Suppr超能文献

用于实时监测汗液生物标志物的微流控免疫传感器的3D模拟驱动设计

3D Simulation-Driven Design of a Microfluidic Immunosensor for Real-Time Monitoring of Sweat Biomarkers.

作者信息

Jebari Nessrine, Dufour-Gergam Elisabeth, Ammar Mehdi

机构信息

Center for Nanosciences and Nanotechnology (C2N), CNRS UMR 9001, University of Paris-Saclay, 91120 Palaiseau, France.

出版信息

Micromachines (Basel). 2024 Jul 23;15(8):936. doi: 10.3390/mi15080936.

Abstract

This study presents the design and comprehensive 3D multiphysics simulation of a novel microfluidic immunosensor for non-invasive, real-time detection of pro-inflammatory biomarkers in human sweat. The patch-like device integrates magnetofluidic manipulation of antibody-functionalized magnetic nanoparticles (MNPs) with direct-field capacitive sensing (DF-CS). This unique combination enhances sensitivity, reduces parasitic capacitance, and enables a more compact design compared to traditional fringing-field approaches. A comprehensive 3D multiphysics simulation of the device, performed using COMSOL Multiphysics, demonstrates its operating principle by analyzing the sensor's response to changes in the dielectric properties of the medium due to the presence of magnetic nanoparticles. The simulation reveals a sensitivity of 42.48% at 85% MNP occupancy within the detection zone, highlighting the sensor's ability to detect variations in MNP concentration, and thus indirectly infer biomarker levels, with high precision. This innovative integration of magnetofluidic manipulation and DF-CS offers a promising new paradigm for continuous, non-invasive health monitoring, with potential applications in point-of-care diagnostics, personalized medicine, and preventive healthcare.

摘要

本研究展示了一种新型微流控免疫传感器的设计及其全面的三维多物理场模拟,该传感器用于非侵入式实时检测人体汗液中的促炎生物标志物。这种贴片式装置将抗体功能化磁性纳米颗粒(MNP)的磁流体操控与直接场电容传感(DF-CS)相结合。与传统边缘场方法相比,这种独特的组合提高了灵敏度,降低了寄生电容,并实现了更紧凑的设计。使用COMSOL Multiphysics对该装置进行的全面三维多物理场模拟,通过分析传感器对由于磁性纳米颗粒的存在而导致的介质介电特性变化的响应,展示了其工作原理。模拟结果显示,在检测区域内MNP占有率为85%时,灵敏度为42.48%,突出了该传感器高精度检测MNP浓度变化从而间接推断生物标志物水平的能力。磁流体操控与DF-CS的这种创新整合为连续、非侵入式健康监测提供了一种有前景的新范例,在即时诊断、个性化医疗和预防性医疗保健中具有潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/152f/11356042/753d486a9bba/micromachines-15-00936-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验