Staining Tissues with Basic Blue 7: A New Dual-Polarity Matrix for MALDI Mass Spectrometry Imaging

Analysis of Fentanyl and Fentanyl Analogs Using Atmospheric Pressure Chemical Ionization Gas Chromatography–Mass Spectrometry (APCI-GC-MS)

This study introduces a simple and absolute method called evaporated volume analysis (EVA) for determining the number concentration of nanoparticles. The technique involves depositing macroscopic volumes of nanoparticle dispersions onto a glass surface, allowing the solvent to evaporate, and subsequently scanning the entire dried droplet with an optical microscope. Stitched micrographs enable AI-assisted counting of thousands of nanoparticles per droplet.&nbsp;The method was validated using ∼60 nm Tm³⁺-doped photon-upconversion nanoparticles, achieving a combined relative standard uncertainty of 2.7%, and was further tested with ∼80 nm Nile red-doped polystyrene and ∼90 nm silver nanoparticles. Theoretical performance limits, including detection limits, quantification limits, and optimal working ranges, are also discussed.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555">Optical Microscopy and Deep Learning for Absolute Quantification of Nanoparticles on a Macroscopic Scale and Estimating Their Number Concentration</a></h4>Antonín Hlaváček, Kateřina Uhrová, Julie Weisová, Hana Brožková, Naděžda PizúrováAnal. Chem. 2025, 97, 5, 2588–2592<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.4c05555">https://doi.org/10.1021/jasms.4c00455</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Many new substances─nanoparticles─have been recently prepared and advanced research and technology. They also compose our environment and bodies where part of them is of natural origin and the other part is contributed by human activity. Besides others, the absolute quantification of nanoparticles and estimating their number concentrations (i.e. the number of nanoparticles in a given volume) are important for standardization, trading, studying nanoparticle properties, researching their role in the environment, and evaluating their toxicity. <a href="javascript:void(0);" aria-label="reference 1 and 2">(1,2)</a> Available techniques for nanoparticle quantification measure either the ensemble property of nanoparticle dispersion or utilize nanoparticle counting. <a href="javascript:void(0);" aria-label="reference 1 and 2">(1,2)</a> The counting is absolute and more straightforward. <a href="javascript:void(0);" aria-label="reference 1 and 2">(1,2)</a> Two types of counting approaches─serial and parallel─can be recognized. In serial counting, the nanoparticles are detected individually when the dispersion streams through a detector. Optical detection, <a href="javascript:void(0);" aria-label="reference 3">(3)</a> resistive pulse sensing, <a href="javascript:void(0);" aria-label="reference 4">(4)</a> or single particle mass spectroscopy <a href="javascript:void(0);" aria-label="reference 5">(5)</a> can be used. In a parallel setting, microscopy is used for imaging and counting large numbers of nanoparticles in a single micrograph. For instance, optical microscopy was used for counting and tracking single nanoparticles in a free dispersion. <a href="javascript:void(0);" aria-label="reference 6">(6)</a>However, these methods are limited by short detection times, which prevent us from counting small nanoparticles (∼30 nm) with generally low signals. <a href="javascript:void(0);" aria-label="reference 6 and 7">(6,7)</a> In serial counting, the detection time is limited by a need for sufficiently fast flow and diffusion of nanoparticles imposes limits in single-particle tracking. The problem of moving nanoparticles was solved by their embedding in gels <a href="javascript:void(0);" aria-label="reference 8">(8)</a> or resins. <a href="javascript:void(0);" aria-label="reference 9">(9)</a> However, the detection is still limited by a background signal <a href="javascript:void(0);" aria-label="reference 7">(7)</a> from the gel-enclosed solvent, gel matrix, or resin, and the complexity of instrumentation. <a href="javascript:void(0);" aria-label="reference 8 and 9">(8,9)</a> To overcome these limitations, specialized sampling approaches are developed when the nanoparticles are immobilized on a suitable substrate and the solvent is removed traceably. For instance, a nanopipette was designed for transmission electron microscopy (TEM), <a href="javascript:void(0);" aria-label="reference 10">(10)</a> and anisotropically collapsing gels were used for optical microscopy. <a href="javascript:void(0);" aria-label="reference 11">(11)</a>Here, we present a simplistic approach (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555#sch1" aria-label="Scheme 1">Scheme 1</a>). A macroscopic volume of nanoparticle dispersion is dropped on a glass surface and the solvent is freely evaporated. An optical microscope scans the dried droplet, and all nanoparticles are counted. We call this method evaporated volume analysis (EVA) because all nanoparticles are counted after droplet volume evaporation. Indeed, the EVA is not a completely new technique and was used either for larger particles with specific imaging signals (e.g. 107 nm Eu chelate-doped polystyrene nanoparticles in time-resolved fluorescence