期刊
ANALYTICA CHIMICA ACTA
卷 584, 期 1, 页码 101-105出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2006.11.007
关键词
independent component analysis; functionalized cantilever arrays; neural networks; nanomechanical sensors
The ability to detect and identify chemical and biological elements in air or liquid environments is of far reaching importance. Performing this task using technology that minimally impacts the perceived environment is the ultimate goal. The development of functionalized cantilever arrays with nanomechanical sensing is an important step towards this goal. This report couples the feature extraction abilities of independent component analysis (ICA) and the classification techniques of neural networks to analyze the signals produced by microcantilever-array-based nanomechanical sensors. The unique capabilities of this analysis unleash the potential of this sensing technology to accurately identify chemical mixtures and concentrations. Furthermore, it is demonstrated that the knowledge of how the sensor array reacts to individual analytes in isolation is sufficient information to decode mixtures of analytes-a substantial benefit, significantly increasing the analytical utility of these sensing devices. (c) 2006 Elsevier B.V. All rights reserved.
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