Photoelectrochemical immunosensor for the sensitive detection of neuron-specific enolase based on the effect of Z-scheme WO/NiCoO nanoarrays p-n heterojunction.

Biosens Bioelectron

Provincial Key Laboratory of Rural Energy Engineering in Yunnan, School of Energy and Environment Science, Yunnan Normal University, Kunming, 650500, China. Electronic address:

Published: October 2022

In this study, a signal-on type PEC immunosensor was constructed to detect neuron-specific enolase (NSE) via Z-scheme WO/NiCoO p-n heterojunction with cactus-like structure used as photoactive materials and MnCdS⊃Au NPs (MCS⊃Au NPs) as signal labels. Firstly, Z-scheme WO/NiCoO heterojunction could accelerate the separation efficiency of carriers and well-matched photoactive materials may promote charge migration, which resulted in WO/NiCoO generating strong and stable current. In addition, Z-scheme WO/NiCoO heterojunction directly grown on the surface of FTO via hydrothermal method facilitated the preparation of PEC immunosensor with outstanding stability. Secondly, an efficient signal amplification strategy was proposed by MnCdS⊃Au NPs incubating with signal antibody (Ab). On the one hand, the well-matched energy levels of MnCdS with WO/NiCoO boosted the photo-generated electrons transferred to the electrode; on the other hand, the LSPR effect of Au may convert thermion to photocurrent to achieve signal amplification. Based on the above strategies, a PEC immunosensor with outstanding reproducibility and stability was obtained for sensitive detection of NSE. Under the optimum experimental conditions, current response range of the constructed signal amplification PEC sensor to NSE was 0.1 pg/mL ∼50 ng/mL and the detection limit was 0.07 pg/mL (S/N = 3). After the application tests in the detection of actual samples, the feasibility of the prepared PEC immunosensor with excellent selectivity, high sensitivity and satisfactory reproducibility was verified and the satisfactory results were obtained.

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http://dx.doi.org/10.1016/j.bios.2022.114452DOI Listing

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