microscope) <a href="javascript:void(0);" aria-label="reference 12">(12)</a> or for counting particles from microscopic droplets fitting the single field of view of the microscope (e.g. gold nanoparticles in piezo-dispensed microdroplets in scanning electron microscope). <a href="javascript:void(0);" aria-label="reference 13">(13)</a> On the other hand, theoretical limits, and uncertainty sources were not investigated. The EVA was also overlooked in reviews dedicated to the methods of nanoparticle quantification. <a href="javascript:void(0);" aria-label="reference 1 and 2">(1,2)</a> The reasons for this limited use can be (1) contradicting requirements for sensitivity and the field of view (tends to image either large particles or working with impractically small volumes/fields of view), <a href="javascript:void(0);" aria-label="reference 7">(7)</a> (2) the need for counting large numbers of nanoparticles (counting uncertainty decreases with number of counted nanoparticles), (3) nanoparticle spatial organization during the droplet drying (causing nanoparticle overlaps and subsequent miscounting). <a href="javascript:void(0);" aria-label="reference 14">(14)</a> We solved these problems by (1) stitching multiple micrographs of small fields of view ultimately covering macroscopic scales, (2) artificial intelligence automated the counting of nanoparticles, and (3) nanoparticle clustering was prevented by introducing ultralow gelling agarose. As a model, an aqueous dispersion of ∼60 nm Tm3+-doped photon-upconversion nanoparticles (UCNPs) coated in carboxylated silica shells (UCNP-COOHs) are quantified. Uncertainty sources are discussed and theoretical limits are analyzed. A wider applicability is tested by imaging ∼80 nm Nile red-doped polystyrene nanoparticles (NileNPs) and ∼90 nm silver nanoparticles (AgNPs). See the <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c05555/suppl_file/ac4c05555_si_001.pdf">Supporting Information</a> (SI) for nanoparticle synthesis (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c05555/suppl_file/ac4c05555_si_001.pdf">SI Note S1</a>) and characterization (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c05555/suppl_file/ac4c05555_si_001.pdf">SI Note S2</a>).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2025_97_5_2588_2592_Scheme_1_4720dbde56.jpeg" alt="Anal. Chem. 2025, 97, 5, 2588–2592 - Scheme 1 a) Nanoparticles (blue dots) in ultra-low-gelling agarose b) After gelling and drying, c) the entire droplet is covered with a grit of 6×6 images, the images are stitched, and nanoparticles are counted" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2025_97_5_2588_2592_Scheme_1_4720dbde56.jpeg 245w," sizes="100vw" width="1000" height="583">TEM showed ∼60 nm oleic acid-capped NaYF4 UCNPs doped with 18% Yb3+ and 2% Tm3+ (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c05555/suppl_file/ac4c05555_si_001.pdf">Figure S1, SI Note S2</a>). The UCNP-COOHs were formed by coating the UCNPs with a ∼ 5 nm thick carboxylated silica <a href="javascript:void(0);" aria-label="reference 15">(15)</a> (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>a, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c05555/suppl_file/ac4c05555_si_001.pdf">Figure S2, SI Note S2</a>) and were stored as a concentrated aqueous dispersion (11.8 ± 0.24 mg mL–1). The sizes were confirmed by dynamic light scattering estimating hydrodynamic diameters at 69 and 78 nm for oleic acid-capped UCNPs and UCNP-COOHs, respectively (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>b). The dispersion of UCNP-COOHs was virtually aggregate-free as confirmed by agarose gel electrophoresis (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>c). Under the excitation of 976 nm, the UCNP-COOH emitted strongly at near-infrared (802 nm, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>d), and in the epiphoton-upconversion microscope appeared as diffraction-limited spots with a full width at half-maximum of 1.8 px (1.2 μm, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.4c05555#fig1" data-tab="pane-pcw-Figures" id="">Figure 1</a>e,f, <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.4c05555/suppl_file/ac4c05555_si_001.pdf">SI Note S3, Figure S3</a>).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2025_97_5_2588_2592_Figure_1_eb43eecb83.jpeg" alt="Anal. Chem. 2025, 97, 5, 2588–2592 - Figure 1" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2025_97_5_2588_2592_Figure_1_eb43eecb83.jpeg 104w," sizes="100vw" width="1000" height="1504">Nanoparticle properties. (a) TEM image of UCNP-COOHs. (b) Hydrodynamic diameters of UCNPs with different surface modifications. (c) UCNP-COOH agarose electrophoresis. (d) The emission spectrum of UCNP-COOHs in water. (e) Epiphoton-upconversion microscopy of UCNP-COOHs in the dried droplet (exposure 5 s). (f) Nanoparticle spot cross sections as indicated in (e). (c-f) Excitation 976 nm. Emission (c) 764–822 nm, and (e,f) 800 ± 25 nm.<h3>Conclusion</h3>In conclusion, image stitching, artificial neural networks, and agarose gel refined the properties of EVA. The number concentration of ∼60 nm UCNPs was estimated with a relative standard uncertainty of 2.7%. Imaging fluorescent NileNPs and plasmonic AgNPs confirmed the wider applicability.

