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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| 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 |