<p><strong>In today’s digital age, the sheer number of solutions available at our fingertips can be overwhelming. A simple search can yield countless results, making it difficult to determine which option truly meets our needs. If you’re a synthetic, organic, medicinal, process, or analytical chemist – or a lab manager or IT/data scientist – working in the pharmaceutical, biotech, or chemical industries, we hope this article will clarify the value and relevance of </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1085"><strong>Chrom Reaction Optimization</strong></a><strong> (Chrom RO) for your specific requirements.</strong></p><h4><strong>Chrom RO Empowering Development (Scale-up) Stages</strong></h4><p>Do you work in reaction scale up? Are you optimizing conditions, comparing dozens of reaction variables? If so, <strong>Chrom RO is built for you.</strong></p><p>Imagine turning weeks of data crunching into just a few hours or days. Chrom RO is designed to be a game-changer in the development stages of the value chain. By tracking and quantifying a defined set of compounds in a reaction run in parallel under different conditions to employ. This not only accelerates the development process but also ensures that the most effective and efficient methods are identified and utilized for scale-up.</p><h4><strong>Chrom RO Value in Discovery</strong></h4><p>During the discovery phases, scientists may encounter reaction optimization while exploring pathways, understanding mechanisms, or conducting impurity profiling. Chrom RO is valuable in these processes, provided they involve studying the same reaction run in parallel under different conditions. When dealing with different reactions, such as parallel synthesis or library screening, customization through scripting is required. If you need assistance with this, please <a target="_blank" rel="noopener noreferrer" href="https://mestrelab.com/contact"><strong>contact our team of experts</strong></a>.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Sci_Y_Figure_1_Chrom_RO_is_ideal_for_scale_up_and_early_stage_investigations_210f1637b0.jpg" alt="SciY: Figure 1. Chrom RO is ideal for scale-up and early-stage investigations." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Sci_Y_Figure_1_Chrom_RO_is_ideal_for_scale_up_and_early_stage_investigations_210f1637b0.jpg 234w," sizes="100vw" width="1800" height="1200"></p><h4><strong>Handling Large Volumes of Data</strong></h4><p>One of the standout features of Chrom RO is its ability to handle large chromatographic datasets seamlessly. So, if you regularly perform reaction optimizations and manage high volumes of analytical data, this solution will definitely change the way you tackle your work.</p><p>Gone are days of tedious manual processing for each sample. Chrom RO automates routine data processing, eliminating human errors such as transcription mistakes and number typos. This leads to better data quality and allows chemists to focus on what they do best – innovating and making informed decisions.</p><h4><strong>A Must-Have for Automated Reaction Optimization Settings</strong></h4><p>The integration of lab robotics into chemical synthesis has enabled rapid, closed-loop optimization with minimal human intervention. For users with automated reaction optimization, Chrom RO is essential. It automates data processing and analysis, providing results in dashboards for quick decision-making. This makes Chrom RO a powerful tool in the chemist’s arsenal.</p><h4><strong>Is Chrom RO Compatible with My Data Formats as Needs?</strong></h4><p>Chrom RO is compatible with any data format supported by Mnova. You can find a full list of these <a target="_blank" rel="noopener noreferrer" href="https://mestrelab.com/articles/ms-supported-formats.html"><strong>supported formats here</strong></a>. Below, we highlight the key features and capabilities of Chrom RO to help you assess how it aligns with your specific requirements:</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Sci_Y_Figure_2_A_complete_and_flexible_framework_for_reaction_monitoring_analysis_and_data_management_9180bce0a5.jpg" alt="SciY: Figure 2. A complete and flexible framework for reaction monitoring, analysis, and data management." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Sci_Y_Figure_2_A_complete_and_flexible_framework_for_reaction_monitoring_analysis_and_data_management_9180bce0a5.jpg 234w," sizes="100vw" width="1800" height="1200"></p><p>And finally, it is critical to know that <strong>Chrom RO</strong> is so flexible that it allows you to <strong>script what to do with the output</strong>, enabling <strong>seamless integration with other software</strong> you may be using in your lab. This ensures that you can leverage the full potential of Chrom RO without disrupting your existing workflows. <strong>Output</strong> can be saved to your <strong>local folders, SQL and NoSQL databases</strong>, or even <strong>Electronic Lab Notebooks</strong> <strong>(ELNs)</strong> or <strong>Laboratory Information Management Systems (LIMS)</strong>. These outputs can then be utilized by <strong>Business Intelligence (BI) </strong>and <strong>Artificial Intelligence (AI)</strong> tools, further enhancing your data analysis and decision-making processes.</p>

Is Chrom Reaction Optimization for me?

