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Updated: Jan 11, 2026

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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基于特拉赫兹光谱和机器学习算法识别复合香料的研究

Bin Ma1, Yi Ding1, Ling Feng1

  • 1School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.

Journal of food protection
|November 15, 2025
PubMed
概括

特拉赫兹光谱和机器学习能够准确地识别香料及其混合物. 这种非破坏性方法确保了香料的质量,并防止了全球市场上的改.

关键词:
二元混合物 二元混合物分类模型的分类模型.机器学习 机器学习香料和香料 在香料和香料.太赫兹光谱学是一次特拉赫兹光谱学.

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