Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Transform Infrared Spectroscopy

Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Transform Infrared Spectroscopy

As one kind of ‘probable human carcinogen’ (Group 2B) compound classified by the International Agency for Research on Cancer, 3-MCPD is mainly formed during the thermal processing of food. Tedious pretreatment techniques are needed for the existing analytical methods to quantify 3-MCPD. Hence, a non...

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Bibliographic Details
Main Authors: Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Foods
Subjects:
3-monochloropropane-1,2-diol
Fourier transform infrared spectroscopy
data preprocessing
convolutional neural network
rapid detection
Online Access:https://www.mdpi.com/2304-8158/14/10/1670
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