Optical Microscopy and Deep Learning for Absolute Quantification of Nanoparticles on a Macroscopic Scale and Estimating Their Number Concentration

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 10th February 2025? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you applications and other documents by Shimadzu, Agilent Technologies and Thermo Fisher Scientific!<h4>1. Agilent Technologies: Analysis of Aldehydes, Benzene, and Limonene in Recycled Polyethylene&nbsp;Terephthalate&nbsp;</h4>Using an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=Agilent+7697">Agilent 7697</a> headspace sampler and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=3-14&amp;manufacturerItems=1&amp;search=8890+5977">8890/5977C GC/MSD</a><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_aldehyde_benzene_limonene_pet_7697_headspace_8890_5994_8063en_agilent_1_af1ee904b7.pdf">Full PDF for download</a></li></ul>PET is commonly used in the food and beverage industry, as it is easy to recycle. The quantity of food containers and beverage bottles made from recycled PET materials is on the rise.&nbsp;Contaminants in recycled PET, including acetaldehyde, benzene, and limonene, can migrate from the packaging into the contents, potentially affecting the safety and quality of the products stored inside.1 Monitoring these contaminants is crucial for ensuring the quality of recycled PET products, as they can affect the physical, chemical, and sensory properties of recycled PET, potentially leading to product defects or health concerns.&nbsp;This application note demonstrates the use of a 7697 headspace sampler and 8890/5977C GC/MSD for the analysis of acetaldehyde, benzene, and d-limonene in recycled PET materials. With the developed method, acetaldehyde, benzene, and d-limonene in three recycled PET samples were successfully quantified.&nbsp;<h4>Conclusion</h4>This application note describes the quantitative analysis of acetaldehyde, benzene, and d-limonene using an Agilent 8890/5977C GC/MSD with an Agilent 7697 headspace sampler. This method offers the advantages of full automation, rapid analysis, and minimum sample preparation. With this automated workflow solution, excellent sensitivity was demonstrated with an LOD of 0.034 ng/µL for acetaldehyde, 0.002 ng/µL for benzene, and 0.006 ng/µL for d-limonene. Good linearity was demonstrated, with R2 above 0.999 for all three compounds over wide concentration ranges. Three recycled PET samples were analyzed, with a detection of acetaldehyde from 474 to 975 μg/kg, benzene from 5.5 to 18.6 μg/kg, and d-limonene from 0.42 to 3.21 μg/kg.&nbsp;<h4>2. Shimadzu: GC/MS Analysis of Fluorophosphates as Decomposition Products in Lithium Battery Electrolyte</h4><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_05_sca_280_105_en_d3dcd7b97d.pdf">Full PDF for download</a></li></ul>User Benefits:<ul><li>A routine and fast GC/MS method for detection of LIB decomposition products.</li><li>Monitoring of the LIB electrolyte after manufacturing, storage and transport.</li><li>Fluorophosphates can be considered as markers for a started electrolyte decomposition.</li></ul>The electrolyte solution is a crucial part of a typical Lithium-ion battery, consisting Li salt (f.e. LiPF6), organic carbonates and additives to ensure a stable transport of Li ions during charging and discharging processes. A significant part of battery aging can be considered as a result of the decomposition of the electrolyte. At the end of this chemical and electrochemical processes oligomeric organic compounds 1) and organophosphates 2,3) could be detected. Especially fluor containing organophosphates are of interest due to their potential neurotoxicity 4,5,6).While the electrochemical aging takes place in a battery itself, the chemical aging starts already during manufacturing, storage and transport of the electrolyte. Typical factors that influence this are: exposure to air and moisture, too high temperature at manufacturing/storage, long term storage in general. Wrong materials in the production pipeline like glass are problematic as well due to a catalytic reaction of the fluoric acid traces with SiO2 as follows:&nbsp;SiO2 + 6HF → H2[SiF6] +2H2OThis application examples of analysis of the electrolyte solution for qualitative determination of fluorophosphates as a possibility for an earlystage quality control.<h5>Experimental</h5>25 µl LIB electrolyte consisting Ethyl methyl carbonate and Ethylene carbonate 1:1 with 1M LiPF6 has been diluted with 1 mL dichloromethane and centrifuged for 5 min at 8500 rpm to remove the solid LiPF6. The centrifuged solution was transferred into a 2 mL GC glass vial and measured by <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=GCMS-QP2020+NX">GCMS-QP2020 NX</a>.<h5>Conclusion</h5>LiPF6 based LIB electrolyte degrade during chemical and electrochemical processes. With GC/MS based analysis method a clear assignment of tree fluorinated alkyl phosphates has been successfully accomplished in a long-term stored electrolyte showing the suitability of GCMS-QP 2020 NX to offer a reliable and simple way of analysis even at early stages of electrolyte decomposition.<h4>3. Thermo Fisher Scientific: Enhanced calibration precision: Leveraging RSE and WLS for optimal function optimization</h4><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/TN_003551_Enhanced_calibration_precision_Leveraging_RSE_and_WLS_for_optimal_function_optimization_184ab5a2c1.pdf">Full PDF for download</a></li></ul>This technical note outlines the advantages of employing relative standard error (RSE), weighted least squares (WLS) approximations, and inverse calibrations in enhancing the accuracy and precision of calibration in chromatographic analysis. It discusses the shortcomings of conventional metrics and introduces a more dependable and straightforward method for evaluating and optimizing calibration processes.<h5>Software</h5>Data evaluation was performed using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=2&amp;search=chromeleon">Thermo Scientific™ Chromeleon™</a> Chromatography Data System (CDS) version 7.3.2. The software's RSE definition (Equation 4) includes weighting factors, expanding its use to calibration functions that must pass through the origin.5<h5>Results and Discussion</h5>We included a gas chromatographic (GC) example to demonstrate the universal applicability of RSE in evaluating chromatographic calibration experiments. Figure 7 shows the separation of ethanol, which takes about 40 seconds after a headspace injection. The calibrated concentration range spans from 100 mg/L to 5,000 mg/L, the broadest range in our examples.&nbsp;We subjected the original method to RSE evaluation using OLS that constrained the calibration function to pass through the origin (Figure 7A). The RSE obtained was 7.6%, which is well within the EPA guideline of less than 20%. However, the relative amount deviation plot in Figure 7A showed increasing deviation at lower standard concentrations.&nbsp;The original calibration data set was re-analyzed using WLS with a quadratic fit and 1/Amount² weighting to enhance precision. This adjustment reduced the RSE to approximately 0.7%. It produced a relative amount deviation plot in Figure 7B that displayed minor deviations and a random scatter around the target value of 0% across the calibrated range. This demonstrates the improved accuracy and reliability of the optimized calibration method.<h5>Conclusion</h5>This technical note explores the advantages of using RSE, WLS approximations, and inverted calibrations to enhance calibration quality in chromatography. By optimizing calibration curves through quadratic fitting, offset adjustments, and suitable weighting factors (such as 1/Amount²), the calibration process can be significantly improved, resulting in lower RSEs and better overall calibration quality. Incorporating RSE as an evaluation tool offers a deeper understanding of calibration reliability.

