Rapid Flu Diagnosis Using Silicon Nanowire Sensor
- 25 June 2012
- journal article
- Published by American Chemical Society (ACS) in Nano Letters
- Vol. 12 (7), 3722-3730
- https://doi.org/10.1021/nl301516z
Abstract
Influenza epidemics worldwide result in substantial economic and human costs annually. However, rapid and reliable flu diagnosis methods are significantly lacking. Here we have demonstrated the selective detection of influenza A viruses down to 29 viruses/μL in clinical exhaled breath condensate (EBC) samples (diluted by 100-fold) within minutes using silicon nanowire (SiNW) sensor devices. For 90% of the 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 the SiNW sensor device can be reliably applied to the diagnosis of flu in a clinical setting with 2 orders of magnitude less time compared to the gold standard method RT-qPCR.Keywords
This publication has 25 references indexed in Scilit:
- HPV in exhaled breath condensate of lung cancer patientsBritish Journal of Cancer, 2011
- One-step assay for detecting influenza virus using dynamic light scattering and gold nanoparticlesThe Analyst, 2011
- Detection of microorganisms in exhaled breath condensate during acute exacerbations of COPDRespirology, 2011
- Simultaneous Detection of Influenza A, Influenza B, and Respiratory Syncytial Viruses and Subtyping of Influenza A H3N2 Virus and H1N1 (2009) Virus by Multiplex Real-Time PCRJournal of Clinical Microbiology, 2011
- Pitfalls in Diagnosis of Pandemic (Novel) A/H1N1 2009 InfluenzaJournal of Clinical Microbiology, 2010
- Label-free biomarker detection from whole bloodNature Nanotechnology, 2009
- Influenza Virus in Human Exhaled Breath: An Observational StudyPLOS ONE, 2008
- A New Method for Sampling and Detection of Exhaled Respiratory Virus AerosolsClinical Infectious Diseases, 2008
- Label-free immunodetection with CMOS-compatible semiconducting nanowiresNature, 2007
- Quantitative Analysis of Urine Vapor and Breath by Gas-Liquid Partition ChromatographyProceedings of the National Academy of Sciences of the United States of America, 1971