Evidence map›Paper›PMID 33913111›Full record

ArticleEnvironmental science and pollution research international2021

Efficient biotransformation of sulfide in anaerobic sequencing batch reactor by composite microbial agent: performance optimization and microbial community analysis.

Huan Liu, Luyao Dai, Jiachao Yao, Yu Mei, Dzmitry Hrynsphan, Savitskaya Tatsiana, Jun Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 2 countries.

Huan LiuCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, People's Republic of China.
Luyao DaiCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, People's Republic of China.
Jiachao YaoCollege of Biological and Environmental Engineering, Zhejiang Shuren University, Hangzhou, 30021, People's Republic of China.
Yu MeiCollege of Biological and Environmental Engineering, Zhejiang Shuren University, Hangzhou, 30021, People's Republic of China.
Dzmitry HrynsphanResearch Institute of Physical and Chemical Problems, Blearusian State University, 220030, Minsk, Belarus.
Savitskaya TatsianaResearch Institute of Physical and Chemical Problems, Blearusian State University, 220030, Minsk, Belarus.
Jun ChenCollege of Biological and Environmental Engineering, Zhejiang Shuren University, Hangzhou, 30021, People's Republic of China. bec@zjut.edu.cn.ORCID http://orcid.org/0000-0003-2695-4673
Zhejiang Shuren University · CNBelarusian State University · BYZhejiang University of Technology · CN

Funding

National Primary Research & Development Plan 2018YFE0120300Natural Science Foundation of Tianjin Municipal Science and Technology Commission (CN) 21777142, 22011530015Zhejiang Shuren University Basic Scientific Research Special Funds 2020XZ012
6 · The paper itself

Abstract

Sulfur-containing wastewater is very common as an industrial waste, yet a high-efficiency composite microbial agent for sulfur-containing wastewater treatment is still lacking. In this work, three novel and efficient desulfurizing bacteria were isolated from the sewage treatment tank of Zhejiang Satellite Energy Co., Ltd. They were identified as Brucella melitensis (S1), Ochrobactrum oryzae (S8), and Achromobacter xylosoxidans (S9). These three strains of bacteria were responsible for the oxidative metabolism of sodium sulfide via a similar polythionate pathway, which could be expressed as follows: S

Indexed as

MicrobiotaSewageAnaerobiosisBioreactorsBiotransformationOchrobactrumSulfidesWaste Disposal, FluidWastewaterSewageSulfidesWastewaterMicrobial community structureRemoval performanceSolid agentsSulfur-containing wastewater

Identifiers

PMID33913111
OpenAlexW3157818490

What OpenQuestion holds

Textmetadata
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.