Advanced Optical Biosensors in Disease Diagnosis and Health Monitoring

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".

Deadline for manuscript submissions: 31 March 2027 | Viewed by 1988

Editor


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Guest Editor
Laboratory for Biomedical Photonics, Institute of Laser Engineering, School of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing 100124, China
Interests: nanomaterial based optical strategies for cancer theranostics; micro-structured optical fiber sensors; optical micro-cavity based lasers for intracellular sensing

Special Issue Information

Dear Colleagues,

Optical biosensors have become an indispensable tool in modern biomedical diagnostics and health monitoring, offering superior sensitivity, rapid response, real-time analysis, and the ability to perform label-free detection. By converting biomolecular interactions into measurable optical signals, such as changes in fluorescence, surface plasmon resonance, photonic crystal resonance, or interferometric patterns, these sensors enable precise and non-invasive detection of a wide range of analytes.

Recent advances in nanophotonics, metamaterials, and hybrid sensing platforms have significantly enhanced the performance and versatility of optical biosensors. Innovations in device miniaturization, wearable integration, and smart data interpretation further support their application in point-of-care diagnostics, continuous health monitoring, and personalized medicine.

This Special Issue, titled “Advanced Optical Biosensors in Disease Diagnosis and Health Monitoring,” aims to gather cutting-edge research on the development, optimization, and real-world implementation of optical biosensing technologies. We welcome original research articles and reviews that explore novel sensing mechanisms, material innovations, system integration, clinical validation, and translational challenges.

Topics of interest include, but are not limited to, the following:

  • Novel optical sensing mechanisms and transduction platforms.
  • Nanomaterial-enhanced optical biosensors (e.g., plasmonic, photonic crystal, and fiber-optic).
  • Wearable and implantable optical biosensors for continuous health monitoring.
  • Integrated microsystems and lab-on-a-chip optical sensing devices.
  • Smart optical biosensors with AI-driven signal processing and diagnostics.
  • Clinical applications in early disease detection, biomarker tracking, and therapeutic monitoring.
  • Optical biosensors for infectious disease diagnosis and outbreak surveillance.
  • Point-of-care and home-use optical biosensing devices.
  • Multiplexed optical biosensing for multi-analyte detection.
  • Biocompatibility, stability, and reproducibility in optical biosensor design.

Dr. Xiuhong Wang
Guest Editor

Manuscript Submission Information

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Keywords

  • optical biosensors
  • disease diagnosis
  • health monitoring
  • point-of-care testing
  • biomarker detection
  • wearable sensors
  • nanophotonics in biosensing
  • clinical diagnostics
  • real-time monitoring
  • personalized healthcare

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Published Papers (1 paper)

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Review

27 pages, 2372 KB  
Review
Intelligent Biosensors for Diabetic Wound Monitoring
by Shuqin Li and Xiu-Hong Wang
Biosensors 2026, 16(6), 307; https://doi.org/10.3390/bios16060307 - 26 May 2026
Cited by 1 | Viewed by 960
Abstract
Diabetic chronic wounds, characterized by persistent inflammation and a complex microenvironment, pose a major challenge to global healthcare. Traditional dressings act merely as passive physical barriers, lacking the ability to sense biochemical fluctuations or respond to dynamic pathological changes. Therefore, developing smart platforms [...] Read more.
Diabetic chronic wounds, characterized by persistent inflammation and a complex microenvironment, pose a major challenge to global healthcare. Traditional dressings act merely as passive physical barriers, lacking the ability to sense biochemical fluctuations or respond to dynamic pathological changes. Therefore, developing smart platforms for in situ, continuous, and non-invasive monitoring is crucial for early warning and precision intervention. This review systematically explores recent advances in high-fidelity wound monitoring, focusing on the deep integration of “front-end interface engineering” and “back-end data analysis”. We first analyze the specific physicochemical and biochemical abnormalities of the diabetic wound microenvironment. Next, we discuss how advanced material designs, such as active fluid management, anti-biofouling zwitterionic networks, and nanozyme-based reactive oxygen species (ROS) scavenging, ensure the long-term stability of sensing interfaces against complex microenvironmental interference. Building on this hardware foundation, we summarize in situ sensing strategies and multiparameter decoupling techniques tailored for key biomarkers, including pH, temperature, glucose, ROS, and MMP-9. Furthermore, we highlight cutting-edge developments in signal digitization, emphasizing the pivotal role of portable devices and machine learning algorithms in extracting high-dimensional features and translating complex multimodal signals into objective clinical metrics. By outlining this comprehensive technological closed-loop, this review aims to provide a systematic theoretical framework for the development and clinical translation of next-generation smart wound monitoring platforms. Full article
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