<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 22nd July 2024? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p>
<blockquote>
<h4>👉 <a href="https://gcms.labrulez.com/library"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></a></h4>
</blockquote>
<blockquote>
<p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p>
</blockquote>
<p>This week we bring to you poster presentations from <a href="https://gcms.labrulez.com/events/568"><strong>ASMS 2024</strong></a> by <strong>LECO</strong>, <strong>Agilent Technologies</strong>, and <strong>Thermo Fisher Scientific</strong>! And as a bonus two application notes from <strong>Shimadzu</strong> and <strong>Thermo Fisher Scientific</strong>.</p>
<blockquote>
<p>💡 <strong>+ 100 ASMS posters and presentations <a href="https://gcms.labrulez.com/library?mainauthorItems=284">available in the LabRulezGCMS library</a></strong> (unique search and filtering)</p>
</blockquote>
<h4><strong>1. LECO: <a href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Long_Lifetime_Ion_Detector_GC_G_Cx_GC_TOFMS_MS_ASMS_24_LPSS_326_4c9e1fb7a1.pdf">A Novel Long-Lifetime Ion Detector for GC-TOFMS and GCxGC-TOFMS with Sub-Femtogram Detection Limits</a></strong></h4>
<ul>
<li>poster - ASMS 2024</li>
</ul>
<p><strong>Introduction:</strong> Ion detection efficiency and fast response times are critical aspects of the ion detectors used in time-of-flight mass spectrometry (TOFMS). With modern advancements in ionization, ion optics, and ion transfer efficiency, TOFMS systems are capable of generating high ion flux onto the ion detectors. Having an ion detector that is capable of maintaining optimal performance over a long period of time while accepting high amounts of ion flux is a significant challenge in development of TOFMS instrumentation. Improvements in detector life will minimize maintenance costs and improve TOFMS user experience. A novel long-lifetime ion detector was developed in partnership with El Mul Technologies for use in LECO’s Pegasus® BTX GC and GCxGCTOFMS. The system was thoroughly evaluated for sensitivity and robustness, including longevity of the detector.</p>
<p><strong>Conclusions:</strong> The Pegasus BTX GC(GCxGC)-TOFMS with a novel Long-Lifetime Ion Detector has demonstrated the following performance characteristics:</p>
<ul>
<li>Sub-2 fg IDL for GC-TOFMS and Sub-fg IDL for GCxGC-TOFMS </li>
<li>Linear dynamic range of 5 orders of magnitude in GC-TOFMS and 4 orders of magnitude in GCxGC-TOFMS</li>
<li>Robust operation: the detector bias remains consistent and BTX peak intensity remains consistent over long periods of time, even with large numbers of samples acquired and significant amounts of charge accumulation on the detector.</li>
</ul>
<h4><strong>2. Thermo Fisher Scientific: <a href="https://gcms.cz/labrulez-bucket-strapi-h3hsga3/po_142_utilizing_hydrogen_pesticides_food_gc_ms_po142_asms2024_en_7ed0951b93.pdf">Utilizing hydrogen carrier gas for sensitive analysis of pesticides in food using gas chromatography mass spectrometry</a></strong></h4>
<ul>
<li>poster - ASMS 2024</li>
</ul>
<h5><strong>Abstract</strong></h5>
<p><strong>Purpose:</strong> To demonstrate the performance of the Thermo Scientifc HeSaverH2Safer kit for iConnect split-splitless (SSL) injection module for trace analysis of pesticides using H2 as a carrier gas as a safe and sustainable solution for laboratory operations.</p>
<p><strong>Methods:</strong> In this study, hydrogen was used as a carrier gas for GC-MS/MS analysis of trace levels of pesticides in food. The GC was fitted with a new hydrogen safer split/splitless injector, with chromatographic separation performed on a TG-5 SIL MS(30 m × 0.25 mm, 0.25 μm) capillary GC column. The chromatographic conditions applied ensured critical pair separation was achieved. The GC-MS/MS system was equipped.</p>
<h5><strong>Conclusions</strong></h5>
<ul>
<li>The use of the HeSaver-H2Safer technology allows for a safe and compliant use of hydrogen as an alternative carrier gas in GC/GC-MS applications without the need to install a hydrogen sensor and removes any risk of unwanted reactions with the sample in the hot SSL injector.</li>
<li>When used with hydrogen, the limited carrier gas consumption offered by the HeSaverH2Safer mode permits a very controlled system demand for hydrogen, making this solution ideal for laboratories working with hydrogen generators.</li>
<li>Migrating the GC-MS/MS method from helium to hydrogen requires an adaptation of method parameters to address (i.e., retention time shift and different fragmentation patterns).</li>
<li>97% of pesticides in baby food and 98% in honey showed a linear response in the concentration range 0.005–0.500 mg/kg and the relative standard deviation for N=5 repeats of each sample type at 0.01 mg/kg was equal or lower than 10% for 98% of the evaluated compounds with an advanced electron ionization (AEI) source to increase sensitivity for analyte detection. Quantification and assessment of critical regulatory requirements, such as linearity and sensitivity, were performed in a single software.</li>
