Van Toan Nguyen, Hung Chu Manh, Hoa Nguyen Duc, Van Duy Nguyen, Thi Thanh Le Dang, Thi Thu Hoa Nguyen, Viet Nguyen Ngoc, Phuoc Phan Hong, Van Hieu Nguyen
International Training Institute for Materials Science, Hanoi University of Science and Technology, Hanoi, Viet Nam.
International Training Institute for Materials Science, Hanoi University of Science and Technology, Hanoi, Viet Nam.
J Hazard Mater. 2021 Jun 15;412:125181. doi: 10.1016/j.jhazmat.2021.125181. Epub 2021 Jan 19.
The selective detection and classification of NH and HS gases with HS gas interference based on conventional SnO thin film sensors is still the main problem. In this work, three layers of SnO/Pt/WO nanofilms with different WO thicknesses (50, 80, 140, and 260 nm) were fabricated using the sputtering technique. The WO top layer were used as a gas filter to further improve the selectivity of sensors. The effect of WO thickness on the (NH, H, and HS) gas-sensing properties of the sensors was investigated. At the optimal WO thickness of 140 nm, the gas responses of SnO/Pt/WO sensors toward NH and H gases were slightly lower than those of Pt/SnO sensor film, and the gas response of SnO/Pt/WO sensor films to HS gas was almost negligible. The calcification of NH and H gases was effectively conducted by machine learning algorithms. These evidences manifested that SnO/Pt/WO sensor films are suitable for the actual NH detection of NH and HS gases.
基于传统SnO薄膜传感器对存在HS气体干扰的NH和HS气体进行选择性检测和分类仍然是主要问题。在这项工作中,采用溅射技术制备了具有不同WO厚度(50、80、140和260纳米)的三层SnO/Pt/WO纳米薄膜。WO顶层用作气体过滤器以进一步提高传感器的选择性。研究了WO厚度对传感器(NH、H和HS)气敏性能的影响。在140纳米的最佳WO厚度下,SnO/Pt/WO传感器对NH和H气体的气敏响应略低于Pt/SnO传感薄膜,并且SnO/Pt/WO传感薄膜对HS气体的气敏响应几乎可以忽略不计。通过机器学习算法有效地实现了对NH和H气体的检测。这些证据表明,SnO/Pt/WO传感薄膜适用于实际检测NH和HS气体中的NH。