Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 573

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

Preparation of cellulose-based hydrogel: a review

Open access
Zainal, Sarah Husnaini, Mohd, Nurul Hanisah, Suhaili, Nabilah, Anuar, Farah Hannan, Lazim, Azwan Mat, Othaman, Rizafizah·2021·Journal of Materials Research and Technology

Abstract

This paper reviews the preparation of hydrogel based on cellulose and its derivatives. Cellulose is the most abundant natural organic polymer on earth. To date, the exploitation of cellulose has been studied in various applications. However, cellulose has low solubility in water and most organic solvents. Thus, specific solvent systems such as NaOH/urea, NaOH/thiourea, lithium chloride, and ionic liquids need to be employed to vary cellulose application. The hydrogel is a 3D network structure that can retain a tremendous amount of water and highly dependent on the crosslinking property. It is important to use a compatible technique for a specific purpose. The paper discusses the materials and crosslinking techniques via chemical, physical, and polymerization, to produce hydrogels from dissolved cellulose and its derivatives.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jmrt.2020.12.012

Cites

91 of 91 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Show all 91 references

Cited by

See all 573

Metadata

Authors
Zainal, S. H., Mohd, N. H., Suhaili, N., Anuar, F. H., Lazim, A. M., & Othaman, R.
Venue
Journal of Materials Research and Technology
Publisher
Elsevier BV
Published
2021-01
Volume
10
Pages
935-952
ISSN
  • 2214-0697 (ISSN-L)
  • 2238-7854
OpenAlex
W3111539229
Cited by
573
References
91
FWCI
14.10
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Preparation of cellulose-based hydrogel: a review. https://app.cochat.ai/papers/10.1016/j.jmrt.2020.12.012
The paper
Zainal, S. H., Mohd, N. H., Suhaili, N., Anuar, F. H., Lazim, A. M., & Othaman, R. (2021). Preparation of cellulose-based hydrogel: a review. Journal of Materials Research and Technology. https://doi.org/10.1016/j.jmrt.2020.12.012

Data sources

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.