Acid/base and Cu(II) binding properties of natural organic matter extracted from wheat bran: modeling by the surface complexation model

Ravat, Corinne; Dumonceau, J.; Monteil-Rivera, Fanny

doi:10.1016/s0043-1354(99)00255-9

Cited by 68 publications

(34 citation statements)

References 30 publications

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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%

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Adsorption of metal ions on lignin

Guo

Zhang

Shan

2008

Journal of Hazardous Materials

656

242

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This study investigated the adsorption of the heavy metal ions Pb(II), Cu(II), Cd(II), Zn(II), and Ni(II) on a lignin isolated from black liquor, a waste product of the paper industry. Lignin has affinity with metal ions in the following order: Pb(II) > Cu(II) > Cd(II) > Zn(II) > Ni(II). The adsorption kinetic data can be described well with a pseudosecond-order model and the equilibrium data can be fitted well to the Langmuir isotherm. Metal ion adsorption was strongly dependent on pH and ionic strength. Surface complexation modelling was performed to elucidate the adsorption mechanism involved. This shows that lignin surfaces contain two main types of acid sites attributed to carboxylic-and phenolic-type surface groups and the phenolic sites have a higher affinity for metal ions than the carboxylic sites.

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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%

Section: Surface Site Concentrations and Surface Aciditymentioning

confidence: 99%

Adsorption of metal ions on lignin

Guo

Zhang

Shan

2008

Journal of Hazardous Materials

656

242

View full text Add to dashboard Cite

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“…The lignocellulosic substrate under consideration carries carboxylic groups, with intrinsic pK values of less than 6-7 and weak-acid groups (e.g., phenolic, OH) with higher pK 's (13). Our previous analysis showed that the use of two discrete sites was sufficient to fit the proton dissociation data and the copper binding data well (13). An identical distribution, with S 1 OH and S 2 OH being attributed to carboxylic-and phenolictype sites, respectively, is used in the present modeling.…”

Section: Model Considerationmentioning

confidence: 99%

“…In a recent paper (13), we showed that the surface complexation model based on the electrostatic double-layer theory (14) could be used successfully to describe the proton and Cu binding to the lignocellulosic substrate over a wide range of conditions. The advantages of this model consist of its simple and fast use as well as its capability to describe the ionic-strength-dependent electrostatic interactions that influence the adsorption of ions onto electrically charged surfaces (15).…”

Section: Introductionmentioning

confidence: 99%

Metal Ions Binding to Natural Organic Matter Extracted from Wheat Bran: Application of the Surface Complexation Model

Ravat

Monteil-Rivera

Dumonceau

2000

Journal of Colloid and Interface Science

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“…The cation exchange capacity of kaolinite is low [32], so that the exchange sites could be well saturated with sodium ions, resulting in inner sphere surface complexation as the predominant mode of heavy metal adsorption, in accord with the basic assumptions of DLM. DLM surface complexation modeling was previously shown to describe Cu 21 binding to natural organic matter (NOM) with a minimum number of adjustable parameters (i.e., 5) [33]. In fact, we used the CCM with a capacitance of 1.6 F m 22 close to the literature value [34], with good agreement with the DLM model.…”

mentioning

confidence: 91%

Modeling competitive adsorption of copper(II), lead(II), and cadmium(II) by kaolinite‐based clay mineral/humic acid system

Hızal

Apak

Hoell

2009

Env Prog and Sustain Energy

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The aim of this work is to investigate and model the simultaneous adsorption of Cu(II), Cd(II), and Pb(II) in the presence and absence of humic acid on kaolinite-based clays. The preliminary capacity estimation of clays for metal was made with the use of a modified Langmuir approach, and adsorption data collected at various pH were processed using the FITEQL 3.2 computer program to establish the model. The three types of surface sites responsible for adsorption were considered to be the permanent charge sites X 2 22 , and variable charge sites comprised of BS 1 OH silanol groups and BS 2 OH aluminol groups of kaolinite-based clays. Heavy metal cations were assumed to bind to the surface in the form of outer sphere and inner sphere monodentate complexes. When humic acid was added, divalent metal ion adsorption was modeled using a multisite binding model by the aid of FITEQL 3.2. Since the stability of the ternary surface complexes in the presence of humic acid was higher than that of the corresponding binary heavy metal cation complexes, the adsorption versus pH curves were steeper (and distinctly S-shaped) compared with the tailed curves observed in binary claymetal ion systems, probably due to the fact that humic acid-coated kaolinite essentially constituted the active surface for metal sorption. Although competitive metal adsorption from (metal ions mixture1humate) solutions was generally lower than those from individual metal ion solutions, Cd 21 , being the metal ion with the highest affinity toward permanent charge sites, was the least affected ion at relatively low pH from competitive adsorption. Prog, 28: 493-506, 2009 Keywords: heavy metals, competitive adsorption, clay, FITEQL, adsorption modeling INTRODUCTION Cadmium(II), lead(II), and copper(II) are wellknown toxic heavy metals, which pose a serious threat to the fauna and flora of receiving water bodies when discharged into industrial wastewater. In spite of strict regulations restricting their careless disposal, these metal cations may still emerge in a variety of wastewaters stemming from catalyst, painting and coating, extractive metallurgy, antibacterials, insecticides and fungicides, photography, metal electroplating, fertilizer, mining, pigments, stabilizers, alloy industries, electrical wiring, plumbing, heating, roofing and building construction, piping, water purification, gasoline additive, and battery industries [1,2]. The acute toxicity of these heavy metals has caused various ecological catastrophes in human history such as the ''itai-itai'' disease due to cadmium [3]. Prolonged effect may cause other chronical disorders [4]. Various methods such as hydrometalurgical technologies, ion exchange, electrodialysis, reverse osmosis, precipitation, and adsorption have been used for heavy metal removal from environmental aqueous solution [5]. Heavy metal adsorption on soils and soil minerals has been the subject of many studies during the last decade [6,7]. American Institute of Chemical Engineers EnvironClays readily adsorb heavy metal ions...

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Acid/base and Cu(II) binding properties of natural organic matter extracted from wheat bran: modeling by the surface complexation model

Cited by 68 publications

References 30 publications

Adsorption of metal ions on lignin

Adsorption of metal ions on lignin

Metal Ions Binding to Natural Organic Matter Extracted from Wheat Bran: Application of the Surface Complexation Model

Modeling competitive adsorption of copper(II), lead(II), and cadmium(II) by kaolinite‐based clay mineral/humic acid system

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