Recent advances in photoelectrochemical sensing of tetracyclines

• Summarizes recent advances in photoelectrochemical (PEC) sensing of tetracyclines (TCs). • Classifies PEC strategies by recognition modes: aptamer, MIP, electrostatic, coordination. • Analyzes signal response mechanisms involving redox, steric hindrance, and charge modulation. • Discusses challenges and proposes future directions for enhanced PEC sensing performance. Tetracyclines (TCs) are widely used antibiotics whose residues pose environmental and health risks, necessitating sensitive and selective detection. Photoelectrochemical (PEC) sensors have emerged as promising analytical tools due to their high sensitivity, low background noise, and cost-effective instrumentation. This review systematically summarizes recent advances in PEC sensing of TCs. We begin by categorizing the photoactive materials employed in PEC sensing and examining their structural design strategies, heterojunction engineering, and photoelectric properties. Subsequently, we elaborate on the fundamental signal transduction mechanisms, including the intrinsic redox activity of TCs, steric hindrance-induced current suppression, and coordination-mediated modulation of interfacial charge transfer. Furthermore, we highlight representative PEC sensing systems reported for TCs detection, classifying them based on recognition strategies such as aptamer binding, molecular imprinting, electrostatic adsorption, and site-specific coordination—each linked to distinct signal generation modes. Finally, current limitations and promising strategies for further performance enhancement of PEC sensors are discussed. This review provides a comprehensive perspective on PEC strategies for TCs detection and offers guidance for future innovations in environmental and food safety monitoring.

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Publication Details

Journal
Talanta Open
Published
2025-08-26
DOI
https://doi.org/10.1016/j.talo.2025.100542
Citations
2
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
1.61
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article

Recent advances in photoelectrochemical sensing of tetracyclines

Yali Cui, Yuanqiang Hao, Lin Wang, Yanyuan Zhang
2 citations
Talanta Open
Advanced biosensing and bioanalysis techniques
1.61
article

Recent advances in photoelectrochemical sensing of tetracyclines

Yali Cui, Yuanqiang Hao, Lin Wang, Yanyuan Zhang
article en
2 citations

Abstract

• Summarizes recent advances in photoelectrochemical (PEC) sensing of tetracyclines (TCs). • Classifies PEC strategies by recognition modes: aptamer, MIP, electrostatic, coordination. • Analyzes signal response mechanisms involving redox, steric hindrance, and charge modulation. • Discusses challenges and proposes future directions for enhanced PEC sensing performance. Tetracyclines (TCs) are widely used antibiotics whose residues pose environmental and health risks, necessitating sensitive and selective detection. Photoelectrochemical (PEC) sensors have emerged as promising analytical tools due to their high sensitivity, low background noise, and cost-effective instrumentation. This review systematically summarizes recent advances in PEC sensing of TCs. We begin by categorizing the photoactive materials employed in PEC sensing and examining their structural design strategies, heterojunction engineering, and photoelectric properties. Subsequently, we elaborate on the fundamental signal transduction mechanisms, including the intrinsic redox activity of TCs, steric hindrance-induced current suppression, and coordination-mediated modulation of interfacial charge transfer. Furthermore, we highlight representative PEC sensing systems reported for TCs detection, classifying them based on recognition strategies such as aptamer binding, molecular imprinting, electrostatic adsorption, and site-specific coordination—each linked to distinct signal generation modes. Finally, current limitations and promising strategies for further performance enhancement of PEC sensors are discussed. This review provides a comprehensive perspective on PEC strategies for TCs detection and offers guidance for future innovations in environmental and food safety monitoring.

Talanta OpenVol. 12
Hunan University of Science and Technology (CN), Hunan Normal University (CN), Zhoukou Normal University (CN)
Openalex Percentile: Top 15%
Advanced biosensing and bioanalysis techniques
1.61
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