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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Total sulfonamides determination in bovine milk using smartphone-based digital images

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Author(s):
Maroubo, Lais A. [1] ; Pedrina, Giovana [1] ; Melchert, Wanessa R. [1]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Coll Agr Luiz de Queiroz, POB 9, BR-13418970 Piracicaba, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Microchemical Journal; v. 170, NOV 2021.
Web of Science Citations: 0
Abstract

Sulfonamides are low-cost synthetic antimicrobials that are widely used in both veterinary and human medicine to treat diseases and control and prevent infections. Long periods of exposure to sulfonamides may cause adverse effects such as heart problems, allergic reactions, and hepatic and digestive dysfunction in humans. The maximum residue limit established for the total quantity of sulfamethazine, sulfadimethoxine, and sulfathiazole in bovine milk is 100 mu g L-1. This study aims to employ dispersive liquid-liquid microextraction (DLLME) as a green chemistry technique for the extraction of total sulfonamides in bovine milk samples. The procedure involves the formation of an imino salt, posterior DLLME with 1-butanol, and measurement using digital images. A linear response was observed between 50 and 1000 mu g L-1 for total sulfonamides, described by the equation: Analytical signal = 3.02 + 0.03 C (mu g L-1) (R-2 = 0.999). The coefficient of variation (n = 11; 250 mu g L-1 total sulfonamides) and the detection limit were estimated to be 0.49% and 20 mu g L-1, respectively. For 0.50 mL of milk sample, 0.75 mg p-DAC, 17.30 mg SDS, 49.20 mg of trichloroacetic acid, and 0.50 mL 1-butanol were consumed. Recovery tests using the addition-recuperation method were performed, achieving 88 and 100% recovery. The results agreed with those obtained by a HPLC procedure at 95% confidence level. (AU)

FAPESP's process: 18/24029-1 - Environmentally friendly technologies in the sample preparation of food
Grantee:Wanessa Melchert Mattos
Support Opportunities: Regular Research Grants