Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing
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 an...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150232 |
| _version_ | 1811076068802560000 |
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| author | Xue, Mantian |
| author2 | Palacios, Tomás |
| author_facet | Palacios, Tomás Xue, Mantian |
| author_sort | Xue, Mantian |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:15:37Z |
| format | Thesis |
| id | mit-1721.1/150232 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:15:37Z |
| publishDate | 2023 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1502322023-04-01T03:48:04Z Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing Xue, Mantian Palacios, Tomás Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 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. Ph.D. 2023-03-31T14:41:18Z 2023-03-31T14:41:18Z 2023-02 2023-02-28T14:39:30.783Z Thesis https://hdl.handle.net/1721.1/150232 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Xue, Mantian Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing |
| title | Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing |
| title_full | Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing |
| title_fullStr | Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing |
| title_full_unstemmed | Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing |
| title_short | Graphene-based Biochemical Sensing Array: Materials, System Design and Data Processing |
| title_sort | graphene based biochemical sensing array materials system design and data processing |
| url | https://hdl.handle.net/1721.1/150232 |
| work_keys_str_mv | AT xuemantian graphenebasedbiochemicalsensingarraymaterialssystemdesignanddataprocessing |