Global Trends in Silicon Carbide Biosensor Research: A Bibliometric Study

Silicon carbide (SiC) is a versatile industrial material and has been in use in various spheres because of its distinctive electrical and thermal properties. Among various fields, it has contributed significantly to biosensor technologies because it is both bio and hemo-compatible. Of particular interest in this study is its potential for biomedical applications. Although about 907 SiC-based biosensor articles have been published in the past 20 years (2000–2022), not many review articles have encapsulated the advancement and uses of the SiC-based biosensor. In order to better understand the development stage, research hives, and future advancement trends of SiC-based biosensor technology, it is essential to perform a broad retrospective investigation. The present study aims to explore the potential of SiC-based biosensors and their distinct features for interdisciplinary collaborations, utilizing machine learning through big data analytics. By reviewing research in this field, the study seeks to uncover global trends, challenges, and gaps in SiC-based biosensor research, as well as identify new research areas and technologies that could advance biosensor technology. By conducting the analysis, this study provides insights into the most impactful articles and top contributors to biosensor research, including journals, authors, institutions, and countries. Additionally, the study examines the methodological approaches and research contexts employed in this field. Results suggest that one of the evolving technological paths in biosensors is the use of silicon carbide-based biosensors and medical devices, which in turn are poised to transform into the commercial sphere. The main characteristics of theseemerging research grounds and technologies in biosensors are illustrated for the productive effects of research and innovation policy that led to scientific advances and technological change in society.

Keywords: Silicon carbide, Biosensors, Bibliometric analysis.