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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Detalles Bibliográficos
Autores principales: Xue, Yingchao, Jiang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297676/
https://www.ncbi.nlm.nih.gov/pubmed/37372614
http://dx.doi.org/10.3390/foods12122402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297676/
https://www.ncbi.nlm.nih.gov/pubmed/37372614
http://dx.doi.org/10.3390/foods12122402

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