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利用非线性化学指纹技术鉴定羊奶中的牛奶成分。

Identification of cow milk in goat milk by nonlinear chemical fingerprint technique.

机构信息

College of Food and Drug, Luoyang Normal University, Luoyang 471934, China.

College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.

出版信息

J Food Drug Anal. 2017 Oct;25(4):751-758. doi: 10.1016/j.jfda.2017.05.008. Epub 2017 Jun 15.

Abstract

The objective of this paper was to develop a nonlinear chemical fingerprint technique for identifying and detecting adulteration of goat milk with cow milk. In this study, by taking the Belousov-Zhabotinsky oscillatory chemical reaction using acetone and substrates in goat milk or cow milk as main dissipative substances, when the same dosage of goat milk and cow milk was introduced to the "H + Mn + BrO + acetone" oscillating system respectively, nonlinear chemical fingerprints were obtained for goat milk and cow milk from the same origin. The results showed that inductive time value and the content of cow milk in goat milk had a linear relationship in the range of 0-100% and the corresponding regression coefficient was 0.9991. A detection limit of 0.0107 g/g was obtained, and the content of cow milk in mixed milk was calculated. The proposed method in this study was simple, economical and effective. In addition, the method did not need the pretreatment and separation of samples for identifying and evaluating cow milk adulteration in goat milk.

摘要

本文旨在开发一种用于识别和检测羊奶掺牛奶的非线性化学指纹技术。本研究以以丙酮和羊奶或牛奶中的底物为主要耗散物质的别洛乌索夫-扎博廷斯基振荡化学反应为基础,当相同剂量的羊奶和牛奶分别引入到“H+Mn+BrO+丙酮”振荡体系中时,得到了来自同一来源的羊奶和牛奶的非线性化学指纹图谱。结果表明,在 0-100%的范围内,诱导时间值与羊奶中牛奶的含量呈线性关系,相应的回归系数为 0.9991。检测限为 0.0107 g/g,计算出混合乳中牛奶的含量。本研究提出的方法简单、经济、有效。此外,该方法不需要对样品进行预处理和分离,即可用于识别和评估羊奶中牛奶的掺假。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/879a/9328890/0257e83453c9/jfda-25-04-751f1.jpg

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