Evidence map›Paper›PMID 37009046›Full record

ArticleFood science and biotechnology2023

Development of a selective medium for the enumeration of lactic acid bacteria and bifidobacteria in food products.

Jae-Hyun Yoon, Ji-Yeon Kim, Jin-Hee Yoo, Sun-Young Lee

Open access · greenAbstract read
In one paragraph

Article in Food science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Jae-Hyun YoonDepartment of Food and Nutrition, Chung-Ang University, 4726, Seodong-Daero, Anseong-Si, Gyeonggi-Do Republic of Korea.
Ji-Yeon KimDepartment of Food and Nutrition, Chung-Ang University, 4726, Seodong-Daero, Anseong-Si, Gyeonggi-Do Republic of Korea.
Jin-Hee YooDepartment of Food and Nutrition, Chung-Ang University, 4726, Seodong-Daero, Anseong-Si, Gyeonggi-Do Republic of Korea.
Sun-Young LeeDepartment of Food and Nutrition, Chung-Ang University, 4726, Seodong-Daero, Anseong-Si, Gyeonggi-Do Republic of Korea.ORCID 0000-0003-3911-4200
Chung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to develop a selective medium for enumerating LAB and Bifidobacteria in food samples. Thirteen media were evaluated to determine their suitability for selectively enumerating LAB (17 bacilli and 7 cocci) and Bifidobacteria (12 strains) under aerobic and anaerobic conditions. When BL, BCP, and mMRS were supplemented with propionic acid (5 ml/l) and adjusted to pH 5, the growth of all indicator microorganisms was inhibited; however, these media also inhibited the growth of certain LAB and Bifidobacterial strains. Using propionic acid, the pH levels of BL, BCP, and mMRS were adjusted to pH 5.2, 6.0, and 6.0, respectively. These media inhibited the growth of all indicator microorganisms, whereas they did not inhibit any of the LAB and Bifidobacteria strains under anaerobic conditions. Overall, BLP (pH 5.8) lacking blood showed significantly higher bacterial counts compared with other media in food products. Further analyses indicated that BLP (pH 5.8) was the most suitable medium for enumerating LAB and Bifidobacteria in food. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-022-01202-z.

Indexed as

BifidobacteriaEnumerationLactic acid bacteriaProbioticSelective medium

Identifiers

PMID37009046
PMCPMC10050526
OpenAlexW4310241079

What OpenQuestion holds

Textmetadata
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.