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Cited by 674

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Cellulose Nanomaterials in Water Treatment Technologies

Open access
Carpenter, Alexis Wells, de Lannoy, Charles-François, Wiesner, Mark R.·2015·Environmental Science & Technology

Abstract

Cellulose nanomaterials are naturally occurring with unique structural, mechanical and optical properties. While the paper and packaging, automotive, personal care, construction, and textiles industries have recognized cellulose nanomaterials' potential, we suggest cellulose nanomaterials have great untapped potential in water treatment technologies. In this review, we gather evidence of cellulose nanomaterials' beneficial role in environmental remediation and membranes for water filtration, including their high surface area-to-volume ratio, low environmental impact, high strength, functionalizability, and sustainability. We make direct comparison between cellulose nanomaterials and carbon nanotubes (CNTs) in terms of physical and chemical properties, production costs, use and disposal in order to show the potential of cellulose nanomaterials as a sustainable replacement for CNTs in water treatment technologies. Finally, we comment on the need for improved communication and collaboration across the myriad industries invested in cellulose nanomaterials production and development to achieve an efficient means to commercialization.

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Metadata

Authors
Carpenter, A. W., de Lannoy, C.-F., & Wiesner, M. R.
Venue
Environmental Science & Technology
Published
2015-04-15
Volume
49
Issue
9
Pages
5277-5287
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2048887983
Cited by
674
References
5
FWCI
19.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cellulose Nanomaterials in Water Treatment Technologies. https://app.cochat.ai/papers/10.1021/es506351r
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Carpenter, A. W., de Lannoy, C.-F., & Wiesner, M. R. (2015). Cellulose Nanomaterials in Water Treatment Technologies. Environmental Science & Technology. https://doi.org/10.1021/es506351r

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.