期刊
IEEE SENSORS JOURNAL
卷 10, 期 1, 页码 137-144出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2009.2035738
关键词
Biological gases; gas detectors; microsensors; multidimensional signal processing; nanotechnology
资金
- National Institutes of Health
- National Institute of Standards and Technology
- National Research Council
We evaluated a microelectromechanical systems (MEMS) microsensor array with temperature-controlled chemi-resistive elements for use as a noninvasive clinical diagnostic tool to detect the presence or absence of trace amounts of disease biomarkers in simulated breath samples. The microsensor environment was periodically altered between air (78% N(2), 21% O(2) by volume, 20% relative humidity) and simulated breath (77% N(2), 16% O(2), 4% CO(2) by volume, 80% relative humidity) samples creating a dynamic background. Acetone, a disease marker for diabetes, was spiked into select simulated breath samples at relevant concentrations (0.5 mu mol/ mol to 8 mu mol/mol) to pose a diagnostic problem for the sensor array. Using standard statistical dimensionality reduction and classification algorithms, we compared the ability of a variety of sensing materials to detect and recognize the disease marker. Our analyses indicate that the porous, doped nanoparticle materials (Sb:SnO(2) microshell films and Nb:TiO(2) nanoparticle films) are best for the recognition problem (acetone present versus absent), but that WO(3) and SnO(2) films are better at the quantification task (high versus low concentrations of acetone).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据