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Authentication of Pure Camellia Oil by Using Near Infrared Spectroscopy and Pattern Recognition Techniques

Authors

  • Shuifang Li,

    1. MS 20110777 Submitted 6/28/2011, Accepted 11/26/2011. Author S. Li is with College of Science, Central South Univ. of Forestry and Technology, Changsha, 410004, China. Authors Zhu, Zhang, G. Li, Su, and Shan are with Hunan Food Test and Analysis Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. Direct inquiries to author Shan (E-mail: shanyang_jgs@163.com).
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  • Xiangrong Zhu,

    1. MS 20110777 Submitted 6/28/2011, Accepted 11/26/2011. Author S. Li is with College of Science, Central South Univ. of Forestry and Technology, Changsha, 410004, China. Authors Zhu, Zhang, G. Li, Su, and Shan are with Hunan Food Test and Analysis Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. Direct inquiries to author Shan (E-mail: shanyang_jgs@163.com).
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  • Juhua Zhang,

    1. MS 20110777 Submitted 6/28/2011, Accepted 11/26/2011. Author S. Li is with College of Science, Central South Univ. of Forestry and Technology, Changsha, 410004, China. Authors Zhu, Zhang, G. Li, Su, and Shan are with Hunan Food Test and Analysis Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. Direct inquiries to author Shan (E-mail: shanyang_jgs@163.com).
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  • Gaoyang Li,

    1. MS 20110777 Submitted 6/28/2011, Accepted 11/26/2011. Author S. Li is with College of Science, Central South Univ. of Forestry and Technology, Changsha, 410004, China. Authors Zhu, Zhang, G. Li, Su, and Shan are with Hunan Food Test and Analysis Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. Direct inquiries to author Shan (E-mail: shanyang_jgs@163.com).
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  • Donglin Su,

    1. MS 20110777 Submitted 6/28/2011, Accepted 11/26/2011. Author S. Li is with College of Science, Central South Univ. of Forestry and Technology, Changsha, 410004, China. Authors Zhu, Zhang, G. Li, Su, and Shan are with Hunan Food Test and Analysis Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. Direct inquiries to author Shan (E-mail: shanyang_jgs@163.com).
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  • Yang Shan

    1. MS 20110777 Submitted 6/28/2011, Accepted 11/26/2011. Author S. Li is with College of Science, Central South Univ. of Forestry and Technology, Changsha, 410004, China. Authors Zhu, Zhang, G. Li, Su, and Shan are with Hunan Food Test and Analysis Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. Direct inquiries to author Shan (E-mail: shanyang_jgs@163.com).
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Abstract

Abstract:  Total of 4 pattern recognition methods for the authentication of pure camellia oil applying near infrared (NIR) spectroscopy were evaluated in this study. Total of 115 samples were collected and their authenticities were confirmed by gas chromatography (GC) in according to China Natl. Standard (GB). A preliminary study of NIR spectral data was analyzed by unsupervised methods including principal component analysis (PCA) and hierarchical cluster analysis (HCA). Total of 2 supervised classification techniques based on discriminant analysis (DA) and radical basis function neural network (RBFNN) were utilized to build calibration model and predict unknown samples. In the wavenumber range of 6000 to 5750 cm−1, correct classification rate of both supervised and unsupervised solutions all can reach 98.3% when smoothing, first derivative, and autoscaling were used. The good performance showed that NIR spectroscopy with multivariate calibration models could be successfully used as a rapid, simple, and nondestructive method to discriminate pure camellia oil.

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