Evidence map›Paper›PMID 42162129›Full record

ArticleScientific reports2026

Cold atmospheric plasma for bacterial inactivation in Nile water and wastewater.

F M El-Hossary, E A Noureldein, M Abo El-Kassem, Aly E Abo-Amer

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

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

4 authors.

F M El-HossaryPhysics Department, Faculty of Science, Sohag University, Sohag, 82524, Egypt.
E A NoureldeinPhysics Department, Faculty of Science, Sohag University, Sohag, 82524, Egypt. eman011099@science.sohag.edu.eg.
M Abo El-KassemPhysics Department, Faculty of Science, Sohag University, Sohag, 82524, Egypt.
Aly E Abo-AmerDepartment of Botany and Microbiology, Faculty of Science, Sohag University, Sohag, 82524, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the efficiency of cold atmospheric plasma (CAP) generated using a corona discharge system in inactivating Gram-positive (Bacillus species) and Gram-negative (Escherichia coli) bacteria in Nile River water and wastewater. CAP was characterized using voltage-current curves and optical emission spectra (OES), while scanning electron microscopy (SEM), growth curve methods, and viable plate counts were used to evaluate antibacterial activity. CAP treatment successfully reduced bacterial counts in both Nile water and wastewater samples, with a reduction of ≥ 6-log in bacterial population after 8 min of treatment in Nile water, and a reduction of ≥ 2.6-log after 6 min of treatment in wastewater samples. Plasma treatment significantly altered bacterial growth kinetics and caused extensive morphological damage. The treated water samples showed a notable change in their physicochemical characteristics, including a moderate rise in electrical conductivity and a reduction in pH. The OES showed strong emission from the second positive system of nitrogen, with minor emission from N₂⁺ and OH radicals, suggesting strong plasma-water interactions. CAP treatment was non-thermal, based on the temperature readings, thus suggesting that the CAP could be used to inactivate bacteria in the Nile River water and wastewater samples in an environmentally friendly way.

Indexed as

Microbial ViabilityPlasma GasesRiversWastewaterWater MicrobiologyWater PurificationBacillusEscherichia coliPlasma GasesWastewaterBacterial inactivationCold atmospheric plasma (CAP)Corona dischargeNile waterWastewater treatment

Identifiers

PMID42162129
PMCPMC13190699

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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.