Evidence map›Paper›PMID 34064160›Full record

ArticleMolecules (Basel, Switzerland)2021

Elucidation of Gram-Positive Bacterial Iron(III) Reduction for Kaolinite Clay Refinement.

Hao Jing, Zhao Liu, Seng How Kuan, Sylvia Chieng, Chun Loong Ho

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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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

5 authors at 3 institutions in 2 countries.

Hao JingDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Zhao LiuDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Seng How KuanDepartment of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman, Selangor 43000, Malaysia.ORCID 0000-0002-1115-3761
Sylvia ChiengDepartment of Biological Sciences and Biotechnology, Universiti Kebangsaan Malaysia, Selangor 43000, Malaysia.ORCID 0000-0002-6521-6641
Chun Loong HoDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Southern University of Science and Technology · CNNational University of Malaysia · MYUniversiti Tunku Abdul Rahman · MY

Funding

Guangdong Innovative and Entrepreneurial Research Team Program 2019ZT08Y191Innovative Projects for The Characteristics of General Colleges and Universities in Guangdong Province Application (Natural Science) 2018KTSCX200Shenzhen Institute of Synthetic Biology Innovation Open Fund Contract DWKF20190001
6 · The paper itself

Abstract

Recently, microbial-based iron reduction has been considered as a viable alternative to typical chemical-based treatments. The iron reduction is an important process in kaolin refining, where iron-bearing impurities in kaolin clay affects the whiteness, refractory properties, and its commercial value. In recent years, Gram-negative bacteria has been in the center stage of iron reduction research, whereas little is known about the potential use of Gram-positive bacteria to refine kaolin clay. In this study, we investigated the ferric reducing capabilities of five microbes by manipulating the microbial growth conditions. Out of the five, we discovered that

Indexed as

BiofilmsCulture MediaGram-Positive BacteriaIronKaolinOxidation-ReductionCulture MediaIronKaoliniron(III)oxidekaolinmediumreductionsecondary metabolites

Identifiers

PMID34064160
PMCPMC8196777
OpenAlexW3165693479

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.