Evidence map›Paper›PMID 38012341›Full record

ArticleScientific reports2023

Impact of microalgae layer thickness on the treatment performance of drain water.

Aya Moustafa Moustafa, Mohamed El-Hosseiny ElNadi, Mahmoud Mohamed Abdelmomen, Amira Mohamed Nagy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Aya Moustafa MoustafaSanitary Engineering Section, Public Works Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt. ayamoustafaa@eng.asu.edu.eg.ORCID 0009-0004-5163-4035
Mohamed El-Hosseiny ElNadiSanitary Engineering Section, Public Works Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Mahmoud Mohamed AbdelmomenSanitary Engineering Section, Public Works Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Amira Mohamed NagySanitary Engineering Section, Public Works Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The water shortage problem in Egypt has promoted the exploration of new water resources, including the use of treated agricultural drainage water. This study aims to develop an efficient and cost-effective method for the in-situ treatment of agricultural drainage water from the Bahr-ElBaqar drain using a microalgae layer. The objective was to establish the optimal thickness of the layer for achieving the highest removal efficiency of pollutants from the drain's wastewater. Practical work was performed on a pilot consisting of five channels with four channels having microalgae with different thicknesses and fixed lengths of 50 cm, and the fifth channel acting as a buffer channel to assimilate the drain water without any treatment microalgae layer. After the experiment, it was discovered that a 10-mm layer of microalgae was the most effective thickness for eliminating pollutants from wastewater. The removal efficiencies were 29% for biochemical oxygen demand (BOD), 46.9% for chemical oxygen demand (COD), and 56.1% for total suspended solids (TSS) removal. This experiment provided evidence that microalgae could represent a viable solution for in-situ treatment of agricultural drainage wastewater with high removal efficiencies for pollutants in wastewater and decreased the need for constructing huge and expensive wastewater treatment plants.

Indexed as

Environmental PollutantsMicroalgaeWater Pollutants, ChemicalWater PurificationWaste Disposal, FluidWastewaterWaterEnvironmental PollutantsWastewaterWaterWater Pollutants, Chemical

Identifiers

PMID38012341
PMCPMC10681994
OpenAlexW4389049408

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.