</ul>
<h4><strong>3. Agilent Technologies: <a href="https://gcms.cz/labrulez-bucket-strapi-h3hsga3/po_142_utilizing_hydrogen_pesticides_food_gc_ms_po142_asms2024_en_7ed0951b93.pdf">Analyzing Nitrosamines with Hydrogen Carrier Gas: GC/MS/MS Analysis of Nitrosamines in Sartan Drugs</a></strong></h4>
<ul>
<li>Poster Reprint - ASMS 2024</li>
</ul>
<p><strong>Introduction:</strong> The limited availability of helium has been a concern, leading to a growing interest in switching to alternative carrier gases like hydrogen. Hydrogen offers several advantages over helium1 , including faster run times and improved chromatographic resolution. Helium is commonly used as a carrier gas for analyzing nitrosamine impurities in pharmaceuticals. However, there are concerns that nitrosamines may react with hydrogen, forming unwanted byproducts. To ensure that using hydrogen as a carrier gas does not impact spectral quality, we evaluated its suitability for analyzing eight impurities:</p>
<ul>
<li>N-nitrosodimethylamine (NDMA),</li>
<li>N-nitrosomethylethylamine (NMEA),</li>
<li>N-nitrosodiethylamine (NDEA),</li>
<li>N-nitroso-ethylisopropylamine (NEIPA),</li>
<li>N-nitrosodiisopropylamine (NDIPA),</li>
<li>N-Nitrosodipropylamine (NDPA),</li>
<li>N-nitrosodi-n-butylamine (NDBA),</li>
<li>N-Nitrosopiperidine (NPIP).</li>
</ul>
<p>Hydrogen carrier gas was used with the 7000E and 7010 Series GC/TQ systems equipped with the HydroInert and HES ion sources respectively, assessing spectral quality, linearity, repeatability, recovery, and compliance with nitrosamine analysis regulations.</p>
<p>MassHunter 13 software suite provided the tools for data acquisition and processing to be performed under a unified compliance environment. OpenLab Electronic Content Management (ECM) XT includes native tools to facilitate compliance, including the ability to create users with affiliated permissions, the generation of audit trails, and remote data storage.</p>
<p><strong>Conclusions:</strong></p>
<ul>
<li>The 7000E and 7010 Series GC/TQ systems equipped with the HydroInert and HES, respectively, exhibited exceptional performance in determining eight nitrosamine drug impurities in sartan drug products and substances using hydrogen carrier gas.</li>
<li>The method was validated at 30 ppb with acceptable recovery and long-term repeatability. </li>
<li>The 7010 Series GC/TQ system enabled a smooth switch between helium and hydrogen carrier gas without compromising the performance of the methods. </li>
<li>Both the HydroInert and the HES sources facilitated achieving the necessary detection limits for the tested impurities.</li>
</ul>
<h4><strong>4. Agilent Technologies: <a href="https://gcms.cz/labrulez-bucket-strapi-h3hsga3/po_142_utilizing_hydrogen_pesticides_food_gc_ms_po142_asms2024_en_7ed0951b93.pdf">Analysis of Essential Oils Using a Comprehensive GCxGC with a Reverse Flow Modulator Combined with High Resolution GC/MS</a></strong></h4>
<ul>
<li>Poster Reprint - ASMS 2024</li>
</ul>
<p><strong>Introduction:</strong> Essential oils are typically analyzed to determine their chemical composition contributing to flavor and quality as well as to evaluate their authenticity and identify adulterants. Essential oils are often complex samples with high number of volatile and semi-volatile components that include many isomers with highly similar spectra and close Retention Indices (RIs) when separated on a single column. Hence, a comprehensive GCxGC approach is preferable to achieve an appropriate chromatographic separation for this sample matrix. In this study we used comprehensive GCxGC coupled to a high-resolution accurate mass GC/MS to identify the essential oil  components. Here we also investigate approaches for comparison of the complex GCxGC essential oil data.</p>
<p><strong>Conclusions:</strong></p>
<ul>
<li>Several comprehensive GCxGC configurations and method using the high-resolution GC/Q-TOF and RFM were developed and optimized using a diesel sample. </li>
<li>Essential oils were analyzed using the optimized GCxGC approach, and the workflows for compound identification and statistical analysis were evaluated.</li>
</ul>
<h4><strong>5. Shimadzu: <a href="https://gcms.cz/labrulez-bucket-strapi-h3hsga3/an_01_00746_en_e14cf49b7b.pdf">Greenhouse Gas Analyzer</a></strong></h4>
<ul>
<li>Application</li>
</ul>
<p><strong>User Benefits:</strong></p>
<ul>
<li>Simultaneously measures the 3 main greenhouse gases: CH₄, CO₂, and N₂O.</li>
<li>Offers short analysis cycle times and is equipped with an AOC-6000 Plus syringe injection system to analyze large numbers of samples.</li>
<li>Uses nitrogen as a carrier gas for lower running costs.</li>
</ul>
