Evidence map›Paper›PMID 33053711›Full record

ArticleMicroorganisms2020

Study on the Identification Methods for Effective Microorganisms in Commercially Available Organic Agriculture Materials.

Ashutosh Bahuguna, Ah-Ryeong Joe, Vishal Kumar, Jong Suk Lee, Sung-Youn Kim, Ji-Young Moon, Soon-Kil Cho, Hyunjeong Cho, Myunghee Kim

Abstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Safety Analysis of Korean Cottage Industries'Foods (Basel, Switzerland) · 2023
    Article
  2. Article
  3. Article
  4. Polish journal of microbiology · 2022
    Article
  5. Prevalence and characterization of toxigenicFood science and biotechnology · 2022
    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

9 authors.

Ashutosh BahugunaDepartment of Food Science and Technology, Yeungnam University, Gyeongsan, Gyeongsangbuk-do 38541, Korea.
Ah-Ryeong JoeDepartment of Food Science and Technology, Yeungnam University, Gyeongsan, Gyeongsangbuk-do 38541, Korea.
Vishal KumarDepartment of Food Science and Technology, Yeungnam University, Gyeongsan, Gyeongsangbuk-do 38541, Korea.
Jong Suk LeeDivision of Food and Nutrition and Cook, Taegu Science University, Daegu 41453, Korea.
Sung-Youn KimExperiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Korea.
Ji-Young MoonGyeonggi Provincial Office, National Agricultural Products Quality Management Service, Anyang 14035, Korea.
Soon-Kil ChoExperiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Korea.
Hyunjeong ChoExperiment Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Korea.
Myunghee KimDepartment of Food Science and Technology, Yeungnam University, Gyeongsan, Gyeongsangbuk-do 38541, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of microorganisms in closely related groups is challenging. The present work focused on the different molecular methodology for the accurate microbial identification in the five commercially available organic agriculture materials enriched with effective microorganisms. From the tested five organic agricultural materials, a total of seven distinct bacterial colonies (A-1, B-1, C-1, D-1, E-1, E-2, and E-3) were isolated and processed for sequential identification utilizing HiCrome™

Indexed as

Bacilluseffective microorganismsRAPD-PCRspecies-specific PCR

Identifiers

PMID33053711
PMCPMC7599497

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.