GC-MS Fingerprints Profiling Using Machine Learning Models for Food Flavor Prediction

GC-MS Fingerprints Profiling Using Machine Learning Models for Food Flavor Prediction

Food flavor quality evaluation is attracting continuous attention, but a suitable evaluation system is severely lacking. Gas chromatography-mass spectrometry/olfactometry (GC-MS/O) is widely used to solve the food flavor evaluation problem, but the olfactometry evaluation is unfeasible to be carried...

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Bibliographic Details
Main Authors: Kexin Bi, Dong Zhang, Tong Qiu, Yizhen Huang
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Processes
Subjects:
gc-ms/o profiling
machine learning
convolutional neural network
fingerprint modeling
odor compounds
Online Access:https://www.mdpi.com/2227-9717/8/1/23

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