<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

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Waters SELECT SERIES Cyclic IMS

The SELECT SERIES Cyclic IMS combines novel cyclic ion mobility separation with state-of-the-art, high performance, time-of-flight mass spectrometry.

<div><div id="title-c6692d35e8" data-locator="title-with-text"><h3><strong>Endless possibilities. Limitless research.</strong></h3></div></div><div><div id="text-ba9d3d94da" data-locator="text"><p><strong>Developed through focused collaboration, the SELECT SERIES Cyclic IMS combines novel cyclic ion mobility separation with state-of-the-art, high performance, time-of-flight mass spectrometry, enabling leading researchers to unlock the potential in scientific discovery.</strong></p><p>The SELECT SERIES Cyclic IMS enables selection of ions by both mass and mobility, a unique functionality of <strong>Cyclic Ion Mobility (cIM)</strong> that provides unparalleled flexibility and capabilities for research studies in both academia and industry. With ion mobility and mass spectrometry, you can separate by shape as well as&nbsp;<i>m/z</i>&nbsp;for separation of isomers, measure the <strong>Collisional Cross Section (CCS)</strong> of an ion, and achieve significantly cleaner mass spectral data.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SELECT_SERIES_Cyclic_IMS_Novel_Cyclic_Ion_Mobility_c_IM_Technology_13abf6dd9b.jpg" alt="Waters SELECT SERIES Cyclic IMS: Novel Cyclic Ion Mobility (cIM) Technology." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SELECT_SERIES_Cyclic_IMS_Novel_Cyclic_Ion_Mobility_c_IM_Technology_13abf6dd9b.jpg 234w," sizes="100vw" width="1024" height="682"></p><h3><strong>Overview</strong></h3><div data-locator="section-container-body"><div><div><div data-locator="layoutcontainer-"><div><div id="text-26eab4b89b" data-locator="text"><ul><li>Combine <strong>cyclic ion mobility (cIM) separation</strong> with <strong>ToF mass spectrometry</strong></li><li>Separate more than ever before with ultimate ion mobility resolution for complete confidence</li><li>Perform <strong>unique IMS<sup>n</sup> experiments</strong> for increased selectivity and advanced characterization</li><li>Enable <strong>pre-mobility mass selection</strong> and <strong>mobility selection of precursor and product ions</strong></li><li>Achieve increased experimental flexibility for solving complex problems with three distinct fragmentation regions</li></ul></div></div><div><div id="text-36ff553b5f" data-locator="text"><h3><strong>Recommended Use</strong></h3><p>For identifying and rapidly monitoring co-eluting, isomeric metabolites in chemical reactions</p><blockquote><p class="cke-user_style-important"><strong>Video: </strong><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=nauwVH0L91o"><strong>Waters SELECT SERIES Cyclic IMS</strong></a></p></blockquote><div><div id="text-8469d7776e" data-locator="text"><h3 data-locator="modal-title"><strong>Discover more with ultimate ion mobility resolution</strong></h3><p>The instrument design and control software enable a range of experiments, including acquisition of Tof data, Single pass ion mobility, and the ability to scale mobility resolution to match the complexity of a sample. Ion mobility resolution increases with the length of the mobility device and therefore with the number of passes.</p><figure class="image"><img style="aspect-ratio:1024/682;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SELECT_SERIES_Cyclic_IMS_IMS_resolution_increases_with_the_number_of_passes_around_the_c_IM_device_121719dbe0.jpg" alt="Waters SELECT SERIES Cyclic IMS: IMS resolution increases with the number of passes around the cIM device. Demonstrated here by the separation of reverse sequence peptides SDGRG and GRGDS. The Arrival Time Distributions (ATDs) obtained after 100 passes around the device are inset." