Evidence map›Paper›PMID 42711445›Full record

ArticleScientific reports2026

Validation and optimization of a multi-processor UV-C reactor for inactivation of potato brown rot and soft rot pathogens in surface irrigation water in the Nile Delta.

Fathi A A Hassan, Ashraf F Abd El-Rahman, Kamel M A Elhalag, Ahmed E Azab, Nevein A S Messiha

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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.

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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

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

5 authors.

Fathi A A HassanBiological Engineering Department, Agricultural Engineering Research Institute, Agricultural Research Center (ARC), Dokki, Giza, Egypt.
Ashraf F Abd El-RahmanBacterial Diseases Research Department, Plant Pathology Research Institute, Agricultural Research Center (ARC), 12619, Giza, Egypt.ORCID 0000-0001-9016-6327
Kamel M A ElhalagBacterial Diseases Research Department, Plant Pathology Research Institute, Agricultural Research Center (ARC), 12619, Giza, Egypt.ORCID 0000-0002-0283-9593
Ahmed E AzabBiological Engineering Department, Agricultural Engineering Research Institute, Agricultural Research Center (ARC), Dokki, Giza, Egypt.
Nevein A S MessihaBacterial Diseases Research Department, Plant Pathology Research Institute, Agricultural Research Center (ARC), 12619, Giza, Egypt. neven.shehata@arc.sci.eg.ORCID 0000-0002-8249-4782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial wilt and soft rot, caused by Ralstonia solanacearum and Pectobacterium carotovorum, are major threats to potato production and export. Surface irrigation water (SIW) can transmit these pathogens. This study validated and optimized a multi-processor UV-C (MP UV-C) reactor to ensure effective pathogen inactivation while minimizing energy use and operational cost. Physicochemical analysis revealed moderate turbidity and total suspended solids (TSS) in SIW, with UV transmittance (UVT) levels below the optimal range. This necessitates pre-filtration. Passing water through a 5-micron sediment filter improved UVT from 75% to 85%, reduced turbidity from 7.82 to 2.7 nephelometric turbidity units, and lowered TSS, chemical oxygen demand, and total dissolved solids, thereby placing the water within recommended ranges for UV-C disinfection. Collimated beam tests established UV dose-response curves, showing strong polynomial correlations (R

Indexed as

Agricultural IrrigationDisinfectionPectobacterium carotovorumPlant DiseasesRalstonia solanacearumSolanum tuberosumUltraviolet RaysWater MicrobiologyBacterial plant diseases controlIrrigation water qualityP. carotovorumR. solanacearumUV-C disinfection

Identifiers

PMID42711445
PMCPMC13554111

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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.