Multivariate optimization of a dispersive liquid-liquid microextraction method for determination of copper and manganese in coconut water by FAAS. (15th December 2021)

• Record Type: Journal Article
• Authors: Trindade, Joabes Santos; Lemos, Valfredo Azevedo; Mata Cerqueira, Uillian Mozart Ferreira; Novaes, Cleber Galvao; Araujo, Sulene Alves; Bezerra, Marcos Almeida
• Is Part Of: Food chemistry. Volume 365(2021)
• Publication Date: 2021-12-15
• Subjects: Coconut water -- DLLME -- Metals -- Mixture design -- Doehlert design -- Desirability function; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2021.130473
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: Mixture and Doehlert designs used to develop a extraction method; A dispersive liquid-liquid microextraction procedure was optimized; Copper and manganese were determined in coconut water samples; Analytical characteristics were adequate for this application; Abstract: In this study, multivariate methodologies were applied in the optimization of a dispersive liquid–liquid microextraction (DLLME) method, aiming at the determination of Cu and Mn in coconut water samples by flame atomic absorption spectrometry. Some extractors (chloroform and CCl4 ), dispersants (ethanol, methanol and acetonitrile) and complexing agents (5-Br-PADAP and Dithzone) were previously tested in the extraction. A mixture design was used to optimize the component proportions formed by chloroform (10%), acetonitrile (76%), and 0.020% 5-Br-PADAP solution (14%). Doehlert design optimized the variables pH, NaCl, and buffer amounts for the extraction of both metals. The following analytical characteristics, respectively for Cu and Mn, were accessed: limit of quantification (4.83 and 3.32 µg L −1 ), enrichment factors (11 and 8 fold), and precision (6.6 and 6.0% RSD, n = 10). Addition/recovery tests of the analytes allowed to find values in the range of 96.5–120% for Cu and 99–107% for Mn.