Vapor supply method in odor sensing system and analysis of transient sensor responses

Vapor supply method in odor sensing system and analysis of transient sensor responses
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DOI:
10.1016/s0925-4005(99)00186-0
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发表时间:
2000-12-01
影响因子:
8.4
通讯作者:
Moriizumi, T
Moriizumi, T
中科院分区:
化学1区
文献类型:
--
作者:
Nakamoto, T;Iguchi, A;Moriizumi, T

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在气味传感系统中,由于测量系统非常简单并且能够快速测量,因此使用流动式测量系统向传感器单元供应气味蒸气。尽管我们使用了 QCM 气体传感器在蒸汽暴露期间的峰值频移作为传感器输出,但瞬态响应的形状可能有助于区分气味样本。此外,当测量条件(例如供应的蒸气浓度)发生波动时,传感系统应该具有鲁棒性。然后,我们提出了脉冲蒸汽供应方法并对测量系统进行建模以提取用于气味识别的信息。由于在脉冲供汽方法中可以忽略蒸汽浓度的变化,因此系统模型变得足够简单,对波动具有鲁棒性。当使用脉冲蒸汽供应后瞬态响应的模型参数时,具有人为波动浓度的各种样品之间的模式分离得到改善。 (C) 2000 Elsevier Science B.V. 保留所有权利。
In an odor sensing system, a flow-type measurement system has been used to supply odorant vapors to the sensor cell since the measurement system is quite simple and enables the rapid measurement. Although we have used the peak frequency shifts of QCM gas sensors during the vapor exposure as the sensor outputs, the shapes of the transient responses may be useful to discriminate odor samples. Moreover, the sensing system should be robust when the measurement condition such as supplied vapor concentration fluctuates. Then, we proposed pulse vapor supply method and modelled the measurement system to extract the information for odor identification. Since the variation of the vapor concentration could be ignored in the pulse vapor supply method, the system model became simple enough to be robust to the fluctuation. The pattern separation among various samples with artificially fluctuated concentrations was improved when the model parameters of transient responses after the pulse vapor supply were used. (C) 2000 Elsevier Science B.V. All rights reserved.