Evidence map›Paper›PMID 36429520›Full record

ReviewInternational journal of environmental research and public health2022

A Review on N-Doped Biochar for Oxidative Degradation of Organic Contaminants in Wastewater by Persulfate Activation.

Yaxuan Gao, Wenran Gao, Haonan Zhu, Haoran Chen, Shanshan Yan, Ming Zhao, Hongqi Sun, Junjie Zhang, Shu Zhang

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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 at 3 institutions in 2 countries.

Yaxuan GaoCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Wenran GaoCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Haonan ZhuCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Haoran ChenCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Shanshan YanCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.
Ming ZhaoCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-8356-018X
Hongqi SunSchool of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia.
Junjie ZhangState Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials, School of Material Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Shu ZhangCo-Innovation Center of Efficient Processing and Utilization of Forest Resources, Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-4137-0748
Nanjing Forestry University · CNEdith Cowan University · AUNanjing University of Posts and Telecommunications · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Persulfate-based advanced oxidation process is the most efficient and commonly used technology to remove organic contaminants in wastewater. Due to the large surface area, unique electronic properties, abundant N functional groups, cost-effectiveness, and environmental friendliness, N-doped biochars (NBCs) are widely used as catalysts for persulfate activation. This review focuses on the NBC for oxidative degradation of organics-contaminated wastewater. Firstly, the preparation and modification methods of NBCs were reviewed. Then the catalytic performance of NBCs and modified NBCs on the oxidation degradation of organic contaminants were discussed with an emphasis on the degradation mechanism. We further summarized the detection technologies of activation mechanisms and the structures of NBCs affecting the PS activation, followed by the specific role of the N configuration of the NBC on its catalytic capacity. Finally, several challenges in the treatment of organics-contaminated wastewater by a persulfate-based advanced oxidation process were put forward and the recommendations for future research were proposed for further understanding of the advanced oxidation process activated by the NBC.

Indexed as

CharcoalWastewaterOxidation-ReductionOxidative StressbiocharCharcoalWastewateradvanced oxidation processN configurationN-doped biocharpersulfatewastewater

Identifiers

PMID36429520
PMCPMC9690619
OpenAlexW4308866764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.