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Yaqub M, Mee-Ngern L, Lee W. Cesium adsorption from an aqueous medium for environmental remediation: A comprehensive analysis of adsorbents, sources, factors, models, challenges, and opportunities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175368. [PMID: 39122022 DOI: 10.1016/j.scitotenv.2024.175368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/07/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024]
Abstract
Considering the widespread and indispensable nature of nuclear energy for future power generation, there is a concurrent increase in the discharge of radioactive Cs into water streams. Recent studies have demonstrated that adsorption is crucial in removing Cs from wastewater for environmental remediation. However, the existing literature lacks comprehensive studies on various adsorption methods, the capacities or efficiencies of adsorbents, influencing factors, isotherm and kinetic models of the Cs adsorption process. A bibliometric and comprehensive analysis was conducted using 1179 publications from the Web of Science Core Collection spanning from 2014 to 2023. It reviews and summarizes current publication trends, active countries, adsorption methods, adsorption capacities or efficiencies of adsorbents, tested water sources, influencing factors, isotherm, and kinetic models of Cs adsorption. The selection of suitable adsorbents and operating parameters is identified as a crucial factor. Over the past decade, due to their notable capacity for Cs adsorption, considerable research has focused on novel adsorbents, such as Prussian blue, graphene oxide, hydrogel, and nanoadsorbents (NA). However, there remains a need for further development of application-oriented laboratory-scale experiments. Future research directions should encompass exploring adsorption mechanisms, developing new adsorbents or their combinations, practical applications of lab-scale studies, and recycling radioactive Cs from wastewater. Drawing upon this literature review, we present the most recent research patterns concerning adsorbents to remove Cs, outline potential avenues for future research, and delineate the obstacles hindering effective adsorption. This comprehensive bibliometric review provides valuable insights into prevalent research focal points and emerging trends, serving as a helpful resource for researchers and policymakers seeking to understand the dynamics of adsorbents for Cs removal from water.
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Affiliation(s)
- Muhammad Yaqub
- Department of Environmental Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea.
| | - Ladawan Mee-Ngern
- Department of Environmental Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea
| | - Wontae Lee
- Department of Environmental Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea.
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Adsorption of Methyl Orange onto Perlite: Optimization, Adsorption Kinetics, and Thermodynamic Studies. CHEMISTRY AFRICA 2022. [DOI: 10.1007/s42250-022-00548-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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İnan S, Kusumkar VV, Galamboš M, Viglašová E, Rosskopfová O, Daňo M. Isotherm, Kinetic, and Selectivity Studies for the Removal of 133Ba and 137Cs from Aqueous Solution Using Turkish Perlite. MATERIALS (BASEL, SWITZERLAND) 2022; 15:7816. [PMID: 36363408 PMCID: PMC9654746 DOI: 10.3390/ma15217816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/31/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
The efficiency of 133Ba and 137Cs removal from aqueous solution is vital to mitigate ecological concerns over spreading these radionuclides in the environment. The present work focused on the use of Turkish perlite for the sorptive removal of 133Ba and 137Cs from aqueous solution by the radioindicator method. Perlite was characterized by XRF, XRD, FTIR, SEM−EDX, and BET analyses. The maximum percentage removals of 88.2% and 78.7% were obtained for 133Ba and 137Cs at pH 6 and pH 9, respectively. For both ions, the sorption equilibrium was attained relatively rapidly. Experimental kinetic data were well described with pseudo-second-order and intraparticle diffusion models. The uptake of both ions increased with the increase in metal concentration (1 × 10−5 to 5 × 10−2 mol/L) in solution. The maximum uptake capacities of 133Ba and 137Cs were found to be 1.96 and 2.11 mmol/g, respectively. The effect of competing ions decreased in the order of Ca2+>K+>Ni2+>Na+ for 133Ba sorption, whereas for 137Cs sorption, the order was determined as Ca2+>Ni2+>K+>Na+. Selectivity studies pointed out that sorption of 133Ba onto perlite is preferable to 137Cs. Therefore, Turkish perlite is a promising, cost-effective, and efficient natural material for the removal of 133Ba and 137Cs from relatively diluted aqueous solution.
