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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<header><h4><strong>Useful Techniques for Identification and Characterization</strong></h4></header><main><div><div><h5><strong>Program</strong></h5><ul><li>What are thermosets? Basic properties and formation</li><li>Thermal analysis techniques for studying thermosets</li><li>Application examples using DSC, TGA, TMA, and DMA</li><li>Which technique should be used in your analysis?</li><li>Interactive Q&amp;A session</li></ul></div></div><div><div><div><p>A thermoset is a polymer that undergoes a particular chemical reaction, known as curing, to form a permanent, heavily cross-linked structure. The material cannot be melted or remolded to form a new shape, even at high temperatures. Thermosets are typically rigid and insoluble, with high mechanical strength and temperature stability. Examples include epoxy resins, phenolic resins, polyesters, and polyurethanes.</p><p>Due to their highly temperature-dependent physical behavior, thermal analysis is an ideal set of techniques for identifying and characterizing these materials.</p><p>This webinar discusses the most important thermal properties of thermosets and describes useful thermal analysis techniques used to analyze them.</p><p><strong>Register now to secure your spot and join the live Q&amp;A!</strong></p><h4><strong>How to Characterize Thermosets</strong></h4><p>Different thermal techniques can be used to determine the key properties of these materials:</p><ul><li><strong>DSC:</strong> Useful for determining glass transition, melting, reaction enthalpies, curing and thermal stability.</li><li><strong>TGA:</strong> Mainly used for composition analysis, thermal stability, decomposition, evaporation, and desorption behavior.</li><li><strong>TMA: </strong>Typically used to study mechanical behavior such as expansion, shrinkage, softening, plus glass transition.</li><li><strong>DMA: </strong>Best for studying viscoelastic behavior, glass transition, and frequency-dependent effects.</li></ul><h4><strong>What is a Typical Analysis of a Thermoset?</strong></h4><p>A typical and important analysis of a thermoset is the characterization of epoxy resin materials. In this case, determining the glass transition temperature (Tg) and investigating the curing reaction are highly important. This information can be used in manufacturing, for example testing the process conditions required to properly cure thermosets. It can also be used in quality control, to check the expected Tg of a known material.&nbsp;</p></div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><div style="max-width:1px;width:100%;" id="mediaContainerWrapper_2110920040"><div style="height:1px;width:1px;" data-external-url="" id="mediaContainer_2110920040" data-advanced-option="false" data-width="1" data-height="1" data-video-id="">&nbsp;</div></div></div></div></div></div></main><div><div><div data-advanced-option="false" data-has-preview-image="false" data-video-id="" data-component-id="2110920040"><blockquote><div><strong>Presenter: </strong>Dr. Teresa Dennenwaldt</div><p>Dr. Teresa Dennenwaldt obtained her PhD in chemistry in 2013 and completed a postdoc at the Ecole Polytechnique Fédérale de Lausanne, Switzerland in the field of electron microscopy and spectroscopy. In 2018, she joined METTLER TOLEDO as an application specialist for Thermal Analysis. In her current position, she expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.</p></blockquote></div></div></div>

Mettler Toledo: Thermal Analysis of Thermoset Materials

Thermal Analysis of Thermoset Materials

This webinar discusses the most important thermal properties of thermosets and describes useful thermal analysis techniques used to analyze them.

<p><strong>Preventive maintenance is essential for consistent ICP-OES performance and long-term instrument reliability. This presentation provides a practical overview of what components require routine cleaning, how to clean them effectively, and when maintenance should be performed based on sample load and performance indicators. Common issues such as signal drift, plasma instability, and reduced sensitivity are linked to maintenance-related causes. Attendees will gain actionable guidance to improve data quality, minimize downtime, and extend consumable lifetime through proactive ICP-OES maintenance practices.</strong></p><blockquote><p><strong>Presenter:</strong> Kristen Pisanko (Pre-Sales Application Engineer, Agilent Technologies, Inc.)</p><p>Kristen Pisanko is a Pre-Sales Application Engineer with a focus on ICP-OES applications across diverse sample matrices. She has significant experience working with organic samples, including challenging and complex matrices, while also supporting high-throughput aqueous analyses. Kristen partners with customers to develop robust methods, improve data quality, and ensure successful implementation of analytical solutions across varied workflows</p></blockquote>

Agilent Technologies: ICP-OES Preventive Maintenance: What to Clean, How, and When

