Enhanced interfacial interactions and enriched active sites in self-assembly amino-functionalized bacterial cellulose/MXene composite for wastewater treatment - Details

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Abstract：

With　rapid　industrialization　and　economic　growth,　the　serious　environmental　pollution　caused　by　heavy　metals　and　dyes　is　a　pressing　issue　to　be　solved.　The　efficient　construction　of　enriched　active　sites　and　porous　structures　is　the　key　to　obtain　water　purification　material　for　pollution　removal.　In　this　study,　an　efficient　electrostatic　self-assembly　strategy　to　achieve　amino-functionalized　bacterial　cellulose/Ti3C2Tx　MXene　(ABC/MX)　composite　with　a　3D　cross-linked　porous　structure　has　been　proposed.　Experimental　characterization　and　theoretical　calculations　reveal　that　the　successful　incorporation　of　amino　groups　not　only　enhances　the　interfacial　interactions　between　BC　nanofibers　and　Ti3C2Tx　nanosheets,　but　also　increases　the　active　sites　available　for　adsorption.　The　results　highlight　that　the　ABC/MX　composite　exhibits　exceptional　removal　efficiency,　with　maximum　adsorption　capacities　of　200.7　mg/g　for　Cr(VI)　and　1103.7　mg/g　for　Congo　red　(CR).　In　particular,　it　reveals　that　the　multifaceted　adsorption　processes　of　Cr(VI)　and　CR　involve　electrostatic　interactions,　reduction　reactions,　chelation,　and　hydrogen　bonding　effects.　These　findings　highlight　a　versatile　strategy　for　synthesizing　BC-based　adsorbents　with　remarkable　adsorption　properties　and　are　suitable　for　practical　wastewater　treatment　applications.　©　2024

Keyword：

Adsorption Cellulose Chemicals removal (water treatment) Chromium compounds Density functional theory Heavy metals Hydrogen bonds Porosity Self assembly Titanium compounds Wastewater treatment Water pollution

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[ 1 ] [Xu, Yuanyuan]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou; 350100, China
[ 2 ] [Zhang, Zhiyuan]Fujian Research Institute of Water Conservancy and Hydropower, Fuzhou; 350001, China
[ 3 ] [Cui, Zhou]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou; 350100, China
[ 4 ] [Luo, Lijin]Fujian Institute of Microbiology, Fuzhou; 350007, China
[ 5 ] [Lin, Peng]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou; 350100, China
[ 6 ] [Xie, Maojie]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou; 350100, China
[ 7 ] [Zhang, Qiying]Fujian Research Institute of Water Conservancy and Hydropower, Fuzhou; 350001, China
[ 8 ] [Sa, Baisheng]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou; 350100, China
[ 9 ] [Wen, Cuilian]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou; 350100, China

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Chemical Engineering Journal

ISSN： 1385-8947

Year： 2024

Volume： 488

1 3 . 4 0 0

JCR@2023

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SCOPUS Cited Count： 1

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30 Days PV： 2

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