Propionic Acid Outperforms Formic and Acetic Acid in MS Sensitivity for High-Flow Reversed-Phase LC-MS Bottom-Up Proteomics

<p><strong>This study introduces a quantitative workflow for multielement single-cell analysis by mass cytometry using metal-loaded, multielement-barcoded polystyrene beads as calibration standards. Online mixing allows bead and cell events to be distinguished by TOF-MS, enabling elemental concentrations in labeled cells to be quantified from bead responses.</strong></p><p>The approach was demonstrated with Lu-, Nd-, and Ir-labeled cancer cells and extended through a polynomial calibration model to elements not directly included in the beads. Agreement with external calibration highlights the method’s potential as a universal quantitative strategy for mass cytometry and single-cell ICP-TOF-MS.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/ancham/article/98/31/22966/5231419/Quantitative-Single-Cell-Multielemental-Analysis#249383980"><strong>Quantitative Single-Cell Multielemental Analysis Using Metal-Loaded Microparticles: toward a Universal Quantification Workflow in Mass Cytometry</strong></a></h4><p>Ángela de la Rosa-Díaz; Carlos López-Portugués; Mario Corte-Rodríguez*; María Montes-Bayón *</p><p>Anal. Chem. (2026) 98 (31): 22966–22976</p><div><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.6c02340">https://doi.org/10.1021/acs.analchem.6c02340</a></div><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><div><div><div><div><p>Understanding the biochemical and functional heterogeneity of individual cells is a central challenge in modern biology, immunology, oncology, and clinical translational research. Flow cytometry, and, more recently, spectral flow cytometry, (<a href="javascript:;">1</a>) have become essential tools for high-dimensional single-cell analysis. However, obtaining robust quantitative information at the single-cell level remains challenging, particularly when comparing measurements across experiments and laboratories. Quantitative approaches have been developed for fluorescence flow cytometry, typically relying on calibration beads and standardized antibody conjugates to improve interexperimental comparability. (<a href="javascript:;">2−4</a>) Nevertheless, the accuracy of these methods remains influenced by fluorophore-specific properties and labeling variability, highlighting the need for alternative quantitative single-cell analytical strategies.</p></div><div><p>Mass cytometry, or cytometry by time-of-flight (CyTOF), which was introduced by the team of Bandura in 2009, has emerged as a technological breakthrough by substituting fluorophores with isotopically pure metal tags, whose signals are detected by TOF elemental mass spectrometry (MS) using an inductively coupled plasma as ion source (ICP–TOF–MS). (<a href="javascript:;">5</a>) This technology has allowed to remove nearly all spectral overlaps and enabled experiments that can routinely include 40–60 parameters, including not only protein biomarkers but also DNA markers and metallodrugs or nanoparticles. (<a href="javascript:;">6, 7</a>) Numerous studies have taken advantage of the highly multiplex capabilities of CyTOF to investigate immune responses, characterize tumor-infiltrating lymphocytes, or follow hematopoietic differentiation with greater resolution than was previously possible. (<a href="javascript:;">8−10</a>) Indeed, the technique has become central to many multiparametric immunology pipelines by facilitating deeper functional analyses, from mapping subtle cell-cycle states (<a href="javascript:;">11</a>) to profiling intracellular cytokine signatures and activation markers (<a href="javascript:;">12</a>) that are often difficult to resolve by fluorescence-based approaches. (<a href="javascript:;">13</a>)</p></div><div><p>Beyond its multiplexing capability, an often overlooked advantage of mass cytometry is its potential for elemental quantification. Unlike fluorescence-based approaches, ICP–MS-based detection enables direct conversion of signal intensities into elemental amounts through established calibration strategies. This principle, successfully applied for single-cell elemental analysis by ICP–MS (SC–ICP–MS), has shown to be suitable in different applications. Thus, quantification of intrinsic (<a href="javascript:;">14−17</a>) or exogenous (<a href="javascript:;">18−20</a>) elements, as well as protein biomarkers following metal-labeling strategies (<a href="javascript:;">21, 22</a>) compare well with the bulk analyses on the same cell suspension. However, despite the efforts made to develop quantitative strategies, mass cytometry remains as a mainly qualitative strategy, where very few approaches have explored its unquestionable quantification potential. (<a href="javascript:;">4, 23−25</a>)</p></div><div><p>CyTOF data quality depends critically on managing instrumental variability. Plasma fluctuations, partial clogging of the sample introduction system or injector and periodic retuning, introduce changes in sensitivity that can obscure biological differences between samples measured at different times or in different instruments. To mitigate these effects, CyTOF applies multielement calibration polymeric beads, such as EQ six-element calibration beads, that are mixed with every sample at a fixed concentration before nebulization. (<a href="javascript:;">26, 27</a>) These beads, containing defined quantities of yttrium, indium, cerium, terbium, lutetium and bismuth, allow computational normalization and provide a reference signal that corrects for shifts in sensitivity over time. More recently, approaches using frozen antibody master mixes, unified acquisition templates, and sophisticated normalization algorithms have been introduced to enable reproducible multibatch studies and harmonize data sets across different research centers. (<a href="javascript:;">27, 28</a>)</p></div><div><p>Since the sought beads that contain multiple elements in a wide mass range (from <sup>89</sup>Y to <sup>209</sup>Bi) are commercially available and show high reproducibility, they could serve as quantitative (single-point) analytical standards (once characterized accordingly). This use would increase their analytical value not only as mere drift correctors but also as calibrants that are present within the sample (matrix-matched). Such a strategy is aligned with recently proposed particle-based calibration approaches in SP/SC–ICP–MS, which exploit transient events of the same nature as the analyte to avoid transport-efficiency-related uncertainties. (<a href="javascript:;">29</a>) In this way, the estimation of parameters like transport efficiencies of the ionic standards is eliminated, reducing the associated uncertainties. Moreover, since the beads are routinely added to all samples in CyTOF, any raw data file could be reprocessed at any time to extract any quantitative information without any additional measurements.