A direct headspace injection method is presented and optimized for the analysis of volatile organic compounds (VOCs) using dielectric barrier discharge ionization-mass spectrometry (DBDI-MS), incorporating an intermediate vial in which the sample headspace is injected. The setup is built of commonly available, cheap consumable parts and easily enables the incorporation of different gases for generating different ionization atmospheres. The method can be fully automated by using standard GC autosamplers, and its rapid analysis time is suitable for high-throughput applications. We show that this method is suitable for both profiling analysis of complex samples such as biofluids and quantitative measurements for real-time reaction monitoring. Our optimized method demonstrated improved reproducibility and sensitivity, with detection limits for compounds tested in the high nanomolar to the low micromolar range, depending on the compound. Key parameters for method optimization were identified such as sample vial volume, headspace-to-liquid ratio, incubation temperature, and equilibration time. These settings were systematically evaluated to maximize the signal intensity and improve repeatability between measurements. Two use cases are demonstrated: (i) quantitative measurement of ethanol production by a metal-organic framework from CO and (ii) profiling of biofluids following the consumption of asparagus.
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http://dx.doi.org/10.1021/jasms.4c00475 | DOI Listing |
J Am Soc Mass Spectrom
March 2025
Department of Biosciences, TUM School of Natural Sciences, Technical University of Munich (TUM), 85748 Garching, Germany.
A direct headspace injection method is presented and optimized for the analysis of volatile organic compounds (VOCs) using dielectric barrier discharge ionization-mass spectrometry (DBDI-MS), incorporating an intermediate vial in which the sample headspace is injected. The setup is built of commonly available, cheap consumable parts and easily enables the incorporation of different gases for generating different ionization atmospheres. The method can be fully automated by using standard GC autosamplers, and its rapid analysis time is suitable for high-throughput applications.
View Article and Find Full Text PDFAnal Methods
March 2025
Fujian Key Laboratory of Agro-Products Quality and Safety, Fuzhou, 350003, China.
Depending on the manufacturing process, Tieguanyin tea (TGY) is classified into three main groups, light flavor type (LFT), heavy flavor type (HFT), and stale flavor type (SFT). However, the compositions and contents of volatile compounds among TGY types were still unclear. This study aimed to develop an efficient method for the nonselective determination of volatile compounds in teas direct-headspace injection coupled with gas chromatography mass spectrometry (DHI-GC-MS), and to perform a comprehensive comparison among these teas.
View Article and Find Full Text PDFJ Chromatogr Sci
January 2025
Global Pharmaceutical Technical Support, Boehringer Ingelheim Animal Health USA Inc., 631 US Highway 1, North Brunswick, NJ 08902, USA.
In this paper, a new headspace gas chromatography (HSGC) method has been developed for the determination of ethylene oxide (EO) and 1,4-Dioxane (Dioxane) in bulk lots of polyethylene glycols (PEG). PEG samples are dissolved in dimethyl sulfoxide, heated in a headspace oven maintained at 90°C for 10 min and then injected into the GC system for analysis. Analytes are separated through a thermal gradient elution from 36 to 240°C on an Agilent DB-624 column (60 m × 0.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Forest Research, Alice Holt Lodge, Farnham, UK.
Background: Ips typographus (L.), the eight-toothed spruce bark beetle (Coleoptera: Scolytinae), has devastated European Norway spruce (Picea abies) forests in recent years. For the first time, I.
View Article and Find Full Text PDFAnal Sci Adv
June 2025
Department of Chemical, Pharmaceutical, and Agricultural Sciences University of Ferrara Ferrara Italy.
Cannabis inflorescences represent an important source of many high-value bioactive specialized metabolites, among which the family of terpenes or terpenoids that are the largest classes of natural products known. Besides their biological activities either alone or synergistic with other terpenoids and/or cannabinoids, they are responsible for their distinctive flavour. In this study, we exploited the separation power and identification capabilities of comprehensive two-dimensional gas chromatography coupled to mass spectrometry (GC×GC-MS) for the profiling of terpenes and terpenoids in cannabis inflorescences.
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