Tags

Type your tag names separated by a space and hit enter

Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice.
J Zhejiang Univ Sci B. 2009 Jun; 10(6):465-71.JZ

Abstract

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.

Links

PMC Free PDF
PMC Free Full Text
Publisher Full Text
Aggregator Full Text

Authors+Show Affiliations

Xie LJ
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
Ying YB
No affiliation info available

MeSH

AlgorithmsArtificial IntelligenceBeveragesFood AnalysisFood ContaminationFruitLeast-Squares AnalysisLycopersicon esculentumPattern Recognition, AutomatedSpectroscopy, Near-Infrared

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19489112

Citation

Xie, Li-juan, and Yi-bin Ying. "Use of Near-infrared Spectroscopy and Least-squares Support Vector Machine to Determine Quality Change of Tomato Juice." Journal of Zhejiang University. Science. B, vol. 10, no. 6, 2009, pp. 465-71.
Xie LJ, Ying YB. Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice. J Zhejiang Univ Sci B. 2009;10(6):465-71.
Xie, L. J., & Ying, Y. B. (2009). Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice. Journal of Zhejiang University. Science. B, 10(6), 465-71. https://doi.org/10.1631/jzus.B0820299
Xie LJ, Ying YB. Use of Near-infrared Spectroscopy and Least-squares Support Vector Machine to Determine Quality Change of Tomato Juice. J Zhejiang Univ Sci B. 2009;10(6):465-71. PubMed PMID: 19489112.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice. AU - Xie,Li-juan, AU - Ying,Yi-bin, PY - 2009/6/3/entrez PY - 2009/6/3/pubmed PY - 2009/8/21/medline SP - 465 EP - 71 JF - Journal of Zhejiang University. Science. B JO - J Zhejiang Univ Sci B VL - 10 IS - 6 N2 - 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. SN - 1862-1783 UR - https://www.unboundmedicine.com/medline/citation/19489112/Use_of_near_infrared_spectroscopy_and_least_squares_support_vector_machine_to_determine_quality_change_of_tomato_juice_ L2 - http://www.jzus.zju.edu.cn/article.php?doi=10.1631/jzus.B0820299 DB - PRIME DP - Unbound Medicine ER -