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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 CO2 and (ii) profiling of biofluids following the consumption of asparagus.

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 CO2 and (ii) profiling of biofluids following the consumption of asparagus.

Great to see this collaboration with #nicoleStrittmatter @tum.de 🇩🇪 #AlinaMeindl 🇦🇹 @tcddublin.bsky.social
🇮🇪 on 'Profiling of #VolatileOrganicCompounds' out in #JAmSocMassSpectrom @asms.org
pubs.acs.org/action/showC... 😀funded by @ias-tum.bsky.social
@researchireland.bsky.social

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The growing demand for energy and the excessive use of fossil fuels represents one of the main challenges for humanity. Storing solar energy in the form of chemical bonds to generate solar fuels or value-added chemicals without creating additional environmental burdens is a key requirement for a sustainable future. Here we use biomimetic artificial photosynthesis and present a dPCN-224(H) MOF-based photocatalytic system, which uses reactive oxygen species (ROS) to activate and convert CO2 to ethanol under atmospheric conditions, at room temperature and in 2-5 h reaction time. The system provides a CO2-to-ethanol conversion efficiency (CTE) of 92%. Furthermore, this method also allows the conversion of CO2 through direct air capture (DAC), making it a rapid and versatile method for both dissolved and gaseous CO2.

The growing demand for energy and the excessive use of fossil fuels represents one of the main challenges for humanity. Storing solar energy in the form of chemical bonds to generate solar fuels or value-added chemicals without creating additional environmental burdens is a key requirement for a sustainable future. Here we use biomimetic artificial photosynthesis and present a dPCN-224(H) MOF-based photocatalytic system, which uses reactive oxygen species (ROS) to activate and convert CO2 to ethanol under atmospheric conditions, at room temperature and in 2-5 h reaction time. The system provides a CO2-to-ethanol conversion efficiency (CTE) of 92%. Furthermore, this method also allows the conversion of CO2 through direct air capture (DAC), making it a rapid and versatile method for both dissolved and gaseous CO2.

Great work by #AlinaMeindl
now out in @angewandtechemie.bsky.social
🥳😀 onlinelibrary.wiley.com/doi/10.1002/... Direct CO2 activation and conversion to Ethanol via reactive oxygen species! Coop #TrinityCollegeDublin 🇮🇪 @ias-tum.bsky.social
🇩🇪 #UApplSciSalzburg🇦🇹💶@researchireland.bsky.social @tum.de

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