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Title: Hand-held volatilome analyzer based on elastically deformable nanofibers
Authors: Yucel, Muge
Akin, Osman
Cayoren, Mehmet
Akduman, Ibrahim
Palaniappan, Alagappan
Liedberg, Bo
Hizal, Gurkan
Inci, Fatih
Yildiz, Umit Hakan
Keywords: Volatilome
Issue Date: 2018
Source: Yucel, M., Akin, O., Cayoren, M., Akduman, I., Palaniappan, A., Liedberg, B., . . . & Yildiz, U. H. (2018). Hand-held volatilome analyzer based on elastically deformable nanofibers. Analytical Chemistry, 90(8), 5122-5129. doi:10.1021/acs.analchem.7b05187
Series/Report no.: Analytical Chemistry
Abstract: This study reports on a hand-held volatilome analyzer for selective determination of clinically relevant biomarkers in exhaled breath. The sensing platform is based on electrospun polymer nanofiber-multiwalled carbon nanotube (MWCNT) sensing microchannels. Polymer nanofibers of poly(vinylidene fluoride) (PVDF), polystyrene (PS), and poly(methyl methacrylate) (PMMA) incorporated with MWCNT exhibits a stable response to interferences of humidity and CO2 and provides selective deformations upon exposure of exhaled breath target volatilomes acetone and toluene, exhibiting correlation to diabetes and lung cancer, respectively. The sensing microchannels “P1” (PVDF-MWCNT), “P2” (PS-MWCNT), and “P3” (PMMA-MWCNT) are integrated with a microfluidic cartridge (μ-card) that facilitates collection and concentration of exhaled breath. The volatilome analyzer consists of a conductivity monitoring unit, signal conditioning circuitries and a low energy display module. A combinatorial operation algorithm was developed for analyzing normalized resistivity changes of the sensing microchannels upon exposure to breath in the concentration ranges between 35 ppb and 3.0 ppm for acetone and 1 ppb and 10 ppm for toluene. Subsequently, responses of volatilomes from individuals in the different risk groups of diabetes were evaluated for validation of the proposed methodology. We foresee that proposed methodology provides an avenue for rapid detection of volatilomes thereby enabling point of care diagnosis in high-risk group individuals.
ISSN: 0003-2700
DOI: 10.1021/acs.analchem.7b05187
Schools: School of Materials Science & Engineering 
Organisations: Center for Biomimetic Sensor Science 
Rights: © 2018 American Chemical Society. This document is the Accepted Manuscript version of a Published Work that appeared in final form in Analytical Chemistry, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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