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Meeting MS&T22: Materials Science & Technology
Symposium Nanotechnology for Energy, Environment, Electronics, Healthcare and Industry
Presentation Title H-14: Multi-Element Surface Acoustic Wave (SAW) Sensors for Methane Detection
Author(s) Daejin Kim, Jeffrey T. Culp, Jagannath Devkota, Ruishu Wright
On-Site Speaker (Planned) Daejin Kim
Abstract Scope America relies on natural gas as a major energy source (approximately 40% in 2021). However, an estimated 2.3% of the gross natural gas production escapes from U.S. gas pipelines annually, resulting in a loss of ~$2 billion a year. The leaked methane gas is a powerful greenhouse gas which is 25 times more potent than CO2. Therefore, it is critical to detect leaks from natural gas pipelines using a sensitive methane sensor to alleviate the impact of methane emissions on both economy and environment. In light of this fact, we have developed a multi-element SAW array sensor which is coated with various sorbent materials to demonstrate methane sensing under environmental conditions. The effects of sorbent particle size and binding agents on the sensing performance will be discussed in both dry and humid conditions. The comparison between the wired and wireless detection modes of the SAW sensors will also be presented.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3D Metal Oxide Magnetic Nanostructures for The Design of Nanosensors and Magnetic Actuators
Antibacterial Action of Gold Nanoparticles Against Various Types of Bacteria: A Concise Review
Fabrication of Fexible Nanocomposites Based on PVC, Electrical and Magnetic Nano Fillers for the Shielding Against Unwanted Electromagnetic Waves
H-13: Impedimetric Determination of Cortisol Using Gold Nanoparticles Functionalized Laser Induced Graphene Electrode
H-14: Multi-Element Surface Acoustic Wave (SAW) Sensors for Methane Detection
H-15: Transition Metal Doped Cerium Oxide Nanozymes: Physical and Biological Characterizations for Interactions with Oxidative Stress
Removal of Copper (II) and Lead (II) from Hydrometallurgical Effluent onto Cellulose Nanocomposites: Mechanistic and Artificial Neural Network Modeling
Ternary Oxides Based on Cobalt, Iron, Copper Nanoparticles for Supercapacitor Electrode: A Review

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