Evidence map›Paper›PMID 33576958›Full record

ArticleEnvironmental science and pollution research international2021

Enhanced treatment of shale gas fracturing waste fluid through plant-microbial synergism.

Bo Shao, Xu Tan, Ju-Long Li, Mei He, Lei Tian, Wen-Jie Chen, Yan Lin

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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, 2 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 2 institutions in 3 countries.

Bo ShaoSchool of Resources and Environment, Yangtze University, Wuhan, 430100, China.
Xu TanSchool of Resources and Environment, Yangtze University, Wuhan, 430100, China.
Ju-Long LiSchool of Resources and Environment, Yangtze University, Wuhan, 430100, China.
Mei HeSchool of Resources and Environment, Yangtze University, Wuhan, 430100, China. hemei-521@163.com.ORCID http://orcid.org/0000-0001-6672-9054
Lei TianKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, China.
Wen-Jie ChenSchool of Resources and Environment, Yangtze University, Wuhan, 430100, China.
Yan LinNorwegian Institute for Water Research, Gaustadalléen 21, 0349, Oslo, Norway. yan.lin@niva.no.
Yangtze University · CNNorwegian Institute for Water Research · NO

Funding

National Natural Science Foundation of China 41472124PetroChina Innovation Foundation 2015D-5006-0210PetroChina Innovation Foundation 2016D-5007-0702The Hubei Provincial Student Innovation and Entrepreneurship Training Program S202010489042The Yangtze Talents Fund 2020The Yangtze University Outstanding Doctoral and Master Degree Thesis Cultivation Program Fund YS2018052The Yangtze University Student Innovation and Entrepreneurship training program 2019418
6 · The paper itself

Abstract

Cost-efficient and environmentally friendly treatment of hydraulic fracturing effluents is of great significance for the sustainable development of shale gas exploration. We investigated the synergistic effects of plant-microbial treatment of shale gas fracturing waste fluid. The results showed that illumination wavelength and temperature are direct drivers for microbial treatment effects of COD

Indexed as

Hydraulic FrackingMicrobiotaNatural GasOil and Gas FieldsPlantsWastewaterNatural GasWastewaterAquatic ecotoxicityHydraulic fracturing effluentsMicrobial communityPlant-microbial synergismShale gas

Identifiers

PMID33576958
OpenAlexW3127863513

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.