The research will involve testing 100 test strips that have been developed to detect solutions of urea and ammonia to simulate saliva levels for dehydration and kidney function. The experimental procedure and device has been established, however an analysis of the data and a mathematical simulation of the data have not been identified. This research will improve understanding on how a portable device can be used to support wellness in elderly care and patients with underlying conditions where dehydration and ammonia concentration are useful markers to track.
The student researcher(s) will: (1) conduct the experiments; (2) collect the data and provide statistical analysis; and (3) test several mass transport models with enzyme reaction using lumped parameter and a Google Tensor Flow machine learning algorithm. The project should take 10 weeks to complete.
Dr. Antonio Garcia
Understanding of: mass Transfer, statistical design of experiments, and Arduino software