| 引用本文: | 郝鹏升,范嘉育,耿淑琴,张艳玲.数据分析技术在中药抗氧化谱效关系研究中的应用进展[J].中国现代应用药学,2019,36(7):877-884. |
| HAO Pengsheng,FAN Jiayu,GENG Shuqin,ZHANG Yanling.Application Progress of Data Analysis Techniques in the Research of Antioxidant Spectrum-effect Relationship for Traditional Chinese Medicine[J].Chin J Mod Appl Pharm(中国现代应用药学),2019,36(7):877-884. |
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| 数据分析技术在中药抗氧化谱效关系研究中的应用进展 |
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郝鹏升1,2, 范嘉育1,2, 耿淑琴1,2, 张艳玲1,2
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1.内蒙古大学化学化工学院, 呼和浩特 010021;2.内蒙古大学乳制品质量安全控制技术教育部工程研究中心, 呼和浩特 010021
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| 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。 |
| 关键词: 数据分析技术 谱效关系 抗氧化 应用进展 |
| DOI：10.13748/j.cnki.issn1007-7693.2019.07.022 |
| 分类号:R284 |
| 基金项目:国家自然科学基金项目（81760710）；内蒙古自治区自然科学基金项目（2016MS08121） |
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| Application Progress of Data Analysis Techniques in the Research of Antioxidant Spectrum-effect Relationship for Traditional Chinese Medicine |
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HAO Pengsheng1,2, FAN Jiayu1,2, GENG Shuqin1,2, ZHANG Yanling1,2
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1.Inner Mongolian University, College of Chemistry and Chemical Engineering, Ministy of Eduction, Honhot 010021, China;2.Inner Mongolian University, Engineering Research Center of Dairy Products Quality and Safty Control Technology, Ministy of Eduction, Honhot 010021, China
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| 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. |
| Key words: data analysis techniques spectrum-effect relationship antioxidant application progress |
