<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 31st August 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>, <strong>Shimadzu, Thermo Fisher Scientific </strong>and poster by<strong> MDCW / Liège University!</strong></p><h3><strong>1. Agilent Technologies: Extend the time window for the detection of low level anabolic‑androgenic steroids and their metabolites</strong></h3><p><strong>Steroid profiling, screening, and confirmatory analysis using the </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=7010"><strong>Agilent&nbsp;7010 GC/MS mass spectrometer</strong></a></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/5991_9045_EN_Doping_Control_App_Note_1_13dde5f053.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>Doping laboratories want to have lower detection limits to be able to identify and quantitate illegal drugs for a longer time window between doping and urine sample collection. This Application Note describes how the doping control lab in Kreischa, Germany used the Agilent 7010 Triple Quadrupole GC/MS System (TQ) for enhanced targeted detection of anabolic‑androgenic steroids in urine samples. The 7010 TQ enabled higher sensitivity, longer maintenance-free intervals, and more stable operation than earlier models, and satisfied all measurement specifications required by the World Anti‑Doping Agency (WADA). The 7010 TQ GC/MS ion source produces more ions, and provides exceptional sensitivity for the detection of low intensity metabolites weeks after drug ingestion. However, this higher sensitivity may lead to saturation of endogenous components naturally present at higher concentrations. This method provides a sensitive and robust operation over a wide concentration range, permitting the detection of low-concentration exogenous species in the presence of high‑concentration endogenous species, which can vary with ethnicity.</p><h4><strong>Experimental</strong></h4><p>The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=7010"><strong>Agilent 7010 GC/TQ system</strong></a> consists of an <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=7890"><strong>Agilent 7890 GC</strong></a> with multimode inlet and backflush, an<strong> Agilent 7993A</strong>, and the Agilent 7010 TQ mass spectrometer.</p><h4><strong>Conclusions&nbsp;</strong></h4><p>Based on the method optimization and thorough testing at the Kreischa lab, an Agilent 7010 GC/MS-based protocol was developed. This protocol fulfills the screening and confirmation requirements of steroid measurements in doping control labs. With this method, it is possible to detect traces of exogenous anabolic steroid metabolites while quantifying small concentrations of testosterone and epitestosterone typical in Asian populations. It permits the measurement of high‑abundance endogenous steroids such as androsterone and etiocholanolone in the same injection, while analyzing testosterone/epitestosterone and androsterone/etiocholanolone ratios without suppression.&nbsp;</p><p>The backflush capability of the system protects the analytical column, and consequently the mass spectrometer, by removing heavy matrix components. This allowed more than 6,000 samples to be analyzed on the same column without requiring ion source cleaning or filament change. It also demonstrated that the higher, 130&nbsp;eV electron energy did not sacrifice the filament lifetime. It performed reliable measurements of both trace (0.2&nbsp;pg on‑column) and high (10,000&nbsp;pg on‑column) concentration analytes in the same run.&nbsp;</p><p>The method validation revealed that the exceptional sensitivity offered by the 7010 GC/MS can be used to:&nbsp;</p><ul><li>Improve the trace detection ability of the method&nbsp;</li><li>Reduce the amount of sample&nbsp;injected&nbsp;</li><li>Extend maintenance-free intervals</li></ul><h3><strong>2. MDCW / Liège University: The Century Mix: updates and cool projects</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/DG_1_Dimandja_Stefanuto_34c4a66c3d.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>The presentation <strong>“The Century Mix: updates and cool projects”</strong> introduces the Century Mix, a standardized reference mixture developed for comprehensive two-dimensional gas chromatography (GC×GC). The mixture contains <strong>100 compounds representing a broad range of chemical classes</strong>, including alkanes, alcohols, ketones, esters, lactones, phthalates, and aromatic compounds. Stability was a key criterion in compound selection, and the mixture was developed through cross-laboratory collaboration for <strong>column characterization, method assessment, and quality control</strong>. Its structured chromatographic behavior also makes it useful for studying how different compound classes behave in GC×GC separations.</p><p>A major part of the work examined the <strong>factors influencing retention indices (RI) in GC×GC systems</strong>, which are important for reliable compound annotation in non-targeted analysis. An inter-laboratory study involved <strong>11 GC×GC systems</strong> using cryogenic, Peltier, and flow modulation, different detectors, and both normal and reversed column configurations. Principal component analysis showed clear grouping according to normal versus reversed orthogonality, confirming the strong influence of stationary-phase configuration. A subsequent design-of-experiments study evaluated <strong>140 combinations</strong> of temperature ramp rate, carrier-gas flow rate, modulation period, and secondary-oven temperature offset.