Principal Component Analysis Applied to Fourier Transform Infrared Spectroscopy for the Design of Calibration Sets for Glycerol Prediction Models in Wine and for the Detection and Classification of Outlier Samples.

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dc.contributor.authorNieuwoudt, Heleneen_ZA
dc.contributor.authorPrior, B. A.en_ZA
dc.contributor.authorPretorius, I. S.en_ZA
dc.contributor.authorManley, M.en_ZA
dc.contributor.authorBauer, Florianen_ZA
dc.date.accessioned2013-01-23T14:08:55Z
dc.date.available2013-01-23T14:08:55Z
dc.date.issued2004
dc.descriptionAgriwetenskappe
dc.descriptionInstituut Vir Wynbiotegnologie
dc.descriptionPlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: scholar@sun.ac.za
dc.identifier.citationJournal of Agricultural and Food Chemistry
dc.identifier.urihttp://hdl.handle.net/10019.1/78297
dc.publisherAMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, USA, DC, 20036
dc.titlePrincipal Component Analysis Applied to Fourier Transform Infrared Spectroscopy for the Design of Calibration Sets for Glycerol Prediction Models in Wine and for the Detection and Classification of Outlier Samples.
dc.typeJournal Articles (subsidised)
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