指纹(计算)
颜色测量
线性判别分析
色差
色谱法
人工智能
计算机科学
数学
化学
模式识别(心理学)
GSM演进的增强数据速率
作者
Chenghao Fei,Hui Cong Dai,Xiaoyan Wu,Li Lin,Tulin Lu,Weidong Li,Baochang Cai,Wu Yin,Fangzhou Yin
标识
DOI:10.1002/jssc.201700575
摘要
Abstract Crataegi Fructus and its processed products have been used as a traditional medicine for a long time, and numerous active components are responsible for their curative effects. However, a comprehensive and fast method for the quality control of its processed products is still lacking. In this study, two analytical methods based on color measurements and fingerprint analysis are established. In the color measurements, the color values of the peel and flesh of Crataegi Fructus were evaluated spectrophotometrically. Based on the results, a color reference range was established using percentiles, and the standard color difference value was established using the median color values. Then, the color values of Crataegi Fructus and its processed products were analyzed using Bayes linear discriminant analysis and mathematical functions were built in order to predict the degree of processing. Moreover, high‐performance liquid chromatography fingerprint analysis was performed on a Hibar C18 column, and a high‐performance liquid chromatography fingerprint pattern was obtained, from which nine peaks were identified. Chemometric methods were successfully applied to differentiate raw and processed Crataegi Fructus.
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