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作 者:宋九华[1] 王应红[1] 尹红梅 代伟 SONG Jiu-hua;WANG Ying-hong;YIN Hong-mei;DAI Wei(Department of Chemistry and Resources Environment,Leshan Normal University Leshan 614004,China)
机构地区:[1]乐山师范学院化学与资源环境学院,四川乐山614004
出 处:《化学研究与应用》2021年第12期2307-2315,共9页Chemical Research and Application
基 金:乐山师范学院人材启动项目(Z1516)资助;乐山师范学院重点项目(LZD002)资助;乐山师范学院校级一流课程建设项目(KG2019-1-21)资助;乐山师范学院科技资助项目(DGZZ202008)资助。
摘 要:本文通过测定乐山市沐川产区姜黄药材中姜黄素、去甲氧基姜黄素和双去甲氧基姜黄素三种主要活性成分的含量,并建立12批姜黄样品的HPLC指纹图谱,从而对沐川产区不同生长环境下的野生与家种姜黄样品进行质量评价和判别分析。方法:采用HPLC法测定三种有效成分的含量和建立HPLC指纹图谱。采用"中药色谱指纹图谱相似度评价系统"进行相似度评价,并应用SPSS21和SIMCA-P+11软件进行聚类分析和主成分分析,对沐川产区姜黄药材进行整体质量评价。确定了14个共有峰,其中确定3个共有峰为姜黄药材的质量标志物,分别为4号峰(双去甲氧基姜黄素),5号峰(去甲氧基姜黄素),6号峰(姜黄素)。姜黄素的平均含量为21.53 mg·g^(-1),去甲氧基本姜黄素的平均含量为4.86 mg·g^(-1),双去甲氧基姜黄素的平均含量为7.25 mg·g^(-1)。12批药材的相似度均大于0.950,通过聚类分析,主成分分析,12批样品聚成3类,其中家种样品聚为一类,野生样品分为两类。利用化学模式识别与指纹图谱相结合的方法可快速评定同一产区不同生长环境下家种姜黄药材的稳定性和一致性,同时也为野生与家种姜黄样品的鉴别提供依据。为进一步研究土壤因子对姜黄质量的影响,为姜黄的规范化种植与栽培提供参考。In this paper, the content of the three main active components of curcumin、demethoxycurcumin and double demethoxycurcumin of Curcuma longa in Muchuan producing was determined, and HPLC fingerprint of 12 batches of Curcuma longa samples was established.Thus the quality of Curcuma longa samples under different growing conditions in Muchuan were analyzed and evaluated.HPLC method was used to determine the content of three active components and establish HPLC fingerprint.The similarity was evaluated by using the"Evaluation system of similarity of Traditional Chinese medicine chromatographic fingerprint",and the cluster analysis and principal component analysis were performed by using SPSS21 and SIMCA-P+11 software to evaluate the overall quality of Curcuma in Muchuan.14 common peaks were determined, three common peaks were identified as quality markers of Curcuma, the peak is No.4(dimethoxycurcumin),No.5(demethoxycurcumin)and No.6(curcumin).The average content of curcumin was 21.53 mg·g^(-1),the average content of demethoxybasic curcumin was 4.86 mg·g^(-1),and the average content of dimethoxycurcumin was 7.25 mg·g^(-1).The similarity of 12 batches of medicinal materials was all greater than 0.950.Through cluster analysis and principal component analysis 12 batches of samples were clustered into 3 groups.The combination of chemical pattern recognition and fingerprinting can quickly assess the stability and consistency of cultivated Curcuma longa under different growth environments in the same production area, and also provide a basis for the identification of wild and cultivated Curcuma longa samples.In order to further study the influence of soil factors on the quality of Curcuma longa, it provides a reference for the standardized planting and cultivation of Curcuma longa.
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