<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 7th September 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND 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://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies </strong>and <strong>Shimadzu, </strong>presentation by<strong> MDCW / Los Alamos National Laboratory </strong>and other document by<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Quantification of Microplastics in Soil and Sediment Using Dry-Ice-Assisted Fractionation</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_8700_ldir_chemical_imaging_system_5994_9256en_agilent_94102868f0.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>Microplastics are now widely reported in terrestrial environments, including soil and sediments, raising concerns about soil health and potential human exposure pathways (for example, in agricultural regions).1,2 Microplastics can be classified by polymer type and particle characteristics (size, color, and morphology such as fragments and fibers) and may be primary (manufactured small) or secondary (formed from the breakdown of larger plastic items). In this workflow, microplastics were defined as particles ranging from 1 µm to &lt;&nbsp;1,000 µm.&nbsp;</p><p>Reliable and reproducible quantification remains challenging, limiting comparability between studies and complicating risk assessment and the development of defensible monitoring approaches. Challenges occur across the workflow, from sampling and extraction through to instrumental analysis and reporting, and are exacerbated by environmental heterogeneity, inconsistent reporting, and the limited availability of standard reference materials and routine quality control&nbsp;procedures.&nbsp;</p><p>Conventional soil microplastics workflows typically include drying, density separation and/or flotation, chemical digestion to remove organic matter, and filtration prior to spectroscopic identification.3–5 In this application note, we combined a fast, practical extraction workflow with consistent, automated instrumental analysis by adapting foam fractionation to soil and sediment. Several bubbling strategies (soda water, compressed air, and nitrogen) were evaluated; dry ice was selected because it produced vigorous mixing and stable foam in the presence of a surfactant, enhancing exposure of particles to the foam layer and improving isolation from the matrix.&nbsp;</p><p>All method validation and environmental sample analyses were performed using an Agilent 8700 LDIR chemical imaging system, providing automated particle location, polymer identification, sizing, and counting. A particle-based internal standard was integrated into the workflow as a simple, sample‑specific check on extraction and transfer&nbsp;performance.</p><h4><strong>Results and discussion</strong></h4><h5><strong>Environmental sample overview&nbsp;</strong></h5><p>The workflow was applied to environmental samples from Victoria, Australia, including three soil types (chromosol, dermosol, and hydrosol) and freshwater sediment from three locations. In all samples, the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=8700%C2%A0LDIR"><strong>8700&nbsp;LDIR</strong></a> provided automated particle identification, sizing, and counting of microplastics following dry-ice-assisted fractionation and density separation. Soil concentrations ranged from 4,360 to 102,000 microplastics kg–1, with acrylonitrile butadiene styrene and polyamide the most frequently detected polymers. Sediment concentrations ranged from 41,400 to 127,000 microplastics kg–1 and were dominated by fragments in the 10 to 50 µm size&nbsp;range.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This study demonstrates the suitability of the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=8700%C2%A0LDIR"><strong>Agilent 8700 LDIR chemical imaging system</strong></a> for automated, particle‑based quantification of microplastics in complex soil and sediment matrices. When combined with dry-ice-assisted foam fractionation, the 8700 LDIR provided reliable identification, sizing, and counting of microplastics across a broad size and density range with high&nbsp;repeatability.&nbsp;</p><p>The integration of a particle-based ISTD within the LDIR workflow enabled sample-specific performance assessment, addressing a key limitation in current microplastic methodologies. Application to environmental samples confirmed the robustness of the approach and highlighted the capability of the 8700 LDIR to support high‑confidence, reproducible microplastics analysis for research and routine monitoring applications.</p><h3><strong>2. MDCW / Los Alamos National Laboratory: Discovery-based analysis for chromatographic trends using alteration analysis (ALA) and two-dimensional correlation analysis (2DCOR)</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/O_1_Freye_10783a9cf3.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>The presentation focuses on discovery-based analysis of complex chromatographic datasets using <strong>Alteration Analysis (ALA)</strong> and <strong>Two-Dimensional Correlation Analysis (2DCOR)</strong>. The motivation is to avoid manual chromatogram comparison and labor-intensive peak-table processing, especially for GC-TOFMS and GC×GC datasets that can contain billions of data points. Instead, the authors analyze raw data directly and use statistical methods to identify only those features that show meaningful chemical changes across a series of samples.</p><p>ALA provides a quantitative way to detect how individual data points vary across a sample series. It generates three outputs: the <strong>Basic Alteration Map (BAM)</strong> for overall change, the <strong>Synchronous Alteration Map (SAM)</strong> for mainly linear changes, and the <strong>Asynchronous Alteration Map (AAM)</strong> for nonlinear behavior. Validation with simulated datasets showed that ALA can detect relatively small changes and remains effective even for severely overlapping chromatographic peaks. The presentation reports that its performance remains similar to that for isolated peaks down to a resolution of about <strong>Rs 0.3</strong>, and under suitable signal-to-noise and change conditions it can still succeed at resolutions as low as <strong>Rs 0.01</strong>.</p><p>While ALA identifies which signals are changing and the type or magnitude of that change, <strong>2DCOR adds information about how those changes are related to one another</strong>. Synchronous correlation maps describe whether signals change together in the same or opposite direction, while asynchronous maps help establish sequential relationships between changes. Using Noda’s rule, the order in which chemical features respond to an external perturbation can be inferred. The combined ALA–2DCOR workflow therefore provides three key pieces of information: <strong>the significance of a change, the relationship between changing components, and the order in which those changes occur</strong>.