<p><strong>Introduction:</strong> Greenhouse gases are a major cause of climate change, and carbon dioxide, (CO₂), methane (CH₄), and nitrous oxide (N₂O) are considered the 3 primary greenhouse gases. Although CO₂ accounts for the majority of greenhouse gas emissions followed by CH₄, reducing CH₄ emissions is considered important because CH₄ has a warming effect that is more than twenty times greater than CO₂. At the United Nations Climate Change Conference (COP26) in November 2021, over 100 countries joined the Global Methane Pledge, which pledges by 2030 to reduce global CH₄ emissions by 30 % compared to 2020 levels. The Greenhouse Gas Analyzer is a gas chromatography system that has been developed by Shimadzu in collaboration with the National Agriculture and Food Research Organization (NARO) (Fig. 1). Measuring levels of CH₄, CO₂, and N₂O simultaneously in a single sample is difficult, but the Greenhouse Gas Analyzer has been designed to do this simultaneously, which reduces analytical errors and improves the sampling speed, giving researchers a valuable tool in reducing greenhouse gas emissions.</p>
<p>This Application News describes using the Greenhouse Gas Analyzer to simultaneously measure CO₂, CH₄, and N₂O levels.</p>
<p><strong>Conclusion:</strong> The Greenhouse Gas Analyzer can simultaneously measure 3 greenhouse gases in atmospheric air in a single analysis. Each analysis by the Greenhouse Gas Analyzer is performed in 8 minutes with an analysis cycle time of 10 minutes.</p>
<h4><strong>6. Thermo Fisher Scientific: <a href="https://gcms.cz/labrulez-bucket-strapi-h3hsga3/an_002695_gc_triplus_rsh_smart_sample_prep_environ_an002695_na_en_77a5aa2300.pdf">An automated approach for the analysis of VOCs in drinking and surface water by using the TriPlus RSH SMART VOC Sample Prep Station</a></strong></h4>
<ul>
<li>Application - Environmental</li>
</ul>
<p><strong>Goal:</strong> The aim of this study is to demonstrate the suitability of the Thermo Scientific™ TriPlus™ RSH SMART VOC Sample Prep Station for the analysis of volatile organic compounds (VOCs) in drinking and surface water by using a fully automated sample preparation workflow.</p>
<p><strong>Keywords:</strong> Automated sample preparation, TriPlus RSH SMART Sample Prep Station, volatile organic compounds, VOCs, drinking water, surface water, gas chromatography, TRACE 1610 GC, single quadrupole mass spectrometry, ISQ 7610 GC-MS.</p>
<p><strong>Conclusions:</strong> The results of these experiments demonstrate that the automated sample preparation capability of the TriPlus RSH SMART VOC Sample Prep Station coupled to the ISQ 7610 GC-MS system provides an ideal solution for water testing laboratories looking to improve productivity and deliver confident results.</p>
<ul>
<li>Static headspace is a convenient solventless extraction technique for volatiles in water with almost no sample preparation required. </li>
<li>Unattended operations of up to 210 samples can be achieved with the automated calibration dilution and ISTD addition workflows.</li>
<li>The automated addition of fresh reagent just before the incubation increases the stability of ISTD/surrogates mix, therefore improving the accuracy of the quantitation of target analytes during data reprocessing.</li>
<li>The TriPlus RSH SMART VOC Sample Prep Station ensures increased sample integrity for highly reliable quantitative analysis, and reduced errors or possible cross-contaminations, maximizing the productivity of the laboratory. Additionally, it allows saving valuable analyst time and improving safety by limiting the user’s exposure to toxic chemicals. </li>
<li>The integrated control for both autosampler and GC-MS in a single CDS ensures a streamlined automated workflow from on-line sample preparation to sequence setup, data acquisition, and reporting. </li>
<li>Suitability of headspace sampling for analysis of VOCs was demonstrated with R2  &gt; 0.990, RRF %RSD &lt; 20%, and calculated amount within 20% of the spiked concentration. </li>
<li>Inter-day reproducibility was demonstrated by running three batches of samples bracketed with QCs. Average absolute peak area %RSD across the entire evaluation period was &lt;20%, the QC calculated amount was within 20% of the expected value, and the calculated recovery was within 70–130%, with the only exception of 1,2-dibromo-3-chloropropane for which the % recovery was 132. </li>
<li>Reliable quantitative analysis was achieved for drinking water samples and surface water samples analyzed in three different batches across six working days. All the sample results were compliant with the thresholds set by the current EU regulation.</li>
</ul>


News from LabRulezGCMS Library - Week 30, 2024

