<p><strong>🎤Dan Reddy </strong>(PhD candidate in the Department of Chemistry at Queen's University and a recipient of the NSERC Vanier Canada Graduate Scholarship. He was recently named one of the top 35 early-career scientists globally in the 2025 CAS Future Leaders program.)</p><p><strong>In this episode, we interview Daniel Reddy, 2025 CAS Future Leader and PhD candidate at Queen's University, about his groundbreaking research on automated mass spectrometry and dried matrix spots (DMS).</strong></p><p>Dan's work combines computer vision, 3D printer automation, and laser micromachining to revolutionize sample preparation—reducing CO₂ emissions by 28-fold and organic solvent use by 21-fold compared to traditional methods.</p><h4><strong>What You'll Learn:</strong></h4><ul><li>How to give a mass spectrometer "sight" and "taste" using computer vision and the LMJ-SSP (Liquid Microjunction Surface Sampling Probe)</li><li>The breakthrough technology behind Surface Energy Traps (SETs) for confining liquid droplets on paper substrates</li><li>Why dried matrix spots eliminate the need for cold-chain shipping and enable analysis of blood, urine, and saliva samples via standard mail</li><li>How DIY chemists are hacking 3D printers to build cost-effective autosamplers (replacing $10K+ systems)</li><li>The role of green chemistry and systems thinking in modernizing analytical methods</li><li>Why interdisciplinary collaboration (chemistry + computer science) is critical to innovation</li></ul><h4><strong>Key Topics:</strong></h4><ul><li>Dried Matrix Spots (DMS) for automated sample prep</li><li>Laser-micromachined Surface Energy Traps</li><li>Direct surface sampling mass spectrometry</li><li>Sustainability in analytical chemistry</li><li>3D printer customization for laboratory automation</li><li>The importance of science communication and community outreach</li></ul><h3><strong>Video Transcription</strong></h3><h4><span><strong>Introduction</strong></span></h4><p>Recent advances in analytical chemistry increasingly focus on simplifying workflows, improving sustainability, and enabling automation. In this context, the work of <span>Dan Reddy</span> centers on the concept of <i>“bringing mass spectrometry to life”</i> through the integration of automated sampling, computer vision, and dried matrix spot (DMS) methodologies.</p><p>The primary objective is to enable efficient and reproducible analysis of biological and liquid samples—such as blood, urine, saliva, or other solutions—by depositing them onto substrates, drying them, and extracting meaningful analytical information directly via mass spectrometry.</p><h4><span><strong>Conceptual Framework: Enabling “Sight” and “Taste” in Mass Spectrometry</strong></span></h4><p>A central innovation in this work is the conceptual transformation of mass spectrometry from a passive analytical tool into an active, semi-autonomous system.</p><ul><li><strong>“Sight”</strong> is introduced through <strong>camera-based computer vision</strong>, allowing the system to identify predefined patterns on a substrate.</li><li><strong>“Taste”</strong> is implemented via a <strong>liquid microjunction surface sampling probe (LMJSSP)</strong>, which enables direct extraction of analytes from surfaces.</li></ul><p>The LMJSSP consists of two concentric capillaries forming a continuously flowing microdroplet. When brought into contact with the sample surface, this droplet facilitates localized extraction, effectively enabling direct surface analysis without traditional chromatographic separation.</p><p>Combined with an automated positioning system (adapted from 3D printer mechanics), the platform can autonomously locate sampling sites and perform reproducible measurements.</p><h4><span><strong>Dried Matrix Spots as an Analytical Platform</strong></span></h4><h5><span><strong>Principle and Advantages</strong></span></h5><p>Dried matrix spots involve depositing a small volume of liquid sample onto a substrate (commonly paper), followed by drying. This approach offers several advantages:</p><ul><li>Reduced need for cold-chain transport</li><li>Simplified sample handling and storage</li><li>Compatibility with remote or decentralized sampling</li><li>Lower solvent consumption</li></ul><p>These features contribute significantly to greener analytical workflows and improved logistical efficiency.</p><h5><span><strong>Sustainability Impact</strong></span></h5><p>The implementation of DMS-based workflows has demonstrated:</p><ul><li>Up to <strong>28-fold reduction in CO₂ emissions</strong></li><li>Up to <strong>21-fold reduction in organic solvent use</strong></li></ul><p>These improvements arise from eliminating cold-chain logistics and minimizing solvent-intensive preparation steps.</p><h4><span><strong>Surface Energy Traps (SCTs): Controlled Micro-Sampling Environments</strong></span></h4><h5><span><strong>Definition and Fabrication</strong></span></h5><p>Surface Energy Traps (SCTs) are microstructured regions on a substrate designed to confine liquid droplets within defined boundaries.</p><p>The fabrication process involves:</p><ol><li>Coating paper with a <strong>hydrophobic layer</strong></li><li>Using <strong>laser ablation</strong> to selectively remove the coating in defined patterns</li><li>Creating <strong>hydrophilic circular regions</strong> (typically ~0.5 mm diameter)</li></ol><p>These patterned regions act as micro-wells that confine droplets spatially and prevent lateral diffusion.