Surface acoustic wave sensing chip based on acoustic impedance effect: a method for rapid gas leakage detection and respiratory monitoring

Surface acoustic wave sensing chip based on acoustic impedance effect: a method for rapid gas leakage detection and respiratory monitoring | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Surface acoustic wave sensing chip based on acoustic impedance effect: a method for rapid gas leakage detection and respiratory monitoring Wen Wang, Baile Cui, Lina Cheng, Jing Jin, Anyu Hu, Zixuan Ren, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4069313/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Feb, 2025 Read the published version in Communications Engineering → Version 1 posted You are reading this latest preprint version Abstract The transformation of acoustic impedance (AI) in different media regulates the transmission and reflection characteristics of acoustic waves between media, thus enabling many interesting acoustic applications. Here we introduce for the first time a surface acoustic wave (SAW) chip based on the AI effect, which utilizes its piezoelectric effect and unique interdigital transducer to excite a mechanical wave (SAW) propagating along the surface of the piezoelectric crystal, and it features high sensitivity to surface-loaded media such as gases and humidity changes due to the SAW energy being localized on the surface. On this basis, we theoretically established the relationship between surface load AI and SAW propagation loss, and analyzed the influence of AI on acoustic propagation loss under different gas/humidity media using mass conservation and ideal gas state equations. Experimental measurements using SAW chips reveal that the differences in AI generated by different gases trigger different acoustic propagation loss signals, and can achieve wide-range (1-100 v/v%) gas monitoring, with fast response and recovery speeds reaching sub-second levels (t 90 <1 s, t 10 <0.5 s). This capability can also be perfectly utilized for human respiratory monitoring, accurately reflecting respiratory status, frequency, and intensity. Therefore, the SAW sensing method and chip based on the AI effect proposed in this work provide a new solution for in-situ detection of gas leaks and precise monitoring of human respiration. Physical sciences/Physics/Applied physics/Acoustics Physical sciences/Nanoscience and technology/Nanoscale devices/Sensors Acoustic impedance effect SAW ultra-fast response and recovery gas leakage detection Respiration detection. Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SIAI0311.docx supplementary file Cite Share Download PDF Status: Published Journal Publication published 01 Feb, 2025 Read the published version in Communications Engineering → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4069313","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":282162031,"identity":"f7bbdc8c-0a79-417e-93f7-33d577d5cfd6","order_by":0,"name":"Wen 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