Dual MOFs synergistically modulate electrode interface electron transfer to enhance electrochemiluminescence for
Shuaichao Qiao1, Na Song1, Xue Dong2
1Key Laboratory of Chemical Sensing & Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China.
Abstract:
Accurate detection of Fumonisin B1 (FB1) is of great significance for food safety and disease prevention and control. In this work, the construction of dual metal-organic frameworks (MOFs) synergistically modulated electron transfer at the electrode interface, thereby enhancing ECL emission. This approach enabled ultrasensitive detection of fumonisin B1 (FB1). The sensor innovatively introduced two functionalized MOF materials to construct an electrochemiluminescence (ECL) aptasensor. ZnCo-MOF@SnS2 (ZCM@SnS2) was used as a co-reactant accelerator, whose unique bimetallic synergistic effect and three-dimensional porous structure effectively inhibited the aggregation of SnS2 nanosheets. This structure significantly enhanced the catalytic activity and electron transfer efficiency of the electrode interface. Zr-TCBPE-MOF@Au (ZTM@Au) was used as an ECL probe, which significant enhancement of ECL signaling was achieved by rigid immobilization of TPE-based H4TCBPE (1,1,2,2-tetra(4-carboxylbiphenyl)ethylene) by Zr-MOF framework. The ECL performance was further enhanced through systematically optimizing the electrode interface modification process. The experimental results showed that ZCM@SnS2-COOH efficiently catalyzed the co-reactant TPrA to generate a large number of TPrA•+ radicals. ZTM@Au significantly enhanced the luminescence efficiency by shortening the electron transfer pathway. And the synergistic effect of the two resulted in an approximately 2.5-fold enhancement of the ECL signal intensity compared with the single-component modified system. The sensor exhibited excellent selectivity, reproducibility and stability, which provides a new idea for the development of high-performance food safety detection technology based on interface engineering.
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