Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

Shehada N, Cancilla JC, Torrecilla JS, Pariente ES, Broenstrup G, Christiansen S, Johnson DW, Leja M, Davies MPA, Liran O, Peled N, Haick H (2016)

Publication Type: Journal article

Publication year: 2016

Journal

ACS nano American Chemical Society

Book Volume: 10

Pages Range: 7047-7057

Journal Issue: 7

DOI: 10.1021/acsnano.6b03127

Abstract

Two of the biggest challenges in medicine today are the need to detect diseases in a noninvasive manner and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularly modified silicon nanowire field effect transistor (SiNW FET) and showing its use in the detection and classification of many disease breathprints (lung cancer, gastric cancer, asthma, and chronic obstructive pulmonary disease). The fabricated SiNW FETs are characterized and optimized based on a training set that correlate their sensitivity and selectivity toward volatile organic compounds (VOCs) linked with the various disease breathprints. The best sensors obtained in the training set are then examined under real-world clinical conditions, using breath samples from 374 subjects. Analysis of the clinical samples show that the optimized SiNW FETs can detect and discriminate between almost all binary comparisons of the diseases under examination with >80% accuracy. Overall, this approach has the potential to support detection of many diseases in a direct harmless way, which can reassure patients and prevent numerous unpleasant investigations.

Involved external institutions

Technion - Israel Institute of Technology IL Israel (IL) Universidad Complutense de Madrid (UCM) ES Spain (ES) Max-Planck-Institut für die Physik des Lichts (MPL) / Max Planck Institute for the Science of Light DE Germany (DE) Baptist Medical Center Jacksonville US United States (USA) (US) University of Latvia LV Latvia (LV) The University of Liverpool GB United Kingdom (GB) Davidoff Cancer Centre IL Israel (IL)

How to cite

APA:

Shehada, N., Cancilla, J.C., Torrecilla, J.S., Pariente, E.S., Broenstrup, G., Christiansen, S.,... Haick, H. (2016). Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath. ACS nano, 10(7), 7047-7057. https://doi.org/10.1021/acsnano.6b03127

MLA:

Shehada, Nisreen, et al. "Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath." ACS nano 10.7 (2016): 7047-7057.

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