Prediction of total volatile basic nitrogen (TVB-N) in fish meal using a metal-oxide semiconductor electronic nose based on the VMD-SSA-LSTM algorithm.

Pei LiZhaopeng LiYangting HuShiya HuangNa YuZhiyou NiuZhenhe WangHua ZhouXia Sun

Published in: Journal of the science of food and agriculture (2024)

This method improves the performance of e-nose in detecting the freshness of fish meal and provides a reference for the quality detection of e-nose in other materials. © 2024 Society of Chemical Industry.

Keyphrases

neural network
machine learning
deep learning
loop mediated isothermal amplification
room temperature
real time pcr
quality improvement
gas chromatography
mass spectrometry
amino acid