News from LabRulezGCMS Library - Week 7, 2025

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 10th February 2025? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you applications by Shimadzu, Agilent Technologies and Thermo Fisher Scientific!<h4>1. Shimadzu: Analyzing Various Plastics</h4>Benefits of Bundled KnowItAll® Software<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00824_en_3f3cdee3b3.pdf">Full PDF for download</a></li></ul>This article describes using John Wiley &amp; Sons, Inc. <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?search=KnowItAll">KnowItAll software </a>for plastic analysis. KnowItAll has an extensive library for a wide variety of data analysis, such as searching for multiple components to identify and determine the percentage of chemical components contained in plastics or identifying functional groups attributable to specific spectral peaks (partial structural analysis). Furthermore, KnowItAll is bundled with Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=LabSolutions">LabSolutions IR software</a> for <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=FTIR">FTIR analysis</a> and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=AMsolution">AMsolution</a> infrared microscope software. Clicking the [KnowItAll] button in the Shimadzu software automatically sends the active spectral data to the KnowItAll software, ensuring quick analysis.<h5>Conclusion</h5>An FTIR system in combination with a single-reflection <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=ATR">ATR accessory</a> can measure a variety of plastics. However, the analyst must be able to judge whether the software data analysis results are correct, which requires significant amounts of knowledge and experience. But with KnowItAll bundle described in this article, functional groups of specific peaks or multiple components can be easily analyzed, providing an effective way to improve the accuracy of data analysis.<h4>2. Shimadzu: Speciation Analysis of Chromium by LC-ICP-MS Based on ISO 24384</h4><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00809_en_13bfd5870a.pdf">Full PDF for download</a></li></ul>User Benefits:<ul><li>Enables Cr(III) and Cr(VI) to be measured simultaneously in accordance with ISO 24384.</li><li>Suffers less interference from coexisting substances than the conventional method for measuring Cr(VI) and can be analyzed with a simple pretreatment.</li><li>Easy to connect instruments simply by attaching the LC column outlet piping to the ICP-MS nebulizer.</li></ul>In this method, Cr(III) is chelated using 2,6-pyridinedicarboxylic acid (PDCA) or ethylenediaminetetraacetic acid (EDTA) and then separated and quantified by <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=LC-ICP-MS">LC-ICP-MS</a>. This method is less prone to interference, is simple to use , and allows simultaneous determination of Cr(III) and Cr(VI). In this application, EDTA was used as a chelating agent, and the results of performing chromium speciation using a Prominence Inert Analysis System connected to an <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=ICPMS-2050">ICPMS-2050</a> are reported.<h5>Conclusion</h5>The measurement sensitivity and resolution were good, and the spike recovery rate for each sample met the criteria required by ISO 24384 well. The LC-ICP-MS method can simultaneously quantify Cr(III) and Cr(VI) using only simple pretreatment and is less prone to the effects of coexisting substances than the conventional method. The LC-ICP-MS analysis system is easily constructed by simply attaching the LC column outlet piping to the ICP-MS nebulizer. This analysis was performed on an ICPMS-2050 equipped with a collision/reaction cell, but it can also be performed on the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=ICPMS-2040">ICPMS-2040</a>, a model dedicated to the collision mode.<h4>3. Agilent Technologies: Elemental Analysis of Lithium-Ion Battery Black Mass Recycling Material by ICP-OES&nbsp;</h4>Enhancing instrument robustness for the analysis of high-TDS samples using an inert Agilent V-groove nebulizer<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_battery_black_mass_recycling_icp_oes_5994_8064en_agilent_1_09aa5f70f0.pdf">Full PDF for download</a></li></ul>This study highlights the effectiveness of the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=1&amp;search=5900+svdv">Agilent 5900 SVDV ICP-OES</a>, equipped with the Agilent inert V-groove nebulizer, for the multi-element analysis of acid-digests of black mass (BM) samples. This new nebulizer enables routine analysis of unfiltered samples with up to 30% total dissolved solids and suspended particles of up to 350 μm in size. The system demonstrated an outstanding long-term stability over 16 hours and excellent spike recoveries. Additionally, the V-groove nebulizer operated without blockages for over three weeks, reducing maintenance requirements while ensuring high accuracy and precision. This method offers BM producers a reliable solution for directly analyzing key analytes in unfiltered sample digests, supporting efforts to recover valuable metals from spent lithium-ion batteries.<h5>Conclusion</h5>This study shows the suitability of the Agilent 5900 SVDV ICP-OES equipped with the Agilent inert V-groove nebulizer for the multi-element analysis of unfiltered acid-digests of black mass (BM) samples. The robust nebulizer is recommended for the routine analysis of samples with up to 30% total dissolved solids (TDS) and particle sizes less than 350 µm. Excellent long-term stability was demonstrated when samples were analyzed over 16 hours. Measurements of the QC solution were within ± 10% of the expected value, with precision better than 5% RSD. The spike recoveries were well within ± 10% of the spiked concentration at both low and high concentration levels, confirming the accuracy of the method for the detection of a wide range of elemental concentrations in a single analysis. The V-groove nebulizer enabled the samples to be run for more than three weeks without any blockages, while maintaining a high level of accuracy and reducing the frequency of torch and nebulizer maintenance. With an increased focus on recovering valuable metals from spent lithium-ion batteries, BM producers can confidently analyze key analytes in unfiltered sample digests directly using the V-groove nebulizer to enhance the robustness of the 5900 ICP-OES.<h4>4. Thermo Fisher Scientific: Supporting development and production with elemental analysis in life sciences and beyond</h4><ul><li>Case study</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/cs_003219_tea_icp_ms_icap_mx_series_merck_cs003219_na_en_8e346da1d8.pdf">Full PDF for download</a></li></ul>The central analytics laboratory at Merck KGaA in Darmstadt, Germany, provides elemental analysis services to researchers and production units across the global Merck Group. Led by Dr. Sven Traxel, the Element Analytics group operates ten ICP-MS instruments to handle approximately 3,000 analysis requests annually, supporting development and troubleshooting in various fields. Their work encompasses a diverse range of sample matrices, including pharmaceuticals, life sciences products, liquid crystals, OLEDs, semiconductor materials, specialty chemicals, and pigments. Sample preparation methods vary from microwave-assisted digestions to open vessel digestions using different acids, with analyses often conducted overnight for efficiency. The team has been assessing the Thermo Scientific™ <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=2&amp;search=iCAP+MSX+ICP-MS">iCAP™ MSX ICP-MS</a> for its suitability in their analyses.ICP-MS expert Niklas Brenner, responsible for developing and adapting measurement methods, has extensive experience with various instruments, including the Thermo Scientific™ iCAP™ Q ICP-MS. He notes that the iCAP MSX ICP-MS delivers performance comparable to other instruments in their laboratory. A significant advantage is the Argon Gas Dilution (AGD) feature, which reduces matrix effects and allows for a higher number of samples to be run before maintenance is required. Brenner reports analyzing nearly 1,500 samples with consistent performance since installation. While AGD slightly reduces system sensitivity, it does not compromise the laboratory's ability to achieve required detection limits. Routine maintenance, such as cleaning the cones, typically necessitates 2–3 hours of downtime weekly, but the iCAP MSX ICP-MS's design helps minimize this, enhancing overall laboratory efficiency.

