Study on authentic identification of water and urea in buffalo milk based on chemo metrics methods
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摘要: 以水牛乳7个主要理化指标结合化学计量学为基础,建立了水牛乳中掺水和掺尿素定性和定量模型。聚类分析法较好地区分未掺假乳和掺假乳。Fisher判别分析中典则判别函数能够直观地区分不同掺假含量的样品,线性判别函数能够对未知掺伪乳样品进行定性判别,判别效果良好。多元逐步线性回归法构建的定量模型实测值和预测值的相关系数Rp分别为0.9956、0.9934、0.9937、0.9938、0.9986、0.9991,模型预测值接近于真实值,可实现水牛乳掺假的定量鉴别。Abstract: The qualitative identification and quantitative prediction model of buffalo milk adulterated with water and urea were established by seven main quality indicators of the buffalo milk combined with chemo metrics methods. The cluster analysis was well able to distinguish pure and adulterated buffalo milk samples. Canonical discriminant function coefficients could intuitively distinguish mixed samples adulterated with different contents of adulteration,and coefficients of Fisher's linear discriminant functions worked well for qualitative identification of unknown buffalo milk adulteration. Multiple linear step regression method built six quantitative models,which the correlation coefficients RPof real value and predicted value were 0.9956,0.9934,0.9937,0.9938,0.9986,0.9991,respectively,and could quantitative identification of authentic buffalo milk.
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期刊类型引用(4)
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