Monitoring of Chlorpyrifos Residues in Corn Oil Based on Raman Spectral Deep-Learning Model

This study presents a novel method for the quantitative detection of residual chlorpyrifos in corn oil through Raman spectroscopy using a combined long short-term memory network (LSTM) and convolutional neural network (CNN) architecture. The QE Pro Raman+ spectrometer was employed to collect Raman s...

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Bibliographic Details

Published in:	Foods
Main Authors:	Yingchao Xue, Hui Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Subjects:	Raman spectroscopy corn oil deep learning chlorpyrifos quantitative analysis
Online Access:	https://www.mdpi.com/2304-8158/12/12/2402