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Probing algogenic organic matter (AOM) by size-exclusion chromatography to predict AOM-derived disinfection by-product formation.
Hua, Lap-Cuong; Lin, Jr-Lin; Chao, Shu-Ju; Huang, Chihpin.
Afiliación
  • Hua LC; Institute of Environmental Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Lin JL; Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan, Taiwan, ROC.
  • Chao SJ; Institute of Environmental Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Huang C; Institute of Environmental Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC. Electronic address: cphuang@mail.nctu.edu.tw.
Sci Total Environ ; 645: 71-78, 2018 Dec 15.
Article en En | MEDLINE | ID: mdl-30015120
ABSTRACT
High-performance size exclusion chromatography (HPSEC) coupled with peak-fitting technique was used to probe molecular weight (MW) properties of algogenic organic matter (AOM). The qualitative and quantitative MW information derived was used to predict AOM-derived disinfection by-product (DBP) formation. We resolved overlapping HPSEC chromatograms of all AOM samples into six major peaks with R2 > 0.996. This study gave significant insight into the HPSEC profiles of AOM, in which resolved peaks A and B (biopolymers) and peak C (humic substances) showed a strong correlation with the formation of carbonaceous-DBPs (C-DBPs). This likely resulted from the abundance of aromatic structures and conjugated CC double bonds in their chemical nature. Our results also indicated the importance of algal cells, including intra-cellular and cell-bound organic matter, over extra-cellular organic matter as precursors to C-DBP formation. The application of the information extracted from HPSEC profiles associated with the fluorescent components of AOM showed great improvements in the predictability of THMs, HAAs, and C-DBPs with R2 > 0.7 and p < 0.05. The outcome of this study will significantly benefit effective control of AOM-derived DBP formation by the chlorination of eutrophic waters.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2018 Tipo del documento: Article
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