Predicting the retention time of microparticles in electrokinetic migration†

IF 3.3 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Analyst Pub Date : 2025-07-10 DOI:10.1039/D5AN00515A
Alaleh Vaghef-Koodehi, Victor H. Perez-Gonzalez and Blanca H. Lapizco-Encinas
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Abstract

Insulator based electrokinetic (iEK) devices have emerged as powerful tools for analyzing both nano- and microparticles due to their simplicity, robustness, and ability to integrate linear and nonlinear electrokinetic (EK) effects into a single platform. Recent studies emphasize the importance of nonlinear electrophoresis (EPNL) in particle analysis, for performing separations based on size, shape, and charge differences. Despite these advancements, the development of an empirical equation for predicting particle retention times in iEK-based systems that incorporates EPNL remains limited. This study presents a method for predicting particle retention time in iEK systems in scenarios where the linear EK regime allows for particles migration, while also incorporating EPNL and accounting for particle characteristics, applied electric fields, and microdevice features. Experiments were conducted using eight reference microparticles, grouped into four pairs with similar sizes (3.6 μm to 11.7 μm) but distinct zeta potentials (∼−20 mV and ∼−30 mV), across three distinct iEK microdevices: one with asymmetrical oval-diamond posts, one with symmetrical oval posts, and one postless design. Experimental retention times (tR,e) were measured at applied voltages ranging from 400 V to 1450 V. Using the collected tR,e data, three empirical equations were developed to describe particle velocity, incorporating both linear and nonlinear velocities. Validation with two control particles demonstrated prediction errors below 24% in all devices. These findings underscore the potential of the empirical equations in predicting particle behavior in iEK systems.

Abstract Image

预测微粒在电动迁移中的滞留时间。
基于绝缘体的电动力学(iEK)设备已经成为分析纳米和微粒的强大工具,因为它们简单,坚固,并且能够将线性和非线性电动力学(EK)效应集成到单个平台中。最近的研究强调了非线性电泳(EPNL)在颗粒分析中的重要性,用于根据大小、形状和电荷差异进行分离。尽管取得了这些进步,但在结合EPNL的基于ie的系统中预测颗粒保留时间的经验方程的发展仍然有限。本研究提出了一种方法,在线性EK制度允许粒子迁移的情况下,预测iEK系统中的粒子保留时间,同时还结合EPNL并考虑粒子特性、外加电场和微器件特性。实验使用了8个参考微粒,它们被分成4对,大小相似(3.6 μm至11.7 μm),但ζ电位不同(~ -20 mV和~ -30 mV),在三种不同的iEK微器件上进行:一种是不对称的椭圆形-钻石柱,一种是对称的椭圆形柱,一种是无柱设计。实验保留时间(tR,e)在施加电压400 V至1450 V范围内测量。利用收集到的tR,e数据,建立了三个经验方程来描述粒子速度,包括线性和非线性速度。两个控制粒子的验证表明,所有设备的预测误差低于24%。这些发现强调了经验方程在预测iEK系统中粒子行为方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
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