ICP-OES Preventive Maintenance: What to Clean, How, and When

Master ICP-OES preventive maintenance. Learn what components to clean, optimal schedules, and practical tips to prevent signal drift and instrument downtime

ICP-OES Preventive Maintenance & Best Practices

<p><strong>Accurate determination of trace metallic impurities in high purity titanium is essential for advanced materials applications, including semiconductor and aerospace manufacturing, where impurity levels directly influence performance and reliability. In this study, triple quadrupole Inductively Coupled Plasma Mass Spectrometry (ICP-QQQ) system equipped with a collision/reaction cell (CRC) was evaluated for the analysis of impurity elements in a high titanium matrix.</strong></p><blockquote><p><strong>Presenter:</strong> Bert Woods (Application Scientist, Agilent Technologies, Inc.)</p><p>Joined the Agilent ICP-MS team in 2004, with previous employment in the semiconductor industry with Dominion Semiconductor (IBM/Toshiba) and Micron. Bert is a 1997 Chemistry graduate of Radford University in Virginia and an avid Washington DC Sports fan.</p></blockquote>

Agilent Technologies: Analysis of High Purity Titanium Using an Agilent 9500 ICP-QQQ

Analysis of High Purity Titanium Using an Agilent 9500 ICP-QQQ

Measure trace impurities in high-purity titanium using the Agilent 9500 ICP-QQQ. Optimize quality for semiconductor and aerospace applications

Titanium Impurity Analysis: Agilent 9500 ICP-QQQ

<p><strong>Two-dimensional transition metal carbides and nitrides (MXenes) are a vast family of 2D nanomaterials that can be precisely designed at the atomic scale to meet next-generation energy and device demands, spanning advanced catalysis to high-performance batteries to harsh environment stable microelectronics. Among microelectronic materials, MXenes stand out as one of the few 2D materials metallic conductors capable of maintaining remarkable structural stability at extreme temperatures (&gt;600 °C).</strong></p><p>Utilizing Anton Paar's advanced in-situ high-temperature X-ray diffraction (XRD) non-ambient chambers, we tracked the real-time structural dynamics, lattice parameters, and phase evolution of these materials in high temperature environments. Crucially, our in-situ investigations demonstrate that specific MXene compositions retain their structural integrity up to 1200 °C.</p><p>These findings demonstrate the extreme stability of MXenes for the first time, which unlocks new pathways for their deployment in robust, high-temperature functional devices and harsh-environment applications.</p><h4><strong>Key takeaways:</strong></h4><ul><li>MXenes are a large family of materials which can be precisely designed at the atomic scale to meet next-generation energy demands, including catalysis, batteries, and devices</li><li>MXenes are one of the few high-temperature stable 2D nanomaterials which are functional in both inert/vacuum and ambient environments</li><li>Future development of harsh environment stable and functional devices can integrate MXenes as direct interconnects to replace critical minerals such as Cu or Ru or directly function as metallic contacts in 2D transistor based devices</li></ul><blockquote><p><strong>Presenter: </strong>Brian Wyatt</p><p>Brian C. Wyatt is a Maria Goeppert Mayer Fellow at Argonne National Laboratory in the Applied Materials Division, working in the Nanocomposite Materials and Membrane Manufacturing Group. He received his Ph.D. in Mechanical Engineering from Purdue University in 2024, where he investigated the high-temperature behavior of two-dimensional (2D) transition metal carbides (MXenes). His current research focuses on the application-driven chemical design of 2D materials, including MXenes, as stable, multifunctional, high-performance materials for catalytic and electronic applications operating under harsh energy-relevant conditions.</p></blockquote>

Anton Paar: Extreme-Temperature Stability of MXenes Revealed by In-Situ High-Temperature XRD

Extreme-Temperature Stability of MXenes Revealed by In-Situ High-Temperature XRD

Discover extreme temperature stability of 2D MXenes up to 1200 °C. Learn how in-situ high-temperature XRD unlocks new microelectronic applications

