Quality analysis of walnut oil extracted by cold press and solvent methods for in vitro phytochemicals, antioxidant activity and GCMS analysis

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 25th August 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 application notes by <strong>Agilent Technologies </strong>and <strong>Shimadzu!</strong></p><h3><strong>1. Agilent Technologies: A More Sustainable Analysis of Ethylene Oxide and 1,4-Dioxane</strong><br><strong>in Surfactants with Hydrogen Carrier Gas&nbsp;</strong></h3><p><strong>Using an Agilent </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B+GC%2FMSD"><strong>5977B GC/MSD</strong></a><strong> with an Agilent HydroInert Source</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_ethylene_oxide_1_4_dioxane_surfactants_hydrogen_carrier_gas_5994_8335en_agilent_886a988649.pdf"><strong>Full PDF for download</strong></a></li></ul><p>EO and 1,4-dioxane are key industrial chemicals, frequently found in the production of surfactants. During alkoxylation processes, residual raw materials or byproducts, such as EO and 1,4-dioxane, may remain in the final surfactant product (Figure 1). Although manufacturers have made significant strides in reducing these byproducts, increasing regulatory scrutiny on EO and 1,4-dioxane underscores the need for precise analytical methods to detect these compounds at low concentrations.1–4 Thus, there is an urgent need to develop methods that can accurately quantify these compounds at levels as low as 0.1 ppm in consumer products.</p><p>This study presents a method for the detection of EO and 1,4-dioxane using GC/MS with an HS sampler and a HydroInert source for hydrogen carrier gas. The use of hydrogen instead of helium not only addresses the global helium shortage but also ensures excellent sensitivity and linearity, while maintaining the integrity of the analytical process. The HydroInert source further eliminates chemical reactions often associated with hydrogen in mass spectrometry, offering a sustainable and reliable solution. The method developed in this study successfully quantifies both EO and 1,4-dioxane at the low concentrations required by current regulations, offering an accurate, reliable approach for compliance in surfactant manufacturing.</p><h4><strong>Experimental&nbsp;</strong></h4><p>This work was carried out using an Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7890+GC"><strong>7890 GC</strong></a> with helium carrier gas and 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> with hydrogen carrier gas. Both GC systems were configured with an Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B+GC%2FMSD"><strong>5977B GC/MSD</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=PAL3+autosampler"><strong>PAL3 autosampler</strong></a> for headspace sampling. For the analysis using hydrogen carrier gas, the GC/MSD was fitted with a HydroInert source. The HydroInert source produces spectra in hydrogen that closely match those from helium-based libraries, such as NIST. This ensures spectral fidelity, allowing the same quantification and qualifier ions used in helium methods to be applied in SIM and MRM modes with hydrogen. Method parameters are shown in Table 1.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This work establishes a first of its kind method using hydrogen carrier gas to reliably measure ethylene oxide and 1,4-dioxane in surfactants. Mass spectrometry detection was optimized for use with hydrogen by installing an Agilent HydroInert source. The HydroInert source helps to avoid sensitivity loss and spectral anomalies that are common with hydrogen carrier gas applications, resulting in suitable linearity, precision, accuracy, and LOQs for this analysis.</p><h3><strong>2. Shimadzu: How Long Does A Perfume Last on Skin? – Fragrance Analysis by </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-QP2050"><strong>GCMS-QP2050</strong></a><strong> and Smart Aroma Database</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_04_ad_0309_en_60c887beed.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>Achieve highly accurate and reproducible analysis of aroma compounds on human skin, ensuring reliable data for evaluating perfume performance.</li><li>Smart Aroma Database simplifies the qualitative and quantitative analysis process, reducing the time and effort required for data interpretation.</li></ul><p>The duration on how long fragrance lasts on human skin is a critical factor in the development and evaluation of perfumes. Gas Chromatography Mass Spectrometry (GC-MS) is a powerful analytical technique that allows for the detailed analysis of volatile and semi-volatile compounds, making it an ideal tool for studying fragrance. In this application note, a study was performed to examine fragrance on human skin at different durations after applying a perfume. Here, we explore the use of a Monolithic Material Sorptive Extraction (MMSE) MonoTrap, a sorptive extraction device to extract fragrance from human skin, followed by analysis using Shimadzu GCMS-QP2050 (Fig.1). Additionally, Smart Aroma Database was used to simplify the method development.</p><h4><strong>Experimental</strong></h4><h5><strong>Instrumental and Analytical Conditions&nbsp;</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-QP2050"><strong>GCMS-QP2050</strong></a> (Shimadzu Corporation, Japan) was employed in this work (Fig. 1). The details of the system configuration is shown in Table 1. Sample acquisition was done by following the analytical method from Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Smart+Aroma+Database"><strong>Smart Aroma Database</strong></a>. MonoTrap SG DCC18 was purchased from GL Sciences, Japan (catalog no. 1050-70002).</p><h4><strong>Results &amp; Discussion&nbsp;</strong></h4><h5><strong>Fragrance Compounds Detection&nbsp;</strong></h5><p>The scan total ion chromatogram (TIC) of the diluted perfume sample is shown in Fig. 4. A total of 60 out of the 498 fragrance compounds in Smart Aroma Database were detected. These compounds were then monitored for this study. Fig. 5 shows a few mass chromatograms of the monitored fragrance compounds.</p><h5><strong>On-skin Fragrance Study&nbsp;</strong></h5><p>The on-skin fragrance study was conducted to evaluate the persistence of perfume compounds over time. Sampling was performed at three distinct time points: 15 minutes, 1 hour, and 6 hours after applying the perfume (as described in Fig. 2). Fig. 6 shows the percentage of compounds detected (out of 60 compounds) in these three different time points.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>In this study, we demonstrate the effectiveness of using GCMSQP2050 with Smart Aroma Database and Monotrap adsorbent to analyze the behavior of perfume fragrance on human skin. The result shows decrease percentage of number of compounds detected over time. The peak area of most compounds were reduced as well. Sampling repeatability shows that 57 out of 58 detected aroma compounds exhibiting %RSD values below 20% (n=3).</p>

