q&amp;A session.</p><p>We look forward to welcoming you at this webinar!&nbsp;</p><p><strong>Presenter:</strong> Srinivasa Chakravarthy (Field System Specialist &amp; Certified Instructor (Single and Triple Quad LC/MS), Agilent Technologies)</p>

Agilent Technologies: Troubleshoot Your Misbehaving Triple Quadrupole LC/MS

Troubleshoot Your Misbehaving Triple Quadrupole LC/MS

Are you ready to take your LC-TQ troubleshooting skills to the next level?

<p><strong>Join us as we dive into a common challenge faced by research facilities: managing the ever-growing mountain of measurement data. As a facility manager, you’re all too familiar with the constant juggling act of handling sample submissions, data collection, and distribution—all while trying to keep your workflows efficient and your focus on the science.</strong></p><p>In today’s data-driven landscape, adhering to the <strong>FAIR principles</strong>—making your data Findable, Accessible, Interoperable, and Reusable—is not just a best practice but a growing requirement for securing public funding. Funding bodies are increasingly looking for research facilities to demonstrate that their data management processes align with these principles.</p><p>That’s why we’re excited to introduce you to <strong>LOGS </strong>for Facilities, our comprehensive software solution tailored specifically for research facilities like yours. Supported by the powerful automation engine Mnova Gears, LOGS streamlines your entire workflow—from sample submission and automatic data processing to data distribution—into a single, seamless platform that adheres to the FAIR principles.</p><p>In today’s session, we’ll explore how LOGS can simplify your data management processes, helping you save time, reduce errors, and get back to what matters most: <strong>advancing your research by making your data findable - wherever you are.</strong></p><blockquote><p><strong>Presenter:</strong> Peter Bellstedt, PhD (Director of Business Development and Product Manager)</p><p>Peter studied Biochemistry at the University of Jena before completing a PhD on the structural characterization of a DNA repair protein using solution and solid-state NMR. He was then appointed as the head of the NMR Spectroscopy Platform in Jena, Germany, where he pioneered the implementation of modern, highly efficient data-driven workflows. After five years, he moved to the University of Zurich, Switzerland, as a principal investigator, where his lab focused on structure-based drug discovery. This year, he brought his wealth of experience to the LOGS by SciY team, focusing on efficient workflow solutions for research labs and facilities on a global scale.</p></blockquote>

Mestrelab Research: Integrating Measurement Requests, Data Collection, and Data Distribution in One Platform

Integrating Measurement Requests, Data Collection, and Data Distribution in One Platform

In today’s session, we’ll explore how LOGS can simplify your data management processes, helping you save time