Extreme Thermal Stability of MXenes: In-Situ HT-XRD

<div><p><strong>Antibody-based PET/MRI combines highly specific molecular imaging with detailed brain anatomy, enabling more accurate diagnosis, patient stratification, and treatment monitoring in neurological diseases. Its clinical application is currently limited by the challenge of delivering antibodies across the blood–brain barrier.</strong></p><p>The webinar will provide an overview of the latest advances in antibody-based PET/MRI for brain imaging, with a particular focus on quantitative imaging and kinetic modelling. The session will discuss the development of novel antibody-based tracers, strategies to overcome the blood-brain barrier, and their applications in neuro-oncology and neurodegenerative diseases. Emphasis will be placed on the added value of quantitative PET biomarkers for understanding the kinetics of antibody-based radiotracers and characterizing target expression in vivo.</p><h4><strong>Key Learning Points</strong></h4><ul><li>Antibody-based PET/MRI for brain imaging</li><li>Neuro-oncology and neurodegenerative diseases</li><li>Quantitative imaging and kinetic modelling</li></ul><h4><strong>Who Should Attend</strong></h4><p>This webinar is of interest to researchers working in neuro-oncology, neurodegenerative diseases, and brain-targeted drug development who use medical imaging techniques. It will be particularly relevant for those interested in quantitative PET biomarkers, kinetic modeling, antibody-based imaging, and the role of PET/MRI in characterizing biological processes and target expression in vivo.</p><blockquote><p><strong>Presenter:</strong> Pablo Aguiar Fernandez, PhD (Professor of Radiology and Nuclear Medicine, CIMUS, University of Santiago de Compostela, Spain)</p><p>Pablo Aguiar is a Senior Researcher at CIMUS and Professor of Radiology and Nuclear Medicine at the University of Santiago de Compostela (Spain) and an internationally recognized expert in brain PET/MRI quantification. With more than 20 years of experience in both preclinical and clinical PET imaging, his research focuses on developing quantitative PET methods, kinetic modelling, and new antibody-based PET approaches for neuroimaging. He has authored more than 100 peer-reviewed papers in quantitative PET imaging, including leading journals such as EJNMMI, JNM, Neuroimage, Nature Comm, JAMA, JAMA Neurology, and Journal of Controlled Release. He founded Qubiotech, a successful imaging software company whose clinical PET/MRI quantification platform is currently implemented in more than 50 hospitals across Europe. He is a member of the EANM Neuroimaging Committee, where he contributes to the development of European guidelines for brain PET imaging in neurological disorders.</p></blockquote><blockquote><p><strong>Presenter: </strong>Siddanna Vrushabendra Swamy Hartimath, PhD (Bruker NMI Applications Scientist)</p><p>Siddesh holds a PhD from the University of Groningen, where he developed novel PET/SPECT tracers for CXCR4 imaging. He later joined as a research scientist at the University of Saskatchewan, Canada, and A*STAR Singapore, focusing on molecular imaging probes, imaging biomarkers, and multimodal preclinical imaging technologies, including PET/SPECT, MRI, and CT.</p></blockquote></div>

Bruker: Brain PET/MRI with Antibody-Based Tracers: A Quantitative and Kinetic Modeling Perspective

Brain PET/MRI with Antibody-Based Tracers: A Quantitative and Kinetic Modeling Perspective

Master antibody-based brain PET/MRI. Learn how kinetic modeling and quantitative biomarkers overcome BBB delivery challenges in neuroimaging

Brain PET/MRI with Antibody Tracers: Kinetic Modeling

<p><strong>Contamination is one of the most common causes of deteriorated product quality and equipment performance in industrial environment. FTIR has been proven to be a valuable tool to characterize the contamination rapidly and economically. Agilent’s compact and portable FTIR spectrometers provide a complete product portfolio with versatile sampling interfaces and spectral process capabilities, which can offer great convenience, stability and high-throughput solution to the contamination-related applications.</strong></p><blockquote><p><strong>Presenter:&nbsp;</strong> Yanqia Wang, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)</p><p>Dr. Yanqia Wang started working for Agilent Technologies Inc. as a FTIR application Engineer in 2013, providing pre-&amp;post-sale application support. The products he covers from Bench-top FTIR microscopes to various Mobile FTIR spectrometers. Dr. Wang received his PhD of analytical chemistry from Duke University in 2004, doing dynamic IR spectroscopy research. Then he joined Fitzpatrick Center for Photonics at Duke University, doing Tissue Raman spectrometer instrumentation. Since 2007, Dr. Wang worked for Avery Dennison Corp. as a spectroscopist, providing molecular analytical support to the research &amp; development.</p></blockquote>

Agilent Technologies: Learn How FTIR Can Help You with Contamination and Poor Product Quality

Learn How FTIR Can Help You with Contamination and Poor Product Quality

Solve contamination and quality issues with Agilent FTIR. Learn how compact, portable FTIR spectrometers enable fast, high-throughput identification