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 13th October 2025? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you posters by <strong>Shimadzu / AOAC</strong> and <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. Shimadzu / AOAC: Determination of Toxic Elements in Chilli Powder using Shimadzu ICPMS-2050</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/aoac_2025_m026_c76104ed94.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Spices, particularly red chillies, are essential and integral part of cuisines, offering not only distinctive flavour and aroma but also provides nutritional and preservative benefits. However, the growing concern of heavy metal contamination in chillies presents a significant threat to food safety, public health, and international trade. Effective monitoring and stringent quality control are essential to safeguard consumer well-being and maintain economic stability.</p><p>This study details a precise ICPMS method with <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=ICPMS-2050"><strong>ICPMS-2050</strong></a> for quantifying toxic elements in chilli powder, developed in strict adherence to Food Safety and Standards Authority of India (FSSAI)1 regulations. The complex matrix of chilli powder presents significant analytical challenges for the accurate and efficient recovery of trace heavy metal elements. The presence of diverse organic compounds and high oil content can interfere with standard digestion procedures, leading to suboptimal extraction efficiencies and compromised analytical recovery of critical elements such as lead, cadmium and arsenic.</p><h4><strong>Results&nbsp;</strong></h4><p>Quantitation results for As, Cd, Hg &amp; Pb in chilli samples found to be BLOQ. Validation parameters like linearity, recovery and precision were studied to establish LOQs. This method successfully achieved LOQ of 0.250 ppm in sample. The summary results and system stability are shown in Table 4, 5, 6, 7 &amp; 8 respectively. As per FSSAI guideline. BLOQ – Below limit of quantitation, LOQ – Limit of quantitation&nbsp;</p><h5><strong>Linearity&nbsp;</strong></h5><p>NIST traceable calibration standards were used for linearity study and quantification of spiked samples. Six level calibrations curve was plotted for 0.5, 1.0, 2.5, 5.0, 10 &amp; 20 ppb concentration levels. For all calibration standards accuracy was found within 80 to 120 % range.&nbsp;</p><h5><strong>Recovery&nbsp;</strong></h5><p>Recovery was studied at 0.250 ppm spiked samples against calibration curve. Six preparations for each brand of samples were prepared. Mean recoveries were found to be within 80 -120 % at LOQ level (Refer Table 5).</p><h5><strong>Precision&nbsp;</strong></h5><p>For precision, repeatability and within-laboratory reproducibility studies were carried out. RSDr : The % RSD for 3 replicates of each sample aspiration at LOQ (0.250 ppm) levels was found to be less than 20 % (Refer Table 6). RSDR : Reproducibility experiment for recoveries was performed on 6 different spiked samples at 0.250 ppm concentration levels. The % RSD of 6 spiked samples at their respective LOQ level was found to be less than 10 % (Refer Table 7).&nbsp;</p><h4><strong>Conclusion</strong></h4><ul><li>This study demonstrates that the Shimadzu ICPMS system is a reliable and effective instrument for quantifying toxic elements in chilli powder samples.</li><li>Because of the complex nature of chilli powder, higher dilution factor needed to be applied in conjunction with Shimadzu<span>’</span>s Octa-plate Collision Cell technology to minimizes spectral interferences for achieving lower LOQs.</li><li>The Shimadzu ICPMS enables trace-level detection in samples, contributing to enhanced method ruggedness and ensuring consistent, reproducible analyte detection.</li><li>The combination of a highly sensitive instrument and a robust analytical method makes it wellsuited for use in testing laboratories for the analysis of toxic elements in chilli powder.</li></ul><h3><strong>2. Thermo Fisher Scientific: High sensitivity tin speciation using a new GC interface with Sector Field High Resolution ICP-MS</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_43431_EWCPS_2017_high_sensitivity_tin_speciation_hr_icp_ms_gc_interface_po43431_en_ef893ded0e.pdf"><strong>Full PDF for download</strong></a></li><li>Often the total elemental concentration of an analyte is not sufficient to accurately assess its impact on the environment or human health.&nbsp;</li><li>That is because toxicity and mobility are dependent on the species of the analyte.&nbsp;</li><li>Tin, for example, can be found in a variety of molecules, each with different degrees of toxicity and persistence.&nbsp;</li><li>Tributyltin (TBT) is widespread in the environment due to its mobile and persistent nature.&nbsp;</li><li>As TBT is toxic at very low concentrations, there are strict legislative limits (e.g. the European Water Framework Directive)</li></ul><h4><strong>MATERIALS AND METHODS&nbsp;</strong></h4><p>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1670"><strong>Thermo Scientific™ ELEMENT XR™ HR-ICP-MS</strong></a> and the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/3"><strong>Thermo Scientific™ TRACE™ 1310 GC</strong></a> were coupled with the Thermo Scientific™ GCI 200 Interface.</p><h4><strong>CONCLUSIONS&nbsp;</strong></h4><ul><li>Because of the high acceleration voltage of Sector Field ICP-MS this technique is extremely sensitive.&nbsp;</li><li>In combination with its low backgrounds, this leads to the low detection limits required for sensitive tin speciation analysis.&nbsp;</li><li>The stable temperature profile and the absence of cold spots avoids condensation and peak broadening.&nbsp;</li><li>Minimal tailing on high boiling compounds.&nbsp;</li><li>Minimal memory and carryover effects.&nbsp;</li><li>By means of the flexible and light design of the heated transfer line, the ICP-MS torch position can be easily tuned.</li></ul>

News from LabRulezICPMS Library - Week 42, 2025

<h4><strong>Matrix certified reference material of green tea METRANAL® CRM AN-BM02</strong></h4><p>Certified reference material of Chinese green tea AN-BM02&nbsp;</p><h5><strong>Packing:&nbsp;</strong></h5><p>30 g of powder of the green tea with a particle size of less than 200 µm in amber glass bottle.&nbsp;</p><h5><strong>Intended use:&nbsp;</strong></h5><p>This certified reference material is intended primarily for use in realizing metrological traceability, validation of analytical methods and the transfer of property values by total element contents to other materials of similar composition.&nbsp;</p><h5><strong>Recommended analytical methods for method dependent measurements:</strong></h5><p>Flame AAS, ICP-OES, ICP-MS, AMA&nbsp;</p><h5><strong>Specification:&nbsp;</strong></h5><ul><li><strong>The date of production:</strong> May 2022&nbsp;</li><li><strong>Shelf life:</strong> 5 years from the date of production&nbsp;</li></ul><h5><strong>Metrological traceability:&nbsp;</strong></h5><p>Metrological traceability is realized by using certified calibration standards solutions for the calibration of measurement methods used (direct traceability to SI unit) and/or by simultaneous analysis of a matrix CRM (RM) of similar composition.&nbsp;</p><h5><strong>Homogeneity and stability:&nbsp;</strong></h5><p>Homogeneity and short term stability has been demonstrated according to the ISO GUIDE 35. This CRM will be monitored for over the period of its validity.</p><h5><strong>Storing and instruction for use:&nbsp;</strong></h5><p>This CRM have to be stored in original bottle and between 5-30°C (in a dark and dry place). The material should be analysed in the "as received" state and their dry weight should be determined on non-analysed aliquots oven-dried at 105°C till the constant weight. The material in the bottle must be rehomogenized before each use by mechanical shaking of the content for 1-2 minutes. The bottle should be opened a minimum of 2 minutes after rehomogenization in order to prevent an escape of fine powder particles from the bottle into the environment and their sedimentation.&nbsp;</p><h5><strong>Certified and indicative values and their uncertainties:&nbsp;</strong></h5><p>The certified and indicative values of total element contents are summarized in Table 1. The overall means evaluated have been given a status of certified and indicative values using the following criteria: data should be available from at least two independent analytical methods, at least 5 and 3 accepted laboratory means should be available for calculation of the overall mean for certified and indicative value, respectively. At combined uncertainties presented, the contribution of uncertainty of characterization of a particular property value is dominant.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ANALYTIKA_Table_1_Certified_and_indicative_values_of_total_element_contents_and_their_associated_53a738dc33.jpg" alt="ANALYTIKA: Table 1 - Certified and indicative values of total element contents and their associated" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ANALYTIKA_Table_1_Certified_and_indicative_values_of_total_element_contents_and_their_associated_53a738dc33.jpg 88w," sizes="100vw" width="570" height="1015"></p><h5><strong>Note:</strong></h5><p>Detailed information about the production, homogeneity testing and characterization of this CRM are described in the Certification report, which is available on request.</p>

