数据分析技术在中药抗氧化谱效关系研究中的应用进展

Application Progress of Data Analysis Techniques in the Research of Antioxidant Spectrum-effect Relationship for Traditional Chinese Medicine

关键词:  数据分析技术  谱效关系  抗氧化  应用进展

Key words:  data analysis techniques  spectrum-effect relationship  antioxidant  application progress

摘要:

目的 介绍近年来数据分析技术在中药抗氧化谱效关系研究中的进展情况，为抗氧化中药的药效物质基础及质量评价研究提供思路和借鉴。方法 综述了近年来应用于中药抗氧化谱效关系研究的数据分析技术，包括相关分析（双变量相关、多元相关、典型相关）、灰关联度分析、回归分析（多元线性回归、偏最小二乘回归）、主成分分析、人工神经网络等，并对其进行了分析比较。结果 数据分析技术应用于中药抗氧化谱效关系的研究已取得一定成效，但由于各种数据分析技术各有优缺点，采用哪种方法更合适，或者采用哪些方法组合更有效，有待进一步研究和探讨。结论 将数据分析技术科学、合理地应用于中药抗氧化谱效关系的研究有相当广阔的发展前景，将有力推动抗氧化中药现代化研究的进程。

Abstract:

OBJECTIVE To introduce the progress of data analysis technology in the study of the antioxidant spectrum-effect relationship of traditional Chinese medicine(TCM) in recent years, and to provide ideas and reference for the research on the effective basis and quality evaluation of antioxidant TCM. METHODS The data analysis techniques used in the study of antioxidant spectrum-effect relationship of TCM in recent years, including related analysis(bivariate correlation, multivariate correlation, canonical correlation), grey correlation analysis, regression analysis(multiple linear regression, partial least squares regression), principal component analysis, artificial neural network and so on were reviewed and compared. RESULTS The application of data analysis technology in the study of antioxidant spectrum-effect relationship of TCM had some achievements, but due to the advantages and disadvantages of various data analysis techniques, which was more appropriate and how to combine different methods to get more effective result, all need further study and discussion. CONCLUSION The research on the scientific and reasonable application of data analysis technology to the antioxidant spectrum-effect relationship of TCM has quite broad prospects for development, which will certainly promote the process of the research on the modernization of antioxidant TCM.