Bioelectronic interfaces for molecular quantification

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Abstract/Contents

Abstract
The rapid advances of Moore's law have empowered electronics to solve many of modern society's problems, with healthcare emerging as a promising new application for highly miniaturized instrumentation. More specifically, biomolecular analysis techniques used in clinical settings often rely on expensive benchtop instruments and skilled technicians to carry out diagnostic assays, limiting access to biomolecular data. Indeed, it would be preferable to develop molecular diagnostics that can be deployed in the field. Hoping to leverage the potential for integration offered by CMOS processing, there has been much interest in developing biosensors that can transduce molecular concentrations in electrical signals. However, outside of the continuous glucose monitor and a few others, developing these technologies for a broad spectrum of molecular targets has proven challenging. In this dissertation, I explore some candidate technologies for a broad bioelectronic molecular sensing platform. First, I discuss direct electrical detection of biomolecules and identify the fundamental sensitivity challenge they face, the electric double layer, as well as a few strategies to overcome it. I next describe the development of a custom molecular-electronic platform for field-effect biosensing and demonstrate some practical challenges facing this class of biosensors. After that, I apply some of lessons of direct electrical detection to a different, more robust biosensing technology: electrochemical aptamers. In the first project, I demonstrate how the sensitivity of an electrochemical aptamer can be enhanced by engineering the electric double layer. In the second project, I describe how further engineering of the double layer can be used to endow cross-reactive electrochemical aptamers with specificity. As a whole, these studies provide a new perspective on biomolecular- electronic transduction and make progress towards solving developing broadly useful bioelectronic molecular diagnostic platforms.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Kesler, Vladimir
Degree supervisor Murmann, Boris
Thesis advisor Murmann, Boris
Thesis advisor Howe, Roger Thomas
Thesis advisor Soh, H. Tom
Degree committee member Howe, Roger Thomas
Degree committee member Soh, H. Tom
Associated with Stanford University, Department of Electrical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Vladimir Kesler.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/fz837ms9068

Access conditions

Copyright
© 2022 by Vladimir Kesler
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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