In the week of February 16, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Agilent Technologies: From Complex to Simplicity – Get More Peace of Mind on Your HPLC Workflows with InfinityLab Assist</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>Discover how Agilent InfinityLab Assist simplifies LC system control with intuitive multitouch operation, guided troubleshooting, and smart monitoring to boost efficiency and reduce downtime.<h5>2. Thermo Fisher Scientific: Driving the Process Development of Recombinant Therapeutic Products with Automated MS-Based Target Peptide Mapping</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>Explore automated MS-based MAM workflows for peptide mapping, enabling faster CMC decisions and scalable analytics from development to QC readiness.<h5>3. Thermo Fisher Scientific: PFAS Analysis Solutions – Innovations for Today’s Labs</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>Explore the latest challenges and solutions in PFAS analysis for environmental and food testing, including advanced workflows that improve sensitivity, accuracy, and lab efficiency.<h5>4. Phenomenex: Understanding and Applying USP Chapter 621 for Generic Pharmaceutical Applications</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>Learn the key guidelines defined in USP &lt;621&gt; and practical examples of how to apply them in generic pharmaceutical method development.<h5>5. SCIEX: Genome Integrity Analysis of Adeno-Associated Viruses (AAV) by Genome Sizing Using a SCIEX Capillary Electrophoresis System</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>Join this webinar to learn how capillary electrophoresis enables reliable genome integrity analysis of AAV for gene therapy applications.<h5>6. Waters Corporation: The Gold Standard – Achieving Optimal Peptide Purification with Reversed-Phase Chromatography</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>Discover why reversed-phase chromatography remains the gold standard for peptide purification and analytical performance.<h5>7. Axcend: Understanding Capillary LC – Part 5: Detectors, Sensitivity, and MS/UV</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>Join experts to explore MS, UV, and electrochemical detectors at the capillary scale and learn how to achieve reliable sensitivity in capillary LC workflows.<h5>8. Thermo Fisher Scientific: Single Cell and Immunopeptidomics Explorations on Orbitrap Astral MS</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>Discover how Orbitrap Astral MS and Vanquish Neo HPLC enable deep single-cell proteomics and immunopeptidomics from ultra-low-input clinical samples.<h5>9. Evosep Biosystems: Experimental Design Considerations for Scalable Proteomics</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>Explore best practices for experimental design in LC-MS–based proteomics to build robust, reproducible, and scalable analytical workflows.<h5>10. Waters Corporation: Ask Me Anything About Managing Computerized System Risks to Data Integrity</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>Learn practical strategies to manage computerized system risks in regulated laboratories and protect data integrity while ensuring compliance.<h5>11. Shimadzu Corporation: Automating a Comprehensive Amino Acid Panel for Inborn Errors of Metabolism</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>Discover how Shimadzu’s CLAM-2040 automates LC-MS/MS sample preparation to standardize workflows, reduce manual handling, and improve consistency in clinical labs.

Webinars LabRulezLCMS Week 08/2026

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

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

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

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

New Food magazine

Separation Science

Bruker

Shimadzu Corporation

The increasing popularity of extra virgin olive oil (EVOO) and the increasing problem of food fraud have provided the need for quality and authenticity control. Typical problems are the mislabeling of protected designation of origin (PDO) or edible oil adulteration. In this presentation we give an overview about the capabilities of different mass spectrometric methods to accurately determine the PDO of EVOO.
<ul>
<li>Multi-class LC-MS and GC-MS methodologies together with statistical methods enable the discrimination between different PDOs, identifying potential origin markers.</li>
<li>The combined use of non-targeted and targeted approaches enhances the outcome of the study. GC-APCI-QTOF preserves the pseudo-molecular ion information, which is a great advantage and facilitates the identification.</li>
<li>Co-eluting isomers maybe PDO markers and these can be identified and characterized by timsTOF technology.</li>
<li>Rapid LC-free, magnetic resonance mass spectrometry (MRMS) analysis was used for mapping and quality control assessment of EVOO using statistical methods which allows for clustering according to geographical origin, harvesting year, cultivation practice and the oil production procedure.</li>
</ul>
<h5>Key Topics</h5>
<ul>
<li>Introduction to food authenticity using the example of EVOO and the application of new software tools, in combination with UHPLC-QTOF and GC-APCI-QTOF, to identify origin markers.</li>
<li>Introduction into timsTOF technology and the separation of isomeric markers by timsTOF.</li>
<li>Application of LC-free, magnetic resonance mass spectrometry (MRMS) for rapid quality control assessment of extra virgin olive oil.</li>
</ul>
<h5>Who should attend?</h5>
<ul>
<li>Scientist working in the field of food research and foodomics interested in determining authenticity and/or adulteration of edible oils.</li>
<li>Scientists wishing to learn about powerful new techniques to separate isobaric isomers by mass spectroscopic techniques.</li>
</ul>
<blockquote>
Presenter: Dr. Carsten Baessmann
</blockquote>
<blockquote>
Dr. Carsten Baessmann is responsible for the development of new mass spectrometry-based solutions in the applied markets. His responsibilities include managing collaborations with leading researchers in food, environmental, forensics and clinical analysis. He is also responsible for driving the necessary hardware and software development. Dr. Baessmann holds a PhD in physical chemistry from the Technical University of Munich in the development of new mass spectrometric and laser spectroscopic methods. He has held various management positions in research and development and application development at Bruker for 22 years.
</blockquote>