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 17th November 2025? 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 applicaton notes by <strong>Agilent Technologies, EST Analytical </strong>and <strong>Shimadzu!</strong></p><h3><strong>1. Agilent Technologies: Accurate Identification and Quantification of Pesticide Residues in Ghee</strong></h3><p><strong>Analysis by QuEChERS with GC/MS/MS using the Agilent 8890 GC and Agilent 7010 GC/TQ</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_pesticide_ghee_gc_5994_8399en_agilent_1cbd787002.pdf"><strong>Full PDF for download</strong></a></li></ul><p>India is one of the largest producers of milk, contributing about 23% of global milk production.<sup>1</sup> The dairy processing sector includes a wide range of products, such as milk, butter, cheese, ghee, yogurt, flavored milk, lactose-free dairy products, and value-added products like ice creams and yogurts. Amongst these, ghee production is significant because of its popularity, low cost of production, and versatile use. According to the Food Safety and Standards Authority of India (FSSAI), ghee is mentioned as a "product obtained exclusively from milk, cream or butter by a process that almost completely removes water and non-fat solids; it has a specially developed flavor and physical structure".<sup>2</sup> Milk‑producing animals can be exposed to pesticides through their diet, such as feed and fodder containing pesticide residues, or through the direct application of pesticides for controlling ectoparasites on their bodies, in animal sheds, and in milk processing areas. Due to their persistent and lipophilic nature, pesticides tend to accumulate in the fat-rich tissues of animals. The FSSAI has specified maximum residue levels (MRLs) for 55 pesticides, and a tolerance limit of 0.01&nbsp;mg/kg for the remaining pesticides for which an MRL has not been&nbsp;fixed.&nbsp;</p><p>Ghee consists of 98.9% fat, irrespective of the animal source. Among the short- and medium-chain saturated fatty acids, all samples contain butyric (C4:0), caproic (C6:0), caprylic (C8:0), and capric acid (C10:0).<sup>3</sup> Since its introduction, the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=QuEChERS"><strong>QuEChERS method</strong></a> has been widely used for the analysis of pesticides in several matrices. Some modifications to the original QuEChERS method have been introduced to ensure efficient extraction of pH-dependent compounds, to minimize degradation of susceptible compounds (such as base- and acid-labile pesticides), and to expand the spectrum of matrices covered. Ghee matrix has a very high lipid load, making it a difficult commodity for analysis pesticide residues. The primary challenge lies in obtaining an extract that contains the target analytes while minimizing the amount of fat. Co-extracted lipids in the extracts can be removed, to a high degree, by a freezing-out step or a C18 cleanup.&nbsp;</p><p>During sample extraction, the sample is often diluted. To obtain a quantification limit of 0.01 mg/kg, the instrument should be able to detect the residues at a lower concentration. This application note addresses these requirements by combining a sample preparation technique covering multiclass pesticides, target-specific multiple reaction monitoring (MRM) data acquisition, and efficient software to simplify quantitative analysis. The Agilent 7010 triple quadrupole GC/MS system enabled trace-level detection and confident quantitation of 150 pesticides in ghee.</p><h4><strong>Experimental&nbsp;</strong></h4><h5><strong>Equipment&nbsp;</strong></h5><p>An Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890+GC"><strong>8890 GC</strong></a> coupled to a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7010+GC%2FTQ"><strong>7010 GC/TQ</strong></a> system equipped with high efficiency source was used for the analysis. The GC system was equipped with a multimode inlet with air cooling and midcolumn backflush based on an Agilent purged Ultimate union controlled by a pneumatic switching device. The method parameters are displayed in Table 1.</p><h4><strong>Conclusion</strong></h4><p>The limits of quantitation (LOQs) for the target list of over 150 compounds ranged from 2.5 to 5 mg/kg for the ghee matrix. To minimize interferences from the ghee matrix, numerous multiple reaction monitoring (MRM) transitions were employed. This approach helped to accurately identify and quantify the target compounds despite the complex sample matrix. The samples were diluted five-fold to ensure that the analytes were within the required detection range of the instrument. This dilution also helped in reducing the matrix effects, leading to more reliable results. The average analyte recoveries were between 70 and 130%, indicating that the method has good accuracy and precision. This range of recoveries demonstrates the method’s robustness and suitability for routine analysis of these compounds.</p><h3><strong>2. EST Analytical: Analysis of Coffee Flavors by Purge and Trap Sampling</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Purge_and_Trap_Analysis_of_Coffee_Flavors_by_Purge_and_Trap_Sampling_ca25beef60.