Evidence map›Paper›PMID 40868785›Full record

ArticleGels (Basel, Switzerland)2025

Carbon Dot Integrated Cellulose-Based Green-Fluorescent Aerogel for Detection and Removal of Copper Ions in Water.

Guanyan Fu, Chenzhan Peng, Jiangrong Yu, Jiafeng Cao, Shilin Peng, Tian Zhao, Dong Xu

Abstract read
In one paragraph

Article 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. 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

7 authors.

Guanyan FuHunan Occupational Disease Prevention and Control Institute, Changsha 410004, China.
Chenzhan PengNational Key Laboratory of Woody Oil Resources Utilization, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.
Jiangrong YuSchool of Materials Science and Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Jiafeng CaoNational Key Laboratory of Woody Oil Resources Utilization, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.
Shilin PengSchool of Materials Science and Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Tian ZhaoSchool of Materials Science and Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0000-0003-0745-1405
Dong XuNational Key Laboratory of Woody Oil Resources Utilization, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.

Funding

Natural Science Foundation of Hunan Province 2024JJ7164
6 · The paper itself

Abstract

Industrial pollution caused by Cu(II) ions remains one of the most critical environmental challenges worldwide. A novel green-fluorescent aerogel has been successfully developed for simultaneous sensing and adsorption of Cu(II) through the cross-linking of carboxymethyl nanocellulose and carbon dots (C dots) using epichlorohydrin as a linker. The C dots were synthesized by heating glucose and aspartate mixed solutions at 150 °C. Under UV illumination, the aerogel exhibited intense homogeneous green fluorescence originating from the uniformly dispersed C dots, whose emission can be efficiently quenched by Cu(II) ions. By leveraging smartphone-based imaging, the concentration of Cu(II) was quantified within the range of 5-200 µg/L, with a detection limit of 3.7 µg/L. The adsorption isotherm of Cu(II) onto the aerogel strictly conformed to the Freundlich isotherm model (fitting coefficient R

Indexed as

aerogelcarbon dotcopper ionfluorescent sensingremoval

Identifiers

PMID40868785
PMCPMC12386015

What OpenQuestion holds

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LicenceCC BY
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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.