Scholarlink

<p>The integration of MEMS resonators with microfluidic channels holds great promise for enhancing sensitivity in biomedical sensing applications. However, achieving precise control and accurate prediction of device behavior in magnetically responsive biological fluids remains a significant challenge. This study addresses this limitation through finite element simulations conducted in COMSOL Multiphysics to investigate resonance characteristics and particle dynamics in a MEMS-based microfluidic system under varying magnetic field strengths and iron oxide nanoparticle concentrations. Eigen frequency analysis revealed distinct vibrational modes, including flexural modes with resonance frequencies ranging from 2.0283&#xa0;kHz to 17.659&#xa0;kHz, and a torsional mode at 16.536&#xa0;kHz with higher quality factors observed across all modes. Increasing the iron oxide concentration from 50 ppm to 300 ppm led to a substantial decrease in resonance frequency (from approximately 24&#xa0;kHz to 12&#xa0;kHz) due to mass-loading effects, while the quality factor rose significantly, surpassing 27,100, driven by enhanced magnetic interactions and reduced energy dissipation. Additionally, simulations under magnetic flux densities from 1 T to 4 T showed that increasing field strength altered both the magnetic scalar potential distribution and the device’s resonance response. Particle tracing confirmed strong magnetophoretic behavior of iron oxide particles, which aligned effectively with magnetic field gradients, unlike nonmagnetic blood particles. These findings provide critical insights for optimizing the design and performance of MEMS-based magnetic microfluidic sensors in biomedical applications.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Finite element analysis of a microfluidic MEMS sensor for magnetophoretic blood flow control

  • 期刊论文

  • 发表日期：

    2026年3月11日

查看全文
  • Adham Aleid,
  • Rawan Alzahrani,
  • Joury Zakri,
  • Muthumareeswaran Muthuramamoorthy,
  • Shofiur Rahman,
  • Mahmoud Al-Gawati,
  • Abdullah N. Alodhayb

摘要

The integration of MEMS resonators with microfluidic channels holds great promise for enhancing sensitivity in biomedical sensing applications. However, achieving precise control and accurate prediction of device behavior in magnetically responsive biological fluids remains a significant challenge. This study addresses this limitation through finite element simulations conducted in COMSOL Multiphysics to investigate resonance characteristics and particle dynamics in a MEMS-based microfluidic system under varying magnetic field strengths and iron oxide nanoparticle concentrations. Eigen frequency analysis revealed distinct vibrational modes, including flexural modes with resonance frequencies ranging from 2.0283 kHz to 17.659 kHz, and a torsional mode at 16.536 kHz with higher quality factors observed across all modes. Increasing the iron oxide concentration from 50 ppm to 300 ppm led to a substantial decrease in resonance frequency (from approximately 24 kHz to 12 kHz) due to mass-loading effects, while the quality factor rose significantly, surpassing 27,100, driven by enhanced magnetic interactions and reduced energy dissipation. Additionally, simulations under magnetic flux densities from 1 T to 4 T showed that increasing field strength altered both the magnetic scalar potential distribution and the device’s resonance response. Particle tracing confirmed strong magnetophoretic behavior of iron oxide particles, which aligned effectively with magnetic field gradients, unlike nonmagnetic blood particles. These findings provide critical insights for optimizing the design and performance of MEMS-based magnetic microfluidic sensors in biomedical applications.