News from LabRulezICPMS Library - Week 7, 2025

News from LabRulezLCMS Library - Week 7, 2025

This study investigates the thermal stability of polar compounds in crude oils using ultra-high-resolution FT–MS with electrospray ionization (ESI). By monitoring the MS profiles of 14 key compounds subjected to micropyrolysis at temperatures up to 500 °C, we aim to better understand their thermal behavior.A new "MS ratio" is introduced, based on ion abundance changes during thermal modification, and is compared to established GC–MS diagnostic ratios. The results demonstrate a correlation between the proposed MS ratio and classical thermal evolution indicators, providing a new approach for assessing crude oil maturity.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.energyfuels.4c03496">Exploratory Analysis of Crude Oil Thermal Evolution by Ultra-High-Resolution Mass Spectrometry</a></h4>Arquimedes M. S. Coutinho, Marília Gabriela A. Pereira, Pedro G. C. Lucena, Jhonnatas de C. Carregosa, Wenes R. da Silva, Danielle M. M. Franco, Gesiane da S. Lima, Boniek G. Vaz, Alberto Wisniewski and Jandyson M. SantosEnergy Fuels 2024, 38, 22, 21932–21940<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.energyfuels.4c03496">https://doi.org/10.1021/acs.energyfuels.4c03496</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>The chemical characterization of oils can be performed on the basis of the identification of biomarkers, which are compounds that allow inferences to be made concerning the geochemical features of oils, such as the type of original organic matter, the degree of thermal evolution, and the environmental origin. <a href="javascript:void(0);" aria-label="reference 3">(3)</a> Gas chromatography coupled with mass spectrometry (GC–MS) is the most common analytical technique used to identify biomarkers, enabling the calculation of diagnostic ratios to infer the degree of thermal evolution of the oil. <a href="javascript:void(0);" aria-label="reference 2 and 3">(2,3)</a> Additionally, the use of gas chromatography with flame ionization detection (GC–FID) is notable for its versatility and excellent response to hydrocarbons. Another valuable technique is comprehensive two-dimensional gas chromatography (GC × GC), which serves as an important tool for addressing coelution problems, a phenomenon commonly observed in the chromatographic analysis of oils. <a href="javascript:void(0);" aria-label="reference 4 and 5">(4,5)</a> The thermal evolution of an oil is a geochemical parameter that is related to its thermodynamic stability and depends upon the thermal stages in which it was formed as well as the temperature levels of its formation process. <a href="javascript:void(0);" aria-label="reference 2">(2)</a> The biomarker ratios most commonly used to evaluate thermal evolution are Ts/Tm, Ts/(Ts + Tm), and C32S/(S + R). <a href="javascript:void(0);" aria-label="reference 2 and 6 to 8">(2,6−8)</a> The compound 18α-22,28,30-trisnorneohopane (Ts) is more stable than 17α-22,29,30-trisnorhopane (Tm) at high temperatures; therefore, the Ts/Tm and Ts/(Ts + Tm) ratios increase with increasing degree of thermal evolution. <a href="javascript:void(0);" aria-label="reference 2 and 9">(2,9)</a> The same behavior occurs for the C32S/(S + R) ratio based on the ratio between the 17α(H),21β(H)-homohopane C32H56 isomers, involving conversion of the 22R isomer in the mixture of R and S isomers. <a href="javascript:void(0);" aria-label="reference 2 and 7">(2,7)</a>The thermal behavior of oils can be evaluated by pyrolysis, where thermal decomposition reactions of the material occur in an inert environment, with the resulting compounds being characterized and related to the original molecule. <a href="javascript:void(0);" aria-label="reference 10">(10)</a>Gas chromatography–mass spectrometry (GC–MS) is widely recognized as a fundamental technique for the analysis of hydrocarbon biomarkers of petroleum. Its significance is particularly evident in the separation of isomeric biomarkers, such as the previously mentioned Ts and Tm, allowing the determination of diagnostic ratios with high potential for inferring petroleum geochemical information. <a href="javascript:void(0);" aria-label="reference 11 and 12">(11,12)</a> Alternatively, ultra-high-resolution Fourier transform mass spectrometry (FT–MS) allows analysis to be performed by direct infusion of a simple oil solution into an electrospray ionization (ESI) source coupled to a mass analyzer, such as ion cyclotron resonance (ICR MS) or Orbitrap (Orbitrap MS) devices, enabling the detection and identification of thousands of components, in a single analysis and within only a few minutes. <a href="javascript:void(0);" aria-label="reference 3, 10 and 13 to 15">(3,10,13−15)</a>The main aim of this study was to evaluate the presence of typical compounds of the polar fraction of crude oils and to correlate them with data from micropyrolysis (Py) experiments, enabling the identification of potential biomarkers for use in geochemical thermal evolution diagnostics. The alternative analytical tool developed here is simpler and faster when compared to the classical biomarker ratios determined using GC–MS.<h3>Experimental</h3><h4>Analytical Micropyrolysis (Py)</h4>The 14 standard compounds described in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.energyfuels.4c03496/suppl_file/ef4c03496_si_001.pdf">Figure S1</a> of the Supporting Information were submitted to Py, according to the methodology of Maciel et al. <a href="javascript:void(0);" aria-label="reference 16">(16)</a> A 10 mg portion of each compound was inserted into a reactor tube with glass wool as an adsorbent material. The reactor tube was purged for 30 s with a 2 mL min–1 flow of N2, followed by heating to 500 °C in a Ni–Cr wire oven, resulting in a total reaction time of 3 min. The solvent used for final elution of the reactor tube contents was a methanol/toluene (1:1, v/v) mixture with a final volume of 1 mL. The solution obtained was analyzed by ESI(±) FT–MS.<h4>Ultra-High-Resolution Fourier Transform Mass Spectrometry (FT–MS)</h4>The FT–MS analyses were performed using an Orbitrap mass spectrometer (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=2&amp;search=Exactive+Plus">Exactive Plus, Thermo Scientific, U.S.A</a>.). The standard compounds, their Py products, and the crude oils were prepared by dissolution to a final concentration of 1 mg mL–1 in a mixture of toluene/methanol (1:1, v/v). Formic acid was added in a proportion of 0.1% and ammonium hydroxide in a proportion of 0.4% as ionization promoters for ESI(+) and ESI(−) analyses, respectively. The samples were introduced by a direct infusion. The operating conditions were a flow rate of 5 μL min–1, capillary voltage at –3.2 kV in ESI(−) mode and +4.0 kV in ESI(+) mode, capillary temperature of 280 °C, and N2 as sheath, auxiliary, and spare gases at 5, 5, and 2 (arbitrary units), respectively.The acquisition and interpretation of mass spectra were performed using <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=2&amp;search=Xcalibur+2.0">Xcalibur 2.0 software</a> (Thermo Scientific, U.S.A.), in the m/z range of 100–1000, which in a total of 100 μscans were accumulated to obtain the final average mass spectrum. The software determined the exact mass, inferring molecular formulas, indicating the assignment error for each molecular formula, providing double bond equivalent (DBE) values, and the total abundance of ions that were used in the MS ratio proposed. Confirmation of peak attribution considered agreement between the experimental and theoretical m/z values together with the isotopic pattern.Sequential mass spectrometry analyses (MS/MS) were performed by FT-ICR MS (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=10&amp;search=solariX+9.4+T">solariX 9.4 T</a>, Bruker Daltonics, Germany), using ESI(−) ionization mode and a collision energy of 25 eV, for specific ions from the Py product of the 2,6-dimethyl-4-pyridinol standard compound. The ESI conditions of the FT ICR–MS/MS analysis were analogous to those described above for the Orbitrap FT–MS analyses.