Xu, Yiwen
(2012)
Identification of VOC Biomarkers of Breast Cancer Using Single Nanowire Array Sensor with Palladium, Polypyrrole and Zinc Oxide Nanowires.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Breast Cancer, as the second most common cancer among women in the United States, has attracted specific attention for the research of diagnostic screening test, since the most common diagnostic methods for Breast Cancer, including diagnostic mammogram, magnetic resonance imaging and breast ultrasound, perform high false positive and negative rates and involve high risk of getting cancer during the diagnostic screening test. Breath analysis, as an accurate and non-invasive diagnosis method, is a promising replacement technique to perform better diagnostic result using the Volatile Organic Compounds (VOC) biomarkers of Breast Cancer, and nanowire as a one dimensional nanostructure with high sensitivity, reproducibility and accuracy in chemical and biomolecular sensing can be developed as an excellent sensing device for the detection of the VOC biomarkers of Breast Cancer for real-time breath sensing analysis.
In this work, Palladium, Polypyrrole and Zinc Oxide nanowires, fabricated using electrochemical deposition method, perform quick response and high sensitivity to the four VOC biomarkers of Breast Cancer, including heptanal (Hep), 1-phenyl-ethanone (Ace), isopropyl myristate (IM), and 2-propanol. The lowest sensing limits of the single nanowires for Hep, Ace, IM and 2-propanol have achieved 8.982ppm, 798ppb, 134ppm and 129.5ppm, which are extremely low concentration approaching the concentrate level of these VOC biomarkers in human breath. The sensitivities for the sensing limits are around 1% which indicates the great
IDENTIFICATION OF VOC BIOMARKERS OF BREAST CANCER USING SINGLE NANOWIRE ARRAY SENSOR WITH PALLADIUM, POLYPYRROLE AND ZINC OXIDE NANOWIRES
Yiwen Xu, M.S.
University of Pittsburgh, 2012
v
sensitivity of these single nanowires. The detection period applied for the single nanowire sensing test to achieve the maximum conductance change is 200 seconds, and the recovery time consumed after each detection period is less than 200 seconds which illustrate the excellent reproducibility of the single nanowires and the capability for the real-time sensing test of breath analysis. The properties and sensing mechanisms of these single nanowires will also be discussed in detail.
By fabricating Palladium, Polypyrrole and Zinc Oxide nanowires in parallel on a single chip, a single nanowire array sensor is also developed. With the sensing test using the multi-channel simultaneous sensing system, the single nanowire array sensor performs excellent discrimination between four VOC biomarkers by using the principal component analysis (PCA). The smell prints for the four VOC biomarkers are completely separated in 2-D and 3-D PCA plots, which prove the excellent specificity of this single nanowire array sensor and indicates a bright future of the application of this single nanowire array sensor for the actual breath diagnostic sensing test for Breast Cancer.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
|
ETD Committee: |
|
Date: |
4 June 2012 |
Date Type: |
Publication |
Defense Date: |
19 March 2012 |
Approval Date: |
4 June 2012 |
Submission Date: |
26 March 2012 |
Access Restriction: |
5 year -- Restrict access to University of Pittsburgh for a period of 5 years. |
Number of Pages: |
52 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Electrical Engineering |
Degree: |
MSEE - Master of Science in Electrical Engineering |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
Breast Cancer, VOC biomarkers, Breath Analysis, Single nanowire, Single nanowire array sensor, PCA |
Date Deposited: |
04 Jun 2012 17:49 |
Last Modified: |
04 Jun 2017 05:15 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/11569 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
|
View Item |