Discrimination of Four Cinnamomum Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models

Foods

Shu-Yi Liaw¹  Meng-Shiou Lee²  Shyang-Chwen Sheu³  Priya Rana⁴ 

[1] Department of Business Management, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan;Department of Chinese Pharmaceutical Science and Chinese Medicine Resources, China Medical University, Taichung 40402, Taiwan;Department of Food Science, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan;Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan;

关键词: cinnamon;    chemometrics;    food fraud;    identification model;    physico-functional;   

DOI  :  10.3390/foods10112871

来源: DOAJ

【 摘 要 】

Discrimination of highly valued and non-hepatotoxic Cinnamomum species (C. verum) from hepatotoxic (C. burmannii, C. loureiroi, and C. cassia) is essential for preventing food adulteration and safety problems. In this study, we developed a new method for the discrimination of four Cinnamomum species using physico-functional properties and chemometric techniques. The data were analyzed through principal component analysis (PCA) and multiclass discriminant analysis (MDA). The results showed that the cumulative variability of the first three principal components was 81.70%. The PCA score plot indicated a clear separation of the different Cinnamomum species. The training set was used to build the discriminant MDA model. The testing set was verified by this model. The prediction rate of 100% proved that the model was valid and reliable. Therefore, physico-functional properties coupled with chemometric techniques constitute a practical approach for discrimination of Cinnamomum species to prevent food fraud.

【 授权许可】

Unknown