Evidence map›Paper›PMID 39410094›Full record

ArticleFoods (Basel, Switzerland)2024

Identification, Safety Assessment, and Antimicrobial Characteristics of Cocci Lactic Acid Bacteria Isolated from Traditional Egyptian Dairy Products.

Khaled Elsaadany, Abeer I M El-Sayed, Sameh Awad

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A Rushan Acid Whey-DerivedFoods (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Bioprotective Effect of a Bacteriocin-ProducingAntibiotics (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Article
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

3 authors.

Khaled ElsaadanyDepartment of Dairy Science and Technology, Faculty of Agriculture, Alexandria University, Alexandria 21545, Egypt.
Abeer I M El-SayedBotany and Microbiology Department, Faculty of Science, Damanhour University, Damanhour 22511, Egypt.
Sameh AwadDepartment of Dairy Science and Technology, Faculty of Agriculture, Alexandria University, Alexandria 21545, Egypt.ORCID 0000-0001-9532-2245

Funding

Science, Technology & Innovation Funding Authority (STDF) 44264
6 · The paper itself

Abstract

The main objective of this study is to isolate and identify lactic acid bacteria (LAB) from various Egyptian dairy products, examine their antibacterial and hemolysis potential, and ensure their safety when used as starter cultures in different dairy industries. Egyptian dairy products are often made without the use of commercial starter cultures, using raw milk and artisanal methods. The most popular traditional dairy products are Laban Rayeb and Zabady, as well as the cheese varieties of Ras, Domiati, and Karish. The microbial communities used for fermentation and the diversity of lactic acid bacteria are the most important factors that can affect the quality of these products. In order to investigate the diversity of cocci lactic acid bacteria in Egyptian dairy products, 70 samples of raw or fermented milk and cheeses were collected from traditional cheese-making factories, local markets, and farmhouses located in the Delta area of Egypt. Following this, the LAB were isolated from the samples. One hundred fifty-seven isolates of Gram-positive, catalase-negative, and cocci bacterial species were identified via rep-PCR, and some isolates were confirmed using pheS and 16S rRNA gene sequencing, as follows:

Indexed as

cocci lactic acid bacteriaEgyptian dairy productsEnterococcus faecalisEnterococcus faeciumLactococcus lactis subsp. lactisPediococcus acidilactici

Identifiers

PMID39410094
PMCPMC11475065

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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.