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基于近红外光谱技术对山茱萸炮制程度的质量评价
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  • 英文篇名:Quality Evaluation in Processing Degree of Corni Fructus Based on Near Infrared Spectroscopy
  • 作者:范晓良 ; 张纯 ; 阮伟峰
  • 英文作者:FAN Xiaoliang;ZHANG Chun;RUAN Weifeng;Jiaxing Hospital of TCM Affiliated Zhejiang Chinese Medical University;Jiaxing Institute for Food and Drug Control;
  • 关键词:近红外光谱法 ; 山茱萸 ; 5-羟甲基糠醛 ; 炮制程度 ; 质量评价
  • 英文关键词:near infrared spectrometry(NIRS);;Corni Fructus;;5-hydroxymethylfnrfural(5-HMF);;processing degree;;quality evaluation
  • 中文刊名:XDYD
  • 英文刊名:Chinese Journal of Modern Applied Pharmacy
  • 机构:浙江中医药大学附属嘉兴中医院;嘉兴市食品药品检验检测院;
  • 出版日期:2019-06-11 15:37
  • 出版单位:中国现代应用药学
  • 年:2019
  • 期:v.36
  • 基金:嘉兴市科技计划自主研发项目(2018AD32152)
  • 语种:中文;
  • 页:XDYD201911008
  • 页数:6
  • CN:11
  • ISSN:33-1210/R
  • 分类号:40-45
摘要
目的采用近红外光谱技术建立山茱萸饮片中5-羟甲基糠醛含量的快速无损检测方法,并用于快速判别山茱萸饮片的炮制程度。方法以54个样本作为校正集,运用偏最小二乘法建立定量校正模型并进行优化。以9个样本作为验证集,进行含量预测。结果校正模型决定系数为0.925 6,相对分析误差为5.06,交叉验证均方根误差为0.022 0,外部验证均方差为0.019 3,光谱预测值与真值之间的相关性较好。结论该法可直接用于中药山茱萸中5-羟甲基糠醛含量的快速预测,为快速判断山茱萸炮制程度提供可能。该方法具有操作简便、快速无损、准确可靠等优点。
        OBJECTIVE To establish a fast and nondestructive detection method on the content of 5-hydroxymethylfurfural(5-HMF) in Corni Fructus by near infrared spectrometry, and used to identify the processing degree rapidly. METHODS The quantitative model was built based on partial least square method with 54 samples, and then the models were optimized. Nine samples were used for content prediction. RESULTS The determination coefficient of the calibration models was 0.925 6, ratio of prediction to deviation was 5.06, root mean square error of cross validation was 0.022 0, and root mean square error of prediction was 0.019 3, these results indicated the correlation between the predicted values and the true values was good.CONCLUSION This method can be applied in rapid quantitative analysis of 5-HMF in the samples of Corni Fructus and identification of their processing degree. The method has the advantages of simple, rapid, nondestructive, accurate and safety.
引文
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