Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing
Name
Xue-mxue-PhD-EECS-2022-thesis.pdf
Description
Thesis PDF
Size
34.62 MB
Format
Adobe PDF
Checksum (MD5)
52647bb8b1bc90e3d80fe1818c6d6b02
Author(s)
Xue, Mantian
Advisor(s)
Palacios, Tomás
Date Issued
February 2023
Publisher
Massachusetts Institute of Technology
Abstract
Graphene and other two-dimensional materials have garnered significant attention as potential biochemical and chemical sensors due to their unique physical and electrical properties. However, their use has been limited by significant device-to-device variation resulting from non-uniform synthesis and fabrication processes. To overcome this challenge, we have developed a bioelectronic sensing platform comprising thousands of integrated sensing units, custom-designed high-speed readout electronics, and machine-learning-based inference. This platform has demonstrated reconfigurable sensing capability in both the liquid and gas phases, with highly sensitive, reversible, and real-time responses to potassium, sodium, and calcium ions in complexed solutions. Additionally, using a biomimetic "dual-monolayer" construct, we have observed nature-like specific interactions with the CXCL12 ligand and HIV-coat glycoprotein in 100% human serum. Furthermore, the platform is capable of providing highly distinguishable fingerprints of relevant biomarkers in breath. Machine learning models trained on multi-dimensional data collected by the multiplexed sensor array is used to enhance the sensing system’s functionality. In summary, our bioelectronic sensing platform represents an end-to-end, versatile, robust, and high-performing solution for the detection of biochemical species, with potential applications in health monitoring and disease diagnosis.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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