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Article Title

Quality control of Colla corii asini using near-infrared spectroscopy and chemometrics clustering techniques

Abstract

Colla corii asini (Ejiao) was distinguished from its fakes by using a portable device of near-infrared spectroscopy (NIRS). The spectroscopic information was then characteristically extracted for clustering analysis. Chemometrics tools were applied to interpret the NIRS datasets and to further identify the potential information for the quality control of Ejiao. In this study, forty-three Ejiao samples were collected from 20 manufacturers in China. Three chemometrics methods including hierarchical cluster analysis (HCA), principle component analysis (PCA) and mahalanobis distance (MD) were utilized to simultaneously confirm the analytical results, and all showed efficacy for the quality control of Ejiao by NIRS. In conclusion, the combination of NIRS and chemometrics is effective for the authentication of Ejiao of various quality.

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