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Updated: Jan 18, 2026

Author Spotlight: Exploring Tea Aroma Using Solvent-Assisted Flavor Evaporation Technique
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Published on: May 26, 2023

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机器学习支持的风味学在不同的提取工艺下解读莉花精油中香味配置文件的分子基础

Ziyang Wu1, Zhangcheng Liang2, Hang Wei3

  • 1College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Fujian Provincial Key Laboratory of Quality Science and Processing Technology in Special Starch, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Engineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition (Ministry of Education), Fujian Agriculture and Forestry University, Fuzhou 350002, China.

Food research international (Ottawa, Ont.)
|January 15, 2026
PubMed
概括

超临界CO2提取 (SFE-CO2) 提高了莉花油的产量和香气质量. 机器学习识别了诸如龙和α-Ionone之类的关键化合物,改善了花音和减少了工业应用中的异味.

关键词:
提取过程 提取过程在GC-IMSS中.在HS-SPME-GCMS中使用.这就是 SHAP SHAP 的意思.在XGBoost中使用.

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