不同胎次奶牛乳中乳蛋白含量的近红外光谱定量分析

李双红; 刘永峰; 韩裕睿; 赵露华; 袁爽

doi:10.13386/j.issn1002-0306.2014.04.024

不同胎次奶牛乳中乳蛋白含量的近红外光谱定量分析

陕西师范大学食品工程与营养科学学院

基金项目:

西安市科技计划项目(NC1208-2)；陕西省科技攻关项目(2012NY2-17)；国家大学生创新性实验计划课题(201210781126)；

详细信息

作者简介:
李双红 (1992-) , 女, 大学本科, 主要从事食品科学与安全方面的研究。;

中图分类号: TS252.7;O657.33
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出版历程
- 收稿日期: 2013-07-29

Quantitative analysis of milk protein content in different parities cows based on near infrared spectroscopy

College of Food Engineering and Nutritional Science, Shaanxi Normal University

摘要

摘要: 对不同胎次奶牛的牛奶样品进行近红外光谱扫描,并用多功能乳制品分析仪对牛奶样品中蛋白质的含量进行测定。利用正交实验设计,分别采用主成分回归法(PCR)、偏最小二乘法(PLS)、改进偏最小二乘法(MPLS)三种定量校正方法和多种光谱预处理方法建立模型,利用目标函数法对模型进行评定,结果表明:一胎、二胎奶牛乳样中乳蛋白的最优模型相同,其校正相关系数(R2)、定标标准差(SEC)和预测标准差(SEP)分别为:0.9626、0.0531、0.0630和0.9377、0.0810、0.1100;建立了三胎及以上奶牛乳样中乳蛋白的最优模型,R2、SEC和SEP分别为:0.9406、0.0461和0.0500;同时,建立了所有乳样中乳蛋白的最优模型,R2、SEC和SEP分别为:0.9351、0.0687和0.0790。所建模型对于快速、准确、无损、定量检测原料奶中乳蛋白的含量是可行的,该方法为快速检测混合原料奶中乳蛋白含量提供了理论依据。
- 乳蛋白 /
- 近红外光谱 /
- 定量分析 /
- 胎次
Abstract: In this experiment, spectrum of different parities milk samples were scanned using near-infrared spectrometer (NIRS) , and the protein content in milk samples was measured using the multifunctional analyzer of dairy. The models were established through orthogonal design and validated with principle component regression (PCR) , partial least square (PLS) , modified PLS and a variety of pretreatment methods. Then, the models were evaluated by the objective function method. The result showed that the first parity samples share the same optimal model with the second parity samples in the milk protein And their calibration coefficient of correlations (R2) , standard error of calibration (SEC) and standard error of prediction (SEP) were 0.9626, 0.0531, 0.0630 and 0.9377, 0.0810, 0.1100, respectively. The optimal model of the milk protein of the third parity samples and more times samples were established, and the R2, SEC and SEP of the optimal model were 0.9406, 0.0461, 0.0500. Meanwhile, the optimal model of all milk protein samples were also established, and the R2, SEC and SEP of the optimal model were 0.9351, 0.0687, 0.0790. Therefore, it was suitable for using these models to detect simulately the milk protein rapidly, accurately and non-destructively. The analysis method provided the theoretical basis for detecting the milk protein quickly in mixed raw milk.
- milk protein /
- near infrared spectroscopy /
- quantitative analysis /
- parity

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