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Issue 2, 2019
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Fluorescence excitation emission matrices for rapid detection of polycyclic aromatic hydrocarbons and pesticides in surface waters

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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.

Graphical abstract: Fluorescence excitation emission matrices for rapid detection of polycyclic aromatic hydrocarbons and pesticides in surface waters

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Supplementary files

Article information


Submitted
09 Nov 2018
Accepted
17 Dec 2018
First published
18 Dec 2018

Environ. Sci.: Water Res. Technol., 2019,5, 315-324
Article type
Paper

Fluorescence excitation emission matrices for rapid detection of polycyclic aromatic hydrocarbons and pesticides in surface waters

Y. Z. Yang, N. M. Peleato, R. L. Legge and R. C. Andrews, Environ. Sci.: Water Res. Technol., 2019, 5, 315
DOI: 10.1039/C8EW00821C

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