<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 19th January 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, BaySpec and Metrohm!</strong></p><h3><strong>1. Agilent Technologies: Micro GC Analysis of Permanent Gas Impurities in PEM Fuel Cell-Grade Hydrogen</strong></h3><p><strong>According to SAE J2719, ISO 14687, EN 17124, and ISO 19880-8</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_micro_gc_analysis_gas_impurities_pem_fuel_5994_8830en_agilent_a5dca09e4b.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Quality requirements for hydrogen purity vary with application. Proton Exchange Membrane (PEM) fuel cell hydrogen is the application with the most stringent specification. Hydrogen purity specifications for other applications, i.e. residential or industrial use, typically allow for higher levels of specific&nbsp;contaminants.&nbsp;</p><p>For PEM fuel cell-grade hydrogen, there are several key methods regulating quality. Some methods may also cover other scopes, but where they pertain to PEM fuel cell-grade hydrogen, they align on specific requirements for purity level and limit concentrations of specific contaminants.&nbsp;</p><ul><li><strong>SAE J2719</strong> specifies hydrogen fuel quality requirements for PEM fuel cell vehicles, such as hydrogen-powered cars.&nbsp;</li><li><strong>ISO 14687</strong> specifies minimum quality characteristics of hydrogen fuel for various applications, including residential, commercial, industrial, stationary systems, and vehicular use.&nbsp;</li><li><strong>EN 17124</strong> specifies the quality characteristics of hydrogen fuel dispensed at hydrogen refueling stations for use in PEM fuel cell vehicle systems.</li><li><strong>ISO 19880-8</strong> specifies the quality of the gaseous hydrogen at hydrogen distribution facilities and hydrogen fueling stations for PEM fuel cells for road vehicles.&nbsp;</li></ul><p>Micro GC is a suitable choice of technique for covering analysis of permanent gases in ultra high purity (UHP) hydrogen (oxygen, nitrogen, argon, helium, and methane). The small internal volume of the MEMS-based µTCD in the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=990+Micro+GC"><strong>Agilent 990 Micro GC</strong></a> means that lower detection levels can be achieved when compared to regular TCDs, allowing for detection of contaminants in the single-digit ppm range. Note that ammonia, carbon monoxide, carbon dioxide, and formaldehyde can also be detected with Micro GC; however, additional/different columns might be required. Sensitivity requirements below 1 ppm may require alternate techniques.</p><h4><strong>Experimental&nbsp;</strong></h4><p>The method developed covers permanent gases defined in SAE J2719, and by default, also ISO 14687, ISO 19880‑8, and EN 17124. The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=990+Micro+GC"><strong>990 Micro GC</strong></a> system was set up similar to the method described in Agilent application note 5994‑2138EN.<sup>1</sup> A 20 m MS5A straight channel on hydrogen carrier gas was used. Table 2 lists experimental conditions for method development. A 20 m molsieve provides sufficient separation for the argon/oxygen peak pair at low-ppm concentrations.<sup>2</sup> For best results, the column was operated at a low temperature of 30 °C. Hydrogen was used as carrier gas to completely mask the bulk hydrogen matrix peak, resulting in separation of the helium and neon baseline<sup>3</sup> , while still allowing for a similar sensitivity as with the helium carrier. The hydrogen carrier allows helium (He), argon (Ar), oxygen (O<sub>2</sub>), nitrogen (N<sub>2</sub> ), methane (CH<sub>4</sub> ), and even neon (Ne) to be measured at their required levels. Carbon monoxide (CO) that elutes from the molsieve column is not part of the scope. SAE J2719 requires these to be measured at the sub-ppm level, which is too low for Micro GC. Table 3 lists the composition of calibration gas used. The system was calibrated using single‑point calibration.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The Agilent 990 Micro GC setup, described with a single 20&nbsp;m straight molsieve column running hydrogen carrier gas is capable of meeting the hydrogen quality requirement in SAE J2719 and other comparable UHP hydrogen methods for select permanent gases (He, Ar, O<sub>2</sub>, N<sub>2</sub>, CH<sub>4</sub> ). The critical component, oxygen, can reliably be measured below the required five ppm level. Precision and accuracy are excellent for all components, and with a short runtime of five&nbsp;minutes, this analytical option can deliver 10–12 runs per hour. Detection of other components listed in SAE J2719, i.e.&nbsp;ammonia or CO/CO<sub>2</sub> , will require different equipment.</p><h3><strong>2. BaySpec: Detecting Toxins on Cannabis Leaves with Portable Miniature Mass Spectrometer</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Bay_Spec_App_Note_Toxin_Detection_on_Cannabis_Leaves_with_Portability_Mass_Spectrometer_b15213c47e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Mass spectrometry in connection with different separa‐ tion techniques currently represents the main analytical approach for determination of residual pesticides in the Food &amp; Agriculture industry. Traditionally, samples need to be collected and sent to a laboratory for analysis using techniques such as GC‐MS or HPLC‐MS, which are costly and time‐consuming. In addition, the conventional mass spectrometer usually requires laborious sample pre‐ treatment, which does not allow for immediate in‐situ sample determination.</p><p>Presented in this application note are data from a ther‐ mal desorption electrospray ionization (TD‐ESI) or atmso‐ pheric pressure chemical ionization (APCI) source coupled to a portable mass spectrometer for toxin screening of cannabis leaves.&nbsp;&nbsp;</p><p>Bayspec’s <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2219"><strong>Portability mass spectrometer</strong></a> is less than 10 kg, highly portable, and battery‐operated.&nbsp;&nbsp;Its linear ion trap mass analyzer can perform fast in‐field detection of analytes, including residual toxins, by direct sampling of the surfaces of fresh food and plant products without any sample pre‐treatment.&nbsp;&nbsp;In this study, BaySpec’s sampling probe was used to directly swab the surface of cannabis leaves and inserted into the TD‐ESI or APCI sample inlet system for real time analysis. Four different samples were studied:&nbsp;</p><ul><li>Fresh cannabis leaves&nbsp;</li><li>Fresh cannabis leaves sprayed with PBO&nbsp;</li><li>Fresh cannabis leaves sprayed with myclobutanil&nbsp;</li><li>Fresh cannabis leaves sprayed with paraquat</li></ul><p>All sprayed samples were air‐dried prior to screening.&nbsp;&nbsp;No sample preparation was done to test the leaves.&nbsp;&nbsp;Both TD‐ ESI and APCI ionization methods tested positive for THC and toxins where applicable.&nbsp;&nbsp;See Figure 3 for recorded spectra.&nbsp;&nbsp;&nbsp;&nbsp;</p><p>Due to short analysis times (1‐5 seconds per sample), this technique allows for fast screening for applications in food and environmental safety. MS (as well as MS/MS) analyses can be performed on surface‐residual toxins at parts per billion levels.&nbsp; &nbsp; The TD‐ESI ion source with PortabilityTM miniature mass spectrometer is available from BaySpec.&nbsp; &nbsp;&nbsp;</p><p>This system does not require any add‐ itional support, external po‐ wer or gases. The simple in‐ tuitive software interface is operated by touch screen and makes the instrument ex‐ tremely easy to control. The external TD‐ESI source is fully integrated into the main software environment and the turn‐key system is user‐ friendly, does not require excessive training, and can be operated by persons with no previous mass spectrometry experiences</p><h3><strong>3. Metrohm: Monitoring phosphate reactions in real time with Raman spectroscopy</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_rs_054_download_d034c2ebb5.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>CURRENT METHODES FOR REACTION ANALYSIS</strong></h4><p>Titration is highly effective for quantifying phosphate and sulfate species to determine reaction completion and final product composition in fertilizers. Gravimetric analysis is used to quantify insoluble byproducts like gypsum (CaSO<sub>4</sub>·2H<sub>2</sub>O). Both techniques require sample collection, hazardous reagents, and manual processing – all of which introduce time delays and incur costs with every measurement. This Application Note describes how Raman spectroscopy was used as an alternative method to monitor a simplified phosphate fertilizer production process under laboratory conditions.&nbsp;</p><h4><strong>METHOD</strong></h4><p><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=220&amp;search=+i-Raman"><strong>Raman spectroscopy</strong></a> is well suited to monitor phosphate species due to its high selectivity and nondestructive nature. Furthermore, it can simultaneously detect sulfate ions, enabling real-time analysis of multi-component reaction systems. In this study, dicalcium phosphate (CaHPO<sub>4</sub>, hereafter referred to as DCP) is used as a model compound for phosphate rock. In a 100 mL beaker, 500 mg of DCP was dissolved in 10 mL of 0.5 mol/L hydrochloric acid (HCl) (Equation 1). To simulate industrial reaction conditions and introduce sulfate ions, 0.25 mL of 1.0 mol/L sulfuric acid (H<sub>2</sub>SO<sub>4</sub>) was then added. The use of low-concentration HCl ensures safe handling and facilitates clear identification of the sulfate (SO<sub>4</sub><sup>2−</sup>) Raman peak.</p><h4><strong>CONCLUSION</strong></h4><p>Raman spectroscopy proved to be an effective tool for monitoring a phosphate fertilizer production process, providing clear insights into phosphate speciation, sulfate concentration, and precipitation dynamics. Raman spectral changes revealed transitions in phosphate protonation states and the formation of calcium-based precipitates. These capabilities support enhanced process control and product quality in phosphate fertilizer manufacturing.</p>

