Evidence map›Paper›PMID 34194105›Full record

ArticleJournal of food science and technology2021

Determining the presence of undeclared animal species using Real-time PCR in canned and ready-to-eat meat products in South Africa.

Sandhya Sreenivasan Tantuan, Christopher D Viljoen

Abstract read
In one paragraph

Article in Journal of food science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Sandhya Sreenivasan TantuanHuman Molecular Biology Unit, School of Biomedical Sciences, University of the Free State, PO Box 339 (G2), Bloemfontein, 9301 South Africa.ORCID 0000-0002-5451-0132
Christopher D ViljoenHuman Molecular Biology Unit, School of Biomedical Sciences, University of the Free State, PO Box 339 (G2), Bloemfontein, 9301 South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA based PCR is the most widely used technique for the detection of animal species in processed meat products. However, the detection of animal species in highly processed meat products, specifically, canned meat, has been reported to be challenging due to the presence of highly degraded DNA and/or the inability to extract sufficient amount of amplifiable DNA. The aim of this study was to evaluate the use of Real-time PCR to detect animal species in ready-to-eat meat products which represent highly processed complex food matrices. DNA was extracted from a total of 44 ready-to-eat meat products purchased from supermarkets in South Africa. The extracted DNA was screened for the presence of commonly reported undeclared animal species using Real-time PCR. Real-time PCR successfully detected the animal species declared on the product label, thus demonstrating its suitability for highly processed complex food matrices. Undeclared animal species was detected in 27% of the meat products tested in this study. Surprisingly, four products marketed with a specific "no-pork" claim tested positive for pork. An additional eight products tested positive for undeclared chicken, beef and/or sheep. The presence of undeclared animal species indicates a need for food authenticity monitoring. In cases where it may not be practically feasible to prevent the adventitious presence of unintended animal species despite adhering to the highest standards of production, it may be advisable for manufacturers to implement precautionary labelling. The use of precautionary labelling for animal species in processed meat products is a new concept that requires further consideration.

Indexed as

Food authenticityPrecautionary labellingProcessed meatReal-time PCR

Identifiers

PMID34194105
PMCPMC8196112

What OpenQuestion holds

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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.