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
|
Text
SNA_revised_manuscript.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (977kB) | Preview |
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 |
Downloads
Downloads per month over past year