News from LabRulezGCMS Library - Week 04, 2026

<p><strong>In the week of January 26, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><div><div><div><div><div><div><h5><strong>1. LECO: What You Don’t See – Beyond Routine Analysis with LC–GC×GC–TOFMS–FID</strong></h5><ul><li>Tu, 27.1.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5759">Registration</a></li></ul><p>Discover how GC×GC-TOFMS-FID workflows enable robust, routine MOSH/MOAH analysis by resolving interferences, avoiding false positives, and meeting evolving EU regulatory requirements.</p><h5><strong>2. Wasson-ECE Instrumentation: Methanizers for Trace CO and CO₂</strong></h5><ul><li>Tu, 27.1.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5742">Registration</a></li></ul><p>Learn how methanizers convert carbon oxides to methane for FID detection, enabling ppm-level quantification of CO and CO₂ in gas analysis.</p><h5><strong>3. Agilent Technologies: Measuring Diffuse Powders and Films With UV-VIS-NIR</strong></h5><ul><li>Tu, 27.1.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/3893">Registration</a></li></ul><p>We will discuss diffuse reflectance accessories (DRAs) and Agilent’s universal measurement accessory (UMA) for measuring the angular distribution of reflected light.</p><h5><strong>4. Thermo Fisher Scientific: Get More from Your Chromeleon Instrument Methods</strong></h5><ul><li>Th, 29.1.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5790">Registration</a></li></ul><p>Join this webinar to gain practical skills and expert tips for using Chromeleon CDS more effectively in daily analytical workflows.</p></div></div></div></div></div></div>

