Mentor: Dr. David Mazyck
College of Engineering
"Throughout my time at UF, I have become increasingly interested in my field of study. What we know is fascinating, but I have found that the gaps in our knowledge are even more so. I became involved in research to try and fill in these gaps while at the same time discovering new ones. My goal is to take what we know and what we do not know and create effective, innovative ways of meeting our global society's needs."
Environmental Engineering Sciences
- Water Systems
- Waste Management
- Environmental Nanotechnology
- Florida Bright Futures Medallion Scholarship - 2011
- Pinellas Chapter of FES Scholarship Award - 2013
- John W. and Mittie Collins Scholarship - 2014
- Florida Environmental Scholarship - 2015
Hobbies and Interests
- Spending time with friends and family
- Watching documentaries
Comparison Between FTIR and Boehm Titration for Activated Carbon Functional Group Quantification
Activated carbon is proven to be effective at removing harmful contaminants from water and air phases. Each activated carbon granule contains several functional groups which are responsible for neutralizing these pollutants. In order to examine the total effectiveness of these functional groups at contaminant removal, Fourier transform infrared (FTIR) spectroscopy and Boehm titrations are utilized. However, performing Boehm titrations is extremely time consuming and experimental outcomes can vary and be difficult to reproduce. Hence, my research project will focus on comparing FTIR spectroscopy and Boehm titrations to see if there is a correlation between these two tests. If a correlation exists, it may be possible to bypass the Boehm titration method and only use the easier and quicker method, FTIR spectroscopy, to find total effectiveness of the functional groups. To determine whether or not a correlation exists between these two test methods, Boehm titrations will be performed on activated carbon granules and then these same granules will be analyzed with FTIR. The results from these two tests will identify whether or not a correlation exists between them.