Evidence map›Paper›PMID 38894027›Full record

ArticleMaterials (Basel, Switzerland)2024

CaAl-Layered Double Hydroxides-Modified Biochar Composites Mitigate the Toxic Effects of Cu and Pb in Soil on Pea Seedlings.

Yuanzheng Wang, Yuhao Cai, Yuxuan Wu, Caiya Yan, Zhi Dang, Hua Yin

Abstract read
In one paragraph

Article in Materials (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. 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.

Yuanzheng WangSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
Yuhao CaiSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
Yuxuan WuSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
Caiya YanSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
Zhi DangSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
Hua YinSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, China.

Funding

The Local Innovation and Entrepreneurship Team Project of Guangdong Special Support Program (2019BT02L218);National Key Research and Development Program of China (No. 2018YFC1802800);The Guangdong Science and Technology Program (2020B121201003). 2019BT02L218;No. 2018YFC1802800;2020B121201003
6 · The paper itself

Abstract

Compound contamination of soil with heavy metals copper (Cu) and lead (Pb) triggered by mining development has become a serious problem. To solve this problem, in this paper, corncob kernel, which is widely available and inexpensive, was used as the raw material of biochar and modified by loading CaAl-layered double hydroxides to synthesize biochar-loaded CaAl-layered double hydroxide composites (CaAl-LDH/BC). After soil remediation experiments, either BC or CaAl-LDH/BC can increase soil pH, and the available phosphorus content and available potassium content in soil. Compared with BC, CaAl-LDH/BC significantly reduced the available content of Cu and Pb in the active state (diethylenetriaminepentaacetic acid extractable state) in the soil, and the passivation rate of Cu and Pb by a 2% dosage of CaAl-LDH/BC reached 47.85% and 37.9%, respectively. CaAl-LDH/BC can significantly enhance the relative abundance of beneficial microorganisms such as

Indexed as

CaAl-layered double hydroxidesheavy metal contaminationmining-contaminated soilpea seedlings

Identifiers

PMID38894027
PMCPMC11173730

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.