Webinars LabRulezGCMS Week 05/2026

Co-Evolution of Volatiles and Pyrolytic Residue during Lignin Pyrolysis

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 26th January 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 brochure by <strong>Agilent Technologies </strong>and application notes by<strong> BaySpec, Metrohm </strong>and<strong> Shimadzu!</strong></p><h3><strong>1. Agilent Technologies: Maintain Power Grid Integrity - Agilent transformer oil gas analyzers</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/br_toga_gc_analyzer_5994_8705en_agilent_82106c7de8.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Agilent transformer oil gas analyzers (TOGA) are designed to help utilities and service laboratories maintain power grid integrity by monitoring the condition of electrical transformers through dissolved gas analysis (DGA). Transformer oil degrades under electrical, thermal, and mechanical stress, generating characteristic gases whose composition and ratios provide early warning of developing faults. By reliably identifying and quantifying these gases, TOGA systems enable predictive maintenance, help prevent catastrophic transformer failures, and support informed asset management decisions.</p><p>The analyzers are built around the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890"><strong>Agilent 8890 gas chromatograph</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8697"><strong>8697 headspace sampler</strong></a> and are factory-configured, tested, and performance-verified for immediate deployment. They support ASTM D3612 methods A and C, offering flexible configurations for vacuum extraction or headspace sampling. Automated operation allows unattended analysis of up to 120 samples, while high-performance Agilent J&amp;W PLOT columns ensure excellent separation, reproducibility, and reliable detection of key fault gases such as hydrogen, carbon oxides, methane, ethylene, acetylene, and higher hydrocarbons.</p><p>Agilent TOGA systems are delivered as complete workflow solutions, minimizing method development time and accelerating system validation. Intelligent instrument diagnostics, microchannel-based electronic pneumatic control, and remote access capabilities improve reliability, uptime, and ease of operation. Integrated quality-control procedures—from factory testing through on-site installation—ensure consistent performance and traceability from day one.</p><p>Data acquisition, analysis, and reporting are supported by <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=OpenLab+CDS"><strong>OpenLab CDS</strong></a>, which provides a unified platform with high data integrity, streamlined workflows, and secure records management. Combined with Agilent’s extensive service, training, and support offerings, TOGA analyzers represent a robust, future-ready solution for dissolved gas analysis in transformer oil, helping protect critical energy infrastructure while reducing operational risk</p><h3><strong>2. BaySpec: Drug Screening using Compact Portable Device for Supervised Injection Sites</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Bay_Spec_App_Note_Drug_Screening_Using_Portable_Mass_Spectrometer_for_Supervised_Injection_Sites_5d1c131cec.pdf"><strong>Full PDF for download</strong></a></li></ul><p>In response to the rising epidemic, some governments have passed bills making supervised injection sites (SIS) a potential avenue for reducing the rate of drug overdoses. SISs are health care facilities where staff are trained to provide health education, support and connections to services as well as intervening in serious adverse events such as drug overdoses. They provide a safe, hygienic and non-judgement environment in which individuals may consume illicit drugs without fear of arrest.&nbsp;</p><p><strong>The benefits of SIS are to:&nbsp;</strong></p><p>(1) prevent an overdose from becoming fatal through quick intervention, (2) reduce the frequency of public injection and publicly discarded syringes, (3) increase access to health services including substance use treatment, and (4) change behaviors associated with acquiring HIV and hepatitis.&nbsp;</p><p><strong>The benefits of drug checking services within an SIS are:&nbsp;</strong></p><p>(1) it provides the consumer information about the contents of their drugs prior to consumption allowing them take steps to reduce their risk of overdose, (2) it identifies when a highly toxic substance may be in the local drug supply so advisories can be issued to local service agencies and first responders, (3) it encourages use of supervised injection services and the benefits mentioned above, and (4) it detects novel substances or drug combinations that may impact the consumer.&nbsp;</p><p>Initially approved by the Canadian federal government in 2017, the nation now has four official SISs in operation in Ottawa and four sites approved in Toronto. While most SISs are prepared to respond quickly to overdoses, a better practice is to screen drugs for harmful impurities prior to injection. Some SISs are taking such precautions by providing the option for clients to test their drugs prior to injection with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2219"><strong>BaySpec’s Portability Mass Spectrometer</strong></a>, a low maintenance, cost effective, portable instrument weighing only 20 pounds.</p><h3><strong>3. Metrohm: Assessment of chocolate with Raman spectroscopy</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_rs_052_download_a849b96c87.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>Rapid quality control of different chocolate types&nbsp;</strong></h4><p>Application Note AN-RS-052 In 2024, the global chocolate market was valued at approximately $131 billion USD. It is projected to reach approximately $173 billion by 2030, implying a steady growth rate of roughly 4% [1]. This growth is driven by sustained consumer demand and is expected to continue rising.&nbsp;</p><p>Spectroscopy is increasingly utilized in chocolate manufacturing for quality control (QC), thanks to its ability to assess the composition of chocolate, providing a «fingerprint» spectrum that reveals its chemical details. Specifically, Raman can be used in QC to distinguish between types of chocolate, detect adulteration, measure crystallization and texture, and monitor the manufacturing process.&nbsp;</p><p>This Application Note outlines techniques for effectively collecting Raman spectra from various chocolates, providing a foundation for quality assessment and adulteration detection.</p><h4><strong>METHOD&nbsp;</strong></h4><p>Raman data collection with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=220&amp;search=i-Raman+NxG+1064"><strong>i-Raman NxG 1064 </strong></a>laboratory Raman system (Figure 2) was optimized by adjusting integration time and laser power (Table 3) to determine the best conditions to maximize signal strength and minimize risk of sample melting.</p><p>All chocolate samples were analyzed by placing a piece of chocolate on the stage with a Raman probe securely locked above the sample (Figure 3). The optimal working distance was determined by adjusting the probe’s z-axis position while continuously monitoring the intensity of the Raman signal. Once the optimal focal distance is found, a distance regulator helps the operator position the probe on the sample to ensure consistent and reliable measurement.</p><h4><strong>CONCLUSION</strong></h4><p>This study highlights the capability of Raman spectroscopy for rapid, nondestructive measurements of chocolate quality indicators. PLS models demonstrate high predictive accuracy for both cocoarelated materials and sugar content. Increasing the number of samples and testing a broader range of chocolates would further improve the robustness and accuracy of the model. Overall, Raman spectroscopy, combined with chemometric modeling, offers a reliable QC method for routine and real-time chocolate analysis.</p><h3><strong>4. Shimadzu: Analysis of Acetaldehyde and Limonene in Recycled PET Using an HS-GCMS System (Carrier Gas: H2)</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00760_en_4ecf93333d.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>The gas released from the polymer can be easily measured without dissolving the polymer in a solvent, by using a headspace sampler (HS).&nbsp;</li><li>Using an HS-GC/MS system enables qualitative and quantitative analysis of target components in samples with a large number of contaminants that make it difficult to differentiate the targets from other components.&nbsp;</li><li>Analysis costs can be reduced by using hydrogen as a carrier gas, which is more affordable and readily available than helium</li></ul><p>Plastic is lightweight, strong, waterproof, and very convenient, making it an essential part of our modern lives. On the other hand, because it is a major contributor to environmental issues, such as ocean pollution and global warming, measures to reduce plastic usage are being undertaken in countries around the world. 1)&nbsp;</p><p>In Japan, the Plastic Resource Circulation Promotion Act2) came into effect in April 2022. The act does not regulate plastic but rather promotes the establishment of a sustainable circular economy by encouraging collaboration among businesses, local governments, and consumers throughout the overall process of designing, manufacturing, selling, collecting, and recycling plastic products.&nbsp;</p><p>One of these initiatives is the recycling of PET bottles for beverage use. When recycling beverage bottles, residual odors can be an issue, with substances like acetaldehyde from water bottles and limonene from citrus beverages known to persist in the containers. To address these residual substances, recycling companies are implementing unique strategies, one of which involves using gas chromatography-mass spectrometry (GC-MS) to quantify the residual materials. In this article, we present an example of qualitative and quantitative analysis of aldehydes and limonene in PET bottles using the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-QP2020+NX"><strong>GCMS-QP2020 NX</strong></a>/HS-20 NX, with hydrogen (H2) as the carrier gas.</p><h4><strong>Conclusion</strong></h4><p>By using hydrogen (H2) gas as the carrier gas, we were able to avoid the use of the hard-to-obtain helium gas. Additionally, by employing an HS-GC-MS system, we could qualitatively and quantitatively analyze acetaldehyde and limonene from PET without the need for cumbersome pretreatment.</p>

News from LabRulezGCMS Library - Week 05, 2026

<p><strong>In the week of February 2, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><div><div><div><div><div><div><h5><strong>1. Wasson-ECE Instrumentation: Micro-GCs – Introduction to and Use with Auto-samplers</strong></h5><ul><li>Tu, 3.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5743">Registration</a></li></ul><p>Learn how compact micro-GC systems integrate with automated sampling equipment to enable fast, efficient gas analysis.</p><h5><strong>2. Agilent Technologies: Smarter Allergen Profiling Starts Here – Differential Flow GC×GC and MS/FID Data Fusion</strong></h5><ul><li>Th, 5.2.2026 10:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5764">Registration</a></li></ul><p>Join us to explore how differential-flow GC×GC combined with MS/FID data fusion delivers enhanced analytical power, flexibility, and reliability for fragrance and allergen analysis.</p><h5><strong>3. SelectScience: Advancing Energy Storage with Spectroelectrochemistry</strong></h5><ul><li>Th, 5.2.2026 19:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5806">Registration</a></li></ul><p>Discover how combining electrochemistry with FTIR, Raman spectroscopy, and microscopy reveals electrode reactions and chemical homogeneity, accelerating research in batteries, fuel cells, and energy materials.</p></div></div></div></div></div></div>