Matrix certified reference material of green tea METRANAL® CRM AN-BM02

<p><strong>In the week from October 20, 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>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Metrohm: Time is Money – How Digitalized Workflows Enhance Laboratory Efficiency</strong></h5><ul><li>Tu, 21.10.2025 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5624">Registration</a></li></ul><p>Learn how seamless integration of devices and software through 1LIMS and Metrohm saves time, increases efficiency, and transforms your lab into a connected digital ecosystem.</p><h5><strong>2. The Analytical Scientist: State-of-the-Art Sample Preparation – Innovation to Sustainability</strong></h5><ul><li>Tu, 21.10.2025 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5571">Registration</a></li></ul><p>Join a roundtable discussion on innovative and sustainable sample preparation tools, focusing on greener workflows and analytical efficiency.</p><h5><strong>3. Agilent Technologies: Intelligent Analysis of Wastewaters Using an Agilent ICP-MS with Integrated Autodilutor</strong></h5><ul><li>Tu, 21.10.2025 21:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4542">Registration</a></li></ul><p>Discover how integrated autodilution in Agilent ICP-MS simplifies wastewater analysis, boosts accuracy, and minimizes manual handling.</p><h5><strong>4. Bruker: Optical Tweezers – Advanced Applications in Biology and Materials Science</strong></h5><ul><li>We, 22.10.2025 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5596">Registration</a></li></ul><p>Explore nanoscale manipulation with Bruker’s NanoTracker 2 optical tweezers and learn their applications in biological and material sciences.</p><h5><strong>5. Thermo Fisher Scientific: Simple, Fast and Robust Analysis of Whole Blood, Serum and Urine Using ICP-MS</strong></h5><ul><li>Th, 23.10.2025 13:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4702">Registration</a></li></ul><p>Join a virtual demo of the Thermo Scientific iCAP MX Series ICP to see simplified workflows for elemental analysis in biological samples.</p><h5><strong>6. Evosep Biosystems: Deep Visual Proteomics</strong></h5><ul><li>Th, 23.10.2025 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5573">Registration</a></li></ul><p>See how imaging and LC-MS technologies merge to map protein expression patterns with unmatched precision and biological depth.</p><h5><strong>7. SPECTRO Analytical Instruments: iCAL 2.0 – Smart Standardization for Efficient and Reliable Metal Analysis</strong></h5><ul><li>Th, 23.10.2025 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5572">Registration</a></li></ul><p>Learn how patented iCAL 2.0 diagnostics revolutionizes standardization, ensuring consistent and efficient elemental metal analysis.</p><h5><strong>8. Agilent Technologies: A Discussion on Sample Preparation of Water Samples for Analysis of Microplastics</strong></h5><ul><li>Th, 23.10.2025 20:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/2365">Registration</a></li></ul><p>Discover Agilent’s turnkey approach for microplastics analysis using the 8700 LDIR, covering sample prep, identification, and data interpretation.</p><h5><strong>9. Anton Paar: From MPDS 5 to Edge &amp; L-Cor Mass Flow Sensor</strong></h5><ul><li>Fr, 24.10.2025 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5597">Registration</a></li></ul><p>Experience the new Edge Evaluation Unit and L-Cor sensor innovations from Anton Paar designed to enhance process control, precision, and efficiency.</p>

Webinars LabRulezICPMS Week 43/2025

<h4><strong>A New Release Supporting Evolving Analytical Workflows</strong></h4><p>SciY is pleased to announce the release of <strong>Mnova 16</strong>, the latest version of one of the most widely adopted analytical software platforms in the scientific community. Introduced at the end of May 2025, Mnova 16 delivers a focused set of enhancements that responds to the growing need for structured, interoperable, and automation-ready data workflows across scientific and industrial laboratories.</p><p>Among the most notable improvements are <strong>expanded Python scripting capabilities</strong> that offer greater flexibility for users to automate tasks and tailor Mnova to their specific workflows. Mnova 16 also brings <strong>native support for the Allotrope Simple Model (ASM)</strong>, allowing NMR data to be stored in a standardized, metadata-rich format, supporting data interoperability and compatibility with modern digital ecosystems.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Sci_Y_Mnova_16_launch_New_Tools_for_Data_Integration_Automation_and_User_Control_a8bc19ad79.jpg" alt="SciY: Mnova 16 launch - New Tools for Data Integration, Automation, and User Control" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Sci_Y_Mnova_16_launch_New_Tools_for_Data_Integration_Automation_and_User_Control_a8bc19ad79.jpg 245w," sizes="100vw" width="1280" height="720"></p><p>Additionally, Mnova 16 introduces a new <strong>Command Palette</strong>, enabling users to quickly access functions through a streamlined interface, improving usability and reducing time spent navigating menus. This release also includes updates to several key products — <strong>Mgears 2.7, Mnova Hub 1.1, Chrom Cal 1.1, and qNMR 3.3</strong> — to provide new functionalities, improve integration, and enhance user experience.</p><p>By delivering these targeted improvements, Mnova 16 helps users stay current with evolving standards and technologies, empowering them to innovate without limitations. For a detailed overview of the new features in Mnova 16, visit the <a target="_blank" rel="noopener noreferrer" href="https://mestrelab.com/resources-by-product/resources-mnova/top-features-in-mnova-16.html"><strong>Mnova 16 – Top Features web post</strong></a>.</p><h4><strong>Mnova as Part of SciY: Supporting Structured, Scalable Scientific Workflows</strong></h4><p>Now part of the SciY software offering, Mnova is increasingly aligned with a broader ecosystem of modular tools designed to support digitalization, automation, and AI readiness.</p><p>This closer collaboration within the SciY portfolio has led to new integrations, such as Mnova Hub now connecting Mnova with both ZONTAL and LOGS (introduced in the Mnova 16 release), facilitating structured and centralized data management that goes beyond data analysis. This ecosystem is key to enabling lab-wide digitalization, improved traceability, and readiness for AI-driven applications.</p><p>Through SciY, Mnova users can now access a growing set of interoperable tools, benefiting from improved compatibility, coordinated support, and faster innovation through shared development efforts.&nbsp;</p><blockquote><h5><strong>About SciY</strong></h5><p>SciY is the agnostic software division of Bruker, dedicated to advancing scientific software for digital transformation. SciY brings together a portfolio of modular, interoperable tools that support the entire analytical data lifecycle—from acquisition and processing to management, automation, and AI readiness. With a focus on open standards, vendor neutrality, and seamless integration, SciY empowers laboratories to modernize their operations and unlock the full value of their scientific data.</p></blockquote>

