Assessing Natural Organic Matter Treatability Using High Performance Size Exclusion Chromatography
Author(s) -
Christopher W.K. Chow,
Rolando Fabris,
J. van Leeuwen,
Dongsheng Wang,
Mary Drikas
Publication year - 2008
Publication title -
environmental science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.851
H-Index - 397
eISSN - 1520-5851
pISSN - 0013-936X
DOI - 10.1021/es800794r
Subject(s) - alum , size exclusion chromatography , coagulation , natural organic matter , chemistry , chromatography , organic matter , surface water , water treatment , gel permeation chromatography , environmental chemistry , environmental science , environmental engineering , organic chemistry , psychology , psychiatry , enzyme , polymer
This paper reports the use of high performance size exclusion chromatography (HPSEC) as a tool to assess NOM removal by coagulation. Quantitative information such as percentage removal can be determined after "peak-fitting" the HPSEC molecular weight profile of the source water. A peak-fitting approach was developed based on the molecular weight profile of dissolved organic matter from surface water. A sequential jar testing procedure with five treatment steps was used to characterize organics and to confirm that several NOM components were recalcitrant to coagulation with alum. Despite differences found in both the concentration and character of NOM in three surface waters studied, the final concentrations and characteristics (e.g., molecular weight profile) were very similar after five treatment stages. The molecular weight profiles of the recalcitrant organics were subsequently used to build a peak-fitting technique for NOM removal. The approach was validated by further jar test results of several other water sources, such as ground and river waters, including one found to be very difficult to treat in terms of NOM removal by alum treatment. Predictions of removable and nonremovable organic fractions by coagulation using this peak fitting technique were found to be within 10% of actual values.
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