Webinars LabRulezGCMS Week 06/2026

<p><strong>A highly sensitive and selective method was developed for quantifying nano- and microplastics (NMPs) in water, sediments, and biological tissues using pyrolysis gas chromatography coupled to triple quadrupole mass spectrometry. Dynamic multiple reaction monitoring and internal standard calibration enabled nanogram-level quantification of 12 common polymers following matrix-specific sample preparation.</strong></p><p>The method addressed matrix interferences through tailored cleanup strategies, signal enhancement with calcium carbonate, and correction of lipid-derived interferences for major polymers. Application to environmental samples from the Gulf of Mexico and the Texas coast demonstrated reliable detection of NMPs across diverse matrices, supporting high-throughput monitoring of plastic pollution.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05604"><strong>Rapid and Sensitive Quantification of Nano- and Microplastics in Water, Sediment, and Biological Tissue by Pyrolysis-Gas Chromatography Tandem Mass Spectrometry with Dynamic Reaction Monitoring</strong></a></h4><p>M. Bryan Gahn*, Marcus Wharton, Asif Mortuza, David Hala, Christopher D. Marshall, Karl Kaiser*</p><p>Anal. Chem. 2026, 98, 1, 633–641</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05604">https://doi.org/10.1021/acs.analchem.5c05604</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>Global plastic production has surged over the past half-century, rising from approximately 1.3 Mt in 1950 to approximately 359 Mt in 2018. <a href="javascript:void(0);">(1)</a> This increase has led to a growing concern regarding plastic pollution, particularly nano and microplastics (NMPs). Microplastics are generally defined as plastic particles with a maximum dimension of ≤ 5 mm, while nanoplastics typically range from 1 to 1000 nm in size. <a href="javascript:void(0);">(2)</a> NMPs encompass a wide variety of polymer particles that originate either from direct manufacture (e.g., microbeads and synthetic textiles) or from environmental degradation processes (e.g., photooxidation and mechanical abrasion) of larger plastic debris (i.e., macroplastics, &gt;5 mm). <a href="javascript:void(0);">(3)</a></p><p>NMPs are ubiquitous in the environment. They have been detected from Antarctic coast sediments to Arctic ice sheets, the summit of Mt. Everest to the depths of the Mariana Trench, and have been found in organisms across all trophic levels, including humans. <a href="javascript:void(0);">(4−10)</a> The pervasive presence of NMPs has raised significant ecological and human health concerns. NMPs can act as vectors for environmental pollutants. Hydrophobic organic contaminants (e.g., PCBs and PAHs) readily adsorb onto their surfaces, and plastics additives such as phthalates and flame retardants can leach into surrounding media (e.g., water, sediment, tissue). <a href="javascript:void(0);">(11)</a> Even without associated harmful chemicals, the physical presence of NMPs can lead to increased production of reactive oxygen species in cells, resulting in an inflammatory response. <a href="javascript:void(0);">(12)</a> Given the widespread NMP pollution and its complex ecological ramifications, there is a critical need for more robust high-throughput quantitative methods to accurately assess NMPs in diverse matrices.</p><p>Numerous analytical techniques have been employed for the detection and quantification of NMPs, which often combine traditional microscopy with advanced spectroscopic and molecular approaches. <a href="javascript:void(0);">(13)</a> These methods yield either estimates of particle counts or mass-based concentrations normalized to sample volume or weight. Prior to analysis, most methods require extensive chemical or enzymatic digestion and subsequent cleanup steps to isolate plastic particles and reduce matrix complexity. <a href="javascript:void(0);">(14,15)</a> Particle count-based methods encompass optical microscopy, laser diffraction particle size analysis, scanning electron microscopy, flow cytometry, and Fourier-transform infrared (FTIR) and Raman spectroscopy. <a href="javascript:void(0);">(16)</a> These methods provide quantitative estimates of particle abundance across the entire size spectrum of NMPs, and some can also differentiate between plastic types.</p><p>Thermal decomposition coupled with gas chromatography–mass spectrometry (GC-MS) is an increasingly utilized technique for the analysis of NMPs. <a href="javascript:void(0);">(17,18)</a> Pyrolysis-based methods thermally decompose plastic polymers in samples under oxygen-free conditions at temperatures exceeding 500 °C generating characteristic volatile fragments. These fragments are then separated by gas chromatography and detected by mass spectrometry with high sensitivity and specificity. As with other analytical techniques, pyrolysis-GC-MS (PyGC-MS) performance can be improved by incorporating sample cleanup steps prior to analysis to remove interfering organic and inorganic constituents. Matrix interference can often lead to misidentification of plastic polymer types and disrupt the pyrolysis process, ultimately compromising analytical accuracy and precision. <a href="javascript:void(0);">(19)</a> For example, lipids in biological tissues can yield similar combustion products to those of polyethylene (PE), polypropylene (PP), and nylon-66 (N-66). <a href="javascript:void(0);">(20)</a></p><p>Improvements that enable more reliable quantification of NMPs at ultralow concentrations by PyGC-MS include optimized sample treatment methodologies that include the addition of reactants to improve pyrolysis efficiency of plastic polymers, and the application of advanced mass spectrometric methods. Quantification of NMPs at trace levels is often constrained by the minimum weight limits of analytical balances, as calibration relies on the mass of particulate standards. This limitation has been addressed by using inert fillers, such as calcium carbonate (CaCO<sub>3</sub>) or clean quartz sand that are mixed with plastic standards to produce weighable calibration standards down to the nanogram level. While single-quadrupole mass detectors are widely used due to their simplicity and low cost, they offer limited sensitivity and are less sensitive in complex matrices. <a href="javascript:void(0);">(21)</a></p><p>The application of time-of-flight and orbitrap mass spectrometry, as well as modern triple-quadrupole mass detectors, promises improved sensitivity and specificity of NMP quantification in complex matrices. These highly selective detectors enable precise mass determination, reducing ambiguity in peak identification and enhancing the ability to differentiate plastics from natural organic matter commonly present in environmental samples. Time of flight and orbitrap mass spectrometers support untargeted screening and identification of emerging or unknown plastic-related compounds, while triple-quadrupole instruments excel in targeted quantification with high throughput and reproducibility, which are advantageous features for routine monitoring. <a href="javascript:void(0);">(22−24)</a> Compared to traditional methods such as FTIR or Raman spectroscopy, modern mass spectrometric approaches are better equipped to address the challenges posed by complex sample matrices, diverse plastic compositions, and trace-level concentrations, making them essential tools for future NMP analysis. <a href="javascript:void(0);">(25,26)</a></p><p>Here we present a novel analytical method for the identification and quantification of NMPs in diverse environmental matrices that include marine waters, sediments, and biological tissues by using pyrolysis gas chromatography coupled with triple quadrupole mass spectrometry (PyGC-qQq-MS). Depending on the sample matrix, NMPs were concentrated through filtration, extraction, or digestion prior to analysis. Gas chromatography with qQq-MS detection using dynamic multiple reaction monitoring (DMRM) mode with an internal standard yielded significantly improved selectivity and sensitivity, enabling accurate and precise quantification of plastic polymers. Method validation demonstrated the robust performance of the method across diverse sample types, with reliable detection of NMPs at amounts of 1–126 ng and in the presence of significant matrix interference.</p><h4><strong>Experimental Section</strong></h4><h5><strong>Pyrolysis GC/MS qQq-MS Analysis</strong></h5><p>Pyrolysis gas chromatography was carried out with a Frontier Auto-Shot AS-2020E sampler and an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=42&amp;search=EGA%2FPY-3030D"><strong>EGA/PY-3030D multishot pyrolyzer</strong></a> connected to an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890+gc"><strong>Agilent 8890 GC</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7010B"><strong>7010B qQq-MS</strong></a>. Prior to pyrolysis at 600 °C, GF/F with particulates from water samples or digested tissues were spiked with PFS, which served as an internal standard. Filters were then transferred to Frontier Eco Cups and topped with 5 mg of CaCO<sub>3</sub> and quartz wool to ensure proper packing. Redissolved sediment extracts were transferred directly into the Eco Cup LFs, dried under a gentle stream of N<sub>2</sub>, and packed with CaCO<sub>3</sub> and quartz wool.</p><h4><strong>Results and Discussion</strong></h4><h5><strong>Pyrograms</strong></h5><p>The method was optimized to yield characteristic pyrolytic products of plastic polymers that were well resolved on a Frontier Ultra Alloy 5 column with a linear temperature program. Pyrograms of surface water, vertebrate and invertebrate tissue, and sediment samples, alongside a standard plastic mixture are shown in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05604#fig3">Figure 3</a>. Pyrolysis temperature was optimized to ensure efficient volatilization of polymers, and specific product ions were chosen to minimize matrix influence that can generate pyrolysis products with similar mass spectra. For each polymer, precursor and product ions were selected to minimize interference from natural polymers and characteristic fragmentation reactions. For polymers that primarily undergo depolymerization (e.g., PE, PP, PS, PMMA), the selected precursor ions corresponded to characteristic oligomeric or monomeric pyrolysis products, and the quantifier ions were derived from simple bond cleavages or rearrangement reactions. For example, PS pyrolysis products included mono, di-, and trimeric units with different retention times. Mono- and dimeric fragments had retention times and mass spectra that overlapped with matrix peaks of similar mass ions, whereas the trimeric PS fragment eluted without interference from matrix components.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_1_633_641_Figure_3_Pyrograms_of_A_Calibration_standard_composed_of_homogenized_mixture_containing_12_plastics_of_interest_ee999a5a40.jpg" alt="Anal. Chem. 2026, 98, 1, 633–641: Figure 3. Pyrograms of (A) Calibration standard composed of homogenized mixture containing 12 plastics of interest; (B) Surface water samples collected in Galveston Bay (2019); (C) Mullet muscle tissue collected in Galveston Bay (2021); (D) Oyster tissue collected in Galveston Bay (2021); (E) Benthic sediment collected from Matagorda Bay (2023)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_1_633_641_Figure_3_Pyrograms_of_A_Calibration_standard_composed_of_homogenized_mixture_containing_12_plastics_of_interest_ee999a5a40.jpg 130w," sizes="100vw" width="1500" height="1798"></p><h5><strong>QqQ-MS Detection and Quantification</strong></h5><p>Optimal DMRM parameters for the detection of plastics were established using pure polymer standards (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05604#tbl1">Table 1</a>). Characteristic and abundant molecular precursor ions were identified for each plastic polymer and evaluated against natural polymers to minimize matrix interference. Fragmentation ions derived from these precursor ions were selected based on characteristic fragmentation reactions. The more abundant product ion was used for quantification, whereas the secondary ion was employed as the qualifier to monitor potential coelution with matrix compounds. Fragment losses usually corresponded to the loss of polymer subunits or dehydration reactions. Operating in DMRM mode improved sensitivity by maximizing acquisition time for each targeted analyte. Ratios of quantifier to qualifier ion (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05604/suppl_file/ac5c05604_si_001.pdf">Table S2</a>), together with retention times, ensured both compound identification and confirmation.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_1_633_641_Table_1_Plastic_Polymer_Abbreviations_d796d20f8b.jpg" alt="Anal. Chem. 2026, 98, 1, 633–641: Table 1. Plastic Polymer Abbreviations, Relative Retention Times (RRT), Characteristic Ions, and Limit of Detection (LOD)" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_1_633_641_Table_1_Plastic_Polymer_Abbreviations_d796d20f8b.jpg 213w," sizes="100vw" width="1073" height="784"></p><p>Quantification of plastics was based on internal standard calibration using PFS as the internal standard. PFS was dissolved in toluene and added to the sample prior to pyrolysis. The use of deuterated polystyrene as an internal standard was explored; however, extensive hydrogen–deuterium exchange occurred during pyrolysis, leading to pyrolysis products with variable D/H content. <a href="javascript:void(0);">(31)</a> Similarly, attempts to use brominated polystyrene were unsuccessful, as bromine was readily lost from the polymer chain during pyrolysis, resulting in products indistinguishable from those of PS and others.</p><p>Calibration at &lt;1 mg plastic mass was accomplished using plastic standards dispersed in CaCO<sub>3</sub>. The most consistent results were achieved with commercially available standard kits (e.g., Frontiers), which contain homogeneously distributed plastic polymers in CaCO<sub>3</sub>. Attempts to prepare homogeneous mixtures of plastic polymers in CaCO<sub>3</sub> by ball milling finely ground plastics with CaCO<sub>3</sub> yielded less consistent results than commercial standards.</p><h4><strong>Conclusion</strong></h4><p>This study developed and validated a robust analytical workflow for the detection and quantification of NMPs across a diverse range of environmental matrices. The method demonstrated high sample throughput, robust compensation of matrix interference, and high precision and accuracy. This was accomplished through efficient sample cleanup procedures, internal standard calibration, tandem mass spectrometry, and a correction for lipid interference in the detection of PE, PP, and N-66. The applicability of the method was demonstrated on marine surface waters, sediments and soils, and muscle tissue of fishes and oysters. Results revealed quantifiable concentrations of plastics in all sample types emphasizing the pervasive and persistent nature of plastics in the environment and their bioaccumulation potential across trophic levels. This method provides a critical tool for studying NMPs in the environment, ecological risks, and potential impacts on human health.</p>

