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Kinetics of natural organic matter (NOM) removal during drinking water biofiltration using different NOM characterization approaches.
Water Res. 2016 Nov 01; 104:361-370.WR

Abstract

To better understand biofiltration, concentration profiles of various natural organic matter (NOM) components throughout a pilot-scale drinking water biofilter were investigated using liquid chromatography - organic carbon detection (LC-OCD) and fluorescence excitation and emission matrices (FEEM). Over a 2 month period, water samples were collected from six ports at different biofilter media depths. Results showed substantial removal of biopolymers (i.e. high molecular weight (MW) NOM components as characterized by LC-OCD) and FEEM protein-like materials, but low removal of humic substances, building blocks and low MW neutrals and low MW acids. For the first time, relative biodegradability of different NOM components characterized by LC-OCD and FEEM approaches were investigated across the entire MW range and for different fluorophore compositions, in addition to establishing the biodegradation kinetics. The removal kinetics for FEEM protein-like materials were different than for the LC-OCD-based biopolymers, illustrating the complementary nature of the LC-OCD and FEEM approaches. LC-OCD biopolymers (both organic carbon and organic nitrogen) and FEEM protein-like materials were shown to follow either first or second order biodegradation kinetics. Due to the low percent removal and small number of data points, the performance of three kinetic models was not distinguishable for humic substances. Pre-filtration of samples for FEEM analyses affected the removal behaviours and/or kinetics especially of protein-like materials which was attributed to the removal of the colloidal/particulate materials.

Authors+Show Affiliations

NSERC Chair in Water Treatment, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada. Electronic address: f5chen@uwaterloo.ca.NSERC Chair in Water Treatment, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.NSERC Chair in Water Treatment, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.Department of Chemical Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.NSERC Chair in Water Treatment, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.NSERC Chair in Water Treatment, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27572138

Citation

Chen, Fei, et al. "Kinetics of Natural Organic Matter (NOM) Removal During Drinking Water Biofiltration Using Different NOM Characterization Approaches." Water Research, vol. 104, 2016, pp. 361-370.
Chen F, Peldszus S, Elhadidy AM, et al. Kinetics of natural organic matter (NOM) removal during drinking water biofiltration using different NOM characterization approaches. Water Res. 2016;104:361-370.
Chen, F., Peldszus, S., Elhadidy, A. M., Legge, R. L., Van Dyke, M. I., & Huck, P. M. (2016). Kinetics of natural organic matter (NOM) removal during drinking water biofiltration using different NOM characterization approaches. Water Research, 104, 361-370. https://doi.org/10.1016/j.watres.2016.08.028
Chen F, et al. Kinetics of Natural Organic Matter (NOM) Removal During Drinking Water Biofiltration Using Different NOM Characterization Approaches. Water Res. 2016 Nov 1;104:361-370. PubMed PMID: 27572138.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Kinetics of natural organic matter (NOM) removal during drinking water biofiltration using different NOM characterization approaches. AU - Chen,Fei, AU - Peldszus,Sigrid, AU - Elhadidy,Ahmed M, AU - Legge,Raymond L, AU - Van Dyke,Michele I, AU - Huck,Peter M, Y1 - 2016/08/16/ PY - 2016/05/02/received PY - 2016/08/07/revised PY - 2016/08/15/accepted PY - 2016/8/31/pubmed PY - 2017/5/6/medline PY - 2016/8/31/entrez KW - Biodegradation kinetics KW - Biofiltration KW - Drinking water KW - Fluorescence excitation emission matrices KW - LC-OCD KW - Natural organic matter SP - 361 EP - 370 JF - Water research JO - Water Res VL - 104 N2 - To better understand biofiltration, concentration profiles of various natural organic matter (NOM) components throughout a pilot-scale drinking water biofilter were investigated using liquid chromatography - organic carbon detection (LC-OCD) and fluorescence excitation and emission matrices (FEEM). Over a 2 month period, water samples were collected from six ports at different biofilter media depths. Results showed substantial removal of biopolymers (i.e. high molecular weight (MW) NOM components as characterized by LC-OCD) and FEEM protein-like materials, but low removal of humic substances, building blocks and low MW neutrals and low MW acids. For the first time, relative biodegradability of different NOM components characterized by LC-OCD and FEEM approaches were investigated across the entire MW range and for different fluorophore compositions, in addition to establishing the biodegradation kinetics. The removal kinetics for FEEM protein-like materials were different than for the LC-OCD-based biopolymers, illustrating the complementary nature of the LC-OCD and FEEM approaches. LC-OCD biopolymers (both organic carbon and organic nitrogen) and FEEM protein-like materials were shown to follow either first or second order biodegradation kinetics. Due to the low percent removal and small number of data points, the performance of three kinetic models was not distinguishable for humic substances. Pre-filtration of samples for FEEM analyses affected the removal behaviours and/or kinetics especially of protein-like materials which was attributed to the removal of the colloidal/particulate materials. SN - 1879-2448 UR - https://www.unboundmedicine.com/medline/citation/27572138/Kinetics_of_natural_organic_matter__NOM__removal_during_drinking_water_biofiltration_using_different_NOM_characterization_approaches_ DB - PRIME DP - Unbound Medicine ER -