News from LabRulezGCMS Library - Week 35, 2025

<p><strong>This study investigates peach ripening using Fourier transform near-infrared spectroscopy and volatilome-based headspace gas chromatography coupled to ion mobility spectrometry and mass spectrometry. A total of 344 samples from two varieties at different ripening stages were analyzed to identify optimal harvest timing.</strong></p><p>Principal component analysis revealed distinct clustering of samples by ripening stage. Using these groups, partial least-squares discriminant analysis models successfully differentiated both ripening stages and varieties. The results demonstrate strong potential for volatilome profiling with HS-GC–IMS and HS-GC–MS as reliable tools for monitoring peach quality.</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.jafc.5c01524"><strong>Fingerprinting of Peach During the Ripening Process Using an Analytical Platform with Spectrometric and Volatilome-Based Chromatographic Techniques</strong></a></h4><p>Claudia Giménez-Campillo, Natalia Arroyo-Manzanares, Marta Pastor-Belda, Natalia Campillo, Lukas Bodenbender, Philipp Weller, and Pilar Viñas*</p><p>J. Agric. Food Chem. 2025, 73, 26, 16636–16647</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.jafc.5c01524">https://doi.org/10.1021/acs.jafc.5c01524</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>Peach, along with nectarine, plum, apricot, cherry, and almond, belongs to the genus <i>Prunus</i> (genus described by Charles Linnaeus in 1753). <a href="javascript:void(0);">(1)</a> Originally from China, it is the second most important fruit in Europe after apple, <a href="javascript:void(0);">(2)</a> is of great economic importance, and is consumed fresh, canned and in juice. It is rich in vitamins, minerals, and antioxidants. Currently, in addition to China, there are other world leaders in the production of this fruit, including Spain, Italy, Turkey, and Greece. <a href="javascript:void(0);">(3)</a></p><p>In recent decades, consumer complaints about poor fruit quality have often been the result of premature harvesting for commercial reasons. This practice, while facilitating transport and distribution by extending the fruit’s presence in the market, has a negative impact on its flavor, texture, and nutritional value. Consequently, ripening monitoring and control have become an important part of fruit management. <a href="javascript:void(0);">(4)</a> Despite extensive research on the physicochemical properties of peaches during the ripening stage to obtain adequate maturity indices, objective indicators of consumer acceptance are still lacking. <a href="javascript:void(0);">(5)</a> Ripening time has been shown to be directly related to flavor characteristics, which are influenced by sugar accumulation, acidity, and the production of low-molecular-weight volatile organic compounds (VOCs), <a href="javascript:void(0);">(6)</a> also called volatilomes. Therefore, VOCs can be a key indicator in peach quality assessment. Understanding exactly which VOCs are responsible for aroma at different ripening stages can help to develop rational and objective methods to ensure high-quality fruit, both in consumption and processing. <a href="javascript:void(0);">(7)</a> This approach would not only be beneficial for consumers, who would receive products with optimal flavor, texture, and nutritional value, but also would support producers.</p><p>A literature review reveals the existence of several studies on the characteristic volatile profile of peaches. <a href="javascript:void(0);">(1,8−14)</a> However, it is important to note that there is a significant lack of research on the variation of these compounds during ripening. <a href="javascript:void(0);">(15)</a> Most of the works on VOC determination used gas chromatography coupled to mass spectrometry (GC–MS) <a href="javascript:void(0);">(1,6,8−19)</a> and solid-phase microextraction as the sample preparation technique. <a href="javascript:void(0);">(6,9−12,15−17,19)</a> In recent years, ion mobility spectrometry (IMS) has been used as an alternative technique for the determination of VOCs in peach. <a href="javascript:void(0);">(11,12,18,20,21)</a> The aim of these studies was to investigate the volatile profile, <a href="javascript:void(0);">(11)</a> the differentiation between varieties, <a href="javascript:void(0);">(18)</a> and the influence of packaging and storage of this fruit. <a href="javascript:void(0);">(20,21)</a> Therefore, the current state-of-the art techniques reveal that GC–MS and GC–IMS techniques have not been applied to predict peach ripening. It has been shown that it is possible to predict optimal ripening by near-infrared spectrometry (NIR) in relation to the measurement of different parameters, such as soluble solid content, <a href="javascript:void(0);">(22−28)</a> flesh firmness, <a href="javascript:void(0);">(23,26,28,29)</a> pectin content, <a href="javascript:void(0);">(30)</a> dry matter, <a href="javascript:void(0);">(23−25)</a> absorbance difference index, <a href="javascript:void(0);">(25,26)</a> and acidity. <a href="javascript:void(0);">(27)</a></p><p>The objective of this work was the development of methodologies for the prediction of the ripening stage of peaches and, therefore, of their quality for the consumer by means of a simple analysis based on their VOC content, applying headspace GC (HS-GC)–MS and HS-GC–IMS techniques and on their Fourier transform near-infrared spectroscopy (FT-NIR) spectral fingerprint. The novelty of the study lies in the fact that correlations have not been established with other chemical parameters measured in peaches, but rather chemometric models based on an analytical platform have been applied to obtain relevant information on the ripening of this fruit. The studies were conducted on two different peach varieties (yellow-fleshed and red-fleshed) grown in one geographical origin of the agricultural sector (Jumilla, Region of Murcia, Spain), which have not been previously analyzed, and chemometric models were also applied to discriminate between these two varieties.</p><h4><strong>2. Materials and Methods</strong></h4><h5><strong>2.2. Instruments, Analytical Procedures, and Data Processing</strong></h5><h5><strong>2.2.1. FT-NIR Analysis</strong></h5><p>FT-NIR analysis was performed using a FT-NIR multipurpose analyzer spectrophotometer, equipped with a solid sample compartment, from Bruker Optik GmbH (Ettlingen, Germany).</p><p>A weight of 0.5 g of homogenized peach was placed in a vial and measured by FT-NIR in the reflectance mode. Before each analysis, a background scan was performed, and the measurement was repeated five times. Spectral data covered the wavenumber range from 12,500 to 3600 cm<sup>–1</sup> with a resolution of 8 cm<sup>–1</sup> and are expressed in units of absorbance. Each spectrum was obtained from 32 scans, and the average of the five measurements for each peach sample was calculated to obtain a representative spectrum.</p><p>The FT-NIR software used to process the data was OPUS software, version 8.5. In addition, the data set obtained was subjected to three transformations using Unscrambler X software. Multiplicative scattering correction was applied to correct for the effects of particle-size-induced light scattering effects. Next, Savitzky–Golay smoothing was applied (window = 9, polyorder 2, first derivative) to reduce the inherent instrumental noise and to correct for the additive and multiplicative effects present in the spectrum. The full spectrum (2224 features) was used as a variable in the chemometric models constructed from the FT-NIR data. This approach was adopted in order to make use of all available spectral information given the observed variations between the samples across the entire range studied.</p><h5><strong>2.2.2. HS-GC–IMS Analysis</strong></h5><p>For GC-IMS analysis, a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=6890N"><strong>6890N gas chromatograph</strong></a> (version N.05.05) from Agilent Technologies (Waldbronn, Germany) was coupled to a G.A.S. (Gesellschaft für Analytische Sensorsysteme) IMS module (Dortmund, Germany). A <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=2&amp;search=multipurpose+sampler"><strong>multipurpose sampler</strong></a> (MPS) from Gerstel GmbH (Mühlheim, Germany) was used, configured for headspace mode and injecting the sample in the gas phase, using a 2.5 mL syringe. The carrier gas was nitrogen with a purity of 99.99%, operated at a constant flow rate of 1 mL min<sup>–1</sup>, and supplied by Air Liquide (Madrid, Spain). An Agilent HP-5MS UI capillary column (0.25 mm × 30 m with a film thickness of 0.25 μm), consisting of 5% diphenyl and 95% dimethyl polysiloxane, was used for the analysis.