Detection of VOCs and their concentrations by a single SnO2 sensor using kinetic information
Detection of VOCs and their concentrations by a single SnO2 sensor using kinetic information
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DOI：
10.1016/j.snb.2006.09.051
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发表时间：
2007-04
影响因子：
8.4
通讯作者：
Wei-Ming Zhang;Jinsong Hu;Weiguo Song;L. Wan
中科院分区：
文献类型：
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作者：
Wei-Ming Zhang;Jinsong Hu;Weiguo Song;L. Wan
我们报告了一种新的动力学方法来识别挥发性有机化合物（VOCs），并确定其浓度与一个单一的SnO2气体传感器。传统的基于阵列的电子鼻通常依赖于目标分子和传感材料之间的响应饱和度，我们的方法是基于动力学的。它比传统的模式识别系统更简单、更直观。为该系统开发了一种有效的算法。该算法可以高精度地识别化学物质，而不管其浓度如何，并且能够估计分析物的浓度。它降低了传统的基于阵列的电子鼻系统的硬件和软件的复杂性。
We report a novel kinetic approach to identify volatile organic compounds (VOCs) and to determine their concentrations with a single SnO2gas sensor. Traditional array-based electronic noses usually rely on the saturation level of the response between target molecules and sensing materials, and our approach is kinetic based. It is more straightforward and simpler than traditional pattern recognition systems. An effective algorithm is developed for this system. The algorithm can identify chemicals with high accuracy regardless of their concentrations, and it is able to estimate the concentrations of the analytes. It reduces the complexity of hardware as well as software in traditional array-based electronic nose systems.