Technical Papers
Jun 20, 2018

Hit or Miss: Sensor Design via Scaled Collision Theory

Publication: Journal of Engineering Mechanics
Volume 144, Issue 9

Abstract

The working characteristics of targeted surface sensing systems—such as fluid velocity and concentration limits—have mostly been explored through experimental trials. Here we develop a novel scaled collision theory to facilitate the experimental screening process in determining the optimal system parameters specific to sensing discrete molecular or particulate targets with low concentration in a bulk fluid system, such as biomarkers, pollutants, or explosives. A simple fluid sensor system was developed and subjected to steady-state Couette flow to explore key parameters. Validated by 177 particle-based coarse-grain simulations, this theory indicates that the chance of successful pairing events between molecular markers and its corresponding targets—or hits—is determined by their concentrations, binding affinity or energy, and more importantly the flow velocity. Scaled collision theory reveals great potential to be used as a system design tool for a wide spectrum of sensing applications, ranging from water and air quality monitoring to biomedical detection and disease diagnostics.

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Acknowledgments

W.Z., S.N., M.W., and S.W.C. acknowledge funding from Northeastern University’s (NEU’s) FY15 TIER 1 Interdisciplinary Research Seed Grant. S.W.C. acknowledges generous support from NEU’s Civil and Environmental Engineering (CEE) Department. The calculations and the analysis were carried out using a parallel Linux cluster at NEU’s Laboratory for Nanotechnology In Civil Engineering (NICE). Visualization has been carried out using the VMD visualization package.

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Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 144Issue 9September 2018

History

Received: Nov 8, 2017
Accepted: Jan 31, 2018
Published online: Jun 20, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 20, 2018

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Authors

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Wenjun Zhang, S.M.ASCE
Laboratory for Nanotechnology in Civil Engineering, Sensor Technologies Lab, College of Engineering, Northeastern Univ., Boston, MA 02115.
Sheyda Nazarian, S.M.ASCE
Laboratory for Nanotechnology in Civil Engineering, Sensor Technologies Lab, College of Engineering, Northeastern Univ., Boston, MA 02115.
Ming Wang, M.ASCE
Sensor Technologies Lab, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA 02115.
Steve W. Cranford, M.ASCE [email protected]
Laboratory for Nanotechnology in Civil Engineering, Dept. of Civil and Environmental Engineering, Northeastern Univ., Boston, MA 02115 (corresponding author). Email: [email protected]

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