Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2008.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2009
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/46526 |
| _version_ | 1826200713739370496 |
|---|---|
| author | Tang, Amy Yuen-Lee |
| author2 | Roger G. Mark and Nirmal Keshava. |
| author_facet | Roger G. Mark and Nirmal Keshava. Tang, Amy Yuen-Lee |
| author_sort | Tang, Amy Yuen-Lee |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2008. |
| first_indexed | 2024-09-23T11:40:41Z |
| format | Thesis |
| id | mit-1721.1/46526 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:40:41Z |
| publishDate | 2009 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/465262022-01-13T07:54:29Z Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath Alignment, feature stability and algorithms of a differential mobility spectrometer for the discovery of tuberculosis biomarkers DMS for the discovery of TB biomarkers in human breath Tang, Amy Yuen-Lee Roger G. Mark and Nirmal Keshava. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2008. Includes bibliographical references (p. 71-73). Biomarkers have become a growing field for disease research and diagnostics. For the infectious, deadly disease, tuberculosis (TB), the discovery of effective TB biomarkers in the human breath may enable the development of a cheap, fast, and accurate TB diagnostic to fight against this epidemic. The Charles Stark Draper Laboratory is employing a differential mobility spectrometer (DMS), in order to identify key biomarkers for TB. Biomarker candidates appear as peaks in the DMS sensor data at particular retention times and DC compensation voltages. Possible biomarkers are identified through well-known classification techniques, K-nearest neighbors and support vector machines. This research is focused on the development of a toolbox that will aid in the discovery and in-depth understanding of the TB breath biomarkers. This thesis demonstrates the algorithms and capabilities of peak quantification, characterization, RIP-based alignment, and siloxane-based alignment on protein and bacterial sensor data, including those from initial Mycobacterium tuberculosis samples. The results show that siloxane-based alignment with high-intensity peak landmarks effectively increase DMS peak stabilities and signal-to-noise ratios. These new tools will be important for the analysis of specific TB biomarker candidates as our group at the Charles Stark Draper Laboratory receive more samples of M. tuberculosis. by Amy Yuen-Lee Tang. M.Eng. 2009-08-26T16:42:30Z 2009-08-26T16:42:30Z 2007 2008 Thesis http://hdl.handle.net/1721.1/46526 414019729 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 73 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Tang, Amy Yuen-Lee Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath |
| title | Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath |
| title_full | Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath |
| title_fullStr | Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath |
| title_full_unstemmed | Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath |
| title_short | Analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of TB biomarkers in human breath |
| title_sort | analysis of peak characterization and data alignment of a differential mobility spectrometer for the discovery of tb biomarkers in human breath |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/46526 |
| work_keys_str_mv | AT tangamyyuenlee analysisofpeakcharacterizationanddataalignmentofadifferentialmobilityspectrometerforthediscoveryoftbbiomarkersinhumanbreath AT tangamyyuenlee alignmentfeaturestabilityandalgorithmsofadifferentialmobilityspectrometerforthediscoveryoftuberculosisbiomarkers AT tangamyyuenlee dmsforthediscoveryoftbbiomarkersinhumanbreath |