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Characterizing macroporous ion exchange membrane adsorbers for natural organic matter (NOM) removal-adsorption and regeneration behavior
Citation Link: https://doi.org/10.15480/882.13100
Publikationstyp
Journal Article
Date Issued
2024-06
Sprache
English
TORE-DOI
Journal
Citation
Membranes 14 (6): 124 (2024-06)
Publisher DOI
Scopus ID
Publisher
Multidisciplinary Digital Publishing Institute
Addressing the characterization of Natural Organic Matter (NOM) removal by functionalized membranes in water treatment, this study evaluates the effectiveness of two commercial ion-exchange membrane adsorbers: Sartobind® Q (with quaternary amines) and D (with tertiary amines). Using Suwannee River NOM (SRNOM) as a surrogate, Langmuir adsorption isotherms revealed maximum capacities (Qmax) of 2966 ± 153 mg C/m2 and 2888 ± 112 mg C/m2, respectively. Variations in flux from 50 to 500 LMH had a minimal impact on breakthrough times, proving low diffusion limitations. The macroporous (3-5 µm) functionalized cellulose-based membranes exhibited high permeabilities of 10,800 L/(h m2 bar). Q maintained positive zeta potential vs. pH, while D's zeta potential decreased above pH 7 due to amine deprotonation and turning negative above an isoelectric point of 9.1. Regeneration with 0.01 M NaOH achieved over 95% DOC regeneration for Sartobind® D, characterizing reversibility through a pH-swing. Cyclic adsorption showed that Q maintained its capacity with over 99% DOC regeneration, while D required acidic conditioning after the first regeneration cycle to mitigate capacity reduction and re-deprotonate the adsorber. These results have demonstrated the potential suitability of adsorber membranes, designed originally for biotechnological purposes, for the possible removal of disinfection byproduct precursors in drinking water treatment.
Subjects
adsorption
adsorptive membranes
ion-exchange membrane
membrane adsorber
natural organic matter
NOM removal
water treatment.
DDC Class
600: Technology
Publication version
publishedVersion
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membranes-14-00124-v2.pdf
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Main Article
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7.6 MB
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