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DOI 10.1016/j.jpba.2023.115913

Медицинская библиотека · Journal of pharmaceutical and biomedical analysis · 2023

A facile fabric phase sorptive extraction method for monitoring chloramphenicol residues in milk samples.

Ben Ayed Amina, Ulusoy Halil İbrahim, Polat Ummügülsüm, Ulusoy Songül, Locatelli Marcello, Kabir Abuzar, Khemakhem Hamadi

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Аннотация

Determination of pharmaceutical active molecules in the biological matrices is crucial in various fields of clinical and pharmaceutical chemistry, e.g., in pharmacokinetic studies, developing new drugs, or therapeutic drug monitoring. Chloramphenicol (CP) is used for treating bacterial infections, and it's one of the first antibiotics synthetically manufactured on a large scale. Fabric phase sorptive extraction (FPSE) was used to determine Chloramphenicol antibiotic residues in milk samples by means of validated HPLC-DAD instrumentation. Cellulose fabric phases modified with polyethylene glycol-block-polypropylene glycol-block-polyethylene glycol triblock copolymer was synthesized using sol-gel synthesis approach (Sol-gel PEG-PPG-PEG) and used for batch-type fabric phase extractions. Experimental variables of the FPSE method for antibiotic molecules were investigated and optimized systematically. The HPLC analysis of chloramphenicol was performed using a C18 column, isocratic elution of trifluoroacetic acid (0.1%), methanol, and acetonitrile (17:53:30) with a flow rate of 1.0 mL/min. The linear range for the proposed method for chloramphenicol (r2 > 0.9982) was obtained in the range of 25.0-1000.0 ng/mL. The limit of detections (LOD) is 8.3 ng/mL, while RSDs% are below 4.1%. Finally, the developed method based on FPSE-HPLC-DAD was applied to milk samples to quantitatively determine antibiotic residues.

Для цитирования: Ben Ayed Amina, Ulusoy Halil İbrahim, Polat Ummügülsüm, Ulusoy Songül, Locatelli Marcello, Kabir Abuzar, Khemakhem Hamadi. A facile fabric phase sorptive extraction method for monitoring chloramphenicol residues in milk samples.. Journal of pharmaceutical and biomedical analysis. 2023. DOI: 10.1016/j.jpba.2023.115913.

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