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  <title><![CDATA[MS Defense by Avik Banerjee ]]></title>
  <body><![CDATA[<p>Avik Banerjee<br>[Advisor: Prof. Carr]<br>will defend a master’s thesis entitled,<br>ADVANCING NANOGAP TECHNOLOGY MINIATURIZATION AND AUTOMATION FOR SINGLE-MOLECULE DETECTION BEYOND&nbsp;<br>EARTH<br>On<br>Wednesday, April 16 at 3:00 p.m.<br>Weber Space Science &amp; Technology Building 304 Conf Room<br>Abstract</p><p>A central objective of planetary exploration is the search for signs of life or prebiotic chemistry&nbsp;<br>beyond Earth, through the detection of biomolecular signatures on a range of potentially habitable&nbsp;<br>environments such as icy moons, planets, and small bodies like asteroids. Building on previous&nbsp;<br>iterations, this thesis presents advances to the Electronic Life-Detection Instrument for&nbsp;<br>Enceladus/Europa (ELIE), designed to detect amino acids, RNA, DNA, and other charged polymers&nbsp;<br>indicative of life through nanogap-based sensing. The latest iteration, ELIE 3.0, features&nbsp;<br>downsized subsystems, enhanced capabilities, and a transition to integrated hardware. Key&nbsp;<br>optimizations include consolidating a multi-amplifier design into a single Low Noise Amplifier&nbsp;<br>(LNA) to reduce noise and system complexity. This required a detailed analysis of electrical noise&nbsp;<br>and bias sources, leading to targeted mitigation strategies that improved measurement fidelity&nbsp;<br>across various current ranges and sampling rates. In parallel, ELIE's software evolved from a basic&nbsp;<br>command-line interface to a full-featured graphical user interface (GUI) with real-time logging,&nbsp;<br>multithreading, and structured HDF5 data recording. The GUI provides intuitive control over system&nbsp;<br>diagnostics and data acquisition through responsive, modular dialog boxes, leveraging techniques&nbsp;<br>such as multithreading and asynchronous communication between worker threads. The GUI also features&nbsp;<br>automated routines for gap formation, though automated sample delivery and electrophoresis&nbsp;<br>integration remain future tasks. Pending future integration, a robust manual procedure was&nbsp;<br>developed and validated, demonstrating successful preliminary detection of amino acids deposited&nbsp;<br>onto the nanogap chip. Detection performance was evaluated using adaptive thresholding to account&nbsp;<br>for baseline current fluctuations, alongside statistical methods designed to isolate signal events&nbsp;<br>reliably.<br>Lastly, heat-sterilization tests were conducted to assess the nanogap chip’s resilience for future&nbsp;<br>missions. These developments advance ELIE beyond early TRL 2, laying the groundwork for maturation&nbsp;<br>toward higher readiness levels.<br>Committee<br>• &nbsp;Prof. Christopher Carr – School of Aerospace Engineering (advisor)<br>• &nbsp;Prof. Masatoshi (Toshi) Hirabayashi – School of Aerospace Engineering<br>• &nbsp;Prof. Brian Gunter – School of Aerospace Engineering<br>&nbsp;</p>]]></body>
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