201. Mesoporous DNA-Co@C nanofibers knitted aptasensors performing onsite determination of trace kanamycin residues.
- Author
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Yuan X, Kong J, Xie Y, Liu X, Zhang W, Liu T, Chu Z, and Jin W
- Subjects
- Humans, Porosity, Milk chemistry, Limit of Detection, Animals, Anti-Bacterial Agents analysis, Anti-Bacterial Agents chemistry, Drinking Water analysis, Drinking Water chemistry, Nanofibers chemistry, Kanamycin analysis, Aptamers, Nucleotide chemistry, DNA chemistry, Biosensing Techniques methods, Cobalt chemistry, Carbon chemistry
- Abstract
The abuse of kanamycin (KAN) poses an increasing threat to human health by contaminating agricultural and animal husbandry products, drinking water, and more. Therefore, the sensitive detection of trace KAN residues in real samples is crucial for monitoring agricultural pollution, ensuring food safety, and diagnosing diseases. However, traditional assay techniques for KAN rely on bulky instruments and complicated operations with unsatisfactory detection limits. Herein, we developed a novel label-free aptasensor to achieve ultrasensitive detection of KAN by constructing mesoporous DNA-cobalt@carbon nanofibers (DNA-Co@C-NFs) as the recognizer. Leveraging the extended π-conjugation structure, prominent surface area, and abundant pores, the Co@C-NFs can effectively load aptamer strands via π-π stacking interactions, serving as KAN capturer and reporter. Due to the change in DNA configuration upon binding KAN, this aptasensor presented an ultralow detection limit and ultra-wide linear range, along with favorable precision and selectivity. Using real tap water, milk, and human serum samples, the aptasensor accurately reported trace KAN levels. As a result, this convenient and rapid autosensing technique holds promise for onsite testing of other antibiotic residues in agriculture, food safety, and clinical diagnosis., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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