</p><h5><span><strong>Analytical Benefits</strong></span></h5><p>SCTs address key limitations of traditional dried matrix spots:</p><ul><li><strong>Improved spatial confinement</strong> of analytes</li><li><strong>Reduced diffusion variability</strong></li><li><strong>Enhanced reproducibility</strong></li><li><strong>Preconcentration effects</strong> due to controlled drying</li></ul><p>Additionally, the SCT diameter is smaller than the sampling probe, enabling near-complete analyte collection during surface extraction.</p><h4><span><strong>Drying Dynamics and Analyte Distribution</strong></span></h4><p>Traditional dried matrix spots often suffer from the <strong>“coffee-ring effect”</strong>, where analytes redistribute unevenly during drying. This leads to variability depending on sampling location.</p><p>The SCT approach mitigates these effects by:</p><ul><li>Limiting diffusion area</li><li>Maintaining analytes near the surface</li><li>Producing more uniform analyte distribution</li></ul><p>Preliminary investigations (e.g., via SEM imaging) indicate improved homogeneity, although further studies are needed to fully characterize drying kinetics and their influence on signal intensity.</p><h4><span><strong>Integration with Automated Sampling Systems</strong></span></h4><h5><span><strong>3D Printer-Based Positioning</strong></span></h5><p>A key engineering innovation is the repurposing of <strong>3D printer hardware</strong> for automated sample positioning:</p><ul><li>Provides cost-effective XYZ motion control</li><li>Enables programmable sampling routines</li><li>Supports integration with analytical instrumentation</li></ul><p>Custom software—developed in collaboration with computer engineers—allows users to define coordinates, dwell times, and sampling parameters.</p><h5><span><strong>Computer Vision Integration</strong></span></h5><p>The addition of computer vision enables:</p><ul><li>Pattern recognition (e.g., alignment markers near SCTs)</li><li>Autonomous targeting of sampling locations</li><li>Reduced operator intervention</li></ul><p>This transforms the system into a semi-autonomous analytical platform.</p><h4><span><strong>Comparison with Conventional Workflows</strong></span></h4><p>Compared to traditional LC-MS or GC-MS workflows, the presented approach offers:</p><div><div><figure class="table"><table><thead><tr><th>Aspect</th><th>Conventional Methods</th><th>SCT + LMJSSP Approach</th></tr></thead><tbody><tr><td>Sample prep</td><td>Multi-step, solvent-intensive</td><td>Minimal, direct surface sampling</td></tr><tr><td>Chromatography</td><td>Required</td><td>Potentially bypassed</td></tr><tr><td>Throughput</td><td>Moderate</td><td>High (automated)</td></tr><tr><td>Sustainability</td><td>Limited</td><td>Significantly improved</td></tr></tbody></table></figure></div></div><p>While chromatographic methods remain essential for many applications, this approach provides a complementary pathway for rapid screening and targeted analyses.</p><h4><span><strong>Green Chemistry and Systems Thinking</strong></span></h4><p>A notable aspect of this work is the integration of <strong>systems thinking</strong> into analytical chemistry. Inspired by engagement with organizations such as the <span>American Chemical Society</span> and green chemistry initiatives, the research emphasizes:</p><ul><li>Environmental impact reduction</li><li>Resource efficiency</li><li>Lifecycle considerations</li></ul><p>This perspective expands the role of analytical chemists beyond method performance to broader societal and environmental implications.</p><h4><span><strong>Future Outlook and Applications</strong></span></h4><p>The research is currently at an early stage but shows strong potential for:</p><ul><li><strong>Decentralized diagnostics</strong> (e.g., remote blood sampling)</li><li><strong>Environmental monitoring</strong></li><li><strong>High-throughput screening workflows</strong></li><li><strong>Field-deployable analytical systems</strong></li></ul><p>Further advancements are expected in:</p><ul><li>Substrate engineering</li><li>Automation robustness</li><li>Integration with advanced MS platforms (e.g., triple quadrupole systems)</li></ul><h4><span><strong>Conclusion</strong></span></h4><p>The integration of dried matrix spots, surface energy traps, and automated surface sampling represents a significant step toward more sustainable, efficient, and accessible analytical workflows.</p><p>By combining innovations in microfabrication, computer vision, and mass spectrometry, the work of <span>Dan Reddy</span> demonstrates how analytical chemistry can evolve toward smarter, greener, and more autonomous systems.</p><blockquote><p><strong>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</strong></p></blockquote><blockquote><h4><strong>Concentrating on Chromatography Podcast</strong></h4><p>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!</p><p>You can find <strong>Concentrating on Chromatography Podcast </strong>in podcast apps:</p><ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL"><strong>Spotify</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185"><strong>Apple podcast</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography"><strong>podscan</strong></a></li></ul><p>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos"><strong>YouTube channel</strong></a></p></blockquote>

