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Published on: February 23, 2024
Signal-enhanced electrochemiluminescence strategy using iron-based metal-organic frameworks modified with
Chenchen Li1, Yunxiao Li2, Yong Zhang2
1Provincial Key Laboratory of Rural Energy Engineering in Yunnan, Yunnan Normal University, Kunming, 650500, People's Republic of China; Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, People's Republic of China.
Abstract:
The preparation of highly efficient electrochemiluminescence (ECL) illuminants is an effective method to improve the sensitivity and repeatability of ECL immunoassay. In this study, we prepared an ECL immunoassay for efficient and sensitive detection of neuron-specific enolase (NSE) by linking carboxylated Ru(bpy)32+ to an iron-based metal-organic framework (NH2-MIL-88 (Fe)) via an amide bond as an ECL signal probe. NH2-MIL-88 (Fe) possesses a large number of amino groups that can catalyze the co-reactant S2O82-, which generates abundant reaction intermediates SO4•- around Ru(dcbpy)32+, reduces the loss of material transport and energy transfer between SO4•- and Ru(dcbpy)32+, and significantly enhances the ECL signal. We used polyaniline-intercalating vanadium oxide (PVO) nanosheets as the substrates to capture NSE owing to the large specific surface area and extraordinary conductivity of the nanosheets. Similarly, PVO nanosheets also possess abundant amino groups, which can act as co-reaction promoters to catalyze the reaction of S2O82- to SO4•-, enhancing the ECL signal of the immunoassay. Therefore, we constructed a dual-enhanced ECL immunoassay with Ru(dcbpy)32+/NH2-MIL-88 (Fe) and PVO as the signal probe and substrate, respectively, which exhibited excellent sensitivity and selectivity for detecting NSE. This study offers an effective strategy for ultrasensitive detection of trace proteins using ECL immunoassays.

