Real-time electronic nose based pathogen detection for respiratory intensive care patients

Chung Hung Shih, Yuh Jiuan Lin, Kun Feng Lee, Pei Yu Chien, Philip Drake

研究成果: 雜誌貢獻文章

19 引文 (Scopus)

摘要

An acoustic wave based electronic nose was used to monitor the exhaled breath of patients in an intensive care unit. The system could be used for detecting and identifying bacterial infections of the lungs and airways in real-time. The patients all had ventilator assisted breathing and were diagnosed with respiratory failure due to severe pneumonia and other extrapulmonary diseases by two chest physicians. The electronic nose was based on piezoelectric quartz crystal microbalance sensors. The system used an array of 24 individual transducers each coated with a different peptide sequence ranging from 5 to 10 amino acids in length. The overall pattern response of the electronic nose to the patients' breath was subjected to multiple discriminant analysis (MDA). The results of this were compared to data collected by conventional swab and sputum cultures taken from the same patients. Six different bacterial pathogens were identified and grouped into clusters by the MDA with 98% accuracy these were Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Acinetobacter lwoffii.
原文英語
頁(從 - 到)153-157
頁數5
期刊Sensors and Actuators, B: Chemical
148
發行號1
DOIs
出版狀態已發佈 - 六月 30 2010

指紋

pathogens
Pathogens
Discriminant analysis
pneumonia
electronics
Intensive care units
ventilators
Quartz crystal microbalances
Klebsiella
piezoelectric crystals
Peptides
pseudomonas
physicians
staphylococcus
Amino acids
chest
Transducers
infectious diseases
breathing
quartz crystals

ASJC Scopus subject areas

  • Instrumentation
  • Materials Chemistry
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

引用此文

Real-time electronic nose based pathogen detection for respiratory intensive care patients. / Shih, Chung Hung; Lin, Yuh Jiuan; Lee, Kun Feng; Chien, Pei Yu; Drake, Philip.

於: Sensors and Actuators, B: Chemical, 卷 148, 編號 1, 30.06.2010, p. 153-157.

研究成果: 雜誌貢獻文章

Shih, Chung Hung ; Lin, Yuh Jiuan ; Lee, Kun Feng ; Chien, Pei Yu ; Drake, Philip. / Real-time electronic nose based pathogen detection for respiratory intensive care patients. 於: Sensors and Actuators, B: Chemical. 2010 ; 卷 148, 編號 1. 頁 153-157.
@article{add17f9f22384a58bede9910e920654f,
title = "Real-time electronic nose based pathogen detection for respiratory intensive care patients",
abstract = "An acoustic wave based electronic nose was used to monitor the exhaled breath of patients in an intensive care unit. The system could be used for detecting and identifying bacterial infections of the lungs and airways in real-time. The patients all had ventilator assisted breathing and were diagnosed with respiratory failure due to severe pneumonia and other extrapulmonary diseases by two chest physicians. The electronic nose was based on piezoelectric quartz crystal microbalance sensors. The system used an array of 24 individual transducers each coated with a different peptide sequence ranging from 5 to 10 amino acids in length. The overall pattern response of the electronic nose to the patients' breath was subjected to multiple discriminant analysis (MDA). The results of this were compared to data collected by conventional swab and sputum cultures taken from the same patients. Six different bacterial pathogens were identified and grouped into clusters by the MDA with 98{\%} accuracy these were Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Acinetobacter lwoffii.",
keywords = "Acoustic wave, Bacteria, Detection, Electronic nose, Pathogen, Piezoelectric",
author = "Shih, {Chung Hung} and Lin, {Yuh Jiuan} and Lee, {Kun Feng} and Chien, {Pei Yu} and Philip Drake",
year = "2010",
month = "6",
day = "30",
doi = "10.1016/j.snb.2010.04.025",
language = "English",
volume = "148",
pages = "153--157",
journal = "Sensors and Actuators, B: Chemical",
issn = "0925-4005",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Real-time electronic nose based pathogen detection for respiratory intensive care patients

AU - Shih, Chung Hung

AU - Lin, Yuh Jiuan

AU - Lee, Kun Feng

AU - Chien, Pei Yu

AU - Drake, Philip

PY - 2010/6/30

Y1 - 2010/6/30

N2 - An acoustic wave based electronic nose was used to monitor the exhaled breath of patients in an intensive care unit. The system could be used for detecting and identifying bacterial infections of the lungs and airways in real-time. The patients all had ventilator assisted breathing and were diagnosed with respiratory failure due to severe pneumonia and other extrapulmonary diseases by two chest physicians. The electronic nose was based on piezoelectric quartz crystal microbalance sensors. The system used an array of 24 individual transducers each coated with a different peptide sequence ranging from 5 to 10 amino acids in length. The overall pattern response of the electronic nose to the patients' breath was subjected to multiple discriminant analysis (MDA). The results of this were compared to data collected by conventional swab and sputum cultures taken from the same patients. Six different bacterial pathogens were identified and grouped into clusters by the MDA with 98% accuracy these were Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Acinetobacter lwoffii.

AB - An acoustic wave based electronic nose was used to monitor the exhaled breath of patients in an intensive care unit. The system could be used for detecting and identifying bacterial infections of the lungs and airways in real-time. The patients all had ventilator assisted breathing and were diagnosed with respiratory failure due to severe pneumonia and other extrapulmonary diseases by two chest physicians. The electronic nose was based on piezoelectric quartz crystal microbalance sensors. The system used an array of 24 individual transducers each coated with a different peptide sequence ranging from 5 to 10 amino acids in length. The overall pattern response of the electronic nose to the patients' breath was subjected to multiple discriminant analysis (MDA). The results of this were compared to data collected by conventional swab and sputum cultures taken from the same patients. Six different bacterial pathogens were identified and grouped into clusters by the MDA with 98% accuracy these were Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Acinetobacter lwoffii.

KW - Acoustic wave

KW - Bacteria

KW - Detection

KW - Electronic nose

KW - Pathogen

KW - Piezoelectric

UR - http://www.scopus.com/inward/record.url?scp=77953915540&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953915540&partnerID=8YFLogxK

U2 - 10.1016/j.snb.2010.04.025

DO - 10.1016/j.snb.2010.04.025

M3 - Article

AN - SCOPUS:77953915540

VL - 148

SP - 153

EP - 157

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

SN - 0925-4005

IS - 1

ER -