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Updated: Jul 23, 2025

Fruit Volatile Analysis Using an Electronic Nose
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基于离子移动谱学结合机器学习的新方法,用于对果汁进行歧视

José Luis P Calle1, Mercedes Vázquez-Espinosa1, Marta Barea-Sepúlveda1

  • 1Department of Analytical Chemistry, Faculty of Sciences, University of Cadiz, IVAGRO, ceiA3, Puerto Real, 11510 Cadiz, Spain.

Foods (Basel, Switzerland)
|July 14, 2023
PubMed
概括

这项研究引入了一种使用头空气色谱与离子移动性光谱 (HS-GC-IMS) 和机器学习来准确识别果汁的新方法. 该技术在分类子,子,果和葡萄汁方面实现了100%的准确性.

关键词:
盒子 背面的 标签果汁 果汁 果汁 果汁 果汁离子流动性光谱仪离子流动性光谱仪机器学习是机器学习.优化的优化优化优化.随机的森林随机的森林支持矢量机器的支持矢量机器.

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