Evidence map›Paper›PMID 33563789›Full record

ArticlemSystems2021

Microbiota Assessments for the Identification and Confirmation of Slit Defect-Causing Bacteria in Milk and Cheddar Cheese.

Zhengyao Xue, Jason T Brooks, Zachary Quart, Eric T Stevens, Mary E Kable, Jessie Heidenreich, Jeremy McLeod, Maria L Marco

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  8. Novel methods of microbiome analysis in the food industry.International microbiology : the official journal of the Spanish Society for Microbiology · 2021
    Review
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

8 authors at 2 institutions in 1 country.

Zhengyao XueDepartment of Food Science and Technology, University of California Davis, Davis, California, USA.
Jason T BrooksDepartment of Food Science and Technology, University of California Davis, Davis, California, USA.
Zachary QuartDepartment of Food Science and Technology, University of California Davis, Davis, California, USA.
Eric T StevensDepartment of Food Science and Technology, University of California Davis, Davis, California, USA.
Mary E KableUSDA, Agricultural Research Service, Western Human Nutrition Research Center, Immunity and Disease Prevention, Davis, California, USA.
Jessie HeidenreichHilmar Cheese Company, Hilmar, California, USA.
Jeremy McLeodHilmar Cheese Company, Hilmar, California, USA.
Maria L MarcoDepartment of Food Science and Technology, University of California Davis, Davis, California, USA mmarco@ucdavis.edu.ORCID https://orcid.org/0000-0002-3643-9766
University of California, Davis · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Validated methods are needed to detect spoilage microbes present in low numbers in foods and ingredients prior to defect onset. We applied propidium monoazide combined with 16S rRNA gene sequencing, qPCR, isolate identification, and pilot-scale cheese making to identify the microorganisms that cause slit defects in industrially produced Cheddar cheese. To investigate milk as the source of spoilage microbes, bacterial composition in milk was measured immediately before and after high-temperature, short-time (HTST) pasteurization over 10-h periods on 10 days and in the resulting cheese blocks. Besides HTST pasteurization-induced changes to milk microbiota composition, a significant increase in numbers of viable bacteria was observed over the 10-h run times of the pasteurizer, including 68-fold-higher numbers of the genus

Indexed as

cheesefood fermentationfood qualityheterofermentationlactic acid bacteriamicrobiotamilkpasteurizationspoilagethermoduric bacteria

Identifiers

PMID33563789
PMCPMC7883541
OpenAlexW3127162061

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.