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 AbstractMaternal olfactory cues synchronize the circadian system of artificially raised newborn rabbits    Next AbstractThe electronic nose in respiratory medicine »

Chest


Title:"Diagnostic performance of an electronic nose, fractional exhaled nitric oxide, and lung function testing in asthma"
Author(s):Montuschi P; Santonico M; Mondino C; Pennazza G; Mantini G; Martinelli E; Capuano R; Ciabattoni G; Paolesse R; Di Natale C; Barnes PJ; D'Amico A;
Address:"Department of Pharmacology, Faculty of Medicine, Catholic University of the Sacred Heart, Largo F. Vito, 1, 00168 Rome, Italy. pmontuschi@rm.unicatt.it"
Journal Title:Chest
Year:2010
Volume:20100115
Issue:4
Page Number:790 - 796
DOI: 10.1378/chest.09-1836
ISSN/ISBN:1931-3543 (Electronic) 0012-3692 (Linking)
Abstract:"BACKGROUND: Analysis of exhaled breath by biosensors discriminates between patients with asthma and healthy subjects. An electronic nose consists of a chemical sensor array for the detection of volatile organic compounds (VOCs) and an algorithm for pattern recognition. We compared the diagnostic performance of a prototype of an electronic nose with lung function tests and fractional exhaled nitric oxide (FENO) in patients with atopic asthma. METHODS: A cross-sectional study was undertaken in 27 patients with intermittent and persistent mild asthma and in 24 healthy subjects. Two procedures for collecting exhaled breath were followed to study the differences between total and alveolar air. Seven patients with asthma and seven healthy subjects participated in a study with mass spectrometry (MS) fingerprinting as an independent technique for assessing between group discrimination. Classification was based on principal component analysis and a feed-forward neural network. RESULTS: The best results were obtained when the electronic nose analysis was performed on alveolar air. Diagnostic performance for electronic nose, FENO, and lung function testing was 87.5%, 79.2%, and 70.8%, respectively. The combination of electronic nose and FENO had the highest diagnostic performance for asthma (95.8%). MS fingerprints of VOCs could discriminate between patients with asthma and healthy subjects. CONCLUSIONS: The electronic nose has a high diagnostic performance that can be increased when combined with FENO. Large studies are now required to definitively establish the diagnostic performance of the electronic nose. Whether this integrated noninvasive approach will translate into an early diagnosis of asthma has to be clarified. TRIAL REGISTRATION: EUDRACT https://eudralink.emea.europa.eu; Identifier: 2007-000890-51; and clinicaltrials.gov; Identifier: NCT00819676"
Keywords:"Adult Algorithms Asthma/*diagnosis/*metabolism/physiopathology *Biosensing Techniques *Breath Tests Case-Control Studies Cross-Sectional Studies Diagnostic Tests, Routine Exhalation Female Humans Lung/physiopathology Male Mass Spectrometry Nitric Oxide/*m;"
Notes:"MedlineMontuschi, Paolo Santonico, Marco Mondino, Chiara Pennazza, Giorgio Mantini, Giulia Martinelli, Eugenio Capuano, Rosamaria Ciabattoni, Giovanni Paolesse, Roberto Di Natale, Corrado Barnes, Peter J D'Amico, Arnaldo eng Evaluation Study Research Support, Non-U.S. Gov't 2010/01/19 Chest. 2010 Apr; 137(4):790-6. doi: 10.1378/chest.09-1836. Epub 2010 Jan 15"

 
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 16-11-2024