Advances, Challenges and Opportunities in the Use of 2D Materials for Biosensing and Biomedical Applications

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

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1329

Special Issue Editors


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Guest Editor
Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China
Interests: graphene; carbons; carbon nanotubes; biosensors; composites; thermal management; thermal interface materials
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Guest Editor
Ningbo Institute of Material Technology & Engineering, Chinese Academy of Sciences, Ningbo 315201, China
Interests: graphene; carbons; carbon nanotubes; biosensors

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Guest Editor
Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
Interests: low-dimensional materials; optical spectroscopy; biosensors; machine learning
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Guest Editor
George R. Brown School of Engineering, Rice University, Houston, TX, USA
Interests: biosensing applications; plasmonic nanomaterials; 2-D materials

Special Issue Information

Dear Colleagues,

Biosensing platforms that draw inspiration from the molecular identification function of living organisms have witnessed significant advances in sensing capability. Recent innovative developments in diagnostic devices have allowed for enhanced analytical performance, miniaturized sensors, multiplex analysis, and readout signal enhancement. Of particular interest are biosensors based on two-dimensional (2D) materials, which are characterized by their thin-layered structure and unique properties, making them highly useful in biosensing applications. Since the isolation of graphene in 2004, there has been an exponentially growing number of reports exploring the use of 2D materials in biosensing and other emerging healthcare applications.

For this Special Issue, we welcome the submission of original research papers and review articles that harness the inherent properties of 2D materials for biosensing applications. This Special Issue aims to explore the challenges and opportunities of the use of 2D materials in biosensing platforms. Topics of interest include, but are not limited to, the following aspects:

  1. The design, fabrication, and characterization of 2D materials for biosensing;
  2. Applications of 2D-material-based biosensors in areas such as point-of-care diagnostics, disease monitoring, and drug delivery.

Prof. Dr. Cheng-Te Lin
Dr. Chen Ye
Dr. Kunyan Zhang
Dr. Jeewan Ranasinghe
Guest Editors

Manuscript Submission Information

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Keywords

  • 2D materials
  • surface functionalization
  • point-of-care diagnosis
  • biocompatibility
  • molecular recognition
  • limit of detection
  • sensitivity
  • biomarkers

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Published Papers (1 paper)

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11 pages, 1624 KiB  
Article
Enhanced Electrochemical Sensing of Oxalic Acid Based on VS2 Nanoflower-Decorated Glassy Carbon Electrode Prepared by Hydrothermal Method
by Mengfan Wu, Zhuang Sun, Peizheng Shi, Ningbin Zhao, Kaiqiang Sun, Chen Ye, He Li, Nan Jiang, Li Fu, Yunlong Zhou and Cheng-Te Lin
Biosensors 2024, 14(8), 387; https://doi.org/10.3390/bios14080387 - 9 Aug 2024
Viewed by 906
Abstract
Oxalic acid (OA) is a predominant constituent in kidney stones, contributing to 70–80% of all cases. Rapid detection of OA is vital for the early diagnosis and treatment of kidney stone conditions. This work introduces a novel electrochemical sensing approach for OA, leveraging [...] Read more.
Oxalic acid (OA) is a predominant constituent in kidney stones, contributing to 70–80% of all cases. Rapid detection of OA is vital for the early diagnosis and treatment of kidney stone conditions. This work introduces a novel electrochemical sensing approach for OA, leveraging vanadium disulfide (VS2) nanoflowers synthesized via hydrothermal synthesis. These VS2 nanoflowers, known for their excellent electrocatalytic properties and large surface area, are used to modify glassy carbon electrodes for enhanced OA sensing. The proposed OA sensor exhibits high sensitivity and selectivity across a wide linear detection range of 0.2–20 μM, with an impressively low detection limit of 0.188 μM. The practicality of this sensor was validated through interference studies, offering a promising tool for the early diagnosis and monitoring of kidney stone diseases. Full article
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