Citation:
Ren Yulin, Zhang Bin, Lu Jiahui, Bing Guide, Wang Kehui. Nondestructive Analysis of Milk[J]. Chinese Journal of Applied Chemistry,
;1996, 13(5): 109-111.
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The principal components analysis performed on the centered data was used to study the near-infrared transflectance reflectance spectra of milk. It eliminated the interference of water. The new variables identified the characteristic wavelengths of fat, protein and lactose very well. The spectral range 2030~2350 nm was studied by principal components analysis. The principal component regression was used to predict the concentrations of fat,protein and lactose of the samples with standard predicted errors 1.61,1.94,2.08 g/L respectively.
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