</p><h5><strong>2.2.3. HS-GC–MS Analysis</strong></h5><p>GC–MS analysis was carried out on an Agilent Technologies (Santa Clara, CA, USA) model <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890+gas+chromatograph"><strong>8890 gas chromatograph</strong></a> and an Agilent <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B"><strong>5977B quadrupole mass spectrometer</strong></a> equipped with an inert ion source. A <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=2&amp;search=multipurpose+sampler"><strong>Gerstel MPS</strong></a> operating in headspace mode was used for sample injection.</p><h4><strong>3. Results and Discussion</strong></h4><h5><strong>3.2. Spectral Peach Fingerprint Using FT-NIR</strong></h5><p>The spectral fingerprints of the peaches analyzed showed very similar profiles, with differences in the absorbance values. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c01524#fig1">Figure 1</a> shows the FT-NIR spectra of the average raw data obtained from all peach samples collected at different stages of ripeness, recorded in the range 12,500–3600 cm<sup>–1</sup>. It is observed that as the ripening stage progresses, the absorbance increases in the range 11,800–3600 cm<sup>–1</sup>.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/J_Agric_Food_Chem_2025_73_26_16636_16647_Figure_1_Raw_FT_NIR_spectra_of_the_average_of_all_peach_samples_at_different_stages_of_ripening_T_b6e18989f1.jpg" alt="J. Agric. Food Chem. 2025, 73, 26, 16636–16647: Figure 1. Raw FT-NIR spectra of the average of all peach samples at different stages of ripening. The figure shows the FT-NIR spectra corresponding to the average of peach samples at different stages of ripeness: the blue spectrum represents unripe peaches, the red spectrum also represents unripe peaches but in a more advance ripeness process, and the green spectrum represents ripe peaches ready for consumption. Also, the most representative absorption bands of the peach observed in the spectra are indicated." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_J_Agric_Food_Chem_2025_73_26_16636_16647_Figure_1_Raw_FT_NIR_spectra_of_the_average_of_all_peach_samples_at_different_stages_of_ripening_T_b6e18989f1.jpg 245w," sizes="100vw" width="1600" height="857"></p><p>In the spectrum of the different peach samples, four different regions can be identified according to the NIR bands: 12,500–9400 cm<sup>–1</sup>, 9400–7700 cm<sup>–1</sup>, 7700–5800 cm<sup>–1</sup>, and 5800–3600 cm<sup>–1</sup>. Peach samples contain mainly water (85–95%) in their composition, and therefore characteristic water bands were found from right to left, including bands with different absorbances. In the first region, from 5800 to 3600 cm<sup>–1</sup>, there is a broad absorption band with a maximum at around 5160 cm<sup>–1</sup>, which corresponds to the first combination of asymmetric stretching and bending of the water molecule. Also, in this region, there is another narrow and weaker combination band at 5620 cm<sup>–1</sup>, associated with the bending, asymmetric stretching, and intramolecular modes of the water molecule. In the region between 7700 and 5800 cm<sup>–1</sup>, a broad band is observed at 6880 cm<sup>–1</sup> involving the symmetric and asymmetric stretching modes of the water molecule, known as the first overtone of OH stretching. Between 9400 and 7700 cm<sup>–1</sup>, there is a second weak combination band involving the symmetric stretching, asymmetric stretching, and bending modes of the water molecule. Finally, in the region from 12,500 to 9400 cm<sup>–1</sup>, an absorption band related to the asymmetric and symmetric stretching modes of the water molecule is observed, called the second overtone of OH stretching. <a href="javascript:void(0);">(35)</a> The spectra show that the maximum absorbance value of each band increases as the ripening stage progresses. This correlation suggests that the ripening process in peaches is associated with an increase in water content, which affects the texture, weight, and possibly the flavor of the fruit.</p><h5><strong>3.3. Identification and Quantification of Volatile Compounds Using GC–MS and GC–IMS</strong></h5><p>The volatile fingerprint of the peach samples was established by using GC coupled to MS and IMS detectors. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c01524#fig2">Figures 2</a> and <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c01524#fig3">3</a> show a topographical map using IMS and a chromatogram obtained by the MS detector for a peach sample, respectively. In both cases, identification of the VOCs was carried out.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/J_Agric_Food_Chem_2025_73_26_16636_16647_Figure_2_Topographic_map_of_a_peach_sample_264e0b037c.jpg" alt="J. Agric. Food Chem. 2025, 73, 26, 16636–16647: Figure 2. Topographic map of a peach sample. The figure shows a topographical map obtained by HS-GC–IMS, indicating the VOCs identified and verified in peach samples." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_J_Agric_Food_Chem_2025_73_26_16636_16647_Figure_2_Topographic_map_of_a_peach_sample_264e0b037c.jpg 214w," sizes="100vw" width="996" height="726"></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/JAGRIC_3_28c1356481.jpg" alt="J. Agric. Food Chem. 2025, 73, 26, 16636–16647: Figure 3. Chromatogram of a peach sample. The figure shows a chromatogram obtained by HS-GC–MS, indicating the compounds identified and verified in peach samples." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_JAGRIC_3_28c1356481.jpg 212w," sizes="100vw" width="1600" height="1182"></p><p>Untargeted studies were performed by processing the raw data from the HS-GC–MS analysis of the samples using MS-DIAL software under the conditions described in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c01524#sec2_2_3">Section 2.2.3</a>. A total of 427 features were extracted from the peach samples, taking into account the different varieties and the whole ripening process.</p><p>HS-GC–IMS was used to obtain the topographical maps of all samples. The GC–MS metabolomic MSP spectral library and the GAS IMS library allowed putative identification of some of the features detected.</p><h4><strong>Conclusion</strong></h4><p>The results obtained allow us to conclude that both the quality and the specific variety of the peach can be verified by a single analysis of the volatilome or the NIR spectral fingerprint. However, better results are obtained in both cases when working with the volatile profile, since HS-GC–MS and HS-GC–IMS techniques are more powerful and specific tools. Although HS-GC–MS stands out for its high resolution and sensitivity, its high cost, the need for vacuum conditions, and the large size of the equipment limit its applicability in sectors with limited resources such as many fruit quality control companies. In contrast, the HS-GC–IMS technique offers greater simplicity, accessibility, and cost-effectiveness, as it requires less energy and resources, making it a more efficient and sustainable option. <a href="javascript:void(0);">(40)</a> Furthermore, its ability to provide results comparable to those of HS-GC–MS, as demonstrated in this work, underscores its potential as an ideal alternative for many studies seeking to reduce resource consumption without compromising analytical quality. <a href="javascript:void(0);">(41)</a></p><p>In summary, multiple factors must be considered to determine the best analytical tool for carrying out routine controls aimed at verifying the authenticity of labeling and predicting the optimal stage of ripening in order to prevent food fraud and minimize economic losses. These factors include economic cost, analysis time, complexity of sample preparation, and discrimination capability of the generated models. Although the FT-NIR technique allows for fast and relatively low-cost analysis, its analytical performance is significantly low. In some cases, the classification and validation percentages are close to 70%. HS-GC–MS, on the other hand, has shown very good discrimination capacity (with values above 87%), but it is limited by its high operating cost and greater instrumental complexity. Considering all these aspects, the technique that offers the most balanced approach for implementation in routine controls is HS-GC–IMS, as it combines excellent discrimination capability (with classification and validation percentages above 90% in all cases studied) with moderate analysis times, very simple sample preparation, and not very high operating costs. These features make HS-GC–IMS a particularly suitable tool for practical applications requiring a high degree of reliability, efficiency, and sustainability.</p><p>Although the results obtained were very promising, particularly regarding the volatile profiles analyzed by HS-GC–IMS and HS-GC–MS, the study has some limitations. First, the study focused on two peach varieties grown in a specific geographical region, so the applicability of the developed models to other varieties or geographical origin requires additional validation. Furthermore, while the chromatographic techniques used were successful, they call for specialized equipment, which might restrict their use in some situations. Future research should consider expanding the number of varieties and geographical origins.</p>

