Date of Award
Thesis - SCU Access Only
Santa Clara : Santa Clara University, 2016.
Arsenic contamination of groundwater is a global problem that causes millions of people to put themselves at risk for many health related diseases. Arsenic poisoning has been linked to a variety of cancerous and noncancerous health effects, including arsenicosis. Current diagnostic technologies for arsenic detection are either inaccurate colorimetric methods, or expensive, offsite lab analysis. These tests are not user-friendly, and require the use of other toxic chemicals. Both colorimetric and spectrometric methods are unsuitable for resource-limited settings. To address this need, this projects aims to create a microfluidic sensor capable of detection a variety of contaminants in groundwater sources. This project focuses on the electrochemical detection of arsenic because of its high toxicity and distribution in the developing world. Our microfluidic sensors employs a three-electrode system patterned with conductive ink onto a glass substrate, enabling detection of arsenic in concentrations down to 5 parts per billion (ppb). Using a materials printer, the fabrication of the sensor is rapid, consistent, and inexpensive, allowing for the mass-production of sensors. When the sensor is inserted into a water sample and is connected to an electrochemical analyzer, various voltammetry sweeps are placed onto the electrodes, producing a current peak for arsenic ions present in the water. Using a mobile application, the user will know the exact concentration of the contaminant and have the option of viewing a map displaying other areas that have been tested with our sensors and if those areas can provide safe drinking water.
Vazquez, Gabriela and Schueppert, Mary Claire, "Electrochemical detection of arsenic using a Microfluidic platform" (2016). Bioengineering Senior Theses. 43.