<h4>Analysis by GC-MS</h4>Crude oil samples (5 g) were fractionated into saturate, aromatic, resin, and asphaltene (SARA) compounds, according to the conditions of Santos et al. <a href="javascript:void(0);" aria-label="reference 17">(17)</a> Briefly, n-heptane (in the proportion of 30 mL/g of crude oil) was added to the crude oil sample, and the mixture was refluxed for 1 h. Subsequently, the mixture was cooled and stored in the dark overnight, resulting in precipitation of the asphaltenes. The maltene fractions soluble in n-heptane were separated using open-column chromatography (3 × 40 cm) after previously being adsorbed on activated neutral alumina (80–200 mesh, Brockmann I, Sigma-Aldrich, Steinheim, Germany). Cyclohexane was used to elute the saturated fraction, which was analyzed by GC–MS, using a gas chromatography/triple quadrupole mass spectrometry system (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=TQ8040">GCMS-TQ8040</a>, Shimadzu, Japan).GC–MS was operated in electron ionization (EI) mode, following the conditions of Carregosa et al. <a href="javascript:void(0);" aria-label="reference 18">(18)</a> Briefly, the chromatographic separation was performed with a SH-RTX5SilMS capillary column [crossbond 1,4-bis(dimethylsiloxy)phenylene dimethylpolysiloxane, 30 m × 0.25 mm inner diameter, 0.25 μm film thickness, Restek, U.S.A.]. A 1 μL volume of the solution was injected in the splitless mode. The injector temperature was 300 °C. The oven temperature was programmed from 70 to 325 °C, at 3 °C min–1, resulting in a total chromatographic run time of 85 min. Helium (99.995% purity) was used as the carrier gas at a constant flow rate of 1 mL min–1. The mass spectrometer ion source and interface temperatures were 280 and 290 °C, respectively. The collision gas was Ar (99% purity), and the collision energy was set at 12 eV.Multiple reaction monitoring (MRM) GC–MS analysis was performed to identify terpane and sterane compounds that could be employed as thermal evolution biomarkers. The m/z transitions monitored were m/z 370 &gt; 191, to calculate Ts/Tm and Ts/(Ts + Tm) ratios, and m/z 412 &gt; 191, to calculate C32S/(S + R) ratios.<h3>Results and Discussion</h3><h4>&nbsp;ESI(−) FT–MS of the Crude Oils</h4>The six crude oils analyzed by ESI(−) FT–MS presented a complex chemical mixture, with a wide range of polar compounds, as also described by Santos et al. <a href="javascript:void(0);" aria-label="reference 17">(17)</a> A representative MS spectrum is shown for the AL crude oil (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.energyfuels.4c03496#fig4" data-tab="pane-pcw-Figures" id="">Figure 4</a>a), with expansion to visualize the deprotonated ions of 2,6DPO (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.energyfuels.4c03496#fig4" data-tab="pane-pcw-Figures" id="">Figure 4</a>b) and 1DP (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.energyfuels.4c03496#fig4" data-tab="pane-pcw-Figures" id="">Figure 4</a>c), to highlight that only the standard compound and its 1DP product from Py were naturally present in the chemical composition of the oil.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Energy_Fuels_2024_38_22_21932_21940_Exploratory_Analysis_of_Crude_Oil_Thermal_Evolution_by_Ultra_High_Resolution_Mass_Spectrometry_Figure_4_832bae4e51.jpeg" alt="Energy Fuels 2024, 38, 22, 21932–21940 - Exploratory Analysis of Crude Oil Thermal Evolution by Ultra-High-Resolution Mass Spectrometry - Figure 4. ESI(−) FT–MS spectrum of (a) AL, with expansions at (b) m/z 121–123, highlighting 2,6DPO, and (c) m/z 241, highlighting 1DP." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Energy_Fuels_2024_38_22_21932_21940_Exploratory_Analysis_of_Crude_Oil_Thermal_Evolution_by_Ultra_High_Resolution_Mass_Spectrometry_Figure_4_832bae4e51.jpeg 99w," sizes="100vw" width="1600" height="2528">The ESI(−) FT–MS data for all of the crude oils are shown in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.energyfuels.4c03496/suppl_file/ef4c03496_si_001.pdf">Figures S2</a>–<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.energyfuels.4c03496/suppl_file/ef4c03496_si_001.pdf">S6</a> of the Supporting Information for the CA, PI, SE, O3, and O16 samples, respectively. The presence of ions corresponding to 2,6DPO and its 1DP product from Py was found for all of the crude oils analyzed. The m/z, molecular formula, DBE, and structures are summarized in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.energyfuels.4c03496#tbl2" data-id="tbl2">Table 2</a>.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Energy_Fuels_2024_38_22_21932_21940_Exploratory_Analysis_of_Crude_Oil_Thermal_Evolution_by_Ultra_High_Resolution_Mass_Spectrometry_Table_2_6367dc796b.jpg" alt="Energy Fuels 2024, 38, 22, 21932–21940 - Exploratory Analysis of Crude Oil Thermal Evolution by Ultra-High-Resolution Mass Spectrometry - Table 2. ESI(−) FT–MS Data for the Six Crude Oils Related to the 2,6DPO and 1DP Compounds" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Energy_Fuels_2024_38_22_21932_21940_Exploratory_Analysis_of_Crude_Oil_Thermal_Evolution_by_Ultra_High_Resolution_Mass_Spectrometry_Table_2_6367dc796b.jpg 176w," sizes="100vw" width="814" height="722">Both compounds were naturally present in all of the crude oils but in different abundances, reinforcing that a relation between the abundances of the ions could be explored in the geochemical context of thermal evolution.<h3>Conclusion</h3>The thermal behaviors of 14 typical petroleum compounds were evaluated on the basis of ESI(±) FT–MS analyses, to identify a potential geochemical biomarker of thermal evolution among the polar compounds present in the oils. It was found that pyrolysis of 2,6-dimethyl-pyridin-4-ol (2,6DPO) led to the formation of product ions, which were also observed in the FT–MS analyses of the crude oils. MS/MS analysis identified the main thermal product as 2,2-[(ethene-1,2-diyl)]bis(6-methylpyridin-4-ol), denoted 1DP. These ions were used in a proposed indicator, denoted the MS ratio, which could be used to evaluate the degree of thermal evolution of oils based on FT–MS analysis. The resulting MS ratio values were directly correlated with the values of classical diagnostic ratios [Ts/Tm, Ts/(Ts + Tm), and C32S/(S + R)], obtained by GC–MS, and showed the same order of thermal evolution for the six crude oils evaluated. Therefore, the MS ratio is a tool that can be used to infer the thermal evolution of oils, focusing on the polar compounds, as an alternative to the traditional methods based on GC–MS, with the advantages of simpler direct analysis and faster data acquisition. Furthermore, the MS ratio offers potential advancements in geochemical research by enhancing the tracking of polar molecules, which are often neglected in traditional biomarker analysis. This method has practical implications for geochemical studies, enabling rapid and accurate evaluations of oil maturity degrees.