Fingerprinting of Peach During the Ripening Process Using an Analytical Platform with Spectrometric and Volatilome-Based Chromatographic Techniques

Flavor Characteristics of Different Varieties of Flue-Cured Tobacco Based on Headspace Gas Chromatography–Ion Mobility Spectrometry and Headspace Solid-Phase Microextraction–Gas Chromatography–Mass Spectrometry

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 6th October 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 poster by <strong>Agilent Technologies / AOAC, </strong>application notes by<strong> EST Analytical </strong>and<strong> Shimadzu </strong>and brochure by <strong>Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies / AOAC: Method Translation for the Analysis of Vanilla Extracts Using a Compact, Single Channel GC-FID and Carrier Gas Switching Module</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/ps_vanilla_single_channel_gcfid_carrier_gas_aoac_2025_w020_en_agilent_17c7d568c9.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Vanilla is a flavor variety that has been heavily impacted by changes in consumer habits as well as by supply and demand of vanilla beans used to produce high-quality vanilla extracts. Unfortunately, these market conditions, increase the likelihood of adulteration in vanilla extracts by use of aroma chemicals that are not naturally occurring. Common adulterants are coumarin (C), ethyl vanillin (EV), eugenol (E), and guaiacol (G).2,3 Adulteration impacts the standard of identity for vanilla extracts established by the U.S. FDA; therefore, flavor companies rely on QC labs to implement reliable and sensitive analysis techniques for screening incoming raw ingredients against expected purity standards before the ingredient can enter a flavor formula on the manufacturing floor. Screening is typically executed with gas chromatography (GC)- based methods adapted from those used in a R&amp;D lab. However, differences in column length, diameter, and phase can make it seem challenging to harmonize GC methods across the R&amp;D and QC functions within a company due to the different analysis objectives of the respective laboratories.&nbsp;</p><h4><strong>Experimental Goals</strong></h4><ul><li>Demonstrate the ease of the Agilent Method Translator in harmonizing GC methods for multiple columns and gases&nbsp;</li><li>Establish method precision, linearity, and resolution on standards of vanilla-like adulterants using the translated methods&nbsp;</li><li>Successfully showcase the method translation using store-bought extracts to verify the integrity of the fastest GC method on samples containing matrix&nbsp;</li><li>Screen for and quantify any vanilla adulterants in the samples of vanilla extracts with the goal of detecting no adulterants using the fastest GC method.</li></ul><h4><strong>Experimental&nbsp;</strong></h4><ul><li><strong>GC System:</strong> <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8850+GC"><strong>Agilent 8850 GC</strong></a> with <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=7693A+Automatic+Liquid+Sampler"><strong>7693A Automatic Liquid Sampler</strong></a></li></ul><h4><strong>Conclusions</strong></h4><h5><strong>Method Translation</strong></h5><ul><li>The method translator tool provided an easy conversion of a 50-minute-long method to one that is &lt; 5 minutes resulting in a speed gain of 10-fold and 14-fold, for He and H2 carrier gases, respectively (Figures 2 and 3)&nbsp;</li><li>Resolution of analytes were &gt;4 on the 60 m and &gt;3.5 on the 10 m DB-1 columns (Table 2)</li><li>Precision was &lt;1.85% RSD and &lt;2.5% RSD for He and H2 carrier, respectively (Table 3)</li><li>Linearity was demonstrated from 10 ppm to 100,000 ppm for He and H2 carrier with R2 ranging from 0.9997 to 1.0000&nbsp;</li></ul><h5><strong>Carrier Gas Switching</strong></h5><ul><li>He and H2 carrier gases were alternated line by line in a sequence table for increased analytical efficiency and higher throughput while demonstrating the flexibility the helium conservation module provides its users while also eliminating manual changes to plumbed gases at the GC EPC Module.</li></ul><h3><strong>2. EST Analytical: Optimizing 8260 Sample Throughput - Solutions for the Determination of Bromomethane by Purge and Trap</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_Solutions_for_the_Determination_and_Stability_of_Bromomethane_by_P_and_T_App_Note_Rev_2_177c75d029.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The United States Environmental Protection Agency’s (USEPA) Method 8260 has an extensive list of compounds of interest. In order to purge and trap these analytes, there needs to be an analytical trap able to trap these compounds and desorb them to the Gas Chromatograph/Mass Spectrometer (GC/MS) both accurately and efficiently. Due to the broad range of compounds on the Method 8260 list, there are many issues to take into account. Purge efficiency, molecular weight, volatility, and water are among the most problematic issues. The purge and trap concentrator and analytical trap must be able to account for all of these concerns.&nbsp;</p><p>The most commonly used analytical trap is the Vocarb® 3000 due to its ability to trap and desorb the extensive analyte list both effectively and correctly. However, the Vocarb® 3000 trap is not without its drawbacks. One of which is Bromomethane degradation in the trap over time. This application will examine the Vocarb® 3000 and a custom trap along with the optimum trap temperature parameters for the stability of Bromomethane.&nbsp;</p><h4><strong>Experimental</strong></h4><p>The purge and trap concentrator used for this study was the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2160"><strong>EST Analytical Evolution</strong></a>. The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2159"><strong>Centurion Water and Soil autosampler</strong></a> equipped with the syringe option was employed as the autosampler. Separation and analysis of the volatile compounds was performed by the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=1&amp;search=7890A"><strong>Agilent 7890A Gas Chromatograph (GC) </strong></a>and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B"><strong>5977B Mass Spectrometer</strong></a> (MS). The GC was configured with a <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=9&amp;search=Rxi-624+Sil+MS"><strong>Restek Rxi624 Sil MS</strong></a> 30m x 0.25mm x 1.4µm column. The purge and trap parameters and analytical traps used for this study are listed in Tables 1 and 2 while Table 3 details the GC/MS parameters.