Multi-physics simulations and experimental comparisons for the optical and electrical forces acting on a silica nanoparticle trapped by a double-nanohole plasmonic nanopore sensor

IF 5.4 Q1 CHEMISTRY, ANALYTICAL Sensing and Bio-Sensing Research Pub Date : 2023-08-01 DOI:10.1016/j.sbsr.2023.100581
Homayoun Asadzadeh , Scott Renkes , MinJun Kim , George Alexandrakis
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引用次数: 1

Abstract

Bimodal optical-electrical data generated when a 20 nm diameter silica (SiO2) nanoparticle was trapped by a plasmonic nanopore sensor were simulated using Multiphysics COMSOL and compared with sensor measurements for closely matching experimental parameters. The nanosensor, employed self-induced back action (SIBA) to optically trap nanoparticles in the center of a double nanohole (DNH) structure on top a solid-state nanopores (ssNP). This SIBA actuated nanopore electrophoresis (SANE) sensor enables simultaneous capture of optical and electrical data generated by several underlying forces acting on the trapped SiO2 nanoparticle: plasmonic optical trapping, electroosmosis, electrophoresis, viscous drag, and heat conduction forces. The Multiphysics simulations enabled dissecting the relative contributions of those forces acting on the nanoparticle as a function of its location above and through the sensor's ssNP. Comparisons between simulations and experiments demonstrated qualitative similarities in the optical and electrical time-series data generated as the nanoparticle entered and exited from the SANE sensor. These experimental parameter-matched simulations indicated that the competition between optical and electrical forces shifted the trapping equilibrium position close to the top opening of the ssNP, relative to the optical trapping force maximum that was located several nm above. The experimentally estimated minimum for the optical force needed to trap a SiO2 nanoparticle was consistent with corresponding simulation predictions of optical-electrical force balance. The comparison of Multiphysics simulations with experiments improves our understanding of the interplay between optical and electrical forces as a function of nanoparticle position across this plasmonic nanopore sensor.

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双纳米孔等离子体纳米孔传感器捕获二氧化硅纳米颗粒的光和电作用力的多物理模拟和实验比较
利用COMSOL软件模拟了等离子体纳米孔传感器捕获直径为20 nm的二氧化硅(SiO2)纳米颗粒时产生的双峰光电数据,并与传感器测量结果进行了比较,以确定实验参数的高度匹配。该纳米传感器利用自诱导反作用(SIBA)将纳米颗粒捕获在固态纳米孔(ssNP)上的双纳米孔(DNH)结构的中心。这种SIBA驱动的纳米孔电泳(SANE)传感器能够同时捕获由作用在被捕获的SiO2纳米颗粒上的几种潜在力产生的光学和电学数据:等离子体光学捕获、电渗透、电泳、粘滞阻力和热传导力。多物理场模拟可以解析作用在纳米颗粒上的力的相对贡献,作为其上方位置和通过传感器的sssnp的函数。仿真和实验之间的比较表明,纳米颗粒进入和离开SANE传感器时产生的光学和电学时间序列数据具有质的相似性。这些实验参数匹配的模拟表明,相对于光捕获力最大值位于几nm以上,光和电之间的竞争使捕获平衡位置靠近ssp的顶部开口。实验估计的捕获SiO2纳米颗粒所需的最小光力与相应的光电力平衡的模拟预测一致。多物理场模拟与实验的比较提高了我们对光和电作用力之间的相互作用的理解,这是纳米粒子在等离子体纳米孔传感器上位置的函数。
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来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
期刊介绍: Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.
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