基于电子智能感官技术和化学成分的野生和栽培的Gentiana macrophylla的多维比较分析
Juanjuan Liu1, Yiyang Chen1, Jialing Zhang1
1School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu Province, China.
Heliyon
|March 4, 2025
概括
智能感官技术和化学分析可以区分野生和栽培的Gentiana macrophylla. 这有助于保护药用植物并优化其使用.
科学领域:
- 药理学是指药理学,即药理学是指药理学.
- 分析化学 分析化学
- 化学分类学 化学分类学
背景情况:
- 甘 (Gentiana macrophylla radix) 是一种重要的传统中医药,种植量越来越大.
- 了解野生和栽培的G. macrophylla之间的化学差异对于质量控制和资源管理至关重要.
研究的目的:
- 开发和应用一种综合分析方法来研究野生和栽培G. macrophylla.之间的化学差异.
- 通过智能感官技术和多变量统计分析,区分野生和栽培的G. macrophylla.
主要方法:
- 使用了色度测量,电子鼻子 (eNose),头部空间固相微提取与气色谱-质谱 (HS-SPME-GC-MS) 以及高性能液色谱 (HPLC) 的组合.
- 采用多变量统计分析来解释来自感官和化学分析的数据.
- 确定和量化主要的非挥发性化合物和分析的挥发性成分.
主要成果:
- 野生和种植的G. macrophylla的化学成分基本上是相似的,主要化合物是Gentiopicroside,Loganic acid和6-O-β-D-glucosylgentiopicroside.
- 总共有39个挥发性成分被确定,其中17个是野生品种独有的,11个是种植品种独有的.
- 非门,六和,1,2-dimethoxy-是主要的气味贡献者.
结论:
- 智能感官技术与化学分析相结合,提供了一种快速而灵敏的方法来区分野生和栽培的G. macrophylla.
- 这些发现支持遗传资源的保护,并增强栽培药用植物的有效利用.
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