Evidence map›Paper›PMID 35425478›Full record

ArticleRSC advances2022

Facile and green preparation of solid carbon nanoonions

Xiankun Wu, Ting Guo, Ziyan Chen, Zhanghong Wang, Kun Qin, Zhikang Wang, Ziqiang Ao, Cheng Yang, Dekui Shen, Chunfei Wu

Abstract 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. 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

10 authors.

Xiankun WuSchool of Chemistry and Environmental Engineering, Yancheng Teachers University Yancheng 224007 PR China.
Ting GuoSchool of Chemistry and Environmental Engineering, Yancheng Teachers University Yancheng 224007 PR China.
Ziyan ChenSchool of Chemistry and Environmental Engineering, Yancheng Teachers University Yancheng 224007 PR China.
Zhanghong WangCollege of Eco-Environmental Engineering, Guizhou Minzu University Guiyang 550025 PR China z.wang2021@hotmail.com yang-cheng513@163.com.ORCID https://orcid.org/0000-0002-0334-033X
Kun QinCollege of Eco-Environmental Engineering, Guizhou Minzu University Guiyang 550025 PR China z.wang2021@hotmail.com yang-cheng513@163.com.
Zhikang WangCollege of Eco-Environmental Engineering, Guizhou Minzu University Guiyang 550025 PR China z.wang2021@hotmail.com yang-cheng513@163.com.
Ziqiang AoCollege of Eco-Environmental Engineering, Guizhou Minzu University Guiyang 550025 PR China z.wang2021@hotmail.com yang-cheng513@163.com.
Cheng YangCollege of Eco-Environmental Engineering, Guizhou Minzu University Guiyang 550025 PR China z.wang2021@hotmail.com yang-cheng513@163.com.
Dekui ShenKey Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University Nanjing 210096 PR China 101011398@seu.edu.cn.
Chunfei WuSchool of Chemistry and Chemical Engineering, Queen's University Belfast Belfast BT7 1NN UK c.wu@qub.ac.uk.ORCID https://orcid.org/0000-0001-7961-1186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon nanomaterials, such as carbon nanoonions (CNOs), possess promising applications in various fields. There are urgent demands to synthesize carbon nanomaterials from a green and renewable carbon source. In this study, solid CNOs with relatively uniform size distribution (with diameters of about 30-50 nm), abundant structure defects and oxygen-containing surface functional groups (such as -OH and -COOH) are developed from co-pyrolysis of lignin (LG) and polyethylene (PE) in the presence of Ni-based catalysts. The type of catalyst, the concentration of catalyst and catalytic co-pyrolysis temperature play important roles in the morphologies and properties of CNOs as confirmed by TEM and SEM. Furthermore, the produced CNOs can act as a low-cost and highly-efficient adsorbent to remove Cu(ii) from aqueous solution according to a homogeneous monolayer, chemical action-dominated, endothermic and spontaneous process. The theoretical maximum adsorption capacity of CNOs calculated from the Langmuir model is 100.00 mg g

Identifiers

PMID35425478
PMCPMC8981647

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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.