作者: Xicheng He , Tao Yi , Yina Tang , Jun Xu , Jianye Zhang
DOI: 10.1186/S13020-016-0104-Y
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摘要: The quality of the materials used in Chinese medicine (CM) is generally assessed based on an analysis their chemical components (e.g., chromatographic fingerprint analysis). However, there a growing interest use color metrics as indicator CM. aim this study was to investigate accuracy and feasibility using determine Smilacis Glabrae Rhizoma (Tufuling) (SGR). SGR samples were divided into two categories cross-sectional coloration, including red (R-SGR) white (W-SGR). Forty-three collected colors quantized RGB model Photoshop software. An ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/QTOF MS) system for evaluate different samples. Hierarchical cluster dimensional reduction data generated from Pearson correlation coefficient relationship between compositions R-SGR W-SGR. groups color, A (CLA) B (CLB), well being separate classes composition, (CHA) (CHB). Standard chromatograms CHA CHB. Statistical revealed significant (Pearson’s r = −0.769, P < 0.001) results analysis. major clusters, variations these reflected differences material. Furthermore, we observed statistically