Document Detail


Detection of multiple sclerosis from exhaled breath using bilayers of polycyclic aromatic hydrocarbons and single-wall carbon nanotubes.
MedLine Citation:
PMID:  22860162     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
A cross-reactive array of polycyclic aromatic hydrocarbons and single wall carbon nanotube bilayers was designed for the detection of volatile organic compounds (tentatively, hexanal and 5-methyl-undecane) that identify the presence of disease in the exhaled breath of patients with multiple sclerosis. The sensors showed excellent discrimination between hexanal, 5-methyl-undecane, and other confounding volatile organic compounds. Results obtained from a clinical study consisting of 51 volunteers showed that the sensors could discriminate between multiple sclerosis and healthy states from exhaled breath samples with 85.3% sensitivity, 70.6% specificity, and 80.4% accuracy. These results open new frontiers in the development of a fast, noninvasive, and inexpensive medical diagnostic tool for the detection and identification of multiple sclerosis. The results could serve also as a launching pad for the discrimination between different subphases or stages of multiple sclerosis as well as for the identification of multiple sclerosis patients who would respond well to immunotherapy.
Authors:
Radu Ionescu; Yoav Broza; Hila Shaltieli; Dvir Sadeh; Yael Zilberman; Xinliang Feng; Lea Glass-Marmor; Izabella Lejbkowicz; Klaus Müllen; Ariel Miller; Hossam Haick
Publication Detail:
Type:  Journal Article     Date:  2011-09-22
Journal Detail:
Title:  ACS chemical neuroscience     Volume:  2     ISSN:  1948-7193     ISO Abbreviation:  ACS Chem Neurosci     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2012-08-03     Completed Date:  2012-08-23     Revised Date:  2012-12-21    
Medline Journal Info:
Nlm Unique ID:  101525337     Medline TA:  ACS Chem Neurosci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  687-93     Citation Subset:  -    
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