文章基本信息

标题：APPLICATION OF DISCRIMINANT ANALYSIS MILK IN THE CHARACTERIZATION OF PHYSICOCHEMICAL DATA OF BUFFALO
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作者：Asif Mahmood ; Sumaira Naeem
期刊名称：Annals : Food Science and Technology
电子版ISSN：2065-2828
出版年度：2011
卷号：12
期号：1
出版社：Valahia University Press
摘要：Milk is a very important food. Physical and chemical quality of milk is affected by addition of water and ice. Milk quality monitoring program that provides a representative and reliable estimation of the quality of milk has become an important necessity. A comprehensive monitoring program provides large meaningless data. In this research work discriminant analysis (DA) was used to analyze the physicochemical data of milk of buffalo’s dairy farms of Gujranwala, Pakistan. Parameters were divided into three groups, physical (pH, Electrical conductivity, specific gravity, titratable acidity, total solid), chemical (Ash, Fat, Protein, Lactose) and minerals (Na, Ca, Mg, K, Fe). Discriminant analysis indicates that only 57.1% of parameters were correctly classified. This is due the overlapping nature of parameters. Discriminant analysis (DA) identified ten significant parameters (Ca, Na, Mg, Fe, titratable acidity (TTA), Fat, specific gravity (SG), Ash and K which discriminate (distinguish) the milk quality of seven dairy farms. Discriminant analysis classified seven dairy farms 100.0% correctly. The result of classification shows that there are significant differences between the quality of milk of seven dairy farms, which are expressed by six discriminate functions. This study illustrates the benefit of discriminant analysis for interpreting complex data sets in the analysis of spatial variations in milk quality, and to plan for future studies.dy
关键词：discriminant analysis; milk; physicochemical analysis; buffalo; Gujranwala