</p><p>Extending these methods to GC×GC required additional processing because of chromatographic misalignment and the enormous size of two-dimensional datasets, with GC×GC-HRMS data reaching roughly <strong>80 billion data points</strong>. The solution presented is to divide the chromatographic space into tiles, apply ALA to locate important features, then re-center tiles and use 2DCOR on the relevant regions. In a recent application to <strong>high-explosive aging</strong>, ALA detected more than <strong>250 chemical changes</strong>, providing insight into decomposition behavior where simpler feature-selection approaches such as the F-ratio were insufficient. The authors conclude that combining ALA and 2DCOR offers a practical route for discovering and interpreting chemical trends in highly complex GC-MS and GC×GC datasets.</p><h3><strong>3. Shimadzu: Residual Solvent Analysis in Pharmaceuticals with N2 Carrier Gas Using </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=GC-2060"><strong>Nexis GC-2060</strong></a><strong> and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=HS-20+NX"><strong>HS-20 NX</strong></a></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_01_01172_en_59d0e341a0.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User benefits</strong></h4><ul><li>The newly designed FID delivers outstanding sensitivity, ensuring highly accurate and reliable analysis.</li><li>Achieve full compliance with JP and USP guidelines using N2 carrier gas, which is highly affordable and readily available.</li><li>Easily analyzes tert-butyl alcohol and Cyclopentyl methyl ether, the Class 2 solvents added in the ICH Q3C (R8) guideline.</li></ul><p>For the analysis of residual solvents in pharmaceuticals, headspace gas chromatography (HS-GC) is widely used to target Class 1 and Class 2 solvents, in accordance with USP General Chapter &lt;467&gt; and JP18 (Japanese Pharmacopoeia, 18th Edition). These regulatory tests demand high sensitivity and reproducibility. The newly developed FID for the Nexis GC-2060 offers superior detection sensitivity compared to conventional models, enabling highly sensitive analysis. Additionally, due to recent helium supply shortages and rising costs, there is a growing demand for alternative analysis using nitrogen (N2) as a carrier gas.&nbsp;</p><p>This application note presents the analysis of Class 1 and Class 2 water-insoluble samples using the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=GC-2060"><strong>Nexis GC-2060</strong></a> with N2 carrier gas, compliant with Supplement II to the Japanese Pharmacopoeia. DMSO was used as the sample solvent.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>Using the Nexis GC-2060 with nitrogen (N2) carrier gas, we successfully achieved the analytical precision required by the Japanese Pharmacopoeia (JP18) and USP General Chapter &lt;467&gt;. The HS-GC method delivered excellent S/N ratios and high repeatability for the analysis of residual solvents in waterinsoluble pharmaceutical samples.</p><h3><strong>4. Thermo Fisher Scientific: Measuring and monitoring emissions at data centers: A practical guide to compliance and performance</strong></h3><ul><li>Other document (white paper)</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/datacenter_emissions_wp1802_en_45a9da8df3.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The rapid expansion of data centers, driven by artificial intelligence (AI), cloud computing, and digital infrastructure, is creating unprecedented demand for electrical power. In many regions, utility interconnection delays, transmission constraints, and the need to bring new computing capacity online quickly are driving data center developers to incorporate onsite power generation as part of their energy strategy. Natural gas-fired turbines, reciprocating engines, and other distributed generation assets are increasingly being deployed to supplement or, in some cases, serve as the primary source of power for new facilities.&nbsp;</p><p>As data centers evolve from purely electrical loads into powergenerating facilities, they become subject to a range of air permitting, emissions reporting, and regulatory compliance requirements. Consequently, emissions monitoring has emerged as a critical component of both regulatory compliance and responsible facility operation. Facility owners and operators must balance the need for reliable power generation with increasingly stringent environmental requirements while maintaining operational performance and uptime.&nbsp;</p><p>This white paper provides a practical, technically grounded overview of emissions monitoring strategies for data centers with onsite power generation. It outlines the regulatory landscape, reviews common monitoring approaches, and discusses key system design considerations to help facility owners, operators, engineers, and environmental professionals develop effective compliance strategies while supporting the continued growth of digital infrastructure.</p><h4><strong>Analyzer technology considerations for modern CEMS&nbsp;</strong></h4><p>Gas analyzers form the core of any continuous emissions monitoring system. These instruments rely on well-established measurement principles that are recognized by regulatory agencies worldwide. Chemiluminescence detection (CLD), as described in EPA Method 7E², is widely used for NOx measurement due to its sensitivity, selectivity, and long-term stability. Similarly, non-dispersive infrared (NDIR) technology, as described in EPA Method 10³, is commonly used for carbon monoxide (CO) monitoring. These proven measurement techniques are broadly accepted across federal, state, and local regulatory programs and provide the accuracy and reliability required for emissions compliance applications. Selecting analyzer platforms that are widely deployed and familiar to regulators, testing organizations, and CEMS integrators can further simplify implementation, helping facilities achieve a smoother commissioning process and faster path to compliance.&nbsp;</p><p>Within this context, modern analyzer platforms like the <strong>Thermo Scientific™ 42iQ NO-NO2-NOx Gas Analyzer </strong>and the <strong>Thermo Scientific™ 48iQ CO Gas Analyzer</strong> have been specifically designed to support continuous emissions monitoring applications. These systems deliver high sensitivity, low detection limits, and stable performance across a wide range of operating conditions. Both analyzers can also be configured with optional oxygen (O₂) measurement capability, providing a convenient and cost-effective solution for monitoring NOx , CO, and O₂. This capability is particularly valuable in direct extractive CEMS configurations, where oxygen measurements are often required for emissions correction and reporting.&nbsp;</p><p>Seamless integration with data acquisition and handling systems (DAHS) is another key requirement for a modern CEMS. Analyzer platforms must support reliable data communication and interoperability, enabling consistent reporting and alignment with regulatory requirements.&nbsp;</p><p>Selecting the appropriate analyzer technology is a critical step in CEMS design. A well-designed analyzer solution not only supports compliance, it also contributes to long-term operational efficiency, reduced lifecycle costs, and confidence in emissions data.</p></div></div></div></div></div></div></section></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 37, 2026

