Portable giant magnetoresistive sensor system for quantitative point-of-care health diagnostics
Abstract/Contents
- Abstract
- This dissertation describes the research and development of a portable, point-of-care molecular biomarker sensor system using the Giant Magnetoresistive (GMR) sensor that aims to combine the sensitivity of the clinical lab test and the practicality of the rapid strip test. A portable, quantitative immunoassay platform based on the GMR sensor technology is introduced. The platform only requires one-step user involvement. With the one-step detection scheme, quantitative test results can be obtained in less than 15 minutes after sample insertion. The portable GMR system is affordable and capable of detecting multiple protein biomarkers from one sample, enabling a wide array of diagnostics to be performed simultaneously. In the further development, a portable automated assay system on the GMR sensor system has been developed to automate assay steps to bring multistep immunoassay tests at the point-of-care, anywhere in non-clinical settings. A multiplexed hepatitis B virus biomarker diagnostic test for diagnosing the viral infection status has also been developed in conjunction with the automated assay system. Comparison between the automated multiplexed hepatitis B testing on the GMR sensor system and the commercial clinical lab testing is performed, and the results show excellent agreements between the results obtained by the two different sensor platforms. In conclusion, this dissertation describes novel devices to bring the clinical laboratory testing to reach more people and areas using the GMR sensor system by making the device portable, the process simpler and faster, and the cost affordable.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Gani, Adi Wijaya |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Wang, Shan X |
| Thesis advisor | Wang, Shan X |
| Thesis advisor | So, Samuel |
| Thesis advisor | De la Zerda, Adam |
| Advisor | So, Samuel |
| Advisor | De la Zerda, Adam |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Adi Wijaya Gani. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Adi Wijaya Gani
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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