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- W1856137225 abstract "Abstract Milk is susceptible to off-flavor development by a variety of mechanisms. Multivariate analysis of GC data can be used to determine the cause of off-flavor development in customer complaint milk samples. Control samples of normal, good-tasting milk were analyzed by dynamic headspace GC/MS and a GC/FID technique that measures free fatty acids. The samples were then subjected to common abuse conditions (exposure to light, copper, and sanitizer) at various levels and re-analyzed. The abused samples provided the basis for KNN and SIMCA classification modeling. Results show that multivariate analysis can accurately predict the type of sample abuse responsible for off-flavors." @default.
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- W1856137225 date "2007-03-26" @default.
- W1856137225 modified "2023-09-27" @default.
- W1856137225 title "Determination of the cause of off-flavors in milk by dynamic headspace GC/MS and multivariate data analysis" @default.
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- W1856137225 doi "https://doi.org/10.1039/9781847550859-00118" @default.
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