高等学校化学学报 ›› 2015, Vol. 36 ›› Issue (6): 1052.doi: 10.7503/cjcu20150049

• 分析化学 • 上一篇    下一篇

非线性化学群集成分分析法测定掺杂在羊奶中的牛奶和马奶含量

王二丹1, 鲁利利1, 张泰铭1(), 董文宾2, 卢红梅1, 梁逸曾1, 许天舒1, 张娟1, 陈春楠1   

  1. 1. 中南大学化学化工学院, 长沙 410083
    2. 陕西科技大学生命科学与工程学院, 西安 712081
  • 收稿日期:2015-01-16 出版日期:2015-06-10 发布日期:2015-05-22
  • 作者简介:联系人简介: 张泰铭, 男, 博士, 教授, 博士生导师, 主要从事非线性化学分析及其仪器研究. E-mail:taimingzhang@163.com
  • 基金资助:
    国家自然科学基金(批准号: 21175157)和国家科技部政策引导类计划基金(批准号: 2009GJD20033)资助

Non-linear Chemical Analysis of Throng Component and Simultaneous Determining Contents of Cow and Mare Milks Mixed with Goat Milk

WANG Erdan1, LU Lili1, ZHANG Taiming1,*(), DONG Wenbin2, LU Hongmei1, LIANG Yizeng1, XU Tianshu1, ZHANG Juan1, CHEN Chunnan1   

  1. 1. College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
    2. College of Life Science and Engineering, Shaanxi University of Science and Technology, Xi’an 712081, China
  • Received:2015-01-16 Online:2015-06-10 Published:2015-05-22
  • Contact: ZHANG Taiming E-mail:taimingzhang@163.com
  • Supported by:
    † Supported by the National Natural Science Foundation of China(No.21175157) and the Policy Guidance Program Fund of Ministry of Science and Technology, China(No.2009GJD20033)

摘要:

提出了一种测定奶品中群集成分的非线性化学方法, 并将其用于为测定掺杂在羊奶中的牛奶和马奶的含量. 首先, 在不同温度下测定不同掺杂比的混合奶标样与纯羊奶的非线性化学指纹图谱诱导时间之差, 利用该差值与混合奶中各原奶含量的多元线性关系, 通过最小二乘法建立测定混合奶中各原奶含量的系统模型; 然后, 用此模型及相同条件下测得的混合奶试样与纯羊奶指纹图谱的诱导时间之差, 计算出该试样中各原奶含量, 并据此来鉴别奶品种类及掺杂程度. 结果表明, 测定值与真实值之间相关系数为0.9991, RSD 为 0.77%~4.3%, 回收率为93.2%~105.5%, 掺杂牛奶和马奶含量的检出限分别为1.93%和2.81%; 该方法重现性好、 准确度高, 可同时测定多元混合奶中各原奶的含量, 也能准确鉴别出奶品种类; 其原理具有通用性, 可供其它复杂样品定量分析借鉴和应用.

关键词: 非线性化学分析, 群集成分, 多元混合奶, 真伪鉴别, 含量测定

Abstract:

A method was proposed to determine the contents of raw milks in mixed milks. At first, non-linear chemical fingerprints of standard samples of goat milk and mixed milks with different contents of raw milks were determined at different temperatures, and via the multiple linear relationship between the contents of raw milks and the fingerprint-inductive-time difference of the mixed milks relative to goat milk, an analysis system model to predict the contents was fitted through classical least squares(CLS). And then, using the inductive-time difference between the sample and goat milk, the raw milk contents were calculated by the model. Lastly, according to the raw contents, the authenticity and quality of the sample were identified and evaluated. The results show that the correlation coefficient between the measured values and true values is 0.9991, the RSDs are 0.77%—4.3%, the recoveries are 93.2%—105.5%, and the detection limits of cow and mare milks doped in goat milk are 1.93% and 2.81%, respectively. The method has good reproducibility and accuracy, and is a practical and exact one for determining the raw milk contents in mixed milks, identifying the authenticity of dairy, and evaluating the quality of mixed milk. The method can be used for reference in research on determining throng component in other samples.

Key words: Non-linear chemical analysis, Throng component, Multiple milk mixture, Authenticity identifi-cation, Determination of content

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