%0 Journal Article %1 Vallejo-Cordoba1994 %A Vallejo-Cordoba, Belinda %A Nakai, Shuryo. %D 1994 %J J. Agric. Food Chem. %K GC chemometrics discriminant headspace multivariate %P 994-9 %T Keeping-Quality Assessment of Pasteurized Milk by Multivariate Analysis of Dynamic Headspace Gas Chromatographic Data. 2. Flavor Classification by Linear Discriminant Analysis. %V 42 %X The flavor quality of pasteurized milk was classified by applying linear discriminant anal. (LDA) to volatiles as detd. by dynamic headspace capillary gas chromatog. (DH-GC). LDA was able to classify milk into good, marginal, and poor quality or into fruity, rancid, and normal flavor groups at a >80% success rate. The zone of good or normal flavor groups could be visualized in 2-dimensional canonical plots; thus, any sample deviating from this zone could be considered a defective product. In addn., LDA of gas chromatog. data allowed the assocn. of milk volatiles that contributed most significantly to the discrimination among flavor quality groups. Spoilage-assocd. volatiles were identified by using DH-GC-MS. The anal. system established has potential for application in the dairy industry for early detection of spoilage or for tracing defects assocd. with consumer complaints. on SciFinder (R)

@article{Vallejo-Cordoba1994, abstract = {The flavor quality of pasteurized milk was classified by applying linear discriminant anal. (LDA) to volatiles as detd. by dynamic headspace capillary gas chromatog. (DH-GC). LDA was able to classify milk into good, marginal, and poor quality or into fruity, rancid, and normal flavor groups at a >80% success rate. The zone of good or normal flavor groups could be visualized in 2-dimensional canonical plots; thus, any sample deviating from this zone could be considered a defective product. In addn., LDA of gas chromatog. data allowed the assocn. of milk volatiles that contributed most significantly to the discrimination among flavor quality groups. Spoilage-assocd. volatiles were identified by using DH-GC-MS. The anal. system established has potential for application in the dairy industry for early detection of spoilage or for tracing defects assocd. with consumer complaints. [on SciFinder (R)]}, added-at = {2010-03-09T22:03:28.000+0100}, author = {Vallejo-Cordoba, Belinda and Nakai, Shuryo.}, biburl = {https://www.bibsonomy.org/bibtex/23a99a86756a7ba3d469cb808c30d4025/afcallender}, interhash = {233c7963e5af99aa1456b4a850b888c5}, intrahash = {3a99a86756a7ba3d469cb808c30d4025}, journal = {J. Agric. Food Chem.}, keywords = {GC chemometrics discriminant headspace multivariate}, pages = {994-9}, timestamp = {2010-03-09T22:22:33.000+0100}, title = {Keeping-Quality Assessment of Pasteurized Milk by Multivariate Analysis of Dynamic Headspace Gas Chromatographic Data. 2. Flavor Classification by Linear Discriminant Analysis.}, volume = 42, year = 1994 }