Department of Public Health Dentistry, Sree Balaji Dental College and Hospital, Pallikaranai, Chennai 600 100, India.
Department of Periodontics, College of Dentistry, Ajman University, Ajman P.O. Box 346, United Arab Emirates.
Biosensors (Basel). 2022 Jul 8;12(7):498. doi: 10.3390/bios12070498.
Oral cancer is a serious concern to people all over the world because of its high mortality rate and metastatic spread to other areas of the body. Despite recent advancements in biomedical research, OC detection at an early stage remains a challenge and is complex and inaccurate with conventional diagnostics procedures. It is critical to study innovative approaches that can enable a faster, easier, non-invasive, and more precise diagnosis of OC in order to increase the survival rate of patients. In this paper, we conducted a review on how biosensors might be an excellent tool for detecting OC. This review covers the strategies that use different biosensors to target various types of biomarkers and focuses on biosensors that function at the molecular level viz. DNA biosensors, RNA biosensors, and protein biosensors. In addition, we reviewed non-invasive electrochemical methods, optical methods, and nano biosensors to analyze the OC biomarkers present in body fluids such as saliva and serum. As a result, this review sheds light on the development of ground-breaking biosensors for the early detection and diagnosis of OC.
口腔癌因其高死亡率和向身体其他部位转移的特性，引起了全世界人民的严重关注。尽管生物医学研究最近取得了进展，但早期 OC 的检测仍然是一个挑战，传统的诊断程序复杂且不准确。因此，研究创新方法以实现更快、更简单、非侵入性和更精确的 OC 诊断，从而提高患者的生存率至关重要。在本文中，我们综述了生物传感器如何成为检测 OC 的极好工具。本综述涵盖了使用不同生物传感器针对各种类型生物标志物的策略，并重点介绍了在分子水平上起作用的生物传感器，即 DNA 生物传感器、RNA 生物传感器和蛋白质生物传感器。此外，我们还综述了非侵入性电化学方法、光学方法和纳米生物传感器，以分析唾液和血清等体液中存在的 OC 生物标志物。因此，本综述为早期检测和诊断 OC 的突破性生物传感器的开发提供了思路。
