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Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice

Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice

作     者:Li-juan XIE Yi-bin YING 

作者机构:College of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310029 China 

出 版 物:《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 (浙江大学学报(英文版)B辑(生物医学与生物技术))

年 卷 期:2009年第10卷第6期

页      面:465-471页

核心收录:

学科分类:081704[工学-应用化学] 07[理学] 08[工学] 070302[理学-分析化学] 0710[理学-生物学] 1007[医学-药学(可授医学、理学学位)] 0810[工学-信息与通信工程] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1001[医学-基础医学(可授医学、理学学位)] 0905[农学-畜牧学] 0817[工学-化学工程与技术] 0906[农学-兽医学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0835[工学-软件工程] 0703[理学-化学] 081002[工学-信号与信息处理] 

基  金:Project supported by the National Natural Science Foundation of China (No. 30825027) the National Key Technology R&D Pro-gram (No. 2006BAD11A12) of China 

主  题:Near-infrared (NIR) spectroscopy Least squares-support vector machine (LS-SVM) Quality change Tomato juice 

摘      要:Near-infrared (NIR) transmittance spectroscopy combined with least-squares support vector machine (LS-SVM) was investigated to study the quality change of tomato juice during the storage. A total of 100 tomato juice samples were used. The spectrum of each tomato juice was collected twice: the first measurement was taken when the tomato juice was fresh and had not undergone any changes, and the second measurement was taken after a month. Principal component analysis (PCA) was used to examine a potential capability of separating juice before and after the storage. The soluble solid content (SSC) and pH of the juice samples were determined. The results show that changes in certain compounds between tomato juice before and after the storage period were obvious. An excellent precision was achieved by LS-SVM model compared with discriminant partial least-squares (DPLS), soft independent modeling of class analogy (SIMCA), and discriminant analysis (DA) models, with 100% of a total accuracy. It can be found that NIR spectroscopy coupled with LS-SVM, DPLS, SIMCA, and DA can be used to control the quality change of tomato juice during the storage.

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