</p><h4><strong>Conclusions</strong></h4><p>Initially, all of the traps and heating parameters used in the EST Analytical Evolution met USEPA method 8260 requirements and could be used in the laboratory. However, the custom trap and the higher temperature desorb and bake showed a lower response when compared to using a lower temperature desorb and bake. Furthermore, over time, the custom trap and higher temperature desorb and bake displayed lower recoveries of Bromomethane which could in turn affect the continuing calibration standards. The Vocarb® 3000 trap with the lower temperature desorb and bake proved to be the optimum method for sampling USEPA Method 8260 compounds. The technique met all of the method requirements and exhibited the best response and stability not only for Bromomethane but also for the rest of the extensive compound list.</p><h3><strong>3. Shimadzu: Quantitative Analysis of Furan and Alkylfurans in Processed Food Using Headspace GC-MS</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_00906_en_878a49b98e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Furan and alkylfurans are aromatic compounds with a fivemembered ring structure. Furan and some alkylfurans, such as 2-methylfuran, 3-methylfuran, and 2,5-methylfuran (furan with a hydrocarbon chain attached), are found in processed food. They are generated through a variety of pathways during heat treatment of the food. Some countries have studied these compounds and concluded they are a health concern. 1) At present, no country has set permissible levels for furan or alkylfurans in food. But since they are harmful substances that are generated unintentionally during the processing of food, analyzing them is becoming increasingly important. In this Application News, the levels of furan and alkylfurans in commercially available processed food were measured.</p><h4><strong>Equipment&nbsp;</strong></h4><p>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GCMS-QP2050"><strong>GCMS-QP2050</strong></a> gas chromatograph mass spectrometer has a compact design for a smaller installation footprint. When combined with the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=HS-20+NX"><strong>HS-20 NX headspace sampler</strong></a>, the GCMSQP2050 can simply and accurately measure furan and alkylfuran levels in processed food. The DuraEase ion source, which is specifically designed for durability and ease of maintenance, also providesreduced maintenance requirements.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>In this Application News, headspace GC-MS analysis was used to measure levels of furan and alkylfurans in processed food. Analysis of standard samples produced good results in terms of separation, calibration curve linearity, and repeatability. Analyzing food samples and comparing the results obtained by the external standard method and the standard addition method showed that the matrix effects differed depending on the sample.</p><h3><strong>4. Thermo Fisher Scientific: Everything You Need in a GC Detector: VGA-100 Gas Chromatography Detector for TRACE 1600 Series GC</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/br_003592_gc_vuv_detector_vga_100_isomers_br003592_na_en_0a48830aff.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>Performance synergy—the VGA-100 detector and the </strong><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/483"><strong>TRACE 1600 Series GC</strong></a><strong>&nbsp;</strong></h4><p>VUV absorbance and gas chromatography offer a perfect match, joining insights on light absorption in the VUV range with each compound’s unique gas phase absorption features. The innovative VUV absorption technology of the VGA-100, combined with the robust and reliable performance of the Thermo Scientific™ TRACE™ 1600 Series gas chromatograph, offers a powerful analytical solution to support timecritical laboratory demands.&nbsp;</p><p>Harnessing breakthrough gas chromatography technology, VGA-100 provides unmatched precision and data quality with faster results and higher sample volume. Experience analytical insights with a system designed for ease of use that delivers accurate, reportable results across a diverse range of industries.</p><h4><strong>Explore the benefits of VUV technology&nbsp;</strong></h4><p>The unique capabilities of the VGA-100 detector for the TRACE 1600 Series GC help solve common challenges, such as correct isomer identification, poor selectivity, long method run times, analyte co-elution, burdensome data processing and analysis, and method scalability to production environments.&nbsp;</p><h5><strong>Expand detectable compounds.&nbsp;</strong></h5><p>Access to a wider range of analytes with enhanced sensitivity towards impurities as well as accurate sample profiling, thanks to the combined universal and selective response of the VGA-100 detector.&nbsp;</p><h5><strong>Unambiguous identification.&nbsp;</strong></h5><p>The VGA-100 universal mass-sensitive detector delivers comprehensive data for robust analysis. Data provided in 3D (time, wavelengths, and intensity) supports reliable identification through spectra that can be matched to a dedicated library, including isomers discrimination.&nbsp;</p><h5><strong>Ease of use and maintenance.&nbsp;</strong></h5><p>Robust and easy to set up and operate, the VGA‑100 requires minimal maintenance, with no vacuum pumps required. An intuitive design supports high demands for throughput and compliance, supporting the needs of both research and quality control laboratories.&nbsp;</p><h5><strong>Faster analysis.&nbsp;</strong></h5><p>Obtain rapid and accurate results with the advanced capabilities of VUV technology, complemented by the fast and efficient chromatographic separation of the TRACE 1600 Series GC.&nbsp;</p><h5><strong>VUV Analyze Software for push-button simplicity&nbsp;</strong></h5><p>The advanced post-acquisition processing capabilities of VUV Analyze™ Software (VUV Analytics, Inc.) allows laboratories to generate meaningful results with just the push of a button. This cutting-edge software platform swiftly analyzes complex chromatographic and spectral data, delivering method-specific results and reports. By automating the analysis process, VUV Analyze Software significantly streamlines and speeds up each run while minimizing errors, leading to greater confidence in results.</p>

