Evidence map›Paper›PMID 39683748›Full record

ArticleMolecules (Basel, Switzerland)2024

Nitrogen-Doped Weathered Coal for the Efficient Adsorption of Lead: Adsorption Performance and Mechanisms.

Xiaojing Chen, Xiaobing Jin, Chi Zhang, Zile Jiao, Zhiping Yang, Ke Wang, Jianhua Li, Qiang Zhang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Reducing lead toxicity with advanced nanotechnology methods.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    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

8 authors.

Xiaojing ChenInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Xiaobing JinInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Chi ZhangInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Zile JiaoCollege of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China.
Zhiping YangInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Ke WangInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Jianhua LiInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Qiang ZhangInstitute of Eco-Environmental Industry Technology, College of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.

Funding

Doctoral Research Project of Shanxi Agricultural University 2021BQ49, 2023BQ53Shanxi Basic Research Project 202303021212119
6 · The paper itself

Abstract

The development of widely sourced and efficient adsorbents is crucial for the adsorption of lead from wastewater. A novel adsorbent, N-doped weathered coal (NWC), was prepared in this study using weathered coal as the precursor and triethylenetetramine (TETA) as the N-source. The adsorption performance and behavior of Pb(II) on NWC were investigated using batch adsorption experiments. The results demonstrated that NWC has an efficient adsorption performance towards Pb(II), with a maximum monolayer adsorption capacity of 216.32 mg g

Indexed as

adsorption propertycomplexationleadnitrogen-containing groupweathered coal

Identifiers

PMID39683748
PMCPMC11643971

What OpenQuestion holds

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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.