News from LabRulezLCMS Library - Week 37, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 7th September 2026? 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>Agilent Technologies, Metrohm </strong>and<strong> Shimadzu </strong>and brochure by<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 ICP‑QQQ</strong></a><strong> with m‑Lens for Ultratrace Analysis of High‑Purity Reagents</strong></h3><p><strong>Achieving low backgrounds under hot plasma conditions using ICP-QQQ preset methods&nbsp;</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_m_lens_high_purity_reagents_9500_icp_qqq_5994_9062en_agilent_f0e65c4d9b.pdf"><strong>Full PDF for download</strong></a><strong>&nbsp;</strong></li></ul><p>Controlling trace-metal contaminants is essential in both semiconductor reagent analysis and metal‑based materials characterization. High‑purity chemicals such as nitric acid (HNO<sub>3</sub>) and sulfuric acid (H<sub>2</sub>SO<sub>4</sub>), as well as high‑purity metals, require analytical workflows capable of achieving sub‑ppt detection limits (DLs) while maintaining excellent robustness and reproducibility. To meet these needs, the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 Triple Quadrupole ICP‑MS (ICP‑QQQ)</strong></a><strong> </strong>equipped with a Dual‑Cell System (DCS)<sup>1</sup> and the optional m‑lens ion optics provides a highly stable platform, enabling low backgrounds and reliable performance under hot plasma conditions.&nbsp;</p><p>The m‑lens is engineered to suppress background signals for elements including easily ionized elements such as Na and K that typically show elevated background equivalent concentrations (BECs) under hot plasma conditions. The 9500 ICP-QQQ with m‑lens is suitable for the analysis of metal digests and other sample types that demand robust performance and low backgrounds.<sup>2</sup></p><p>However, its benefits also extend to low‑matrix, high‑purity reagents, supporting sub‑ppt impurity measurements of simpler matrices.<sup>3&nbsp;</sup></p><p>Agilent’s ICP‑QQQ portfolio allows users to select instruments based on desired DLs and operational objectives. For laboratories seeking the lowest possible DLs, the Agilent 8900 Semiconductor configuration ICP-QQQ equipped with an s‑lens provides exceptional sensitivity, making it suitable for laboratories operating at the extreme limits of ultratrace quantification. The 9500 ICP-QQQ with m‑lens provides robust, high sensitivity measurements, ideal for routine trace level applications. This model is appropriate for labs that may not require the lowest DLs for every element but still demand high‑quality, reproducible data.&nbsp;</p><p>In this study, we evaluated the performance of the 9500 ICP‑QQQ using a method designed specifically for low‑matrix, high‑purity reagents. Using preset methods implemented in the instrument software for ultrapure water (UPW) and for H<sub>2</sub>SO<sub>4</sub> —the UPW method is also applicable to diluted HNO<sub>3</sub> and H<sub>2</sub>O<sub>2</sub> — we analyzed 1% HNO<sub>3</sub> and high purity H<sub>2</sub>SO<sub>4</sub> separately. Sub-ppt DLs and low backgrounds were achieved for target analytes in both matrices. These results confirm that the 9500 ICP‑QQQ with m-lens can be used for ultratrace impurity analysis of semiconductor‑grade reagents, as well as demanding metal‑matrix applications.&nbsp;</p><h4><strong>Experimental</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><p>The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 ICP-QQQ</strong></a> fitted with the optional m-lens and the Agilent I-AS autosampler were fully controlled using Agilent OpenLab ICP-MS software version 1.1. Designed for ultratrace metal analysis, the sample introduction system comprised a MicroFlow PFA nebulizer with I-AS probe (operated in self-aspiration mode), a temperature-controlled quartz spray chamber, and a quartz torch with a 2.5 mm inner diameter (id) injector. A platinum-tipped sampler cone with copper base and a platinum-tipped skimmer cone with nickel base for m-lens were used.&nbsp;</p><p>The 9500 ICP‑QQQ was operated using five tune modes: no gas, Advanced Helium Mode (AHM), O2 , NH3 , and H2 . For the H2 SO4 samples, additional specialized tunes were prepared for the determination of platinum (Pt) and zinc (Zn) to ensure optimal performance (Table 1). The use of reaction and collision gases enabled effective removal of spectral interferences originating from argon plasma species as well as matrix‑related polyatomic ions. The makeup gas flow rate and the Omega lens voltage parameters were automatically optimized by the preset methods for m-lens, resulting in a stable CeO/Ce ratio that was maintained between approximately 1 and 3%.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This study evaluated the Agilent 9500 ICP‑QQQ with m‑lens for ultratrace analysis of high‑purity reagents using preset methods for 1% HNO3 and 9.8% H2 SO4 . Sub‑ or singlefigure ppt detection limits and low background equivalent concentrations were achieved for all elements, demonstrating that ultratrace measurements can be easily performed under hot‑plasma conditions. The Dual‑Cell System enabled effective removal of matrix‑related interferences, with Advanced Helium Mode providing an effective approach for the measurement of challenging elements such as Zn in H2 SO4 . The results show that the 9500 ICP‑QQQ with intuitive preset methods can deliver sensitive, low-background data, offering an accessible entry point for laboratories that are new to ultratrace analysis.</p><h3><strong>2. Metrohm: Rapid quality control of fruits and vegetables using NIR spectroscopy</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_nir_141_download_e1bab41aee.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Near-infrared (NIR) spectroscopy has emerged as a powerful, nondestructive analytical technique for quality control in the fruit and vegetable processing industry. This Application Note presents the use of NIR spectroscopy for the rapid monitoring of firmness in apples and °Brix in peaches and crushed tomatoes. These are critical parameters to verify the quality and freshness of various fruits and vegetables. Traditionally measured using destructive methods like penetrometry and refractometry, these fresh produce quality control attributes are critical indicators of ripeness, sweetness, and overall consumer acceptability.</p><h4><strong>EXPERIMENTAL EQUIPMENT</strong></h4><p>All samples were tested with a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=220&amp;search=NIR"><strong>Metrohm near-infrared (NIR) spectrometer.