</p></div><div><p>Despite their routine use for signal normalization, CyTOF calibration beads have not been systematically explored as quantitative standards for single-cell elemental analyses. Their use for quantification implies several analytical challenges, including the accurate characterization of their elemental content, the translation of bead-derived responses into cellular elemental amounts, and the extension of the calibration strategy to isotopes that are not present in the beads. Addressing these challenges is essential before calibration beads can be used as reliable quantitative reference.</p></div><div><p>An interesting additional feature of plasma-based techniques is their relatively uniform sensitivity across the entire mass range. It has been described that the observed instrumental response in most ICP–MS can be fitted to a simple equation as a function of the <i>m</i>/<i>z</i> of the isotope to be measured for the elements with similar ionization in the plasma, such as the lanthanides. (<a href="javascript:;">30, 31</a>) If the transient signals of the multielemental beads are used to obtain the instrumental responses and these are empirically modeled across the monitored <i>m</i>/<i>z</i> range, a practical route toward multielemental quantification strategy is obtained. This would represent a quantification workflow for multiplex single-cell elemental analysis that repurposes multielement CyTOF calibration beads as generic standards. Such an approach seeks to address the limitations in calibration procedures and, ultimately, to enhance the quantitative applications of high-dimensional single-cell MS that can be applied not only to CyTOF-based analysis but could also be extended to any other SC–ICP–MS analysis using any other TOF mass analyzers.</p><h4><strong>Experimental Section</strong></h4><h5><strong>Instrumentation</strong></h5><div><p>The single-particle ICP–MS measurements were performed by using the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1206"><strong>iCAP TQ triple quadrupole ICP–MS system</strong></a> from Thermo Fisher Scientific (Bremen, Germany). All measurements were done using the standard configuration for sample introduction, including the Micro-Mist nebulizer at a sample flow rate of 0.4 mL min<sup>–1</sup> and a cyclonic spray chamber. The sample introduction setup was used together with a T<strong>eledyne Cetac ASX-560 autosampler.</strong> SP-ICP-MS characterizacion of the lanthanide-loaded polystyrene beads was carried out setting a dwell time of 5 ms. Daily optimization of ICP–MS was performed to enhance signal sensitivity, ensuring that the generation of oxide ions and doubly charged species remained below 3% and 5%, respectively.</p></div><div><p>The CyTOF experiments were conducted in a <strong>CyTOF XT</strong> (Standard BioTools, San Francisco, CA, USA). This instrument is an ICP–MS that operates TOF mass analyzer with a shortened mass coverage from <i>m</i>/<i>z</i> 75 to 209. The samples are placed in a refrigerated carousel at 4 <span>°</span>C and injected into the CyTOF with a hydraulic autosampler that is able to handle sample introduction and system washing. The autosampler automatically adds the EQ6 calibration beads (Standard BioTools) to every sample at a 1:10 dilution. After mixing, the bead-containing sample is injected at 30 μL·min<sup>–1</sup> through a pneumatic nebulizer and a spray chamber that is heated at 200 <span>°</span>C. using a constant sample flow of at 10 μL min<sup>–1</sup>. Microparticle imaging was carried out with a <strong>JEOL JEM-2100F transmission electron microscope.</strong></p><h4><strong>Results and Discussion</strong></h4><h5><strong>BiRM: An Interpolated Model for Multielement Quantification</strong></h5><p>Taking advantage of the multielemental composition of the beads uniformly distributed along the CyTOF measuring range, their molar response factors can be estimated and plotted against the <i>m</i>/<i>z</i> of each of the isotopes contained on the beads. This is possible thanks to the high ionization efficiency achievable in the plasma for the elements of the beads that is close to 100%. In that case, previous publications demonstrated that the ICP–MS molar response can be modeled using different theoretical equations. (<a href="javascript:;">30, 31</a>) Consequently, the molar responses (<i>n</i><sub>resp</sub>) for all the 8 isotopes of the 6 elements contained in the beads (typically &gt;5000 events) were calculated as in <a href="javascript:;">eq 3</a> and represented against the mass-to-charge ratio (<i>m</i>/<i>z</i>). The molar response, differently to the previously reported response factor (α<sub>i</sub>), takes into account the atomic mass of the element and isotope, the isotope abundance, and the concentration. This response was fitted empirically to polynomial functions of degree 2, 3, 4, and 5, resulting in the quartic function the one with the best correlation (<i>r</i><sup>2</sup> = 0.99) while avoiding overfitting of the data. The response factors for all the isotopes are represented in <a href="javascript:;">Figure 4</a> (every data point considered for the fitting corresponds to the average intensity obtained for a minimum of 5000 bead events and the corresponding standard deviation), together with the fitted quartic polynomial function of <a href="javascript:;">eq 4</a>. This behavior showing a mass-dependent response with a slight decrease at high <i>m</i>/<i>z</i> is also consistent with published results using ICP–TOF–MS instruments. (<a href="javascript:;">34</a>) The fourth-order polynomial was used as an empirical interpolation of the instrumental response within the calibrated mass range in our specific CyTOF instrument, without physical significance of the coefficients.