Evidence map›Paper›PMID 36545289›Full record

ArticleRSC advances2022

Amine-functionalized MOF-derived carbon materials for efficient removal of Congo red dye from aqueous solutions: simulation and adsorption studies.

Na Hu, Junzhe Yu, Liran Hou, Changrong Shi, Kai Li, Fangxue Hang, Caifeng Xie

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 33 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Na HuCollege of Light Industry and Food Engineering, Guangxi University Nanning 530004 China fcx11@163.com.ORCID https://orcid.org/0000-0002-8771-8095
Junzhe YuCollege of Light Industry and Food Engineering, Guangxi University Nanning 530004 China fcx11@163.com.ORCID https://orcid.org/0000-0002-1623-7737
Liran HouCollege of Light Industry and Food Engineering, Guangxi University Nanning 530004 China fcx11@163.com.ORCID https://orcid.org/0000-0003-2337-9394
Changrong ShiCentre for Agriculture and the Bioeconomy, Institute for Future Environments, Queensland University of Technology Brisbane QLD 4000 Australia.
Kai LiCollege of Light Industry and Food Engineering, Guangxi University Nanning 530004 China fcx11@163.com.
Fangxue HangCollege of Light Industry and Food Engineering, Guangxi University Nanning 530004 China fcx11@163.com.ORCID https://orcid.org/0000-0001-8738-9220
Caifeng XieCollege of Light Industry and Food Engineering, Guangxi University Nanning 530004 China fcx11@163.com.ORCID https://orcid.org/0000-0001-5667-6139
Guangxi University · CNQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a novel polyethyleneimine (PEI) modified MOF-derived carbon adsorbent (PEI@MDC) was proposed, which exhibited significant adsorption capacity for Congo Red (CR) in aqueous solutions. FT-IR and XPS results showed that PEI was successfully grafted onto MDC, increasing the content of amine groups on the surface of MDC. The adsorption process conformed to the Langmuir isotherm adsorption model and pseudo-second-order kinetic equation, indicating that the adsorption of CR on PEI@MDC was covered by a single layer, and the adsorption process was controlled by chemical processes. According to the Langmuir model, the maximum adsorption capacity at 30 °C was 1723.86 mg g

Identifiers

PMID36545289
PMCPMC9761559
OpenAlexW4312112914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.