CPM-6 Challenges of Creating an Excitation-Emission Matrix
Abstract
At Lander University, numerous heavy-metal water analysis research projects sampled water obtained from Lake Greenwood, but there has been no focus on dissolved organic material (DOM). Fluorescence excitation-emission matrices (EEMs) provide fingerprint analysis of DOMs in aquatic environments. This analytical technique is new to our department and we face several challenges to make this technique work, such as: spectra collection, data display, data pre-processing, and sophisticated data analyses. Because data analysis techniques like Parallel Factor Analysis (PARAFAC) are computationally intensive, we have been using Jupyter Notebooks in the Google Colaboratory environment with assistance from AI technology. We are reporting our progress in overcoming these hurdles to bring Fluorescence Excitation-Emission Matrix Spectroscopy to our department. This research is the first step in this future analysis.
CPM-6 Challenges of Creating an Excitation-Emission Matrix
University Readiness Center Greatroom
At Lander University, numerous heavy-metal water analysis research projects sampled water obtained from Lake Greenwood, but there has been no focus on dissolved organic material (DOM). Fluorescence excitation-emission matrices (EEMs) provide fingerprint analysis of DOMs in aquatic environments. This analytical technique is new to our department and we face several challenges to make this technique work, such as: spectra collection, data display, data pre-processing, and sophisticated data analyses. Because data analysis techniques like Parallel Factor Analysis (PARAFAC) are computationally intensive, we have been using Jupyter Notebooks in the Google Colaboratory environment with assistance from AI technology. We are reporting our progress in overcoming these hurdles to bring Fluorescence Excitation-Emission Matrix Spectroscopy to our department. This research is the first step in this future analysis.