Evidence map›Paper›PMID 40236581›Full record

ArticleRSC advances2025

High-response humidity sensing with graphene oxide/lignosulfonate and laser-induced graphene for respiratory health.

Yanbo Peng, Yuhong Zhao, Ying Yuan, Wei Meng, Wenhe Jiang, Xiluan Wang

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Yanbo PengBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University Beijing 100083 P. R. China wangxiluan@bjfu.edu.cn.
Yuhong ZhaoBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University Beijing 100083 P. R. China wangxiluan@bjfu.edu.cn.
Ying YuanBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University Beijing 100083 P. R. China wangxiluan@bjfu.edu.cn.
Wei MengBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University Beijing 100083 P. R. China wangxiluan@bjfu.edu.cn.
Wenhe JiangBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University Beijing 100083 P. R. China wangxiluan@bjfu.edu.cn.
Xiluan WangBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University Beijing 100083 P. R. China wangxiluan@bjfu.edu.cn.ORCID https://orcid.org/0000-0002-6718-6255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most current commercial humidity sensors rely on precious metals and chemicals. In this study, alkali lignin produced in the paper industry was utilized to form a film with hydroxyethyl cellulose to generate laser-induced graphene (LIG) as an electrode material for a sensor by the laser-induction technique. LIG exhibits excellent conductivity, and the experimental results demonstrate that its resistivity can be adjusted by laser power without the necessity for additional conductive materials. A solution comprising a blend of graphene oxide and sodium lignosulfonate was introduced to the LIG surface in a dropwise manner, thereby establishing a sensing surface. This process resulted in the introduction of hydrophilic groups, including carboxyl, phenolic hydroxyl, and sulfonic acid. The integration of these hydrophilic groups enhanced the surface's sensitivity to humidity, thereby facilitating the precise capture of alterations in ambient air humidity. The humidity sensor, which employs alkali lignin and lignin laser-induced graphene as electrodes and graphene oxide (GO) as the humidity-sensitive layer, exhibits an exceptionally high degree of sensitivity to humidity. The response reached 42.74 (

Identifiers

PMID40236581
PMCPMC11997752

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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.