Voltamperometric discrimination of urea and melamine adulterated skimmed milk powder
Nitrogen compounds like urea and melamine are known to be commonly used for milk adulteration resulting in undesired intoxication; a well-known example is the Chinese episode occurred in 2008. The development of a rapid, reliable and economic test is of relevance in order to improve adulterated milk...
| Autores: | , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Argentina |
| Recursos: | Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
| Repositorio: | Biblioteca Digital (UBA-FCEN) |
| Idioma: | inglés |
| OAI Identifier: | paperaa:paper_14248220_v12_n9_p12220_HildingOhlsson |
| Acesso em linha: | http://hdl.handle.net/20.500.12110/paper_14248220_v12_n9_p12220_HildingOhlsson |
| Access Level: | acceso abierto |
| Palavra-chave: | F-PCA KNN Milk adulteration Rapid screening methods Voltammetry Functional principal component analysis Milk adulterations Rapid screening Screening methods Significant differences Voltammetric data Cyclic voltammetry Metabolism Principal component analysis Urea melamine triazine derivative urea animal article chemistry dairy product f-PCA food contamination methodology milk milk adulteration potentiometry powder principal component analysis rapid screening methods voltammetry Animals Dairy Products Food Contamination Milk Powders Principal Component Analysis Triazines |
| Resumo: | Nitrogen compounds like urea and melamine are known to be commonly used for milk adulteration resulting in undesired intoxication; a well-known example is the Chinese episode occurred in 2008. The development of a rapid, reliable and economic test is of relevance in order to improve adulterated milk identification. Cyclic voltammetry studies using an Au working electrode were performed on adulterated and non-adulterated milk samples from different independent manufacturers. Voltammetric data and their first derivative were subjected to functional principal component analysis (f-PCA) and correctly classified by the KNN classifier. The adulterated and non-adulterated milk samples showed significant differences. Best results of prediction were obtained with first derivative data. Detection limits in milk samples adulterated with 1% of its total nitrogen derived from melamine or urea were as low as 85.0 mg·L-1 and 121.4 mg·L-1, respectively. We present this method as a fast and robust screening method for milk adulteration analysis and prevention of food intoxication. © 2012 by the authors; licensee MDPI, Basel, Switzerland. |
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