Engineering an Antifouling Electrochemical Sensing Platform Based on an All-in-One Peptide and a Hierarchical β-Bi2O3–Au Microsphere for Vancomycin Detection in Food

微球 生物污染 电化学 环境科学 环境化学 化学工程 化学 工程类 电极 生物化学 物理化学
作者
Yonghui Li,Xujun Pu,Kun Ge,Lunzhao Yi,Dabing Ren,Ying Gu,Shuo Wang
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:71 (49): 19866-19878 被引量:5
标识
DOI:10.1021/acs.jafc.3c07570
摘要

Challenges associated with interference aroused by nonspecific attachment of foulants in the food matrix steered the development of sensor surfaces capable of antifouling capacity. In this study, an antifouling electrochemical sensing platform based on an all-in-one peptide (DOPA3-PPPPEKDQDKKaa) with anchoring, antifouling, and recognition functions and a hierarchical β-Bi2O3–Au microsphere was proposed for vancomycin (Van) detection in food. The β-Bi2O3–Au with excellent conductivity was synthesized and introduced as an electrode modifier to accelerate electron transfer on the sensor surface, enhancing sensing response. Mussel organism-inspired oligo DOPA, that is, oligo 3,4-dihydroxyphenylalanine, was employed as the anchoring segment of the all-in-one peptide, which is versatile for surfaces with different materials. PPPPEKDQDK and Kaa as antifouling and recognition segments confer abilities to resist nonspecific adsorption of foulants and specifically bind Van on the sensor surface, respectively. Notably, the excellent antifouling performance of the proposed sensor has been verified in protein solutions, carbohydrate solutions, and even in diluted milk and honey. Molecular dynamics simulation was carried out to explain the antifouling mechanism of the all-in-one peptide. The proposed sensor can detect Van sensitively and selectively with a relatively wide linear range (0.1–100 ng mL–1) and a limit of detection (LOD) as low as 0.038 ng mL–1 and support the quantification of Van in milk, milk powder, and honey samples with satisfactory recoveries within 105.3–110.8%. This antifouling electrochemical sensing platform offers a feasible strategy to reduce matrix interference, which guarantees the accurate detection of Van in food samples.
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