Exploratory Analysis of Crude Oil Thermal Evolution by Ultra-High-Resolution Mass Spectrometry

In the week from February 17, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.<blockquote><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a>👉 Search and filter in the largest global database with over 4 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5 data-start="151" data-end="272">1. GERSTEL: Determination of PFAS in Various Sample Types, including Air, Water, and Food, Using GC-MS or LC-MS</h5><ul data-start="274" data-end="328"><li data-start="274" data-end="313">Tuesday, February 18, 2025, 20:00 CET</li><li data-start="314" data-end="328"><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/4734">Registration</a></li></ul>Are you looking for PFAS in air, water, or food samples? Discover how to automate analytical methods for PFAS determination, including ASTM D8591-24, EPA methods 533, 537.1, and 1633, and FDA method C-010.03.<h5 data-start="540" data-end="632">2. GERSTEL: Precise Results Within Seconds – The Future of MOSH/MOAH Data Analysis</h5><ul data-start="634" data-end="690"><li data-start="634" data-end="675">Wednesday, February 19, 2025, 10:00 CET</li><li data-start="676" data-end="690"><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/4641">Registration</a></li></ul>Discover the GERSTEL ChroMOH software, our powerful evaluation software for MOSH/MOAH data, in our informative webinar!<h5 data-start="813" data-end="928">3. New Food Magazine/Bruker: Enhancing Food Safety Labs with Rapid Detection of Salmonella, Listeria, and Moulds</h5><ul data-start="930" data-end="986"><li data-start="930" data-end="971">Wednesday, February 19, 2025, 16:00 CET</li><li data-start="972" data-end="986"><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/4723">Registration</a></li></ul>This webinar focuses on advanced methodologies for detecting microorganisms, including rapid techniques such as MALDI-TOF MS and FTIR-spectroscopy.<h5 data-start="1137" data-end="1194">4. Agilent Technologies: Molecular Spectroscopy</h5><ul data-start="1196" data-end="1251"><li data-start="1196" data-end="1236">Thursday, February 20, 2025, 04:00 CET</li><li data-start="1237" data-end="1251"><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/4673">Registration</a></li></ul>In this second session, we will talk about the analysis of microplastics in the environment and food.

Webinars LabRulezGCMS Week 8/2025

In the week of February 17, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.<blockquote><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a>👉 Search and filter in the largest global database with over&nbsp;4 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5 data-start="166" data-end="249">1. Thermo Fisher Scientific: Breakthroughs in Proteomics and Metabolomics</h5><ul data-start="251" data-end="305"><li data-start="251" data-end="290">Tuesday, February 18, 2025, 11:00 CET</li><li data-start="291" data-end="305"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4705">Registration</a></li></ul>The presentations on Orbitrap Astral highlight significant advancements in proteomics and metabolomics.<h5 data-start="412" data-end="500">2. Waters Corporation: New Andrew+ Pod - Protect Your Sample. Protect Yourself</h5><ul data-start="502" data-end="556"><li data-start="502" data-end="541">Tuesday, February 18, 2025, 16:00 CET</li><li data-start="542" data-end="556"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4764">Registration</a></li></ul>Waters is proud to introduce the Andrew+™ Pod, a dedicated enclosure for the Andrew+ Robot. Join us for an exclusive webinar unveiling this latest innovation from the Waters Lab Automation team.<h5 data-start="754" data-end="904">3. Thermo Fisher Scientific: Next-generation Workflows for Small Molecule Quantitation Using the Thermo Scientific Stellar Mass Spectrometer</h5><ul data-start="906" data-end="960"><li data-start="906" data-end="945">Tuesday, February 18, 2025, 17:00 CET</li><li data-start="946" data-end="960"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4735">Registration</a></li></ul>This live webinar will cover method development considerations for applied workflows such as toxicology research, implementing fast chromatography, and automated intelligent instrument control.<h5 data-start="1157" data-end="1241">4. Phenomenex: Insights on Column Selection for LC-MS/MS Clinical Research</h5><ul data-start="1243" data-end="1297"><li data-start="1243" data-end="1282">Tuesday, February 18, 2025, 19:00 CET</li><li data-start="1283" data-end="1297"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4733">Registration</a></li></ul>This webinar will provide insights on column selection for clinical research applications based on analyte properties, stationary phase characteristics, and instrumentation.<h5 data-start="1474" data-end="1595">5. GERSTEL: Determination of PFAS in Various Sample Types, Including Air, Water, and Food, Using GC-MS or LC-MS</h5><ul data-start="1597" data-end="1651"><li data-start="1597" data-end="1636">Tuesday, February 18, 2025, 20:00 CET</li><li data-start="1637" data-end="1651"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4734">Registration</a></li></ul>Are you looking for PFAS in air, water, or food samples? Discover how to automate analytical methods for PFAS determination, including ASTM D8591-24, EPA methods 533, 537.1, and 1633, and FDA method C-010.03.<h5 data-start="1863" data-end="1955">6. GERSTEL: Precise Results Within Seconds – The Future of MOSH/MOAH Data Analysis</h5><ul data-start="1957" data-end="2013"><li data-start="1957" data-end="1998">Wednesday, February 19, 2025, 10:00 CET</li><li data-start="1999" data-end="2013"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4641">Registration</a></li></ul>Discover the GERSTEL ChroMOH software, our powerful evaluation software for MOSH/MOAH data, in our informative webinar!<h5 data-start="2136" data-end="2278">7. Agilent Technologies: Analysis of Endocrine Disrupting Chemicals in Drinking Water by LC/MS According to Directive (EU) 2020/2184</h5><ul data-start="2280" data-end="2336"><li data-start="2280" data-end="2321">Wednesday, February 19, 2025, 14:00 CET</li><li data-start="2322" data-end="2336"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4710">Registration</a></li></ul>The advanced analytical techniques used for the identification and quantification of EDCs, with a focus on LC-MS to monitor and maintain a safe drinking water supply.<h5 data-start="2506" data-end="2621">8. New Food Magazine/Bruker: Enhancing Food Safety Labs with Rapid Detection of Salmonella, Listeria, and Moulds</h5><ul data-start="2623" data-end="2679"><li data-start="2623" data-end="2664">Wednesday, February 19, 2025, 16:00 CET</li><li data-start="2665" data-end="2679"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4723">Registration</a></li></ul>This webinar focuses on advanced methodologies for detecting microorganisms, including rapid techniques such as MALDI-TOF MS and FTIR-spectroscopy.<h5 data-start="2830" data-end="2887">9. C&amp;EN/ Agilent Technologies: Innovative LC/MS Techniques for Oligonucleotide Analysis Without Ion Pairing Reagents</h5><ul data-start="2889" data-end="2944"><li data-start="2889" data-end="2929">Wednesday, February 19, 2025, 18:00 CET</li><li data-start="2930" data-end="2944"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4722">Registration</a></li></ul>This webinar will delve into the limitations of traditional Ion Pairing Reversed Phase (IP-RP) chromatography together with HILIC as a promising alternative.<h5 data-start="2830" data-end="2887">10. Waters Corporation: Unlocking the Mysteries of Liquid Chromatography: Fundamentals of LC Systems</h5><ul data-start="2889" data-end="2944"><li data-start="2889" data-end="2929">Wednesday, February 19, 2025, 19:00 CET</li><li data-start="2930" data-end="2944"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4753">Registration</a></li></ul>This webinar is dedicated to unraveling the complexity of LC systems, focusing on their essential components and functions,<h5 data-start="205" data-end="302">11. Thermo Fisher Scientific: Optimizing AAV Analysis with 3 μm Monodisperse SEC Columns</h5><ul data-start="304" data-end="401"><li data-start="304" data-end="344">Thursday, February 20, 2025, 11:00 CET</li><li data-start="345" data-end="401"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4729">Registration</a></li></ul>This webinar will detail an effective approach for separating AAV monomeric capsids from high molecular weight species using an SEC column packed with 550 Å pore size, 3 μm monodisperse silica particles.<h5 data-start="608" data-end="729">12. Thermo Fisher Scientific: Cutting-Edge Innovations in Proteomics: Technologies, Techniques, and Applications</h5><ul data-start="731" data-end="828"><li data-start="731" data-end="771">Thursday, February 20, 2025, 11:00 CET</li><li data-start="772" data-end="828"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4706">Registration</a></li></ul>The presentations on Orbitrap Astral highlight significant advancements in proteomics and metabolomics.<h5 data-start="935" data-end="1041">13. Evosep Biosystems: Rapid, Robust, and Reproducible Host Cell Protein Analysis with Evosep One</h5><ul data-start="1043" data-end="1140"><li data-start="1043" data-end="1083">Thursday, February 20, 2025, 16:00 CET</li><li data-start="1084" data-end="1140"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4736">Registration</a></li></ul>Uncover the power of precision in biopharmaceutical development with our upcoming webinar on Host Cell Protein (HCP) analysis.<h5 data-start="1270" data-end="1325">14. Waters Corporation: Multi-Attribute Method</h5><ul data-start="1327" data-end="1424"><li data-start="1327" data-end="1367">Thursday, February 20, 2025, 19:00 CET</li><li data-start="1368" data-end="1424"><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4670">Registration</a></li></ul>This webinar will provide an overview of the principles and practical guidance regarding the LC-MS-based peptide mapping approach of the Multi-Attribute Method (MAM) for therapeutic proteins as described in USP General Chapter &lt;1060&gt;.

