Synergistic antifungal and anti-aflatoxigenic effects of lactic acid bacteria and golden berry in a functional high-protein beverage.

Tarek Nour Soliman, Ahmed Noah Badr, Feriala A A Abu Safe, Karolina Hoppe, Wayne T Shier, Yehia Hassan Abu Sree

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. 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

6 authors.

Tarek Nour SolimanDairy Department, Food Industries and Nutrition Research Institute, National Research Centre, Dokki, Cairo, 12622, Egypt. tariknour.nrc@gmail.com.

Ahmed Noah BadrFood Toxicology and Contaminants Department, National Research Centre, Dokki, Cairo, 12622, Egypt.

Feriala A A Abu SafeBotany Department, Faculty of Women for Arts, Science, and Education, Ain Shams University, Cairo, Egypt.

Karolina HoppeDepartment of Chemistry, Poznań University of Life Science, ul. Wojska Polskiego 75, 60- 625, Poznań, Poland.

Wayne T ShierMedicinal Chemistry Department, Minnesota University, Minneapolis, MN, 55455, USA.

Yehia Hassan Abu SreeFood Toxicology and Contaminants Department, National Research Centre, Dokki, Cairo, 12622, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-protein beverages are valued for their health benefits, but they face threats from toxigenic fungi and mycotoxins This study developed a novel, functional high-protein beverage (HPB) by synergistically combining whey protein concentrate (WPC), fermented by specific bacteria, with Physalis peruviana (golden berry) powder (at a 1:5; w/w). Three bacterial strains-Lactobacillus plantarum (BS-2), L. pentosus (BS-1), and L. paracasei (BS-3)-were involved for the fermentation, individually and in combinations. Fortification with golden berry significantly enhanced the phytochemical profile, increasing phenolic content (22.97 ± 0.56 mg GAE/g), flavonoids (97.15 ± 2.58 mg QE/g), and antioxidant capacity compared to the control. The BS-2 strain exhibited the strongest antifungal activity, inhibiting fungal growth by 53.8 ± 0.41% and completely suppressing the aflatoxin B

Indexed as

AflatoxinsAntifungal AgentsBeveragesFruitLactobacillalesPhysalisAntioxidantsAspergillusFermentationWhey ProteinsAflatoxinsAntifungal AgentsAntioxidantsWhey ProteinsAnti-aflatoxigenicAntifungal activityFermented high-protein beverageHigh-protein beverage characteristicsLactic acid bacteria

Identifiers

PMID41360836

DOI10.1038/s41598-025-24160-y

PMCPMC12689706

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.