Evidence map›Paper›PMID 37368584›Full record

ArticleToxics2023

Simultaneously Cationic and Anionic Dyes Elimination via Magnetic Hydrochar Prepared from Copper Slag and Pinewood Sawdust.

Huabin Wang, Yi Wu, Yi Wen, Dingxiang Chen, Jiang Pu, Yu Ding, Sailian Kong, Shuaibing Wang, Rui Xu

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

Article in Toxics, 2023. 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
1.1field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Huabin WangSchool of Energy and Environment Science, Yunnan Normal University, Kunming 650500, China.ORCID 0000-0002-4112-3424
Yi WuSchool of Energy and Environment Science, Yunnan Normal University, Kunming 650500, China.
Yi WenSchool of Energy and Environment Science, Yunnan Normal University, Kunming 650500, China.
Dingxiang ChenSchool of Energy and Environment Science, Yunnan Normal University, Kunming 650500, China.
Jiang PuShiping Center for Rural Energy and Environment, Honghe 661400, China.
Yu DingBaoshan City Longyang Rural Energy Workstation, Baoshan 678000, China.
Sailian KongDevelopment Center for Rural Affairs of Jiangchuan District, Yuxi 651100, China.
Shuaibing WangCollege of Chemistry Biology and Environment, Yuxi Normal University, Yuxi 653100, China.
Rui XuSchool of Energy and Environment Science, Yunnan Normal University, Kunming 650500, China.
Yunnan Normal University · CNResearch Center for Rural Economy · CNBaoshan College · CNYuxi Normal University · CN

Funding

Applied Basic Research Foundation of Yunnan Province 202201AS070020, 202201AU070061, 202101AU070008Yunnan Province Education Department Project 2022J0136
6 · The paper itself

Abstract

In practical wastewater, cationic and anionic dyes usually coexist, while synergistic removal of these pollutants is difficult due to their relatively opposite properties. In this work, copper slag (CS) modified hydrochar (CSHC) was designed as functional material by the one-pot method. Based on characterizations, the Fe species in CS can be converted to zero-valent iron and loaded onto a hydrochar substrate. The CSHC exhibited efficient removal rates for both cationic dyes (methylene blue, MB) and anionic dyes (methyl orange, MO), with a maximum capacity of 278.21 and 357.02 mg·g

Indexed as

adsorption mechanismscopper slagdyesmodified hydrocharsimultaneous removal

Identifiers

PMID37368584
PMCPMC10304549
OpenAlexW4378377265

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.