Application of visible and near infrared spectroscopy for rapid and non-invasive quantification of common adulterants in Spirulina powder

被引:51
|
作者
Wu, Di [1 ]
Nie, Pengcheng [1 ,2 ]
Cuello, Joel [3 ]
He, Yong [1 ]
Wang, Zhiping [4 ]
Wu, Hongxi [5 ,6 ]
机构
[1] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310029, Zhejiang, Peoples R China
[2] Nanchang Hangkong Univ, Coll Elect & Informat Engn, Nanchang 330069, Peoples R China
[3] Univ Arizona, Dept Agr & Biosyst Engn, Tucson, AZ 85721 USA
[4] Zhejiang Univ, Inst Nucl Agr Sci, Hangzhou 310029, Zhejiang, Peoples R China
[5] Zhejiang Mariculture Res Inst, Wenzhou 325000, Peoples R China
[6] Zhejiang Key Lab Exploitat & Preservat Coastal Bi, Wenzhou 325000, Peoples R China
关键词
Visible near infrared (Vis NIR) spectroscopy; Spirulina powder; Adulterants; Least square support vector machine (LS SVM); Partial least square (PLS); MILK POWDER; PROTEIN; FAT;
D O I
10.1016/j.jfoodeng.2010.09.002
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The authentication of food products is critically important in a global economy in public-health and economic terms The specific aims of this study were to evaluate the application of full spectrum and NIR spectroscopy and to evaluate the adoption of PLS and LS-SVM models to accomplish a rapid and non invasive quantification of the two common adulterants flour and mungbean powder in Spirulina powder The results showed that using all treatment sets only the LS-SVM models were adequate in predicting either adulterant under both full spectra and NIR spectra The use of NIR spectra would allow detection of adulterants even when masked by food dyes Design value analysis indicated that the benefits per unit cost of applying the NIR spectra to quantify adulterants in Spirulina powder significantly exceeded that of using full spectra and that the value of employing the LS SVM models under NIR spectra exceeded that of using the PLS models (C) 2010 Elsevier Ltd All rights reserved
引用
收藏
页码:278 / 286
页数:9
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