Silver nanoparticle-decorated reduced graphene oxide/ nanocrystalline titanium metal-organic frameworks composite membranes with enhanced nanofiltration performance and photocatalytic ability

Nanofiltration (NF) has garnered significant attention for removing persistent dyes from industrial wastewater. However, limited membrane separation efficiency and performance deterioration due to membrane fouling are the primary challenges hindering the broader application of NF technology. Herein, we developed high-performance silver nanoparticle-coated reduced graphene oxide/nanocrystalline MIL125(Ti) composite NF membranes (nAg-rGO/n-MIL), which feature self-cleaning capabilities through photocatalytic activity. This was achieved by intercalating nanocrystalline MIL-125(Ti) (n-MIL) metal-organic frameworks between graphene oxide (GO) nanosheets, followed by reducing the GO nanosheets and decorating them with silver nanoparticles (nAg) via UV exposure. The nAg-rGO/n-MIL demonstrated high water permeability (21.7 LMH/bar) and achieved excellent removal efficiencies for targeting dyes with relatively small molecular weights ranging from 300 to 500 Da. Additionally, when operated in an NF system equipped with a UV side-emitting optical fiber, the nAg-rGO/n-MIL exhibited significantly reduced water flux decline and enhanced removal efficiencies, achieving up to 97.5 % for methylene blue. Moreover, the nAg-rGO/n-MIL demonstrated high durability under the tested operating conditions, indicating its potential for long-term use in industrial applications. The GO composite membrane, with nanosized MOF-intercalated nanochannels and photocatalytic activity via nAg decoration and GO reduction, offers a promising solution to performance limitations and fouling issues in current nanofiltration membranes. • GO/n-MIL membranes were fabricated using pressure- or vacuum-assisted filtration. • Pressure-assisted filtration aligned GO nanochannels, enhancing membrane performance. • AgNO 3 dipping with UV treatment reduced GO layers and coated them with nAg. • The nAg-rGO/n-MIL membrane showed excellent water permeability and dye rejection. • The nAg-rGO/n-MIL exhibited stability and self-cleaning with UV-side emitting optic fiber.

Authors

Institutions

Publication Details

Journal
Desalination and Water Treatment
Published
2024-10-01
DOI
https://doi.org/10.1016/j.dwt.2024.100836
Citations
8
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Silver nanoparticle-decorated reduced graphene oxide/ nanocrystalline titanium metal-organic frameworks composite membranes with enhanced nanofiltration performance and photocatalytic ability

Chong Yang Chuah, Hobin Jee, Euntae Yang, Seung Hyun Song et al.
8 citations
Desalination and Water Treatment
Membrane Separation Technologies
1.61
article

Silver nanoparticle-decorated reduced graphene oxide/ nanocrystalline titanium metal-organic frameworks composite membranes with enhanced nanofiltration performance and photocatalytic ability

Chong Yang Chuah, Hobin Jee, Euntae Yang, Seung Hyun Song, Chang‐Min Kim, Ishaq Ahmad, Jongkwan Park, Khirul Md Akhte, Kyu-Jung Chae
article en
8 citations

Abstract

Nanofiltration (NF) has garnered significant attention for removing persistent dyes from industrial wastewater. However, limited membrane separation efficiency and performance deterioration due to membrane fouling are the primary challenges hindering the broader application of NF technology. Herein, we developed high-performance silver nanoparticle-coated reduced graphene oxide/nanocrystalline MIL125(Ti) composite NF membranes (nAg-rGO/n-MIL), which feature self-cleaning capabilities through photocatalytic activity. This was achieved by intercalating nanocrystalline MIL-125(Ti) (n-MIL) metal-organic frameworks between graphene oxide (GO) nanosheets, followed by reducing the GO nanosheets and decorating them with silver nanoparticles (nAg) via UV exposure. The nAg-rGO/n-MIL demonstrated high water permeability (21.7 LMH/bar) and achieved excellent removal efficiencies for targeting dyes with relatively small molecular weights ranging from 300 to 500 Da. Additionally, when operated in an NF system equipped with a UV side-emitting optical fiber, the nAg-rGO/n-MIL exhibited significantly reduced water flux decline and enhanced removal efficiencies, achieving up to 97.5 % for methylene blue. Moreover, the nAg-rGO/n-MIL demonstrated high durability under the tested operating conditions, indicating its potential for long-term use in industrial applications. The GO composite membrane, with nanosized MOF-intercalated nanochannels and photocatalytic activity via nAg decoration and GO reduction, offers a promising solution to performance limitations and fouling issues in current nanofiltration membranes. • GO/n-MIL membranes were fabricated using pressure- or vacuum-assisted filtration. • Pressure-assisted filtration aligned GO nanochannels, enhancing membrane performance. • AgNO 3 dipping with UV treatment reduced GO layers and coated them with nAg. • The nAg-rGO/n-MIL membrane showed excellent water permeability and dye rejection. • The nAg-rGO/n-MIL exhibited stability and self-cleaning with UV-side emitting optic fiber.

Desalination and Water TreatmentVol. 320
Changwon National University (KR), Gyeongsang National University (KR), Korea University (KR), Korea Maritime and Ocean University (KR), University of Malaya (MY)
National Research Foundation of Korea, Korea Institute of Marine Science and Technology promotion
Openalex Percentile: Top 18%
Membrane Separation Technologies
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.