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过滤-传感器系统性能的提升。

Enhanced performance of a filter-sensor system.

作者信息

Sasaki Isao, Josowicz Mira, Janata Jirí, Glezer Ari

机构信息

School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA.

出版信息

Analyst. 2006 Jun;131(6):751-6. doi: 10.1039/b602411d. Epub 2006 Apr 13.

DOI:10.1039/b602411d
PMID:16732364
Abstract

In this paper are addressed two important, but seemingly unrelated issues: long term performance of a gas sensing array and performance of an air purification unit. It is shown that when considered together, the system can be regarded as a "smart filter". The enhancement is achieved by periodic differential sampling and measurement of the "upstream" and "downstream" gases of a filter. The correctly functioning filter supplies the "zero gas" from the downstream for the continuous sensor baseline correction. A key element in this scheme is the synthetic jet that delivers well-defined pulses of the two gases. The deterioration of the performance of the "smart filter" can be diagnosed from the response pattern of the sensor. The approach has been demonstrated on removal/sensing of ammonia gas from air.

摘要

本文探讨了两个重要但看似不相关的问题

气体传感阵列的长期性能和空气净化装置的性能。结果表明,将两者结合考虑时,该系统可被视为一个“智能过滤器”。通过对过滤器“上游”和“下游”气体进行周期性差分采样和测量来实现性能增强。正常运行的过滤器从下游提供“零气体”用于连续的传感器基线校正。该方案的一个关键元件是合成射流,它能产生两种气体的明确定义的脉冲。“智能过滤器”性能的恶化可通过传感器的响应模式来诊断。该方法已在从空气中去除/传感氨气方面得到验证。

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