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Electric split-ring metamaterial based microfluidic chip with multi-resonances for microparticle trapping and chemical sensing applications.
Xu, Xiaocan; Zheng, Daoye; Lin, Yu-Sheng.
  • Xu X; School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China.
  • Zheng D; School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China.
  • Lin YS; School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China. Electronic address: linyoush@mail.sysu.edu.cn.
J Colloid Interface Sci ; 642: 462-469, 2023 Jul 15.
Article en En | MEDLINE | ID: mdl-37023517
In this work, an integration of terahertz (THz) electrical split-ring metamaterial (eSRM) with microfluidic chip is presented. This eSRM-based microfluidic chip exhibits multiple resonances in the THz spectrum and trapping selectively microparticle size characteristics. The arrangement of eSRM array is dislocation. It generates the fundamental inductive-capacitive (LC) resonant mode, quadrupole, and octupolar plasmon resonant modes and then exhibits high sensitivity to the environmental refraction index. The trapping structures of microparticles are elliptical barricades on eSRM surface. Thus, the electric field energy is strongly confined within the gap of eSRM in transverse electric (TE) mode and then the elliptical trapping structures are anchored on both sides of the split gap to ensure the microparticles can be trapped and located on the gap. To imitate the microparticle sensing ambient environment qualitatively and quantitatively in the THz spectrum, the microparticles are designed different feature sizes with different refraction index from 1.0 to 2.0 in ethanol medium. The results show the proposed eSRM-based microfluidic chip possesses the trapping and sensing abilities in single microparticle and high sensitivity for fungus, microorganism, chemical and environmental applications.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article