News from LabRulezGCMS Library - Week 41, 2025

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 10th 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: Improved Thermal Stability Leads to Retention Time Stability and Data Accuracy for the Analysis of Pesticides</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_pesticide_gc_ms_5994_8447en_agilent_773f1f135b.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The analysis of trace-level pesticides is required by many governmental regulatory authorities at varying concentrations and can include hundreds of target analytes. As many of the matrices tested are complex and the analytes active, a robust and inert gas chromatography method is required.<sup>1</sup> Heavy matrices can be difficult for analytical gas chromatography columns, and higher temperatures may be required to elute the matrix off of the column. To avoid damage from high temperatures and heavy matrix, a thermally stable and ultra inert analytical column phase is needed to successfully perform this analysis. The Agilent J&amp;W 5Q series of gas chromatography columns provide the most thermally stable column available and offer inertness for difficult analytes.<sup>2</sup> The increased thermal stability not only dramatically reduces column bleed but also allows for less spectral interference at higher temperatures, leading to less need for background subtraction when searching analyte spectra against commercially available libraries.&nbsp;</p><p>While column bleed is a normal phenomenon, the increase of the baseline due to column bleed is an indication of the column phase breaking down and leading to retention time shifts. Retention time shifting can be especially difficult with the analysis of pesticides, since sensitive detectors such as mass spectrometers and triple quadrupole systems collected in selected ion mode (SIM) or multiple reaction monitoring (MRM) mode are required to achieve lower limits of detection. In both SIM and MRM collection methods, time segment windows are stated for analytes of interest, and if a retention time shifts earlier, it can move out of the collection window and require time to update the analytical collection method. By using a GC column with increased thermal stability, such as the Agilent J&amp;W DB-5Q or the Agilent J&amp;W HP-5Q, the column will be more robust to thermal and matrix damage. These columns will also maintain consistent retention times over long periods of analytical stress.&nbsp;</p><p>Retention time locking is a useful tool in the analysis of pesticides, as it can adjust column flow or pressure to normalize retention times, so that the retention times of the analytes are the same from system to system or column to column.<sup>3,4</sup> When columns with identical selectivity are interchanged, after a single injection of a test mix, the analysis can be relocked and the column flow adjusted, based on the initial calibration, to be identical as in the original method. This eliminates the need to constantly update retention times in analytical methods for SIM or MRM windows or data processing methods when replacing analytical columns.&nbsp;</p><p>When analyzing pesticides in heavy matrix, a guard column can serve two additional benefits. The guard column can help protect the analytical column from heavy matrix damage and can improve solvent and sample focusing. It is recommended to use nonpolar solvents when working with nonpolar column phases, such as the DB-5Q and HP-5Q columns. Recently it has become more common to prepare heavy matrices for pesticide analysis using QuEChERs-type preparations, with a final solvent of acetonitrile. Solvent-column phase polarity mismatch can lead to improper solvent focusing and wettability leading to improper peak shape, especially when working with columns that have low free silanol content on the deactivated surface of the fused silica. Use of a guard column can help to refocus the solvent and analytes to maintain proper peak shape.<sup>5</sup>&nbsp;</p><p>The Agilent 7010D GC/TQ uses the new Agilent High Efficiency Source (HES) 2.0 equipped with a novel dipolar RF lens that redirects carrier gas and low mass ions by &gt;&nbsp;95%, helping to reduce noise and extend instrument robustness while maintaining sensitivity.<sup>6</sup> When using DB-5Q and HP‑5Q columns in conjunction with the HES 2.0, it is possible to increase the overall robustness of the workflow for the analysis of pesticides over a wide dynamic range of analyte&nbsp;concentrations.&nbsp;</p><h4><strong>Experimental&nbsp;</strong></h4><p>An <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890"><strong>Agilent 8890 GC</strong></a> coupled with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B"><strong>Agilent 5977B GC/MSD</strong></a> with an Inert Extractor Source was used for acquisition of data and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=MassHunter+10.0+Qualitative+Analysis"><strong>MassHunter 10.0 Qualitative Analysis software</strong></a> was used for data analysis. NIST20 library was used to confirm peak identification. A retention gap of one meter was used as a guard column to help protect the analytical column from heavy matrix and to aid in solvent focusing.</p><h4><strong>Results and discussion&nbsp;</strong></h4><p>The analysis of pesticides requires retention time stability as well as consistency from analytical column to analytical column. To compare the analytical performance of an Agilent J&amp;W DB-5Q to an Agilent J&amp;W DB-5ms UI GC column for the analysis of pesticides, a standard was first analyzed on a DB-5ms UI and the retention time locked for chlorpyrifosmethyl. The DB-5ms UI column was then replaced with a DB-5Q, and once the column was conditioned, the representative pesticide mix was again analyzed and relocked to the appropriate retention time for chlorpyrifos-methyl and analyzed again. Figure 1 demonstrates the identical selectivity of the DB-5ms UI to the DB-5Q phases and the ability to relock an existing analytical method when upgrading columns and compatibility with existing retention time locking libraries.&nbsp;</p><p>Additionally, when comparing the baseline of the DB-5Q to the DB-5ms UI column at the upper temperature limit of the chromatographic method, the increased thermal stability of the DB-5Q allows for a significant decrease in column bleed at upper temperature limits (Figure 1).</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This application note demonstrated that the Agilent J&amp;W DB-5Q column has identical selectivity to the Agilent J&amp;W DB-5ms UI column, allowing for seamless adoption and use with existing retention time locking methods. The robust DB-5Q column phase maintained retention time stability even when analyzing heavy matrices and temperature cycling. The increased thermal stability not only decreased the baseline at higher temperatures but also allowed for less spectral interference and high library match factor scores. The analytical performance of the Agilent J&amp;W DB-5Q column coupled with the Agilent 7010D with the HES 2.0 ion source allows for optimal sensitivity and wide dynamic range of pesticide compounds.