Organic Materials and Devices for Biosensing and Neuromorphic Computing

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor Materials".

Deadline for manuscript submissions: closed (31 January 2026) | Viewed by 2211

Special Issue Editor


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Guest Editor
Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
Interests: biomaterials; biosensors; organic field-effect transistors; organic electrochemical transistors; neuromorphic computing; wearable electronics

Special Issue Information

Dear Colleagues,

In recent years, organic materials and devices have played an increasingly important role in biosensing applications. These materials offer advantages such as flexibility, biocompatibility, and tunable electronic properties, making them ideal for developing next-generation biosensors. Organic-based biosensors have been widely explored for detecting biomolecules, monitoring physiological signals, and diagnosing diseases with high sensitivity and specificity. Integrating organic electronic materials into biosensors has enabled advances in wearable, implantable, and point-of-care diagnostic systems.

A key aspect of organic biosensing technologies is their ability to interface with biological systems in a soft and flexible manner. Organic field-effect transistors (OFETs), organic electrochemical transistors (OECTs), and organic photodetectors have demonstrated promising results in detecting biomarkers, neurotransmitters, and physiological changes. Additionally, emerging organic bioelectronic platforms have paved the way for real-time and non-invasive health monitoring. These innovations have the potential to improve early disease detection and personalized medicine.

Beyond traditional biosensing applications, organic materials and devices also contribute to neuromorphic computing, an area inspired by the brain's information-processing mechanisms. Organic neuromorphic devices can mimic synaptic functions and process biological signals in a way that closely resembles neural networks. This intersection between biosensing and neuromorphic computing is particularly exciting for applications such as brain–machine interfaces and intelligent diagnostics.

For this Special Issue, we welcome original research articles and reviews on the latest advancements in organic materials and devices for biosensing. Topics of interest include, but are not limited to, the following:

  • The development of high-sensitivity and selective organic biosensors for medical diagnostics and health monitoring.
  • Innovations in organic electrochemical and field-effect transistors for biomolecular detection.
  • Flexible and wearable organic biosensing devices for real-time physiological monitoring.
  • Theoretical and experimental studies on organic bioelectronic interfaces.
  • The role of organic materials in neuromorphic-inspired biosensing and intelligent diagnostic platforms.

We invite contributions that explore novel materials, fabrication techniques, and application-driven studies that push the boundaries of organic biosensing technology. Both experimental and theoretical studies are encouraged to provide a comprehensive understanding of the field and its future prospects.

Dr. Tianda Fu
Guest Editor

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Keywords

  • organic biosensors
  • neuromorphic computing
  • organic electronics
  • flexible sensors
  • bioelectronic interfaces
  • electrochemical transistors (OECTs)
  • organic field-effect transistors (OFETs)
  • biomolecular sensing

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Published Papers (1 paper)

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Review

26 pages, 1908 KB  
Review
Recent Advances in Graphene-Based Field-Effect Transistor Biosensors for Disease Biomarker Detection and Clinical Prospects
by Deeksha Nagpal, Anup Singh, John Link, Abijeet Singh Mehta, Ashok Kumar and Vinay Budhraja
Biosensors 2026, 16(4), 190; https://doi.org/10.3390/bios16040190 - 26 Mar 2026
Cited by 1 | Viewed by 1613
Abstract
Field-effect transistor (FET) biosensors using graphene have become one of the most promising biosensing platforms for the early diagnosis of diseases with features such as high sensitivity, label-free detection and application compatibility with point-of-care systems. Herein, we critically discuss recent advances in graphene [...] Read more.
Field-effect transistor (FET) biosensors using graphene have become one of the most promising biosensing platforms for the early diagnosis of diseases with features such as high sensitivity, label-free detection and application compatibility with point-of-care systems. Herein, we critically discuss recent advances in graphene FET (GFET) biosensor development toward clinically relevant biomarkers associated with representative diseases including cancer, neurodegenerative disease, infectious disease, and inflammatory conditions. Recent progress was reviewed to evaluate GFET architectures, surface functionalization methods, and detection quality. The biomarkers explored were clusterin in Alzheimer’s disease, thrombin in coagulopathy, estrogen receptor α (ER-α) in breast cancer, Carcinoembryonic antigen in lung cancer, microRNAs for malignant tumors, exosomes derived from HepG2 for the hepatocellular carcinoma (HCC) cell line, interleukin-6 (IL-6) for chronic obstructive pulmonary disease (COPD), Polyclonal antibodies and antigens (P24) for HIV and prostate-specific antigen for prostate cancer. The developed devices demonstrate ultralow detection limits at femtomolar to attomolar concentrations with the aid of designed antibodies, aptamers and nanomaterials. Herein, this review presents the sensing mechanisms and biomedical application of various GFET platforms, focusing on their emerging potential as next-generation platforms for rapid, non-invasive and point-of-care diagnostics. Full article
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