Use este identificador para citar ou linkar para este item: http://www.repositorio.ufop.br/jspui/handle/123456789/14179
Título: Application of aqueous two-phase systems for the extraction of pharmaceutical compounds from water samples.
Autor(es): Assis, Roberta Condé de
Mageste, Aparecida Barbosa
Lemos, Leandro Rodrigues de
Orlando, Ricardo Mathias
Rodrigues, Guilherme Dias
Palavras-chave: Emerging contaminants
Data do documento: 2020
Referência: ASSIS, R. C. de et al. Application of aqueous two-phase systems for the extraction of pharmaceutical compounds from water samples. Journal of Molecular Liquids, v. 301, artigo 112411, 2020. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0167732219361409>. Acesso em: 10 jun. 2021.
Resumo: In this study, the proposal was to use aqueous two-phase systems (ATPS) as a sample preparation technique for the determination of five pharmaceuticals, classified as emerging contaminants (EC): ibuprofen, paracetamol, ciprofloxacin, norfloxacin and amoxicillin. The evaluation of this study was performed through the partition co efficient (K) of each pharmaceutical by varying some parameters of the system, such as the pH value of the me dium, the nature of the ATPS-forming electrolyte and polymer, the tie-line length (TLL), the system temperature and the mass ratio between the top and bottom phases of the ATPS. Values of K between 9.30 and 1150 were ob tained for the five pharmaceuticals during the system optimization. The ATPS also proved to be efficient as a sam ple preparation technique in the partition of the studied pharmaceuticals when applied to water samples, including drinking water, surface water and filtered water from a water treatment plant. The values of the parti tion coefficients found in these complex samples ranged from 2.49 to 74.2.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/14179
Link para o artigo: https://www.sciencedirect.com/science/article/abs/pii/S0167732219361409
DOI: https://doi.org/10.1016/j.molliq.2019.112411
ISSN: 0167-7322
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