Rapid and Sensitive Quantification of Nano- and Microplastics in Water, Sediment, and Biological Tissue by Pyrolysis-Gas Chromatography Tandem Mass Spectrometry with Dynamic Reaction Monitoring

News from LabRulezGCMS Library - Week 06, 2026

<p><strong>In the week of February 9, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><div><div><div><div><div><div><h5><strong>1. Thermo Fisher Scientific: Process Raman – A Reliable and Versatile Tool for Downstream Process Monitoring and Control for mAb Production</strong></h5><ul><li>Tu, 10.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5808">Registration</a></li></ul><p>The presentation highlights how process Raman spectroscopy offers several advantages over traditional in-line UV-Vis analysis for process monitoring and metabolite production control in mAb manufacturing.</p><h5><strong>2. Wasson-ECE Instrumentation: The Data Driven Plant – How AI Transforms Chemical Manufacturing</strong></h5><ul><li>Tu, 10.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5744">Registration</a></li></ul><p>Explore how artificial intelligence is applied to improve process efficiency, monitoring, and decision-making in modern chemical manufacturing.</p><h5><strong>3. New Food Magazine: The Science of Next-Gen Ingredients – Fermentation, Formulation and Function</strong></h5><ul><li>We, 11.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5720">Registration</a></li></ul><p>Discover how fermentation-driven innovation is transforming functional food ingredients, with analytical insights to optimize flavour, functionality, and product stability.</p></div></div></div></div></div></div>

