Harnessing Thermoelectric-Mediated Photoelectrochemical System to Address Sensitive Dopamine Detection via APE1-Amplified Triple-Helix Switching

Realizing sensitive biomolecular-to-electrical signal transduction necessitated addressing the insufficient photon utilization and low photo-to-electric conversion efficiency of current photoelectrochemical (PEC) sensors. Herein, we presented a facile sensing concept by harnessing thermoelectric-mediated PEC system to achieve sensitive detection of dopamine (DA) through APE1-amplified triple-helix switching. In this integrated design, an internal electric field arising from the BiOI/CdIn 2 S 4 p – n heterojunction was established for interfacial charge separation. Concurrently, leveraging the intrinsic thermoelectric properties of Ag 2 S, a thermoelectric field was generated under the photo-induced temperature gradient, which offered an additional driving force for charge separation. The dual-electric-field driving forces, assisted by APE1-participated signal amplification, significantly enhanced the sensitivity of the PEC sensing platform. This enabled precise, concentration-dependent signal transduction by converting molecular interactions into electrical outputs, achieving a low detection limit of 0.04 nM (3σ/N), excellent linearity, and outstanding specificity. This work displayed a thermoelectric-mediated PEC strategy that bridged energy conversion and molecular bioanalysis, opening a promising avenue toward intelligent, energy-efficient platforms for next-generation neurochemical diagnostics.

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Publication Details

Journal
ACS Sensors
Published
2026-06-29
DOI
https://doi.org/10.1021/acssensors.6c00490
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.00

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article

Harnessing Thermoelectric-Mediated Photoelectrochemical System to Address Sensitive Dopamine Detection via APE1-Amplified Triple-Helix Switching

Shenguang Ge, Kang Cui, Mengqi Chen, Jinghua Yu et al.
ACS Sensors
Electrochemical sensors and biosensors
article

Harnessing Thermoelectric-Mediated Photoelectrochemical System to Address Sensitive Dopamine Detection via APE1-Amplified Triple-Helix Switching

Shenguang Ge, Kang Cui, Mengqi Chen, Jinghua Yu, Lina Zhang, Yan Zhang, Hongmei Yang, Lin Li
article en

Abstract

Realizing sensitive biomolecular-to-electrical signal transduction necessitated addressing the insufficient photon utilization and low photo-to-electric conversion efficiency of current photoelectrochemical (PEC) sensors. Herein, we presented a facile sensing concept by harnessing thermoelectric-mediated PEC system to achieve sensitive detection of dopamine (DA) through APE1-amplified triple-helix switching. In this integrated design, an internal electric field arising from the BiOI/CdIn 2 S 4 p – n heterojunction was established for interfacial charge separation. Concurrently, leveraging the intrinsic thermoelectric properties of Ag 2 S, a thermoelectric field was generated under the photo-induced temperature gradient, which offered an additional driving force for charge separation. The dual-electric-field driving forces, assisted by APE1-participated signal amplification, significantly enhanced the sensitivity of the PEC sensing platform. This enabled precise, concentration-dependent signal transduction by converting molecular interactions into electrical outputs, achieving a low detection limit of 0.04 nM (3σ/N), excellent linearity, and outstanding specificity. This work displayed a thermoelectric-mediated PEC strategy that bridged energy conversion and molecular bioanalysis, opening a promising avenue toward intelligent, energy-efficient platforms for next-generation neurochemical diagnostics.

ACS Sensors
University of Jinan (CN), State Key Laboratory of Building Safety and Built Environment (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Project of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 12%
Electrochemical sensors and biosensors
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