Evidence map›Paper›PMID 35480218›Full record

ArticleRSC advances2021

Preparation of a double-network hydrogel based on wastepaper and its application in the treatment of wastewater containing copper(ii) and methylene blue.

Yaoning Chen, Linshenzhang Li, Yuanping Li, Yihuan Liu, Yanrong Chen, Hui Li, Meiling Li, Fangting Xu, Yuqing Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2021. 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. Review
  2. Review
  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

9 authors.

Yaoning ChenCollege of Environmental Science and Engineering, Hunan University Changsha 410082 China cyn@hnu.edu.cn +86 731 88821413 +86 731 88821413.ORCID https://orcid.org/0000-0002-3457-100X
Linshenzhang LiCollege of Environmental Science and Engineering, Hunan University Changsha 410082 China cyn@hnu.edu.cn +86 731 88821413 +86 731 88821413.
Yuanping LiCollege of Municipal and Mapping Engineering, Hunan City University Yiyang Hunan 413000 China yuanpingl@163.net.
Yihuan LiuCollege of Environmental Science and Engineering, Hunan University Changsha 410082 China cyn@hnu.edu.cn +86 731 88821413 +86 731 88821413.
Yanrong ChenCollege of Environmental Science and Engineering, Hunan University Changsha 410082 China cyn@hnu.edu.cn +86 731 88821413 +86 731 88821413.
Hui LiState Key Laboratory of Utilization of Woody Oil Resource, Hunan Academy of Forestry Changsha 410004 P.R. China.
Meiling LiCollege of Environmental Science and Engineering, Hunan University Changsha 410082 China cyn@hnu.edu.cn +86 731 88821413 +86 731 88821413.
Fangting XuCollege of Environmental Science and Engineering, Hunan University Changsha 410082 China cyn@hnu.edu.cn +86 731 88821413 +86 731 88821413.
Yuqing LiuShenzhen Zhongrun Zhihuan Ecological Environment Technology Co., Ltd Shenzhen 518000 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reclaim and utilize wastepaper (WP), a WP/acrylamide double-network hydrogel (WP/PAM) was prepared to transform WP into efficient adsorbent for heavy metals and dye wastewater treatment. The structure and properties of the WP/PAM were characterized systematically by scanning electron microscopy (SEM), thermogravimetric analysis (TGA), swelling performance (SR), Fourier transform infrared spectrum (FTIR), and X-ray photoelectron spectroscopy (XPS). Batch experiments showed that the adsorption process of Cu(ii) and MB followed the pseudo-second-order kinetic model and the Langmuir model. The maximum adsorption capacities of the WP/PAM for Cu(ii) and MB were 142.2 mg g

Identifiers

PMID35480218
PMCPMC9033242

What OpenQuestion holds

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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.