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Updated: Jul 26, 2025

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

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使用单个咖啡豆质谱与机器学习策略的咖啡豆分析和分类

Jia-Jen Tsai1, Che-Chia Chang2, De-Yi Huang1

  • 1Department of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.

Food chemistry
|June 18, 2023
PubMed
概括

单个咖啡豆的直接质谱 (MS) 分析提供了快速的,非破坏性的分类. 这种方法与机器学习相结合,可以准确地区分昂贵的Kopi Luwak和普通豆,保护消费者和行业.

关键词:
环境的电离化环境.在咖啡咖啡咖啡咖啡咖啡咖啡咖啡机器学习 机器学习质谱测量质量谱测量神经网络的神经网络的神经网络棕地咖啡棕地咖啡

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