牛奶的非破坏性分析

摘要/Abstract

摘要： 在分析牛奶时,所遇到的最大问题是在1100～2500 nm区间水的强烈吸收,把脂肪、蛋白和乳糖的吸收掩盖起来.多变量统计分析可以有效地解决这个问题.本文采用主成分分析(PCA)和主成分回归(PCR)对牛奶的近红外透射反射光谱进行了研究,得到了满意的结果.

关键词: 近红外透射反射光谱, 牛奶, 非破坏性分析

Abstract: 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.

Key words: near-infrared transflectance reflectance spectrum, milk, nondestructive analysis

任玉林, 张滨, 逯家辉, 邴贵德, 王克会. 牛奶的非破坏性分析[J]. 应用化学, 1996, 0(5): 109-111.

Ren Yulin, Zhang Bin, Lu Jiahui, Bing Guide, Wang Kehui. Nondestructive Analysis of Milk[J]. Chinese Journal of Applied Chemistry, 1996, 0(5): 109-111.

[1]	刘平, 朱亚琦, 马洁, 薛颖, 吴国华. 氧化苏木精复合电极测定牛奶中残留青霉素[J]. 应用化学, 2006, 23(5): 519-523.
[2]	刘平, 李玉光, 初一鸣, 马洁, 薛颖, 吴国华, 刘梦友, 贾京津. 用自制酶电极测定牛奶中残留青霉素[J]. 应用化学, 2004, 21(8): 832-834.

牛奶的非破坏性分析

Nondestructive Analysis of Milk

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