Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractUltrasensitive QRS made by supramolecular assembly of functionalized cyclodextrins and graphene for the detection of lung cancer VOC biomarkers    Next AbstractThrombosed growing giant aneurysms of the vertebral artery: growth mechanism and management »

J Mater Chem B


Title:Sulfonated poly(ether ether ketone) [SPEEK] nanocomposites based on hybrid nanocarbons for the detection and discrimination of some lung cancer VOC biomarkers
Author(s):Nag S; Castro M; Choudhary V; Feller JF;
Address:"Smart Plastics Group, Bretagne Loire University (UBL), IRDL CNRS 3744 - UBS, Lorient, France. jean-francois.feller@univ-ubs.fr"
Journal Title:J Mater Chem B
Year:2017
Volume:20161212
Issue:2
Page Number:348 - 359
DOI: 10.1039/c6tb02583h
ISSN/ISBN:2050-7518 (Electronic) 2050-750X (Linking)
Abstract:"The analysis of a volatolome is a promising approach to allow the early diagnosis of diseases such as cancers. However, one important challenge is to take the chemical fingerprint of the complex blend of volatiles, for many of them only present at the sub-ppm level. We have investigated a facile route to differentiate the chemo-resistive behaviour of quantum resistive vapour sensors (vQRS) and provide them with a strong methanol selectivity by simply changing the sulfonation degree of poly(ether ether ketone) up to 85%. The hybridization of carbon nanotubes (CNTs) with fullerene (C(60)) structured in a 3D architecture by spray layer-by-layer (sLbL) has allowed us to boost significantly the sensitivity of sensors to reach the sub-ppm level (340 ppb). After their integration into an e-nose, PEEK-nanocarbon sensors were found to effectively discriminate both single and binary mixtures of volatile organic compounds (VOCs) and among all biomarkers to detect preferentially methanol with a high signal to noise ratio (200)"
Keywords:
Notes:"PubMed-not-MEDLINENag, Sananda Castro, Mickael Choudhary, Veena Feller, Jean-Francois eng England 2017/01/14 J Mater Chem B. 2017 Jan 14; 5(2):348-359. doi: 10.1039/c6tb02583h. Epub 2016 Dec 12"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 28-12-2024