Campus Units

Electrical and Computer Engineering, Mechanical Engineering, Plant Sciences Institute

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

2021

Journal or Book Title

ChemRxiv

DOI

10.26434/chemrxiv.14714895.v1

Abstract

Monitoring electrochemical impedance changes across an asymmetrically functionalized nanochannel array provides an attractive mechanism for chemical and biological sensors. Specific binding of the receptor molecules with their analyte leads to changes in charge distribution on the nanochannel surfaces modifying the ionic transport across them. The magnitude of impedance change due to receptor/ligand binding or sensor sensitivity depends on a large number of parameters and consequently, identification of parameters that result in sensitive and specific sensing performance is extremely tedious and cost-intensive. We rely on a ’virtual EIS’ procedure that models the transient ionic current due to a step-change in voltage to determine the frequency dependent impedance of an asymmetrically functionalized nanochannel. This procedure is used to predict the impedance changes due to the specific binding of thrombin on nanochannel surfaces. Surface charge changes associated with the binding of thrombin protein on the aptamer coated surface result in a decrease of the membrane impedance and computational results suggest that a reduction in the ionic strength of the electrolyte leads to an increase in the magnitude of binding induced impedance reduction. Sensing experiments with thrombin binding aptamer are performed to evaluate the trends from the high-throughput computations. The agreement between model predictions and experimental observations suggests that the present modeling approach may be utilized to computationally evaluate sensor performance for a range of parameters and rapidly identify sensor configurations that enable point-of-care diagnostic devices with improved sensitivities.

Comments

This is a pre-print of the article Devarakonda, Sivaranjani, Sungu Kim, Baskar Ganapathysubramanian, and Pranav Shrotriya. "Designing Asymmetrically Modified Nanochannel Sensors Using Virtual EIS." (2021). DOI: 10.26434/chemrxiv.14714895.v1. Posted with permission.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Published Version

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