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_31_22966_22976_Figure_4_Molar_response_factors_for_every_isotope_in_the_beads_b8317c3de7.jpg" alt="Anal. Chem. (2026) 98 (31): 22966–22976: Figure 4. Molar response factors for every isotope in the beads as a function of m/z and the quartic function model (dashed line) that fits such data obtained using CyTOF results. Standard deviation of each data point is also included (only distinguishable in the case of 140Ce)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_31_22966_22976_Figure_4_Molar_response_factors_for_every_isotope_in_the_beads_b8317c3de7.jpg 245w," sizes="100vw" width="996" height="492"></p><p>Using the <i>m</i>/<i>z</i> of the isotope of interest and by interpolation in the curve, it is possible to estimate its molar response on each sample (matrix matched). Out of the obtained molar response and taking the integrated dual counts obtained for such isotope in the sample, inferring its mass in a single cell event is straightforward. <a href="javascript:;">Figure 5</a>A shows the correlation between the predicted (using <a href="javascript:;">eq 4</a>) and the experimental value (using <a href="javascript:;">eq 3</a>) for the molar responses of the isotopes contained in the beads. A good correlation can be observed (<i>R</i><sup>2</sup> = 0.99), with a slope of 0.99, suggesting an excellent ability of the model to calculate the molar sensitivity of these isotopes.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_31_22966_22976_Figure_5_A_Plot_showing_the_correlation_between_the_Bi_RM_predicted_and_the_experimental_molar_response_for_the_multielemental_beads_6acfc9378b.jpg" alt="Anal. Chem. (2026) 98 (31): 22966–22976: Figure 5. (A) Plot showing the correlation between the BiRM-predicted and the experimental molar response for the multielemental beads and (B) the correlation of 8200 individual cell events obtained by BiRM versus calibration with 175Lu standards. Error bars were omitted for clarity. Experimental uncertainties associated with the molar response factors are reported in Table 2." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_31_22966_22976_Figure_5_A_Plot_showing_the_correlation_between_the_Bi_RM_predicted_and_the_experimental_molar_response_for_the_multielemental_beads_6acfc9378b.jpg 116w," sizes="100vw" width="997" height="1336"></p><p>Although it is possible to perform the described calculations using a datasheet like from microsoft excel, Google Sheets, or LibreOffice Calc, the BiRM interpolation and quantification workflow becomes increasingly cumbersome as the number of isotopes, events and biological replicates grows. For this reason, an in-house script has been developed in R, which is provided as <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/ancham/article-supplement/5231419/pdf/ac6c02340_si_001/">Supporting Information</a>. The script, which is fully transparent and open-access, operates directly on the data matrix generated for either cell events or calibration-bead events after standard CyTOF preprocessing (see the Experimental section). By introducing the elemental information required for BiRM calculations as described in the accompanying “Readme” file, the script automatically computes the molar or mass amount of each element per cell. In addition, it generates summary statistics, diagnostic figures and histograms for rapid quality assessment. This implementation ensures reproducibility, minimizes operator-dependent variability and allows users to reprocess previously acquired data sets without any additional experimental steps. A continuously updated version of software will be made available in a public repository, where future improvements, extension and documentation will be deposited. Because the isotopes used in <a href="javascript:;">Figure 5</a>A were also employed to construct the BiRM model, an additional leave-one-out validation was performed to assess its predictive capability. In each iteration, one calibration isotope was excluded from the fitting procedure and its molar response factor was subsequently predicted using a model constructed from the remaining isotopes. The predicted values were then compared with the experimentally determined molar response factors. The leave-one-out validation yielded a mean absolute relative error (MARE) of 14.3%, compared with 8.3% for the all-in model. As expected, prediction errors increased when an isotope was excluded from the model construction. However, the obtained deviations remained within a reasonable range considering the limited number of calibration points available for model fitting.</p><h4><strong>Conclusion</strong></h4><p>This study presents a practical route to quantitative mass cytometry by repurposing the multielement calibration beads that are routinely added to CyTOF samples as in-tube quantitative standards that can be extended not only to CyTOF but also to any other TOF-based ICP–MS instruments. Two complementary strategies were proposed. First, BaQS performs single-point calibration for bead-encoded isotopes to obtain the absolute mass of lanthanide per cell. Second, the BiRM makes use of the multielement bead signature to empirically model the instrumental response across the monitored <i>m</i>/<i>z</i> window, enabling the prediction of response factors for isotopes that are not present in the beads. The results indicate that both strategies provided accurate results with no statistically significant differences with the validated external standards calibration for the quantification of bead-contained and noncontained lanthanides, being BaQS and BiRM simpler, faster, more efficient, and ready to be applied to already acquired data with no additional measurements needed.</p></div></div></div></div></div></div>