Mnova 16 launch - New Tools for Data Integration, Automation, and User Control

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 20th October 2025? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes <strong>Agilent Technologies</strong> and <strong>Shimadzu</strong> and poster by <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Optimizing Microplastic Characterization by LDIR: Automated versus Manual Workflows</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_microplastic_analysis_manual_8700_ldir_5994_8677en_agilent_e6976c74fd.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The Agilent <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR"><strong>8700 LDIR</strong></a> chemical imaging system with Agilent Clarity control software provides automated and manual workflows for the characterization of microplastics isolated from a wide range of matrices.&nbsp;</p><p>The Particle Analysis workflow is specially designed for routine testing, enabling fast, fully automated characterization of particles within a default size range of 20 to 500&nbsp;µm. This range can be adjusted based on user methodology and analytical requirements. Once a region of interest has been defined on the substrate and a spectral library has been selected in the software, the 8700 LDIR automatically detects particles, acquires infrared (IR) spectra, matches the spectra against the library, and updates results in real time.&nbsp;</p><p>The manual analysis workflow allows users to adjust parameters, acquire spectra, and collect high-magnification images of particles as small as a few micrometers, providing greater flexibility for method development and research applications.&nbsp;</p><p>This technical overview evaluates the performance of both types of workflow using NIST-traceable polystyrene (PS) latex beads of 2, 5, and 10&nbsp;µm diameter. Measurements were performed on both low-E slides and aluminum-coated (AI-coated) filters (0.8&nbsp;µm pore size) to assess the influence of the substrate background on the minimum measurable particle size.</p><h4><strong>Results and discussion&nbsp;</strong></h4><h5><strong>Manual workflow&nbsp;</strong></h5><ul><li><strong>2&nbsp;µm PS beads: </strong>High-magnification visible images were obtained for the 2&nbsp;µm PS beads on the low-E slide by focusing on individual particles and using the ruler feature in the Clarity software to measure the length (Table 2). IR images were generated at 1,442&nbsp;cm–1 with a pixel size resolution of 1&nbsp;µm, resolving the 2&nbsp;µm beads. Using the line profile feature and a reduced acquisition (sweep) speed, 20 spectra were acquired. The averaged spectrum (automatically obtained after data collection) was compared to reference spectra in the Microplastics Starter 2.1 library. The particle was correctly identified as polystyrene with a hit quality index (HQI) of 0.940. The 2&nbsp;µm particles were successfully detected and identified on low-E slides only. Background interference from the 0.8&nbsp;µm pores of the Al-coated filters prevented data collection from the 2&nbsp;µm particles.&nbsp;</li><li><strong>5&nbsp;µm PS beads:</strong> High-magnification visible and IR images were successfully obtained for the 5&nbsp;µm PS beads on both types of substrate. The spectra were collected in line profile mode using a faster data acquisition rate than for the smaller particles. The beads were accurately identified as PS with HQIs of 0.924 and 0.947 for the low-E slide and Al-filter, respectively (Table 2).&nbsp;</li><li><strong>10&nbsp;µm PS beads: </strong>The 10&nbsp;µm PS beads were easily imaged and identified on both substrates with improved HQIs of 0.972 for the low-E slide and 0.968 for the Al-coated filter (Table 2).</li></ul><h4><strong>Conclusion&nbsp;</strong></h4><p>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR"><strong>Agilent 8700 LDIR</strong></a> chemical imaging system is capable of analyzing microplastics as small as 2&nbsp;µm on a low-E slide using a manual workflow and 5&nbsp;µm and above using the automated Particle Analysis method. However, the automated workflow provided the most reliable identification and highest-confidence library matching results for particles ≥&nbsp;10&nbsp;µm. Together, the two workflows offer complementary capabilities—automation for the rapid, routine analysis of larger particles and manual control for smaller particle characterization and research applications.</p><h3><strong>2. Shimadzu: Quantitative Analysis of Leaching of Heavy Metals in Soil Using ICP-MS</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00892_en_5aeef239fe.pdf"><strong>Full PDF for download</strong></a></li></ul><p>When soil is polluted by human activities such as industrial operations and waste disposal, harmful substances can be absorbed into the human body. This may have an adverse effect on health. In Japan, the Soil Contamination Countermeasures Act stipulates soil survey methods and appropriate management methodsto prevent adverse health effects.&nbsp;</p><p>The health risks due to soil contamination can be divided into two categories: those caused by leaching of harmful substances contained in soil into groundwater and ingestion of groundwater containing such harmful substances (ingestion from groundwater), and those caused by direct ingestion of harmful substances contained in soil through the mouth or skin (direct ingestion). Under the Soil Contamination Countermeasures Act, soil leaching standards are set to address the risk of ingestion from groundwater, and soil content standards are set to address the risk of direct ingestion. These standards are expected to become stricter in the future in line with other environmental regulations. Thus, it is important to select a highly sensitive analytical method in advance.&nbsp;</p><p>In this application, the results of analyzing the concentrations of heavy metals leached from five types of soil samples using ICPMS, which is currently recognized as the most sensitive method for elemental analysis in soil, will be introduced.</p><h4><strong>Instrument Configurations and Analysis Conditions</strong></h4><ul><li><strong>Instrument:</strong> <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=ICPMS-2050"><strong>ICPMS-2050&nbsp;</strong></a></li><li><strong>Nebulizer: </strong>Nebulizer DC04</li></ul><h4><strong>Conclusion&nbsp;</strong></h4><p>Leaching analysis of heavy metals in soil was conducted using the ICPMS-2050. The measurement sensitivity of the system was sufficient to meet the soil leaching standard, and the spike recovery test showed that the influence of the matrix on this measurement was small. By adopting a unique mini-torch system, ICPMS-2050 can perform high-sensitivity and low-interference measurements at about 2/3 (about 11 L/min) of the argon gas flow rate of conventional ICP-MS. In addition, good results in a long-term stability test, where 50 samples were measured continuously, demonstrated its performance (high sensitivity, low interference) and cost savings, especially in the routine analysis of multiple samples.