</p><h3><strong>2. EST Analytical: Automated Sampling of Methanol Extractions</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_Automated_Sampling_of_Methanol_Extractions_f521577cc4.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Environmental labs are required to perform methanol extractions on highly contaminated solid waste samples. Additionally, these extractions are used for difficult matrices, for example oily waste samples, that are also soluble in methanol. Due to the variety of matrices that can be extracted with methanol there are assorted hurdles to cross in order to automate the sampling process. One of these obstacles is how the matrix can absorb the extraction solvent. For example, many soil samples require more methanol; due to the soil expanding with the solvent addition. Adding more methanol aids in rectifying this issue however, when automating sampling, the added methanol coupled with the soil expansion needs to be accommodated. For this reason, EST Analytical created software for the Centurion WS that allows the user to program the needle depth to different distances. In doing this, laboratories are able to sample soils at higher depths in order to adjust for sample absorption and at lower depths for samples that do not require the added solvent. In order to test volatile compounds in methanol extractions, a portion of the extract needs to be sampled from the vial, diluted, and purged on a purge and trap concentrator. This examination will look at the automated sampling of three different soil matrices.&nbsp;</p><h4><strong>Experimental:&nbsp;</strong></h4><p>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2159"><strong>Centurion WS autosampler</strong></a> with the syringe option and the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/2160"><strong>Evolution purge and trap concentrator</strong></a> were set up to run methanol extractions. Since this is a volatile analysis, a Vocarb 3000 (K) trap was used for the analytical trap. The sampling system was configured to an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1-10&amp;search=7890A"><strong>Agilent 7890A Gas Chromatograph (GC)</strong></a> and an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1-10&amp;search=5975C"><strong>Agilent 5975C inert XL Mass Spectrometer (MS)</strong></a>. The column selected for this analysis was a Restek Rxi®-624 Sil MS, with dimensions of 30m x 0.25mm I.D. x 1.4µm film thickness. Experimental parameters used for this analysis are listed in Tables 1 and 2.</p><h4><strong>Conclusions:&nbsp;</strong></h4><p>The system produced excellent results. The curve and the compound response factors met all of the method requirements. The overall precision was less than 5% RSD while the system showed an average recovery of 94%. When examining the expected analyte concentration to the extracted sand results, it was found that the average recovery was approximately 102%. Thus, the automated extraction performed extremely well. When comparing the three different matrices it was found that they all displayed similar recoveries, however the sand matrix did perform the best of the three as expected since sand tends not to absorb analytes as readily as other matrices. Finally, the ability to control the needle depth on extraction samples was a great benefit for the different matrices as the system exhibited no issues with needle clogging due to the higher needle depth when performing the potting soil extractions. As demonstrated from this study, the Centurion WS automated extraction capability would be an asset to any lab performing extractions.</p><h3><strong>3. Shimadzu: Fatty Acid Analysis of Edible Oils by GC</strong></h3><p><strong>Comparing Helium and Hydrogen as Carrier Gases</strong></p><p><strong>Comparing Analysis by GC with a Simple Screening Analysis by LC-MS</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00852_en_e928ab40ea.pdf"><strong>Full PDF for download</strong></a></li></ul><p>There are a variety of edible oils that are sold commercially for a range of uses. They are almost entirely composed of compounds called triacylglycerols (neutral lipids), which consist of three fatty acids bound to a glycerol molecule. Because fatty acids affect the functional characteristics of food, determining the fatty acid composition of food is an important area of analysis. In this Application News, the Brevis GC-2050 (GC-FID) is used to determine the fatty acid composition of commercially available edible oils, and the use of hydrogen as a carrier gas is examined and compared with helium. This Application News also analyzes the same edible oils analyzed by LC-MS in a previous Application News1) and comparesthe results.</p><h4><strong>Equipment&nbsp;</strong></h4><p>GC-FID analysis was performed using the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=Brevis+GC-2050"><strong>Brevis GC-2050</strong></a> gas chromatograph (Fig.1) , which is designed to be highly compact, with an installation footprint 35 % smaller than the previous model. The Brevis GC-2050 is also equipped with a carrier gas saving mode that reduces carrier gas consumption. The carrier gas saving mode reduced the use of helium carrier gas by around 89 % and hydrogen carrier gas by around 79 % in the analyses described in this article. Hydrogen carrier gas also reduced analysis times by around 25 %.</p><h4><strong>Results from Real-World Sample Analysis&nbsp;</strong></h4><p>Edible oils were derivatized and analyzed using both helium and hydrogen carrier gases. Peaks that could not be identified with the calibration standard (37 FAME mixture) were analyzed by GC-MS to determine their carbon number and degree of unsaturation. (Labeled as isomer.) Fig. 4 shows the chromatograms (partial) obtained from analyzing linseed oil with helium and hydrogen carrier gases. Similar separation was achieved with both gases.</p><h4><strong>Comparing GC-FID and FIA-MS&nbsp;</strong></h4><p>Tables 5 and 6 compare the results of analyzing eight vegetable oils for fatty acids by FIA-MS (screening analysis) and GC-FID (a helium carrier). The results reveal characteristic features of the vegetable oils, such as the most abundant fatty acids, and that coconut oil contains fatty acids with relatively low carbon numbers. More information about the screening analysis performed with a single quadrupole mass spectrometer can be found in Shimadzu Application News 01-00674-EN. <sup>1)</sup></p><h4><strong>Conclusion&nbsp;</strong></h4><p>In this Application News, the Brevis GC-2050 was used to determine the fatty acid composition of edible oils. Fatty acid analysis is typically performed using helium as the carrier gas, but in this study, hydrogen was used. This reduced analysis times while producing results that compared favorably with helium. Given the current supply issues associated with helium, hydrogen should be considered as an alternative to helium.&nbsp;</p><p>The results also show that fatty acid compositions determined by FIA-MS correlate well with results obtained by GC-FID. And because the sample pretreatment only requires sample dilution, analysis by FIA-MS is rapid, taking just 1 minute. Therefore, FIAMS seems particularly well-suited to the screening of large numbers of samples or when there is an urgent need to verify quality or safety</p>

