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dc.contributor.authorDorta Quinones, Carlosen_US
dc.date.accessioned2015-01-07T20:57:07Z
dc.date.available2019-08-19T06:01:03Z
dc.date.issued2014-08-18en_US
dc.identifier.otherbibid: 8793274
dc.identifier.urihttps://hdl.handle.net/1813/38778
dc.description.abstractDopamine 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.en_US
dc.language.isoen_USen_US
dc.subjectneurochemical monitoringen_US
dc.subjectfast-scan cyclic voltammetryen_US
dc.subjectdopamine detectionen_US
dc.titleMicrosystems For Real-Time Neurochemical Monitoring Using Fast-Scan Cyclic Voltammetryen_US
dc.typedissertation or thesisen_US
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorCornell Universityen_US
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh. D., Electrical Engineering
dc.contributor.chairApsel, Alyssa B.en_US
dc.contributor.committeeMemberMolnar, Alyosha Christopheren_US
dc.contributor.committeeMemberLindau, Manfreden_US


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