Pixabay/engin akyurt: Application of new mass spectrometric methods and workflows to determine authenticity of food

Application of new mass spectrometric methods and workflows to determine authenticity of food

Vitamin B and D are important micronutrients to maintain good health. They are often fortified in various foods such as infant and adult formulae for added health benefits. Over the years, there are many AOAC methods dedicated to the analyses of different vitamin B and vitamin D compounds in infant and adult formulae. In recent years, many AOAC methods use LC-MS/MS to analyse both these vitamins. In this webinar, I will discuss about the different AOAC methods and the sample preparations in the analysis of vitamin B and D. I will also share some of the application development works done closely following AOAC methods using Shimadzu LC-MS/MS.
<h3>Learning Objectives</h3>
<ul>
<li>Review of AOAC analysis methods for Vitamin B and D, and explore the use of LC-MS/MS in AOAC methods</li>
<li>Understand the development of AOAC methods in Shimadzu lab</li>
</ul>
<blockquote>
Presenter: Chew Yin Ling (LC/LCMS Application chemist, Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Yin Ling graduated from National University of Singapore (NUS) with a bachelor’s degree in Applied Chemistry. Currently, she is an LC/LCMS application chemist in the Centre for Application Solutions in Shimadzu Asia Pacific. She has 6 years of experience in method development for various LC and LCMS applications. She also focuses on different sample preparation techniques such as solid-phase extraction and QuEChERS for different matrices, especially food matrices.
</blockquote>

LC-MS/MS methods for vitamin B and D analyses as per AOAC methods in infant and adult formulae

<h3>This presentation will cover:</h3>
<ul>
<li>Some introspection</li>
<li>How you view your analytical system</li>
<li>MS and MS/MS 101</li>
<li>Anatomy of an LC system</li>
<li>Is mass spec &#39;just a detector&#39;?</li>
<li>Anatomy of an LC-MS(MS) system</li>
<li>Low vs High resolution method development</li>
<li>Advantages and disadvantages of LC-MS(MS)</li>
<li>HPLC vs LC-MS(MS) method development</li>
</ul>
<blockquote>
Presenter: Stephen Brookes (LC/MS Technical Sales Specialist, Shimadzu UK Limited)
</blockquote>

