UiO-66-NH2-Deposited Gold Nanoparticles Enable Enhanced Interference-Resistant Immunochromatographic Assay for Rapid Detection of Gentamicin in Animal-Derived Foods
Gentamicin (GEN) is a broad-spectrum antibiotic widely used in livestock production, and its excessive residues in animal-derived foods pose potential health risks to consumers. However, conventional colloidal gold immunochromatographic assays (AuNPs-ICA) often suffer from low sensitivity and poor tolerance to sample matrices. Herein, a UiO-66-NH<sub>2</sub> framework decorated with gold nanoparticle (UiO-66-NH<sub>2</sub>@Au)-based ICA was employed to construct an ICA platform for GEN detection, combining the optical advantages of AuNPs with the protective and stable octahedral framework of the Metal-organic framework (MOF) to enhance antibody stability under extreme conditions. The method achieved limits of detection for GEN of 0.1 µg/kg in four tested matrices, with recoveries of 80.1-112.0% and coefficients of variation below 11.7%. Compared to traditional AuNPs-ICA, the sensitivity was improved by up to 30-fold, the pH tolerance range was expanded from 6-8 to 4-10, and the organic solvent tolerance to organic solvents expanded up to 40%. Verification with 40 real samples demonstrated excellent correlation (R<sup>2</sup> > 0.99) with results from commercial ELISA kits. This UiO-66-NH<sub>2</sub>@Au-ICA platform offers a new technical solution with high sensitivity, strong good anti-interference performance, and robustness for rapid field detection of GEN residues in products of animal origin and holds significant practical importance for advancing rapid food safety detection technologies.
Authors
- Xing Shen (ORCID: https://orcid.org/0000-0003-3984-4238)
- Hongtao Lei (ORCID: https://orcid.org/0000-0002-1697-1747)
- Yimeng Pang
- Xiaohua Liu (ORCID: https://orcid.org/0000-0001-9555-0555)
- Xiangmei Li (ORCID: https://orcid.org/0000-0002-3871-8566)
- Zehao Yang (ORCID: https://orcid.org/0000-0001-5463-0516)
Institutions
- South China Agricultural University (CN)
Publication Details
- Journal
- Foods
- Published
- 2025-09-20
- DOI
- https://doi.org/10.3390/foods14183264
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China