AC/DC differential bridge based solution-electrode interfacial capacitance biosensor, for field-deployable real-time and low-cost detection of MCLR in drinking water.

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2019-01-01
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Neshani, Sara
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Nathan M. Neihart
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Electrical and Computer Engineering

The Department of Electrical and Computer Engineering (ECpE) contains two focuses. The focus on Electrical Engineering teaches students in the fields of control systems, electromagnetics and non-destructive evaluation, microelectronics, electric power & energy systems, and the like. The Computer Engineering focus teaches in the fields of software systems, embedded systems, networking, information security, computer architecture, etc.

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The Department of Electrical Engineering was formed in 1909 from the division of the Department of Physics and Electrical Engineering. In 1985 its name changed to Department of Electrical Engineering and Computer Engineering. In 1995 it became the Department of Electrical and Computer Engineering.

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1909-present

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  • Department of Electrical Engineering (1909-1985)
  • Department of Electrical Engineering and Computer Engineering (1985-1995)

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Electrical and Computer Engineering
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.

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Sun Dec 01 00:00:00 UTC 2019