Advances in Electrochemical Biosensors for the Detection of Common Oral Diseases

Abstract

Limiting and preventing oral diseases remains a major challenge to the health of populations around the world, so finding ways to detect early-stage diseases (e.g., caries, periodontal disease, and oral cancer) and aiding in their prevention has always been an important clinical treatment concept. The development and application of electrochemical detection technology can provide important support for the early detection and non-invasive diagnosis of oral diseases and make up for the shortcomings of traditional diagnostic methods, which are highly sensitive, non-invasive, cost-effective, and less labor-intensive. It detects specific disease markers in body fluids through electrochemical reactions, discovers early warning signals of diseases, and realizes rapid and reliable diagnosis. This paper comprehensively summarizes the development and application of electrochemical biosensors in the detection and diagnosis of common oral diseases in terms of application platforms, sensing types, and disease detection, and discusses the challenges faced by electrochemical biosensors in the detection of oral diseases as well as the great prospects for future applications, in the hope of providing important insights for the future development of electrochemical biosensors for the early detection of oral diseases.

Keywords:

• Caries
• electrochemical biosensors
• oral cancer
• oral diseases
• periodontitis

Author contributions

C.L. wrote the first draft, helped prepare Figures 1, 2 and table, and critically revised the manuscript. C.G. critically revised the manuscript. Y.L. helped prepare Figures 1, 2 and revised the manuscript. Y.W. and Z.L. critically revised the manuscript. G.H. researched the manuscript and critically revised the manuscript. All authors reviewed the manuscript and gave their final approval.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Scientific Research Foundation of the Education Department of Jilin Province (Grant No. JJKH20201107KJ) and the Bethune Project of Jilin University (Grant No. 2020B23).