PEC-DFM Hybrid-Sensor Based on Nanoparticle-Resolved Estimation for Sensitive and Reversible Glucose Monitoring.

Zihao Zhang, Junzheng Liu, Qinggong Wu, Yuan Zeng, Gang Xiao, Zhao Yue, Zhigang Zang, Shuang Zhao

Abstract read

In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Zihao ZhangKey Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, P. R. China.

Junzheng LiuKey Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, P. R. China.

Qinggong WuKey Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, P. R. China.

Yuan ZengCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, P. R. China.

Gang XiaoDepartment of Microelectronics, Nankai University, Tianjin, P. R. China.

Zhao YueDepartment of Microelectronics, Nankai University, Tianjin, P. R. China.

Zhigang ZangKey Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, P. R. China.ORCID https://orcid.org/0000-0003-1632-503X

Shuang ZhaoKey Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao, P. R. China.

Funding

Central Guidance on Local Science and Technology Development Fund of Hebei Province 236Z1705GResearch Project of Hebei Higher Education Institutions JCZX2025006Research Project of Hebei Human Resources and Social Security Department C20220331Science Research Project of Hebei Education Department BJ2025057

6 · The paper itself

Abstract

The accurate detection of glucose in wound exudate is critically important for monitoring chronic wound healing. While photoelectrochemical (PEC) sensors are widely used, they often suffer from material degradation caused by redox reactions during operation. Herein, we introduce a dark-field microscopy (DFM) setup integrated with a PEC system, creating a PEC-DFM hybrid-sensing platform. This system allows for conjoint measurement of photocurrent and monitoring of nanoparticle behavior via scattering spectroscopy. We further introduce Ag NP@Au NCs nanocomposites to drastically improve sensor performance, achieving a 193-fold increase in signal-to-noise ratio. The PEC-DFM hybrid-sensing system guides the optimization of the nanocomposite's structure, enabling exclusion of damaged nanoparticles during measurement. Moreover, through continuous, long-term (up to 1800 s) observation of scattering spectrum parameters, we decipher the photocurrent generation mechanism, confirming electron transfer from Au NCs to Ag NP inside single Ag NP@Au NCs nanocomposite. Finally, a non-invasive sensing mechanism based on molecular-level competition for glucose is developed, enabling reversible (20 rounds) and ultrasensitive detection of glucose with a detection limit of 0.49 pM. This work not only provides a powerful tool for wound management but also offers profound insights into the design of advanced hybrid sensing systems.

Indexed as

Biosensing TechniquesElectrochemical TechniquesGlucoseMetal NanoparticlesMicroscopyNanoparticlesGoldHumansNanocompositesSilverGlucoseGoldSilverPEC‐DFM hybrid‐sensing systemphotoelectrochemical sensorreversible sensing mechanismultrasensitive and reversible glucose detection

Identifiers

PMID41874476

DOI10.1002/advs.202523818

PMCPMC13587973

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.