DESENVOLVIMENTO DE METODOLOGIA PARA DETECÇÃO DE FORMALDEÍDO EM AMOSTRAS DE LEITE POR CG-EM.

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Vaz, Everton Barbosa
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Mestrado em Agroquímica
Centro de Ciências Exatas, Naturais e da Saúde
UFES
Programa de Pós-Graduação em Agroquímica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufes.br/handle/10/14541
Resumo: Milk is one of the most consumed foods in the world due to its high nutritional value. Because it has a pH close to neutrality, milk is a product conducive to the appearance of undesirable microorganisms. The milk industry(the dairy industry) has the obligation to supply a good quality product and the heat treatments have the function of eliminating the contamination present there. Industry must also supply a product that is free from any adulteration. The use of preservatives is the most common adulteration as/since formaldehyde for example, is used to eliminate microorganisms. Formaldehyde is a very toxic and carcinogenic compound and causes irreparable damage to the health of those who consume it. In the present study, a gas chromatography method for the determination of formaldehyde in milk samples was developed and validated. The methodology used was developed and applied to milk samples from twelve different brands with two lots of each make. The developed methodology allowed a quantitative analysis of formaldehyde in milk samples. The obtained results in this study lie within what was suggested by the European Food Safety Authority (EFSA), which is 0.1ppm - 0.8 ppm. Gas chromatography coupled to the mass spectrometer allowed for better analysis of the samples, providing better selectivity, precision and greater reliability of the results.