详细信息

钾素营养对药用植物品质形成影响的研究进展     被引量:10

Current Progress of Potassium Nutrition on Quality in Chinese Herbs

文献类型:期刊文献

中文题名:钾素营养对药用植物品质形成影响的研究进展

英文题名:Current Progress of Potassium Nutrition on Quality in Chinese Herbs

作者:杨雪[1];王引权[1]

第一作者:杨雪

机构:[1]甘肃中医药大学药学院,兰州730000

第一机构:甘肃中医药大学药学院(西北中藏药协同创新中心办公室)

年份:2017

卷号:41

期号:8

起止页码:711

中文期刊名:浙江中医药大学学报

外文期刊名:Journal of Zhejiang Chinese Medical University

收录:CSTPCD

基金:国家自然科学基金项目(81060327;81660625;81260616);甘肃省高校协同创新科技团队支持计划(2016C-05FF09)~~

语种:中文

中文关键词:钾素;药用植物;产量;有效成分;生理代谢

外文关键词:potassium; Chinese herbs; yield; effective medicinal substances; physiological metabolism

摘要:[目的]为明确钾素对药用植物品质形成的效应提供参考。[方法]以"钾素"、"中药"、"生长发育"、"生理生化"、"有效成分"等为关键词,组合查询2012年6月至2017年3月在PubMed、中国知网、万方、维普等数据库中的相关文献,系统综述了钾素对药用植物生长发育、产量、生理生态、抗逆性获得及有效成分等影响。[结果]共检索到相关文献71篇,其中有效文献50篇。目前,相关研究主要集中在钾素与药材产量、有效成分含量及生理代谢等关系方面。[结论]该领域的研究已取得一定进展,但仍存在问题,未来应着重进行钾素与药效有关的化学成分及其在体内的代谢,建立多因素、多变量的非线性综合模型的相关研究。
[Objective] To provide a reference for the effects of potassium on quality formation of medicinal material. [Methods] With"potassium","traditional Chinese medicine", "growth and development", "physiological characteristics"and "effective medicinal substances"as the key words, from June 2012 to March 2017 in the PubMed, CNKI, WANFANG, VIP, the effects of potassium on the growth and development, production and quality formations, plant physiology, resistance acquirement, medicinal substances in medicinal material were systematically summarized. [Results] A total of 71 articles were retrieved, of which there were 50 valid literatures. At present, the related researches mainly focus on the relationship between potassium and growth and development, yield and quality formation, effective medicinal substances metabolism of Chinese herbs. [Conclusion] Some progresses have been made in this field. But this paper pointed out the problems in this field and put forward the directions about further research of effective medicinal substances metabolism and its mechanism, establishing multiple factor, multilevel nolinear synthesis model.

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