Literature DB >> 32480258

Qualitative and quantitative analysis based on digital images to determine the adulteration of ketchup samples with Sudan I dye.

Cynthia Giselle Reile1, María Susana Rodríguez1, David Douglas de Sousa Fernandes2, Adriano de Araújo Gomes3, Paulo Henrique Gonçalves Dias Diniz4, Carolina Vanesa Di Anibal5.   

Abstract

Sudan I is a synthetic-azo dye commonly used to adulterate foods to increase sensory appearance. However, it is banned due to its carcinogenic, mutagenic and genotoxic properties, which represent a serious risk to human health. Thus, this paper proposes a feasibility study to identify and quantify Sudan I dye in ketchup samples using colour histograms (obtained from digital images) and multivariate analysis. The successive projections algorithm coupled with linear discriminant analysis (SPA-LDA) classified correctly all samples, while the partial least squares coupled with SPA for interval selection (iSPA-PLS) quantified adequately the adulterant, attaining values of RMSEP of 11.64 mg kg-1, R2 of 0.96, RPD of 5.28, REP of 13.63% and LOD of 39.45 mg kg-1. Therefore, the proposed methodology provides a simple, fast, inexpensive, promising analytical tool for the screening of both the quality and safety of ketchup samples. As a consequence, it can help to protect the consumer's health.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adulteration; Colour histograms; Ketchup; Multivariate analysis; Successive projections algorithm; Sudan I dye

Year:  2020        PMID: 32480258     DOI: 10.1016/j.foodchem.2020.127101

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

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Authors:  Jingya Wang; Xianhua Song; Ahmed A Abd El-Latif
Journal:  Entropy (Basel)       Date:  2022-06-27       Impact factor: 2.738

2.  Automated monitoring the kinetics of homogeneous and heterogeneous chemical processes using a smartphone.

Authors:  Mateus H Keller; Raphaell Moreira; Bruno S Souza
Journal:  Sci Rep       Date:  2022-09-21       Impact factor: 4.996

  2 in total

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