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: 雜誌貢獻文章同行評審

27 引文 斯高帕斯(Scopus)


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.
頁(從 - 到)153-157
期刊Sensors and Actuators, B: Chemical
出版狀態已發佈 - 6月 30 2010

ASJC Scopus subject areas

  • 儀器
  • 材料化學
  • 表面、塗料和薄膜
  • 金屬和合金
  • 電子、光磁材料
  • 凝聚態物理學
  • 電氣與電子工程


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