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Most of us who drink coffee know our preferences. We know which blend we like, what strength and definitely what we like in our coffee. However, most of us do not think about the flavors that go into our coffee that help us define our preferences. Coffee manufacturers, on the other hand are working diligently to create a new blend or a more satisfying flavor that would make us want to choose their coffee over another maker.&nbsp;</p><p>This study will look at four different blends of coffee and some of the compounds that contribute to the flavor of the blend. Using purge and trap sampling, the flavor compounds were purged out of the coffee and trapped onto an adsorbent trap. The analytes were then transferred to a Gas Chromatograph/Mass Spectrometer (GC/MS) for analysis. The study focused on six flavor compounds. The spicy smoky aroma of 2-methylfuran, the spicy caramel, almond odor of 5-methylfurfural, the buttery scent provided by the addition of 2,3-butanedione and 2,3- pentanedione and the impact of the two and three methyl butanals giving the dark chocolate malty flavor to the coffee.</p><h4><strong>Experimental:&nbsp;</strong></h4><p>The EST Analytical <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2160"><strong>Encon Evolution Purge and Trap Concentrator</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2159"><strong>Centurion WS Autosampler </strong></a>were interfaced to a GC/MS. The Centurion WS was run in the soil mode and the purge and trap concentrator was configured with a Vocarb 3000 (K) analytical trap. The column selected for this study was an Rtx-1 60m x 0.25mm x 1µm. Listed in Tables 1 and 2 are the experimental parameters used for this study.</p><h4><strong>Conclusion:&nbsp;</strong></h4><p>The lightest roast had the most buttery and dark chocolate/malty flavors while the darkest roast had more of the smoky flavor. Surprisingly, the darkest roast and the medium roast had similar proportions of the flavor compounds with the exception of the smoky flavor. While the light roast had large amounts of the flavors tested for, the chromatography of the light roast was much simpler than that of the darker roasts. Overall, the Encon Evolution Purge and Trap Concentrator in conjunction with the Centurion WS Autosampler proved to be an excellent system for sampling coffee. The results were reproducible and provided a lot of information on the flavors of the respective coffees.</p><h3><strong>3. Shimadzu: Analysis of Ethanol in E10 Gasoline Using Polyarc Microreactor for GC</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_01033_en_d4ee66bd4f.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The flame ionization detector (FID) can detect almost all organic compounds, and the sensitivity of the obtained chromatograms displays a correlation with concentration and number of carbon atoms in the compound. However, as a weakness of FID, its sensitivity decreases when an organic compound contains oxygen atoms, asin the case of alcohols.&nbsp;</p><p>The Polyarc microreactor improvessensitivity for alcohols and other compounds containing oxygen atoms (hereinafter, oxygenated compounds), allowing calibration using a single compound. Research and use of biofuels has accelerated in recent years, and more sensitive quantitative analysis of oxygenated compounds in multiple compoundsis now required.&nbsp;</p><p>This Application News introduces an example of an analysis of a sample simulating E10 gasoline, in which 10 % ethanol by volume concentration was added to gasoline, demonstrating that enhanced sensitivity for oxygenated compounds can be achieved by adding Polyarc to the instrument configuration. The accuracy of the quantitative analysis was also verified using a general standard sample (alkane).</p><h4><strong>Polyarc Microreactor</strong></h4><p>Polyarc is a post-column type microreactor that is introduced between the column and the detector (FID). The organic compounds separated and eluted by the column are decomposed to methane by the Polyarc reactor in a two-stage oxidationreduction reaction (Fig. 1). Since the decomposed methane is detected by the FID, the uniform sensitivity for the carbon number can be obtained, regardless of the type of functional groups in a sample.