Evidence map›Paper›PMID 33987541›Full record

ReviewFood science of animal resources2021

Clean Label Meat Technology: Pre-Converted Nitrite as a Natural Curing.

Hae In Yong, Tae-Kyung Kim, Hee-Don Choi, Hae Won Jang, Samooel Jung, Yun-Sang Choi

Open access · diamondAbstract readReview
In one paragraph

Review in Food science of animal resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 62 citations in OpenAlex.

  1. Trial
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  4. Strategies for replacing phosphates in meat processing.Food science of animal resources · 2026
    Review
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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

6 authors at 3 institutions in 1 country.

Hae In YongResearch Group of Food Processing, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-0970-4496
Tae-Kyung KimResearch Group of Food Processing, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-6349-4314
Hee-Don ChoiResearch Group of Food Processing, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-8973-0330
Hae Won JangResearch Group of Food Processing, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-4797-9880
Samooel JungDivision of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea.ORCID https://orcid.org/0000-0002-8116-188X
Yun-Sang ChoiResearch Group of Food Processing, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-8060-6237
Korea Food Research Institute · KRChungnam National University · KRSungshin Women's University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clean labeling is emerging as an important issue in the food industry, particularly for meat products that contain many food additives. Among synthetic additives, nitrite is the most important additive in the meat processing industry and is related to the development of cured color and flavor, inhibition of oxidation, and control of microbial growth in processed meat products. As an alternative to synthetic nitrite, pre-converted nitrite from natural microorganisms has been investigated, and the applications of pre-converted nitrite have been reported. Natural nitrate sources mainly include fruits and vegetables with high nitrate content. Celery juice or powder form have been used widely in various studies. Many types of commercial starter cultures have been developed.

Indexed as

clean labelnatural curingnitritepre-converted nitritetechnology

Identifiers

PMID33987541
PMCPMC8115001
OpenAlexW3110686831

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.