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  4. Microsystems For Real-Time Neurochemical Monitoring Using Fast-Scan Cyclic Voltammetry

Microsystems For Real-Time Neurochemical Monitoring Using Fast-Scan Cyclic Voltammetry

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cid2.pdf (1.93 MB)
Permanent Link(s)
https://hdl.handle.net/1813/38778
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Cornell Theses and Dissertations
Author
Dorta Quinones, Carlos
Abstract

Dopamine is an important neurotransmitter that plays a fundamental role in motor control and reward-seeking behaviors. Electrochemical detection of dopamine is accomplished through fast-scan cyclic voltammetry (FSCV), a neurochemical monitoring technique that can resolve rapid changes in dopamine concentration with subsecond temporal resolution and high selectivity. This dissertation describes the development of several microsystems for real-time monitoring of dopamine levels using FSCV, including a wide-range analog-todigital converter (ADC), a fully-integrated low-power wireless sensing system, and a scalable electrochemical detector array. The work described here tackles some of the challenges that exist in the field of neuroscience to advance two important applications: long-term in vivo monitoring in freely-behaving animals using carbon-fiber microelectrodes (CFMs) and high-throughput drug screening using planar microelectrode arrays (MEAs). In particular, a low-power two-step cyclic ADC for wide-range acquisition of neurochemical signals is demonstrated. The system was validated by recording flow-injection of 2-[MICRO SIGN]M dopamine at a CFM using 300-V/s FSCV. A 30-[MICRO SIGN]W wireless microsystem for real-time in vivo monitoring and a lightweight miniaturized device that can enable long-term behavioral studies in freely-behaving animals are also demonstrated. On-chip integration of analog background subtraction and UWB telemetry yields a 32-fold increase in resolution versus stan- dard Nyquist-rate conversion alone, near a four-fold decrease in the volume of uplink data versus single-bit, third-order, delta-sigma modulation, and more than a 20-fold reduction in transmit power versus narrowband transmission at low data rates. The system was validated by wirelessly recording flow-injection of dopamine with concentrations in the range of 250 nM to 2 [MICRO SIGN]M at a CFM using 300-V/s FSCV. Measurement results indicate an input-referred current noise of 92 pArms and an input current range of ±430 nA at a conversion rate of 10 kHz. A scalable 32 x 32 (1,024-electrode) CMOS VLSI potentiostat array for highthroughput drug screening applications is also presented. The core of the array is a high-precision bidirectional-current detector that enables both amperometry and FSCV using MEAs for massively-parallel detection of transmitter release as well as electrode impedance characterization.

Date Issued
2014-08-18
Keywords
neurochemical monitoring
•
fast-scan cyclic voltammetry
•
dopamine detection
Committee Chair
Apsel, Alyssa B.
Committee Member
Molnar, Alyosha Christopher
Lindau, Manfred
Degree Discipline
Electrical Engineering
Degree Name
Ph. D., Electrical Engineering
Degree Level
Doctor of Philosophy
Type
dissertation or thesis

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