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SELECT_SERIES_Cyclic_IMS_IMS_resolution_increases_with_the_number_of_passes_around_the_c_IM_device_121719dbe0.jpg 234w," sizes="100vw" width="1024" height="682"></figure><div><div id="text-bb2fb9f91c" data-locator="text"><h3 data-locator="modal-title"><strong>Unlock the potential in scientific discovery</strong></h3><p>The unique instrument design of the SELECT SERIES Cyclic IMS&nbsp;facilitates advanced ion mobility experiments like IMS<sup>n</sup>&nbsp;isolation. IMS<sup>n</sup>&nbsp;isolation&nbsp;extends the resolution of a specific mobility range,&nbsp;<i>e.g.,</i>&nbsp;ions of a specific species. Eject ions (without acquisition) outside of the desired mobility range, leaving the remaining species in the cIM to continue the separation process. This “trimming” approach can be undertaken numerous times and can be used, for example, to increase specificity of the selected ions or to prevent “wrap-around” in the cIM where high mobility ions catch up with low mobility ions in multi-pass experiments. Multiple cyclic sequences of different numbers of passes can be defined in one, multi-pass LC-MS method, increasing productivity by reducing the need for multiple injections of the same sample.</p></div></div><figure class="image"><img style="aspect-ratio:1024/578;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SELECT_SERIES_Cyclic_IMS_Investigation_into_acyl_glucuronides_via_infusion_f3bf2c67e2.jpg" alt="Waters SELECT SERIES Cyclic IMS: Investigation into acyl glucuronides via infusion. Slicing enables further IMS separation of target metabolite (blue region) of interest and other ions can be ejected. Increasing the IMS resolution reveals an additional 4-O acyl. In collaboration with Imperial College London – Ian D. Wilson." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SELECT_SERIES_Cyclic_IMS_Investigation_into_acyl_glucuronides_via_infusion_f3bf2c67e2.jpg 245w," sizes="100vw" width="1024" height="578"></figure><div><div id="text-78a4dc4d5e" data-locator="text"><h3 data-locator="modal-title"><strong>Undertake advanced structural characterization</strong></h3><p><strong>IMS<sup>n</sup>&nbsp;activation</strong>&nbsp;is ideal for <strong>advanced structural characterization</strong>. During mobility separation, excise a segment of the mobility separated species and send the ions to the pre array storage device. Unwanted ions are ejected, and the stored ions are then re-injected into the array under collision induced activation/dis-sociation conditions, as required, and subsequent mobility separation performed. The product ions can then be sent to the&nbsp;Tof<i>&nbsp;</i>for detection or can undergo further rounds of mobility selection providing the unique IMS<sup>n</sup>&nbsp;capability.</p></div></div><div><div id="text-079d02ceb8" data-locator="text"><h3 data-locator="modal-title"><strong>Imaging mass spectrometry with DESI XS and Cyclic IMS</strong></h3><p>The unique combination of&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?instrumentationItems=26&amp;mainauthorItems=5&amp;search=DESI+XS"><strong>DESI XS</strong></a><strong>&nbsp;</strong>with SELECT SERIES Cyclic IMS provides ultimate levels of specificity for <strong>MS imaging</strong> approaches. DESI XS produces a visual map of the spatial distribution of a wide range of analytes, for example small molecule drugs, metabolites, and lipids across the surface of a tissue sample, and the unique capabilities and modes of acquisition of Cyclic IMS enable comprehensive in-depth experiments to be performed.</p></div></div><div><div id="text-673d117887" data-locator="text"><h3 data-locator="modal-title"><strong>Increased sensitivity provides confidence in what you find</strong></h3><p>To complement the novel <strong>Cyclic Ion Mobility</strong> capability and for complete confidence in your data, the&nbsp;SELECT SERIES&nbsp;Cyclic IMS is equipped with the latest <strong>ToF technology</strong>. The XS transfer device maintains the fidelity of the ion mobility separation while simultaneously conditioning the ion beam for the absolute best time-of-flight performance. The new offset oa-Tof with dual gain detection system <strong>provides improved sensitivity, resolution &gt;100,000 (FWHM), reliable accurate exact mass measurements</strong> (low ppm), and <strong>improved dynamic range</strong>.</p><figure class="image"><img style="aspect-ratio:1024/682;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mass_spectrum_highlighting_resolution_of_100_000_FWHM_on_the_7_charge_state_of_monomeric_9ff8f53204.jpg" alt="Waters SELECT SERIES Cyclic IMS: Mass spectrum highlighting resolution of >100,000 (FWHM) on the 7+ charge state of monomeric." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mass_spectrum_highlighting_resolution_of_100_000_FWHM_on_the_7_charge_state_of_monomeric_9ff8f53204.jpg 234w," sizes="100vw" width="1024" height="682"></figure></div></div></div></div></div></div></div></div></div></div></div></div>

