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Fruit Volatile Analysis Using an Electronic Nose
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在Artemisiae argyi Levl.中识别特有的挥发性化合物. 越来越多的人. 来自不同的来源,使用E-nose和HS-GC-IMSS
Rui Ma1, Ruiying Zhang1, Weimeng Feng1
1School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China; Henan Key Laboratory of Chinese Medicine Resources and Chemistry, Zhengzhou, Henan 450046, China; Co-Construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan and Education Ministry of P.R., Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Journal of pharmaceutical and biomedical analysis
|February 28, 2026
概括
对Artemisia argyi (A. argyi) 草药的质量控制至关重要. 这项研究使用电子鼻子 (E-nose) 和HS-GC-IMS来识别关键的挥发性化合物和E-nose传感器来区分来自不同地区的A. argyi.
科学领域:
- 植物化学 植物化学
- 分析化学 分析化学
- 传统中国医药 传统中国医药
背景情况:
- 阿尔特梅西亚阿尔吉伊莱夫尔. 越来越多的人. 是一种有价值的传统中国药用草本,具有多样化的治疗性质.
- 由于环境和种植因素,A. argyi质量的显著变化被归因于环境和种植因素,需要可靠的认证方法.
研究的目的:
- 从六个不同的地理区域调查和区分A. argyi的挥发性化合物概况.
- 为了识别关键的挥发性化合物和电子鼻子 (E-nose) 传感器,表明区域来源.
- 为A. argyi. 的质量控制和地理来源识别建立一个方法参考.
主要方法:
- 利用头部气体染色学-离子移动性谱学 (HS-GC-IMS) 进行挥发性化合物分析.
- 使用电子鼻子 (E-nose) 来分析传感器对A. argyi样本的反应.
- 综合化学测量方法,包括正交部分最小方程差异分析 (OPLS-DA),以确定显著的歧视因素.
主要成果:
- 在A. argyi中确定了106种挥发性化合物,其中类构成了总量的39.62%.
- 电子鼻子传感器W1W和W2W显示出高灵敏度,来自Qichun (QC) 样本的信号最强.
- 28个关键挥发性化合物和2个E鼻传感器被确定为区域差异的重要贡献者,HS-GC-IMS和E鼻数据之间发现了6个共同标记.
结论:
- 类化合物是影响A. argyi. 的化学特征的关键组成部分.
- 通过HS-GC-IMS和E-nose技术的组合,得到化学测量的支持,有效地根据地理来源区分A. argyi.
- 已识别的挥发性化合物和E-鼻子传感器可以作为确保A. argyi.质量和真实性的潜在标记.
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