Date of Award
12-2011
Document Type
Open Access Thesis
Degree Name
Master of Science (MS)
Department
Physics, Applied
First Advisor
Stephen Arnason
Second Advisor
Robert Chen
Third Advisor
Bala Sundaram
Abstract
Timely and inexpensive monitoring of microbial ecology in the world's water supplies is crucial to the study of environmental and human impact on water quality and the prevention of disease outbreaks. Current technology is lacking in its ability to accurately measure and predict the presence of possible disease pathogens in a timely and cost effective manner. This paper describes the construction and initial testing of an automated prototype water sensor intended to detect fluctuations in microbial density in real-time by using bulk fluorescence of SYBR Gold stained bacteria. The sensor is comprised of off-the-shelf hardware and an in-house designed and built flow-through fluorometer. A flow-through design allows water to be channeled through filters, injected with a fluorescent dye, and then held in the fluorometer while its bulk fluorescence is measured. Preliminary testing has confirmed the prototypes' ability to reproduce a series of dilutions of fluorescein consistent to within 0.8% of a similar manual series; consistently measure the bulk fluorescence of SYBR Gold for specific Lambda DNA concentrations; differentiate between Lambda DNA dilutions as close as 0.05 μg DNA mL-1Milli-Q water; and repeatedly create and measure a dilution of SYBR Gold in Instant Ocean which varied 3.4% from its average. Additional testing is needed to study filter performance and longevity, the prototypes' performance using SYBR Gold with sea water, and the correlation between bulk fluorescence and current water quality testing methods. Items not currently considered include SYBR Gold containment and waste, the use of DNase to improve fluorescence, and gross filtration for larger particles and debris.
Recommended Citation
Savill, Susan M., "Prototype Automated Flow-Through Sensor for Measuring Waterborne Microbial Concentrations Using Bulk Fluorescence" (2011). Graduate Masters Theses. 79.
https://scholarworks.umb.edu/masters_theses/79