</strong></a> The measurements were done in reflection mode using either a large sample cup or direct measurement (i.e., no holder). Metrohm software was used for all data acquisition and quantification model development.</p><h4><strong>CONCLUSION</strong></h4><p>This Application Note shows that NIR spectroscopy can easily measure firmness in apples, as well as °Brix in peaches and crushed tomatoes. When compared to traditional lab methods (Table 1), NIRS provides a faster, simpler, and nondestructive alternative with excellent accuracy and consistency. All measurements proved to be consistent and fast, helping producers to monitor their fresh fruits and vegetables and deliver high-quality products to consumers.</p><h3><strong>3. Shimadzu: Evaluation of Surface Carbon on Lithium-Ion Battery Cathode Active Materials Using a TOC Analyzer and Infrared/Raman Microscope</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_01_01122_en_b3b0f25211.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User benefits</strong></h5><ul><li>The TOC solid sample measurement system enables quantitative evaluation of carbon coatings on cathode active material surfaces.</li><li>The AIRsight infrared/Raman microscope enables evaluation of the carbon layer structure.</li><li>Carbon content and structure can be evaluated using a small amount of sample.</li></ul><p>The cathode active materials used in lithium-ion batteries (LiBs) for electric vehicles (EVs) are broadly classified into two categories depending on their application: nickel-based materials (NCM/NCA/NCMA) and phosphate-based materials (LFP: LiFePO4, LMFP: LiFexMn1-xPO4). Nickel-based materials are characterized by high energy density as well as excellent low-temperature and high-power performance, making them indispensable for longrange driving and high-performance vehicle segments. In contrast, phosphate-based materials offer superior safety, long cycle life, and cost advantages, and their use is expanding primarily in standard-range and mass-market segments.</p><p>Because LFP and LMFP compounds are intrinsically low in electronic conductivity, a carbon coating on the surface of the active material is essential to compensate for that limitation and improve performance. Accordingly, quantitative control of carbon content is of great importance. For that type of carbon analysis, the TOC solid sample measurement system (Fig. 1), which combines a TOC-L total organic carbon analyzer with an SSM-5000A solid sample combustion unit, is effective.&nbsp;</p><p>Furthermore, the conductivity of the surface carbon layer is closely related to the degree of graphitization and defect structure of the carbon, making structural evaluation of the carbon layer equally important. The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=AIRsight"><strong>AIRsight infrared/Raman microscope</strong></a> (Fig. 2) enablessuch structural evaluation.&nbsp;</p><p>This Application News presents examples of evaluating carbon on the surface of LMFP cathode active materials, with carbon quantitation using a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=TOC-L"><strong>TOC-L </strong></a><strong>+ </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=SSM-5000A"><strong>SSM-5000A system</strong></a> and carbon layer structure evaluation using the AIRsight infrared/Raman microscope.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>Quantitative analysis of the carbon coating on the LMFP surface was performed using the TOC solid sample measurement system (TOC-L + SSM-5000A), and structural evaluation of the carbon layer was conducted using the AIRsight microscope. In addition, Raman analysis of the LMFP residue after TC analysis was carried out to verify the validity of the carbon quantitation results. The TOC solid sample measurement system (TOC-L + SSM-5000A) is capable of not only TC analysis in solid samples, but also of IC and TOC analysis. Furthermore, by simply changing the software settings, carbon analysis of liquid samples (TOC, TC, and IC) can also be performed using the TOC-L main unit. This system can also be applied to carbon analysis of water-extractable TOC in black mass, lithium extraction solutions, and lithium carbonate, all of which are relevant materialsin lithium-ion battery recycling. The AIRsight is capable of both Raman and infrared measurements. Therefore, in addition to the Raman measurements introduced here, it can be used, with a single microscope system, to evaluate degradation caused by charge and discharge cycles in various battery components, such as negative electrode materials and separators.</p><h3><strong>4. Thermo Fisher Scientific: </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2002"><strong>Thermo Scientific GS Omni</strong></a><strong> Light Element Analysis in Slurry Process Streams</strong></h3><ul><li>Brochures and specifications</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/CAD_GS_Omni_Light_Element_Analyzer_bf50abdb7e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2002"><strong>Thermo Scientific™ GS Omni analyzer</strong></a> provides accurate, real-time elemental analysis of multiple slurry streams for both light and heavy elements. Using the Prompt Gamma Neutron Activation Analysis (PGNAA) technology, the GS Omni analyzer has a distinct advantage over analyzers using X-ray fluorescence (XRF) and Laser induced breakdown spectroscopy (LIBS) by being able to directly measure elements lower than calcium on the periodic table and particle sizes up to 5mm.</p><h4><strong>Benefits&nbsp;</strong></h4><p>The Thermo Scientific GS (Gamma Slurry) Omni analyzer is the latest development of a proven, robust, analyzer that provides direct simultaneous analysis of multiple elements in slurry beneficiation plants.&nbsp;</p><p>The analyzer is available in configurations of 2 to 8 streams. The optimum number of streams is usually dependent on the stream concentrations, elements of interest, required cycle analysis time, plant layout and process control considerations. This elemental analyzer will enable improvements in product quality, recovery and lower production costs.&nbsp;</p><h4><strong>Applications&nbsp;</strong></h4><p>The Thermo Scientific GS Omni analyzer is a powerful measurement tool in the following applications:&nbsp;</p><ul><li>Slurry beneficiation / Light element analysis&nbsp;</li><li>Product quality / Penalty costs&nbsp;</li><li>Tailings management&nbsp;</li></ul><p>Slurries include:&nbsp;</p><ul><li>Iron ore&nbsp;</li><li>Sulphur&nbsp;</li><li>Phosphates&nbsp;</li><li>Copper&nbsp;</li><li>Calcium carbonate&nbsp;</li><li>Magnesium&nbsp;</li><li>Industrial Minerals</li></ul>