Webinars LabRulezLCMS Week 8/2025

In the week from February 17, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry<blockquote><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a>👉 Search and filter in the largest global database with over 4 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5 data-start="514" data-end="566">1. Anton Paar: Advanced Scratch Techniques</h5><ul data-start="568" data-end="622"><li data-start="568" data-end="607">Tuesday, February 18, 2025, 20:00 CET</li><li data-start="608" data-end="622"><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4451">Registration</a></li></ul>In this webinar of our Scratch Series, we introduce advanced quantitative techniques to deepen your understanding of material behavior under scratch testing.<h5 data-start="783" data-end="898">2. New Food Magazine/Bruker: Enhancing Food Safety Labs with Rapid Detection of Salmonella, Listeria, and Moulds</h5><ul data-start="900" data-end="956"><li data-start="900" data-end="941">Wednesday, February 19, 2025, 16:00 CET</li><li data-start="942" data-end="956"><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4723">Registration</a></li></ul>This webinar focuses on advanced methodologies for detecting microorganisms, including rapid techniques such as MALDI-TOF MS and FTIR-spectroscopy.<h5 data-start="1107" data-end="1164">3. Agilent Technologies: Molecular Spectroscopy</h5><ul data-start="1166" data-end="1221"><li data-start="1166" data-end="1206">Thursday, February 20, 2025, 04:00 CET</li><li data-start="1207" data-end="1221"><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4673">Registration</a></li></ul>In this second session, we will talk about the analysis of microplastics in the environment and food.<h5 data-start="1326" data-end="1490">4. Separation Science/Agilent Technologies: Eco-Friendly Extraction Methods for Lithium-Ion Battery Recycling and Elemental Analysis of Impurities in Recovered Metal Sulphates</h5><ul data-start="1492" data-end="1547"><li data-start="1492" data-end="1532">Thursday, February 20, 2025, 11:00 CET</li><li data-start="1533" data-end="1547"><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4708">Registration</a></li></ul>Join us for an insightful webinar on sustainable lithium-ion battery recycling! Discover greener solvents and learn how ICP-OES seamlessly handles alternatives to traditional inorganic solutions.<h5 data-start="1746" data-end="1852">5. Agilent Technologies: Tips and Tricks on ICP-OES for Best Detection Limits and Less Carryover</h5><ul data-start="1854" data-end="1909"><li data-start="1854" data-end="1894">Thursday, February 20, 2025, 19:00 CET</li><li data-start="1895" data-end="1909"><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/3162">Registration</a></li></ul>Learn all the tips and tricks and select proper components of an ICP-OES sample introduction system to optimize your data quality.

Webinars LabRulezICPMS Week 8/2025

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LabRulez

LECO Separation Science Workshop

Thermo Fisher Scientific at SOFT/TIAFT 2026

Bruker at SOFT-TIAFT 2026

The Next Frontier in Nitrosamines Testing: Detection and Risk Assessment in Packaging and IV Infusion Bags

From Cleared Tissue to Quantitative 3D Insights: Integrated Bruker and Translucence Biosystems Workflows for Whole-Organ Imaging

Membrane Technologies for Water and Food Sustainability