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A High-Sensitivity Gravimetric Biosensor Based on S1 Mode Lamb Wave Resonator.
Luo, Tiancheng; Liu, Wenjuan; Wen, Zhiwei; Xie, Ying; Tong, Xin; Cai, Yao; Liu, Yan; Sun, Chengliang.
Affiliation
  • Luo T; The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
  • Liu W; The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
  • Wen Z; Hubei Yangtze Memory Laboratories, Wuhan 430205, China.
  • Xie Y; The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
  • Tong X; The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
  • Cai Y; The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
  • Liu Y; The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.
  • Sun C; Hubei Yangtze Memory Laboratories, Wuhan 430205, China.
Sensors (Basel) ; 22(15)2022 Aug 08.
Article in En | MEDLINE | ID: mdl-35957469
ABSTRACT
The development of MEMS acoustic resonators meets the increasing demand for in situ detection with a higher performance and smaller size. In this paper, a lithium niobate film-based S1 mode Lamb wave resonator (HF-LWR) for high-sensitivity gravimetric biosensing is proposed. The fabricated resonators, based on a 400-nm X-cut lithium niobate film, showed a resonance frequency over 8 GHz. Moreover, a PMMA layer was used as the mass-sensing layer, to study the performance of the biosensors based on HF-LWRs. Through optimizing the thickness of the lithium niobate film and the electrode configuration, the mass sensitivity of the biosensor could reach up to 74,000 Hz/(ng/cm2), and the maximum value of figure of merit (FOM) was 5.52 × 107, which shows great potential for pushing the performance boundaries of gravimetric-sensitive acoustic biosensors.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acoustics / Biosensing Techniques Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acoustics / Biosensing Techniques Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: China