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For: Duan C, Li J, Yang P, Ke G, Zhu C, Zhang S. A facile synthesis of hierarchically porous Cu-BTC for efficient removal of uranium(VI). J Radioanal Nucl Chem 2019. [DOI: 10.1007/s10967-019-06888-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Number Cited by Other Article(s)
1
Rani L, Srivastav AL, Kaushal J, Shukla DP, Pham TD, van Hullebusch ED. Significance of MOF adsorbents in uranium remediation from water. ENVIRONMENTAL RESEARCH 2023;236:116795. [PMID: 37541412 DOI: 10.1016/j.envres.2023.116795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/21/2023] [Accepted: 07/28/2023] [Indexed: 08/06/2023]
2
Deng M, Zhao L, Wang Z, Yang P, Sun Y. Preparation of phosphoric-modified aloe vera/chitosan aerogels and their efficient adsorption of U(VI). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:33229-33242. [PMID: 36478555 DOI: 10.1007/s11356-022-24527-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
3
Vigneshwaran S, Sirajudheen P, Sajna VP, Park CM, Meenakshi S. Construction of ternary (1D/2D/3D) Fe2O3-supported micro pillared Cu-based MOF on chitosan with improved photocatalytic behavior on removal of paraquat. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:24876-24889. [PMID: 35037153 DOI: 10.1007/s11356-022-18615-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 01/05/2022] [Indexed: 06/14/2023]
4
Mei D, Liu L, Yan B. Adsorption of uranium (VI) by metal-organic frameworks and covalent-organic frameworks from water. Coord Chem Rev 2023. [DOI: 10.1016/j.ccr.2022.214917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
5
Deng M, Ai Y, Zhao L, Yang P. Synthesis of zeolite X from waste basalt powder and its efficient adsorption of uranyl ions in solution. J Radioanal Nucl Chem 2022. [DOI: 10.1007/s10967-022-08458-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
6
Liu H, Fu T, Mao Y. Metal-Organic Framework-Based Materials for Adsorption and Detection of Uranium(VI) from Aqueous Solution. ACS OMEGA 2022;7:14430-14456. [PMID: 35557654 PMCID: PMC9089359 DOI: 10.1021/acsomega.2c00597] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/31/2022] [Indexed: 05/25/2023]
7
Preparation of magnetically responsive carbonized tea waste and its efficient adsorption of uranyl ions. J Radioanal Nucl Chem 2022. [DOI: 10.1007/s10967-022-08326-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
8
Zhang J, Ren Y, Xia T, Du Y, Shao L, Tang H, Yang S. Post‐synthesis metal‐organic framework for turn‐on ratiometric fluorescence sensing of UO 2 2+. Z Anorg Allg Chem 2021. [DOI: 10.1002/zaac.202100337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
9
Zhu M, Li F, Chen W, Yin X, Yi Z, Zhang S. Adsorption of U(VI) from aqueous solution by using KMnO4-modified hazelnut shell activated carbon: characterisation and artificial neural network modelling. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021;28:47354-47366. [PMID: 33891243 DOI: 10.1007/s11356-021-14034-x] [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: 11/19/2020] [Accepted: 04/16/2021] [Indexed: 06/12/2023]
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