Mass Spectrometry, Surface Sampling and Dried Matrix Spots - Greener Chemistry and 3D Printing

<p><strong>This study presents a novel MS/MS filtering tree approach for distinguishing regio- and stereoisomeric bile acids in untargeted LC-MS/MS data. By leveraging intensity ratios of closely related fragment ions, the method overcomes limitations of traditional spectral matching, enabling more accurate isomer annotation.</strong></p><p>A user-friendly web-based application was developed to facilitate implementation without coding expertise. Applied to public datasets, the workflow revealed diet-associated bile acid patterns across mammalian species and enabled identification of previously uncharacterized compounds, demonstrating its potential for large-scale metabolomics studies.</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.analchem.5c05677"><strong>MS/MS Mass Spectrometry Filtering Tree for Bile Acid Regio- and Stereoisomer Annotation</strong></a></h4><p>Ipsita Mohanty, Shipei Xing, Vanessa Castillo, Julius Agongo, Abubaker Patan, Yasin El Abiead, Helena Mannochio-Russo, Wilhan D. Gonçalves Nunes, Jasmine Zemlin, Itzhak Mizrahi, Dionicio Siegel, Mingxun Wang, Lee R. Hagey, and Pieter C. Dorrestein*</p><p>Anal. Chem. 2026, 98, 6, 4571–4584</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05677">https://doi.org/10.1021/acs.analchem.5c05677</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><div><p>Cholesterol-derived steroid molecules, known as bile acids, have been detected in nearly every organ where they have been studied. <a href="javascript:void(0);">(1)</a> Alterations in bile acid composition and dysbiosis have been linked to various health conditions, including neurocognitive developmental disorders, cancer, infections, and metabolic diseases such as diabetes and inflammatory bowel disease (IBD). <a href="javascript:void(0);">(2−8)</a> In the last 5 years, the number of detected bile acids in metabolomics experiments <a href="javascript:void(0);">(1,9−15)</a> has increased by the 1000s and possibly approaching 10,000s - most of which have not yet been fully structurally characterized. <a href="javascript:void(0);">(1,6,16−19)</a> We believe this is only the tip of the iceberg and that in the next 5 years this number will continue to increase. The scale of the bile acid pool and the challenge of accurately detecting and describing their structure truly represent an exciting frontier for analytical and computational scientists who continue to push the boundaries of what is possible.</p><p>In humans, bile acids are predominantly derived from cholesterol through pathways that exist not only in the liver as previously thought but also in many other organs including kidneys and brain. <a href="javascript:void(0);">(16,20,21)</a> These pathways shorten the side chain, producing a carboxyl terminus on the remaining 24-carbon steroid structure, which consists of four interconnected rings and side chain, collectively referred to here as the “core” (colored in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig1">Figure 1</a>a). The core of bile acids undergoes multiple hydroxylations, a process typically associated with the liver but also occurring in other organs such as the brain, kidney, and spleen. <a href="javascript:void(0);">(16)</a> Considering hydroxylation at known carbon positions on bile acids reported from human samples (as starred in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig1">Figure 1</a>a, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05677/suppl_file/ac5c05677_si_002.xlsx">Supplementary Table S1</a>) along with stereoisomers and allo versus nonallo A/B ring isomerization at C5, approximately 1,800 candidate mono-, di-, and trihydroxy C<sub>24</sub> bile acid cores are theoretically possible (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig1">Figure 1</a>a). This number further expands exponentially in the gut.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_6_4571_4584_Figure_1_MS_MS_fragmentation_of_bile_acid_isomers_9bfcc8779d.jpg" alt="Anal. Chem. 2026, 98, 6, 4571–4584: Figure 1. MS/MS fragmentation of bile acid isomers. (a) Structure of bile acids highlighting mono-, di-, and trihydroxylated steroid cores, with experimentally observed potential hydroxylation sites on the steroid core indicated by red stars. (b) MS/MS fragmentation spectra of the regioisomers, taurochenodeoxycholic (TCDCA) acid and taurodeoxycholic acid (TDCA), illustrating a low-intensity mass region containing ions unique to each isomer. (c) Enlarged view of the MS/MS fragmentation spectra for taurochenodeoxycholic and taurodeoxycholic acids, emphasizing the ion pair used to calculate relative intensity ratios for differentiating these isomers." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_6_4571_4584_Figure_1_MS_MS_fragmentation_of_bile_acid_isomers_9bfcc8779d.jpg 245w," sizes="100vw" width="2100" height="890"></p><p>Recently, we developed MS/MS fragmentation-based filters using a Mass Spectrometry Query Language (MassQL), a query language that allows filtering of data patterns <a href="javascript:void(0);">(49)</a> to retrieve all MS/MS spectra from the Orbitrap data sets in GNPS/MassIVE repository containing bile acid-specific fragment ions. After merging similar spectra, this resulted in a reference library of 21,549 MS/MS spectra. <a href="javascript:void(0);">(1)</a> This library includes MS/MS spectra of known and many yet-to-be structurally characterized bile acid candidates that have already been detected from public metabolomics data repositories. This also includes MS/MS of multiple ion forms such as different adducts, in-source fragments, and multimers, <a href="javascript:void(0);">(1)</a> which all help in the annotation of bile acids. This MassQL library enables the annotation of the number of hydroxyl groups on the bile acid core, as well as the identification of potential modifications, and ∼ 62% of the atomic compositions are annotated. Other spectral “modifications” that do not have a distinct atomic composition may be different adducts or multiple combinations of adducts, in source fragments, and multimers. However, the diagnostic bile acid MS/MS fragments used to build this reference library do not allow for the differentiation between regio- and stereoisomers. Also, MS/MS spectral matching with the candidate library using the cosine metric often overlooks finer details within fragment ions, as minor peak intensity changes or low-intensity fragment ions have a minimal influence on overall spectral match scores (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig1">Figure 1</a>b).</p><p>Based on our manual inspection of hundreds of bile acid MS/MS spectra, we observed and hypothesized that information in the low-intensity MS/MS fragments, including specific ion pairs, their intensity ratios, and unique ions, could be used to distinguish the steroid core isomers. As proof of concept in leveraging MS/MS data to enable further refinement of the stereo and regiochemistry of the hydroxylations of the bile acids cores, we developed a MassQL-based filtering tree utilizing key marker ions and their intensity ratios within narrow <i>m</i>/<i>z</i> windows to propose regio- and stereoisomer assignments of bile acids solely from MS/MS data. In this study, we focus on bile acid amidates, a class of structures found in humans and other animals.