</p><p>The results showed that the influence of experimental conditions is strongly <strong>compound dependent</strong>. Of the compounds evaluated in the statistical model, 33 showed RI variation that could be linked to the investigated parameters, whereas 43 did not follow the model well. Compounds such as quinoline, phthalates, lactones, terpenes, and some aromatic compounds showed particularly pronounced effects. For quinoline, for example, the model explained about <strong>93% of RI variability</strong>, with differences of approximately 75 RI units across the tested conditions, while 2-hexanone showed considerably weaker dependence. Overall, <strong>temperature ramp rate and flow rate emerged as particularly important parameters</strong>, although the magnitude of their effect depended on compound chemistry and column configuration.</p><p>The Century Mix is therefore being developed not only as a characterization mixture but also as a tool for <strong>system quality control and more reliable retention-index prediction</strong>. Repeated standardized QC measurements demonstrated very low RI variability and can be used to monitor system stability, experimental effects, and potential instrument drift. The broader goal is to better understand the fundamental chemistry governing GC×GC retention and ultimately improve method development, data processing, and identification of unknown compounds by combining high-quality separations, mass spectra, and predicted retention information.</p><h3><strong>3. Shimadzu: Determination of Free and Total Glycerol and Mono-, Di-, and Triglyceride Contents in Biodiesel According to EN 14105</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_05_sca_180_055_en_9b8677ed6a.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User benefits</strong></h4><ul><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=2060"><strong>Nexis GC-2060</strong></a> offers reliable analysis of biodiesel samples regarding their free and total glycerol and mono-, di-, and triglyceride contents, using hydrogen as a cost-effective carrier gas&nbsp;</li><li>Hydrogen carrier gas can be used safely through built-in safety measures</li><li>The multi-mode injection unit (MMI) allows selection of the preferred injection mode – direct (simple OCI) or convenient splitless PTV mode – both delivering excellent instrument performance in line with the standard’s requirements</li></ul><p>Playing a vital part in countries’ efforts to lower greenhouse gas emissions, biofuels can be manufactured from various feedstocks such as vegetable oils, animal-derived fats, and recycled cooking oils. Biodiesel production predominantly uses rapeseed, soybean, and palm oils. Because feedstocks are so varied, ongoing quality monitoring is essential - since the raw material’s quality greatly influencesthe final biodiesel quality.&nbsp;</p><p>The EN 14105:2024 describes the determination of free and total glycerol contents and mono-, di-, and triglyceride contents in biodiesel by means of gas chromatography with flame ionization detection (GC-FID). Injection shall be performed via on-column injector or an equivalent device<sup>1</sup>.&nbsp;</p><p>This study shows the analysis of biodiesel originating from rapeseed, soybean, and palm oil using the Nexis GC-2060 gas chromatograph and its multi-mode injection unit (MMI).</p><h4><strong>Configuration and Analysis Conditions</strong></h4><p>Gas chromatograph <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=2060"><strong>Nexis GC-2060</strong></a> with multi-mode injection unit (MMI), flame-ionization detector (FID) and autosampler <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=AOC+-30i"><strong>AOC -30i</strong></a>.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>Nexis and AOC are trademarks of Shimadzu Corporation or its affiliated companies in Japan and/or other countries.. Nexis GC-2060 provides reliable analysis of biodiesel samples for glycerol and glyceride contents according to EN 14105:2024 across the commonly used feedstocks. It supports hydrogen as a cost-effective carrier gas, while the multi-mode injection unit (MMI) offers selection of the injection mode based on user preference: direct mode representing simple on-column (OCI) analysis or splitless programmed temperature vaporization (PTV) mode as a convenient alternative that delivers comparable performance.</p><h3><strong>4. Thermo Fisher Scientific: Streamlined static headspace GC–MS approach for detection of impurities in recycled PET</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_004458_gc_ms_impurities_recycled_pet_an004458_na_en_6cb2435671.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Polyethylene terephthalate (PET) is a widely used thermoplastic polymer valued for its strength, low weight, durability, and adaptability. Owing to these properties, it is extensively applied in packaging, textile fibers, and electronic components. PET is particularly suitable for recycling because it can be melted and reshaped multiple times with minimal loss of performance, and it is easily recognizable by the recycling code “1” (♳). The recycling of PET involves several stages, including collection, sorting, transport, processing, washing, pelletizing, and remanufacturing into new products [1]. However, during these steps, contaminants such as plasticizers, residual monomers, and degradation byproducts may be introduced.