Evidence map›Paper›PMID 35211105›Full record

ArticleFrontiers in microbiology2022

Dimensional Analysis Model Predicting the Number of Food Microorganisms.

Cuiqin Li, Laping He, Yuedan Hu, Hanyu Liu, Xiao Wang, Li Chen, Xuefeng Zeng

Abstract read
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In one paragraph

Article in Frontiers in microbiology, 2022. 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

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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

7 authors.

Cuiqin LiKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.
Laping HeKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.
Yuedan HuKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.
Hanyu LiuKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.
Xiao WangKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.
Li ChenKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.
Xuefeng ZengKey Laboratory of Agricultural and Animal Products Storage and Processing of Guizhou Province, Guizhou University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the number of microorganisms has excellent application in the food industry. It helps in predicting and managing the storage time and food safety. This study aimed to establish a new, simple, and effective model for predicting the number of microorganisms. The dimensional analysis model (DAM) was established based on dimensionless analysis and the Pi theorem. It was then applied to predict the number of

Indexed as

dimensional analysisPi theorempredicting microorganism modelstorage timevalidation

Identifiers

PMID35211105
PMCPMC8861324

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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.