本研究首次應用手持式近紅外光譜儀檢測阿膠及其偽製品。將所得光譜信息進行聚類分析，運用化學計量學方法分析NIRS數據，並從中弄成出可用於控制阿膠產品品質的潛在信息。43個阿膠樣品分別來自中國大陸的20個廠家。本研究同時應用系統聚類分析（HCA）、主成分分析（PCA）、馬氏距離（MD）三種化學計量學方法分析阿膠樣品，不懂驗證了分析結果，而且展現了NIRS用於管制阿膠品質的能力。NIRS與化學計量學技術相結合可有效鑑別不同品質的阿膠產品。

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.