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- W3025693525 abstract "Due to its versatility, anhydrous milk fat (AMF) has become more popular as a food industry ingredient, but its quality control remains a critical challenge. A direct injection mass spectrometry technique was applied to predict sensory quality of AMF. Volatilome analysis through proton transfer reaction mass spectrometry (PTR-MS) was used to classify 39 industrial samples of AMF according to industrial sensory evaluation and to accelerated ageing. A selective reagent ion system was used to evaluate the suitability of PTR-MS alternative ionisation modes for quality control. Supervised multivariate data analysis successfully classified samples and showed that samples exposed to accelerated shelf life at 50 °C presented higher intensities of most volatiles, especially for the ones derived from oxidation like aldehydes and ketones, while samples with an acceptable quality level had lower emissions of volatiles. PTR-MS technique is ideal to support agroindustry sensory quality programs requiring rapid on-line analytical information." @default.
- W3025693525 created "2020-05-21" @default.
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- W3025693525 date "2020-10-01" @default.
- W3025693525 modified "2023-09-27" @default.
- W3025693525 title "The good, the bad and the aged: Predicting sensory quality of anhydrous milk fat by PTR/SRI-Tof-MS analysis and data mining" @default.
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- W3025693525 doi "https://doi.org/10.1016/j.idairyj.2020.104729" @default.
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