</p><h4><strong>Experimental Section</strong></h4><h5><strong>MS/MS Data Acquisition of Taurine-Conjugated Bile Acids</strong></h5><p>We generated one mM stock solutions of our in-house collection of 48 taurine-conjugated bile acids in 100% MeOH. The standards used in this study were obtained from the bile acid collection of the late Dr. Alan Hofmann’s laboratory at UCSD. The Dorrestein laboratory inherited these standards after his demise. The standard samples were injected (5 μL) into a Vanquish ultrahigh-performance liquid chromatography (UHPLC) system coupled to a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/559"><strong>Q-Exactive quadrupole Orbitrap mass spectrometer</strong></a> (Thermo Fisher Scientific, Waltham, MA). A <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1509"><strong>Kinetex polar C18 column</strong></a> (2.1 × 100 mm, 2.6 μm particle size, 100 A pore size; Phenomenex, Torrance) was employed with a SecurityGuard C18 column (2.1 mm ID) at 40 °C column temperature. The mobile phases (0.5 mL/min) were 0.1% formic acid in both water (A) and ACN (B) with the following gradient: 0–0.5 min 5%B, 0.5–1.1 min 5–25%B, 1.1–7.5 min 25–40%B, 7.5–8.5 min 40–99%B, 8.5–10 min 99%B, 10–12 min 5%B. The mass spectrometer was operated in positive heated electrospray ionization with the following parameters: sheath gas flow, 53 AU; auxiliary gas flow, 14 AU; sweep gas flow, 3 AU; auxiliary gas temperature, 400 °C; spray voltage, 3.5 kV; inlet capillary temperature, 269 °C; S-lens level, 50 V. MS1 scan was performed at <i>m</i>/<i>z</i> 150–1500 with the following parameters: resolution, 35,000 at <i>m</i>/<i>z</i> 200; maximum ion injection time, 100 ms; automatic gain control (AGC) target, 1E6. Up to 5 MS/MS spectra per MS1 scan were recorded under the data-dependent mode (dd-MS<sup>2</sup>) with the following parameters: resolution, 17,500 at <i>m</i>/<i>z</i> 200; maximum ion injection time, 150 ms; AGC target, 5.0E5; MS/MS precursor isolation window, <i>m</i>/<i>z</i> 1; isolation offset, <i>m</i>/<i>z</i> 0.5; normalized collision energy (NCE) of 45%; minimum AGC for MS/MS spectrum, 2.5E4; apex trigger, 2 to 5 s; dynamic precursor exclusion, 8 s. Fragmentation was performed in the HCD cell using nitrogen as the collision gas. The data was deposited in GNPS/MassIVE and is publicly available at MSV000092003. The MS/MS spectra are also added now to the GNPS spectral library - BILELIB19 (<a target="_blank" rel="noopener noreferrer" href="https://gnps.ucsd.edu/ProteoSAFe/gnpslibrary.jsp?library=BILELIB19">https://gnps.ucsd.edu/ProteoSAFe/gnpslibrary.jsp?library=BILELIB19</a>)</p><h4><strong>Results and Discussion</strong></h4><h5><strong>Retrospective Bile Acid Isomer Profiling in a Public Data Set of Animals with Different Diets</strong></h5><p>To illustrate the utility of the MassQL multistep filtering trees in retrospectively analyzing data in public repositories, we selected a publicly available data set containing feces from 40 animals (13 mammalian species) from the Zoological Center Tel Aviv-Ramat Gan, Israel. <a href="javascript:void(0);">(62)</a> The data set consisted of 3 herbivores, 23 omnivores, and 13 carnivores (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig4">Figure 4</a>a). We selected this data set as we had previously confirmed detection of 6 previously uncharacterized polyamine-conjugated bile acids that we could not confirm with retention times as none of the standards we had synthesized matched, although their MS/MS did. We showed that their levels were higher in carnivores compared to herbivores and omnivores; <a href="javascript:void(0);">(1)</a> however, we were still unable to resolve the regio- and stereochemistry of all possible isomers of polyamine-conjugated bile acids. To further dive into the diversity of bile acids, we matched the MS/MS spectra of this study against the GNPS spectral libraries, including the candidate bile acid MS/MS reference library that we had previously created from the repository scale analysis. <a href="javascript:void(0);">(1)</a> This revealed 993 MS/MS spectral matches to bile acids. We next applied the multistep MassQL queries to resolve the regio- and stereochemistry of the bile acids. The steps described in this section follow the same filtering approach as outlined for the dihydroxy bile acid filtering tree (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig2">Figure 2</a>).&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_6_4571_4584_Figure_2_Development_of_MSMS_fragmentation_based_Mass_QL_filtering_tree_2227b688a9.jpg" alt="Anal. Chem. 2026, 98, 6, 4571–4584: Figure 2. Development of MS/MS fragmentation-based MassQL filtering tree. Sequential MS/MS fragmentation-based filtering tree designed to classify regio- and stereoisomers of dihydroxylated bile acids. Structures at each filtering step are shown, with terminal bins color-coded for clarity." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_6_4571_4584_Figure_2_Development_of_MSMS_fragmentation_based_Mass_QL_filtering_tree_2227b688a9.jpg 183w," sizes="100vw" width="1000" height="852"></p><p>Step 1 excludes MS/MS spectral matches to candidate bile acids where the experimental spectra lacked the two diagnostic MS/MS ions for bile acids. Steroids and lipids often exhibit similar MS/MS spectra to bile acids, sometimes yielding high cosine similarity scores (&gt;0.7), yet they lack key low-intensity diagnostic ions. Due to the low intensity of these ions, their presence or absence typically does not significantly affect spectral matching scores. However, our MassQL isomer filters in Step 1 identified these MS/MS spectra to reveal that 543 MS/MS spectra had the two characteristic fragment ions for mono-, di-, and trihydroxy bile acids (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig4">Figure 4</a>a). A portion of the 543 MS/MS spectra are adducts, in-source fragments, and multimers, overall reducing the number of unique bile acid structures. Based on retention time and peak shape correlation analysis in MZmine4, <a href="javascript:void(0);">(63)</a> a strategy that allows the discovery of ion forms associated with a specific molecule, we estimate these to represent 402 bile acids. Even though the data contained evidence for hundreds of unique bile acids, the stereo- and regiochemistry of hydroxylations were yet to be defined.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_6_4571_4584_Figure_4_Filtering_of_bile_acid_isomers_in_an_untargeted_LC_MS_MS_data_set_d7f119b028.jpg" alt="Anal. Chem. 2026, 98, 6, 4571–4584: Figure 4. Filtering of bile acid isomers in an untargeted LC-MS/MS data set. Representative example for using the MassQL filters for identifying bile acid isomers. (a) Overview of study design. Fecal samples from herbivores (n = 3), omnivores (n = 23), and carnivores (n = 13) were analyzed by LC-MS/MS and processed using MZmine4 and FBMN on GNPS2. Stepwise MassQL filtering refined candidate bile acids from 543 features (Step 1) to 96 (Steps 2 and 3) and 49 stereo and regiochemistry assigned MS/MS spectra (Step 4). Differential abundance of bile acids between herbivores/omnivores and carnivores is illustrated in the volcano plots (b) at Step 1 and (c) Step 4 of the dihydroxy filtering tree. The annotation of a previously uncharacterized bile acid was refined from (OH)2-N-acetyl-putrescine to 3,12α-N-acetyl-putrescine." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_6_4571_4584_Figure_4_Filtering_of_bile_acid_isomers_in_an_untargeted_LC_MS_MS_data_set_d7f119b028.jpg 243w," sizes="100vw" width="1819" height="1170"></p><p>The application of our MassQL filtering tree allowed us to further refine structural details within the bile acid core. After Step 2 and Step 3 of the MassQL filtering, we separated the amidated mono-, di-, and trihydroxylated bile acids from their ketones and unconjugated versions to give 96 bile acids (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig4">Figure 4</a>a). A univariate analysis at Step 1 of bile acid annotations showed a higher abundance of almost all bile acids in the carnivores compared to herbivores and omnivores combined (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig4">Figure 4</a>b). As we move down the MassQL filtering tree to Step 4, we can now hypothesize the regio- and, in many cases, the stereochemistry of their hydroxyl positions. With the current implementation of the tree, we can predict the bile acid cores of 49 MS/MS spectra (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig4">Figure 4</a>a). The highest number of spectral matches that could be assigned are dihydroxylated bile acids, symbolized here as (OH)<sub>2</sub> (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05677#fig4">Figure 4</a>c). These were categorized into individual bins of 3,12α-(OH)<sub>2</sub>, 3,7-(OH)<sub>2</sub>; 3,6-(OH)<sub>2</sub>; 3,12β-(OH)<sub>2</sub>; 7,12β-(OH)<sub>2</sub> and 3,6-(OH)<sub>2</sub> isomers following the application of the dihydroxy isomer filtering tree.</p><h4><strong>Conclusion</strong></h4><p>In conclusion, this study introduces the concept of using a MassQL MS/MS fragmentation-based filtering tree approach to enable precise regio- and stereochemical differentiation of bile acid isomers, which were subsequently validated against reference standards. The method expands the ability to annotate bile acids and has led to the discovery of bile acid deoxycholyl-<i>N</i>-acetyl-putrescine, which had previously been detected in the feces of carnivores but not structurally characterized. By making annotated MS/MS spectra publicly available and enabling the MassQL queries, this approach enhances bile acid analysis, offering innovative tools for exploring their metabolic roles and biological significance, including retro-analysis of regio- and stereochemical isomer variations in existing public LC-MS/MS data.</p></div>