Quantitative Single-Cell Multielemental Analysis Using Metal-Loaded Microparticles: toward a Universal Quantification Workflow in Mass Cytometry

<p><strong>In the week from August 31, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 500 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Technology Networks: Modern Methods for Faster Microbial Analysis</strong></h5><ul><li>Tu, 1.9.2026 11:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6454">Registration</a></li></ul><p>Struggling to choose the right technique for microbial testing? Learn how MALDI-TOF, FTIR, and automated DNA/RNA electrophoresis accelerate identification.</p><h5><strong>2. Agilent Technologies: ICP-MS for Hybrid Photoelectrode Characterization</strong></h5><ul><li>Tu, 1.9.2026 21:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6411">Registration</a></li></ul><p>Quantify catalyst loading on hybrid photoelectrodes and discover how the Agilent 7850 ICP-MS supports solar fuel research.</p><h5><strong>3. SciY/Mestrelab Research: From Legacy Workflows to Paperless Labs: Track Every Sample, Process, and Decision</strong></h5><ul><li>Th, 3.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6425">Registration</a></li></ul><p>Transform your lab from paper to digital. Learn how WebLab and LIMS workflows automate sample tracking and support laboratory compliance.</p><h5><strong>4. Agilent Technologies: Learn to Select and Apply the Proper Internal Standard in ICP-OES</strong></h5><ul><li>Th, 3.9.2026 20:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6412">Registration</a></li></ul><p>Master the use of internal standards in ICP-OES and learn how to select suitable standards to correct matrix effects and signal drift.</p>

