Multicomponent prediction of Sudan dye adulteration in crude palm oil using SERS – Based bimetallic nanoflower combined with genetic algorithm-Reference-Cited by-同舟云学术

Multicomponent prediction of Sudan dye adulteration in crude palm oil using SERS – Based bimetallic nanoflower combined with genetic algorithm

Published:2024-01 Issue: Volume:125 Page:105768
ISSN:0889-1575
Container-title:Journal of Food Composition and Analysis
language:en
Short-container-title:Journal of Food Composition and Analysis

Author:

Adade Selorm Yao-Say Solomon,Lin Hao,Haruna Suleiman A.,Johnson Nana Adwoa Nkuma,Barimah Alberta Osei,Afang Zhu,Chen Zeyu,Ekumah John-Nelson,Fuyun Wang,Li Huanhuan,Chen Quansheng

Publisher

Elsevier BV

Subject

Food Science

Reference40 articles.

1. SERS-based sensor coupled with multivariate models for rapid detection of palm oil adulteration with Sudan II and IV dyes;Adade;J. Food Compos. Anal.,2022

2. Fraud detection in crude palm oil using SERS combined with chemometrics;Adade;Food Chem.,2022

3. Design of physicochemical factors for regulating the retention mechanism of 4-aminothiophenol in surface-enhanced raman scattering toward nitrite sensing;Ahmad;J. Phys. Chem. C.,2020

4. Qualitative analysis of Sudan IV in edible palm oil;Andoh;J. Eur. Opt. Soc.,2019

5. Butt, Y.N. (2016). Sudan dyes and their potential health effects food Food and Biotechnology Research Centre ( FBRC) PCSIR Laboratories Complex, Ferozepur Road Lahore-54600, Pakistan Institute of Biochemistry and Biotechnology, University of the Punjab, Lahore. 49(March).

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3. 18 Year analysis of RASFF notifications on Sudan dye adulterated cases in palm oil (2004 to 2022) and the principles of the technique for its detection;Sustainable Food Technology;2024