Waters SYNAPT XS High Resolution Mass Spectrometer

The SYNAPT XS Ion Mobility Time-of-Flight Mass Spectrometer provides ultimate flexibility, offering greater freedom of analytical choice to support scientific creativity and technical success for any application.

<div><div><h4><strong>Ultimate flexibility for deeper discovery</strong></h4></div></div><div><div><p><strong>In the arena of scientific discovery, the slow pace of advancement and escalating costs of research can prove to be a challenge. Unlike competitor systems with restricted inlet options, scan function limitations, or requiring multiple platforms, only Waters offers an all-encompassing high-performing LC-MS solution, the SYNAPT XS mass spectrometer, for ultimate flexibility and greater freedom of analytical choice – supporting scientific creativity and technical success for any application.</strong></p><ul><li><strong>Novel technology building blocks deliver cutting-edge analytical performance</strong></li><li><strong>SONAR</strong> and <strong>HDMSE</strong> provide a unique toolkit for interrogating complex mixtures</li><li><strong>Ion mobility</strong> multiplies peak capacity and selectivity of analysis</li><li><strong>CCS measurements</strong> increase security of compound identification</li><li><strong>Deeper discovery in Mass Spectrometry Imaging</strong> with<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://www.waters.com/waters/Full-Spectrum-Molecular-Imaging-/nav.htm?cid=135070661"><strong>Full Spectrum Molecular Imaging</strong></a> enabled by <a target="_blank" rel="noopener noreferrer" href="https://www.waters.com/waters/DESI-XS---Desorption-Electrospray-Ionization-/nav.htm?cid=135047466"><strong>DESI XS</strong></a> and MALDI</li></ul><h4><strong>Overview</strong></h4><div><div><div><div><ul><li><strong>Serve the broadest range of applications </strong>with the most extensive range of chromatograph inlets for ultimate flexibility</li><li><strong>Attain fragment ion information for every detectable component</strong> for unambiguous confirmation of compound identity with DIA modes <strong>SONAR</strong>, MSE, and <strong>HDMSE</strong></li><li><strong>Generate rich fragmentation data</strong> from highly complex samples in all acquisition modes including DDA</li><li>Simplify and streamline the mass spectral imaging workflow and deliver multi-layered, information-rich data with multiple imaging techniques and accompanying High Definition Imaging (HDI) Software</li><li><strong>Achieve automated higher order structure determination </strong>thorough confident identification, intact mass analysis, and best-in-class reproducibility</li><li><strong>Enhance MS/MS possibilities</strong> using complementary fragmentation techniques with high resolution and accurate mass measurements</li></ul></div></div><div><div><h5><strong>Recommended Use</strong></h5><p>For deeper discovery by aligning complimentary workflows on a single <strong>Ion mobility</strong> enabled time-of-flight mass spectrometer with the flexibility of multiple ion sources and acquisition modes.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_4_696d77ce2b.jpg" alt="Waters SYNAPT XS High Resolution Mass Spectrometer: The Waters SYNAPT XS offers flexibility and freedom of analytical choice with an extensive range of chromatographic inlets." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_4_696d77ce2b.jpg 234w," sizes="100vw" width="1024" height="682"></p><div><div><h3><strong>Cutting edge performance with novel technology</strong></h3><p>With technology building blocks inherited from the <strong>Waters Advanced Mass Spectrometry</strong> <strong>SELECT SERIES</strong>, advanced innovation is built-in, ensuring scientists using this platform are at the cutting edge of mass spectrometry while retaining the ease of use and established end-to-end workflows for which the <strong>SYNAPT </strong>is well known.</p><ul><li><strong>StepWave&nbsp;XS -&nbsp;</strong>Redesigned segmented quadrupole transfer optics provide enhanced sensitivity for challenging compounds while further improving levels of analytical robustness.