Title

Exploring the Use of Carbon Nanotubes to Develop Breath Biomarkers

Author(s)

Shriya Kapoor

School Name

Spring Valley High School

Grade Level

10th Grade

Presentation Topic

Engineering

Presentation Type

Non-Mentored

Abstract

Common pulmonary diagnostic tests, though inefficient, expensive, and labored, have remained unchanged for several years. Developing an all-in-one sensor based technology to detect organic composition of exhaled breath can serve as a biomarker for prediction and early diagnosis of pulmonary diseases, as unique biomarker conditions of various pulmonary diseases. Carbon nanotubes (CNT's), used for their thermal and electrical properties, were hypothesized to be used as a thermistor and humidity sensor for: a) understanding the responsiveness of sensors towards the breathing cycle of each subject and b) evaluating characteristics of inhaled and exhaled breath temperature and relative humidity, including peak to valley values, amplitude, and frequency. A LabVIEW data acquisition system (DAQ) was developed for Arduino microcontroller. Using three pairs of CNT sensors, tests were performed to analyze the breathing pattern of two participants under three physiological conditions. The first part of study validated that the sensors were able to accurately detect the components of the breathing cycle (e.g., inhalation, exhalation, and pause). There was no statistically significant difference in the temperature frequency (breaths per minute) F(2,54) = 0.26, p >0.05 for 1st participant and F(2,54) = 0.01, p >0.05 for 2nd participant's breathing pattern for a given sensor pair. Lastly, after physical exercise, each participant showed increased breath rate with increased heart rate. As a next step, signal from the humidity sensor and a possible correlation between amplitude and frequency to the volumetric characteristics of the breathing cycle will be developed.

Location

John's Hall 107

Start Date

3-28-2020 9:45 AM

Presentation Format

Oral and Written

Group Project

No

COinS
 
Mar 28th, 9:45 AM

Exploring the Use of Carbon Nanotubes to Develop Breath Biomarkers

John's Hall 107

Common pulmonary diagnostic tests, though inefficient, expensive, and labored, have remained unchanged for several years. Developing an all-in-one sensor based technology to detect organic composition of exhaled breath can serve as a biomarker for prediction and early diagnosis of pulmonary diseases, as unique biomarker conditions of various pulmonary diseases. Carbon nanotubes (CNT's), used for their thermal and electrical properties, were hypothesized to be used as a thermistor and humidity sensor for: a) understanding the responsiveness of sensors towards the breathing cycle of each subject and b) evaluating characteristics of inhaled and exhaled breath temperature and relative humidity, including peak to valley values, amplitude, and frequency. A LabVIEW data acquisition system (DAQ) was developed for Arduino microcontroller. Using three pairs of CNT sensors, tests were performed to analyze the breathing pattern of two participants under three physiological conditions. The first part of study validated that the sensors were able to accurately detect the components of the breathing cycle (e.g., inhalation, exhalation, and pause). There was no statistically significant difference in the temperature frequency (breaths per minute) F(2,54) = 0.26, p >0.05 for 1st participant and F(2,54) = 0.01, p >0.05 for 2nd participant's breathing pattern for a given sensor pair. Lastly, after physical exercise, each participant showed increased breath rate with increased heart rate. As a next step, signal from the humidity sensor and a possible correlation between amplitude and frequency to the volumetric characteristics of the breathing cycle will be developed.