Shimadzu: LC-MS(MS) Method Development: HPLC vs LC-MS(MS) Method Development

LC-MS(MS) Method Development: HPLC vs LC-MS(MS) Method Development

Nitrosamine compounds are classified as probable human carcinogens by the International Agency for Research on Cancer (IARC). Ever since the first U.S. Food and Drug Administration (FDA) notification in June 2018 about levels of these impurities in pharmaceutical API, they have been a reason of continuous discussion globally for analytical scientist, patients and regulators.
After June 2018, the number of recalls and 483’s have been on a rise for not only angiostenin II receptor blockers (-ARB, also called as sartans) but also for other products like Ranitidine, Metformin etc. FDA, European Medicine Agency (EMA) and International Council for Harmonisation (ICH) have constantly set and update the guidelines in measuring impurities in pharmaceutical products.
<h3>Q&amp;A Panel Discussion along with our Expert Panelists:</h3>
<ul>
<li>Dr. Mrunal Jaywant (Senior Director – R&amp;D, USP India)
</li>
<li>Pravin Makwana (General Manager - QC, J.B.Chemicals &amp; Pharmaceuticals Ltd.)
</li>
<li>Nilesh Dhamorikar (Director, QbD Research and Development Lab Pvt Ltd)
</li>
</ul>
<blockquote>
Presenter: Dheeraj Handique (Deputy Manager-CSC, Shimadzu Analytical (India) Pvt. Ltd)
</blockquote>
<blockquote>
Dheeraj Handique is working as Deputy Manager-CSC at Shimadzu Analytical (India) Pvt. Ltd. since 2008. He holds a Post-Graduate Diploma in Analytical Chemistry from Bombay Institute of Technology, Mumbai, with total experience of 17 years in analytical field industries.
</blockquote>
<blockquote>
At Shimadzu, his role involves pre-sales and post-sales application support to pharma, chemical, food safety and flavor and fragrance industry customers pertaining to trouble shooting, tech transfer, method development and validation. His key areas are to suggest complete system configuration with total solution related to GC, GCMS/MS instruments to customers. To his credit he has around 30 posters published in international conferences.
</blockquote>
<blockquote>
His expertise lies in analysis of drug substances and products, various food matrices, flavor and fragrance matrices with cutting edge technology like GCMS/GCMSMS/HS/TD from Shimadzu with hands on experience on critical sample preparation steps involved. He delivers lectures on Gas chromatography and mass spectrometry, headspace and thermal desorption techniques at various national conferences.
</blockquote>
<blockquote>
Also, he has been very actively involved in the performance evaluation of various chromatographic and advanced technologies available with Shimadzu like GC, GCMS, GCMSMS, HS, TD etc.
</blockquote>
<blockquote>
Presenter: Shailendra Rane (Ph.D.) (Deputy Manager-CSC, Shimadzu Analytical (India) Pvt. Ltd)
</blockquote>
<blockquote>
Dr. Shailendra Rane is Ph.D. in chemistry from Mumbai university and currently working with Shimadzu Analytical (India) Pvt. Ltd. as Deputy Manager CSC since 2008. At Shimadzu, his role involves pre- and post-sales application support to pharma, food safety and bio-similar customers pertaining to trouble shooting, tech transfer, method development and validation. To his credit he has 10 publications in various international journals of repute and around 35 posters he published in national and international conferences.
</blockquote>
<blockquote>
His expertise lies in analysis of drug substances and products, various food matrices and bio-molecules with cutting edge technology like LCMS/LCMSMS from Shimadzu with hands on experience on critical sample preparation steps involved. He delivers lectures on liquid chromatography and mass spectrometry at various national conferences. Also, he has been very actively involved in the performance evaluation of various chromatographic and advanced technologies available with Shimadzu like SFC, MALDI-ToF etc.
</blockquote>
<blockquote>
Presenter: Rashi Kochhar Rebello (Manager, Marketing Communications, Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Rashi has been part of Shimadzu for 13 years now. She has worked extensively with Chromatographic and MS solutions in different capacities. Her expertise lies in supporting workflows for different markets and segments including Biopharma, Pharma and Food. With this background, her current role is to design communication packages for analytical solutions in Shimadzu Asia Pacific.
</blockquote>

Shimadzu: Confidently Analyse Nitrosamine Impurities by GC-MS/MS & LC-MS/MS

Confidently Analyse Nitrosamine Impurities by GC-MS/MS & LC-MS/MS

High-resolution, accurate-mass (HRAM) mass spectrometers (MS) are a class of MS instrumentation with capability to resolve complex sample matrix and to allow identification of compounds by measuring their accurate masses.
In particular, those coupled to liquid chromatograph (HRAM LC/MS) have been used extensively for structural elucidation of unknown compounds primarily in chemical industry (impurity analysis) and biological researches (proteomics, metabolomics, lipidomics), but also increasingly in forensic science, food safety and environmental testing. Given the recent reduction of instrumentational cost, it will not take many more years until HRAM analysis becomes a versatile tool for all industries and researches. 
The key performance attribute underlying all application fields is mass measurement accuracy (MMA) as it affords molecular specificity and reduction of false positive results. MMA is given in the specification of HRAM instruments in parts-per-million (ppm), frequently stating a result of a set of representative measurements e.g. “&lt;1 ppm RMS”. However, this by itself does not convey how repeatably and reproducibly this MMA can be achieved. 
The webinar describes various metrics that are relevant to statistical interpretation of MMA, which explain why mass resolution of 30,000 is more than sufficient for mass measurement at sub-ppm accuracy. Using the Shimadzu LCMS-9030 quadrupole time-of-flight MS, the rationale and strength of instrument stability for consistently achieving sub-ppm MMA has been demonstrated in small molecules.
Learning objectives:
Discuss how various parameters affect the accuracy of mass measurement Demonstration of mass drift caused by temperature change Learn how to assess whether a HRAM MS is practically capable of measuring at sub-ppm mass accuracy
<blockquote>
Presenter: Atsuhiko (Ash) Toyama, PhD (MS Application Specialist, Analytical &amp; Measuring Instruments Division, Shimadzu Corporation)
</blockquote>
<blockquote>
Ash Toyama has 10 years of proteomics research experience. His areas of expertise include not only proteomics but also quantitative mass spectrometry with particular focus on bioanalysis, metabolomics and endocrinology. At Shimadzu Corporation he played roles in academic research collaborations, application development and specification development of mass spectrometers. Ash holds a Master of Science degree in Biochemistry from University of Cambridge, UK, and was granted a Ph.D. degree in Biological Sciences from University of Tokyo for his research on clinical proteomics.
</blockquote>

Shimadzu: Understand the rationale behind the Q-TOF LC/MS that stably sustains sub-ppm mass accuracy.