</p><h3><strong>3. Thermo Fisher Scientific: Hyphenation of a high-speed laser ablation system to Quadrupole Inductively Coupled Plasma Mass Spectrometry (ICP-MS) for imaging applications</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_001853_tea_laser_ablation_icp_ms_ewcps_po001853_em_en_2f84e2e8ea.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Laser Ablation (LA) coupled with ICP-MS is a well-established way to directly analyze solid samples. The main advantages of laser ablation include the ability to avoid lengthy and potentially contamination prone sample preparation protocols and the ability to obtain information about the spatial resolution of an analyte in a sample.&nbsp;</p><p>The interest in so-called mapping techniques has increased in recent years, calling for laser ablation systems to develop methods to improve sample transfer and therefore speed of mapping experiments. New laser-ablation systems dedicated to high-speed mapping are commercially available and can be easily coupled to quadrupole ICP-MS for such applications.</p><p>With the improvement in sample transfer and washout times from laser ablation systems, the time available to analyze discrete packets of sample from a laser pulse is drastically reduced. The limit for lateral resolution using a sequential ICP-MS, such as a quadrupole ICP-MS, is dependent on the dwell times chosen for each measured m/z channel. This has a direct impact on the signal-to-background ratio achievable for each m/z channel; therefore, a direct impact on the final image contrast for each mapped m/z channel.</p><h4><strong>Methods</strong></h4><p>An Elemental Scientific Lasers imageGEO193 Laser Ablation system fitted with a TwoVol3 Ablation chamber was directly coupled with a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1206"><strong>Thermo Scientific™ iCAP™ TQ ICP-MS</strong></a> using a compatible Dual Concentric Injector. Data was acquired using <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1489"><strong>Thermo Scientific™ Qtegra™ Intelligent Scientific Data Solution™ (ISDS) Software</strong></a> and processed using Iolite™ Laser Ablation Data Reduction Software.</p><h4><strong>Results and Discussions&nbsp;</strong></h4><h5><strong>Washout Measurement and Optimization&nbsp;</strong></h5><p>For low-dispersion laser ablation set-ups, it is vitally important to assess the washout performance and peak shape of the laser pulses to determine the maximum scanning rate that can be used for a particular number of m/z channels without introducing blurring effects. To do this, a low repetition rate line was ablated on the sample surface and a matrix element was measured at 1 ms dwell time (44Ca as 44Ca.16O in this case).</p><p>Aliasing occurs, in essence, if the repetition rate and the cycle time of the laser ablation system and the ICP-MS system are not properly synchronized. This phenomenon causes periodicity in signal intensities that appear as bands in the final image. To combat this, the laser repetition rate and the sampling cycle frequency need to be matched so that an integer number of laser pulses fall within one quadrupole sweep.<sup>1</sup>&nbsp;</p><p>Pixelation blur is mainly a factor of the resolution at which the image is gathered, i.e., the laser spot size and the resulting pixel size. 2 To achieve high resolution (low blur), a small spot size must be used; however, this will directly decrease the signal-tobackground ratio (i.e., contrast) and increase the total experiment time. The amount of acceptable blurring must therefore be balanced with the desired contrast and experiment time.</p><p>Smearing, or motion blur, occurs when the transfer of material (washout) cannot keep up with the tracking of the laser across the sample surface (i.e., the scanning rate of the translation stages) and subsequent laser pulses are partially mixed. This is mitigated by adjusting the laser scanning time and repetition rates so that each laser pulse is fully resolved from each other when reaching the detector of the ICP-MS.&nbsp;</p><p>Contrast, as discussed briefly above, is a function of signal-tobackground ratio and can be adjusted by the amount of material ablated per shot (spot size and/or fluence) or the dwell time of each scanned m/z channel during the quadrupole sweep. Given a set of lasing conditions, optimizing the distribution of dwell times between all m/z channels scanned will achieve the best possible contrast for all analytes in one run.&nbsp;</p><p>Optimization of the Dwell Times was performed using the Precognition Add-On from Iolite Software available for ActiveView2 Laser Ablation Software. First, signal intensity data for all desired isotopes were acquired using a simple line scan across a section of the sample surface with high perceived variability. The data were loaded into the Precognition module, which then optimized the dwell times to improve the Signal-toNoise ratio (SNR) for each scanned isotope. There are two methods available:&nbsp;</p><ol><li>The Hutchinson Method: Dwell times are distributed such that the SNR is increased to above 3 for all isotopes.&nbsp;</li><li>The Van Malderen Method: adjusts dwell times to improve SNR of isotopes whilst being constrained to the washout of the cell.&nbsp;</li></ol><p>The Hutchinson method may result in cycle times much longer than the pulse width of the signal, so in this study the Van Malderen method was chosen. Resulting dwell times are summarized in Table 2.</p><h4><strong>Conclusions&nbsp;</strong></h4><p>Through careful optimization of laser ablation and ICP-MS parameters, it is possible to generate high quality multi-elemental images at a fast rate. The use of new low-dispersion laser ablation cells and aerosol transfer technology is not limited to simultaneous mass spectrometers and is also applicable to sequential scanning mass spectrometers such as Quadrupole ICP-MS.&nbsp;</p><p>The major limitation of coupling low-dispersion Laser Ablation systems to sequential mass spectrometers is the limited number of elements that can be scanned; however, this is offset by the sensitivity and the specificity of, especially, triple quadrupole ICPMS systems for the reduction of interferences on select analytes.&nbsp;</p><p>Most imaging experiments can be reduced to three or four analytes of interest, and in these cases LA-ICP-MS coupled to Triple Quadrupole ICP-MS using a low-dispersion, fast imaging setup can provide the analytical data quality required to answer challenging research questions.</p>