News from LabRulezICPMS Library - Week 37, 2026

Article

Application

Presentation

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Agilent Technologies

Bruker

Thermo Fisher Scientific

SelectScience

SCIEX

Waters Corporation

<p><strong>Keeping your GC system running smoothly isn’t just about good method development; it’s also about being prepared. In this webinar, we’ll walk through the essential consumables every lab should keep on hand to avoid unnecessary downtime. &nbsp;From gas traps and syringes to columns and detector supplies, we will discuss what supplies to stock and how this can help save valuable time.</strong></p><p>If you are about to purchase an instrument, we will also discuss critical items you’ll need to have on hand to ensure the installation is completed smoothly.</p><p>Whether you’re new to GC or looking to optimize your workflow, this webinar will help ensure your system and your lab team stay up and running.</p><blockquote><p><strong>Speaker:</strong> Ryan Mayfield (Field Service Engineer, Agilent Technologies)</p><p>Ryan Mayfield has over 11 years of experience as a Field Service Engineer supporting GC and GCMS systems. &nbsp;He also delivers on-site application consulting for customers across a wide range of industries, including environmental, biotech, and petrochemical fields. &nbsp;He has a BS and MS in Food Science from UC Davis.</p><p><strong>Additional Speaker:</strong> Alex Ucci (Application Engineer, Agilent Technologies)</p><p>In his current position at Agilent, Alex provides application assistance and technical support for sample preparation products as well as GC and LC consumables. Before he joined Agilent in 2014, Alex was a graduate student at the Pennsylvania State University researching the morphology and surface properties of aerosol particles using a wide variety of analytical techniques. He has an MS degree in chemistry.</p></blockquote>

Agilent Technologies: Becoming A Better Chromatographer - GC Webinar Series

Stocked for Success: Essential GC Supplies That Keep You Running

Stay prepared with essential GC supplies. Explore critical consumables, gas traps, and detector supplies needed to prevent downtime and ease installation

Essential GC Supplies to Keep Your System Up and Running

<p><strong>Accurate determination of trace metallic impurities in high purity titanium is essential for advanced materials applications, including semiconductor and aerospace manufacturing, where impurity levels directly influence performance and reliability. In this study, triple quadrupole Inductively Coupled Plasma Mass Spectrometry (ICP-QQQ) system equipped with a collision/reaction cell (CRC) was evaluated for the analysis of impurity elements in a high titanium matrix.</strong></p><blockquote><p><strong>Presenter:</strong> Bastian Georg (Atomic Spectroscopy Application Scientist, Agilent Technologies, Inc.)</p><p>He has been an Atomic Spectroscopy (ICP-MS) Application Scientist with Agilent since June 2018. Bastian holds a MSc degree in Geology from the University of Munster, Germany, and a Dr. of Science degree in Geochemistry from ETH Zurich in Switzerland. After completing a 3-yr Postdoctoral Research term at the Earth Science Department at Oxford University, Bastian joined the Trent University Water Quality Centre, Peterborough, Canada, in 2010 as senior ICP-MS research scientist. Bastian’s research record of numerous peer-reviewed publications has been cited over 3000 times, and comprises research in environmental geochemistry, cosmochemistry, isotope geochemistry and trace-metal analyses</p></blockquote>

Agilent Technologies: Improving Resolution of Single Nanoparticles with Agilent 9500 ICP-MS

Improving Resolution of Single Nanoparticles with Agilent 9500 ICP-MS

Improve single nanoparticle analysis with the Agilent 9500 ICP-QQQ. Explore how 50 µs dwell times optimize resolution for Au, SiO2, and Pt sNPs

