Literature DB >> 23420275

Comparative study of graphene oxide, activated carbon and carbon nanotubes as adsorbents for copper decontamination.

Xuemei Ren1, Jiaxing Li, Xiaoli Tan, Xiangke Wang.   

Abstract

This paper presents a comparative study of Cu(II) decontamination by three different carbonaceous materials, i.e., graphene oxide, multiwalled carbon nanotubes, and activated carbon. The three carbonaceous materials were characterized by scanning electron microscopy, Fourier transform infrared spectroscopy, N2-BET surface area analysis, and potentiometric acid-base titrations in detail. Also, Cu(II) adsorption on the three types of carbonaceous materials as a function of pH and Cu(II) ion concentration were investigated. The constant capacitance model was used to determine the appropriate surface reactions of Cu(II) adsorption on carbonaceous materials with the aid of FITEQL 4.0 software. In addition, how the surface area and the total concentration of acidic functional groups influencing the adsorption capacities of the three carbonaceous materials for Cu(II) removal were elucidated. The results have an important role in predicting the adsorption capacity of surface modified carbonaceous materials.

Entities:  

Year:  2013        PMID: 23420275     DOI: 10.1039/c3dt32969k

Source DB:  PubMed          Journal:  Dalton Trans        ISSN: 1477-9226            Impact factor:   4.390


  17 in total

1.  Analysis of mercury adsorption at the gibbsite-water interface using the CD-MUSIC model.

Authors:  Chang Min Park
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-22       Impact factor: 4.223

2.  Effects of Cd(II) on the stability of humic acid-coated nano-TiO2 particles in aquatic environments.

Authors:  Li Wang; Yixin Lu; Chen Yang; Chengyu Chen; Weilin Huang; Zhi Dang
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-21       Impact factor: 4.223

3.  Adsorptive removal of strontium ions from aqueous solution by graphene oxide.

Authors:  Min Xing; Shuting Zhuang; Jianlong Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-11       Impact factor: 4.223

Review 4.  The role of graphene oxide and graphene oxide-based nanomaterials in the removal of pharmaceuticals from aqueous media: a review.

Authors:  Ayub Khan; Jian Wang; Jun Li; Xiangxue Wang; Zhongshan Chen; Ahmed Alsaedi; Tasawar Hayat; Yuantao Chen; Xiangke Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-01-22       Impact factor: 4.223

Review 5.  Covalent and Non-covalent Functionalized Nanomaterials for Environmental Restoration.

Authors:  Shizhong Zhang; Sumeet Malik; Nisar Ali; Adnan Khan; Muhammad Bilal; Kashif Rasool
Journal:  Top Curr Chem (Cham)       Date:  2022-08-11

Review 6.  Orderly Porous Covalent Organic Frameworks-based Materials: Superior Adsorbents for Pollutants Removal from Aqueous Solutions.

Authors:  Xiaolu Liu; Hongwei Pang; Xuewei Liu; Qian Li; Ning Zhang; Liang Mao; Muqing Qiu; Baowei Hu; Hui Yang; Xiangke Wang
Journal:  Innovation (Camb)       Date:  2021-01-05

7.  A novel method for highly effective removal and determination of binary cationic dyes in aqueous media using a cotton-graphene oxide composite.

Authors:  A A Nayl; A I Abd-Elhamid; M A Abu-Saied; Ahmed A El-Shanshory; Hesham M A Soliman; Magda A Akl; H F Aly
Journal:  RSC Adv       Date:  2020-02-24       Impact factor: 4.036

8.  Nanoscale zero-valent iron functionalized Posidonia oceanica marine biomass for heavy metal removal from water.

Authors:  Saber Boubakri; Mohamed Amine Djebbi; Zaineb Bouaziz; Philippe Namour; Abdesslem Ben Haj Amara; Ibtissem Ghorbel-Abid; Rafik Kalfat
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-07       Impact factor: 4.223

9.  Graphene oxide/polydimethylsiloxane composite sponge for removing Pb(ii) from water.

Authors:  Liao Liu; Jiannan Chen; Wuhuan Zhang; Meikun Fan; Zhengjun Gong; Jianqiang Zhang
Journal:  RSC Adv       Date:  2020-06-11       Impact factor: 4.036

10.  Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe₃O₄ Composites with the Aid of an Artificial Neural Network and Genetic Algorithm.

Authors:  Rensheng Cao; Mingyi Fan; Jiwei Hu; Wenqian Ruan; Kangning Xiong; Xionghui Wei
Journal:  Materials (Basel)       Date:  2017-11-07       Impact factor: 3.623

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