Interpretation of Competitive Adsorption Isotherms in Terms of Affinity Distributions

Rusch, Ursula; Borkovec, Michal; Daicic, John; Riemsdijk, W.H. van

doi:10.1006/jcis.1997.4904

Cited by 52 publications

(48 citation statements)

References 20 publications

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“…A somewhat similar interpretation based on ideal local adsorption behavior (competitive Langmuir equation) and a complex heterogeneity has been suggested by Rusch et al [80]. These authors have shown for a two-component case that the NICA equation with n i = n H may be interpreted as a description of competitive binding to a heterogeneous sorbent in which the two species experience a complex heterogeneity composed of two distributions that are partially correlated.…”

Section: Discussion Of the Nica Modelsupporting

confidence: 59%

Humic matter and contaminants. General aspects and modeling metal ion binding

Koopal

Riemsdijk

Kinniburgh

2001

Pure and Applied Chemistry

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114

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Humic substances are soil and fresh-water components that play an important role in the binding and transport of both organic and inorganic contaminants. Transport of the contaminants due to ground-and fresh-water dynamics is directly related to the risks associated with contaminations. The mobility of soluble humic substances is related to their interaction with soil mineral particles. Some key references for the binding of organic and inorganic contaminants and for the binding of humics to mineral particles are presented. Humic substances also play a role in the analysis of the contaminants in natural waters and with remediation of water or soil polluted with pesticides, heavy metal ions, and radionuclides. These aspects are illustrated with some examples. The problems that are encountered with the modeling of the binding of contaminants to humics and of heavy metal ions in particular are illustrated by considering the nonideal competitive adsorption model (NICA) extended with electrostatic interactions. The NICA-Donnan model gives quite good results for the description of metal ion binding, as is illustrated for metal ion binding to purified peat humic acid (PPHA). Finally, some remarks are made with respect to the use of the NICA-Donnan model in general purpose speciation programs and of simplified versions of the model for predictions under restricted environmental conditions.

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Section: Discussion Of the Nica Modelsupporting

confidence: 59%

Humic matter and contaminants. General aspects and modeling metal ion binding

Koopal

Riemsdijk

Kinniburgh

2001

Pure and Applied Chemistry

Self Cite

114

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“…This would suggest a value of n i of one, if n i is interpreted solely as an average stoichiometry coefficient. The work of Rusch et al (29) has shown that the NICCA model with one and the same n parameter for allK i values can be interpreted as being the result of the degree of correlation between the individual distributions. Note that one value for n for all competitive reactions implies also the assumption of the same width of the individual distributions (m = n * p).…”

Section: Continuous Heterogeneity Equationmentioning

confidence: 99%

Modeling the Binding of Benzenecarboxylates by Goethite: The Ligand and Charge Distribution Model

Filius

Meeussen²,

Hiemstra

et al. 2001

Journal of Colloid and Interface Science

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“…The parameter n i,j (0 Ͻ n i,j Յ 1) expresses the degree of correlation between the affinity distribution of the proton and the metal ion i and the stoichiometry of the binding reaction of ion i. (Rusch et al, 1997). The ratio of n i,j and n Hj in the NICA equation represents the stoichiometry.…”

Section: Nica Approachmentioning

confidence: 99%