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: | Sergio Luis Costa Ferreira, Leonardo S. G. Teixeira, Daniel C. Lima, Alailson F. Dantas, Alex S. N. Trindade |
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| Rok vydání: | 2015 |
| Předmět: |
Sonication
Iron Liquid-Liquid Extraction Analytical chemistry HR-CS FAAS chemistry.chemical_element Zinc law.invention Analytical Chemistry Fatty Acids Monounsaturated law Nickel Plant Oils Sunflower Oil Multivariate optimization Response surface methodology Spectrophotometry Atomic Extraction (chemistry) General Medicine Factorial experiment Soybean Oil Determination of metals Vegetable oil chemistry Multivariate Analysis Rapeseed Oil Atomic absorption spectroscopy Copper Food Science |
| Zdroj: | Food Chemistry. 185:145-150 |
| ISSN: | 0308-8146 |
| DOI: | 10.1016/j.foodchem.2015.03.118 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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