Conference Proceedings · 2023
(Invited) Improving Detection of Fecal Contamination in Water Using Machine-Learning-Assisted Fluorescence Spectra Analysis
Rijan Maharjan, Nripesh Parajuli, Sishir Gautam, Suvechhya Bastola, Prashant Waiba, Anusa Thapa, Prajwal Rajbhandari, Thomas Krauss, and Ashim Dhakal
Optica Sensing Congress, Munich 2023
Spectral information from humic like-fluorescence, in addition to the spectra of tryptophan-like fluorescence, improve the Receiver Operating Characteristic for detection of fecal contamination in water. To demonstrate this, we apply the random forest algorithm to enhance specificity for detection of 1 CFU/100 ml of fecal coliforms by ~21%.