&nbsp;</p><p>The presence of such substances can pose potential risks to both environmental and human health, making the identification and characterization of contaminants in recycled PET essential for evaluating material quality and safety. Among the non-intentionally added substances (NIAS), benzene, acetaldehyde, and limonene are of particular relevance. Benzene is a recognized carcinogen and represents a serious health concern if present in PET. It may form as a degradation product of PET, with the reaction catalyzed by acidic compounds released at high temperatures by polymer impurities such as polyvinyl chloride (PVC). Poor temperature control or overheating can increase benzene formation as a degradation byproduct. Acetaldehyde, another degradation product of PET generated during bottle manufacturing, can alter the sensory properties of bottled beverages. Limonene, a flavor compound commonly present in soft drinks, may be absorbed into recycled PET and subsequently migrate into packaged beverages, potentially affecting product quality.&nbsp;</p><p>Gas chromatography coupled to headspace sampling is a fast and simple technique that enables the extraction of volatile and semivolatile compounds from solid and liquid samples without the need for time-consuming sample preparation.&nbsp;</p><p>In this study, headspace sampling coupled to single quadrupole mass spectrometry was used to assess the overall quantitative performance for analysis of acetaldehyde, benzene, and limonene in recycled PET packaging.&nbsp;</p><p>The capability of the Thermo Scientific™ ISQ™ 7610 single quadrupole GC–MS of combining the simultaneous acquisition of both single ion monitoring (SIM) and full scan (FS) allowed for sensitive targeted analysis as well as screening of unknown contaminants possibly present in recycled PET bottles.</p><h4><strong>Experimental&nbsp;</strong></h4><p>In all experiments, a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/64"><strong>TriPlus 500 HS autosampler</strong></a> was coupled to a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/486"><strong>Thermo Scientific™ TRACE™ 1610 Gas Chromatograph (GC)</strong></a>, configured with a Thermo Scientific™ iConnect™ Split/splitless Injector Module (iConnect-SSL), and connected to an <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/484"><strong>ISQ 7610 single quadrupole mass spectrometer</strong></a>.&nbsp;</p><p>The separation of the target analytes was achieved using a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1751"><strong>Thermo Scientific™ Trace GOLD™ TG-624 SILMS capillary column</strong></a>, 60 m x 0.25 mm x 1.4 µm (Part No. 26059-3330). This column provides a low to mid polarity phase with high thermal stability (maximum operating temperatures up to 320 °C) and high inertness, enabling Gaussian peak shapes for analysis of volatile organics. The TriPlus 500 HS autosampler is connected directly to the analytical column, removing the use of a long external transfer line. In this configuration, the SSL injector module is used only for the pneumatic control of the carrier gas and split flow.</p><h4><strong>Conclusions&nbsp;</strong></h4><p>The results presented in this work demonstrate that headspace coupled to GC–MS provides a suitable and simple solution for analysis of contaminants in rPET, with no complex sample preparation required.&nbsp;</p><ul><li>The capability of combining FS with SIM acquisition allows for qualitative and quantitative analysis, increasing confidence in compound identification through spectral comparison with NIST library and allowing for the detection of possible analyte co-elution.&nbsp;</li><li>The TriPlus 500 HS autosampler provides highly repeatable solventless extraction from solid samples with absolute area counts RSD &lt; 5%, permitting reliable and consistent quantitative data.&nbsp;</li><li>The ISQ 7610 single quadrupole GC–MS demonstrates an extended linear response (≥ 4–5 orders of magnitude) with R2 ≥ 0.997, calculated amounts within ± 20% the expected value, and ion ratio deviation ≤ 15% across the calibration curve.&nbsp;</li><li>Sensitivity was demonstrated with overall calculated LOD ≤ 0.03 ng/µL.</li><li>Chromeleon CDS helps ensure data integrity, traceability, and effective data management from instrument control to the final report streamlining analysis and data review processes.</li></ul></div></div></div></div></div></div></section></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 36, 2026

