| Title: | Hand-Held Volatilome Analyzer Based on Elastically Deformable Nanofibers |
| Author(s): | Yucel M; Akin O; Cayoren M; Akduman I; Palaniappan A; Liedberg B; Hizal G; Inci F; Yildiz UH; |
| Address: | "Department of Biotechnology and Bioengineering , Izmir Institute of Technology , Izmir 35430 , Turkey. Department of Mechatronic Engineering , Izmir Katip Celebi University , Izmir 35640 , Turkey. Department of Electronic and Communication , Istanbul Technical University , Istanbul 34398 , Turkey. Center for Biomimetic Sensor Science, School of Materials Science and Engineering , Nanyang Technological University , 637553 Singapore. Department of Chemistry , Istanbul Technical University , Istanbul 34398 , Turkey. Department of Radiology , Stanford University, School of Medicine, Canary Center at Stanford for Cancer Early Detection , Palo Alto , California 94304 , United States. Department of Chemistry , Izmir Institute of Technology , Izmir 35430 , Turkey" |
| DOI: | 10.1021/acs.analchem.7b05187 |
| ISSN/ISBN: | 1520-6882 (Electronic) 0003-2700 (Linking) |
| 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 CO(2) 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 (mu-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" |
| Keywords: | "Acetone/analysis Breath Tests/instrumentation/*methods Diabetes Mellitus/diagnosis/metabolism Humans Lung Diseases/diagnosis/metabolism Microfluidic Analytical Techniques Nanofibers/*analysis Nanotubes, Carbon/chemistry Point-of-Care Systems Polymethyl Me;" |
| Notes: | "MedlineYucel, Muge Akin, Osman Cayoren, Mehmet Akduman, Ibrahim Palaniappan, Alagappan Liedberg, Bo Hizal, Gurkan Inci, Fatih Yildiz, Umit Hakan eng 2018/03/21 Anal Chem. 2018 Apr 17; 90(8):5122-5129. doi: 10.1021/acs.analchem.7b05187. Epub 2018 Mar 26" |
