In situ growing directional spindle TiO 2 nanocrystals on cellulose fibers for enhanced Pb 2+ adsorption from water
Abstract
TiO2/cellulose nanocomposite was synthesized by in situ generation of titanium dioxide (TiO2) nanocrystals on cellulose fibers (CF) via facile hydrolysis of TiOSO4. Cellulose was intended as a scaffold to immobilize TiO2 nanoparticles (NPs), but turned out surprisingly to be also a chemical template that directed the crystal growth. As a result, spindle rutile TiO2 crystals were nicely formed on the surface of cellulose. These crystals were further controlled to disperse uniformly without agglomeration for better use of their surface area to adsorb heavy metals. The TiO2/CF composite showed enhanced adsorption capacity, good regenerability and selectivity for lead (Pb(2+)) removal. In addition, the composite fibers were readily fabricated into a nonwoven filter bed through which dynamic filtration experiment was conducted. A 12-fold increase in filtered bed volume was achieved for TiO2/CF bed compared with pure CF bed before breakthrough took place. This work provides a green pathway for fabricating low cost, high efficiency and engineering application possible nanosorbents for water decontamination.
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TiO2/cellulose fiber (CF) composite showed enhanced adsorption capacity, good regenerability and selectivity for lead (Pb2+) removal.
“TiO 2 /CF composite showed enhanced adsorption capacity, good regenerability and selectivity for lead (Pb 2+ ) removal.”
From Sustainable hybrid photocatalysts: titania immobilized on carbon materials derived from renewable and biodegradable resources (2016) · cites this paper as [58]
The adsorption capacity of a filter bed comprising TiO2/CF nanocomposite fibers increased 12-fold compared to a pure cellulose fiber bed.
“Moreover, the adsorption capacity of a filter bed comprising nanocomposite fibers increased 12-fold as compared to the pure cellulose fiber bed;”
From Sustainable hybrid photocatalysts: titania immobilized on carbon materials derived from renewable and biodegradable resources (2016) · cites this paper as [58]
Abundant hydroxyl groups on the cellulose fiber surface adsorb TiO2+ first as nucleation sites, and then TiO2 nuclei form via hydrolysis-condensation and grow into TiO2 nanocrystals.
“abundant hydroxyl groups on the CF surface adsorb TiO 2+ first as nucleation sites and then TiO 2 nuclei are formed via hydrolysis-condensation which subsequently grow into TiO 2 nanocrystals.”
From Sustainable hybrid photocatalysts: titania immobilized on carbon materials derived from renewable and biodegradable resources (2016) · cites this paper as [58]
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- Authors
- Li, Y., Cao, L., Li, L., & Yang, C.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Yang, Chuanfang
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 289
- Pages
- 140-148
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W2064041653
- Cited by
- 99
- References
- 48
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 8 · 2022: 15 · 2021: 9 · 2020: 8 · 2019: 11 · 2018: 14 · 2017: 8 · 2016: 15 · 2015: 2
- FWCI
- 8.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Hazardous Materials (publishedVersion)
- PubMed (publishedVersion)
- Institute of Process Engineering, CAS Institutional Repository (submittedVersion)
- Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
- Physical Sciences › Engineering › Biomedical Engineering › Environmental remediation with nanomaterials
- Physical Sciences › Environmental Science › Water Science and Technology › Coagulation and Flocculation Studies
- Keywords
- nanocrystalline TiO2, cellulose fibers, lead adsorption, Pb2+ removal, in situ crystal growth, rutile TiO2, heavy metal removal, adsorbent regeneration, water remediation
- MeSH terms
- Adsorption, Cellulose, Lead, Thermodynamics, Titanium, Water Pollutants, Chemical, Models, Statistical, Water Purification, Nanoparticles
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