A Target-Driven Self-Feedback Paper-Based Photoelectrochemical Sensing Platform for Ultrasensitive Detection of Ochratoxin A with an In 2 S 3 /WO 3 Heterojunction Structure

化学 生物传感器 光电流 纳米技术 氧化还原 抗坏血酸 组合化学 光电子学 材料科学 无机化学 生物化学 食品科学
作者
Xiaoran Tan,Haihan Yu,Bing Liang,Mengting Han,Shenguang Ge,Lina Zhang,Lin Li,Lin Li,Li Li,Li Li,Jinghua Yu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (3): 1705-1712 被引量:79
标识
DOI:10.1021/acs.analchem.1c04259
摘要

Currently, developing versatile, easy-to-operate, and effective signal amplification strategies hold great promise in photoelectrochemical (PEC) biosensing. Herein, an ultrasensitive polyvinylpyrrolidone-treated In 2 S 3 /WO 3 (In 2 S 3 -P/WO 3 )-functionalized paper-based PEC sensor was established for sensing ochratoxin A (OTA) based on a target-driven self-feedback (TDSF) mechanism enabled by a dual cycling tactic of PEC chemical–chemical (PECCC) redox and exonuclease III (Exo III)-assisted complementary DNA. The In 2 S 3 -P/WO 3 heterojunction structure with 3D open-structure and regulable topology was initially in situ grown on Au nanoparticle-functionalized cellulose paper, which was served as a universal signal transducer to directly record photocurrent signals without complicated electrode modification, endowing the paper chip with admirable anti-interference ability and unexceptionable photoelectric conversion efficiency. With the assistance of Exo III-assisted cycling process, a trace amount of OTA could trigger substantial signal reporter ascorbic acid (AA) generated by the enzymatic catalysis of alkaline phosphatase, which could effectively provoke the PECCC redox cycling among the tris(2-carboxyethyl)phosphine acid, AA, and ferrocenecarboxylic at the In 2 S 3 -P/WO 3 photoelectrode, initiating TDSF signal amplification. Based on the TDSF process induced by the Exo III-assisted recycling and PECCC redox cycling strategy, the developed paper-based PEC biosensor realized ultrasensitive determination of OTA with persuasive selectivity, high stability, and excellent reproducibility. It is believed that the proposed paper-based PEC sensing platform exhibited enormous potential for the detection of other targets in bioanalysis and clinical diagnosis.
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