News from LabRulezICPMS Library - Week 43, 2025

<p><strong>In the week from October 27, 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>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Wiley: Discover 21st Century Laser-Free Confocal Microscopy</strong></h5><ul><li>Tu, 28.10.2025 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5598">Registration</a></li></ul><p>Explore how structured illumination and detection deliver confocal-quality imaging without lasers. Learn cost-effective, high-resolution biological imaging techniques.</p><h5><strong>2. Agilent Technologies: Forensic Identification Using Infrared Spectroscopy</strong></h5><ul><li>Tu, 28.10.2025 21:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5522">Registration</a></li></ul><p>Discover how the Agilent Cary 630 FTIR with ATR provides rapid and accurate forensic sample identification, ensuring reliable analytical results.</p><h5><strong>3. AZoM: Rheo+Raman – Deeper Polymer Insights from Research to QC</strong></h5><ul><li>We, 29.10.2025 14:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5599">Registration</a></li></ul><p>Join MIT’s Prof. Thomas J. Wallin and Anton Paar experts to explore how Rheo+Raman reveals real-time polymer curing, flow, and 3D printing behaviors.</p><h5><strong>4. Mettler-Toledo: Uncover the Secrets of Temperature-Modulated DSC</strong></h5><ul><li>Th, 30.10.2025 08:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/4750">Registration</a></li></ul><p>Learn the theory behind TMDSC and discover TOPEM applications for advanced material characterization and thermal analysis.</p><h5><strong>5. Bruker: QUANTAX WDS – Advancing Microanalysis Beyond the Limits of SEM EDS</strong></h5><ul><li>Th, 30.10.2025 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5600">Registration</a></li></ul><p>See how QUANTAX WDS improves SEM microanalysis with better spectral resolution, higher sensitivity, and superior light-element detection.</p><h5><strong>6. Anton Paar: e-SPRESSO Webinar – Big Density Results from Small Samples</strong></h5><ul><li>Th, 30.10.2025 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5575">Registration</a></li></ul><p>Learn how to perform accurate solid density measurements with minimal sample quantities, ensuring precision and reliability in material analysis.</p><h5><strong>7. Agilent Technologies: Internal Standard Selection</strong></h5><ul><li>Th, 30.10.2025 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5450">Registration</a></li></ul><p>Master how to choose and apply the right internal standard for analytical workflows to improve quantitation accuracy and reproducibility.</p>

Webinars LabRulezICPMS Week 44/2025

<p><strong>From simple automation to advanced scripting, the integrated Python interpreter gives you the freedom to shape Mnova around your workflows. To help you get started, follow our video series Mnova Scripting with Python: The Holy Grail of Automation? and discover how tailored tools can streamline your analytical work with just a few lines of code. Throughout the series, you will learn how to run Python scripts in Mnova, explore the documentation, install additional Python packages, work with Mnova objects, process and analyze NMR spectra, debug your scripts, and much more. The series concludes with an AI tool designed to classify spectra based on aromatic substitution type.</strong></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Sci_Y_Mnova_Scripting_with_Python_The_Holy_Grail_of_Automation_1f1c48e690.jpg" alt="SciY: Mnova Scripting with Python - The Holy Grail of Automation?" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Sci_Y_Mnova_Scripting_with_Python_The_Holy_Grail_of_Automation_1f1c48e690.jpg 245w," sizes="100vw" width="1600" height="900"></p><blockquote><p class="cke-user_style-important"><a target="_blank" rel="noopener noreferrer" href="https://go.sciy.com/l/271522/2025-09-03/43wf86"><strong>Download the scripts from the videos and try it yourself.</strong></a></p></blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=deVdAfbX3jY"><strong>Ep. 1: Introduction</strong></a></h4><ul><li>Discover the Mnova Python Engine! Learn what it is, where to find it, and how it helps you automate NMR data analysis and streamline workflows with Python scripting.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=QYyWBCRihOQ"><strong>Ep. 2: Why Python? &nbsp;</strong></a></h4><ul><li>Explore why this language is ideal for scientific automation, data processing, and workflow customization inside Mnova.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=eckPwABNIPY"><strong>Ep. 3: Hello, Pulpo!</strong></a></h4><ul><li>Run your first Mnova Python script: Hello, Pulpo! Get started with scripting in Mnova and see how simple automation can be.&nbsp;</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=Jwps6cEvqbw"><strong>Ep. 4: Using The Python Standard Library</strong></a></h4><ul><li>See how to use Python’s built-in Standard Library to interact with your file system directly from Mnova.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=EtSNGTz3fMM"><strong>Ep. 5: PyPI - Install &amp; Use Python Packages</strong></a></h4><ul><li>Discover third-party packages from PyPI. Learn how to install and use NumPy to extend your scripting power.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=gv66Rh_QfUY"><strong>Ep. 6: Mnova Extensions to Python &nbsp;</strong></a></h4><ul><li>Install Mnova’s Python extensions! Import .mnova files, access documentation, and expand your scripting capabilities.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=Xhu34ZAY7os"><strong>Ep. 7: Documents, Pages, and Items</strong></a></h4><ul><li>Learn to interact with documents, pages, and items to automate analysis, extract data, or create custom workflows.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=25qIbFCeRj4"><strong>Ep. 8: NMR Items</strong></a></h4><ul><li>Work with complex NMR spectra using the NMR module. Access and display detailed spectrum information via scripting.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=mNEOowGfa2c"><strong>Ep. 9: Applying Processing Templates to NMR Spectra</strong></a></h4><ul><li>Automate your NMR workflows by applying processing templates to spectra directly through Python scripts.&nbsp;</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=xx-nI3H_PqY"><strong>Ep. 10: NMR Peaks &amp; Multiplets</strong></a></h4><ul><li>Extract NMR peaks and multiplets from processed spectra to gain detailed analytical insights with ease.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=RvECqA4UpQM"><strong>Ep. 11: Mnova’s User Interface</strong></a></h4><ul><li>Make scripts interactive! Use Mnova widgets to create dialogs and user-friendly Python interfaces.</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/watch?v=o1-SZ_po2sc"><strong>Ep. 12: Debugging Your Scripts</strong></a></h4><ul><li>Debug smarter with Visual Studio Code. Learn to identify and fix issues quickly for a smoother development process.&nbsp;</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="https://go.sciy.com/l/271522/2025-10-17/4jwld8"><strong>Ep. 13: Building an AI Classifier to Detect Aromatic Substitution</strong></a></h4><ul><li>This final episode showcases how seamlessly Mnova integrates with Python to power advanced data analysis and machine learning, bridging the gap between NMR spectroscopy and actionable AI.</li></ul>

Mnova Scripting with Python: The Holy Grail of Automation?

