Evidence map›Paper›PMID 39634402›Full record

ArticleHeliyon2024

Indigenous bio-coagulant assisted electrocoagulation process for the removal of contaminants from brewery wastewater: Performance evaluation and response surface methodology optimization.

Firomsa Sufa Garomsa, Yenealem Mehari Berhanu, Wendesen Mekonin Desta, Firomsa Bidira

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Firomsa Sufa GaromsaDepartment of Water Resourse and Irrigation Engineering, Wollega University, P.O. box 38, Ethiopia.
Yenealem Mehari BerhanuSchool of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, P.O. Box 378, Ethiopia.
Wendesen Mekonin DestaSchool of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, P.O. Box 378, Ethiopia.
Firomsa BidiraSchool of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, P.O. Box 378, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater from human activities, particularly from brewery industries, is a significant source of pollution. Large volumes of biodegradable and non-biodegradable substances found in brewery effluent make them suitable for natural coagulant-assisted electrocoagulation. The treatment options available today are highly harmful and not economical. To solve this problem and provide a simple method of treating brewery wastewater, the biocoagulant (Custard apple)-assisted electrocoagulation process was created. This study presents an environmentally friendly way of treating wastewater by combining electrocoagulation with biocoagulant. The approach treats wastewater from breweries with a high organic load and a variable composition. Bio- and electrocoagulation are used in the process to target certain contaminants and when combined the method has high efficiency and is environmentally also friendly. The performance of bio-coagulant-assisted electrocoagulation was studied, considering parameters such as pH, time, current, and bio-coagulant dosage. In each experiment, operating parameters were adjusted and their removal efficiency was evaluated after treatment. The bio-coagulant-assisted electrocoagulation process removed COD (99.01 %), BOD (99.09 %), TDS (99.02 %), and) at an ideal pH of 7, a current of 0.5 A, a time of 40 min, and power consumed (0.54kwh/m

Indexed as

Brewery wastewaterCustard appleElectrocoagulationOperating factorsResponse surface methodology

Identifiers

PMID39634402
PMCPMC11615482

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.