Webinars LabRulezICPMS Week 36/2026

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<p><strong>Focus will be given to the safety, authenticity and quality of food and beverages as well as the future of food products such as meat substitutes and alternative proteins.</strong></p>
<p>This online symposium will cover:</p>
<ul>
<li><strong>Untargeted food analysis using different MS platforms</strong></li>
<li><strong>Applications of near-infrared hyperspectral imaging in food quality control</strong></li>
<li><strong>Applications of behavioral science in food research</strong></li>
<li><strong>Solid phase micro-extraction for beverage analysis</strong></li>
<li><strong>Challenges and opportunities in fermentation for production of alternative proteins</strong></li>
<li><strong>ELNs to support data management in food and beverage labs</strong></li>
<li><strong>Key strategies for pesticide analysis using GC-MS</strong></li>
<li><strong>Nutritional and toxic plant-based elemental analysis using ICP-MS</strong></li>
</ul>
<blockquote>
<p><strong>Presenter:</strong> Brian Quinn, PhD (Head of Mass Spectrometry, Queen&#39;s University Belfast)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Vincent Baeten, PhD (Scientific Director, Walloon Agricultural Research Centre)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Michelle Niedziela, PhD (VP of Research &amp; Innovation, HCD Research)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Erich Leitner, PhD (Professor, Graz University of Technology)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Stefan Cretnik, PhD (Product Manager, PAL System)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Theresa Liao (Content Specialist, SciNote)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Wade Opperman (Manager of the Americas, SciNote)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Moran Farhi, PhD (VP of Research, The Better Meat Co.)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Liyan Xing, PhD (Senior Application Scientist, PerkinElmer)</p>
</blockquote>
<blockquote>
<p><strong>Presenter:</strong> Anastasia Andrianova, PhD (GC/MS Applications Scientist, Agilent Technologies)</p>
</blockquote>


Technology Networks: Advances in Food & Beverage Analysis 2023

Advances in Food & Beverage Analysis 2023

The third edition of this online symposium will provide industry and academic scientists with the opportunity to hear from experts from across the field.

<p><strong>Are you seeing a loss in sensitivity? Are your RSDs inconsistent? Are you facing instrument downtime issues due to need for frequent maintenance? These questions and many others have been observed by users and lead to hours of troubleshooting to find the cause of the problem.</strong></p>
<p>Using good quality appropriate supplies for applications and proper maintenance of different components in the workflow will help to achieve good quality data and enhance productivity.</p>
<p>In this webinar, we will discuss:</p>
<ul>
<li><p><strong>The function of all the critical components in the sample introduction system and workflow.</strong></p>
</li>
<li><p><strong>Using right kind of supplies for your applications.</strong></p>
</li>
<li><p><strong>Tips &amp; tricks on maintenance &amp; troubleshooting.</strong></p>
</li>
</ul>
<p>Attend all three sessions to get an e-certificate plus limited-time discount on selected supplies.</p>
<p>Note - Discounts are applicable for India only</p>
<blockquote>
<p><strong>Presenter:</strong> Dr. Rajni Mujoo (Technical Support Specialist, Chemistries &amp; Supplies Division<br/>Agilent Technologies)</p>
<p>Dr. Rajni is working with us as Technical Support Specialist in Chemistries and Supplies Division at Agilent Technologies since 2011. She has a Ph.D degree in Food Science from CFTRI, Mysore and Post Doctorate from Department Of Food Science, Michigan State University. She also has four International Presentations &amp; 13 publications in reputed National &amp; International journals to her credit. Rajni has a total work experience of 16 yrs spread across research and Sales building expertise in different Instrument techniques.</p>
</blockquote>


Agilent India - Excellence Lab Webinar Series-LC, GC and Spectroscopy Supplies

Boost Productivity of your Elemental Analysis with Spectroscopy Supplies

Components in the sample introduction system and workflow, using right supplies for your applications and tips & tricks on maintenance & troubleshooting.