Single Nanoparticle Resolution: Agilent 9500 ICP-MS

<div><h4><strong>DAWN MALS for Proteins and Gene Therapy</strong></h4><p><strong>As biotherapeutics become increasingly complex, comprehensive characterization is essential for understanding critical quality attributes and ensuring product quality. Multi-Angle Light Scattering (MALS) is a powerful analytical technique that provides direct, absolute measurements of multiple molecular attributes in a single experiment, including molar mass, size, conformation, aggregation, and conjugation.</strong></p><h5><strong>Why you should attend</strong></h5><p>This webinar introduces the fundamentals of MALS and highlights its application to the characterization of biotherapeutics such as monoclonal antibodies (mAbs), antibody-drug conjugates (ADCs), protein conjugates, and adeno-associated viruses (AAVs).</p><p>Attendees will learn how coupling MALS with separation techniques such as SEC enables comprehensive molecular characterization without reliance on calibration standards or molecular assumptions. Through real-world examples, the webinar will demonstrate how MALS helps scientists gain deeper insight into molecular structure, composition, and heterogeneity throughout biotherapeutic development.</p><ul><li>Understand the principles of Multi-Angle Light Scattering (MALS)</li><li>Learn how MALS provides comprehensive characterization of biotherapeutics in a single analysis</li><li>Explore applications for determining molar mass, size, conformation, aggregation, and conjugation</li><li>Discover how MALS supports the development and characterization of mAbs, ADCs, protein conjugates, and AAVs</li></ul><h4><strong>Who should attend?</strong></h4><ul><li>Scientists, Analysts, and Lab Managers in Discovery, Development, Quality Control, or Analytical Services who characterize antibodies, ADCs, and other protein therapeutics.</li><li>CDMO, CRO and other testing organization who are interested in expanding their capabilities</li></ul><blockquote><p><strong>Presenter:&nbsp;</strong>Udayabagya (Bud) Halim (Sr. Product Marketing Analyst, Waters Corporation)</p><p>Bud Halimis a senior marketing analyst at Waters | Wyatt Technology with a PhD in physical chemistry from UCLA.</p><p>He began his career teaching biochemistry and chemistry and contributing to laboratory manuals before transitioning into the scientific instrumentation industry as an applications scientist.</p><p>At Waters, he supports researchers in the characterization of peptides, biologics, lipid nanoparticles (LNPs), and viral vectors.</p></blockquote></div>

Waters Corporation: Applications of Multi-Angle Light Scattering for Biotherapeutic Characterization

Applications of Multi-Angle Light Scattering for Biotherapeutic Characterization

Master biotherapeutic characterization with DAWN MALS. Learn how SEC-MALS delivers absolute molar mass and aggregation data for mAbs, ADCs, and AAVs

DAWN MALS for Biotherapeutic & Gene Therapy Analysis

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

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

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

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

Brain PET/MRI with Antibody Tracers: Kinetic Modeling

<p><strong>The objective of this webinar is to demonstrate how the ZenoTOF 8600 system enables advanced, reliable, and high-throughput analysis for food safety and environmental testing.</strong></p><h4><strong>Participants will gain an understanding of how to:</strong></h4><ul><li>Achieve ultra-sensitive quantitation and confident identification of contaminants in complex matrices</li><li>Apply high-resolution workflows for quantitation and screening applications</li><li>Improve data quality, throughput, and regulatory compliance in routine laboratories</li><li>Leverage the capabilities of the ZenoTOF 8600 system to address emerging analytical challenges such as trace-level contaminants, unknown screening, and large multi-residue panels</li></ul><h4><strong>Key learning points</strong></h4><p>Participants will learn how to:</p><ul><li>Leverage ZenoTOF 8600 system capabilities</li><li>Perform advanced screening and quantitation workflows</li><li>Optimize workflows for food and environmental samples</li><li>Improve data quality and confidence</li><li>Enhance laboratory productivity</li><li>Address emerging analytical challenges: Ultra-trace detection (ppt levels) and non-target screening, and retrospective data analysis</li></ul><h4><strong>Who should attend</strong></h4><p>This webinar is designed for professionals involved in food safety and environmental analysis, including:</p><ul><li>Analytical scientists and chemists</li><li>Working with LC-MS/MS or high-resolution MS in routine or research laboratories</li><li>Laboratory managers and supervisors</li><li>Looking to improve lab efficiency, throughput, and analytical capabilities</li><li>QA/QC professionals</li><li>Responsible for ensuring data quality, compliance, and regulatory standards</li><li>Food safety specialists</li><li>Involved in testing for pesticides, mycotoxins, veterinary drugs, and contaminants</li><li>Environmental analysts</li><li>Focused on monitoring PFAS, pharmaceuticals, pollutants, and emerging contaminants</li><li>Contract testing laboratories (CROs)</li><li>Seeking high-throughput, multi-residue screening capabilities</li><li>Researchers and method developers</li><li>Interested in advanced HRMS workflows and non-target screening.</li></ul><p><i>We will send you a recording of the event</i></p><blockquote><p><strong>Speaker: </strong>Dr. Jianru Stahl-Zeng (Senior Market Development Manager, SCIEX)</p><p>Jianru has been part of SCIEX since 2001. She initially was part of the application support team and covered not only proteomics, but also small molecules applications. Jianru moved to technical marketing and focused on food and environmental applications. Since 2018 she has been managing the EMEA technical marketing team and projects. Jianru is also the Global Technical Leader for food and environmental applications. On January 2026, she took the role of Senior Market Development Manager, FEF, EMEAI.</p></blockquote>

SCIEX: Tackling emerging contaminants in food and water using the ZenoTOF 8600 system

Tackling emerging contaminants in food and water using the ZenoTOF 8600 system

Master emerging contaminant analysis in food and water. Discover how the SCIEX ZenoTOF 8600 delivers ppt sensitivity, screening, and high throughput.