MS/MS Mass Spectrometry Filtering Tree for Bile Acid Regio- and Stereoisomer Annotation

<p><strong>In the week of April 6, 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>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Waters Corporation: Fit-for-purpose workflows for inositol stereoisomer profiling in dietary supplements and foods using single and tandem mass spectrometry</strong></h5><ul><li>Tu, 7.4.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6030">Registration</a></li></ul><p>The aim of this webinar is to present analytical procedures capable of simultaneously separating and quantifying free inositol stereoisomers in both simple matrices and complex matrices.</p><h5><strong>2. Thermo Fisher Scientific: Transforming Fuel Testing Performance with Combustion Ion Chromatography</strong></h5><ul><li>We, 8.4.2026 07:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6093">Registration</a></li></ul><p>Join us for an interactive session on how Combustion Ion Chromatography (C-IC) is transforming fuel testing performance in modern laboratories.</p><h5><strong>3. SCIEX: Getting started with LC-MS/MS for PFAS</strong></h5><ul><li>We, 8.4.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6102">Registration</a></li></ul><p>Learn how to build LC-MS/MS methods for PFAS analysis, achieve ultra-low detection limits, and gain practical skills for environmental and food testing in this expert-led webinar.</p><h5><strong>4. Phenomenex: Extraction Face-Off: Choosing Between SLE and SPE</strong></h5><ul><li>We, 8.4.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6092">Registration</a></li></ul><p>Understand how SLE and SPE work and how they are different from each other.</p><h5><strong>5. Waters Corporation: RADIAN™ ASAP Mass Spectrometry for the Detection and Analysis of Explosive Traces</strong></h5><ul><li>We, 8.4.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/6031">Registration</a></li></ul><p>Explore how mass spectrometry enables rapid detection of trace explosives. Learn how RADIAN™ ASAP extends forensic and security workflows, supporting future screening technologies and ion-mobility innovation.</p><h5><strong>6. Technology Networks: Label Free Quantitation: New Insights Into High-Throughput Proteomic Workflows</strong></h5><ul><li>Th, 9.4.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5969">Registration</a></li></ul><p>Discover how next-generation LC–MS and the ZenoTOF 8600 enable robust, high-throughput LFQ proteomics, backed by insights from a large multi-laboratory benchmark study.</p>

Webinars LabRulezLCMS Week 15/2026

Article

Webinars

Video

Scientists

Scientific article

Interview

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

Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

Organomation

Agilent Technologies

Bruker

Thermo Fisher Scientific

Wiley

SCIEX

Evosep Biosystems

Waters Corporation

<p><strong>Unlock new perspectives with our accurate mass 101 webinar series.</strong></p>
<p>Accelerate your workflows and expand your knowledge around accurate mass with these informative webinars.</p>
<p>In this webinar series, SCIEX applications scientists will explain the benefits of using accurate mass, sample analysis, instrument operation and data processing in real-time.</p>
<p>Get the inside scoop and register today!</p>
<h3><strong>Accurate mass 101: non-targeted analysis</strong></h3>
<p>Join us for this webinar to see how to discover the unknown using non-targeted analysis. We will showcase workflows and strategies to drive success with suspect screening and non-target identification. Discover the ability to identify peaks of interest and confidently identify unknown compounds.</p>


SCIEX: Accurate mass 101: non-targeted analysis

Accurate mass 101: non-targeted analysis

SCIEX applications scientists will explain the benefits of using accurate mass, sample analysis, instrument operation and data processing in real-time.

<p><strong>Unleash the power of DIA and enable the exploration of complex biological systems with unprecedented depth and precision for large-scale quantitative protein analysis combined with short methods on the Evosep One.</strong></p>
<h3><strong>Global proteomics with Evosep and DIA-PASEF</strong></h3>
<p>Recent progress in liquid chromatography and mass spectrometry, as well as sample preparation and search algorithms for spectra deconvolution and identification, plays an important role in bringing proteomics to the forefront of drug discovery and development. Nanoflow liquid chromatography coupled to tandem mass spectrometry is one of the most essential elements in a proteomics workflow. The four dimensional ion detection achieved with the latest generation of Bruker’s trapped ion mobility spectrometers led to superior speed and sensitivity. Evosep One liquid chromatography platform offers speed and robustness while maintaining, even exceeding previously achieved performance level with high-performing nano LC systems. We share here some results only possible with this combination of LC-MS and dia-PASEF.</p>
<blockquote>
<p><strong>Presenter:</strong> Anh Reynolds (Scientist, Bristol Myers Squibb)</p>
</blockquote>
<h3><strong>Extending sensitivity limits with Evosep and Slice-PASEF</strong></h3>
<p>Sensitivity improvements in LC-MS proteomics have recently led to exciting new applications, such as comprehensive proteomic profiling of single cells or 2-dimensional proteomics of tissue slices. In this talk, I will describe Slice-PASEF, a new acquisition technology for timsTOF instruments, which, in combination with the DIA-NN data analysis software, provides a fold-change signal boost. When paired with the Evosep system, Slice-PASEF allows to achieve high sensitivity in robust high-throughput workflows, paving a way for accessible sensitive proteomics on a large scale.</p>
<blockquote>
<p><strong>Presenter:</strong> Vladim Demichev (Group Leader, Quantitative ProteomicS, Charité – Universitätsmedizin Berlin)</p>
</blockquote>


Pixabay/sethink: Revolutionizing proteomics with Evosep-DIA

Revolutionizing proteomics with Evosep-DIA

Global proteomics with Evosep and DIA-PASEF & Extending sensitivity limits with Evosep and Slice-PASEF.

<p><strong>Don’t miss this exclusive look into how Trilogy Analytical Laboratory, a high-throughput food and feed safety laboratory, relies on robust LC-MS/MS solutions to consistently test for mycotoxins across a multitude of commodities with speed and selectivity.</strong></p>
<p>We’ll look at:</p>
<ul>
<li>How molds and the mycotoxins end up in grain</li>
<li>Differences between testing grain and its byproducts</li>
<li>Improving predictions of mycotoxin occurrence</li>
<li>Delivering trustworthy results to your clients quickly</li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Julie Brunkhorst</p>
</blockquote>
<blockquote>
<p>Julie Brunkhorst has been with Trilogy since it opened in 1999 and is currently the Vice-President of the Technical Division. As an essential part of Trilogy’s growth and success, Julie oversees the daily operations of the laboratory and directs all R&amp;D activities. Her expertise in designing procedures customized for high throughput laboratories has enabled Trilogy to reduce run times, and in many cases, offering same-day turnaround. Julie holds a BAS in Chemistry from Maryville University.</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Carrie Maune</p>
</blockquote>
<blockquote>
<p>Carrie Maune is President and CEO of Trilogy Analytical Laboratory and is one of the original founders of the organization. Carrie has dedicated 23 years of her professional life to helping build Trilogy into the industry-trusted laboratory that it is today. Carrie has 35+ years of mycotoxin experience and has a passion for sharing her knowledge with others. Carrie is a graduate of Central Missouri University.</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Jordon Bierbaum</p>
</blockquote>
<blockquote>
<p>Jordon Bierbaum is the Vice-President of Operations at Trilogy Analytical Laboratory. Jordon started with the organization in 2009 as a chemist and quickly advanced within the laboratory. Jordon has held management positions within Trilogy’s laboratory and production department and this well-rounded experience give him a unique knowledge of quality processes and quality materials. Jordon has his BS of Science in Medicinal Chemistry from the University of Missouri-Columbia and an MBA from Missouri Baptist University.</p>
</blockquote>


SCIEX: The truths, myths, and intricacies of testing mycotoxins

The truths, myths, and intricacies of testing mycotoxins

How Trilogy Analytical Laboratory relies on LC-MS/MS solutions to consistently test for mycotoxins across a multitude of commodities with speed and selectivity.

