Developing a Molecularly Imprinted Electrochemical Sensor for Selective Detection of Roxithromycin from Food Samples via Green Synthesis

dc.contributor.authorBudak, Fatma
dc.contributor.authorCetinkaya, Ahmet
dc.contributor.authorUzunoglu, Aytekin
dc.contributor.authorOzkan, Sibel A.
dc.date.accessioned2026-08-12T17:28:23Z
dc.date.issued2025
dc.departmentFırat Üniversitesi
dc.description.abstractRoxithromycin (ROX), a broad-spectrum macrolide antibiotic, is derived from erythromycin (Markham et al.). ROX is mainly used to treat infections in humans and animals and is easily found and accumulated in the natural environment (Jiang et al. 2021). The sensor for quantitative analysis of ROX was developed via electro-polymerization (EP) on a glassy carbon electrode (GCE) using alginate (ALG), chitosan (CHIT), and titanium IV oxide nanoparticles (TiO2NPs), and it offers a green process. The ROX/TiO2NPs/ALG/CHIT@MIP/GCE sensor has exhibited excellent efficiency and stability for ROX. Differential pulse voltammetry (DPV) was used as the electrochemical analysis method in the developed sensor. Additionally, both surface morphology (scanning electron microscopy (SEM) and X-ray Photoelectron Spectrometry (XPS)) and electrochemical (electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV)) characterizations of the ROX/TiO2NPs/ALG/CHIT@MIP/GCE sensor were performed. Under the optimal conditions, the sensor calibration range was found to be 1 x 10-13 M to 1 x 10-12 M, with a very low limit of detection (LOD). With the designed sensor, ROX analysis of food samples and satisfactory recovery results were obtained, demonstrating the sensor's accuracy. Moreover, the effects of different interfering agents in milk and fruit juice samples on the ROX peak current were investigated to evaluate the selectivity of the designed sensor. The designed sensor demonstrated highly sensitive, reliable, repeatable, stable, and, most importantly, selective properties for ROX. Finally, four different green metric calculation methods were used to determine the study's green profile score.
dc.description.sponsorshipCouncil of Higher Education (YOK) under the special 100/2000 scholarship program; Scientific and Technological Research Council of Turkiye (TUBITAK) under the BIDEB/2218-National Postdoctoral Research Scholarship Program
dc.description.sponsorshipThis work was produced as part of Fatma Budak's Ph.D. thesis. Fatma Budak, thanks for the financial support from the Council of Higher Education (YOK) under the special 100/2000 scholarship program. Ahmet Cetinkaya thanks the financial support from the Scientific and Technological Research Council of Turkiye (TUBITAK) under the BIDEB/2218-National Postdoctoral Research Scholarship Program.
dc.identifier.doi10.1007/s12161-025-02967-9
dc.identifier.issn1936-9751
dc.identifier.issn1936-976X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-105025409754
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s12161-025-02967-9
dc.identifier.urihttps://hdl.handle.net/11508/55257
dc.identifier.volume19
dc.identifier.wosWOS:001642744900001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofFood Analytical Methods
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectRoxithromycin
dc.subjectElectrochemical sensor
dc.subjectFood samples
dc.subjectMolecularly imprinted polymer
dc.titleDeveloping a Molecularly Imprinted Electrochemical Sensor for Selective Detection of Roxithromycin from Food Samples via Green Synthesis
dc.typeArticle

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