AAAR 31st Annual Conference
October 8-12, 2012
Hyatt Regency Minneapolis
Minneapolis, Minnesota, USA
Abstract View
Selectively Detecting Influenza Viruses in Exhaled Breath in Minutes Using Silicon Nanowire Sensor: A New Arena for Flu Diagnosis
Fangxia Shen, Jindong Wang, Zhenqiang Xu, Yan Wu, Qi Chen, Xiaoguang Li, Jie Xu, Li Lidong, MAOSHENG YAO, Xuefeng Guo, Zhu Tong, Peking University
Abstract Number: 673 Working Group: The Indoor Microbiome
Abstract Influenza epidemics worldwide result in substantial economic and human costs annually. However, rapid and reliable flu diagnosis method is significantly lacking. Here we have demonstrated the selective detection of influenza A viruses down to 29/μL in clinical exhaled breath condensate (EBC) samples (diluted by 100-fold) within minutes using silicon nanowire (SiNW) sensor devices. In all cases, we have observed that EBC samples tested positive or negative by gold standard method RT-qPCR generated corresponding positive or negative SiNW sensor responses. High selectivity of SiNW sensing was also demonstrated using H1N1 viruses, 8 iso PGF 2a and inert nanoparticles. Finally, magnetic beads were shown capable of enhancing SiNW sensing directly for low level viruses and 8 iso PGF 2a. When calibrated by virus standards and EBC controls, our work suggests that SiNW sensor device can be reliably applied to the diagnosis of flu in a clinical setting with 2-order magnitude less time compared to gold standard method RT-qPCR.