Evidence map›Paper›PMID 37656256›Full record

ArticleBioprocess and biosystems engineering2023

Investigation of a membrane bioreactor's performances in treating sunflower oil refinery wastewater containing high oleic acid at different SRTs.

E Abdollahzadeh Sharghi, P Ghasemian, L Davarpanah, G Faridizad

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 2023. 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
–field-weighted citation impact
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.

  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.

E Abdollahzadeh SharghiEnvironmental Group, Department of Energy, Materials and Energy Research Center, P.O. Box 31787-316, Karaj, Alborz, Iran. E.Abdollahzadeh@merc.ac.ir.ORCID http://orcid.org/0000-0001-6089-3099
P GhasemianEnvironmental Group, Department of Energy, Materials and Energy Research Center, P.O. Box 31787-316, Karaj, Alborz, Iran.
L DavarpanahEnvironmental Group, Department of Energy, Materials and Energy Research Center, P.O. Box 31787-316, Karaj, Alborz, Iran.
G FaridizadDepartment of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran.

Funding

Iran National Science Foundation (INSF) 4014049Materials and Energy Research Center (MERC) 14026054
6 · The paper itself

Abstract

This study investigated the MBR performance, sludge morphology, and membrane fouling potential in treating sunflower oil refinery wastewater containing high oleic acid at three different SRTs of 10 days, 40 days, and infinite. The analysis of mixed liquor morphology including sludge volume index, PSD, EPS, and SMP showed that the sludge flocs compressibility and bioflocculation considerably improved at 40-days SRT. Additionally, at this SRT, the mixed liquor O&G, COD, and SMP accumulation were low, and the microbial activity and COD removal were enhanced. The gas chromatography/mass spectrometry analysis results confirmed the formation of three different new compounds related to non-readily biodegradable recalcitrant oily compounds and SMP at all SRTs. The analysis of mixed liquor EPS, PSD, SMP, and effluent COD at three different SRTs suggests that under the industrial conditions of MBR operation treating SORW with high oleic acid, the optimal operating conditions are predicted to be at 40-days SRT.

Indexed as

HelianthusWastewaterBioreactorsMembranes, ArtificialOleic AcidSewageSunflower OilWaste Disposal, FluidMembranes, ArtificialOleic AcidSewageSunflower OilWastewaterGas chromatography/mass spectrometryHigh oleic acid sunflower oil refinery wastewaterMembrane bioreactorMembrane foulingSludge retention time

Identifiers

PMID37656256

What OpenQuestion holds

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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.