SCIEX ZenoTOF 8600: Emerging Contaminants in Food & Water

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div><blockquote><p><strong>Missed the International Symposium on Chromatography 2026? Explore our posters and talks now.</strong></p></blockquote><h4><strong>Affinity titer analysis for scalable mAb and bispecific production</strong></h4><p><strong>Join this webinar to learn how Protein A affinity chromatography can be combined with SCX or SEC in an HPLC workflow to measure antibody titer while also monitoring key product quality attributes, including charge variants and aggregation.</strong></p><p>Based on recent poster data from ISC 2026, this session will show how integrated analytics can provide faster, data-driven feedback during mAb and bispecific process development—helping teams optimize productivity without compromising product quality.</p><h5><strong>What you will l</strong></h5><ul><li>How Protein A HPLC enables rapid, selective antibody titer monitoring from bioreactor samples</li><li><span>How HPLC can connect titer analysis</span></li><li>Why acidic variants and high molecular weight species should be monitored during culture progression</li><li>How integrated CQA monitoring can support process optimization, consistency, and compliance</li></ul><h5><strong>Who should attend</strong></h5><p>This webinar is ideal for scientists and teams working in:</p><ul><li>Upstream process development</li><li>Analytical development</li><li>Biologics QC</li><li>mAb and bispecific production</li><li>CMC and process characterization</li></ul><p><i>If you are unable to attend the live webinar, please register to automatically receive a link to the on-demand recording.&nbsp;</i></p><blockquote><p><strong>Presenter: </strong>Robert van Ling (Technical Sales Specialist Chromatography Columns &amp; Consumables, Thermo Fisher Scientific)</p><p>Robert van Ling is an experienced technical sales specialist and business developer with over 25 years of expertise in protein, peptide, and RNA chromatography, LC/MS workflows, and product marketing. Currently based in the Netherlands, he has a strong background in supporting and commercializing high-performance systems for the biopharma and omics research communities.</p></blockquote></div></div></div>

Thermo Fisher Scientific: Scalable HPLC workflows for linking antibody productivity, titer, and CQAs

Scalable HPLC workflows for linking antibody productivity, titer, and CQAs

Streamline mAb and bispecific process development with scalable HPLC workflows. Combine Protein A, SEC, and SCX to monitor titer and critical quality attributes

Scalable HPLC Workflows for Antibody Titer and CQA Analysis

<h4><strong>Every LC/MS laboratory faces critical decisions. Are you making the right ones?</strong></h4><p><strong>Choosing an LC/MS system is more than selecting an instrument. It is about building a strategy that supports your analytical goals today — and scales for tomorrow.</strong></p><p>Join Agilent experts for: LC/MS Decisions That Matter: From Selection to Scale</p><p>A <strong>5-part webinar series</strong> designed to help scientists, laboratory managers, and decision-makers navigate the choices that impact:&nbsp;</p><ul><li>Analytical confidence&nbsp;</li><li>Laboratory productivity&nbsp;</li><li>Workflow scalability&nbsp;</li><li>Data quality&nbsp;</li><li>Instrument performance</li></ul><p>Over 5 weeks, we will explore the most important LC/MS decisions — from selecting the right technology to optimizing long-term performance.</p><p>Make better LC/MS decisions. Build a stronger analytical future.&nbsp;</p><h5><strong>Part 5: Keeping LC/MS at Peak Performance: Maintenance and Best Practices from Solvent to Signal</strong></h5><blockquote><p><strong>Presenter:</strong> TBA</p></blockquote>

Agilent Technologies: LC/MS Decisions That Matter

Keeping LC/MS at Peak Performance: Maintenance and Best Practices from Solvent to Signal

LC/MS maintenance and best practices from solvent to signal to support reliable performance, minimize downtime, and maintain consistent analytical results.

Maintenance and Best Practices from Solvent to Signal

<p><strong>Join Agilent and leading researchers as they share how they're navigating complex biology, exploring new scientific galaxies, and charting pathways to breakthrough therapies. From unlocking cellular mysteries to uncovering molecular insights, discover how today's innovations are helping propel research toward its next giant leap.</strong></p><p>All attendees with be automatically entered into a drawing to win a FREE Tablet!</p><h4><strong>Part 3: Functional ADC Safety Profiling with iPSC-Derived Human Tissues</strong></h4><p>Antibody–drug conjugates (ADCs) are a rapidly expanding class of targeted therapeutics, yet clinical development is frequently limited by dose-limiting and off-target toxicities. Traditional preclinical models often lack human relevance and fail to predict tissue-specific safety liabilities. There is increasing regulatory and scientific interest in New Approach Methodologies (NAMs) that leverage human-based systems to improve translational predictivity. Here, we describe a fully human, induced pluripotent stem cell (iPSC)-derived multi-tissue platform for functional safety profiling of biologics. A panel of seven physiologically relevant human iPSC-derived tissues was selected based on in silico analysis of epidermal growth factor receptor (EGFR) expression across human organs. Cytotoxicity was assessed using real-time, label-free impedance measurements, enabling dynamic evaluation of tissue-specific responses.&nbsp;</p><p>The platform was evaluated using cetuximab–monomethyl auristatin E (MMAE) as a model ADC. At supratherapeutic exposure (100 µg/mL), cetuximab-MMAE induced pronounced cytotoxicity in melanocytes, with moderate effects in lung and liver models and minimal effects in cardiac, central nervous system, vascular, and intestinal tissues. At clinically relevant exposure (1 µg/mL), toxicity was largely attenuated, with only low residual sensitivity in melanocytes. These dose-dependent responses align with EGFR expression patterns and recapitulate the known clinical safety profile of cetuximab. This iPSC-derived multi-tissue platform represents a NAM-aligned approach for mechanistically relevant safety assessment of ADCs. It enables early identification of on-target/off-tumor liabilities and supports improved translational confidence in preclinical decision-making.</p><blockquote><p><strong>Presenter:</strong> Sanne Holt, Ph.D. (Associate Director Immuno-Oncology, Ncardia Services B.V.)</p><p>With over 10 years of experience in immuno-oncology and translational research, Sanne specializes in advancing large molecules and cell therapies from early discovery to IND-enabling studies. At Ncardia, she manages a scientific team and drives innovation in efficacy and safety testing of novel drug therapies on human iPSC-derived cell models.</p><p>Previously, she held leadership roles at Merus N.V. and Charles River Laboratories, where she managed cross-functional teams and delivered impactful research solutions. She holds a PhD from King’s College London and is passionate about supporting the translation of cutting-edge science into real-world therapies.</p></blockquote>

Agilent Technologies: To Discovery and Beyond Webinar Series

Functional ADC Safety Profiling with iPSC-Derived Human Tissues

Explore iPSC-derived human tissue models for functional ADC safety profiling, tissue-specific toxicity assessment, and improved preclinical decision-making.