Understand the rationale behind the Q-TOF LC/MS that stably sustains sub-ppm mass accuracy.

Various metrics that are relevant to statistical interpretation of MMA, which explain why mass resolution of 30,000 is more than sufficient.

Understand the rationale behind the Q-TOF LC/MS

The widespread use of pesticides and the societal pressure to manufacture the purest, safest natural products mandates development of methods for precise determination of pesticide residues in botanical ingredients. Pesticide residue analysis of plant based dry ingredients used in dietary supplements is among the most difficult to perform due to complexity of the matrices.
Furthermore, implementation of a multi-residue pesticide screening program in a quality control environment can be quite difficult and time consuming. Therefore, many companies turn to specialized contract laboratories to perform such comprehensive testing. Although third party testing is commonly utilized, the in-house pesticide residue screen provides an additional layer of quality control and further ensures the safety of manufactured products.
Optimization of the critical parts of the process such as sample preparation procedure, analysis of the samples and data processing and reporting guarantees a robust and a productive workflow. At NOW Foods, two analytical platforms, GC-MS/MS and LC-MS/MS were utilized in the development of a high throughput workflow to screen a total of 500 pesticide residues in botanical matrices. Sample preparation was optimized for groups of botanical matrices and targeted towards matrix mitigation. The robustness of both platforms was evaluated over time when analyzing matrix heavy samples.
The GC-MS/MS analysis was performed on a TSQ9000 and the compound separation was optimized on a TG-5SILMS column. The LC-MS/MS analysis was performed on a TSQ Altis paired with a Vanquish LC. The chromatographic separation of the 254 compounds was achieved in 20 min. Data processing and reporting was streamlined by utilizing the Chromeleon software across both platforms.
The optimized workflow allows for a high throughput analysis of samples in a regulated quality control environment.
<h5>By attending this webinar you will learn about:</h5>
<ul>
<li>optimization of LC-MS and GC-MS workflows for pesticide analysis in food</li>
<li>techniques for extracting difficult food matrices</li>
<li>the use of Chromeleon software to streamline sample reporting</li>
</ul>
<blockquote>
Presenter: Katie Banaszewski (NOW Foods)
</blockquote>
<blockquote>
Katie Banaszewski is a Method Development Supervisor at NOW Foods, where she leads the development and validation of analytical methods. Prior to joining NOW Foods she worked at the Institute for Food Safety and Health and Mars Snackfood US. Katie specializes in mass spectrometry applications and residue analysis, and leads the development and implementation of a routine pesticide residue monitoring program at NOW Foods.
</blockquote>

Pixabay/Bruno Glätsch: Solving the Challenges and Workflow Dilemma of High-throughput Multi-residue Pesticide Screening Program in a Quality Control Environment

Solving the Challenges and Workflow Dilemma of High-throughput Multi-residue Pesticide Screening Program in a Quality Control Environment

Routine testing laboratories continue to strive for efficient and reliable sample throughput. Multiresidue pesticides is an example of this, where the generic extraction offered by QuEChERS has streamlined sample preparation. However, for comprehensive pesticide testing, both liquid and gas chromatography are typically required.
<h3>Join us to learn about:</h3>
<ul>
<li>Fit-for-purpose, comprehensive analysis of pesticides in a selection of foodstuffs, by LC- and GC-MS/MS</li>
<li>Key considerations and easy-to-use tools to maximise your method performance</li>
<li>Testing in compliance with the relevant guidelines of SANTE 11813/2017</li>
</ul>
<blockquote>
Presenter: Kari Organtini, Ph.D. (Senior Scientist, Waters Corporation)
</blockquote>
<blockquote>
Kari received her Ph.D. from Penn State studying the occurrence of dioxins and furans in fire debris. Since 2015 she has been a Senior Scientist at Waters focusing on food and environmental sample analysis.
</blockquote>

Pixabay/Jerzy Górecki: Maximizing Mass Spectrometry Capabilities in Food Analyses for Multiresidues

LCMS webinars focusing on LC/MS/MS - page 107