CV


Alireza Farrokhi

Alireza Farrokhi

Associate Professor

Faculty: Science

Department: Chemistry

Degree: Doctoral

Birth Year: 1973

CV
Alireza Farrokhi

Associate Professor Alireza Farrokhi

Faculty: Science - Department: Chemistry Degree: Doctoral | Birth Year: 1973 |

A novel zeolitic imidazolate MOF-on-mof homostructure for the rapid and sensitive quantification of enrofloxacin in complex food and water matrices

AuthorsRouhollah Khani,Farzaneh Chahardehi,Alireza Farrokhi
JournalFood and Chemical Toxicology
Page number1-10
Serial number205
Volume number115715
IF2.321
Paper TypeFull Paper
Published At2025
Journal GradeISI
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexJCR،Scopus

Abstract

Enrofloxacin (ENR), a broad-spectrum fluoroquinolone antibiotic, is widely used in both human and veterinary medicine. However, residual ENR in food and water can pose significant health risks. In this study, a novel bimetallic zeolitic imidazolate framework (ZIF-67@ZIF-8) a type of metal–organic framework (MOF), was synthesized at room temperature, and employed as an effective sorbent in a dispersive micro-solid phase extraction (Dμ-SPE) procedure for the rapid and sensitive detection of ENR. The synthesized metal–organic framework-on-metal–organic framework (MOF-on-MOF) material was characterized using Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), scanning electron microscopy (SEM), and Brunauer–Emmett–Teller (BET) analysis. Key experimental parameters, including pH, sorbent amount, adsorption time, and salt concentration, were optimized using a central composite design (CCD). Under optimal conditions, the method showed a linear dynamic range (LDR) of 5–600 ng mL− 1, a limit of detection (LOD) of 1.43 ng mL− 1, a limit of quantification (LOQ) of 4.71 ng mL− 1, and an intra-day relative standard deviation (RSD) of 3.55 % (n = 3). Satisfactory recoveries ranging from 89.37 % to 101.10 % with RSD values below 6.9 % were achieved for ENR determination in food and water samples.

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