Non-destructive method to classify walnut kernel freshness from volatile organic compound (VOC) emissions using gas chromatography-differential mobility spectrometry (GC-DMS) and machine learning analysis

Non-destructive method to classify walnut kernel freshness from volatile organic compound (VOC) emissions using gas chromatography-differential mobility spectrometry (GC-DMS) and machine learning analysis

Analysis of volatile organic compounds (VOCs) can be an effective strategy to inspect the quality of horticultural commodities and following their degradation. In this work, we report that VOCs emitted by walnuts can be studied using gas chromatography-differential mobility spectrometry (GC-DMS), an...

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Bibliographic Details
Main Authors: Pranay Chakraborty, Eva Borras, Maneeshin Y. Rajapakse, Mitchell M. McCartney, Matthew Bustamante, Elizabeth J. Mitcham, Cristina E. Davis
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Applied Food Research
Subjects:
Machine learning
Differential mobility spectrometry
Mass spectrometry
Peroxide value
Rancidity
Online Access:http://www.sciencedirect.com/science/article/pii/S2772502223000471

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http://www.sciencedirect.com/science/article/pii/S2772502223000471

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