Webinars LabRulezGCMS Week 07/2026

<p><strong>This study presents an analytical strategy combining QuEChERS extraction with low-temperature partitioning (LTP) for the determination of multiclass pesticide residues in cocoa beans by GC–MS. Extraction conditions were optimized using a fractional factorial design, resulting in a simple and efficient workflow suitable for complex cocoa matrices.</strong></p><p>The validated method showed satisfactory limits of detection and quantification, recoveries within 70–120%, and good overall performance. Application to cocoa samples from Brazil detected permethrin in several samples, demonstrating that the QuEChERS–LTP approach is an effective and reliable cleanup strategy for routine pesticide residue analysis in cocoa.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360"><strong>QuEChERS Combined with Low-Temperature Partitioning and GC–MS as an Analytical Strategy for the Determination of Multiclass Pesticide Residues in Cocoa Beans</strong></a></h4><p>Priscilla M. de Freitas Machado, Madson M. Nascimento, Paulo R. R. Mesquita, Manuela B. Nascimento, Lilian Lefol N. Guarieiro, Gisele O. da Rocha, Jailson B. de Andrade, Raildo M. de Jesus*</p><p>ACS Omega 2025, 10, 51, 63464–63473</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acsomega.5c10360">https://doi.org/10.1021/acsomega.5c10360</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>Cocoa is best known as the primary raw material for chocolate but is also processed into products such as cocoa butter, biscuits, cocoa honey, and cocoa powder. Cocoa powder is derived from roasted, pressed, and milled nibs, containing on average 20% (w/w) lipids on a dry basis and less than 9% moisture. <a href="javascript:void(0);">(3,4)</a></p><p>According to the Brazilian Health Regulatory Agency (ANVISA), pesticides such as atrazine, bifenthrin, cyproconazole, metalaxyl, tebuconazole, trifloxystrobin, and permethrin are approved for use in Brazil. <a href="javascript:void(0);">(13)</a> However, among these, only metalaxyl, trifloxystrobin, and tebuconazole are authorized by the European Union. <a href="javascript:void(0);">(14)</a> Thus, investigating these contaminants in cocoa samples is of utmost importance, as Brazil is one of the largest cocoa exporters, supplying cocoa commodities to South America, the United States, and the European Union. <a href="javascript:void(0);">(2)</a> Furthermore, Organochlorine pesticides, in particular, belong to the class of persistent organic pollutants (POPs). Although banned in many countries, they continue to be used in some developing nations because of their chemical stability, resistance to degradation, volatility, and high lipophilicity, which promote bioaccumulation and neurotoxicity. <a href="javascript:void(0);">(15)</a> Epidemiological evidence also associates their exposure with Parkinson’s disease, certain cancers, diabetes, and endometriosis. <a href="javascript:void(0);">(16)</a></p><p>Residues of pesticides in cocoa have been reported in various studies. <a href="javascript:void(0);">(17)</a> Analyzing pesticide residues in cocoa presents analytical challenges due to the matrix’s complexity, comprising high lipid content, fatty acids and esters, sugars, polyphenols, and caffeine. These components can interfere with extraction efficiency and contaminate analytical instrumentation. <a href="javascript:void(0);">(18)</a> Therefore, efficient sample preparation methods incorporating effective cleanup steps are essential for accurate residue determination.</p><p>Several techniques have been employed for multiresidue pesticide analysis in cocoa. For instance, Idowu et al. <a href="javascript:void(0);">(19)</a> quantified 14 organochlorines using Soxhlet extraction and silica/Na<sub>2</sub>SO<sub>4</sub> cleanup, with GC ECD detection. Okoffo et al. <a href="javascript:void(0);">(20)</a> determined 13 organophosphates and 9 pyrethroids employing SPE cartridges (Envi-carb/LC-NH<sub>2</sub> and Bond Elute C18), acetonitrile extraction, and GC PFPD or GC ECD quantification. Yusiasih et al. <a href="javascript:void(0);">(21)</a> applied dispersive SPE with PSA, Florisil, and MgSO<sub>4</sub> for pyrethroids, followed by GC ECD and GC–MS.</p><p>Therefore, this study aimed to evaluate the effectiveness of a QuEChERS–LTP analytical procedure for the determination of multiclass pesticide residues in cocoa beans. The factors that affect the QuEChERS–LTP procedure efficiency were optimized. After validation, the procedure was employed to investigate the occurrence of 15 multiclass pesticides in cocoa samples.</p><h4><strong>Experimental Section</strong></h4><h5><strong>Instrumental Apparatus</strong></h5><p>Pesticide separation and identification were performed on a Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GC-MS-QP2010SE"><strong>GC-MS-QP2010SE</strong></a> system (Kyoto, Japan) equipped with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=AOC-20i"><strong>AOC-20i autosampler</strong></a>. Separation was achieved using an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=DB-5MS"><strong>Agilent DB-5MS capillary column</strong></a> (30 m × 0.25 mm × 0.25 μm) with a stationary phase of 5% phenyl/95% dimethylpolysiloxane. The instrumental conditions were based on Nascimento et al. <a href="javascript:void(0);">(49)</a> and they are summarized in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#tbl4">Table 4</a>.</p><p>For quantification, the base peak was used, while two additional ions were monitored for confirmation (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsomega.5c10360/suppl_file/ao5c10360_si_001.pdf">Table S2</a>) in accordance with SANTE guidelines. <a href="javascript:void(0);">(50)</a> A GC–MS/SIM chromatogram illustrating the separation of all target pesticides is presented in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig5">Figure 5</a>.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Figure_5_Extracted_ion_chromatogram_EIC_in_SIM_mode_of_the_target_pesticides_f2461c14f4.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Figure 5. Extracted ion chromatogram (EIC) in SIM mode of the target pesticides obtained from the injection of a mixed standard solution at 100 μg L–1. Analytes are listed in order of elution: [1] Molinate (6.18 min); [2] α-HCH (8.15 min); [3] atrazine-d5 (8.69 min); [4] atrazine (8.75 min); [5] diazinon (9.31 min); [6] disulfoton (9.67 min); [7] dimethachlor (10.60 min); [8] metalaxyl (11.25 min); [9] p,p′-DDE (15.82 min); [10] cyproconazole I (16.50 min); [11] cyproconazole II (16.56 min); [12] p,p′-DDD (17.29 min); [13] ethion (17.34 min); [14] trifloxystrobin (18.43 min); [15] tebuconazole (19.13 min); [16] bifenthrin (20.47 min); [17] permethrin I (23.92 min); [18] permethrin II (24.18 min)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Figure_5_Extracted_ion_chromatogram_EIC_in_SIM_mode_of_the_target_pesticides_f2461c14f4.jpg 245w," sizes="100vw" width="2080" height="835"></p><h5><strong>Application of the Proposed Procedure to Real Samples</strong></h5><p>In a 50 mL Falcon tube, 2.0 g of sample was weighed using an analytical balance (AUX320, Shimadzu, Kyoto, Japan). A total of 2.0 g of salt (NaCl and Na<sub>2</sub>SO<sub>4</sub> in a 1:1 w/w ratio) was added, followed by an aliquot of the atrazine-<i>d</i><sub>5</sub> solution (surrogate standard) to yield a final concentration of 250 μg kg<sup>–1</sup>. A mixture of acetonitrile (8.0 mL) and ultrapure water (2.0 mL) was then added. The system was vortexed (K40-10208, Kasvi, São Paulo, Brazil) for 3.0 min at 2500 rpm and centrifuged (MPW-351R, MPW Med. Instruments, Warsaw, Poland) for 10.0 min at 15 °C and 10,000 rpm. After phase separation, approximately 6.0 mL of the supernatant was transferred to a Falcon tube containing 150.0 mg of PSA sorbent. The mixture was vortexed again for 3.0 min at 2500 rpm and centrifuged for an additional 10.0 min under the same conditions. The tubes were then placed in the freezer for 24 h. Once the aqueous phase had frozen, the organic extract containing the analytes was collected, filtered through a Cytiva Whatman MiniUniprep G2 vial with a 0.20 μm membrane filter (Marlborough, Massachusetts, USA), and injected into the GC–MS system (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig6">Figure 6</a>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Figure_6_Schematic_representation_of_the_extraction_procedure_using_the_Qu_E_Ch_ERS_LTP_procedure_for_pesticide_extraction_in_cocoa_powder_samples_ed58549bcf.