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Facile fabrication of dolomite-doped biochar/bentonite for effective removal of phosphate from complex

《环境科学与工程前沿（英文）》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1671-7

摘要：

● Dolomite-doped biochar/bentonite was synthesized for phosphate removal.

关键词： Biochar-bentonite composite     Dolomite doping     Phosphate adsorption     Polymeric matrix membrane     Adsorption-filtration dual functions     Low-concentration phosphate    

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Removal of copper ions from aqueous solution by adsorption using LABORATORIES-modified bentonite (organo-bentonite

Sandy, Velycia MARAMIS, Alfin KURNIAWAN, Aning AYUCITRA, Jaka SUNARSO, Suryadi ISMADJI

《化学科学与工程前沿（英文）》 2012年 第6卷 第1期   页码 58-66 doi: 10.1007/s11705-011-1160-6

摘要： Equilibrium, kinetic and thermodynamic aspects of the adsorption of copper ions from an aqueous solution using linear alkylbenzene sulfonate (LABORATORIES) modified bentonite (organo-bentonite) are reported. Modification of bentonite was performed via microwave heating with a concentration of LABORATORIES surfactant equivalent to 1.5 times that of the cation exchange capacity (CEC) of the raw bentonite. Experimental parameters affecting the adsorption process such as pH, contact time and temperature were studied. Several adsorption equations (e.g., Langmuir, Freundlich, Sips and Toth) with temperature dependency were used to correlate the equilibrium data. These models were evaluated based on the theoretical justifications of each isotherm parameter. The Sips model had the best fit for the adsorption of copper ions onto organo-bentonite. For the kinetic data, the pseudo-second order model was superior to the pseudo-first order model. Thermodynamically, the adsorption of copper ions occurs via chemisorption and the process is endothermic (Δ >0), irreversible (Δ >0) and nonspontaneous (Δ >0).

关键词： heavy metal     copper     adsorption     organo-bentonite     temperature dependent    

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Novel approach to control adsorbent aggregation: iron fixed bentonite-fly ash for Lead (Pb) and Cadmium

Teza Mwamulima, Xiaolin Zhang, Yongmei Wang, Shaoxian Song, Changsheng Peng

《环境科学与工程前沿（英文）》 2018年 第12卷 第2期 doi: 10.1007/s11783-017-0979-6

摘要： In the present study, a novel approach was used to control zero valent iron aggregation and separation problems by fixing zero valent iron (ZVI) on bentonite-fly ash pellets. For this purpose, porous low cost bentonite-fly ash (BFA) pellets with size of 2.00 cm in length and 0.35 cm in diameter were prepared and fixed with ZVI to manufacture zero valent iron bentonite-fly ash (ZVI-BFA) pellets. Importantly, unlike powdered adsorbents, ZVI-BFA can easily be separated from final effluents when exhausted without any disintegration. The performance of the developed novel adsorbent was investigated for the removal of Pb and Cd from aqueous media. At 100 mg·L and 1 g adsorbent, a maximum of 89.5% of Cd and 95.6% of Pb was removed by ZVI-BFA as compared to 56% and 95% removal by BFA. At 200 mg·L , Cd and Pb removal by ZVI-BFA was 56% and 99.8% respectively as compared to only 28% and 96% by BFA. Further, the removal kinetics was best fitted for pseudo-second order model. The study provides the basis for improving the removal capacity of porous materials by iron fixation while taking separation ability into consideration.

关键词： Zero valent iron     Bentonite     Fly ash     Heavy metals removal     Synthesis    

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Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

《结构与土木工程前沿（英文）》 2019年 第13卷 第1期   页码 215-239 doi: 10.1007/s11709-018-0489-z

摘要： Plastic concrete is an engineering material, which is commonly used for construction of cut-off walls to prevent water seepage under the dam. This paper aims to explore two machine learning algorithms including artificial neural network (ANN) and support vector machine (SVM) to predict the compressive strength of bentonite/sepiolite plastic concretes. For this purpose, two unique sets of 72 data for compressive strength of bentonite and sepiolite plastic concrete samples (totally 144 data) were prepared by conducting an experimental study. The results confirm the ability of ANN and SVM models in prediction processes. Also, Sensitivity analysis of the best obtained model indicated that cement and silty clay have the maximum and minimum influences on the compressive strength, respectively. In addition, investigation of the effect of measurement error of input variables showed that change in the sand content (amount) and curing time will have the maximum and minimum effects on the output mean absolute percent error (MAPE) of model, respectively. Finally, the influence of different variables on the plastic concrete compressive strength values was evaluated by conducting parametric studies.

关键词： bentonite/sepiolite plastic concrete     compressive strength     artificial neural network     support vector machine     parametric analysis    

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Highly efficient and selective removal of phosphate from wastewater of sea cucumber aquaculture for microalgae culture using a new adsorption-membrane separation-coordinated strategy

《环境科学与工程前沿（英文）》 2023年 第17卷 第10期 doi: 10.1007/s11783-023-1720-2

摘要：

● A new adsorption-membrane separation strategy is used for phosphate removal.

关键词： Adsorption-membrane     Low-concentration phosphate     Zr-modified-bentonite     Recycle     Microalgal culture    

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A multi-attribute decision making approach of mix design based on experimental soil characterization

Amit K. BERA, Tanmoy MUKHOPADHYAY, Ponnada J. MOHAN, Tushar K. DEY

《结构与土木工程前沿（英文）》 2018年 第12卷 第3期   页码 361-371 doi: 10.1007/s11709-017-0425-7

摘要：

The clay mineral composition is one of the major factors that governs the physical properties of silty sand subgrade. Therefore, a thorough knowledge of mineral composition is essential to predict the optimum engineering properties of the soil, which is generally characterized by different indices like maximum dry density (MDD), California bearing ratio (CBR), unconfined compressive strength (UCS) and free swelling index (FSI). In this article, a novel multi-attribute decision making (MADM) based approach of mix design has been proposed for silty sand – artificial clay mix to improve the characteristic strength of a soil subgrade. Experimental investigation has been carried out in this study to illustrate the proposed approach of selecting appropriate proportion for the soil mix to optimize all the above mentioned engineering properties simultaneously. The results show that a mix proportion containing approximately 90% silty sand plus 10% bentonite soil is the optimal combination in context to the present study. The proposed methodology for optimal decision making to choose appropriate combination of bentonite and silty sand is general in nature and therefore, it can be extended to other problems of selecting mineral compositions.

关键词： silty sand     bentonite soil     soil mix design     multi-attribute decision making    

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标题 作者 时间 类型 操作

Facile fabrication of dolomite-doped biochar/bentonite for effective removal of phosphate from complex

期刊论文

Removal of copper ions from aqueous solution by adsorption using LABORATORIES-modified bentonite (organo-bentonite

Sandy, Velycia MARAMIS, Alfin KURNIAWAN, Aning AYUCITRA, Jaka SUNARSO, Suryadi ISMADJI

期刊论文

Novel approach to control adsorbent aggregation: iron fixed bentonite-fly ash for Lead (Pb) and Cadmium

Teza Mwamulima, Xiaolin Zhang, Yongmei Wang, Shaoxian Song, Changsheng Peng

期刊论文

Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

期刊论文

Highly efficient and selective removal of phosphate from wastewater of sea cucumber aquaculture for microalgae culture using a new adsorption-membrane separation-coordinated strategy

期刊论文

A multi-attribute decision making approach of mix design based on experimental soil characterization

Amit K. BERA, Tanmoy MUKHOPADHYAY, Ponnada J. MOHAN, Tushar K. DEY

期刊论文