Rapid and sensitive approaches for detecting food fraud: A review on prospects and challenges-Reference-Cited by-同舟云学术

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Rapid and sensitive approaches for detecting food fraud: A review on prospects and challenges

Published:2024-10 Issue: Volume:454 Page:139817
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Sharma Ramesh,Nath Pinku Chandra,Lodh Bibhab Kumar,Mukherjee Jayanti,Mahata Nibedita,Gopikrishna Konga,Tiwari Onkar Nath,Bhunia Biswanath

Funder

Department of Science and Technology

National Institute of Technology Agartala

Science and Engineering Research Board

Publisher

Elsevier BV

Reference165 articles.

1. A wavelet neural network conjunction model for groundwater level forecasting;Adamowski;Journal of Hydrology,2011

2. Recent advances and applications of artificial intelligence and related technologies in the food industry;Addanki;Applied Food Research,2022

3. Advances in authenticity testing for meat speciation;Amaral,2016

4. Histidine dipeptides HPLC-based test for the detection of mammalian origin proteins in feeds for ruminants;Aristoy;Meat Science,2004

5. Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA);Asensio;Food Control,2008

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