News from LabRulezLCMS Library - Week 36, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 31st August 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 brochures by <strong>Agilent Technologies </strong>and<strong> Waters Corporation </strong>and application notes by <strong>Shimadzu </strong>and<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Agilent OpenLab ICP-MS Software</strong></h3><p><strong>Simplify every step of ICP-MS analysis</strong></p><p><strong>For Agilent </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=7800"><strong>7800</strong></a><strong>, </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=7850"><strong>7850</strong></a><strong>, and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=7900"><strong>7900</strong></a><strong> ICP-MS systems, and Agilent </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=8900"><strong>8900</strong></a><strong> and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>9500 ICP-QQQ</strong></a><strong> systems.</strong></p><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/br_openlab_icp_ms_software_5994_9288en_agilent_05f01dcdef.pdf"><strong>Full PDF for download</strong></a><strong>&nbsp;</strong></li></ul><p>The brochure introduces <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=OpenLab+ICP-MS+Software"><strong>Agilent OpenLab ICP-MS Software</strong></a>, designed to simplify routine operation and data handling for <strong>Agilent 7800, 7850, and 7900 ICP-MS systems</strong> and the <strong>8900</strong> and <strong>9500</strong> <strong>ICP-QQQ systems</strong>. The software supports the complete analytical workflow—from checking instrument readiness and creating batches to acquisition, data review, reporting, and compliance. A central dashboard provides an overview of system status, maintenance requirements, instrument health, and utilization, while Smart EMF and post-run performance checks help users identify when maintenance may be required. Guided Diagnostics, Meter Monitor, and time-stamped system records also support troubleshooting by tracking parameters such as vacuum levels, gas flows, and temperatures.</p><p>Method and batch setup are designed to reduce manual configuration. Batches can be created from preset methods, templates, existing batches, Method Wizard, or Method Advisor, and legacy Agilent ICP-MS MassHunter batches can be opened directly in OpenLab ICP-MS. For the <strong>9500 ICP-QQQ</strong>, Method Advisor provides an element-focused approach in which users select target elements and calibration information while the software applies recommended acquisition masses and cell-gas conditions. Preset methods are available for applications including <strong>EPA 200.8/EPA 6020, USP &lt;232&gt;, ICH Q3D, and Chinese Pharmacopoeia requirements</strong>, while an IntelliQuant Screening preset supports semiquantitative screening of unknown samples. Routine instrument tasks can also be automated through autotuning, startup checks, batch queues, end-of-run verification, rinse functions, and automatic shutdown.</p><p>For data evaluation, OpenLab ICP-MS provides a real-time workspace where users can review analyte concentrations, internal-standard recoveries, stability plots, spectra or chromatograms, calibration information, QC charts, and IntelliQuant results in a single view. <strong>IntelliQuant</strong> acquires a complete mass spectrum and displays semiquantitative elemental concentrations using a color-coded periodic table, while <strong>IntelliQuant Star Rating</strong> assigns a zero-to-five-star data-quality score based on factors such as potential interferences, calibration quality, background, detection limits, and precision. Reporting options include whole-batch reports, elemental impurity reports for USP &lt;232&gt;/&lt;233&gt; and ICH Q3D, customizable reports, structured CSV export, and direct data transfer to LIMS.</p><p>The software can be expanded for specialized applications, including <strong>LC-ICP-MS and GC-ICP-MS</strong>, advanced QC workflows, single-particle ICP-MS and FFF-ICP-MS, ADS 2 automation, semiconductor analysis, and peripheral-device control. Supported analytical approaches include external calibration, standard additions, semiquantitative calibration, isotope ratios, and isotope dilution. For regulated laboratories, OpenLab ICP-MS can be combined with scalable OpenLab compliance solutions providing electronic signatures, user access control, configurable roles, system activity logs, and audit trails, supporting workflows subject to <strong>21 CFR Part 11, EU Annex 11, and equivalent regulations</strong>. Overall, the platform is positioned as a unified environment for routine and advanced ICP-MS workflows, combining instrument control, method setup, diagnostics, data-quality assessment, reporting, and compliance support.</p><h3><strong>2. Shimadzu: Identification of Virgin PET and Recycled PET by X-ray Fluorescence Spectrometry</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_01_01204_en_f3f20ff020.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User benefits</strong></h5><ul><li>EDX enables the identification of recycled PET.&nbsp;</li><li>Measurements are quick and simple, require no cumbersome pretreatment, and can be automated using a multi-sample turret.&nbsp;</li><li>The instrument offers excellent cost-performance and supports the detection of a wide range of elements.</li></ul><p>Establishing a sustainable circular economy is a major societal challenge, and recycling plastic materials such as PET (polyethylene terephthalate) plays a particularly important role in reducing environmental impact. Large numbers of PET bottles and molded products are used every day in the food and beverage sectors. To recycle these materials safely and reliably, technologies are required that can accurately identify their origin. In practice, however, appearance and conventional physical properties alone are insufficient to distinguish virgin material from recycled material, creating a need for a more reliable identification method.