Evidence map›Paper›PMID 34965861›Full record

ArticleMicrobial cell factories2021

Statistical modeling of methylene blue degradation by yeast-bacteria consortium; optimization via agro-industrial waste, immobilization and application in real effluents.

Marwa Eltarahony, Esmail El-Fakharany, Marwa Abu-Serie, Marwa ElKady, Amany Ibrahim

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 44 citations in OpenAlex.

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  16. The effect ofHeliyon · 2022
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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 3 countries.

Marwa EltarahonyEnvironmental Biotechnology Department, Genetic Engineering and Biotechnology Research Institute (GEBRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab, Alexandria, 21934, Egypt. m_eltarahony@yahoo.com.
Esmail El-FakharanyProtein Research Department, Genetic Engineering and Biotechnology Research Institute (GEBRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg EL-Arab, Alexandria, 21934, Egypt.
Marwa Abu-SerieMedical Biotechnology Department, Genetic Engineering and Biotechnology Research Institute (GEBRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab, Alexandria, 21934, Egypt.
Marwa ElKadyChemical and Petrochemical Engineering Department, Egypt-Japan University for Science and Technology, New Borg El-Arab, Alexandria, Egypt.
Amany IbrahimBotany Department, Faculty of Women for Arts, Science and Education, Ain Shams University, Cairo, Egypt. Amany.gomaa@women.asu.edu.eg.ORCID http://orcid.org/0000-0001-7255-9960
City of Scientific Research and Technological Applications · EGAin Shams University · EGEgypt-Japan University of Science and Technology · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The progress in industrialization everyday life has led to the continuous entry of several anthropogenic compounds, including dyes, into surrounding ecosystem causing arduous concerns for human health and biosphere. Therefore, microbial degradation of dyes is considered an eco-efficient and cost-competitive alternative to physicochemical approaches. These degradative biosystems mainly depend on the utilization of nutritive co-substrates such as yeast extract peptone in conjunction with glucose. Herein, a synergestic interaction between strains of mixed-culture consortium consisting of Rhodotorula sp., Raoultella planticola; and Staphylococcus xylosus was recruited in methylene blue (MB) degradation using agro-industrial waste as an economic and nutritive co-substrate. Via statistical means such as Plackett-Burman design and central composite design, the impact of significant nutritional parameters on MB degradation was screened and optimized. Predictive modeling denoted that complete degradation of MB was achieved within 72 h at MB (200 mg/L), NaNO

Indexed as

Models, StatisticalAnimalsBiodegradation, EnvironmentalCell LineChlorella vulgarisChlorocebus aethiopsCoculture TechniquesColoring AgentsEcosystemEnterobacteriaceaeHumansIndustrial WasteMethylene BlueRhodotorulaStaphylococcusVero CellsColoring AgentsIndustrial WasteMethylene BlueWastewaterAzo dyeBioaugmentationCytotoxicityDetoxificationIndustrial effluentsMethylene bluePlackett–Burman designResponse surface methodologyRhodotorula sp.Wastewater treatment

Identifiers

PMID34965861
PMCPMC8717641
OpenAlexW4200563991

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.