ADC Safety Profiling with iPSC-Derived Human Tissues

<p><strong>Join Agilent and leading researchers as they share how they're navigating complex biology, exploring new scientific galaxies, and charting pathways to breakthrough therapies. From unlocking cellular mysteries to uncovering molecular insights, discover how today's innovations are helping propel research toward its next giant leap.</strong></p><p>All attendees with be automatically entered into a drawing to win a FREE Tablet!</p><h4><strong>Part 4: Armor CAR T Cells with Enhanced Potency for Cancer Immunotherapy</strong></h4><p>The success of CAR T cell immunotherapy depends on the differentiation status and metabolic fitness of the CAR T cell product. Our research challenges conventional CAR T cell therapy protocols by demonstrating that functional CAR T cells can be rapidly generated within 24 hours without the need for activation or ex vivo expansion, preserving their maximal fitness. By harnessing the intrinsic stemness of non-activated CAR T cells and co-expressing specific cytokines to enhance anti-tumor efficacy, we aim to elevate metabolic and effector functions, thereby improving long-term persistence and therapeutic impact. These findings offer promising avenues to enhance the efficacy and accessibility of CAR T cell therapy for cancer patients.</p><blockquote><p><strong>Presenter:</strong> Saba Ghassemi, PhD (Assistant professor, Center for Cellular Immunotherapies, University of Pennsylvania)</p></blockquote>

Armor CAR T Cells with Enhanced Potency for Cancer Immunotherapy

Explore next-generation CAR T cell strategies using rapid manufacturing and cytokine co-expression to improve fitness, persistence, and anti-tumor efficacy.

Armor CAR T Cells for Cancer Immunotherapy

<p><strong>A single analytical technique rarely tells the whole story. For scientists working with GLP-1 analogs, building a complete impurity profile can be challenging, particularly when relying on one source of analytical information alone. Combining complementary datasets can provide deeper insight into impurity composition, helping teams make more confident decisions throughout development and quality control.</strong></p><p>In this SelectScience® webinar, join Dr. Duanduan Han, Senior Scientist at Waters Corporation as she explores how LC-UV/MS workflows can provide complementary analytical insights for comprehensive impurity profiling. Learn how combining ultraviolet (UV) and mass spectrometry (MS) detection can enhance impurity detection and characterization while supporting robust, reliable analytical methods.</p><p>Dr. Han’s expertise spans LC-MS method development, impurity profiling, and raw material screening for GLP-1 therapeutics and other biopharmaceutical modalities. She will share practical strategies for improving confidence in impurity profiles and generating high-quality data to support GLP-1 development and quality control</p><h5><strong>Certificate of attendance</strong></h5><ul><li>If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.</li><li>If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.</li></ul><h5><strong>Webinar details</strong></h5><ul><li><strong>Cost:</strong> Free to attend</li><li><strong>Location:</strong> Online</li><li><strong>Duration:</strong> 60 minutes</li></ul><p><i>Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.</i></p><h4><strong>Who should attend?</strong></h4><p>This event is perfect for individuals in:</p><ul><li>Analytical development, LC-MS, CMC, and QC scientists working in pharmaceutical and biotechnology organizations developing or manufacturing GLP-1 and other therapeutic peptides.</li></ul><h4><strong>What will this webinar cover?</strong></h4><ul><li>How to leverage orthogonal mass information to detect impurities that may be overlooked by UV-based detection and gain data-driven insights on forced degradation impurities</li><li>How to apply multiple separation modes (RPLC and HILIC) to utilize complementary selectivity to increase confidence in impurity resolution and raw material screening</li><li>How to accelerate informed decision-making through LC-UV/MS workflow to streamline impurity profiling and monitoring and enhance laboratory productivity</li></ul><p><strong>Join the webinar to get answers to these questions:</strong></p><ul><li>How can orthogonal mass information reveal GLP-1 impurities missed by UV-only detection?</li><li>How do RPLC and HILIC provide complementary selectivity for impurity resolution?</li><li>What LC-UV/MS workflows best support comprehensive impurity profiling?</li><li>How can LC-UV/MS data improve forced degradation and raw material screening decisions?</li><li>How does integrating UV and MS detection enhance productivity and method robustness in GLP-1 analysis?</li></ul><blockquote><p><strong>Presenter: </strong>Duanduan Han, Ph.D. (Senior Scientist, Waters Corporation)</p><p>Dr. Duanduan Han is a Senior Scientist at Waters Corporation in Milford, MA. She specializes in LC–MS method development and troubleshooting, impurity profiling, and raw material screening for biopharmaceutical products and new modalities, including GLP 1 therapeutics, lipid nanoparticles, oligonucleotides, surfactants, and monoclonal antibodies.</p></blockquote><blockquote><p><strong>Moderator: </strong>Olivia Long (Editorial Team, SelectScience)</p></blockquote>

SelectScience: What LC‑UV/MS can reveal about GLP‑1 impurities

What LC‑UV/MS can reveal about GLP‑1 impurities

Enhance GLP-1 impurity profiling using Waters LC-UV/MS workflows. Combine RPLC, HILIC, and MS detection to reveal hidden impurities in peptide QC