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Affiliation(s)
- Süleyman İnan
- Institute of Nuclear Sciences, Ege University, Bornova, 35100 İzmir, Türkiye
- Department of Nuclear Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, 842 15 Bratislava, Slovakia
| | - Vipul Vilas Kusumkar
- Department of Nuclear Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, 842 15 Bratislava, Slovakia
| | - Michal Galamboš
- Department of Nuclear Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, 842 15 Bratislava, Slovakia
| | - Eva Viglašová
- Department of Nuclear Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, 842 15 Bratislava, Slovakia
| | - Oľga Rosskopfová
- Department of Nuclear Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovicova 6, 842 15 Bratislava, Slovakia
| | - Martin Daňo
- Department of Nuclear Chemistry, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, 115 19 Prague, Czech Republic
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Huang T, Song D, Chen X, Cao J, Jin JX, Liu W, Zhang SW, Liu LF, Yang CH, Zhou L, Xu J. A green rust-coated expanded perlite particle electrode-based adsorption coupling with the three-dimensional electrokinetics that enhances hexavalent chromium removal. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 213:112003. [PMID: 33588188 DOI: 10.1016/j.ecoenv.2021.112003] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/23/2021] [Accepted: 01/26/2021] [Indexed: 06/12/2023]
Abstract
A green rust-coated expanded perlite (GR-coated Exp-p) microelectrode was synthesized and incorporated into a column-mode three-dimensional electrokinetic (3D-EK) platform to effectively pursue a continuous Cr(VI) removal from the aqueous solution. Brucite-like layers of GR were decorated onto the Exp-p material. The molar ratio of Fe(II) to Fe(III) played a most vital role among the three synthesis factors in influencing the performance of the particle electrode. For the equilibrium adsorption experiments, the target maximum adsorption capacity of 122 mg/g was predicted by a target optimizer and desirability function at the conditions following the pH of 4.7, the initial concentration of 172.4 mg/L, the dosage of 0.28 g/L, and the temperature of 28.96 °C, respectively. SO42-, Cl-, and NO3- fiercely competed with Cr(VI) anions in the acidic conditions for the locally positive sites. A low concentration and a slow flow were favored in the column-mode 3D-EK platform. The pseudo-first-order and Langmuir models were suitable for describing the kinetics and isotherms of the adsorption process, respectively. Cr(VI) anions were electrostatically attracted to the silanol groups and GR surface of the adsorbent, subsequently reduced in both heterogeneity and homogeneity, and finally immobilized by coordinating with silanediol groups and silanetriol groups.
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Affiliation(s)
- Tao Huang
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China; Suzhou Key Laboratory of Functional Ceramic Materials, Changshu Institute of Technology, Changshu 215500, China; School of Chemical Engineering & Technology, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
| | - Dongping Song
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China.
| | - Xiangping Chen
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China
| | - Jun Cao
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China
| | - Jun-Xun Jin
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China
| | - Wanhui Liu
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China; Suzhou Key Laboratory of Functional Ceramic Materials, Changshu Institute of Technology, Changshu 215500, China
| | - Shu-Wen Zhang
- Nuclear Resources Engineering College, University of South China, 421001, China
| | - Long-Fei Liu
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China; Suzhou Key Laboratory of Functional Ceramic Materials, Changshu Institute of Technology, Changshu 215500, China
| | - Chun-Hai Yang
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China; Suzhou Key Laboratory of Functional Ceramic Materials, Changshu Institute of Technology, Changshu 215500, China
| | - Lulu Zhou
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China
| | - Jiaojiao Xu
- School of Chemistry and Materials Engineering, Changshu Institute of Technology, No. 99, South 3rd Ring Road, Changshu 215500, China
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Rahman MM, Karmaker SC, Pal A, Eljamal O, Saha BB. Statistical techniques for the optimization of cesium removal from aqueous solutions onto iron-based nanoparticle-zeolite composites. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:12918-12931. [PMID: 33097999 DOI: 10.1007/s11356-020-11258-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
Statistical optimization of performance determining factors is essential for the development of a cesium removal system from aqueous solutions. Therefore, factorial experimental design and multiple regression techniques were employed to assess the primary and interaction effects of the pH, initial concentration, and contact time in the cesium removal process using nanoscale zero-valent iron-zeolite (nZVI-Z) and nano-Fe/Cu-zeolite (nFe/Cu-Z) as an adsorbent. The optimum region of cesium removal was identified by constructing a contour plot. The study revealed that initial concentration was the most significant factor followed by contact time. The study also suggested that maximum cesium removal occurred at pH, initial concentration, and contact time of 6, 200 mg/L, and 30 min, respectively. Moreover, the statistically significant interaction effect was observed between contact time and initial concentration. The experimental data were also fitted with Tόth, Langmuir, Dubinin-Astakhov (D-A), Freundlich, and Hill models and found that the Tόth model fitted better compared with the other four models based on Akaike information criterion (AIC) and root-mean-square deviation (RMSD). The findings of this paper can undoubtedly contribute to constructing the optimum statistical process of removing hazardous pollutants from the water, which significantly impacts on human health and the environment. Graphical abstract.
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Affiliation(s)
- Md Matiar Rahman
- Mechanical Engineering Department, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
- International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
- Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Shamal Chandra Karmaker
- Mechanical Engineering Department, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
- International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
- Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Animesh Pal
- Department of Nuclear Engineering, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Osama Eljamal
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga-Koen Kasuga, Fukuoka, 816-8580, Japan
| | - Bidyut Baran Saha
- Mechanical Engineering Department, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
- International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
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