Agilent FTIR: Rapid Contamination Analysis

<p><strong>This session will focus on setting up a simple quantification method by FTIR, using MicroLab and MicroLab Quant. It will include scanning standards and showing how to use them in preparation of the calibration curve, through to the analysis of real samples by FTIR.</strong></p><blockquote><p><strong>Presenter:&nbsp;</strong> Louis Tisinger, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)</p><p>Louis (Lou) Tisinger has a Ph.D. in Analytical Chemistry from Miami University in Oxford Ohio, where his graduate research involved the study of ATR imaging and microscope performance in vibrational spectroscopy. Most of his career has been related to pre- and post-sales support of FTIR spectrometers, microscopes, imaging systems, and thermal analytical instruments, focusing on analyzing customer samples, demonstrations, post-sales training, troubleshooting, and R&amp;D.</p></blockquote>

Agilent Technologies: How to Perform Routine Quantification by FTIR: Tips & Tricks Workshop

How to Perform Routine Quantification by FTIR: Tips & Tricks Workshop

Master routine FTIR quantification. Learn how to use MicroLab and MicroLab Quant software to measure standards, build calibration curves, and test samples

Routine FTIR Quantification Workshop: MicroLab Tips

<p><strong>Complex sample matrices can make trace element analysis challenging, particularly when spectral interferences limit confidence in results. In applications such as mining analysis, conventional ICP-OES approaches may not always provide the resolution needed to clearly separate overlapping signals or achieve the detection limits required for demanding workflows.</strong></p><p>In this 20-minute TechTalk, discover how high-resolution ICP-OES can help overcome spectral interferences, improve confidence in elemental analysis, and deliver reliable results for complex samples. The session will show how enhanced spectral resolution, combined with strong sensitivity, can support more robust trace element detection where conventional approaches may reach their limits.</p><p>Designed for ICP-OES users, elemental analysis specialists, analytical chemists, method developers, laboratory managers, QC/QA professionals, and researchers working with complex sample matrices, this session will provide practical insight into how high-resolution ICP-OES can strengthen analytical performance and support confident decision-making in challenging applications.</p><h5><strong>Certificate of attendance</strong></h5><p>If you attend the live TechTalk, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. If you view the on-demand TechTalk, you can request a certificate of attendance by emailing editor@selectscience.net.</p><h5><strong>TechTalk details</strong></h5><p><strong>&nbsp; &nbsp;Cost: </strong>Free to attend<br><strong>&nbsp; &nbsp;Location: </strong>Online<br><strong>&nbsp; &nbsp;Duration: </strong>20 minutes</p><p><i>Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on-demand recording once it becomes available.</i></p><h5><strong>Who should attend?</strong></h5><p>This event is perfect for:</p><ul><li>ICP-OES users</li><li>Elemental analysis specialists</li><li>Analytical chemists and method developers</li><li>Laboratory managers and quality managers</li><li>QC/QA professionals</li><li>Researchers working with complex sample matrices</li><li>Scientists evaluating elemental analysis technologies</li></ul><h5><strong>What will this webinar cover?</strong></h5><p>Key learning objectives:</p><ul><li>Understand how high-resolution ICP-OES helps resolve spectral interferences in complex samples.</li><li>Explore application examples where conventional ICP-OES approaches may reach their limits.</li><li>Discover how high resolution combined with best sensitivity enables extraordinary detection limits</li></ul><blockquote><p><strong>Presenter:</strong> Dr. Kilian Schneider (Product Specialist ICP-OES, Analytik Jena GmbH+Co.KG)</p><p>Dr. Kilian Schneider is a Product Specialist for ICP-OES at Analytik Jena, based in Jena, Germany. He specializes in elemental analysis and supports customers worldwide in the development and optimization of analytical methods for challenging applications. His expertise covers a broad range of industries, including mining, environmental analysis, chemicals, advanced materials, energy, and recycling. Dr. Schneider is actively involved in application development, customer support, technical training, and the introduction of innovative ICP-OES solutions for complex analytical challenges.</p></blockquote>

SelectScience: TechTalk - Benefits of high-resolution ICP-OES for challenging applications

TechTalk: Benefits of high-resolution ICP-OES for challenging applications

Learn how high-resolution ICP-OES from Analytik Jena overcomes spectral interferences and improves trace element analysis in complex sample matrices

