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Updated: Jun 29, 2025

Fruit Volatile Analysis Using an Electronic Nose
11:02

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

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使用气体染色学-差分移动性光谱学 (GC-DMS) 和机器学习分析的非破坏性方法,从挥发性有机化合物 (VOC) 排放中分类核桃核的新鲜度

Pranay Chakraborty1,2, Eva Borras1,2, Maneeshin Y Rajapakse1,2

  • 1Department of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA, USA.

Applied food research
|April 3, 2024
PubMed
概括

核桃中的挥发性有机化合物 (VOC) 可以预测性. 气色谱-差分移动谱 (GC-DMS) 使用机器学习准确地分类了核桃新鲜度等级.

关键词:
不同的移动性谱测法差异移动性谱测法机器学习是机器学习.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量过氧化物价值 过氧化物价值腐烂性 腐烂性 腐烂性

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