Year: 2022
Type: article
Abstract: The study of synthetic biology focusing on biosensor systems has resulted from a growing interest in developing customized biological devices with desired cellular functions. Recently, biosensors have been used for a variety of medical applications such as disease diagnosis, prevention, rehabilitation, patient health monitoring, and human health management. Meanwhile, the ability to track biomarkers based on biosensors allows researchers and medical practitioners to provide patients with individualized treatment regimens and health management. Biosensors that respond to electrochemical, optical, thermal, piezoelectric and magnetic signals have been developed and utilized for various disease therapies and biomedical applications. This study reviews recent developments in biosensor-based therapeutic tools by sensing diverse biomarkers in many diseases (e.g. cancer, infections, metabolic diseases), such as physical biomarkers (e.g. pressure, temperature) and chemical biomarkers (e.g. dissolved oxygen, glucose). Additionally, we highlight the challenges and problems of biosensor-based therapeutics and possible solutions for biosensor engineering thereof. Current biosensors enable for coarsely programable personal treatment and health management, however, new sensors with optimized dose-response functions, for example, fast response and tight-control performances, could significantly boost versatile uses in medical treatment in the coming future.
Source: Smart Materials in Medicine
Authors: Chi Wang, Han-Shi Zeng, Kai-Xuan Liu, Yi-Na Lin, Hao Yang, Xin-Ying Xie, Dai-Xu Wei, Jian-Wen Ye
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $700
Funders: National Natural Science Foundation of China, Tsinghua University, Guangdong Science and Technology Department, Qinghai University, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Guangzhou Municipal Science and Technology Project, Basic and Applied Basic Research Foundation of Guangdong Province
OpenAlex ID: W4307964959
