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Cited by 256

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Nanofiltration of Natural Organic Matter: pH and Ionic Strength Effects

Braghetta, Anne, DiGiano, Francis A., Ball, William P.·1997·Journal of Environmental Engineering
DOI 10.1061/(asce)0733-9372(1997)123:7(628

Abstract

Studies were conducted to examine the effect of solution chemistry, defined here as pH and ionic strength, on the permeability of negatively charged polymeric nanofiltration membranes. Water permeation through the membrane was demonstrated to decrease at conditions of low pH and high ionic strength in the absence of organic macromolecules. The reduction in membrane permeability was attributed to a compaction of the membrane matrix resulting from charge neutralization at the membrane surface and electric double layer compression. An uncharged model organic macromolecule (polyethylene glycol) was used to quantify the effects of solution chemistry on membrane compaction and solute rejection capabilities of the charged membrane. Studies of membrane permeability and rejection were then repeated with solutions containing natural organic matter (NOM), enabling concurrent evaluation of the effects of electric double layer compression as well as changes in both membrane structure and the apparent macromolecular size of charged NOM macromolecules.

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Metadata

Authors
Braghetta, A., DiGiano, F. A., & Ball, W. P.
Venue
Journal of Environmental Engineering
Published
1997-07
Volume
123
Issue
7
Pages
628-641
ISSN
  • 0733-9372 (ISSN-L)
  • 1943-7870
DOI
10.1061/(asce)0733-9372(1997)123:7(628
OpenAlex
W2107007042
Cited by
256
References
10
FWCI
8.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanofiltration of Natural Organic Matter: pH and Ionic Strength Effects. https://app.cochat.ai/papers/10.1061/(asce)0733-9372(1997)123:7(628
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Braghetta, A., DiGiano, F. A., & Ball, W. P. (1997). Nanofiltration of Natural Organic Matter: pH and Ionic Strength Effects. Journal of Environmental Engineering. https://doi.org/10.1061/(asce)0733-9372(1997)123%3A7(628

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.