Trends in Food Science and Technology, volume 156, pages 104872

Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives

Wajeeha Pervaiz
, 
Muhammad Hussnain Afzal
, 
Feng Niu
, 
Xuewen Peng
, 
Yiping Chen
Publication type: Journal Article
Publication date: 2025-02-01
scimago Q1
wos Q1
SJR: 2.999
CiteScore: 32.5
Impact factor: 15.1
ISSN: 09242244, 18793053
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Pervaiz W. et al. Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives // Trends in Food Science and Technology. 2025. Vol. 156. p. 104872.
GOST all authors (up to 50) Copy
Pervaiz W., Afzal M. H., Feng Niu, Peng X., Chen Y. Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives // Trends in Food Science and Technology. 2025. Vol. 156. p. 104872.
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RIS Copy
TY - JOUR
DO - 10.1016/j.tifs.2025.104872
UR - https://linkinghub.elsevier.com/retrieve/pii/S0924224425000081
TI - Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives
T2 - Trends in Food Science and Technology
AU - Pervaiz, Wajeeha
AU - Afzal, Muhammad Hussnain
AU - Feng Niu
AU - Peng, Xuewen
AU - Chen, Yiping
PY - 2025
DA - 2025/02/01
PB - Elsevier
SP - 104872
VL - 156
SN - 0924-2244
SN - 1879-3053
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Pervaiz,
author = {Wajeeha Pervaiz and Muhammad Hussnain Afzal and Feng Niu and Xuewen Peng and Yiping Chen},
title = {Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives},
journal = {Trends in Food Science and Technology},
year = {2025},
volume = {156},
publisher = {Elsevier},
month = {feb},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0924224425000081},
pages = {104872},
doi = {10.1016/j.tifs.2025.104872}
}
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