Boost your Elemental Analysis with Spectroscopy Supplies

<h3><strong>Building a strong foundation for your analytical workflow</strong></h3>
<p>Your results are only as accurate as your reference. Within Pharma QC, whether you are performing dissolution testing or releasing finished goods, having accurate, reliable and fully characterized Reference Materials is critical. This webinar will provide viewers with an overview of key concepts relating to Reference Materials.</p>
<p>With a multitude of suppliers serving the industry – both compendial and commercial – there are myriad choices of Reference Materials available for a quality control laboratory. We will discuss how different quality grades are “fit for purpose,” best practices in Reference Material production, and what to look for in a Reference Material Certificate of Analysis.</p>
<p>We will also discuss a novel concept: fully characterized Certified Reference Materials (CRMs) qualified against compendial standards. These CRMs are designed to replace a laboratories in-house working standards and pair with a laboratory’s primary Reference Standards to form a strong, well-characterized and fully traceable Reference Material foundation.</p>
<h3><strong>Key Learning Objectives</strong></h3>
<ul>
<li>Understand how different Reference Material quality grades are fit-to-purpose</li>
<li>Provide key concepts in Reference Material manufacture and characterization</li>
<li>Detail Certificate of Analysis (CoA) key attributes that will be common across sources</li>
</ul>
<h3><strong>Audience</strong></h3>
<ul>
<li>Laboratory Directors</li>
<li>Pharmaceutical Quality Control (QC) Managers</li>
<li>Pharmaceutical Quality Control (QC) technicians</li>
</ul>
<blockquote>
<p><strong>Presenter: Michael Hurst (Product Manager - Reference Materials)</strong></p>
</blockquote>


Pixabay/Mizianitka: Reference Materials in Pharma QC

MilliporeSigma - Reference Materials in Pharma QC

<p><strong>Innovating for the future with cutting-edge solutions</strong></p><p><strong>Given the speed and scale of progress with Artificial Intelligence (AI) in today’s world, researchers and professionals across various scientific fields from the Danaher group of companies have stepped up in the game of AI and advanced technology to seek breakthrough solutions to age-old problems.</strong></p><h3><strong>Agenda</strong></h3><h5><strong>Introduction to Danaher</strong></h5><h5><strong>3D biology and the paradigm shift in next generation drug discovery</strong></h5><ul><li>Presented by Molecular Device</li></ul><h5><strong>AIVIA - introduction to AI based image analysis</strong></h5><ul><li>Presented by Leica Microsystems</li></ul><h5><strong>Analytical advances in the characterization of mRNA</strong></h5><ul><li>Presented by Phenomenex</li></ul><h5><strong>Unlocking the power of data with IDBS</strong></h5><ul><li>Presented by IDBS</li></ul><h5><strong>The power of AI: from planning and the lab to success in life sciences</strong></h5><ul><li>Presented by Abcam</li></ul><h5><strong>Practical approaches to EV characterization and purification: leveraging nano Flow Cytometry and ultracentrifugation for clinical and commercial success</strong></h5><ul><li>Presented by Beckman Coulter Life Sciences</li></ul><h5><strong>AI-MS/MS-AI mass spectrometry application with AI</strong></h5><ul><li>Presented by SCIEX</li></ul><h5><strong>Work smarter, not harder: emerging lessons on data in biopharma R&amp;D</strong></h5><ul><li>Presented by Genedata</li></ul><h5><strong>In silico process development with mechanistic chromatography modelling</strong></h5><ul><li>Presented by Cytiva</li></ul><h5><strong>CRISPR meets NGS: the powerful duo for drug discovery</strong></h5><ul><li>Presented by IDT</li></ul><h3><strong>Presenter:</strong></h3><ul><li>Gokhale, Aarti Arun, Ph.D (Sr Manager, Gene Reading, APAC, IDT)</li><li>Teo Chong Kok Ph.D (Scientific Account Manager, Genedata)</li><li>Edward Lim (General Manager, SEA, Beckman Coulter Life Sciences)</li><li>Taryn Guinan, Ph.D (Sr Applications Specialist, ANZ, Leica Microsystem)</li><li>Edward Wong, Ph.D (Sr Manager, Gene Writing &amp; Editing, APAC, IDT)</li><li>Stephan Waldert, Ph.D (Director, Data Science &amp; AI, Abcam)</li><li>Manish Manakchand (Commercial Director, Asia, IDBS)</li><li>Namrata Saxena (Technical Manager, Phenomenex)</li><li>Hans Lin (Field Application &amp; Market Development Specialist, SCIEX)</li><li>Mok Wei Chuan (Go Silico Sales Specialist, APAC, Cytiva)</li><li>Minho Tak, Ph.D (Sr Application Scientist, JAPAC, Molecular Device)</li></ul>

SCIEX: AI and technology advancements from Danaher

AI and technology advancements from Danaher

In this live webinar, let’s explore how Danaher group of companies leverage AI and technologies in providing advanced solutions.

