Evidence map›Paper›PMID 35273309›Full record

ArticleScientific reports2022

Preparation of biologically activated lignite immobilized SRB particles and their AMD treatment characteristics.

Junzhen Di, Yangyang Jiang, Mingjia Wang, Yanrong Dong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
1.2field-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, 12 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

4 authors at 1 institution in 1 country.

Junzhen DiSchool of Civil Engineering, Liaoning University of Engineering and Technology, Fuxin, 123000, Liaoning Province, China. dijunzhen@126.com.
Yangyang JiangSchool of Civil Engineering, Liaoning University of Engineering and Technology, Fuxin, 123000, Liaoning Province, China.
Mingjia WangSchool of Civil Engineering, Liaoning University of Engineering and Technology, Fuxin, 123000, Liaoning Province, China.
Yanrong DongSchool of Civil Engineering, Liaoning University of Engineering and Technology, Fuxin, 123000, Liaoning Province, China.
Liaoning Technical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the insufficient supply of carbon sources and the toxicity of heavy metal ions when using sulfate reducing bacteria (SRB) to treat acid mine wastewater (AMD), the immobilized particles are prepared with Rhodopseudomonas, SRB and lignite as the main raw materials. And based on single factor test and orthogonal test to determine the optimal ratio of biologically activated lignite fixed SRB particles. The adsorption characteristics of immobilized particles were studied under the optimal ratio, and the reaction kinetics and adsorption capacity of SRB particles immobilized on biologically activated lignite to different ions were analyzed. The results show that: lignite not only has good adsorption performance, but also can be used as the carbon source of SRB after being degraded by Rhodopseudomonas, solving the problems of low removal efficiency of SRB treatment of AMD and insufficient carbon source supply. When the dosage of lignite (particle size is 200 mesh), Rhodopseudomonas, and SRB are 3%, 10%, and 10% mesh, the prepared biologically activated lignite-immobilized SRB particles have the best effect on AMD treatment. The removal rates of SO

Indexed as

CoalWater Pollutants, ChemicalAdsorptionCarbonHydrogen-Ion ConcentrationKineticsSpectroscopy, Fourier Transform InfraredWastewaterCarbonCoalWastewaterWater Pollutants, Chemical

Identifiers

PMID35273309
PMCPMC8913651
OpenAlexW4220789492

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.