Fast, accurate, point-of-care COVID-19 pandemic diagnosis enabled through advanced lab-on-chip optical biosensors: Opportunities and challenges.
Fast, accurate, point-of-care COVID-19 pandemic diagnosis enabled through advanced lab-on-chip optical biosensors: Opportunities and challenges.
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DOI:
10.1063/5.0022211
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发表时间:
2021-09
影响因子:
15
通讯作者:
Chen RT
中科院分区:
文献类型:
--
作者:
Asghari A;Wang C;Yoo KM;Rostamian A;Xu X;Shin JD;Dalir H;Chen RT
The sudden rise of the worldwide severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in early 2020 has called into drastic action measures to perform instant detection and reduce the rate of spread. Common clinical and nonclinical diagnostic testing methods have been partially effective in satisfying the increasing demand for fast detection point-of-care (POC) methods to slow down further spread. However, accurate point-of-risk diagnosis of this emerging viral infection is paramount as the need for simultaneous standard operating procedures and symptom management of SARS-CoV-2 will be the norm for years to come. A sensitive, cost-effective biosensor with mass production capability is crucial until a universal vaccination becomes available. Optical biosensors can provide a noninvasive, extremely sensitive rapid detection platform with sensitivity down to ∼67 fg/ml (1 fM) concentration in a few minutes. These biosensors can be manufactured on a mass scale (millions) to detect the COVID-19 viral load in nasal, saliva, urine, and serological samples, even if the infected person is asymptotic. Methods investigated here are the most advanced available platforms for biosensing optical devices that have resulted from the integration of state-of-the-art designs and materials. These approaches include, but are not limited to, integrated optical devices, plasmonic resonance, and emerging nanomaterial biosensors. The lab-on-chip platforms examined here are suitable not only for SARS-CoV-2 spike protein detection but also for other contagious virions such as influenza and Middle East respiratory syndrome (MERS).
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DOI:
10.3390/bios6010001
发表时间:
2016-01-06
期刊:
Biosensors
影响因子:
--
作者:
Chalyan T;Guider R;Pasquardini L;Zanetti M;Falke F;Schreuder E;Heideman RG;Pederzolli C;Pavesi L
通讯作者:
Pavesi L
影响因子:
64.8
作者:
Chen, Chi-Fan;Park, Cheol-Hwan;Wang, Feng
通讯作者:
Wang, Feng
影响因子:
12.6
作者:
Chang, Ching-Wen;Xu, Xiaochuan;Chen, Ray T.
通讯作者:
Chen, Ray T.
影响因子:
12.6
作者:
Abbas A;Linman MJ;Cheng Q
通讯作者:
Cheng Q
影响因子:
12.6
作者:
Ahmadivand A;Gerislioglu B;Ramezani Z;Kaushik A;Manickam P;Ghoreishi SA
通讯作者:
Ghoreishi SA