Evidence map›Paper›PMID 41136614›Full record

ArticleScientific reports2025

Characterization of air submicrobubbles for water treatment under different generation conditions.

Marwa Sakr, Mohamed M Mohamed, Mohamed Ibrahim Kizhisseri, Munjed A Maraqa

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Marwa SakrCivil & Environmental Engineering Department, United Arab Emirates University, Al Ain, 15551, UAE.
Mohamed M MohamedCivil & Environmental Engineering Department, United Arab Emirates University, Al Ain, 15551, UAE. m.mohamed@uaeu.ac.ae.
Mohamed Ibrahim KizhisseriCivil & Environmental Engineering Department, United Arab Emirates University, Al Ain, 15551, UAE.
Munjed A MaraqaCivil & Environmental Engineering Department, United Arab Emirates University, Al Ain, 15551, UAE.

Funding

Abu Dhabi Department of Education and Knowledge (ADEK) through ADEK Award for Research Excellence (AARE) funding program (award # AARE19-047)National Water and Energy Center at United Arab Emirates University, UAE (Grant No. 21N226)
6 · The paper itself

Abstract

Micro-nanobubble (MNB) technology has been proven to be effective in water and wastewater treatment. Submicrobubbles (SMBs) are considered to be a subgroup of MNBs ranging from 1 to 10 μm with limited studies related to their fundamental properties. This study focused on the fundamental characteristics of SMBs and the effect of generation conditions such as temperature, aeration time, and water volume on their properties. SMBs were generated under high pressure using shear force and their size and distribution were measured using the dynamic light scattering method. Dissolved oxygen (DO) concentrations were monitored during and after the generation. The zeta potential of the generated bubbles was also measured to assess bubbles stability. SMBs with a median diameter of 2 μm persisted in water even after the generator was stopped, indicating the high longevity of SMBs in water. Regardless of the aeration time or water volume used, the zeta potential of SMBs was highly negative with average values ranged between - 28 and - 30 mV, indicating high stability in water. DO concentration increased by up to 1.5 folds within a few minutes of generation and slightly decreased over 1 h. Results demonstrate that air SMBs are stable with long lifespan and high DO concentration.

Indexed as

Aeration processBubble propertiesBubble size distributionSubmicrobubblesWastewater treatmentWater treatment

Identifiers

PMID41136614
PMCPMC12552725

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.