<h4><strong>Eight Webinars and a Roundtable with Experts from Merck&nbsp;</strong></h4><p><strong>Analytical Excellence Week' is organized to empower professionals in the field of analytical chemistry. Over the course of eight insightful sessions, industry experts will share their knowledge and best practices to streamline your analytical workflows and enhance your efficiency.</strong></p><p>From <strong>understanding quality grades</strong> in inorganics and solvents to <strong>exploring sustainable practices</strong> in the lab, each webinar covers essential topics that will enhance your analytical capabilities. Learn how to <strong>optimize your Karl Fischer titration</strong>, achieve precision in PFAS testing, and gain <strong>troubleshooting tips for LC-MS</strong> to effectively address common challenges and improve your laboratory results.<br>The sessions will also address critical aspects of <strong>safety and sustainability</strong>, ensuring you are well-equipped to handle hazardous chemicals responsibly while making strides toward greener laboratory practices.</p><p>This is an invaluable opportunity to gain insights that can significantly optimize your analytical processes. Don’t miss your chance to elevate your expertise and contribute to a more efficient and sustainable future in analytical workflows.<br>Each session is specifically designed to address essential topics that directly impact your daily practices, making it relevant for all professionals working in a chemical analysis laboratory.</p><h3><strong>Day 2: Tuesday, 11 February</strong></h3><h4><strong>Dihydropinene, γ-Valerolactone, and Dimethyl Isosorbide: Bio-Sourced Versatile Green Solvents for Diverse Organic Synthesis</strong></h4><p><strong>The growing environmental concerns and regulatory restrictions on conventional organic solvents derived from non-renewable sources have spurred the search for greener, sustainable alternatives. This presentation will explore the potential of dihydropinene (DHP), γ-valerolactone (GVL), and dimethyl isosorbide (DMI) as bio-sourced and biodegradable solvents, offering a promising solution to replace toxic and non-renewable solvents. DHP, derived from turpentine oil, is an effective substitute for solvents such as n-hexane, benzene, and dichloromethane, while GVL and DMI are ideal replacements for hazardous solvents such as DMF, NMP, and DMA.</strong></p><p>These solvents not only perform well in various chemical transformations but also offer significant environmental benefits due to their biodegradability, low toxicity, and recyclability. The presentation will highlight the applications of DHP, GVL, and DMI in green chemistry, showcasing their potential in organic synthesis and industrial processes. It will also discuss their role in advancing sustainable practices, reducing dependency on fossil-based solvents, and promoting safer working environments. By focusing on green solvent solutions, the presentation will emphasize their future potential in scientific research, production, and industrial applications.</p><p><strong>By attending this webinar, you will learn:</strong></p><ul><li><strong>Sustainable Solvent Alternatives:</strong> How bio-based solvents such as DHP, GVL, and DMI can replace conventional toxic solvents, providing eco-friendly, biodegradable options for chemical processes.</li><li><strong>Environmental and Safety Benefits:</strong> The environmental advantages of these solvents, including biodegradability, low toxicity, and recyclability, and how they promote safer and greener practices in research and industry.</li><li><strong>Practical Applications:</strong> How these solvents can be effectively used in organic synthesis, industrial processes, and various scientific fields, contributing to more sustainable and efficient chemical solutions.</li></ul><p><strong>Who should attend:</strong><br>This presentation will benefit those working in pharmaceutical and drug discovery R&amp;D, process development of API, environmental scientists and sustainability experts, industry professionals in chemical engineering and manufacturing, materials science researchers, and students and researchers in green chemistry.</p><blockquote><p><strong>Presenter:</strong> <i>Saikat Sinha, (R&amp;D Manager, Merck)&nbsp;</i></p></blockquote><h4><strong>Enhance Your PFAS Testing: Achieve Precision and Reduce Background Noise with Specialized Consumables</strong></h4><p><strong>Join this presentation to explore advanced LC-MS/MS methods for determining PFAS analytes at low levels across diverse samples and matrices. Learn how to identify contamination sources, reduce background noise, and improve testing precision with specific recommendations on PFAS-qualified consumables. Discover various LC-MS/MS PFAS testing workflows and strategies to minimize errors, supported by data from both regulated and non-regulated methods.</strong></p><p><strong>By attending this webinar, you will learn:</strong></p><ul><li>Detailed insights into different LC-MS/MS PFAS methods</li><li>Techniques to identify and test contamination sources</li><li>Strategies to reduce background noise</li><li>Practical tips and tricks for improved testing</li></ul><p><strong>Who should attend</strong>:<br>This webinar is essential for lab technicians, lab managers, and quality assurance managers involved in developing in-house methods or verifying regulated testing protocols such as EPA Methods 533, 537.1, and 1633.</p><blockquote><p><strong>Presenter: </strong>Patrik Appelblad, (Fellow and Technical Lead, Analytical Chemistry R&amp;D, Merck)&nbsp;</p></blockquote>