&nbsp;</p><p>For rapid identification in industrial settings, a method requiring little or no pretreatment is highly desirable. In some cases, nondestructive analysis is also needed to enable subsequent application of other analytical techniques. This article presents a practical approach in which metal catalysts present in PET are detected by EDX (Energy-Dispersive X-ray Spectroscopy) and used to distinguish material-recycled PET from virgin PET.</p><h4><strong>Principle and Overview&nbsp;</strong></h4><p>Metal catalysts such as antimony (Sb) and germanium (Ge) are used in the synthesis of PET resin. These catalyst metals have been reported to be useful indicators of material origin. 1),2) For example, Sb and Ge are frequently detected together in material-recycled PET, whereas only one catalyst metal is detected in chemically recycled PET and virgin PET. This likely reflects the fact that material-recycled PET is derived from a mixture of feedstocks using different catalysts.&nbsp;</p><p>ICP-AES (ICP optical emission spectrometry) and ICP-MS (ICP mass spectrometry), which are commonly applied to catalyst metal analysis, provide high sensitivity and accuracy. However, they require pretreatment to convert the sample into a solution, thereby lengthening the analytical workflow. By contrast, EDX can measure solid samples directly, making it well-suited to applications requiring rapid results, such as incoming material inspection and in-line analysis in molding plants. Because EDX is non-destructive, it is also suitable for multimodal analytical workflows.&nbsp;</p><p>On the other hand, some commercially available handheld EDX instruments do not support elements such as Sb and Ge. At the same time, higher-end systems may not offer the specifications or price range needed for industrial deployment. The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=EDX-7200"><strong>EDX-7200</strong></a> supports a broad range of elements with excellent cost performance. This article describes the analysis of Sb and Ge in PET using this instrument.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>EDX enables rapid and straightforward elemental analysis without cumbersome sample pretreatment. Previous studies have shown that the presence of Sb and Ge can be used to identify recycled PET. Building on this concept, this article presents a practical analytical approach based on EDX. Using the EDX-7200, which combines broad elemental coverage with excellent cost performance, the proposed method provides a practical tool for rapid on-site identification, quality control, and traceability management. When combined with physical property data and other information, this approach is expected to contribute to the safety assessment and quality assurance of recycled materials, thereby supporting a more advanced circular economy.</p><h3><strong>3. Thermo Fisher Scientific: Optimizing lithium-ion battery recycling operations using handheld XRF analysis</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/lithium_ion_battery_recycling_handheld_xrf_analysis_an1120_en_4c00477b78.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The shift to a low-carbon economy and the adoption of electric vehicles will drive an exponential increase in the demand for lithium-ion batteries. As a corollary to this, the International Energy Agency expects the demand for some key commodities to increase significantly over the next two decades: the demand for Copper (Cu) is anticipated to increase by more than 40%; for nickel (Ni) and cobalt (Co), by 60-70% each; and for lithium (Li), by nearly 90%.¹ This will translate into increased mining activities and potentially generate larger amounts of deleterious waste.&nbsp;</p><p>To reduce the environmental impact and limit reliance on scarce commodities associated with economical and geopolitical implications, several countries have implemented regulations regarding producers’ responsibilities.² These regulations contain both incentives and accountability guidelines for lithium-ion battery and electric vehicles manufacturers. Their goal is to facilitate the emergence of a circular economy in which recycling will increasingly contribute to the supply of the strategic raw materials.&nbsp;</p><p>Lithium-ion batteries are made of multiple components, the most valuable being the cathode that contains between 40 and 70% ³, ⁴ of the total value of the battery, depending on its exact chemistry. As of 2023, lithium nickel cobalt manganese oxides (NCM) account for 66% of lithium-ion battery cathode active materials for electric vehicles, followed by lithium iron phosphates (LFP) which account for 24%, and lithium nickel cobalt aluminum oxide (NCA) accounts for the remaining 10%.³</p><h4><strong>Handheld X-ray Fluorescence Analysis&nbsp;</strong></h4><p>Handheld X-ray fluorescence analysis (HHXRF) is an elemental analysis technique that has proven to be cost-effective in recycling areas such as scrap metal and automotive catalytic converters. HHXRF can measure elements from magnesium (Mg) to uranium (U) in various types of materials such as metals and alloys; non-metallic inorganic materials such as ceramics; or ores or plastics. The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1993"><strong>Thermo Scientific™ Niton™ XL2</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1992"><strong>Thermo Scientific™ Niton™ XL5 Plus Handheld XRF Analyzers </strong></a>deliver accurate elemental analysis in real time, with little or no sample preparation, across multiple steps of the lithium-ion battery recycling workflow. Although handheld XRF does not detect lithium, it can measure most elements from the periodic table including nickel or cobalt which often command much higher value than the lithium in a lithium-ion battery.