Evidence map›Paper›PMID 38582908›Full record

ArticleScientific reports2024

Efficient reduction of vanadium (V) with biochar and experimental parameters optimized by response surface methodology.

Hao Peng, Laixin Wang, Jing Guo, Yuting Wu, Bing Li, Yinhe Lin

Abstract read
In one paragraph

Article in Scientific reports, 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. Highly Efficient Reduction of Cr (VI) with CMolecules (Basel, Switzerland) · 2024
    Article
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

6 authors.

Hao PengChongqing Key Laboratory of Inorganic Special Functional Materials, College of Chemistry and Chemical Engineering, Yangtze Normal University, Fuling, Chongqing, 408100, People's Republic of China. cqupenghao@126.com.
Laixin WangIntelligent Development Department, Huatian Engineering & Technology Corporation, MCC, Nanjing, Anhui, People's Republic of China.
Jing GuoCollege of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 408100, People's Republic of China.
Yuting WuChongqing Key Laboratory of Inorganic Special Functional Materials, College of Chemistry and Chemical Engineering, Yangtze Normal University, Fuling, Chongqing, 408100, People's Republic of China.
Bing LiChongqing Key Laboratory of Inorganic Special Functional Materials, College of Chemistry and Chemical Engineering, Yangtze Normal University, Fuling, Chongqing, 408100, People's Republic of China.
Yinhe LinChongqing Key Laboratory of Inorganic Special Functional Materials, College of Chemistry and Chemical Engineering, Yangtze Normal University, Fuling, Chongqing, 408100, People's Republic of China.

Funding

key development projects of the Liangshan Prefecture (No. 23ZDYF0169 and No. 23ZDYF0173Key research and development plan of Anhui Province (No. 2022l07020037National Natural Science Foundation of China No. U1960101
6 · The paper itself

Abstract

Water pollution deteriorates ecosystems and has a great threaten to the environment. The environmental benefits of wastewater treatment are extremely important to minimize pollutants. Here, the biochar purchased from the related industry was used to treat the wastewater which contained high concentration of vanadium (V). The concentration of vanadium was measured by the IC-OES and the results showed that 96.1% vanadium (V) was reduced at selected reaction conditions: the mass ratio of biochar to vanadium of 5.4, reaction temperature of 90 °C, reaction time at 60 min and concentration of H

Indexed as

BiocharReductionResponse surface methodologyThermodynamicsVanadium

Identifiers

PMID38582908
PMCPMC11372122

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.