<p><strong>One declared goal of the EU is that all surface and groundwater bodies achieve good chemical and good ecological status. Pollutants of great concern are regulated within the Water Frame Work Directive 2000/60/EC, amongst them a number of pesticides. The so-called Surface Water Watch Lists help to identify and monitor new substances of concern. On these lists are more and more pharmaceuticals as well as personal care products.</strong></p>
<p>For this reason we developed a multi-residue LC-MS/MS method with the aim to:</p>
<ul>
<li><strong>quantify more than 140 pesticides, pharmaceuticals and personal care products in one run and</strong></li>
<li><strong>reach LOQs of 10 ng/l for all compounds with direct injection of aqueous samples.</strong></li>
</ul>
<p>In this webinar Hannah Willmer will present:</p>
<ul>
<li>What method conditions and instrumentation are needed?</li>
<li>Which are the most challenging compounds?</li>
<li>How does the new waters_connect for Quan software support method development?</li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Hannah Willmer (Senior Applications Chemist, Waters Corporation)</p>
</blockquote>
<blockquote>
<p>Hannah Willmer is an applications chemist in the European demo lab, based in Wilmslow, UK. Her main role focuses on application development work for the food and environmental sector.</p>
</blockquote>
<blockquote>
<p>With a background in bioanalysis supporting the pharmaceutical sector, Hannah further developed a passion for the food and environmental industry. She cultivated this enthusiasm in a contract organization for 6 years where she managed a team and developed methods for the analysis of food and supplements from nutritional testing to food safety compliance. She specialized within the pesticides and contaminants department with a focus on infant formula which brings its own challenges such as more stringent regulations and high throughput.</p>
</blockquote>
<blockquote>
<p>As a former research analyst and Waters client Hannah understands the importance of robust and reliable methods to Waters’ customers and strives to enhance the customers’ experience with the quality comprehensive solutions that are essential to meet the demands in modern testing.</p>
</blockquote>


Waters Corporation: LC-MS/MS Multi-residue Method for Pesticides, Pharmaceuticals and Personal Care Products (PPPCPs) in Water

LC-MS/MS Multi-residue Method for Pesticides, Pharmaceuticals and Personal Care Products (PPPCPs) in Water

What method conditions and instrumentation are needed?; Which are the most challenging compounds?; How does the new waters_connect support method development?

LC-MS/MS Multi-residue Method for Water analysis

<p><strong>LC-MS/MS is rapidly becoming the gold standard for quantifying different classes of analytes in endocrinology research.  The power of greater selectivity and analytical sensitivity using LC-MS/MS is critical in understanding the status of endocrine biochemical pathways.  The enhanced performance observed on these platforms provides increased confidence in the results, enabling you to make better decisions based on more accurate information.</strong></p>
<p>Greater analytical sensitivity is a goal that drives improvements in precision, leading to clearer insights into results down to low physiological concentrations.  Here we will discuss the latest introduction to the Waters MassTrak™ IVD system family, which is shown to be analytically sensitive and efficient, helping to reduce cost and improve the quality of your data. </p>
<p>Learning objectives: </p>
<ul>
<li><p><strong>An introduction to the latest addition to Waters MassTrak IVD System for clinical laboratories</strong></p>
</li>
<li><p><strong>The importance of selectivity in endocrinology research in obtaining high quality data</strong></p>
</li>
<li><p><strong>How the latest addition to Waters MassTrak IVD System addresses the needs of those key endocrinology research applications, including steroid hormone analysis</strong></p>
</li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Dominic Foley (Principal Scientist, Waters Corporation)</p>
</blockquote>
<blockquote>
<p>Dominic is a Principal Scientist working at Waters Mass Spectrometry Headquarters in Wilmslow, UK. Having joined the company in September 2013, he has specialized in the development of LC-MS/MS clinical research applications, with expertise in steroid hormone analysis and protein/peptide quantification. In his role, he also collaborates with clinical customers in the development and implementation of LC-MS/MS methods in their laboratories.</p>
</blockquote>
<blockquote>
<p>Dominic has worked in separation sciences for 14 years, following his ambition of improving the quality of healthcare. He started his career with ICON Development Solutions, a CRO in the north of the UK, where he worked as a LC-MS/MS method development and validation scientist supporting DMPK studies in drug discovery. In 2012, he joined Thermo Fisher Scientific to work in their Chromatography R&amp;D team as a Technical Support Specialist, working on the development of new chromatography and sample preparation products.</p>
</blockquote>
<blockquote>
<p>Dominic received his BSc (Hons) in Biochemistry from the University of Manchester in 2006. He has presented his work at conferences around the world and has several publications in both the Microchemical Journal and the Journal of Chromatography A.</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> David Ballantyne (Principal Product Manager, Waters Corporation)</p>
</blockquote>
<blockquote>
<p>David Ballantyne is a Principal Product Manager at Waters Corporation, working within the Global Clinical Diagnostics Portfolio Management team. Having joined the company in 2005, he has held multiple roles throughout Manufacturing and R&amp;D. David has a background in Electrical and Mechanical Engineering and began his career at Waters supporting GC-MS/MS technologies including Tandem Quadrupole and Magnetic Sector Mass Spectrometry.</p>
</blockquote>
<blockquote>
<p>In 2018 he moved to his role in Product Management where is focus changed to Clinical Diagnostics, with a particular focus on LC – MS/MS Instrumentation and Informatics solutions. Over the last 5 years David has spent much of his time focused on understanding customer problems and translating them into new solutions.</p>
</blockquote>


Waters Corporation: The Evolving Power of LC-MS/MS Technology within Endocrinology

The Evolving Power of LC-MS/MS Technology within Endocrinology

Here we will discuss the latest introduction to the Waters MassTrak™ IVD system family for clinical laboratories.

