Traceability of Boletaceae mushrooms using data fusion of UV-visible and FTIR combined with chemometrics methods.

Sen YaoTao LiHongGao LiuJieQing LiYuan-Zhong Wang

Published in: Journal of the science of food and agriculture (2017)

The results demonstrated that the data fusion strategy of UV-visible and FTIR combined with GS-SVM could provide a higher synergic effect for traceability of Boletaceae mushrooms and have a good generalization ability for the comprehensive quality control and evaluation of similar foods. © 2017 Society of Chemical Industry.

Keyphrases

quality control
electronic health record
big data
machine learning
mass spectrometry
data analysis
gas chromatography mass spectrometry
deep learning