Evidence map›Paper›PMID 42614511›Full record

ReviewFrontiers in microbiology2026

Assessment of water prophylaxis and biosafety in finfish aquaculture - current and emerging technologies.

Simona Bartkova, Francesco Valentino, Marcia Saraiva, Muhammed Duman, Anton Gerilovych, Vladimir Radosavljevic, Ario de Marco, Izzet Burcin Saticioglu, Hilal Ay

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 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

9 authors.

Simona BartkovaDepartment of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn, Estonia.
Francesco ValentinoDepartment of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy.
Marcia SaraivaCIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal.
Muhammed DumanDepartment of Aquatic Animal Diseases, Faculty of Veterinary Medicine, Bursa Uludag University, Bursa, Türkiye.
Anton GerilovychInstitute for Problems of Cryobiology and Cryomedicine, National Academy of Sciences of Ukraine/One Health Scientific and Research Institute, PSI, Kharkiv, Ukraine.
Vladimir RadosavljevicInstitute of Veterinary Medicine of Serbia, Belgrade, Serbia.
Ario de MarcoLaboratory of Environmental and Life Sciences, University of Nova Gorica, Nova Gorica, Slovenia.
Izzet Burcin SaticiogluDepartment of Aquatic Animal Diseases, Faculty of Veterinary Medicine, Bursa Uludag University, Bursa, Türkiye.
Hilal AyDepartment of Molecular Biology and Genetics, Faculty of Arts and Science, Yildiz Technical University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective water quality management is a fundamental component of disease prevention, fish welfare, and sustainable production in finfish aquaculture. As aquaculture continues to expand to meet increasing global food demand, maintaining biosafe aquatic environments has become increasingly challenging due to production intensification, climate change, emerging pathogens, and the spread of antimicrobial resistance. While conventional approaches such as mechanical filtration, biofiltration, ultraviolet disinfection, ozonation, and water exchange remain central to water prophylaxis, increasing attention is being directed toward technologies that support earlier pathogen detection, improved risk assessment, and more targeted intervention strategies. This review examines water prophylaxis and biosafety through an integrated framework that links water quality, microbial ecology, pathogen surveillance, antimicrobial resistance, and preventive interventions. First, the biological and environmental mechanisms through which water quality influences disease susceptibility, microbiome stability, pathogen persistence, and antimicrobial resistance are evaluated. Conventional water-treatment technologies are then assessed alongside emerging approaches, including environmental DNA/environmental RNA monitoring, probiotics, phage therapy, biosensors, smart sensors, microfluidic platforms, and droplet-based molecular diagnostics. Emphasis is placed on their practical applicability, technological readiness, and suitability for different finfish production systems. The review highlights that effective biosafety management depends increasingly on integrating environmental monitoring with molecular diagnostics, risk assessment, and targeted interventions rather than relying solely on water-quality control or reactive disease treatment. Emerging technologies differ substantially in readiness, ranging from established and pilot-stage approaches to experimental technologies that require further validation before routine implementation. To support practical decision-making, the review synthesizes these technologies within an integrated water-prophylaxis and biosafety framework that links monitoring, diagnostics, risk assessment, intervention strategies, and reassessment pathways. Overall, sustainable finfish aquaculture will depend on combining conventional water-treatment infrastructure with advanced surveillance technologies and preventive biological interventions within coordinated biosafety programs. Such integration offers considerable potential to improve fish health, reduce environmental impacts, support responsible antimicrobial use, and enhance the long-term resilience of aquaculture production systems.

Indexed as

biosensorsfinfish aquaculturefish welfaremicrofluidicsphage therapyprobioticswater biosafetywater prophylaxis

Identifiers

PMID42614511
PMCPMC13481732

What OpenQuestion holds

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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.