Presentation Title

Development of a Handheld Medical Device for Saliva Screening

Faculty Mentor

Dr. Sergio Mendez

Start Date

17-11-2018 8:30 AM

End Date

17-11-2018 10:30 AM

Location

HARBESON 26

Session

POSTER 1

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

Due to a lack of affordable healthcare in poverty-stricken countries globally, the goal of this research is to provide low-cost and accessible methods of detection for diseases such as Type II Diabetes. From current development, the prototype biosensor works to detect when a light source is present, and the next step is to test the saliva reaction with the biosensor.

Human salivary amylase, which is an enzyme that catalyzes the hydrolysis of starch into simpler sugars, and there has been a correlation observed between patients with diabetes and an increase in amylase levels. To measure their concentration of salivary amylase, we measure the light intensity of a fluorescent molecule that is produced in the reaction between salivary amylase and starch.

The biosensor's purpose is to detect fluorescent molecules in a solution by measuring the intensity of light emitted by the molecules. The biosensor consists of a photodiode to measure the light at a certain wavelength and a transimpedance amplifier to convert the current signal into an amplified voltage signal. The program used for analysis of the incoming data is MATLAB.

Future work includes refining the MATLAB code and developing a dispensing and centrifuge system within the device. Furthermore, tests are being conducted using different fluorescent techniques with starch and salivary amylase. The overall goal of this research is to produce an affordable handheld device to detect Type II Diabetes as well as other diseases in the future. The completed handheld device will help make diagnosing diseases a reachable option for people living in low income areas around the world.

Summary of research results to be presented

Currently, we have tested the reaction using UV spectroscopy to collect preliminary data as a proof of concept. This data consists of measuring the absorbance versus time at different concentrations of salivary amylase. It has been observed that as the concentration of salivary amylase increases, a faster steady state of the reaction is achieved. For the biosensor, tests have been done using different concentrations of BODIPY. Current tests show that the sensor is able to detect the fluorescence, but as the concentrations are closer together the photodiode is not able to recognize the differences due to a significant amount of noise. To counteract this sensitivity, a digital filter using the Butterworth method was added to the MATLAB code, and this significantly improved the quality of the output signal.

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Nov 17th, 8:30 AM Nov 17th, 10:30 AM

Development of a Handheld Medical Device for Saliva Screening

HARBESON 26

Due to a lack of affordable healthcare in poverty-stricken countries globally, the goal of this research is to provide low-cost and accessible methods of detection for diseases such as Type II Diabetes. From current development, the prototype biosensor works to detect when a light source is present, and the next step is to test the saliva reaction with the biosensor.

Human salivary amylase, which is an enzyme that catalyzes the hydrolysis of starch into simpler sugars, and there has been a correlation observed between patients with diabetes and an increase in amylase levels. To measure their concentration of salivary amylase, we measure the light intensity of a fluorescent molecule that is produced in the reaction between salivary amylase and starch.

The biosensor's purpose is to detect fluorescent molecules in a solution by measuring the intensity of light emitted by the molecules. The biosensor consists of a photodiode to measure the light at a certain wavelength and a transimpedance amplifier to convert the current signal into an amplified voltage signal. The program used for analysis of the incoming data is MATLAB.

Future work includes refining the MATLAB code and developing a dispensing and centrifuge system within the device. Furthermore, tests are being conducted using different fluorescent techniques with starch and salivary amylase. The overall goal of this research is to produce an affordable handheld device to detect Type II Diabetes as well as other diseases in the future. The completed handheld device will help make diagnosing diseases a reachable option for people living in low income areas around the world.