Evidence map›Paper›PMID 40416748›Full record

ArticleData in brief2025

Experimental datasets on the extraction of functional ingredients from seaweeds for controlling bacterial infection.

Nehal M El-Deeb, Tamer A E Ahmed, Amal D Premarathna, Vitalijs Rjabovs, Rando Tuvikene, Riadh Hammami, Martine Boulianne, Maxwell T Hincke

Abstract read
In one paragraph

Article in Data in brief, 2025. 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
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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

8 authors.

Nehal M El-DeebDepartment of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ontario K1H 8M5, Canada.
Tamer A E AhmedDepartment of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ontario K1H 8M5, Canada.
Amal D PremarathnaSchool of Natural Sciences and Health, Tallinn University, Narva mnt 29, 10120 Tallinn, Estonia.
Vitalijs RjabovsNational Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618 Tallinn, Estonia.
Rando TuvikeneSchool of Natural Sciences and Health, Tallinn University, Narva mnt 29, 10120 Tallinn, Estonia.
Riadh HammamiSchool of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ontario K1H 8M5, Canada.
Martine BoulianneDepartment of clinicat sciences, Faculté de médecine vétérinaire, Université de Montréal, Québec G5L 3A1, Canada.
Maxwell T HinckeDepartment of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ontario K1H 8M5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seaweeds are gaining significant attention for their bioactive compounds, which hold great potential for use in food, cosmetics, and pharmaceuticals [1]. To avoid the use of toxic substances in the extraction process, there is a need for innovative and eco-friendly methods to exploit the highly potent raw seaweed biomass. Described herein are the datasets of how the particle size reduction of seaweeds positively enhanced the efficacy of green extraction in boosting the extraction yields of seaweed bioactive compounds. Different green extraction approaches were used to accumulate different seaweed particle sizes that were collected via grinding and sieving [2]. The total yields of carbohydrates, glucuronic acids, proteins, phenolics and flavonoids were quantified to evaluate the efficacy of the extraction strategies. The efficacy and safety usages of the extracts were assessed using different pathogenic bacterial strains and human cell lines, respectively.

Indexed as

AntibacterialAscophyllum nodosumPhenolics and flavonoidsUlva lactuca

Identifiers

PMID40416748
PMCPMC12098167

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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.