一种测定非线性化学指纹图谱新反应体系以及它在双反应体系中人参鉴别的应用(英文)
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  • 英文篇名:A new reaction system to determine nonlinear chemical fingerprint and its use in Panax ginseng identification method based on double reaction system
  • 作者:谭雪莹 ; 邓飞跃 ; 张泰铭 ; 黄坚 ; 陈春楠
  • 英文作者:TAN Xue-ying;DENG Fei-yue;ZHANG Tai-ming;HUANG Jian;CHEN Chun-nan;School of Chemistry and Chemical Engineering, Central South University;
  • 关键词:非线性化学指纹图谱 ; 双体系 ; 单体系 ; 真伪鉴别 ; 人参
  • 英文关键词:nonlinear chemical fingerprint;;double reaction system;;single reaction system;;authenticity identification;;Panax ginsengs
  • 中文刊名:ZNGY
  • 英文刊名:中南大学学报(英文版)
  • 机构:School of Chemistry and Chemical Engineering, Central South University;
  • 出版日期:2018-08-15
  • 出版单位:Journal of Central South University
  • 年:2018
  • 期:v.25
  • 基金:Project(61533021)supported by the National Natural Science Foundation of China;; Project(R201706)supported by Hunan Food Pharmaceutical,China
  • 语种:英文;
  • 页:ZNGY201808008
  • 页数:9
  • CN:08
  • ISSN:43-1516/TB
  • 分类号:75-83
摘要
本文研究了一种测定非线性化学指纹图谱新反应体系及其在双体系鉴别方法中的应用。采用该方法对人参、西洋参、三七进行了鉴别。运用2种体系测定了3种样品的非线性化学指纹图谱,体系1由样品成分、硫酸、硫酸锰、溴酸钠、丙酮构成,体系2为新体系,由样品成分、硫酸、硫酸铈铵、溴酸钠、柠檬酸构成。比较2种体系的测定结果,发现体系2的测定速度比体系1快很多;同种样品在2种体系中的系统相似度分别≥98.09%和99.78%,不同样品的系统相似度分别≤63.04%和86.34%。采用系统相似度模型对样品进行鉴定,任一单体系鉴别方法准确度均≥95.6%,双体系的准确度≥97.8%,这表明,双体系的鉴别方法比任何单一体系的准确度都要高。
        A new reaction system to determine nonlinear chemical fingerprint(NCF) and its use in identification method based on double reaction system was researched.Panax ginsengs, such as ginseng, American ginseng and notoginseng were identified by the method.The NCFs of the three samples of Panax ginsengs were determined through two nonlinear chemical systems, namely system 1 consisting of sample components, H_2SO_4, MnSO_4, NaBrO_3, acetone and the new system, system 2 consisting of sample components, H_2SO_4,(NH_4)_4Ce(SO_4)_2, NaBrO_3 and citric acid.The comparison between the results determined through systems 1 and 2 shows that the speed to determine NCF through system 2 is much faster than that through system 1; for systems 1 and 2, the system similarities of the same kind of samples are ≥ 98.09% and 99.78%, respectively, while those of different kinds of samples are ≤ 63.04% and 86.34%, respectively.The results to identify the kinds of some samples by system similarity pattern show that both the accuracies of identification methods based on single system 1 and 2 are ≥ 95.6%, and the average values are 97.1% and 96.3%, respectively; the accuracy of the method based on double system is ≥ 97.8%, and the average accuracy is 99.3%.The accuracy of the method based on double system is higher than that based on any single system.
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