</p><h4><strong>Effective Carbon Number</strong></h4><p>As mentioned above, the sensitivity of the FID detector varies depending on the types of functional groups in organic compounds. The detection sensitivity by the FID can be estimated based on the concept of the effective carbon number (ECN), which is an index showing how many carbon atoms in a compound function effectively. Depending on the type of functional groups contained in a compound, the carbon ratio in the molecule changes, and this causes changesin the sensitivity ofthe FID. For example, both ethane (C2H6) and ethanol (C2H5OH) contain the same number of carbon atoms of 2, but the sensitivity of the FID for ethanol is only 75 % of itssensitivity for ethane because the primary hydroxyl group (-OH) behaves as -0.5 carbon atoms in terms of its contribution to the ECN. This meansthe ECNof ethanol is 1.5. Table 1 shows several examples of other functional groups with ECNslowerthan the number of carbon atoms.</p><h4><strong>Analysis Conditions</strong></h4><p>In this Application News, sensitivity for ethanol when the Polyarc was added and when using only the FID was compared using an E10 sample, in which 10 v/v% ethanol was added to gasoline, simulating a biofuel which has attracted attention in recent years, and quantitativity for ethanol was confirmed. In the quantitative analysis, it was also carried out by the external standard method using a hydrocarbon (dodecane; C12) with a concentration of 1 w/v% as a standard sample. The analytical instrument was a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GC-2030"><strong>GC-2030</strong></a> (SPL/FID) model gas chromatograph with the Polyarc added (Fig. 2). Table 2 shows the analysis conditions.</p><h4><strong>Conclusion</strong></h4><p>E10 gasoline was analyzed using an FID detector and an added Polyarc microreactor, confirming that oxygenated compounds can be analyzed with high sensitivity. This study also confirmed that a uniform reaction of organic compounds can be obtained in the FID, and peak broadening can be suppressed by standardizing the response of sensitivity. Table 6 introduces several of the advantages that are possible by adding the Polyarc microreactor. The Polyarc converts all organic compounds to methane having the same number of carbon atoms (mol), enabling highsensitivity detection for compounds with low detection sensitivity by FID alone. In addition, since sensitivity is standardized, quantitation is possible using only one arbitrary calibration curve, regardless of the type of analysis compound. As a result, it is now possible to analyze compounds that were difficult to analyze by FID until now.</p>

News from LabRulezGCMS Library - Week 47, 2025

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 5th 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, EST Analytical </strong>and<strong> Shimadzu!</strong></p><h3><strong>1. Agilent Technologies: Ultrasensitive and Powerful GC/MS/MS for Analyzing Multipesticides in Black Pepper and Dried Tea</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_gcms_ms_black_pepper_5994_8783en_agilent_4b1cc85920.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Pesticides play a vital role in safeguarding crops and are indispensable in most farming settings to secure high yields.1 Regulatory authorities, including the Codex Alimentarius and the European Commission mandate the monitoring and reporting of pesticide residues found in or on food product.2 The analysis of pesticides in food faces several major challenges, such as the variety of pesticide classes, the complexity of different food matrices, the effects of these matrices, and the detection of target analytes at low&nbsp;concentrations.3&nbsp;</p><p>According to the EU's SANTE/11312/2021 guidelines, black pepper and dried tea are considered among the difficult or unique commodity matrices for multiresidue pesticide analysis.4 The matrix interferences are complex and diverse, including carbohydrates, fats, piperine, terpenoids (for black pepper)5 , and caffeine (in dried tea). "For dried tea, matrix interferences include polyphenols, pigments, polysaccharides, alkaloids, free amino acids, high caffeine levels, and&nbsp;catechins".6&nbsp;</p><p>In addition to affecting the analyte signals, matrix interferences can cause the system to become contaminated more quickly. This leads to a rapid decline in the sensitivity of the analytical instrument, and necessitates frequent maintenance, significantly reducing laboratory productivity. These are the current challenges faced by laboratories when analyzing pesticides in difficult and complex matrices.&nbsp;</p><p>To overcome these challenges, Agilent offers a robust solution with its backflush and JetClean self-cleaning ion source technologies integrated into the high-sensitivity 7010B GC/TQ system. Backflush technology prevents high‑boiling contaminants from reaching the detector, reducing the need for frequent maintenance and extending column life.7 This ensures consistent performance and minimizes downtime, thereby enhancing laboratory productivity.