</li><li><strong>Extended ToF -&nbsp;</strong>Delivers UPLC-compatible mass resolution, matrix-tolerant dynamic range, and quantitative results for the most complex samples, while offering superior specifications to previous SYNAPT models.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_9f19abb382.jpg" alt="Waters SYNAPT XS High Resolution Mass Spectrometer: SYNAPT XS schematic." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_9f19abb382.jpg 245w," sizes="100vw" width="1024" height="546"></p></div></div><div><div><h3><strong>Interrogate complex mixtures with a unique toolkit</strong></h3><p>A complete analytical strategy requires the combination of appropriate complementary techniques to see the bigger picture. With both <strong>SONAR</strong> and IMS-based <strong>data independent acquisition</strong> (DIA) modes of operation on the SYNAPT XS, the discovery analyst is in a unique position to interrogate complex mixtures by complementary mechanisms. Both types of acquisition increase analytical <strong>peak capacity</strong>, providing ‘clean and clear’ fragmentation data, but based on different molecular properties. This provides a truly unique investigative toolbox for the in-depth interrogation of complex mixtures.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_2_9179e575a4.jpg" alt="Waters SYNAPT XS High Resolution Mass Spectrometer: During each scan the quadrupole separates co-eluting precursor masses by scanning the mass range, and transiting them in sequence. Fragment ions from different precursors can then be recorded separately and assigned with confidence." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_2_9179e575a4.jpg 245w," sizes="100vw" width="1024" height="593"></p></div></div><div><div><h3><strong>Discover more with ion mobility and CSS measurement</strong></h3><p>Conventional mass spectrometers separate components based on m/z. The SYNAPT XS also allows separation of molecules according to<strong> their size, shape, and charge during ion mobility experiments as a function of their collisional cross section</strong> (CCS). As well as ion mobility offering an additional dimension of resolution, multiplying <strong>peak capacity</strong>, and <strong>selectivity of analysis</strong> the measurement of CCS offers additional molecular identifiers. The measured CCS of an ion can be used to help confirm an ion’s identity or investigate its structure. The inclusion of ion mobility significantly increases the extent and confidence with which a scientist can profile complex mixtures and complex molecules – dramatically enhancing sample definition.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_3_2240bff527.jpg" alt="Waters SYNAPT XS High Resolution Mass Spectrometer: Retention and drift time principle ion mobility enabled data-independent LC-HDMSE analysis (LC-DIA-IM-MS)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_3_2240bff527.jpg 204w," sizes="100vw" width="1024" height="784"></p></div></div><div><div><h3><strong>Achieve ultra-confident structural characterization of components</strong></h3><p>Time aligned parallel (TAP) fragmentation is an acquisition mode unique to the T-Wave IMS design. It permits users to take the advantage of the <strong>TriWave configuration</strong>, which allows the pre-IMS T-Wave and post-IMS T-Wave to operate as two separate collision cells. The resultant CID-IMS-CID instrumental operation helps to provide ultra-confident structural characterization of components. <strong>TAP fragmentation</strong> provides a distinct advantage for building a complete structure, through superior fragment ion coverage, sensitivity, and accuracy compared to traditional MSⁿ or MS/MS techniques.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_5_4dd33f1ab5.jpg" alt="Waters SYNAPT XS High Resolution Mass Spectrometer: Schematic showing Time Aligned Parallel Fragmentation. " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Waters_SYNAPT_XS_High_Resolution_Mass_Spectrometer_5_4dd33f1ab5.jpg 234w," sizes="100vw" width="1024" height="682"></p></div></div></div></div></div></div></div></div>

Products from category Mass detectors focused on Ion Mobility from Waters - page 1

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