The Evolving Power of LC-MS/MS within Endocrinology

<p>Dear user and other PaSER interested customers,</p>
<p>You are hereby invited to our 2nd Virtual PaSER Workshop. A lot of new possibilities has been introduced since last time – including, but not limited to PaSER Novor for de novo sequencing of dda-PASEF® data on the PaSER Box as well as TIMS DIA-NN 2.0 -which will be demonstrated during this Workshop. Data virtualization has been a requested feature – and this is now possible with Mass Dynamics for PaSER. Not limited to above – stay tuned for even more approaching features, we will discuss as well.</p>
<h3><strong>The tentative agenda looks like this:</strong></h3>
<h5><strong>1:00 – 1:15 pm:  Introduction</strong></h5>
<ul>
<li>Willy Bjørklund</li>
</ul>
<h5><strong>1:15 – 1: 35pm:  New Applications on the timsTOF Platform</strong></h5>
<ul>
<li>Lars Kristensen (Field Application Specialist)</li>
</ul>
<h5><strong>1:35 – 1:55 pm:  PaSER as a bioinformatic platform - what’s new and what’s coming</strong></h5>
<ul>
<li>Jonathan Krieger (Software R&amp;D Department)</li>
</ul>
<h5><strong>5 minute break</strong></h5>
<h5><strong>2:00 – 2:20 pm: Live Demo/workshop of PaSER</strong></h5>
<ul>
<li>Tharan Srikumar (Software R&amp;D Department)</li>
</ul>
<h5><strong>2:20 – 2:50 pm: Mass Dynamics</strong></h5>
<ul>
<li>Mark Condina and Giuseppe Infusini</li>
</ul>
<h5><strong>2:50 – 3:10 pm: Questions and discussions</strong></h5>
<h5><strong>3:10 – 3:15 pm:  Conclusion</strong></h5>
<ul>
<li>Willy Bjørklund</li>
</ul>
<p>We aim for a lively interaction so take the timing as an indication. Please feel free to share with colleagues or others you think could benefit from attending this workshop. Looking forward to “meet”</p>


Bruker Virtual PaSER Workshop

Dear user and other PaSER interested customers, You are hereby invited to our 2nd Virtual PaSER Workshop. 

<p><strong>This webinar will focus on untargeted LC/MS Omics solutions that will provide the biological insights needed to produce meaningful results. An emphasis will be spent on an End-to-End HILIC metabolomics workflow for our LC/Q-TOF platform.</strong></p>
<p>This includes automate sample preparation for cells and plasma, a Bio LC that is fit for purpose for metal sensitive analysis, robust and transferable HILIC chromatography, the 6546 LC/Q-TOF data independent analysis of samples, with an ID workflow that includes a new HILIC PCDL with 500 core metabolism analytes with spectra and retention time annotation.</p>
<p>For unknowns not found in Agilent PCDLs, SIRIUS/CSI:FingerID which uses AI predict structure from spectra and conducts online identification search will be demonstrated. A complementary targeted multi-omics workflow will be briefly mentioned before sharing the new Ion Mobility and ExD technologies for high end LC/MS Omics investigations.</p>
<blockquote>
<p><strong>Presenter:</strong> Karen E. Yannell (Omics Workflow Specialist, Agilent Technologies)</p>
</blockquote>
<blockquote>
<p>Karen E. Yannell is an Omics Workflow Specialist at Agilent Technologies. She is an expert in small molecule high throughput analysis by triple quadrupole (TQ) and quadrupole time-of-flight (Q-TOF) mass spectrometry for applied markets. Her recent work has focused on developing targeted metabolomics methods and routine Q-TOF workflows for both expert and non-expert users alike. Previously, Karen worked on forensic, metabolomics, and biomarker discovery applications with ambient ionization sources. She received her PhD in Analytical Chemistry from Purdue University where studied under the advisement of Prof. R. Graham Cooks. </p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Dr. Martin Graf-Utzmann (Editor, Wiley Analytical Science, Moderator)</p>
</blockquote>
<blockquote>
<p>Dr. Martin Graf-Utzmann has a Ph.D. in Theoretical Chemistry and is an editor for Wiley Analytical Science. His interests are mainly Laboratory Automation, Digitalization, and Lab Equipment.</p>
</blockquote>


Wiley Analytical Science: Jump Start Your LC/Q-TOF Omics Investigation with Reliable Workflows

Jump Start Your LC/Q-TOF Omics Investigation with Reliable Workflows

This webinar will focus on untargeted LC/MS Omics solutions that will provide the biological insights needed to produce meaningful results.

Your LC/Q-TOF Omics Investigation with Reliable Workflows

<p><strong>This year we invite you to ignite your mind to Be Curious about what Ion chromatography (IC) can do with its versatility in many detections across the IC application spectrum to improve your workflows and solve challenges.</strong></p>
<p>During this three day virtual event, learn from a panel of experts how the latest IC applications are helping colleagues achieve breakthroughs, and walk away with valuable information on how advancements in IC can increase laboratory analytical capabilities. </p>
<p>Although each day is convenient for a specific region, you can attend any session on any day. All sessions and workshops will be available for on-demand viewing after the event concludes.</p>
<h3><strong>Day 1 Agenda | April 18 | North and South America</strong></h3>
<p>Discover IC column development, and where it’s headed with mass spectrometry, as they can be an integral detection for carbohydrate profiling and environmental metabolites characterization. Learn how standalone IC can solve industrial samples and degradation products with comprehensive IC information, all at once.</p>
<h5><strong>11:30 EDT: Opening Plenary: The Past, Present, and Future of IC Column Development</strong></h5>
<ul>
<li>Alexandra Zatirakha (Thermo Fisher Scientific, IC/SP R&amp;D, Sunnyvale)</li>
</ul>
<h5><strong>12:30 EDT: Characterizing Carbohydrate Degradation Products from Bacteroides Thetaiotaomicron to Understand Bacterial Dextran Utilization in the Gut</strong></h5>
<ul>
<li>Neil Rumachik (Thermo Fisher Scientific, IC/SP R&amp;D, Sunnyvale)</li>
<li>Fiona Cuskin (Newcastle University, UK)</li>
</ul>
<h5><strong>1:30 PM EDT: Toward Comprehensive Chemical Characterization of Metabolomic Using Orbitrap Fusion Tribrid Mass Spectrometer Coupled with Ion and Liquid Chromatography Techniques: Dissolved Organic Matter as an Example</strong></h5>
<ul>
<li>Hussain Abdulla (Department of Physical and Environmental Sciences, Texas A&amp;M University-Corpus Christi)</li>
</ul>
<h5><strong>2:30 PM EDT: The Use of Ion Chromatography in the Monitoring of Degradation Products from the Electrochemical Treatment Of Organic Compounds</strong></h5>
<ul>
<li>Emily Tossi (Federal University of Rio Grande do Norte)</li>
</ul>
<h5><strong>3:30 PM EDT: Ion Chromatography as a Tool for Industrial Problem Solving</strong></h5>
<ul>
<li>Isaac Negrete and Stephen Fosdick (Dow)</li>
</ul>
<h5><strong>4:30 PM EDT: Workshop: Everything, Everywhere, All at Once IC!</strong></h5>
<ul>
<li>Kelly Femrite (IC/SP Product Support, Sunnyvale)</li>
<li>Carl Fisher (IC/SP Product Marketing, Sunnyvale)</li>
<li>Criss Corchard-Keeler (Service Marketing Manager, CMD/MOL Thermo Fisher Scientific)</li>
</ul>


