2000
DOI: 10.1006/jcis.2000.6782
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Metal Ions Binding to Natural Organic Matter Extracted from Wheat Bran: Application of the Surface Complexation Model

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Cited by 42 publications
(29 citation statements)
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“…The sequence obtained is similar to the one obtained by Ravat et al for these five metal ions binding to lignocellulosic substrate [41,42].…”
Section: Metal Adsorption Modelingsupporting
confidence: 86%
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“…The sequence obtained is similar to the one obtained by Ravat et al for these five metal ions binding to lignocellulosic substrate [41,42].…”
Section: Metal Adsorption Modelingsupporting
confidence: 86%
“…In order to Table 3. simplify the numbers of the adjusting parameters, the proton binding behavior of the lignin can be described using a nonelectrostatic surface complexation model. Lignin contains two major types of functional groups that have strong interactions with metal ions: carboxylic and phenolic groups [41][42][43]. These two types of sites have often been used to describe the metal ion binding to humic substances, which contain carboxylic and phenolic groups as the main surface functional groups [44][45][46].…”
Section: Surface Site Concentrations and Surface Aciditymentioning
confidence: 99%
“…We used the NICA-Donnan approach to model our experimental data and determine proton-binding constants with natural organic matter. We compare our interpretation with those of Ravat et al who first investigated the acid-base properties of the lignocellulosic substrate and its interaction with heavy metals [14,15]. Ravat et al identified functional groups as carboxylic and phenolic functions.…”
Section: Introductionsupporting
confidence: 64%
“…It has been pointed out by several authors [6,14] that for organic matter it is difficult in all experimental procedures to distinguish between carboxyl and phenolic sites merely on the basis on their acidity. It is common to determine the carboxyl acidity by the Ca-acetate method and total acidity by the baryt method [17].…”
Section: Quantification Of Acidic Functional Groupsmentioning
confidence: 99%
“…Copper(II) cation, which is one of the most abundant transition metals in soil, exhibits many advantageous features for the application of EPR spectroscopy. With its d 9 -configuration (S = 1/2), it shows a strong deviation from a regular electrondensity distribution. Thus, one can get information about the type of complex formed by an adsorbed species.…”
Section: Introductionmentioning
confidence: 97%