基于电子鼻技术区分不同产地的南五味子

黄得栋; 何微微; 晋玲; 马晓辉; 卢有媛; 林丽; 朱田田

doi:10.13422/j.cnki.syfjx.2017230022

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基于电子鼻技术区分不同产地的南五味子

资源与鉴定 | 更新时间：2024-01-04

- 基于电子鼻技术区分不同产地的南五味子
- Distinguish Schisandrae Sphenantherae Fructus from Different Producing Areas Based on Electronic Nose Technology
- 中国实验方剂学杂志 2017年23卷第23期页码：22-26
- 作者机构：
- 作者简介：
- 基金信息：
  
  中央本级重大增减支项目-名贵中药资源可持续利用能力建设（2060302）;甘肃省基础研究创新群体项目（1606RJIA323）;中央引导地方科技发展专项“甘肃省中药资源与产品开发创新平台建设”
- DOI：10.13422/j.cnki.syfjx.2017230022
  中图分类号： R284.1
- 纸质出版日期：2017
- 稿件说明：
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黄得栋, 何微微, 晋玲, 等. 基于电子鼻技术区分不同产地的南五味子[J]. 中国实验方剂学杂志, 2017,23(23):22-26.

HUANG De-dong, HE Wei-wei, JIN Ling, et al. Distinguish Schisandrae Sphenantherae Fructus from Different Producing Areas Based on Electronic Nose Technology[J]. Chinese journal of experimental traditional medical formulae, 2017, 23(23): 22-26.
黄得栋, 何微微, 晋玲, 等. 基于电子鼻技术区分不同产地的南五味子[J]. 中国实验方剂学杂志, 2017,23(23):22-26. DOI： 10.13422/j.cnki.syfjx.2017230022.

HUANG De-dong, HE Wei-wei, JIN Ling, et al. Distinguish Schisandrae Sphenantherae Fructus from Different Producing Areas Based on Electronic Nose Technology[J]. Chinese journal of experimental traditional medical formulae, 2017, 23(23): 22-26. DOI： 10.13422/j.cnki.syfjx.2017230022.

摘要

目的：应用电子鼻方法区分不同产地的南五味子药材，为在实际应用中南五味子药材的产地判断提供新方法。方法：通过单因素试验及正交试验确定南五味子电子鼻测定的最佳试验条件。应用主成分分析、主成分分析结合线性判别分析2种分析方法来区分不同产地的南五味子。结果：研究结果表明，电子鼻测定南五味子影响因素由大到小依次为室温放置时间 > 称样量 > 进气量；电子鼻测定南五味子的最佳参数组合为称样量5.0 g进气量100 mL·min-1，样品室温放置时间10 min；验证实验结果表明，在最佳条件下测定南五味子，样品区分度可以达到0.986。主成分分析法对不同产地的南五味子有一定的区分能力，但甘肃省华亭县、徽县江洛镇、武都区3个产地的南五味子区分结果不明显；主成分分析法结合线性判别分析法对不同产地的南五味子区分能力优于主成分分析法，区分结果显著，在本实验中能够很好地区分甘肃省华亭县、徽县江洛镇、武都区3个产地的南五味子。结论：该研究利用南五味子的特殊气味运用电子鼻对不同产地的南五味子作了细致的区分，区分效果显著，对以后快速、客观、简便、绿色的鉴别不同产地的南五味子药材提供了新思路，新方法。

Abstract

Objective: To apply electronic nose method distinguish Schisandrae Sphenantherae Fructus from different habitats

a new method for the determination of the origin of Schisandrae Sphenantherae Fructus. Method: To determine the best experimental conditions for the electronic nose technology of Schisandrae Sphenantherae Fructus by single factor test and orthogonal test

and distinguish the Schisandrae Sphenantherae Fructus samples from different producing areas based on principal component analysis and principal component analysis combined with linear discriminant analysis. Result: The results showed that the influencing factors of Schisandrae Sphenantherae Fructus were as follows from high to low:Storage time at room temperature > sample weight > air intake amount. The optimum parameters for the determination of Schisandrae Sphenantherae Fructus were 5.0 g sample weight

100 mL·min-1 air intake and 10 min storage at room temperature. The experimental results showed that the discriminative power of Schisandrae Sphenantherae Fructus under the optimum conditions could reach 0.986.Principal component analysis could be used to distinguish the Schisandrae Sphenantherae Fructus samples from different areas

but this method showed no obvious distinction ability on Schisandrae Sphenantherae Fructus from Gansu Huating county

Jiangluo town and Wudu county. The method of principal component analysis combined with linear discriminant analysis was superior to principal component analysis for distinguishing the Schisandrae Sphenantherae Fructus samples from different producing areas

with a clear distinguishing result on the samples from Huating county

Jiangluo town and Wudu county in this experiment. Conclusion: In this study

electronic nose combined with the special smell of Schisandrae Sphenantherae Fructus was used for detailed distinction about Schisandrae Sphenantherae Fructus samples from different producing areas

with significant distinguishing effect. This study can provide a new idea and method for objective

simple and green identification of Schisandrae Sphenantherae Fructus samples from different producing areas.

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