⁴</p><h4><strong>Conclusion&nbsp;</strong></h4><p>There is no ideal process to recycle lithium-ion batteries that simultaneously incorporates low environmental impact, high metal recovery yield, and economic viability. Because of the variety of technologies and materials used, recycling lithium-ion batteries is a complex journey with multiple possible paths. HHXRF helps recyclers by generating lab-quality data in real time, allowing them to optimize their processes and make fast decisions that generate significant benefits:&nbsp;</p><ul><li>Unwanted materials containing heavy metals such as lead or cadmium can be prevented from entering subsequent steps in the recycling workflow.&nbsp;</li><li>Materials can be accurately sorted and adequate processes for recovery selected depending on the material type (e.g., LFP vs. MCM).&nbsp;</li><li>The economic value of incoming and outgoing material can be more accurately estimated.</li></ul><h3><strong>4. Waters Corporation: Waters Aura Systems</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/720009268_7b9ad02cb4.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The presentation introduces the <strong>Waters Aura Systems</strong>, a family of high-throughput, fluidics-free instruments for the characterization and identification of visible and subvisible particles. All Aura platforms provide particle counting, identification, morphology assessment, and flexible sample volumes ranging from microliters to milliliters. The portfolio includes configurations tailored to different applications: <strong>AuraBMI</strong> for biologics particle analysis, <strong>Aura</strong> for particle analysis with identification, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2437"><strong>AuraPTx</strong></a> for protein formulation development, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2438"><strong>AuraGT</strong></a> for gene therapy, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2439"><strong>AuraCL</strong></a> for cell therapy, and <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2190"><strong>Aura+</strong></a> as the most comprehensive platform. The systems are designed for automation-ready operation, straightforward method transfer, and continuity from research through QC.</p><p>A key feature of the Aura platform is the combination of <strong>Backgrounded Membrane Imaging (BMI), Fluorescence Membrane Microscopy (FMM), and Side Illumination Membrane Imaging (SIMI)</strong>. BMI captures particles on a membrane and subtracts the membrane background to improve particle contrast, while FMM uses fluorescent dyes or conjugated antibodies to distinguish specific particle types. This enables differentiation of protein aggregates, cells, viral capsids, degraded excipients, plastics, fibers, and other contaminants that may look similar based on morphology alone. SIMI adds further information for identifying unlabeled inorganic particles such as glass, fibers, and Dynabeads. Together, these techniques provide more specific particle identification than morphology-based classification alone.</p><p>The systems are particularly suited to <strong>biologics, gene therapy, and cell therapy development</strong>. For gene therapy, Aura can evaluate AAV stability, distinguish capsid-related particles, and monitor DNA leakage using SYBR Gold fluorescence, with measurements possible from as little as <strong>5 µL of sample</strong>. For cell therapy, the system can differentiate single cells, cell aggregates, protein aggregates, and extrinsic particles. The platform also supports flexible sample volumes and 24- or 96-well membrane formats, allowing the same general approach to be used from sample-limited early development through larger-volume and QC workflows. The brochure reports excellent quantitative linearity across serial dilutions and emphasizes the ability to preserve sample for additional orthogonal analyses.</p><p>From a technical perspective, Aura Systems provide <strong>100% sampling efficiency</strong>, a particle detection and quantitation range above <strong>1 µm</strong>, and can handle concentrations above <strong>3,000,000 particles/mL</strong> for 1.6 µm particles. Brightfield membrane imaging takes approximately <strong>one minute per sample</strong>, while fluorescence measurements require about <strong>15–30 seconds per sample</strong>. The instruments are compatible with robotic automation and offer different fluorescence-channel configurations depending on the selected Aura model. Overall, the platform is positioned as a comprehensive solution for obtaining quantitative particle counts together with information on particle identity and composition across the development and quality-control lifecycle.</p>

News from LabRulezICPMS Library - Week 36, 2026

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Mestrelab Mnova ElViS software

By integrating Mnova ElViS into your analytical workflows, you can enhance the efficiency and accuracy of your spectroscopic data analysis across a wide range of techniques.

