Real-time monitoring of airborne molecular contamination on antireflection silica coatings using surface acoustic wave technology

Zhu, Hao, Ao, Dongyi, Zhang, Wenting, Zhang, Ruijie, Shi, Xing, Zu, Xiaotao, Wang, Bangji, Wang, Hongyan, Fu, Richard and Tang, Yongliang (2021) Real-time monitoring of airborne molecular contamination on antireflection silica coatings using surface acoustic wave technology. Sensors and Actuators A: Physical. p. 112796. ISSN 0924-4247

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Official URL: https://doi.org/10.1016/j.sna.2021.112796

Abstract

Real time monitoring of contamination on antireflection (AR) silica coatings in high peak power laser systems (HPLs) is critically needed in order to avoid reductions of transmission and laser damage to optical surfaces. Herein we proposed to apply a surface acoustic wave (SAW) sensor to real-time monitor trace amounts of airborne molecular contaminants (AMCs) adsorbed on the AR silica coatings. The silica coating is found to be susceptible to AMCs because of its mesoporous structure, huge surface area and polar nature. The adsorbed AMCs caused the increased mass on the silica coating of the SAW sensor, which resulted in a significant increase of its frequency shift. The fabricated sensor showed a high sensitivity of ∼-490 mm2 ng−1Hz and an excellent linearity vs. the areal density of adsorbed AMCs since the frequency shift of the sensor is linearly related to the change of mass of the silica coating.

Item Type: Article
Additional Information: Funding information: This work was supported by the Fundamental Research Funds for the Central Universities (2682019CX68), the Scientific Research Foundation of SWJTU (A1920502051907-2-032), the National Natural Science Foundation of China (51902272) and the NSAF Joint Foundation of China (U1630126 and U1230124).
Uncontrolled Keywords: Antireflection silica coatings, SAW sensor, Contamination, Airborne molecular contaminant
Subjects: H100 General Engineering
H600 Electronic and Electrical Engineering
H900 Others in Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 04 May 2021 13:32
Last Modified: 27 Apr 2022 03:30
URI: http://nrl.northumbria.ac.uk/id/eprint/46079

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