Monitoring of twenty-two sulfonamides in edible tissues: Investigation of new metabolites and their potential toxicity

Abdallah Hiba , Arnaudguilhem Carine , Abdul Rahim Haifa , Ryszard Łobiński , Jaber Farouk


The extensive and unregulated use of antibacterial drugs in animal farms in Lebanon can lead to detrimental consequences for the public health. To monitor the levels of sulfonamides and their metabolites in farms in Lebanon, a total of 304 meat samples were collected and analyzed using liquid chromatography coupled to triple quadrupole and hybrid linear ion trap-Orbitrap mass spectrometry following QuEChERS-based extraction. Sulfonamide residues could be detected in forty-six samples, ten of which contained a concentration of sulfaquinoxaline (151.4–1196.7 μg kg−1 in chicken samples) and sulfadiazine (109.8 μg kg−1 in a beef sample) exceeding the European Union-based maximum residue level by 1–12 folds, and thus were unfit for human consumption. Several acetylated, hydroxylated, and/or sulfated metabolites were identified, some of which were not previously detected in edible tissues. Most identified metabolites exhibited potential toxicity equivalent or higher than that of the parent molecule as estimated by in silico tests.
Author Abdallah Hiba
Abdallah Hiba,,
, Arnaudguilhem Carine
Arnaudguilhem Carine,,
, Abdul Rahim Haifa
Abdul Rahim Haifa,,
, Ryszard Łobiński (FC / CAC)
Ryszard Łobiński,,
- Chair Of Analytical Chemistry
, Jaber Farouk
Jaber Farouk,,
Journal seriesFood Chemistry, ISSN 0308-8146
Issue year2016
Publication size in sheets0.5
Keywords in EnglishSulfonamides, Metabolites, Meat, LC–QqQ-MS, Orbitrap, Toxicity
ASJC Classification2700 General Medicine; 1106 Food Science; 1602 Analytical Chemistry
Languageen angielski
1-s2.0-S0308814615009851-main.pdf 2.42 MB
Score (nominal)40
ScoreMinisterial score = 40.0, 10-09-2019, ArticleFromJournal
Ministerial score (2013-2016) = 40.0, 10-09-2019, ArticleFromJournal
Publication indicators WoS Citations = 15; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 2.091; WoS Impact Factor: 2016 = 4.529 (2) - 2016=4.498 (5)
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