<h4><strong>Visualize, process, analyze and report various electronic and vibrational spectroscopic techniques</strong></h4><p>Carry out the analysis of various optical spectroscopy data including ultraviolet and visible (UV/Vis), near and mid infrared (NIR/MIR), Raman, fluorescence, and other spectroscopic methods operating in the whole region of wavelength from 100 nm to 100 µm.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li>Spectroscopic processing and analysis of ultraviolet and visible (UV/Vis), near and mid infrared (NIR/MIR), Raman, fluorescence methods.</li><li>Vendor and Operating System agnostic, supports most data file formats.</li><li>Wide range of processing functions, including a dynamic processing template.</li><li>Manual and automatic peak picking analysis.</li><li>Data Analysis of stacked/arrayed spectra.&nbsp;</li></ul><h4><strong>Features:</strong></h4><h5><strong data-start="1039" data-end="1108">PLS-Based Baseline Correction Tool (IarPLS)</strong></h5><p>To improve the processing of electronic and vibrational spectroscopy data, Mnova 15 introduces an enhanced PLS-based baseline correction tool, IarPLS (penalized-least-squares based). It now features an automatic button to compute the near-optimal asymmetry parameter.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_PLS_Based_Baseline_Correction_Tool_Iar_PLS_f3180f6927.webp" alt="Mestrelab Research: Mnova EIVis - PLS-Based Baseline Correction Tool (IarPLS)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_PLS_Based_Baseline_Correction_Tool_Iar_PLS_f3180f6927.webp 245w," sizes="100vw" width="1500" height="845"></p><h5><strong>Normalization Processing Modes</strong></h5><p>Three Normalization Processing modes, namely Largest Peak, Integral and Vector Length are available in Mnova 15. These three features aim to simplify the baseline correction process, streamline your workflow, and provide a rapid method for normalizing data to address quantitative issues.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Normalization_Processing_Modes_675cb7c407.webp" alt="Mestrelab Research: Mnova EIVis - Normalization Processing Modes" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Normalization_Processing_Modes_675cb7c407.webp 245w," sizes="100vw" width="1500" height="844"></p><h5><strong>Electronic and Vibrational Spectroscopies supported file formats</strong></h5><p>Mnova ElViS supports the most frequently used data file formats for these analytical techniques, including import and export of single and multi-column matrix-like spectra (i.e., ASCII XY and XYY, as .txt or .csv files). Supported formats include SPC (Galactic), JCAMP-DX, OPUS (Bruker), SPA and SPG (Omnic), Perkin Elmer's .sp files, and ASCII (XY and XYY).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Electronic_and_Vibrational_Spectroscopies_supported_file_formats_bb6afc3eab.webp" alt="Mestrelab Research: Mnova EIVis - Electronic and Vibrational Spectroscopies supported file formats" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Electronic_and_Vibrational_Spectroscopies_supported_file_formats_bb6afc3eab.webp 245w," sizes="100vw" width="1500" height="910"></p><h5><strong>Manual &amp; automatic spectral analysis</strong></h5><p>Mnova ElViS provides both manual and automatic peak picking, offering flexibility and convenience in your spectral analysis. It also features advanced tools for the analysis of stacked or arrayed spectra, ensuring thorough data evaluation and interpretation for all your spectral needs.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Manual_and_automatic_spectral_analysis_e24a19a151.webp" alt="Mestrelab Research: Mnova EIVis - Manual &amp; automatic spectral analysis" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Manual_and_automatic_spectral_analysis_e24a19a151.webp 240w," sizes="100vw" width="940" height="611"></p><h5><strong>Main processing features</strong></h5><p>Mnova ElViS comes with a range of useful processing features, including Multiplicative Scatter Correction, Probabilistic Quotient Normalization, Baseline correction (both automatic IarPLS and tailored Multipoint Baseline Correction), several smoothing techniques (such as Savitzky-Golay, Nonlocal Means, Exponential), normalization and Standard Normal Variate (SNV), derivatives, and units conversion between absorbance and transmittance.<br><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Main_processing_features_bc6eb64b99.webp" alt="Mestrelab Research: Mnova EIVis - Main processing features" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Main_processing_features_bc6eb64b99.webp 245w," sizes="100vw" width="1074" height="581"></p>

Thermo Scientific OMNIC Paradigm Software

Thermo Scientific OMNIC Paradigm Software streamlines FTIR data analysis with advanced spectral processing, automated workflows, secure data management, and an intuitive user interface.

<p><strong>Thermo Scientific™ OMNIC™ Paradigm Software is an intuitive FTIR data analysis solution that streamlines materials characterization and spectroscopy workflows. Featuring an updated user interface and dashboard, it provides easy navigation between instrument control, data management, and analytical workflows. Advanced spectral processing capabilities include Q-check, multi-component searching, and contamination analysis.