Multivariate optimization of ultrasound-assisted extraction for determination of Cu, Fe, Ni and Zn in vegetable oils by high-resolution continuum source atomic absorption spectrometry.

Autor: Trindade AS; Instituto de Química, Universidade Federal da Bahia, Campus Universitário de Ondina, Salvador, Bahia 40170-290, Brazil., Dantas AF; Instituto de Química, Universidade Federal da Bahia, Campus Universitário de Ondina, Salvador, Bahia 40170-290, Brazil., Lima DC; Departamento de Ciências Exatas e Tecnológicas, Universidade Estadual de Santa Cruz, Campus Soane Nazaré de Andrade, Ilhéus, Bahia 45662-900, Brazil., Ferreira SL; Instituto de Química, Universidade Federal da Bahia, Campus Universitário de Ondina, Salvador, Bahia 40170-290, Brazil; INCT de Energia e Ambiente, Universidade Federal da Bahia, Salvador, Bahia 40170-280, Brazil., Teixeira LS; Instituto de Química, Universidade Federal da Bahia, Campus Universitário de Ondina, Salvador, Bahia 40170-290, Brazil; INCT de Energia e Ambiente, Universidade Federal da Bahia, Salvador, Bahia 40170-280, Brazil. Electronic address: lsgt@ufba.br.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2015 Oct 15; Vol. 185, pp. 145-50. Date of Electronic Publication: 2015 Apr 02.
DOI: 10.1016/j.foodchem.2015.03.118
Abstrakt: An assisted liquid-liquid extraction of copper, iron, nickel and zinc from vegetable oil samples with subsequent determination by high-resolution continuum source flame atomic absorption spectrometry (HR-CS FAAS) was optimized by applying a full factorial design in two levels and the response surface methodology, Box-Behnken. The effects of the acid concentration and the amplitude, cycle and time of sonication on the extraction of the analytes, as well as their interactions, were assessed. In the selected condition (sonication amplitude = 66%, sonication time = 79 s, sonication cycle = 74%), using 0.5 mol L(-1) HCl as the extractant, the limits of quantification were 0.14, 0.20, 0.21 and 0.04 μg g(-1) for Cu, Fe, Ni and Zn, respectively, with R.S.D. ranging from 1.4% to 3.6%. The proposed method was applied for the determination of the analytes in soybean, canola and sunflower oils.
(Copyright © 2015 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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