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 27th October 2025? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>LECO</strong>, <strong>Shimadzu</strong> and <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. LECO: Determination of Total Organic Carbon in Soil, Rock, and Shale by Acid Digestion and Combustion</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/C832_TOTAL_ORGANIC_CARBON_SOIL_ROCK_SHALE_203_821_679_b48939f659.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Total organic carbon (TOC) determination in soil, rock, and shale is a common analytical tool used for determining locations of natural hydrocarbon fossil fuel deposits. The organic carbon richness of rock samples (TOC%) is one of the most important parameters used in the evaluation of sediments as a potential source for petroleum or natural gas. TOC content controls the hydrocarbon generation ability of rock and the content of adsorbed natural gas within the rock, as it is the source material responsible for the formation of natural hydrocarbon fossil fuel deposits.&nbsp;</p><p>TOC determination can also be used for the assessment of soil quality in agriculture and as a quality control parameter for raw building materials. TOC content is one of the most important constituents of soil due to its capacity to affect plant growth as both a source of energy and a trigger for nutrient availability through mineralization. The determination of TOC is also an important quality control parameter used during the manufacturing of cement, from the raw material until the final product.</p><h4><strong>Instrument Model and Configuration&nbsp;</strong></h4><p>The LECO C832 is a macro combustion carbon determinator that utilizes a pure oxygen environment in a high-temperature horizontal ceramic combustion furnace designed to handle macro sample masses. A weighed sample is combusted, and the combustion gases are swept from the furnace and through anhydrone tubes for the removal of moisture. The combustion gases are then carried to a non-dispersive infrared (NDIR) cell for the detection of carbon (as CO<sub>2</sub>).</p><h4><strong>Typical Results&nbsp;</strong></h4><p>Data was generated utilizing a linear, full regression calibration using fractional masses (~0.1 g to ~0.25 g) of LECO 502-950 LCRM Synthetic Carbon (0.14% C), LECO 502-696 LCRM Synthetic Carbon (1.01% C), LECO 502-905 LCRM Synthetic Carbon (5.00% C) and fractional masses (~0.1 g to ~0.5 g) of LECO 502-902 LCRM Calcium Carbonate (12.03% C). The calibration was verified with LECO 502-696 LCRM Synthetic Carbon (1.01% C).</p><h3><strong>2. Shimadzu: Determination of Metal Elements in Edible Oils Using ICP-MS</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00920_en_a8363ed014.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>It is possible to accurately analyze metal elements in edible oils.&nbsp;</li><li>Edible oils can be analyzed using only dilution with organic solvents, which simplifies sample preparation and improves throughput.&nbsp;</li><li>The use of solvent-resistant peristaltic pump tubing enables the addition of internal standard elements in-line, even during the analysis of organic solvents, thereby eliminating the need for manual addition.</li></ul><p>Edible oils are essential in our diet. Analyzing metal elements in edible oils is crucial for ensuring food safety and preserving oil quality. The Codex General Standard for Contaminants and Toxins in Food and Feed1) (hereinafter referred to as CODEX) requires the management of heavy metals (such as arsenic and lead) present in edible oils. Additionally, metal ions such as copper, iron, and manganese in edible oils can act as oxidation catalysts, affecting the deterioration of the oil.&nbsp;</p><p>For the analysis of metal elements in edible oils, methods involving the acid digestion of the oil followed by analysis using ICP Optical Emission Spectrometry (ICP-OES) or ICP Mass Spectrometry (ICP-MS) are known. While digestion with acid can remove the organic matrix, it also carries the risk of volatilizing or contaminating the analytes during the complex sample preparation process, which can lead to errors in the analysis results. Furthermore, the complex sample preparations are timeconsuming and limit throughput. Another method involves diluting edible oils with organic solvents and analyzing them by ICP-OES. However, with this method, it can be challenging to achieve sufficient sensitivity for the analysis of harmful trace elementssuch as As and Pb.&nbsp;</p><p>In this Application News, the ICPMS-2050 (Fig. 1) was used to analyze 25 metal elements by simply diluting edible oils with an organic solvent. Spike recovery tests are also performed to verify the validity of the analytical results.</p><h4><strong>Removal of Interference and Detection Limit&nbsp;</strong></h4><p>To analyze metal elements with high sensitivity in organic solvents, it is necessary to eliminate interferences caused by carbon from the organic solvent. For example, there are carbonderived polyatomic ion interferences such as 12C12C+ on 24Mg, 12C16O+ on 28Si, and 40Ar12C+ on 52Cr. By using collision mode with helium gas or reaction mode with hydrogen gas, these interferences can be eliminated, enabling sensitive analysis. As an example, Fig. 2 shows the calibration curve for Cr under each condition. In the No Gas mode, the influence of 40Ar12C+ results in a high background equivalent concentration (BEC), making it challenging to analyze trace amounts of 52Cr. However, in collision mode and reaction mode, interferences can be eliminated, reducing the BEC and enabling the analysis of trace amounts of 52Cr.&nbsp;</p><p>Additionally, the detection limits (DLs) are shown in Table 4. The detection limits were calculated as the concentration that gives a signal equivalent to three times the standard deviation (σ) of the calibration blank sample (STD0). Detection limits of arsenic and lead in edible oils were sufficient to monitor the CODEX standard values of 100 µg/kg (0.1 mg/kg).</p><h4><strong>Conclusion&nbsp;</strong></h4><p>In this Application News, the analysis of metal elements in edible oils was performed using the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=ICPMS-2050"><strong>ICPMS-2050</strong></a> with the organic solvent injection system. Good spike recoveries were achieved, confirming that trace metal elements in edible oils can be accurately quantified with a simple sample preparation involving only dilution with organic solvents. Since it is possible to analyze without the complex proceduresrequired for acid decomposition, the risk of volatilization or contamination of the analytes during the sample preparation process is reduced. Additionally, the use of solvent-resistant peristaltic pump tubing enables the in-line addition of internal standard elements, further reducing the time required forsample preparation.</p><h3><strong>3. Thermo Fisher Scientific: Fast routine analysis of trace and ultra trace elements in zinc alloys by Glow Discharge Mass Spectrometry</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_003108_ioms_gd_ms_element_gd_plus_zinc_alloys_an003108_em_en_34cfefa25e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Zinc is used for different applications like corrosion protection, in fertilizers, pharmaceuticals and in energy storage as alternative for lithium-based batteries. Zinc alloys are used e.g. for die casting and as galvanizing alloys<sup>1</sup> . Corrosion of zinc-aluminum alloys is accelerated by small amounts of impurities, especially lead, cadmium, and tin<sup>2,3</sup>. Lead and other impurities such as antimony influence the morphology and orientation of electrolytically deposited zinc4 . To ensure consistently high product quality, the analysis of trace and ultra trace elements in zinc and its alloys is essential. There is an increasing demand to specify better grades of zinc and zinc alloys and therefore, better limits of detection are required. With the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1690"><strong>Thermo Scientific™ Element GD Plus™ Glow Discharge Mass Spectrometer</strong></a> sub-ppb levels of detection can be achieved, much lower than by Spark-OES and GD-OES. The Element GD Plus GD-MS is being used for quality control in routine production for different applications in industrial manufacturing environments. This document describes the fast direct determination of elements in zinc alloys down to ppb level.</p><h4><strong>Analytical setup&nbsp;</strong></h4><p>The flat zinc alloys samples (Figure 1) are analyzed directly, and no digestion is required. The instrumental conditions for the analysis with the Element GD Plus GD-MS are shown in Table 1. To remove any potential sample surface contamination, fast presputtering in continuous DC mode was applied before the data acquisition. Depending on the sample preparation (e.g. milling or grinding), the resulting degree of surface contamination, and the limits of detection required, lower presputter times can be used, leading to even higher sample throughput. Most elements are analyzed in Medium Mass Resolution (R = 4000). Gallium and Yttrium are analyzed in High Mass Resolution (R = 10000) to ensure an interference-free measurement by resolving the analytes from the ZnH and MgZn interferences.</p><h4><strong>Results&nbsp;</strong></h4><p>The Certified Reference Materials BCR-357, BCR-359 and BCR-360 have been used to calibrate Mg, Fe, Ni, Cu, Cd, In, Sn, Tl and Pb in zinc alloys. The calibration lines are displayed in Figure 2, showing excellent linearity. This calibration was used for the quantification of elements in a zinc alloy sample. For the elements that were not calibrated, the Standard Relative Sensitivity Factors (sRSF) of the Element GD Plus GD-MS were used by the software for quantification. With the sRSFs, the semiquantitative results typically fall within ± 30 % of the true values. Table 2 shows the mass fractions for selected elements as well as the relative standard deviation (RSD) of three replicative consecutive measurements on the same spot. Mass fractions in the single digit ppb range can be quantified with ≤ 10 % RSD. For mass fractions ≥ 0.4 ppm the RSD was ≤ 2 %. For mass fractions ≥ 30 ppm the RSD was 1 %. When the result was below the Limit of Detection (defined as 3 x standard deviation of low concentration measurements), it is stated as &lt; Limit of Detection. With the method used, the typical Limits of Detection are in the low single digit ppb range.</p><h4><strong>Conclusions&nbsp;</strong></h4><p>The Element GD Plus GD-MS is an extremely sensitive tool for determining trace and ultra trace impurities in solid samples. The calibration lines in zinc alloy matrices show excellent linearity. Mass fractions at the ppb and ppm level are quantified precisely and reliably. Single digit ppb mass fractions can be quantified with ≤ 10 % RSD. For mass fractions ≥ 30 ppm the precision was 1 % RSD. Interferences are safely eliminated in either Medium Mass Resolution (R = 4000) or High Mass Resolution (R = 10000). Automatic resolution switching within one second enables the routine use of the optimum mass resolution. Surface contaminations are removed by fast presputtering before the data acquisition. The analysis does not require a digestion and is fast with a sample throughput of approximately five samples per hour.</p>

