Goat milk authentication by one-class classification of digital image-based fingerprint signatures: Detection of adulteration with cow milk-Reference-Cited by-同舟云学术

Goat milk authentication by one-class classification of digital image-based fingerprint signatures: Detection of adulteration with cow milk

Published:2022-09 Issue: Volume:180 Page:107640
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Pereira Elainy Virginia dos Santos,Fernandes David Douglas de Sousa,de Almeida Luciano Farias,Maciel Maria Inês Sucupira,Diniz Paulo Henrique Gonçalves Dias

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Apoio à Pesquisa do Estado da Paraíba

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference40 articles.

1. A green and cost-effective procedure for determination of anionic surfactants in milk with liquid-liquid microextraction and smartphone-based photometric detection;Acevedo;Microchem. J.,2018

2. Identification of potent antioxidant bioactive peptides from goat milk proteins;Ahmed;Food Res. Int.,2015

3. A fast and inexpensive chemometric-assisted method to identify adulteration in acai (Euterpe oleracea) using digital images;Araújo;Food Anal. Methods,2018

4. Non-destructive authentication of Gourmet ground roasted coffees using NIR spectroscopy and digital images;Araújo;Food Chem.,2021

5. Green food analysis: Current trends and perspectives;Ballesteros-Vivas;Curr. Opin. Green Sustainable Chem.,2021

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