Evidence map›Paper›PMID 33324833›Full record

ArticleACS omega2020

Influence of Synthesis Methods on the High-Efficiency Removal of Cr(VI) from Aqueous Solution by Fe-Modified Magnetic Biochars.

Xiumei Jian, Shan Li, Yun Feng, Xueru Chen, Ruibin Kuang, Bosong Li, Yan Sun

Abstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Xiumei JianKey Laboratory for Biobased Materials and Energy, Ministry of Education, South China Agricultural University, Guangzhou, Guangdong 510640, China.
Shan LiCollege of Materials and Energy, South China Agricultural University, Guangzhou, Guangdong 510640, China.
Yun FengCollege of Materials and Energy, South China Agricultural University, Guangzhou, Guangdong 510640, China.
Xueru ChenCollege of Materials and Energy, South China Agricultural University, Guangzhou, Guangdong 510640, China.
Ruibin KuangInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization (MOA), Guangdong Province Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, Guangdong 510640, China.
Bosong LiGuangzhou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Guangzhou, Guangdong 510140, China.
Yan SunKey Laboratory for Biobased Materials and Energy, Ministry of Education, South China Agricultural University, Guangzhou, Guangdong 510640, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fe-modified biochars have been widely used in removal of Cr(VI) from water due to the resulting modified surface functional groups and magnetization property. However, few studies have synthetically investigated modification methods and synthesis parameters on the improvement of the removal efficiency of Cr(VI) by Fe-modified biochars. Herein, 10 types of corn straw-based magnetic biochars were produced using pre-modification and post-modification methods with various modifier ratios, and the highest heating temperature (HHT). Cr(VI) removal results suggest that the removal efficiency of pre-modified biochars ranged from 50.7 to 98.6%, which was much higher than that of post-modified (6.6-21.6%) and unmodified biochars (0.4-7.6%). The effect of synthesis methods on Cr(VI) adsorption was in the following order: Fe-modification method > modifier ratio > HHT. The adsorption kinetics and isotherm results of three types of pre-modified biochars were well fitted with the pseudo-second-order model (

Identifiers

PMID33324833
PMCPMC7726960

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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.