可见/近红外光谱技术无损检测新鲜鸡蛋pH及蛋白质的研究

李海峰; 房萌萌

doi:10.13386/j.issn1002-0306.2017.20.050

可见/近红外光谱技术无损检测新鲜鸡蛋pH及蛋白质的研究

宁夏大学农学院

基金项目:

宁夏自然基金(ZR14019)；

详细信息

作者简介:
李海峰 (1973-) , 男, 硕士, 副教授, 主要从事农产品无损检测及加工方面研究, E-mail:lihaifeng0426@163.com。;

中图分类号: O657.3;TS253.7
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出版历程
- 收稿日期: 2017-04-06

Vis/NIR spectroscopy nondestructive examination of fresh eggs p H and protein detection

College of Agriculture, Ningxia University

摘要

摘要: 本文利用可见/近红外光谱技术检测新鲜鸡蛋p H和蛋白质。分别采集新鲜鸡蛋在400~1000 nm和900~1700 nm波长范围的漫反射光谱,使用多元散射矫正(MSC)、标准正态变量变换(SNV)等光谱预处理技术,选择最佳的预处理方法,使用偏最小二乘法(PLS)建立p H和蛋白质模型并对其进行评价。结果表明,基于900~1700 nm波长范围的光谱获得的p H模型较好,其校正集相关系数为0.948,预测集相关系数为0.855;基于400~1000 nm波长范围的光谱获得的蛋白质模型较好,其校正集相关系数为0.927,预测集相关系数为0.906。研究表明,可见/近红外光谱技术可以较好的预测新鲜鸡蛋的p H和蛋白质,为鸡蛋营养成分的快速无损检测提供新的思路和方法。
- pH /
- 蛋白质 /
- 可见/近红外光谱 /
- 数学模型
Abstract: In this paper, p H and protein of fresh eggs were detected by visible/near infrared spectroscopy technology.The diffuse reflectance spectra of fresh eggs in 400 ~ 1000 nm and 900 ~ 1700 nm were collected respectively. The optimal pretreatment method was selected by spectral preprocessing techniques such as multiple scattering correction ( MSC) and standard normal variable transform ( SNV) .Partial least squares ( PLS) was used to establish p H-protein and protein model then evaluated it.The results showed that the p H model based on the spectral range of 900 ~ 1700 nm was better, the correlation coefficient of the calibration set was 0.948, the correlation coefficient was 0.855.The protein model based on the spectral range of 400¹000 nm was better, the correlation coefficient of the calibration set was 0.927, and the correlation coefficient of the prediction set was0.906. The research showed that visible/near infrared spectroscopy could rightly predict the p H and protein of fresh eggs, and it could provide new ideas and methods for rapid nondestructive testing of nutrient components.
- pH /
- protein /
- visible/near-infrared spectroscopy /
- mathematical modeling

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参考文献(13)

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