abstract
In this paper, an enhanced optical fiber biosensor based on nanomaterials is proposed for the detection of enrofloxacin residues in food. Single mode fiber (SMF), multimode fiber (MMF), and four-core fiber (FCF) were fused to fabricate an SMF-MMF-FCF-MMF-SMF fiber structure. Then, a three times tapered (T3) optical fiber structure was fabricated on FCF. The WaveFlex fiber structure T3-SMF-MMF-FCF-MMF-SMF was fabricated. The optical fiber surface was modified with gold nanoparticles, zinc oxide nanowires (ZnO-NWs), and Fe3O4 and Au nanocomposites to stimulate and enhance the localized surface plasmon resonance (LSPR) effect. The enrofloxacin monoclonal antibody was fixed on the surface of the probe in order to achieve specific differentiation detection. The performance of the sensor was verified by testing 0-1000 mu g/mL enrofloxacin solutions. The sensitivity of the proposed sensor is 1.89 nm/ln (mu g/mL), with a detection limit (LoD) of 0.16 mu g/mL. In addition, the method has good reproducibility, reusability, repeatability, stability, and selectivity. It has also obtained promising results in real environment (milk, juice, pork, and chicken) tests and can be used for the detection of enrofloxacin in food.
keywords
PLASMON RESONANCE SPECTROSCOPY; IMMUNOCHROMATOGRAPHIC ASSAYS; SURFACE; MILK
subject category
Science & Technology - Other Topics; Materials Science
authors
Liu, F; Singh, R; Marques, C; Zhang, BY; Kumar, S
our authors
Carlos Marques
Assistant ProfessorProjects
Associated Laboratory CICECO-Aveiro Institute of Materials (LA/P/0006/2020)
acknowledgements
This work was supported by the Double-Hundred Talent Plan of Shandong Province, China; Special Construction Project Fund for Shandong Province Taishan Mountain Scholars; Liaocheng University(318052341);Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China(2022KJ107);and Koneru Lakshmaiah Education Foundation. This work was also developed with in the scope of the projects CICECO (LA/P/0006/2020, UIDB/50011/2020, and UIDP/50011/2020) and DigiAqua(PTDC/EEI-EEE/0415/2021),financed by national funds through the Portuguese Science and Technology Foundation/MCTES (FCTI.P.).The research was cofunded by the financial support of the European Union under the REFRESH- Research Excellence for REgion Sustainability and High-techIndustries Project CZ.10.03.01/00/22_003/0000048 via the Operational Programme Just Transition.This work was also supported by the Ministry of Education,Youth,and Sports of the Czech Republic conducted by the VSB-Technical University of Ostrava under Grants SP2024/081 and SP2024/05