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用于室温下氢气检测的 Pt-InO 电阻式传感器的特性与建模。

Characterization and Modeling of a Pt-InO Resistive Sensor for Hydrogen Detection at Room Temperature.

机构信息

School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.

School of Electrical Engineering, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.

出版信息

Sensors (Basel). 2022 Sep 26;22(19):7306. doi: 10.3390/s22197306.

DOI:10.3390/s22197306
PMID:36236405
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9573015/
Abstract

Sensitive H sensors at low concentrations and room temperature are desired for the early warning and control of hydrogen leakage. In this paper, a resistive sensor based on Pt-doped InO nanoparticles was fabricated using inkjet printing process. The H sensing performance of the sensor was evaluated at low concentrations below 1% at room temperature. It exhibited a relative high response of 42.34% to 0.6% H. As the relative humidity of 0.5% H decreased from 34% to 23%, the response decreased slightly from 34% to 23%. The sensing principle and the humidity effect were discussed. A dynamic current sensing model for dry H detection was proposed based on Wolkenstein theory and experimentally verified to be able to predict the sensing behavior of the sensor. The H concentration can be calculated within a short measurement time using the model without waiting for the saturation of the response, which significantly reduces the sensing and recovery time of the sensor. The sensor is expected to be a promising candidate for room-temperature H detection, and the proposed model could be very helpful in promoting the application of the sensor for real-time H leakage monitoring.

摘要

对于氢气泄漏的早期预警和控制,需要在低浓度和室温下具有高灵敏度的 H 传感器。本文采用喷墨打印工艺制备了基于 Pt 掺杂 InO 纳米粒子的电阻式传感器。在室温下,对传感器在低浓度(低于 1%)下的 H 传感性能进行了评估。它对 0.6% H 的响应相对较高,达到 42.34%。当相对湿度从 34%降低到 23%时,响应值从 34%略微降低到 23%。讨论了传感原理和湿度效应。基于 Wolkenstein 理论提出了一种用于干燥 H 检测的动态电流传感模型,并通过实验验证了该模型能够预测传感器的传感行为。使用该模型可以在短的测量时间内计算 H 浓度,而无需等待响应达到饱和,这大大缩短了传感器的感测和恢复时间。该传感器有望成为室温下 H 检测的有前途的候选者,所提出的模型对于推动传感器在实时 H 泄漏监测中的应用非常有帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/0e0bb134116b/sensors-22-07306-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/7bba8aaff1e0/sensors-22-07306-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/c26a39000137/sensors-22-07306-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/f254a23a9ca5/sensors-22-07306-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/cac21fbae652/sensors-22-07306-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/535ca1577926/sensors-22-07306-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/0e0bb134116b/sensors-22-07306-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/7bba8aaff1e0/sensors-22-07306-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/c26a39000137/sensors-22-07306-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/f254a23a9ca5/sensors-22-07306-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/cac21fbae652/sensors-22-07306-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/535ca1577926/sensors-22-07306-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bc2/9573015/0e0bb134116b/sensors-22-07306-g006.jpg

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本文引用的文献

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