Evidence map›Paper›PMID 40890173›Full record

ArticleScientific reports2025

Optimization of immobilized activated sludge performance in electro-sprayed matrices for treatment of cellulose industry wastewater.

Farshad Ghafari-Arsoon, Omid Ramezani, Ali Partovinia

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Farshad Ghafari-ArsoonDepartment of Biorefinery, Faculty of New Technologies Engineering, Zirab Campus, Shahid Beheshti University, Tehran, Iran.
Omid RamezaniDepartment of Biorefinery, Faculty of New Technologies Engineering, Zirab Campus, Shahid Beheshti University, Tehran, Iran.
Ali PartoviniaDepartment of Biorefinery, Faculty of New Technologies Engineering, Zirab Campus, Shahid Beheshti University, Tehran, Iran. a_partovi@sbu.ac.ir.ORCID http://orcid.org/0000-0002-6703-290X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, the abundant use of cellulose industry products has led to an increase in production and, as a result, an increase in the volume of water consumed by this industry. On the other hand, the high volumetric flow rate of produced wastewater, chemical oxygen demand (COD), suspended solids and high turbidity of these wastewaters have caused many problems. In recent years, various methods, including physical, chemical and biological, have been used for wastewater treatment. In this study, firstly, the efficiency of the activated sludge collected from cellulose wastewater was investigated in freely suspended cell system in shake flask experiments at 150 rpm and 30 °C. Afterward, to investigate the performance of immobilized sludge, alginate and hybrid alginate-polyvinyl alcohol polymers were used for microbeads production. In this survey, the electrospray technique and response surface methodology (RSM) were employed to produce microbeads and statistical optimization, respectively. In order to optimize the bioremediation process, three variables including electrospray voltage (0-12 kV), the volume of cell-polymer suspension (1-3 mL), and two type of carriers were selected. In order to analyze the wastewater, the results related to COD were evaluated. The optimization results showed that the maximum biodegradation and COD removal of 74% (from 6715 to 1736 mg/L) after 4 days was observed by the alginate-immobilized cells produced with the voltage and polymer-cell solution volume of 3 kV and 2.5 mL, respectively.

Indexed as

CelluloseIndustrial WasteSewageWaste Disposal, FluidWastewaterWater PurificationAlginatesBiodegradation, EnvironmentalBiological Oxygen Demand AnalysisAlginatesCelluloseIndustrial WasteSewageWastewaterCellulose wastewaterChemical oxygen demandElectrospray techniqueImmobilized sludgeMicrobeads

Identifiers

PMID40890173
PMCPMC12402088

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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.