化学
电化学发光
多菌灵
生物传感器
氧气
还原(数学)
色谱法
有机化学
生物化学
检出限
杀菌剂
植物
几何学
数学
生物
作者
Jingjing Lv,Li Shan,Jiahui Xu,Jiaxin Liang,Kai Fu,Haihan Yu,Di Wang,Lina Zhang,Li Li,Wenliang Ji,Jinghua Yu
标识
DOI:10.1021/acs.analchem.5c01849
摘要
Herein, we present a highly efficient electrochemiluminescence (ECL) sensor on a paper-based closed bipolar electrode (CBPE) for the sensitive detection of carbendazim (CBZ). This work leverages the tunable dynamics of the cathodic oxygen reduction reaction (ORR) to regulate the emission of anodic luminescence. The innovative design of the CBPE eliminates the need for analytes to directly participate in redox reactions, as required in conventional three-electrode-based ECL systems, while also minimizing interference between the sensing and reporting poles by physically decoupling the two electrodes, greatly improving sensitivity. To further improve the ECL performance, novel ECL-emitting copper nanoclusters (CuNCsAssy), with excellent stability and strong anodic luminescence characteristics, were synthesized and employed as the ECL emitter in the anodic cell, effectively preventing hydrogen evolution associated with the cathodic ECL mode. For target analysis, a Cl-doped metal-free porous electrocatalyst (mf-pClNC), labeled with an aptamer that specifically recognizes CBZ, is introduced into the sensing electrode. Upon target binding, the electrocatalyst mf-pClNC dissociates from the electrode surface, increasing the reaction energy barrier of the ORR and consequently weakening the anodic CuNCsAssy ECL signal, enabling ultrasensitive target quantification. As a proof-of-concept, the proposed CBPE sensor was effectively applied to detect CBZ in crops, achieving a broad linear range of 10-11 to 10-5 g mL-1 and an exceptionally low detection limit of 3.33 pg mL-1. This study establishes a sensitive platform for rapid pesticide residue detection and offers a universal strategy for reaction-regulated CBPE-ECL, with strong potential for detecting a broad range of targets in bioanalysis and clinical diagnostics.
科研通智能强力驱动
Strongly Powered by AbleSci AI