Near-sensor computing-assisted simultaneous viral antigen and antibody detection via integrated label-free biosensors with microfluidics  

作　　者：Byungjoon Bae Yongmin Baek Jeongyong Yang Heesung Lee Charana S.S.Sonnadara Sangeun Jung Minseong Park Doeon Lee Sihwan Kim Gaurav Giri Sahil Shah Geonwook Yoo William APetri Kyusang Lee 

机构地区：[1]Department of Electrical and Computer Engineering,University of Virginia,Charlottesville,Virginia,USA [2]School of Electronic Engineering,Soongsil University,Seoul,Republic of Korea [3]Department of Electrical and Computer Engineering,University of Maryland,College Park,Maryland,USA [4]Department of Chemical Engineering,University of Virginia,Charlottesville,Virginia,USA [5]Division of Infectious Diseases and International Health,Department of Medicine,School of Medicine,University of Virginia,Charlottesville,Virginia,USA [6]Department of Material Science and Engineering,University of Virginia,Charlottesville,Virginia,USA [7]Department of Intelligent Semiconductors,Soongsil University,Seoul,Republic of Korea

出　　处：《InfoMat》2023年第10期80-95,共16页信息材料（英文）

基　　金：National Science Foundation(NSF),Grant/Award Number:1942868;IVY Foundation COVID-19 Translational Research Fund,Grant/Award Number:IVY14;National Research Foundation of Korea(NRF),Grant/Award Number:NRF-2021R1A4A1033155。

摘　　要：Precise diagnosis and immunity to viruses,such as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and Middle East respiratory syndrome coronavirus(MERS-CoV)is achieved by the detection of the viral antigens and/or corresponding antibodies,respectively.However,a widely used antigen detection methods,such as polymerase chain reaction(PCR),are complex,expensive,and time-consuming Furthermore,the antibody test that detects an asymptomatic infection and immunity is usually performed separately and exhibits relatively low accuracy.To achieve a simplified,rapid,and accurate diagnosis,we have demonstrated an indium gallium zinc oxide(IGZO)-based biosensor field-effect transistor(bio-FET)that can simultaneously detect spike proteins and antibodies with a limit of detection(LOD)of 1 pg mL–1 and 200 ng mL–1,respectively using a single assay in less than 20 min by integrat-ing microfluidic channels and artificial neural networks(ANNs).The near-sensor ANN-aided classification provides high diagnosis accuracy(>93%)with significantly reduced processing time(0.62%)and energy consumption(5.64%)compared to the software-based ANN.We believe that the development of rapid and accurate diagnosis system for the viral antigens and antibodies detec-tion will play a crucial role in preventing global viral outbreaks.

关 键 词：artificial intelligence biosensor edge-computing integration microfluidic 

分 类 号：TP212.3[自动化与计算机技术—检测技术与自动化装置] R44[自动化与计算机技术—控制科学与工程]