Degree Type

Dissertation

Date of Award

2019

Degree Name

Doctor of Philosophy

Department

Electrical and Computer Engineering

Major

Electrical Engineering

First Advisor

Nathan M. Neihart

Abstract

Microcystin-LR (MCLR, one of the most toxic and commonly found products of cyanobacteria in freshwater resources, threatens human health and the livestock. WHO has set a standard limit of 1 μg⁄l for the concentration of MCLR in drinking water. The lab-based, specialized water quality monitoring tests for this purpose are not only expensive but also slow and require sample preparation and transportation from distant sites. Therefore, there is a need for a handheld, field-deployable and low-cost biosensor to make frequent water quality monitoring easier.

Many field-deployable biosensors with applications in environmental monitoring and healthcare where concentrations of interest are on the order of μg/l and fewer face challenges in achieving high dynamic range and lower detection resolution due to the resultant small fractional change in the transducer characteristics. Additionally, non-faradaic label-free biosensors for MCLR type applications face difficulty in real-time data analysis due to signal drift, non-specific binding of non-target particles and last but not least noise coming from both transducer and readout electronics.

This dissertation is mainly focused on utilizing electronic circuit methods to fill the gap of reading small responses from the bio-transducer with sufficient accuracy and sensitivity. Differential bridge based transduction as sensitivity booster and careful design of amplification unit and real-time signal processing capable of extracting signal information buried in noise are part of the presented work that achieves 8-bit resolution within a 1% full-scale transducer fractional capacitive change.

Copyright Owner

Sara Neshani

Language

en

File Format

application/pdf

File Size

116 pages

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