</strong></p><h3><strong>OMNIC Paradigm Software benefits</strong></h3><ul><li>Modern Interface and navigation</li><li>Data security and retention</li><li>Agile management of large and complex data sets</li><li>Quick interpretation of challenging samples</li><li>Simple and rapid automated workflow development</li><li>Faster data collection</li><li>Partnership with Thermo Fisher Scientific experts</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_OMNIC_Paradigm_Software_2_a7d08a64a3.jpg" alt="Thermo Scientific OMNIC Paradigm Software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_OMNIC_Paradigm_Software_2_a7d08a64a3.jpg 245w," sizes="100vw" width="650" height="339"></p><h3><strong>OMNIC Paradigm Software features</strong></h3><p><strong>Data sets</strong><br>Manage larger data sets, create multiple maps within a single session, generate trend charts from multiple spectra, and support multi-instrument data management.</p><p><strong>Interpret samples</strong><br>Analyze multiple spectral regions using multiple thresholds, perform multi-component analysis, and carry out post-analysis of time-series data within OMNIC Paradigm.</p><p><strong>Interface</strong><br>Modern tab-based interface with intuitive navigation, right-click annotation tools, and streamlined access to data and analysis functions.</p><p><strong>Workflows</strong><br>Create and automate workflows (macros) for routine analyses with easy-to-read, customizable sequences.</p><p><strong>Data collection</strong><br>Reduce data acquisition time by up to 50% using Smart Backgrounds and quickly create mosaic images.</p><p><strong>Data security</strong><br>Integrated cybersecurity features, audit trails, version and change history, with support for 21 CFR Part 11 and GMP/GLP compliance.</p><p><strong>Partnership</strong><br>Includes access to Thermo Scientific partnership resources, macro conversion tools, and a software development kit (SDK) for workflow customization.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_OMNIC_Paradigm_Software_3_5001306d0a.jpg" alt="Thermo Scientific OMNIC Paradigm Software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_OMNIC_Paradigm_Software_3_5001306d0a.jpg 245w," sizes="100vw" width="650" height="338"></p><div><h3><strong>Instrument compatibility</strong></h3></div><div><div><div><div><ul><li>Nicolet RaptIR+ FTIR Microscope</li><li>Nicolet RaptIR FTIR Microscope</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products?category=218&amp;search=Summit"><strong>Nicolet Summit FTIR spectrometer family</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2452"><strong>Nicolet Apex FTIR Spectrometer</strong></a></li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_OMNIC_Paradigm_Software_191a492c54.jpg" alt="Thermo Scientific OMNIC Paradigm Software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_OMNIC_Paradigm_Software_191a492c54.jpg 245w," sizes="100vw" width="650" height="338"></p></div></div></div></div>

Thermo Scientific OMNIC Series Software

Thermo Scientific™ OMNIC™ Series Software extends the OMNIC™ Software Suite with advanced tools for acquiring, visualizing, processing, and analyzing data from time-based spectroscopy experiments.

<p><strong>Thermo Scientific™ OMNIC™ Series Software is part of the Thermo Scientific™ OMNIC™ Software Suite and provides advanced tools for time-based spectroscopy experiments, including data acquisition, visualization, processing, and analysis. It enables researchers to efficiently move from data collection to meaningful analytical results.</strong></p><p>The software supports a wide range of time-based spectroscopy applications, including <strong>TGA-IR, GC-IR, FT-IR, Surface Plasmon Resonance (SPR), and Raman kinetics studies</strong>. When used together with <strong>Thermo Scientific™ OMNIC™ Professional Software</strong>, it further extends data acquisition, processing, and analytical capabilities for demanding research applications.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_OMNIC_Series_Software_2_cf423eec55.jpg" alt="Thermo Scientific OMNIC Series Software" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_OMNIC_Series_Software_2_cf423eec55.jpg 173w," sizes="100vw" width="650" height="587"></p><h4><strong>Flexible Experiment Setup</strong></h4><ul><li>Configure standard time-based experiments, including GC-IR, TGA-IR, and kinetics measurements</li><li>Support for timed and event-triggered data acquisition</li><li>Flexible experiment configuration for complex analytical workflows</li></ul><h4><strong>Advanced Data Extraction</strong></h4><ul><li>Create multiple user-defined time profiles during acquisition or post-processing</li><li>Analyze data using Gram-Schmidt Reconstruction (GSR), chemigrams, peak area and peak height calculations</li><li>Compatible with <strong>Thermo Scientific™ TQ Analyst™ Software</strong> quantitation methods</li><li>Reveal hidden chemical information through configurable time profiles</li></ul><h4><strong>Powerful Data Visualization</strong></h4><ul><li>Specialized 2D and 3D visualization tools</li><li>Interactive data exploration for large time-series datasets</li><li>Detailed visualization of subtle molecular changes</li><li>Fully configurable display and analysis environment</li></ul><h4><strong>Comprehensive Data Analysis</strong></h4><ul><li>Integrated access to OMNIC™ Professional Software processing and analysis tools</li><li>Analyze complete time-series datasets or individual spectra</li><li>One-click spectral library searching for rapid material identification</li><li>Compatible with Thermo Scientific™ spectral library collections</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_OMNIC_Series_Software_3_78d4c3bf1c.jpg" alt="Thermo Scientific OMNIC Series Software " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_OMNIC_Series_Software_3_78d4c3bf1c.jpg 245w," sizes="100vw" width="650" height="412"></p><h4><span><strong>Supported Techniques</strong></span></h4><ul><li>TGA-IR</li><li>GC-IR</li><li>Time-resolved FT-IR spectroscopy</li><li>Raman kinetics</li><li>Surface Plasmon Resonance (SPR)</li><li>Time-series spectroscopy</li></ul>

Products from category FTIR software - page 1

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