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Figure 6. Schematic representation of the extraction procedure using the QuEChERS–LTP procedure for pesticide extraction in cocoa powder samples." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Figure_6_Schematic_representation_of_the_extraction_procedure_using_the_Qu_E_Ch_ERS_LTP_procedure_for_pesticide_extraction_in_cocoa_powder_samples_ed58549bcf.jpg 223w," sizes="100vw" width="1458" height="1022"></p><h4><strong>Results and Discussion</strong></h4><h5><strong>Evaluation of the Effect of Low and Ultralow Temperatures on the Analytical Response</strong></h5><p>Studies reporting the use of LTP generally employ a conventional freezer, which typically reaches −18 ± 2 °C as the minimum temperature. In this equipment, effective phase separation can require 8 to 24 h. <a href="javascript:void(0);">(35−37)</a> In contrast, ultralow temperature freezers (ultrafreezers) can reach −80 °C, leading to a substantial reduction in partitioning time. In this study, tests performed with the conventional freezer achieved satisfactory partitioning after 24 h, whereas in the ultrafreezer, complete partitioning was observed in only 20 min.</p><p>Considering the analytical response in terms of peak area (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig3">Figure 3</a>), higher signals were obtained when LTP was performed in a conventional freezer rather than an ultrafreezer. This behavior can be attributed to the partitioning mechanism. <a href="javascript:void(0);">(32)</a> Partitioning depends on cooling and the subsequent freezing of the aqueous phase. In the conventional freezer, the slower freezing rate provides sufficient time for the system to approach thermodynamic equilibrium, favoring analyte diffusion between phases. Under these conditions, analyte molecules have more time to migrate and distribute optimally before complete solidification. In contrast, the rapid freezing in the ultrafreezer may trap analytes in a nonideal distribution, reducing the efficiency of the partitioning process <a href="javascript:void(0);">(32)</a> (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig3">Figure 3</a>). According to these observations, the conventional freezer was selected for subsequent experiments.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Figure_3_Comparison_of_chromatographic_peak_areas_of_pesticides_after_partitioning_in_the_conventional_freezer_versus_the_ultrafreezer_9598bcfec3.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Figure 3. Comparison of chromatographic peak areas of pesticides after partitioning in the conventional freezer versus the ultrafreezer." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Figure_3_Comparison_of_chromatographic_peak_areas_of_pesticides_after_partitioning_in_the_conventional_freezer_versus_the_ultrafreezer_9598bcfec3.jpg 175w," sizes="100vw" width="996" height="891"></p><h5><strong>Application to Real Samples</strong></h5><p>Fifteen samples were analyzed in triplicate, comprising two from the State of Pará and 12 from the State of Bahia, located in the North and Northeast regions of Brazil, respectively. Among the 15 pesticides investigated, only permethrin isomers were quantified in four samples (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#tbl3">Table 3</a>). The herbicide molinate was also detected in three samples; however, its concentration was below LOQ. Permethrin isomers concentrations ranged from 17.1 ± 0.3 to 49.6 ± 1.8 μg kg<sup>–1</sup>. These values are below the MRL established by European Union regulation, which is 100 μg kg<sup>–1</sup>. <a href="javascript:void(0);">(42)</a> Although permethrin is not permitted in the European Union, <a href="javascript:void(0);">(42)</a> it remains authorized for use as insecticide in Brazil, particularly in crops such as cotton, rice, coffee, citrus, cabbage, beans, tobacco, maize, soybean, tomato, wheat, and grape. <a href="javascript:void(0);">(13)</a> However, no MRL values have been established for cocoa beans under Brazilian legislation. <a href="javascript:void(0);">(13)</a> <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#tbl3">Table 3</a> shows the concentration of detected compounds in the cocoa samples.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Table_3_Mean_Concentrations_mg_kg_1_Standard_Deviation_of_Target_Pesticides_Detected_in_This_Study_2427955699.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Table 3. Mean Concentrations (μg kg–1 ± Standard Deviation) of Target Pesticides Detected in This Study" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Table_3_Mean_Concentrations_mg_kg_1_Standard_Deviation_of_Target_Pesticides_Detected_in_This_Study_2427955699.jpg 196w," sizes="100vw" width="1070" height="851"></p><p>To assess method performance for pesticides not detected in the cocoa samples, one of the analyzed samples was fortified with a mixed standard solution at concentrations of 50, 250, and 500 μg kg<sup>–1</sup>. The fortified analytes were subsequently detected in the chromatograms presented in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsomega.5c10360/suppl_file/ao5c10360_si_001.pdf">Figures S2–S4</a>, indicating good response of the proposed method.</p><h4><strong>Conclusions</strong></h4><p>The QuEChERS–LTP procedure was successfully developed for the determination of 16 multiclass pesticide residues in cocoa beans. For the first time, ultralow temperature (−80 °C) was applied to accelerate the low-temperature partitioning process during pesticide extraction from cocoa beans. Nevertheless, conventional freezing at −12 °C proved to be more effective for the extraction of the target analytes.</p><p>Evaluation of the matrix effect demonstrated that matrix-matched analytical curves, constructed in an analyte-free cocoa bean extract, were more effective in compensating for matrix interferences than the use of analyte protectants.</p><p>The pyrethroid permethrin was quantified in four cocoa samples. However, the concentrations did not exceed the MRL established by European Union legislation.</p><p>Overall, the QuEChERS–LTP procedure proved to be a promising approach for pesticide residue determination, as it requires smaller volumes of solvents and reagents, involves fewer cleanup and extraction steps, and shows strong potential for application to other complex matrices.</p>

