Evidence map›Paper›PMID 34683375›Full record

ArticleMicroorganisms2021

Bioemulsification and Microbial Community Reconstruction in Thermally Processed Crude Oil.

Bing Hu, Jie-Yu Zhao, Yong Nie, Xiao-Yu Qin, Kai-Duan Zhang, Jian-Min Xing, Xiao-Lei Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2021. 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
0.1field-weighted citation impact, top 63% 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, 3 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

7 authors at 3 institutions in 1 country.

Bing HuGroup of Biochemical Engineering, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 102401, China.ORCID 0000-0002-9313-9428
Jie-Yu ZhaoCollege of Engineering, Peking University, Beijing 100871, China.
Yong NieCollege of Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-5940-1218
Xiao-Yu QinCollege of Engineering, Peking University, Beijing 100871, China.ORCID 0000-0003-0206-8669
Kai-Duan ZhangCollege of Engineering, Peking University, Beijing 100871, China.ORCID 0000-0003-1362-5010
Jian-Min XingCAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Xiao-Lei WuCollege of Engineering, Peking University, Beijing 100871, China.ORCID 0000-0002-9897-6903
Peking University · CNBeijing Institute of Technology · CNInstitute of Process Engineering · CN

Funding

Beijing Institute of Technology Research Fund Program for Young Scholar 201909004National Key R&D Program of China 2018YFA0902100National Key R&D Program of China 2020YFA0908300Open Funding Project of the State Key Laboratory of Biochemical Engineering 2020KF-05
6 · The paper itself

Abstract

Utilization of low-cost, environmental-friendly microbial enhanced oil recovery (MEOR) techniques in thermal recovery-processed oil reservoirs is potentially feasible. However, how exogenous microbes facilitate crude oil recovery in this deep biosphere, especially under mesophilic conditions, is scarcely investigated. In this study, a thermal treatment and a thermal recurrence were processed on crude oil collected from Daqing Oilfield, and then a 30-day incubation of the pretreated crude oil at 37 °C was operated with the addition of two locally isolated hydrocarbon-degrading bacteria,

Indexed as

bioemulsificationheat perturbationhypersalinitymicrobial community reconstructionmicrobial enhanced oil recovery (MEOR)

Identifiers

PMID34683375
PMCPMC8539444
OpenAlexW3202841258

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.