A self‐powered photoelectrochemical aptasensor using 3D‐carbon nitride and carbon‐based metal‐organic frameworks for high‐sensitivity detection of tetracycline in milk and water
Antibiotic residues have become a significant challenge in food safety, threatening both ecosystem integrity and human health. To combat this problem, we developed an innovative photo-powered, self-powered aptasensor that employs a novel carbon-doped three-dimensional graphitic carbon nitride (3D-CN) combined with a metal-organic framework composed of N-doped copper(I) oxide-carbon (Cu<sub>2</sub>O@C) skeletons. The 3D-CN serves as the photoanode, offering stable photocurrent production due to its three-dimensional open framework structure. The N-doped Cu<sub>2</sub>O@C acts as the photocathode, providing oxidation protection for the metal core and enhancing light absorption due to its metal-organic framework structure. A key feature of our work is exploiting the Fermi level difference between the n-type photoanode and p-type photocathode, which facilitates faster migration of photogenerated electrons toward the photocathode, thereby enhancing the sensor's self-powered effect. Experimental results reveal that upon aptamer loading, the sensor can linearly detect tetracycline (TC) within a range of 0.5 pmol/L to 300 nmol/L, with a detection limit as low as 0.13 pmol/L. It also demonstrates excellent selectivity, stability, and reproducibility, making it applicable to real samples such as milk and river water. Consequently, our research provides a highly efficient and sensitive method for monitoring TC in food, with significant practical implications and profound impacts on food safety.
Authors
- Wenming Yang (ORCID: https://orcid.org/0000-0002-2506-1286)
- Y. Y. Ji (ORCID: https://orcid.org/0000-0003-1169-5250)
- Wanzhen Xu (ORCID: https://orcid.org/0000-0002-8782-9449)
- Wei Jia (ORCID: https://orcid.org/0000-0002-3739-8994)
- Weihong Huang (ORCID: https://orcid.org/0000-0001-6687-7161)
- Ying Dai (ORCID: https://orcid.org/0000-0001-6378-0567)
- Yongqiang Huang
- Wangui Peng
- Junhao Che
Institutions
- Jiangsu University (CN)
- Changzhou Institute of Technology (CN)
Publication Details
- Journal
- Journal of Food Science
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1111/1750-3841.17398
- Citations
- 106
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 24.78
Funders
- National Natural Science Foundation of China