Abstract
Rice is the important foodstuff for human. And the classification of the geographic origin of rice is significant for protecting the interests of consumers and producers, to enhancing quality of rice and developing rice exportation. In this paper, nineteen Xiangshui rice samples and ten non-Xiangshui rice samples were analyzed by Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-AES), to obtain content value of P, B, Zn, Fe, Cu, Mn, Na, K, Mg and Ca in rice samples, and then classified using chemometrics methods of principal component analysis and discriminant analysis. The result of the former was not satisfactory, while the latter was optimal, the accuracy 100% and 93.1% for calibration and leave-one-out cross validation respectively. A new classification method and technique of rice was provided for producers, sellers and departments of quality and technical supervision in this paper.
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© 2011 Springer-Verlag Berlin Heidelberg
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Niu, X., Xia, L., Zhang, Xy. (2011). Classification of Rice According to the Geographic Origin Based on Inductively Coupled Plasma Atomic Emission Spectrometry and Chemometrics. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_71
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DOI: https://doi.org/10.1007/978-3-642-23777-5_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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