In this study, proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS) equipped with a multipurpose head-space automated sampler (autosampler) was successfully applied for investigation of VOC profiles of food samples (beef, fish, and cauliflower) first raw and then cooked in automated way inside the autosampler. This methodology is of relevance both for process optimization in the agroindustry and for the better selection of raw materials
Khomenko, I. (2023). High-throughput automatic cooking, analysis, and data mining of food matrices by PTR-ToF-MS. In: DIFFA 2023: 1st International Symposium on Direct Injection Food Flavour Analytics, San Michele all’Adige (TN), Italy, 20-22 September 2023. San Michele all'Adige (TN): Fondazione Edmund Mach: 169-170. ISBN: 9788878430600. handle: https://hdl.handle.net/10449/83478
High-throughput automatic cooking, analysis, and data mining of food matrices by PTR-ToF-MS
Khomenko, I.
2023-01-01
Abstract
In this study, proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS) equipped with a multipurpose head-space automated sampler (autosampler) was successfully applied for investigation of VOC profiles of food samples (beef, fish, and cauliflower) first raw and then cooked in automated way inside the autosampler. This methodology is of relevance both for process optimization in the agroindustry and for the better selection of raw materials
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