4.8 Article

Chemiresistive Electronic Nose toward Detection of Biomarkers in Exhaled Breath

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 8, 期 32, 页码 20969-20976

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.6b03256

关键词

nanostructural thin film metal oxides; electronic nose; chemiresistive sensor; sensor array; exhaled breath analyzer; noninvasive diagnostic tool; biomarkers

资金

  1. KIST Institutional Program [2E26370]
  2. Korea Ministry of Environment [GT-11-F-02-002-1]
  3. Institute for Information & Communications Technology Promotion (IITP) - Korean government (MSIP) [2N40450]
  4. Korea Environmental Industry & Technology Institute (KEITI) [GT-11-F-02-002-1] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  5. Ministry of Science, ICT & Future Planning, Republic of Korea [2E26370] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Detection of gas-phase chemicals finds a wide variety of applications, including food and beverages, fragrances, environmental monitoring, chemical and biochemical processing, medical diagnostics, and transportation. One approach for these tasks is to use arrays of highly sensitive and selective sensors as an electronic nose. Here, we present a high performance chemiresistive electronic nose (CEN) based on an array of metal oxide thin films, metal-catalyzed thin films, and nanostructured thin films. The gas sensing properties of the CEN show enhanced sensitive detection of H2S, NH3, and NO in an 80% relative humidity (RH) atmosphere similar to the composition of exhaled breath. The detection limits of the sensor elements we fabricated are in the following ranges: 534 ppt to 2.87 ppb for H2S, 4.45 to 42.29 ppb, for NH3, and 206 ppt to 2.06 ppb for NO. The enhanced sensitivity is attributed to the spillover effect by Au nanoparticles and the high porosity of villi-like nanostructures, pioviding a large surface-to-volume ratio. The remarkable selectivity based on the collection of sensor responses manifests itself in the principal component analysis (PCA). The excellent sensing performance indicates that the CEN can detect the biomarkers of H2S, NH3, and NO in exhaled breath and even distinguish them clearly in the PC:A. Our results show high potential of the CEN as an inexpensive and noninvasive diagnostic tool for halitosis, kidney disorder, and asthma.

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