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February 2, 2026ACS Sensors0 citations

Light-Addressable Photoelectrochemical Sensors for High-Throughput and Multiplex Detection: Principles, Applications, and Future Perspectives

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YYYi YangFGFuguo GeXYX. Steve Yao

Key Points

  • This review aims to summarize the principles and applications of light-addressable photoelectrochemical sensors (LAPECS).
  • Overview of fundamental principles of LAPECS
  • Summary of operational modes: multi-electrode parallel, single-electrode multi-channel, microarray chip
  • Discussion on emerging solutions like advanced interfaces and miniaturization
  • LAPECS show potential for high-throughput and multiplexed detection
  • Challenges include specificity, signal interference, and integration complexity
  • Future prospects include machine learning for data processing

Abstract

Light-addressable photoelectrochemical sensors (LAPECS) have gained increasing attention as a promising platform for multiplexed detection owing to their integration of photo-addressing and photoelectrochemical techniques. By using programmable illumination to confine photoinduced electron transfer to specific electrode regions, this straightforward strategy enables high-throughput and multiplexed detection and has shown promise in biomedical diagnostics, environmental monitoring, and food safety analysis. In this review, we provide a comprehensive overview of the fundamental principles and the structural and functional components of LAPECS. This review also summarizes three representative operational modes: multi-electrode parallel, single-electrode multi-channel partitioning, and microarray chip-based modes. We further discuss emerging solutions, including advanced recognition interfaces, miniaturized designs, and machine learning-assisted data processing, to address current challenges in LAPECS, such as limited specificity, signal interference, and integration complexity. Finally, the current research challenges and future prospects of LAPECS are discussed.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6980ff49c1c9540dea81234dhttps://doi.org/10.1021/acssensors.5c03353
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