Merck: Webinar Series & Expert Roundtable

Webinar Series & Expert Roundtable (Day 2)

(Day 2) - Part 1: Dihydropinene, γ-Valerolactone, and Dimethyl Isosorbide: Solvents for Organic Synthesis and Part 2: Enhance Your PFAS Testing

<p><strong>Understanding the tissue microenvironment in tumour samples is an important factor for predicting response to different treatment regimens. Highly multiplexed imaging of tenfolds of protein markers can help to define this complex biology. However, these assays are costly and not always easy to scale for larger translational studies that are often needed to translate findings to clinical evidence.&nbsp;</strong></p><p>In this webinar, we demonstrate how we move from a highly multiplexed imaging platform used in a discovery phase to identify a marker for response prediction to immunotherapy at the translational phase. This transition was possible with the use of the Invitrogen™ EVOS™ S1000 Spatial Imaging System in combination with the Invitrogen™ Aluora™ Spatial Amplification Kits and a panel of 6 markers. By focusing on the most relevant targets from the discovery panel, the cost per sample is reduced to about 25 % of the initial assay, thereby resulting in a more affordable option for larger translational cohort studies. In addition, we show how relevant protein markers can be combined with in situ proximity Ligation Assay (is PLA) to simultaneously look at protein interactions, in this case demonstrated for PD-1/PD-L1. In summary, this workflow enables scalable, cost-effective spatial biology approaches that bridge discovery and clinical translation.&nbsp;</p><h4><strong>Learning Objectives:</strong></h4><ul><li>Learn how to transition from discovery to translational proteomic imaging assays&nbsp;</li><li>Understand how spectral imaging with the EVOS S1000 Spatial Imaging System can be used for hypothesis-driven research</li><li>Explore the use of spatial amplification reagents for exploring the tissue microenvironment</li></ul><blockquote><p><strong>Presenter: </strong>Charlotte Stadler, PhD (Co-director of Spatial Biology and Head of the National Spatial Proteomics facility at Science for Life Laboratory)</p><p>Charlotte Stadler is the co-director of the Spatial Biology platform and Head of the National Spatial Proteomics facility at Science for Life Laboratory. She is also a Principal Investigator at the Royal Institute of Technology. She received her Ph.D. in 2012 within the framework of the Human Protein Atlas (HPA) project, with Prof. Emma Lundberg and Prof. Mathias Uhlén as her supervisors. During her PhD she established many of the protocols and pipelines for image based subcellular protein profiling that are used in the Human Protein Cell Atlas. Today, her main focus is to develop and implement services and technologies within spatial biology that can be used projects ranging from discovery to translational and clinical research. In her role she works with many companies in the spatial omics field including Thermo Fisher Scientific. Her internal research projects focus on the implementation and adaptation of multiplexed imaging solutions into clinical practice but also on integrating different omics types for a more complete molecular understanding of the tissue sample biology.&nbsp;</p></blockquote><blockquote><p><strong>Presenter: </strong>Adyary Fallarero, PhD, MBA (Sr. Manager, Thermo Fisher Scientific, Faculty of Pharmacy, University of Helsinki, Finland)</p><p>Dr. Fallarero earned PhD in Biochemistry from the University of Havana, Cuba and a Master in International Business Management (MBA) from the Tampere University of Applied Sciences, in Finland.</p><p>During her more than 10 years of academic career, she published over 75 peer-reviewed publications, co-authored over 10 patents, and was awarded multiple grants to lead research programs focused on early drug discovery of anti-biofilms. In 2018, she received the prestigious Oskar Öflund’s Foundation Grand Prize, for her contributions to the development of the field of bacterial biofilms in Finland.</p><p>She joined Thermo Fisher Scientific in 2016 to work on cell analysis instrumentation, gaining significant expertise in new product development and product management. Since 2021, she has been responsible for new product introductions, portfolio management and commercial enablement of cell and tissue imaging systems.</p></blockquote>

Thermo Fisher Scientific: Spatial Proteomics for Translational Research

Spatial Proteomics for Translational Research

Scale spatial proteomics from discovery to translation. Learn how Thermo Fisher's EVOS S1000 & Aluora kits reduce sample costs for tumor imaging

ICPMS webinars focusing on Consumables - page 1