Feasibility of Dispersive Liquid-Liquid Microextraction for Molybdenum Determination in Lamb Meat by MIP OES

Author(s)

Silva, Ana Beatriz S. ^{[1, 2]} ; Sa, Ivero P. ^{[1, 2]} ; Higuera, Julymar M. ^{[1, 2]} ; Nogueira, Ana Rita A. ^[2]

Affiliation

^[1] Univ Fed Sao Carlos, Dept Chem, Grp Appl Instrumental Anal, POB 676, Sao Carlos, SP - Brazil

^[2] Embrapa Pecuaria Sudeste, POB 339, Sao Carlos, SP - Brazil

• Document type: Journal article
• Source: FOOD ANALYTICAL METHODS; v. 14, n. 3, p. 496-502, MAR 2021.
• Web of Science Citations: 0

Abstract

The dispersive liquid-liquid microextraction (DLLME) was evaluated as a strategy to improve the MIP OES sensitivity for molybdenum determination in lamb meat. Initially, the dispersive (methanol) and extracting (tetrachloromethane) solvents were selected based on a mixture design. The best results were achieved with methanol and carbon tetrachloride as dispersive and extracting solvent, respectively. The operational parameters, such as pH, volume of dispersive and extractant solvents, and complexing agent concentration (8-hydroxyquinoline) were optimized using a Box-Behnken design. The optimal conditions were established as pH 3.8, 90 mu L of carbon tetrachloride, 480 mu L of methanol, and 1.09 mmol L(-1)of 8-hydroxyquinoline. Besides, the use of external gas module control (EGCM) was explored to minimize the matrix effects caused by the organic solvent introduction. The accuracy of the proposed method was estimated employing a certificate reference material (bovine liver, NIST 1577c) and the obtained recovery was 92%. The limit of detection was found to be 0.20 mu g g(-1), and the enrichment factor was 4.5. The DLLME-MIP OES was applied for six samples of lamb meat, and the results compared to ICP-MS presented no statistical difference. Therefore, the proposed method showed satisfactory accuracy and suitable sensitivity. (AU)

• FAPESP's process: 18/26145-9 - Bioavailability, bioaccessibility, and speciation of nutrients and inorganic contaminants in meat and fish
• Grantee: Ana Rita de Araujo Nogueira
• Support Opportunities: Regular Research Grants