Thermo Fisher Scientific: IC Symposium 2023

IC Symposium 2023 - Day 1

Join us for the 2023 Global IC Symposium! North and South America

<p><strong>This year we invite you to ignite your mind to Be Curious about what Ion chromatography (IC) can do with its versatility in many detections across the IC application spectrum to improve your workflows and solve challenges.</strong></p>
<p>During this three day virtual event, learn from a panel of experts how the latest IC applications are helping colleagues achieve breakthroughs, and walk away with valuable information on how advancements in IC can increase laboratory analytical capabilities. </p>
<p>Although each day is convenient for a specific region, you can attend any session on any day. All sessions and workshops will be available for on-demand viewing after the event concludes.</p>
<h3><strong>Day 3 Agenda | April 20 | Asia Pacific</strong></h3>
<p>Expand the world of electrochemistry applications and IC hyphenation with high-resolution mass spectrometry and understand how Inductively Coupled Plasma Spectrometry can speciate isotopes while simplifying Pharmacopeia QC analysis and keeping your IC in top-notch condition.</p>
<h5><strong>11:00 AM SGT: Opening Plenary: Electrochemical Detection and Its Application in Ion Chromatography</strong></h5>
<ul>
<li>Yan Liu (Thermo Fisher Scientific, IC/SP R&amp;D, Sunnyvale)</li>
</ul>
<h5><strong>12:00 PM SGT: Application of Anion Chromatography Coupled High-Resolution Mass Spectrometry to Increase Cellular Metabolite Coverage</strong></h5>
<ul>
<li>Vinzenz Hofferek (McConville Lab, Department of Biochemistry and Pharmacology)</li>
</ul>
<h5><strong>1:00 PM SGT: Analysis of Anhydrosugars and Xylooligosaccharides by Ion Chromatography with Electrospray Lithium Cationisation-Triple Quadrupole Tandem Mass Spectrometry</strong></h5>
<ul>
<li>Dr. Estrella Sanz Rodriguez (Natural Products Analysis, Australian Centre for Research on Separation Science (ACROSS), University of Tasmania)</li>
</ul>
<h5><strong>2:00 PM SGT: You Gotta Keep ‘Em Separated: Novel IC Applications for Subsequent Isotopic Analyses by Rapid and/or Hyphenated Techniques</strong></h5>
<ul>
<li>Dr. Brandon Mahan (College of Science and Engineering, James Cook University)</li>
<li>Grace Manestar (IsoTropics PhD Candidate)</li>
</ul>
<h5><strong>3:00 PM SGT: Use of Ion Chromatography in Pharmaceutical Quality Control</strong></h5>
<ul>
<li>Catherine Frankis and Stella Planou (Reading Scientific Services Ltd., Reading Science Centre, Whiteknights Campus)</li>
</ul>
<h5><strong>4:00 PM SGT: Tips on Keeping Your Ion Chromatography in Top-Notch Condition</strong></h5>
<ul>
<li>Ryan Ong (Thermo Fisher Scientific, IC/SP Application Sales Support, Singapore)</li>
</ul>


IC Symposium 2023 - Day 3

Join us for the 2023 Global IC Symposium! Day 3 | Asia Pacific.

<ul>
<li><p>Wait what?! Who knew!? There are so many things that a mass spec can do.</p>
</li>
<li><p>I&#39;ve used it for years, yes this may be true.</p>
</li>
<li><p>I&#39;ve processed some samples, more than a few.</p>
</li>
<li><p>But between me and you, I had no idea all the things it could do!</p>
</li>
<li><p>From sample prep to separation, you just won&#39;t believe…</p>
</li>
<li><p>All of the tips and tricks we have up our sleeve.</p>
</li>
<li><p>So, take a few minutes, about 15 should do.</p>
</li>
<li><p>And learn all the things your mass spec can do.</p>
</li>
</ul>
<p><strong>An easy to follow guide detailing how to set MS scan parameters for an LCMS experiment will be presented.  Scan speeds for reproducible quantitation, chromatographic resolution, retention time definition, proper threshold adjustment for optimum datafile size, and how this can result in faster processing times will all be discussed.</strong></p>
<blockquote>
<p><strong>Presenter:</strong> Rebecca Glaskin, Ph.D. (LC/MS Application Scientist, Agilent Technologies, Inc.)</p>
</blockquote>
<blockquote>
<p>Rebecca Glaskin is an LC/MS Application Scientist at Agilent with a focus on BioPharma applications supporting the LC-Q/TOF and IM-QTOF platforms. Prior to joining Agilent, Rebecca received her Ph.D. in analytical chemistry from Indiana University in the lab of Professor David Clemmer. While there she designed and constructed home-built instruments, pushing the limits of the mobility resolution that can be obtained with a circular drift tube for the separation of biomolecules (peptides, proteins, carbohydrates, and metabolites). While there, she also studied hydrogen/deuterium exchange of proteins in the gas-phase as a function of time and pressure. Rebecca then went to Boston University as a Postdoctoral Associate in the lab of Professor Catherine Costello to develop a database containing collision cross section values for glycans, peptides, and glycopeptides utilizing Agilent Technologies 6560 IM-QTOF. This database can be used to determine how the collision cross section is altered with the addition of individual saccharide units. The trendlines obtained from this database will be used to predict collision cross sections for glycopeptides based on the conformation and structure of the specific glycoform.</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Jim Lau, PhD (HRAMS LC/MS Application Engineer, Agilent Technologies, Inc.)</p>
</blockquote>
<blockquote>
<p>Jim Lau received his Ph.D. From the University of Colorado. There he worked in the laboratories of Peter Albersheim and Robert Shapiro. This work involved the structure elucidation of plant natural products and, in particular, elucidating the structures of oligosaccharides derived from plant cell wall polysaccharides. This work was done in the early days of LCMS and made use of DLI-LCMS and (at the time) recently invented Thermospray-LCMS.</p>
</blockquote>
<blockquote>
<p>After the completion of his Ph.D., Jim joined Hewlett-Packard to work on LCMS ionization techniques with Paul Goodley during the early days of Electrospray-LCMS. He then moved to work on field applications and collaborations with Hewlett-Packard’s LCMS customers. More than 30 years later, Jim continues to work with Agilent’s customers in High Resolution Accurate Mass applications of LCMS. While involved in many areas of HRAMS LCMS, his recent work has focused on the area of Screening/Qual&amp;Quant of small molecules and on the high throughput confirmation of oligonucleotide synthesis.</p>
</blockquote>


Agilent Technologies: How to set MS Scan Parameters for your LCMS Experiment

How to set MS Scan Parameters for your LCMS Experiment

An easy to follow guide detailing how to set MS scan parameters for an LCMS experiment will be presented.

LCMS webinars focusing on LC/MS/MS - page 64