News from LabRulezGCMS Library - Week 46, 2025

Green Ultrasound-Assisted Dispersive Liquid–Liquid Microextraction Coupled to GC–MS for Simultaneous Determination of Lipid-Peroxidation- and Maillard-Derived Carbonyl Compounds in Plant-Based Beverages

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 15th December 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 application notes by <strong>Agilent Technologies, Shimadzu </strong>and brochure by<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Increased Thermal Stability of the DB‑5Q GC Column</strong></h3><p><strong>Increased signal-to-noise for trace level concentrations of controlled substances</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_stability_gc_column_5994_8658en_agilent_4c52ae52cf.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The analysis of controlled substances by gas chromatography/mass spectrometry (GC/MS) requires a high level of confidence and thus requires a method that provides optimal data quality. Identification of controlled substances relies heavily on comparison of mass spectra to commercially available spectral libraries, and increased column bleed can cause spectral interference at high temperatures. These interferences can lead to poor library matching probabilities.<sup>1-3 </sup>The <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=J%26W+5Q"><strong>Agilent J&amp;W 5Q series</strong></a> of gas chromatography columns provide the most thermally stable columns available, which helps to decrease spectral interference due to column bleed and improves data accuracy.&nbsp;</p><p>Poor thermal stability will cause an increase in the slope of the baseline as the oven temperature is increased, leading to difficult peak integrations and inaccurate quantitation. Additionally, sloped or elevated baselines can lead to a decreased response and a loss of sensitivity for analytes eluting during the oven ramp or at the method’s upper temperature limits. Several commercially available 5ms type columns were compared to the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=J%26W+DB-5Q"><strong>Agilent J&amp;W DB-5Q GC column</strong></a> to examine the impact thermal stability has on response at upper temperature limits.&nbsp;</p><h4><strong>Experimental&nbsp;</strong></h4><p>An <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=8890+GC"><strong>Agilent 8890 GC system</strong></a><strong> </strong>coupled with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=5977B"><strong>Agilent 5977B mass selective detector (GC/MSD)</strong></a> with an inert extractor ion source was used for acquisition of data and MassHunter 10.0 Quantitative and Qualitative Analysis software was used for data analysis.&nbsp;</p><p>A representative toxicology mixture, the Agilent GC/MS forensic toxicology checkout mixture (part number 5190-0471) was used to monitor analytical performance. Calibration standards were prepared in methanol (MeOH) at concentrations ranging from 0.1 to 3.0&nbsp;μg/mL. An internal standard mix was prepared at 10&nbsp;μg/mL from individual stocks of methamphetamine-d3, diazepam-d5, and hydrocodone-d6 all purchased from Millipore Sigma (St.&nbsp;Louis, MO).</p><h4><strong>Results and discussion&nbsp;</strong></h4><p>The testing evaluated the Agilent J&amp;W DB-5Q GC column for the analysis of controlled substances by GC/MS. The increased thermal stability of the DB-5Q is seen in the decreased baseline at higher temperatures, as seen in Figure&nbsp;1, and also provides a decrease in the slope during the oven ramping program.&nbsp;</p><p>An increase in the slope of the baseline will also decrease the signal-to-noise ratio (S/N) of an analyte but will also make integration more difficult and lead to less accurate quantitative results. Figure 2 demonstrates the comparison of the DB-5Q and the commercially available 5ms type G column, and the impact to chromatography during the oven ramp. The S/N for the analytes on the oven ramp slope are a factor of ten or greater for the DB-5Q in comparison to the 5ms type G column.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>The increased thermal stability of the Agilent J&amp;W DB-5Q GC column demonstrated in this application note provides a decreased baseline at higher temperatures, which allows for an increased response for later eluting compounds at trace level concentrations. The baseline of the DB-5Q remains more consistent as the temperature is increased. This consistency allows for more accurate integration and quantitation for analytes eluting during oven ramping, in comparison to other commercially available 5ms-type columns. The robust DB-5Q column phase maintained peak shape for trace level basic compounds even when stressed with a heavy matrix and is an excellent choice for the analysis of controlled substance&nbsp;analysis.</p><h3><strong>2. Shimadzu: Quantitative Analysis of Anti-Degradant Additive (6PPD) in Tire Rubber Using Pyrolysis-GC-MS</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_00952_en_b95b2348e5.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>The simple analysis procedure required just cutting off a sample fragment and placing it in a sample cup without pretreatment.</li><li>Utilizing a calibration standard that includes a resin solution allows for analysis under conditions that closely resemble those of samples, which improves the reliability of quantitative measurements.</li><li>With Shimadzu’s Polymer Additive Library, it is possible to acquire information on the additives of identified compounds.</li></ul><p>6PPD (N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine) is an anti-degradant (anti-oxidant) additive that is used in many rubber products. Its chemical structure is shown in Fig. 1. It plays an important role in tires by preventing degradation and extending its lifespan. However, when 6PPD reacts with ozone in the atmosphere, it forms a highly toxic substance called 6PPD-quinone (6PPD-Q).&nbsp;</p><p>As an automotive tire wears, microscopic particles are released from the tire into the environment. These particles, tire road wear particles (TRWP), contain 6PPD-Q along with many other chemical substances. On rainy days, these particles are washed into rivers and other bodies of water, where they accumulate in the environment as microplastics.&nbsp;</p><p>There are serious concerns about the negative effects these microplastics have on ecosystems and the environment. 6PPDQ has been shown to induce acute mortality in Salmonidae fish, specifically coho salmon. 1)&nbsp;</p><p>Currently, there is no commercial alternative that can maintain tire stability and performance with minimal impact on the environment. Research into alternatives requires accurately assessing 6PPD levels in rubber products and objectively determining whether alternative compounds offer equivalent stability and performance while having a reduced impact on the environment.&nbsp;</p><p>This article describes using a pyrolysis gas chromatograph mass spectrometer (Py-GC-MS) system to measure 6PPD levels in tire rubber.</p><h4><strong>Analysis Process&nbsp;</strong></h4><p>ISO/TS 21396describes a method for determining the mass concentration of TRWP in soil and sediment that uses Py-GC-MS. Similar to this method, Py-GC-MS was used for the analysis; however, this article employs optimized analytical conditions. A schematic diagram of the analysis processisshown in Fig. 2. For more information on the analysis conditions and results from the evolved gas analysis (EGA-MS, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=42&amp;search=EGA%2FPY-3030D"><strong>EGA/PY-3030D Multi-Shot Pyrolyzer AS-1020E Auto-Shot Sampler</strong></a>, Frontier Laboratories Ltd.) method described in Fig. 2, please see Application News No. 01-00901. The analysis conditions for the thermal desorption (TD)-GC/MS (<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>) method used in this article are shown in Table 1. The thermal desorption temperature was chosen based on results obtained by the EGA-MS method.</p><h4><strong>Qualitative Analysis of Additive&nbsp;</strong></h4><p>The total ion current (TIC) chromatogram obtained from analyzing the tire rubber is shown in Fig. 4. A spectral library search was also performed using NIST-23 and Shimadzu’s Polymer Additives Library. The library search results for the peak that eluted at around 10.43 minutes are shown in Fig. 5. Based on the results from Shimadzu’s Polymer Additives Library, the peak was estimated to be the anti-degradant Nocrac 6C (a trade name for the chemical 6PPD).</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This article presents an analysis of the additive 6PPD in tire rubber utilizing Py-GC-MS. Good results were obtained for calibration curve linearity, calibration standard repeatability, limit of quantification, and limit of detection. Shimadzu’s Polymer Additives Library was used to identify the additive.</p><h3><strong>3. Thermo Fisher Scientific: Gas chromatography analyzers for the oil &amp; gas industry: upstream to downstream</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/br_003966_gc_analyzers_trace_1610_industrial_br003966_na_en_44ad1327c6.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Gas chromatography (GC) plays a central role in the oil and gas industry, providing high-accuracy, high-speed analysis of complex hydrocarbon mixtures from upstream exploration through midstream transport to downstream refining and distribution. Across this value chain, GC supports regulatory compliance, product quality control, custody transfer, and process optimization. As the industry adapts to decarbonization goals and stricter environmental regulations, robust and automated analytical solutions have become essential for monitoring hydrocarbons, impurities, and trace components under demanding 24/7 operational conditions.</p><p>Thermo Scientific™ GC analyzers are engineered to meet these challenges, with the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/486"><strong>TRACE™ 1610 GC</strong></a> platform forming the backbone of a comprehensive portfolio of preconfigured and customizable systems. Its modular “Instant Connect” design enables rapid configuration of injectors, detectors, and valves, reducing downtime and simplifying maintenance. The platform supports multi-detector configurations—including FID, TCD, FPD, PDD, MS, and VUV—allowing a single analyzer to address a broad range of applications, from natural gas composition and BTU determination to sulfur species, fixed gases, and detailed hydrocarbon analysis .</p><p>Dedicated GC analyzer configurations are available for specific industry needs, including natural gas and natural gas liquids (NGA/NGL), refinery gas analysis (RGA), light hydrocarbons (LPG), oxygenates, aromatics (BTEX), permanent gases, and high-purity gas streams. Advanced techniques such as GC-VUV further simplify complex analyses like PIONA group-type characterization of gasoline, delivering comprehensive compositional data in a single run while reducing calibration effort and cost per sample. These systems are designed to comply with major ASTM, ISO, GPA, DIN, EN, and UOP standards, ensuring global regulatory alignment .</p><p>Complementing the hardware, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/products/76"><strong>Thermo Scientific™ Chromeleon™ Chromatography Data System (CDS)</strong></a> provides an integrated informatics backbone for method control, data processing, reporting, and connectivity to LIMS platforms. This unified approach enhances data integrity, improves workflow efficiency, and enables real-time decision-making across refinery and gas processing operations. Together, Thermo Scientific GC analyzers and integrated software solutions deliver reliable, scalable, and future-ready analytics for the evolving oil and gas industry.</p>

News from LabRulezGCMS Library - Week 51, 2025

Article

Product

Events

Webinars

Application

Academy

Video

Poster

Scientists

Plastics

Environment

Food

Water

Health

Presentation

Scientific article

Interview

Toxicology

Popularization

Science and research

Software

Covid-19

Career

Laboratories

Various

Zaměření

Type of News

Focus

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

LabRulez

Pittcon 2026

36th MassSpec Forum Vienna 2026

US HUPO 2026

The science of next-gen ingredients: fermentation, formulation and function

The Data Driven Plant; How AI Transforms Chemical Manufacturing

Process Raman: A Reliable and Versatile Tool For Downstream Process Monitoring and Control For mAB Production