4.7 Article

New Insights for Parasitic Effects of Label-Free Biosensors Based on Capacitive Micromachined Ultrasonic Transducers

期刊

IEEE SENSORS JOURNAL
卷 22, 期 21, 页码 20575-20584

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3206097

关键词

Capacitance; Finite element analysis; Biosensors; Biological system modeling; Sensors; Liquids; Acoustics; Capacitive micromachined ultrasonic transducers (CMUTs); label-free biosensors; lumped-element model (LEM); multidomain response; parasitic effects

资金

  1. National Natural Science Foundation of China [51875449, 51890884]
  2. Fundamental Research Funds for the Central Universities [xpt012020004]
  3. China Scholarship Council [202006280385]

向作者/读者索取更多资源

This study focuses on the performance of a biosensor based on CMUTs in liquid environment, and explores the impact of parasitic effects on its performance. Through the use of lumped element model (LEM) and finite element method (FEM) analysis, predictions and improvements on the parasitic effects of the biosensor were made.
Capacitive micromachined ultrasonic transducers (CMUTs) are regarded as an attractive candidate in bio-applications such as imaging and molecule monitoring. However, the previous researches on biochemical sensing are mostly air-coupled application based on a CMUTs array because cell-to-cell mutual radiation and large motional loss in liquid environment are able to produce nonignorable noise. For a CMUTs cell, its characteristics (e.g., electrical, mechanical, and acoustic) are susceptible to parasitic effects owning to the physically capacitive dielectric dispersion, motional damping, and connection loss. Neglecting the parasitic effects on multidomain characteristics of CMUTs leads to significant robustness errors. Furthermore, finite element method (FEM) is not sufficient enough to model such parasitic effects when considering an integrated circuit interface and the evaluation of system responses. This article highlights a lumped element model (LEM) to analyze the behaviors of a label-free biosensor based on a single CMUTs cell directly operating in liquid. We successfully explore the performance of the biosensor with different types of parasitic effects in transient and frequency domains through LEM and FEM. The parasitic effects on mass loading of sensing layer and biomolecule such as deoxyribonucleic acid (DNA) and Immunoglobulin G (IgG) probes are predicted by LEM based on their surface mass densities. The proposed approach is capable of analyzing the variation's margin of CMUTs-based biosensors to improve robustness for parasitic extraction in liquid.

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