QuEChERS Combined with Low-Temperature Partitioning and GC–MS as an Analytical Strategy for the Determination of Multiclass Pesticide Residues in Cocoa Beans

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 9th February 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 technical note by <strong>Agilent Technologies, </strong>presentation by<strong> MDCW / University of Copenhagen </strong>and<strong> </strong>application notes by<strong> Shimadzu </strong>and<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: What Causes Spots on </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=19&amp;manufacturerItems=1&amp;search=PLOT"><strong>PLOT Columns</strong></a><strong>? Will It Affect the Performance of the Column?</strong></h3><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_what_causes_spots_plot_columns_affecting_performance_5994_8775en_agilent_3b7180512a.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Spots on porous layer open tubular (PLOT) columns are caused by small voids in the stationary phase coating inside the tube. These spots are areas where there is an uneven coating or lack of phase. It is normal to find some voids in the phase coating of PLOT columns. The stationary phase in PLOT columns is an opaque, solid, and porous material. In many Agilent PLOT columns such as the GS-Alumina phases, molecular sieves, porous polymers (Q and U), and the GS-OxyPLOT, the stationary phase is visible as a white powder. For many PLOT columns, the stationary phase fill solution is a viscous suspension of particles that are less than 10 microns in diameter. The phase is coated using a dynamic process in which a plug of fill solution is pushed through the tubing, and the plug’s speed and viscosity determines the thickness of the stationary phase layer. Once the PLOT’s stationary phase is deposited, it is held in place by electrostatic charge, chemical interactions between particles, and/or binding agents. In wall‑coated open tubular (WCOT) columns, stationary phases such as polysiloxanes or polyethylene glycols are immobilized by chemical bonding to the glass surface and cross-linking between polymer strands. Because this type of bonding and cross‑linking is not possible with PLOT phases, the result is a stationary phase layer that is both fundamentally different and inherently less stable in PLOT columns than in WCOT&nbsp;columns.</p><h3><strong>2. MDCW / University of Copenhagen: One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_17_Schneide_67c8ff7866.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The presentation introduces a novel <strong>all-samples-at-once, shift-invariant tri-linear tensor decomposition approach</strong> for the analysis of full-scale <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?search=GC%C3%97GC-VUV"><strong>GC×GC-VUV</strong></a><strong> datasets</strong>, aimed at resolving and quantifying petrochemical groups. Traditional template-based or pixel-based methods struggle with retention-time shifts and co-eluting compounds, often requiring manual intervention and prior chemical knowledge. The proposed approach leverages the intrinsic low-rank structure of GC×GC-VUV data to enable robust, automated group-level analysis across multiple samples simultaneously.</p><p>At the core of the method is a <strong>shift-invariant tri-linear model</strong>, conceptually related to PARAFAC and multivariate curve resolution, but extended using frequency-domain (FFT-based) modeling to explicitly account for chromatographic peak shifts. By decomposing the entire dataset in one step, the model provides <strong>accurate estimates of peak landscapes, VUV spectra, and relative peak areas</strong>, while remaining agnostic to retention-time variability. Importantly, the approach requires only a small number of tunable parameters, making it practical for routine use.</p><p>The method was demonstrated on a <strong>case study involving 14 petrochemical gas-oil samples</strong>, including straight-run, hydrotreated, hydroconverted, coker, and light cycle oils. Extracted VUV spectra showed excellent agreement with reference spectra from a VUV spectral database, enabling confident assignment of components to chemical groups such as saturates, olefins, and mono- to poly-aromatics. Quantitative results exhibited <strong>high repeatability (RSD typically 3–9%)</strong> and strong correlation with established template-based reference methods.</p><p>Overall, the work demonstrates that <strong>one-shot, shift-invariant tensor decomposition</strong> provides a powerful and scalable alternative to conventional GC×GC data-analysis strategies. By combining chemical interpretability, robustness to chromatographic shifts, and strong quantitative performance, the approach opens new opportunities for automated, high-confidence group-level analysis of complex petrochemical samples and beyond.</p><h3><strong>3. Shimadzu: Py-Screener Ver. 3: Simultaneously Test for Substances Regulated Under RoHS, TSCA, and POPs</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00949_en_4754e50164.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>In just one analysis, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=Py-Screener"><strong>Py-Screener</strong></a> Ver. 3 can determine levels of phthalate esters, brominated flame retardants (PBBs, PBDEs), PIP (3:1), UV-328, dechlorane plus (DP), short-chain chlorinated paraffins (SCCPs), and medium-chain chlorinated paraffins (MCCPs).&nbsp;</li><li>It can also test for SCCPs and MCCPs by electron ionization (EI) instead of negative chemical ionization (NCI).&nbsp;</li><li>PIP (3:1), UV-328, DP, and SCCPs and MCCPs can be screened without the need for corresponding reference materials.</li></ul><p>Countries and regulatory bodies worldwide are introducing increasingly stringent regulations on the chemical substances used in electronic devices and industrial products. The RoHS Directive and REACH regulations in the EU, the Toxic Substances Control Act (TSCA) in the USA, and the Stockholm Convention on Persistent Organic Pollutants (POPs) are also targeting an increasingly broad range of substances. Therefore, manufacturers are required to accurately identify regulated substances in their products and comply with each regulation. While Py-Screener Ver. 2 can screen for seven phthalate esters and brominated flame retardants, including substances regulated under the RoHS Directive, version 3 can also screen for PIP (3:1), which is regulated under the TSCA, as well as UV328, DP, and SCCPs and MCCPs , which are regulated under the Stockholm Convention on POPs. A list of supported substances isshown in Table 1. This article introduces the simultaneous analysis of multiple regulated substances and a case study of testing specific regulated substances in samples, using Py-Screener Ver. 3.</p><h4><strong>Analysis Process</strong></h4><p>Py-Screener Ver. 3 can determine levels of phthalate esters and brominated flame retardants contained in products in accordance with the international analytical standards IEC62321-8 and IEC62321-3-3. It can also test for specific regulated substances (Table 1) under the same conditions and in the same analysis. In this test, background intensity and instrument sensitivity (S/N) were verified before analyzing samples. These parameters are prescribed by IEC62321-8 to ensure the accuracy of the methods used. Background intensity and instrument sensitivity were determined using a reference material (PN: 225-31003- 91) *1 that consisted of a plastic sheet that was spiked with seven phthalate esters. The results met the criteria for both parameters.</p><p>The testing workflow is shown in Fig. 1. Before testing samples, calibration curves were prepared by analyzing the 1000 mg/kg phthalate ester reference material and polypropylene spiked with brominated flame retardants (ERM-EC591). A hole puncher was used to punch out two discs at a time of the phthalate ester reference material, and a cutter was used to obtain pieces of the other materials. Each material was weighed in a sample cup for analysis. During the analysis of samples, phthalate esters and some of the regulated brominated flame retardants were quantitated using a one-point calibration curve. The remaining brominated flame retardants and specific regulated substances were quantitated using the correction factor database*2 that is included with Py-Screener Ver. 3.</p><h4><strong>Conclusion</strong></h4><p>Py-Screener Ver. 3 successfully determined in samples the concentrations of the regulated substances PIP (3:1), UV-328, DP, and SCCPs and MCCPs. Normally, SCCP and MCCP levels are tested using NCI, but Py-Screener Ver. 3 uses EI. This enables it to test for not only SCCPs and MCCPs but also phthalate esters, brominated flame retardants, and other regulated substances in just one analysis. In addition, by using the relative correction factors linked to DEHP in the phthalate ester reference material, the levels of these regulated substances were determined without the need for the corresponding reference materials. Py-Screener Ver. 3 can also create a screening program that addresses substance restrictions under the RoHS Directive, the US TSCA, and the POPs Convention.</p><h3><strong>4. Thermo Fisher Scientific: Improving low carbon steel production in specialty steel processes</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/prima_pro_process_mass_spectrometer_an1626_7fc840235f.pdf"><strong>Full PDF for download</strong></a></li></ul><p>World crude steel production reached 1,691 million tonnes in 2017, up by 5.3% compared to 2016.1 While much of this capacity is still produced in primary steel processes such as basic oxygen furnaces and electric arc furnaces, the need for refined steel with greater durability and resistance to heat and corrosion has led to the increased use of vacuum degassing processes, such as VOD and RH, in secondary steel production. These processes are able to achieve ultra-low levels of residual carbon, while at the same time retaining desired levels of other alloy materials. If these processes are to achieve the required level of steel product quality, they need fast, continuous gas analysis of the furnace exhaust gas. Without accurate information on the composition of the gas leaving the furnace, any variations in the decarburization process are only detected after the event, resulting in the production of out-of-specification steel.</p><h4><strong>Advantages of mass spectrometry&nbsp;</strong></h4><p>Traditional Non-Dispersive Infra-Red (NDIR) analyzers are used in many conventional steelmaking processes to measure CO and CO<sub>2</sub> , but they can only sample at atmospheric pressure. In vacuum steelmaking the process pressure changes dramatically, typically from atmospheric pressure down to less than 1 mbar, over the 20-30 minutes of the melt. So NDIR analyzers have to sample some distance downstream from the process. Analytical data is updated several minutes after the gas leaves the melt and the control system is forced to operate on historic rather than real-time data.&nbsp;</p><p>Paramagnetic analyzers can be used to measure O<sub>2</sub> , while thermal conductivity analyzers can be used to measure H<sub>2</sub> . These analyzers also suffer from slow response, while the need to operate three different types of analyzers adds to the plant maintenance burden. Moreover, the three analyzers cannot analyze inert gases, so N<sub>2</sub> is calculated by difference, a result that suffers from the sum of the errors of the three analytical techniques.&nbsp;</p><p>Mass spectrometry operates at high vacuum so it is ideal for monitoring vacuum processes. It is also able to monitor all seven components in Table 1 in seconds rather than minutes, ensuring the plant control model is frequently updated with accurate compositional data.</p><h4><strong>Precision of analysis&nbsp;</strong></h4><p>At the heart of the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=2&amp;search=Prima+PRO+Mass+Spectrometer"><strong>Thermo Scientific™ Prima PRO Mass Spectrometer</strong></a> (MS) is a magnetic sector analyzer which offers unrivalled precision and accuracy compared with other mass spectrometers. Thermo Fisher Scientific manufactures both quadrupole and magnetic sector mass spectrometers; over thirty years of industrial experience have shown the magnetic sector based analyzer offers the best performance for industrial on-line gas analysis.&nbsp;</p><p>Key advantages of magnetic sector analyzers include improved precision, accuracy, long intervals between calibrations, and resistance to contamination. Typically, analytical precision is between 2 and 10 times better than a quadrupole analyzer, depending on the gases analyzed and complexity of the mixture.&nbsp;</p><p>A unique feature of the Prima PRO magnet is that it is laminated. Its analysis times are similar to a quadrupole analyzer, offering the unique combination of rapid analysis and high stability. This allows the rapid and extremely stable analysis of an unlimited number of user-defined gases. The scanning magnetic sector is controlled with 24-bit precision using a magnetic flux measuring device for extremely stable mass alignment.&nbsp;</p><p>The ion source is an enclosed type for high sensitivity, minimum background interference, and maximum contamination resistance. This is a high-energy (1000 eV) analyzer that offers extremely rugged performance in the presence of gases and vapors that have the potential for contaminating the analyzer. Typical performance specifications for the Prima PRO MS are shown in Table 1. Analytical performance is demonstrated by analyzing the calibration bottle over 1 hour following calibration, with an analysis time of just 6 seconds. Standard deviations measured on the calibration cylinder will be equal to or better than the stated values.</p>

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