相关实验视频

Updated: Jan 29, 2026

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
05:29

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry

Published on: June 9, 2021

4.4K

蜂蜜植物起源认证使用HS-SPME-GC-MS挥发性分析和高级机器学习模型 (随机森林,XGBoost和神经网络)

Amir Pourmoradian1, Mohsen Barzegar1, Ángel A Carbonell-Barrachina2

  • 1Department of Food Science and Technology, Faculty of Agriculture, Tarbiat Modares University, Tehran P.O. Box 14115-336, Iran.

Foods (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究使用Headspace固相微提取气色谱-质谱 (HS-SPME-GC-MS) 和机器学习来识别蜂蜜.

关键词:
在GCMS中使用.植物起源 植物起源化学测量方法 化学测量方法染色体学 染色体学 染色体学蜂蜜认证真实性 蜂蜜认证真实性神经网络的神经网络的神经网络挥发性化合物 挥发性化合物

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