Evidence map›Paper›PMID 42502914›Full record

ReviewMacromolecular rapid communications2026

Advances in Cellulose-Based Materials for Bionic Sensors.

Shu Yu, Zhengyan Bao, MinQi Yu, Qi Zhang

Abstract readReview
In one paragraph

Review in Macromolecular rapid communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shu YuSchool of Energy and Environment, Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China.
Zhengyan BaoSchool of Energy and Environment, Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China.
MinQi YuSchool of Energy and Environment, Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China.
Qi ZhangSchool of Energy and Environment, Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0003-4840-0129

Funding

Fundamental Research Funds for the Central Universities 2242022R10058National Natural Science Foundation of China 52576195
6 · The paper itself

Abstract

As an emerging front-end information acquisition device, bionic sensors dynamically collect and digitally display natural signals by mimicking biological perception mechanisms. With their flexibility, lightweight design, and broad applicability, they are progressively serving as a bridge connecting wearable flexible devices with smart living. Cellulose-based materials, derived from the Earth's abundant and renewable polymer resources, exhibit a combination of non-toxicity, biodegradability, sustainability, excellent mechanical properties, rich chemical structures, and tunability. These characteristics make them an ideal choice for green and flexible bionic sensor materials. This article centers on the application and advancement of cellulose-based materials in bionic sensors. It first introduces three fundamental working modes of bionic sensors and their adapted scenarios, summarizes commonly employed cellulose-based materials, and exemplifies their applications in bionic sensing. The study highlights the wide-ranging application prospects of such sensors in healthcare, human-machine interaction (HMI), and motion monitoring. To guide future efforts, this perspective concludes by presenting the key challenges and promising directions for advancing high-performance cellulose-based bionic sensors.

Indexed as

BionicsBiosensing TechniquesCelluloseHumansWearable Electronic DevicesCellulosebionic sensorscellulose‐based materialsflexible sensors

Identifiers

PMID42502914
PMCPMC13542748

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.