Fluorescence excitation emission matrices for rapid detection of polycyclic aromatic hydrocarbons and pesticides in surface waters. Issue 2 (2nd January 2019)

• Record Type: Journal Article
• Authors: Yang, Ye Z.; Peleato, Nicolás M.; Legge, Raymond L.; Andrews, Robert C.
• Is Part Of: Environmental science. Volume 5:Issue 2(2019)
• Page Start: 315
• Page End: 324
• Publication Date: 2019-01-02
• Subjects: Water-supply -- Periodicals; Water security -- Periodicals; Water resources development -- Periodicals; Water chemistry -- Periodicals; 553.705
• DOI: 10.1039/c8ew00821c
• Languages: English
• ISSNs: 2053-1400

Abstract

Abstract : Rapid water quality assessment was evaluated using an automated fluorescence analysis system. Abstract : Application of real-time fluorescence excitation emission matrices (EEM) as a tool for water quality assessment was investigated. A bench-scale fluorescence system with on-line monitoring capabilities was used to quantify several polycyclic aromatic hydrocarbons (PAHs) and pesticides in surface waters of Ontario, Canada. Parallel factors analysis (PARAFAC), an unsupervised multi-way analysis approach, was compared to a supervised peak-picking approach. Both approaches produced sensitive regression models capable of predicting contaminant concentration with mean absolute errors (MAE) that ranged from 0.032 to 0.293 μg L −1 for lake water, and 0.052 to 0.921 μg L −1 for river water. In addition, results showed accurate detection of contaminant concentrations exceeding 0.25 μg L −1 . However, concentration and variability of natural organic matter (NOM) in natural waters presented unique challenges to peak-picking, PARAFAC, and regression analysis, which were mitigated by expert supervision as well as site-specific and timely calibration.