Recent Advances in Two-Dimensional MXene-Based Electrochemical Biosensors for Sweat Analysis

Molecules. 2023 Jun 7;28(12):4617. doi: 10.3390/molecules28124617.

Abstract

Sweat, a biofluid secreted naturally from the eccrine glands of the human body, is rich in several electrolytes, metabolites, biomolecules, and even xenobiotics that enter the body through other means. Recent studies indicate a high correlation between the analytes' concentrations in the sweat and the blood, opening up sweat as a medium for disease diagnosis and other general health monitoring applications. However, low concentration of analytes in sweat is a significant limitation, requiring high-performing sensors for this application. Electrochemical sensors, due to their high sensitivity, low cost, and miniaturization, play a crucial role in realizing the potential of sweat as a key sensing medium. MXenes, recently developed anisotropic two-dimensional atomic-layered nanomaterials composed of early transition metal carbides or nitrides, are currently being explored as a material of choice for electrochemical sensors. Their large surface area, tunable electrical properties, excellent mechanical strength, good dispersibility, and biocompatibility make them attractive for bio-electrochemical sensing platforms. This review presents the recent progress made in MXene-based bio-electrochemical sensors such as wearable, implantable, and microfluidic sensors and their applications in disease diagnosis and developing point-of-care sensing platforms. Finally, the paper discusses the challenges and limitations of MXenes as a material of choice in bio-electrochemical sensors and future perspectives on this exciting material for sweat-sensing applications.

Keywords: diagnostic; glucose monitoring; point-of-care; wearable sensor.

Publication types

  • Review

MeSH terms

  • Biosensing Techniques* / methods
  • Humans
  • Nanostructures*
  • Sweat / chemistry
  • Wearable Electronic Devices*

Substances

  • MXene

Grants and funding

The author (T.K) gratefully acknowledge the financial support of this project by the Ministry of Science and Technology, Taiwan (MOST 111-2221-E-027-085). A.P. would like to acknowledge the financial support from the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India for its start-up research grant (File No. SRG/2020/001115) scheme and expresses his appreciation to “VIT SEED GRANT”. K.R. thank DST-INSPIRE JRF and SRF (Inspire Fellow No. IF210172) schemes for her Ph.D. fellowship.