Zeolite-based thermal mass gas sensor with self-identification algorithm

M. Denoual, M. Pouliquen, C. Jorel, C. Radu, D. Robbes, M. Harnois, O. de Sagazan, J. Grand, H. Awala, S. Mintova, S. Inoue, E. Lebrasseur, K. Yamada, Y. Okamoto, A. Mita-Tixier, Y. Mita
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引用次数: 1

Abstract

We demonstrate a new operation mode of thermal gas sensor based on thermal mass extraction with identification algorithm. The system is a silicon microstructure covered with zeolites operated at constant temperature while stimulated by heat pseudo-random sequence. The proposed detection principle is demonstrated at room temperature and atmospheric pressure through the detection of gas water molecules with an hydrophilic FAU-type zeolite coating.
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基于自识别算法的沸石热质量气体传感器
提出了一种基于热质量提取和识别算法的新型热气体传感器工作模式。该体系是一种覆盖沸石的硅微观结构,在恒温下通过热伪随机序列刺激运行。在常温常压条件下,通过亲水的fu型沸石涂层对气体水分子的检测,验证了所提出的检测原理。
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