News from LabRulezICPMS Library - Week 44, 2025

<h3><strong>Matrix certified reference material of strawberry leaves METRANAL® CRM AN-BM01</strong></h3><h4><strong>Packing:&nbsp;</strong></h4><p>25 g of powder of the strawberry leaves with a particle size of less than 100 µm in amber HDPE bottle. The sample is radiation stabilized.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ANALYTIKA_Matrix_certified_reference_material_of_strawberry_leaves_METRANAL_CRM_AN_BM_01_dedc732792.jpg" alt="ANALYTIKA: Matrix certified reference material of strawberry leaves METRANAL® CRM AN-BM01" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ANALYTIKA_Matrix_certified_reference_material_of_strawberry_leaves_METRANAL_CRM_AN_BM_01_dedc732792.jpg 120w," sizes="100vw" width="480" height="626"></p><h4><strong>Intended use:&nbsp;</strong></h4><p>This certified reference material is intended primarily for use in realizing metrological traceability, validation of analytical methods and the transfer of property values by total element contents to other materials of similar composition.&nbsp;</p><h4><strong>Recommended analytical methods for method dependent measurements:&nbsp;</strong></h4><p>Flame AAS, ETA-AAS, ICP-OES, ICP-MS&nbsp;</p><h4><strong>Metrological traceability:&nbsp;</strong></h4><p>Metrological traceability is realized by using certified calibration standards solutions for the calibration of measurement methods used (direct traceability to SI unit) and/or by simultaneous analysis of a matrix CRM (RM) of similar composition.&nbsp;</p><h4><strong>Storing and instruction for use:&nbsp;</strong></h4><p>This CRM have to be stored in original bottle and between 5-30°C (in a dark and dry place). The material should be analysed in the "as received" state and their dry weight should be determined on non-analysed aliquots oven-dried at 105°C till the constant weight. The material in the bottle must be rehomogenized before each use by mechanical shaking of the content for 1-2 minutes. The bottle should be opened a minimum of 2 minutes after rehomogenization in order to prevent an escape of fine powder particles from the bottle into the environment and their sedimentation.</p><h4><strong>Certified and indicative values and their uncertainties:&nbsp;</strong></h4><p>The certified and indicative values of total element contents are summarized in Table 1. The overall means evaluated have been given a status of certified and indicative values using the following criteria: data should be available from at least two independent analytical methods, at least 5 and 3 accepted laboratory means should be available for calculation of the overall mean for certified and indicative value, respectively. At combined uncertainties presented, the contribution of uncertainty of characterization of a particular property value is dominant.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ANALYTIKA_Table_1_Certified_and_indicative_values_of_total_element_contents_and_their_associated_bff6819a2e.jpg" alt="ANALYTIKA: Table 1 - Certified and indicative values of total element contents and their associated" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ANALYTIKA_Table_1_Certified_and_indicative_values_of_total_element_contents_and_their_associated_bff6819a2e.jpg 81w," sizes="100vw" width="552" height="1062"></p>

Matrix certified reference material of strawberry leaves METRANAL® CRM AN-BM01

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SciY, a vendor-agnostic Bruker BioSpin division, drives R&D and manufacturing digitalization and automation. Its harmonized solutions cover experiment design, data management, analysis, automation, and AI readiness, empowering next-generation self-driving labs and factories.

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Analytika is a Czech company that offers and produces certified reference materials (CRM) and (ultra)pure chemicals for quality control and quality assurance in laboratories, including accredited laboratories.

Our portfolio also includes pipettes and tips, digestors, PFA labware and other equipment for analytical laboratory and trace analysis.

Matrix certified reference material of strawberry leaves METRANAL® CRM AN-BM01

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