&nbsp;</p><p>With JetClean technology, your lab can significantly increase instrument uptime, as fewer manual cleanings are needed, maximizing productivity. This technology helps maintain data quality by ensuring a clean ion source, which guarantees run-to-run reproducibility. Additionally, JetClean enhances operator convenience through automated cleaning, requiring virtually no user intervention.8 Combined with the ultrasensitivity of the 7010B GC/TQ system, these technologies provide precise and reliable analysis of pesticides in complex matrices such as black pepper and dried tea. Agilent’s comprehensive approach effectively mitigates matrix interferences, preserves instrument sensitivity, and significantly boosts overall efficiency in pesticide analysis.</p><p>This application note describes a detailed approach for the simultaneous quantification of 284 pesticides in black pepper and dried tea samples. Agilent's solution for complex matrices demonstrates the sensitivity of the 8890 GC/7010B GC/TQ and confirms its robustness when using backflush and JetClean techniques.&nbsp;</p><h4><strong>Experimental and chemicals</strong></h4><h5><strong>GC/TQ parameters&nbsp;</strong></h5><p>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890"><strong>8890 GC</strong></a>/<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7010B"><strong>7010B GC/TQ systems</strong></a> (Figure 1) were optimized for wide calibration range performance. Equipped with an Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7693A"><strong>7693A automatic liquid sampler </strong></a>and a 150-position tray, the GC operated in temperature‑programmed splitless injection mode with a multimode inlet. Detailed instrument parameters can be found in Table 1. Data acquisition was in dynamic MRM (dMRM) mode, enabling analysis of 284 pesticides with 1233 MRM transitions and up to 74 concurrent MRMs (see Figure 2). Retention time was synchronized with the Agilent Pesticides and Environmental Pollutants (P&amp;EP) 4.0 MRM Database, streamlining method&nbsp;setup.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This application note describes an approach for the analysis of multipesticides in complex and distinctive matrices, including black pepper and dried tea using the Agilent 8890 GC/7010B GC/TQ. The comprehensive solution successfully addresses the challenges encountered when analyzing multipesticides in difficult matrices such as black pepper and dried tea. The high sensitivity of the 7010B GC/TQ enables the application of deep dilution methods. Additionally, the use of backflush technology combined with the Agilent JetClean self-cleaning ion source ensures system stability and robustness, enhancing the operational efficiency of testing laboratories and reducing equipment downtime during&nbsp;maintenance.</p><h3><strong>2. EST Analytical: Static Headspace Sampling of Volatile Organic Compounds</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/Flex_8260_by_Static_Headspace_7ddf2e4157.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>Discussion</strong></h4><p>Purge and trap sampling involves purging the VOCs out of the matrix and trapping the analytes onto an analytical trap, the trap is then desorbed to the GC/MS. This process has a number of pros and cons. On the positive side, purge and trap is more sensitive. It is also the recommended sampling technique for USEPA Methods. Furthermore, the advent of autosampling systems has simplified sample preparation. However, purge and trap does have some negatives, including active sites, worries about foaming samples, and trap degradation.</p><p>Static headspace sampling, on the other hand, is much simpler than purge and trap sampling. For this sampling technique, the sample is brought to equilibrium and a portion of the headspace is transferred to the GC/MS for separation and analysis. The simplicity of this technique is a definite pro. Moreover, this sampling process does not develop active sites, has no need for an analytical trap and the linear calibration range can be much higher than that of purge and trap sampling. Conversely, samples need to be manually prepped thus, losing their sample integrity. Additionally, the detection limits are higher for a number of compounds. Finally, some of the analytes do not partition into the headspace well enough and need method optimization.&nbsp;</p><p>In recent years, GC/MS systems have become much more sensitive. The advent of SIM/Scan acquisition techniques has made low level detection a much simpler proposition. This analysis will focus on the headspace sampling and analysis of over 50 volatile organic compounds.&nbsp;</p><h4><strong>Experimental</strong></h4><p>The sampling system used for this analysis was the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2162"><strong>EST Analytical FLEX autosampler</strong></a> fitted with a 2.5ml headspace syringe. An <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7890+GC"><strong>Agilent 7890 GC</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5975"><strong>5975 MS</strong></a> were used for separation and analysis. The GC was configured with a Restek Rxi 624 Sil MS 30m x 250mm x 1.4µm column and a SKY 2mm x 6.5 x 78.5 splitless inlet liner. The MS was run in SIM/Scan mode. Refer to Tables 1 and 2 for the analysis and sampling parameters.