Enhancement of phenanthrene adsorption on a clayey soil and clay minerals by coexisting lead or cadmium

Zhang, Weihua; Zhuang, Luwen; Yuan, Yuan; Tong, Lizhi; Tsang, Daniel C.W.

doi:10.1016/j.chemosphere.2010.12.056

Cited by 77 publications

(26 citation statements)

References 27 publications

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“…phenanthrene adsorption in soils (Gao et al, 2006;Zhang et al, 2011a), whereas phenanthrene (ranging between 100 and 300 mg kg − 1 ) suppressed Pb sorption to a certain extent (Zhang et al, 2010a). However, the presence of 1,4-dichlorobenzene (50 mg L − 1 ) in soils had little effect on Cd and Cu sorption .…”

Section: Tablementioning

confidence: 93%

Phytoremediation potential of Juncus subsecundus in soils contaminated with cadmium and polynuclear aromatic hydrocarbons (PAHs)

et al. 2012

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Section: Tablementioning

confidence: 93%

Phytoremediation potential of Juncus subsecundus in soils contaminated with cadmium and polynuclear aromatic hydrocarbons (PAHs)

et al. 2012

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“…Humic acids were also thought as the main host of organic contaminants, such as PAHs and pesticides via organic partition and sorption processes (Joo et al 2008). However, the coexistence of humic acids reduces the phenanthrene sorption capacity on the activated carbon surface (Kwon and Pignatello 2005;Pignatello et al 2006), but increases its capacity on the bentonite surface (Zhang et al 2011).…”

Section: Responsible Editor: Hailong Wangmentioning

confidence: 99%

Pb(II), Cr(VI) and atrazine sorption behavior on sludge-derived biochar: role of humic acids

Zhou

Wang

Fang

et al. 2015

Environ Sci Pollut Res

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Pyrolyzing municipal wastewater treatment sludge into biochar can be a promising sludge disposal approach, especially as the produced sludge-derived biochar (SDBC) is found to be an excellent sorbent for heavy metals and atrazine. The aim of this study was to investigate how and why the coexisting humic acids influence the sorption capacity, kinetic, and binding of these contaminants on SDBC surface. Results showed humic acids enhanced Pb(II)/Cr(VI) sorption binding, and increased the corresponding Pb(II) Langmuir sorption capacity at pH 5.0 from 197 to 233 μmol g(-1), and from 688 to 738 μmol g(-1) for Cr(VI) at pH 2.0. It can be mainly attributed to the sorbed humic acids, whose active functional groups can offer the additional sites to form stronger inner-sphere complexes with Pb(2+), and supply more reducing agent to facilitate the transformation of Cr(VI) to Cr(III). However, humic acids reduced the atrazine adsorption Freundlich constant from 1.085 to 0.616 μmol g(-1). The pore blockage, confirmed by the decreased BET-specific surface area, as well as the more hydrophilic surface with more sorbed water molecules may be the main reasons for that suppression. Therefore, the coexisting humic acids may affect heavy metal stabilization or pesticide immobilization during SDBC application to contaminated water or soils, and its role thus should be considered especially when organic residues are also added significantly to increase the humic acid content there.

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“…The mineral surface would be covered with negative charges when the pH was higher than pH pzc . The modified palygorskite was subjected to protonation at low pH or deprotonation at elevated pH [37]. This would affect the sorption sites for PAHs on sorbent surface.…”

Section: Sorption Studiesmentioning

confidence: 99%

A Stepwise-Cluster Inference Model for Phenanthrene Immobilization at the Aqueous/Modified Palygorskite Interface

Zhao

Huang

Cheng

et al. 2017

Water

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A stepwise-cluster inference (SI) model was established through introducing stepwise-cluster analysis (SCA) into the phenanthrene immobilization process at the aqueous/modified palygorskite interface. SCA has the advantages of tackling the nonlinear relationships among environmental factors and the phenanthrene sorption amount in the immobilization process. The essence of SCA is to form a tree-based classification on a series of cutting or mergence procedures under given statistical criteria. The results indicated that SI could help develop a statistical relationship between environmental variables and the phenanthrene sorption amount, where discrete and nonlinear complexities exist. During the experiment, data were randomly sampled 10 times for model calibration and verification. The R 2 (close to one) and root mean squared error (RMSE) (close to zero) values guaranteed the prediction accuracy of the model. Compared to other statistical methods, the calculation of R 2 and RMSEs showed that SI was more straightforward for describing the nonlinear relationships and precisely fitting and predicting the immobilization of phenanthrene. Through the calculation of the input effects on the output in the SI model, the influence of environmental factors on phenanthrene immobilization were ranged in descending order as: initial phenanthrene concentration, ionic strength, pH, added humic acid dose, and temperature. It is revealed that SCA can be used to map the nonlinear and discrete relationships and elucidate the transport patterns of phenanthrene at the aqueous/modified palygorskite interface.

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Enhancement of phenanthrene adsorption on a clayey soil and clay minerals by coexisting lead or cadmium

Cited by 77 publications

References 27 publications

Phytoremediation potential of Juncus subsecundus in soils contaminated with cadmium and polynuclear aromatic hydrocarbons (PAHs)

Phytoremediation potential of Juncus subsecundus in soils contaminated with cadmium and polynuclear aromatic hydrocarbons (PAHs)

Pb(II), Cr(VI) and atrazine sorption behavior on sludge-derived biochar: role of humic acids

A Stepwise-Cluster Inference Model for Phenanthrene Immobilization at the Aqueous/Modified Palygorskite Interface

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