High-Resolution ICP-OES for Complex Sample Matrices

<p><strong>Microplastic pollution is an increasing environmental concern, but accurate analysis remains challenging due to labor-intensive sample preparation methods and inconsistent reproducibility.</strong></p><p>This webinar explores recent advances in microplastic analysis and how automation is helping improve workflow efficiency, consistency, and confidence in analytical results.</p><p>Attendees will gain insight into current approaches for addressing common preparation challenges and discover how advanced technologies are supporting more reliable environmental research and monitoring.</p><h5><strong>Attend this webinar to:</strong></h5><ul><li>Learn about the latest automated microplastic preparation methods</li><li>Explore the latest research on microplastics in the environment</li><li>Discover various analytical examples of microplastics, including those using µFTIR</li></ul><blockquote><p><strong>Speaker:</strong> Markus Sillanpää, PhD (Principal researcher, Finnish Environment Institute (Syke))</p><p>Dr. Markus Sillanpää is a docent in environmental science at the University of Jyväskylä and a principal researcher at the Finnish Environment Institute (Syke), specializing in analytical and environmental chemistry. He earned his PhD in chemistry from the University of Helsinki in 2006, focusing on aerosol science. His research investigates the sources, fate, and environmental impacts of microplastics, engineered nanoparticles, and atmospheric aerosols. A highly cited author, his work informs environmental policy and promotes evidence-based approaches to sustainable environmental management.</p></blockquote><blockquote><p><strong>Speaker:</strong> Kazuki Sobue (Assistant Manager, Application Specialist)</p><p>Kazuki Sobue is an application chemist who has worked in the analytical and measuring instrument division of Shimadzu Corporation in Japan for 12 years. His expertise includes spectroscopic analysis techniques, including fourier transform infrared spectroscopy and raman spectroscopy. He is also a member of ISO/TC 147/SC2/JWG1, where his recent work has focused on the spectroscopic analysis of microplastics.</p></blockquote>

Technology Networks: Automating Microplastic Analysis To Support Water Quality Research

Automating Microplastic Analysis To Support Water Quality Research

Automate microplastics analysis for water quality testing. Discover advanced sample preparation methods and µFTIR workflows to boost reproducibility

Automated Microplastic Analysis in Water Quality Research

<h4><strong>The Problem</strong></h4><p>Closed-loop experimentation has the potential to dramatically accelerate scientific discovery, but building the infrastructure to connect automation, analytics and scientific decision-making can be a major undertaking. Researchers often spend valuable time integrating software, moving data between systems and developing custom workflows instead of advancing their science.&nbsp;</p><h4><strong>The Solution</strong></h4><p>Stuntman provides an AI-ready, flexible framework for continuous experimentation. Built-in integration between automation and analytical tools streamlines sample transfer and data flow, eliminating much of the infrastructure required to build closed-loop workflows. Whether using Stuntman's built-in AI or connecting your own optimization and decision making tools, its open architecture gives researchers the freedom to tailor workflows to their own applications, instruments and scientific approaches.&nbsp;</p><h4><strong>The Proof</strong></h4><p>Join this webinar to see how Stuntman keeps discovery moving with automated execution and seamless integration to analytical tools. Watch Stuntman in action and learn how its flexible framework can be adapted to support AI-driven scientific workflows across chemistry, biologics, materials science and more.</p><h4><strong>Key Learning Objectives:</strong></h4><ul><li>Discover how Stuntman reduces the infrastructure and integration burden of building closed-loop experimentation workflows.</li><li>Learn how Stuntman enables AI-driven experimentation, using built-in AI or your own optimization and decision-making tools to guide experiments.</li><li>Explore how Stuntman’s flexible, open architecture can be adapted to different instruments, workflows, and applications across chemistry, biologics, materials science, and more.</li></ul><blockquote><p><strong>Presenter: </strong>Rick Sidler, PhD (Director of Field Automation Scientists, Unchained Labs)</p><p>Rick Sidler is the Director of Field Automation Scientists at Unchained Labs. He enjoys working with scientists to design systems and workflows, and to provide user training and support. Prior to joining Unchained Labs, Rick spent more than 20 years in the Process Research department at Merck Research Labs, where he was a user of Symyx and Freeslate automated workflows for 12 years. He holds B.S. and Ph.D. degrees in Chemistry.</p></blockquote><blockquote><p><strong>Presenter:&nbsp;</strong>Alexandra Taylor (Contributing Editor, ACS Media Group)</p></blockquote>

C&EN: Fast Track Closed-Loop Experimentation with AI-Driven Automation on Stuntman

Fast Track Closed-Loop Experimentation with AI-Driven Automation on Stuntman

Accelerate scientific discovery with Stuntman. Learn how AI-driven automation and closed-loop workflows streamline analytics and experimental execution