</p><h4><strong>Conclusions</strong></h4><p>Static headspace sampling in conjunction with SIM/Scan acquisition proved to be a good alternative to purge and trap sampling for a number of USEPA Method 8260 compounds. The curve %RSD results showed the linearity of the curve to meet the USEPA Method 8260 requirement of 15% or better. The method detection limits of all the compounds tested also passed method requirements. Lastly, the precision and accuracy of the autosampling and analysis system was excellent, with the average precision at less than 6% RSD and the average %recovery at just over 101%.</p><h3><strong>3. Shimadzu: Aromatic Component Analysis of Gasoline According to ASTM D5580 Using the Brevis GC- 2050 Gas Chromatograph</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_01024_en_039b304288.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Aromatics, such as toluene and xylene, are sometimes added to gasoline to improve the octane number. Measuring the levels of these aromatics is essential for quality control in gasoline production. It is also important for environmental protection, in particular, for reducing emissions of benzene, a hazardous substance, as well as for sustainable energy use that reduces the environmental impact of gasoline while maintaining its performance.</p><p>ASTM D55801) is a standard test method that uses gas chromatography to measure aromatics in gasoline. Gasoline aromatics can be separated more effectively by switching between two gas chromatography columns of different polarities and venting non-aromatic components from the system. This Application News describes using the Brevis GC2050 gas chromatograph to determine aromatics in gasoline by applying ASTM D5580.</p><h4><strong>Equipment Configuration and Analytical Conditions&nbsp;</strong></h4><p>The system comprises a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Brevis+GC-2050"><strong>Brevis GC-2050 gas chromatograph</strong></a>, an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=AOC-30"><strong>AOC-30</strong></a> for sample injection, and a VB-30-S heated valve box. Aromatics were determined using two sets of Analysis Conditions that were tailored to measure different components (Table 1). Note that the timing of the flow path switching and other conditions needs to be adjusted according to the columns being used and the operating environment.</p><h4><strong>Determining Aromatics in Gasoline&nbsp;</strong></h4><p>A gasoline sample was prepared by adding 2 to 10 wt% aromatics and 10 wt% of an internal standard (2-hexanone) and then analyzed under Analysis Conditions A and Analysis Conditions B. Fig. 2 shows the chromatograms obtained under each set of Analysis Conditions. Despite gasoline containing large amounts of hydrocarbons, oxygenates, and other impurities, these impurities did not appear as peaks in the chromatograms, and only the aromatics added to the gasoline were detected. These results verify the utility of using flow path switching to effectively utilize the characteristics of two different columns.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>A flow path switching valve was installed on a Brevis GC-2050 gas chromatograph to enable the determination of gasoline aromatics (benzene, toluene, ethylbenzene, p/m-xylene, oxylene, and C9+ aromatics) according to ASTM D5580.&nbsp;</p><p>This system can switch between different columns during analysis to determine specific aromatics from among the many compounds present in gasoline. Analysis was performed under two sets of conditions, each using different flow path switching times. This method met the requirements for linearity and reproducibility described in ASTM D5580. The timing of flow path switching can also be adjusted to allow the targeted determination of oxygenates in gasoline. The ability to perform multiple analyses on a single system means the Brevis GC-2050 offers even greater functionality as a compact gas chromatograph.</p>

News from LabRulezGCMS Library - Week 02, 2026

Toward Accurate Estimation of Extractable Organic Fluorine by Analysis of Fluoride Contamination in Extracts Using Gas Chromatography

<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 presentation 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

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News from LabRulezGCMS Library - Week 36, 2026

Toward Accurate Estimation of Extractable Organic Fluorine by Analysis of Fluoride Contamination in Extracts Using Gas Chromatography

News from LabRulezGCMS Library - Week 02, 2026

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News from LabRulezGCMS Library - Week 30, 2024

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