Evidence map›Paper›PMID 39996683›Full record

ReviewGels (Basel, Switzerland)2025

Modified Nanocellulose Hydrogels and Applications in Sensing Fields.

Lan Yang, Qian-Yu Yuan, Ching-Wen Lou, Ting-Ting Li, Jia-Horng Lin

Abstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lan YangSchool of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.
Qian-Yu YuanSchool of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.
Ching-Wen LouSchool of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.ORCID 0000-0002-5448-6347
Ting-Ting LiSchool of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.
Jia-Horng LinSchool of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.ORCID 0000-0002-6913-8986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the intensification of global warming and the greenhouse effect, the exploration and research of sustainable sensors have become a research direction of people. Cellulose-based hydrogels, as a new kind of green material with strong plasticity, have become a popular material for sensor development. Due to the limited mechanical properties and poor compatibility of single-cellulose-based hydrogels, researchers have modified them to not only retain the original excellent properties of cellulose hydrogels, but also increase other properties, which has broadened the field of developing cellulose hydrogel sensors. From 2017 to 2020, cellulose-based hydrogel sensors were mainly used for biosensing applications, with a focus on the detection of biomolecules. Since then, researchers have increasingly turned their attention to pressure and strain sensors, especially those that are flexible and suitable for wearable devices. This paper introduces the modification of cellulose and cellulose-based hydrogels in detail, and lists the applications of modified cellulose-based hydrogels in different functional sensor directions, which provides different ideas for the application of modified cellulose-based hydrogels in the field of sensing, and proves that they have great potential in the field of sensing.

Indexed as

cellulose-based hydrogelcellulose-based hydrogel modificationcellulose modificationpressure sensingsensor

Identifiers

PMID39996683
PMCPMC11855029

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.