頁籤選單縮合
題名 | Integration of SIMCA and Near-Infrared Spectroscopy for Rapid and Precise Identification of Herbal Medicines |
---|---|
作者 | Yang, I-chang; Tsai, Chao-yin; Hsieh, Kuang-wen; Yang, Ci-wen; Ouyang, Fu; Lo, Yangming Martin; Chen, Suming; | 書刊名 | Journal of Food and Drug Analysis |
卷期 | 21:3 2013.09[民102.09] |
頁次 | 頁268-278 |
分類號 | 414.34 |
關鍵詞 | Classification; Herbal medicine; Near infrared; SIMCA; Spectroscopy; |
語文 | 英文(English) |
英文摘要 | The recognition, control, and monitoring of herbal medicinal materials is a crucial work and challenge in the pharmaceutical industry. Consequently, the development of a rapid and accurate inspection method and model is an important goal and job. The raw materials of a variety of herbal medicines were measured using nondestructive near-infrared spectroscopy with soft independent modeling of class analogy to build up the classification model. The adulterated samples could be eliminated by the analysis of the model, and identification rates were demonstrated in the range of 98-100%. The method could be applied not only to the pharmaceutical industry but also to the food industry. Food materials can be measured with the inspection model for effective identification and determination of adulteration. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。