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Front Cover: Assessment of quality consistency in traditional Chinese medicine using multi‐wavelength fusion profiling by integrated quantitative fingerprint method: Niuhuang Jiedu pill as an example
Author(s) -
Zhang Jing,
Sun Guoxiang
Publication year - 2019
Publication title -
journal of separation science
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201970021
Subject(s) - traditional chinese medicine , quality assessment , fingerprint (computing) , computer science , consistency (knowledge bases) , quality (philosophy) , profiling (computer programming) , front cover , artificial intelligence , pattern recognition (psychology) , data mining , traditional medicine , cover (algebra) , engineering , medicine , evaluation methods , philosophy , epistemology , reliability engineering , mechanical engineering , alternative medicine , pathology , operating system
DOI: 10.1002/jssc.201800988 This cover picture shows the idea of using digital information technology to assess the quality of traditional Chinese medicine (TCM). The binary digits 0, 1 in the underlying background and the character map of the Chinese character “TCM” express the idea of using computer technology to analyze TCM. The Taiji diagram at the center expresses the yin and yang theory of Chinese philosophy, that is, the complementary, connected, and dependent relationship of opposite things. Coincidentally, this is in line with the qualitative and quantitative evaluation of the quality of TCM. In the 14 mathematical formulas of the Taiji diagram, the above three constitute the system quantitative fingerprint method (SQFM), and the following 11 constitute the integrated quantitative fingerprint method (IQFM). The latter is the evolution of the former. Here, we report the assessment of quality consistency in TCM using IQFM.