Evidence map›Paper›PMID 30956306›Full record

ArticleJournal of food science and technology2019

A sensitive multiplex PCR protocol for simultaneous detection of chicken, duck, and pork in beef samples.

Panzhu Qin, Wei Qu, Jianguo Xu, Dongqing Qiao, Li Yao, Feng Xue, Wei Chen

Abstract read
In one paragraph

Article in Journal of food science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

7 authors.

Panzhu Qin1School of Food and Biological Engineering, Engineering Research Center of Bio-Process, MOE, Hefei University of Technology, Hefei, 230009 China.
Wei Qu2School of Biological and Medical Engineering, Hefei University of Technology, Hefei, 230009 China.
Jianguo Xu1School of Food and Biological Engineering, Engineering Research Center of Bio-Process, MOE, Hefei University of Technology, Hefei, 230009 China.
Dongqing Qiao1School of Food and Biological Engineering, Engineering Research Center of Bio-Process, MOE, Hefei University of Technology, Hefei, 230009 China.
Li Yao1School of Food and Biological Engineering, Engineering Research Center of Bio-Process, MOE, Hefei University of Technology, Hefei, 230009 China.
Feng Xue3College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095 China.
Wei Chen1School of Food and Biological Engineering, Engineering Research Center of Bio-Process, MOE, Hefei University of Technology, Hefei, 230009 China.ORCID 0000-0003-3763-1183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid and sensitive multiplex PCR assay was developed for simultaneous identification of the adulteration ingredients of chicken, duck and pork in beef. Specific primers for the mitochondrial genes of Cyt b, CO III, ATPase subunit 8/6 and Cyt b of chicken, duck, pork, and beef, respectively, were adopted in the assay. DNA exaction from meat samples was carried out by using magnetic nanoparticles as rapid separation substrates. The multiplex PCR assay showed that the limit of detection was 0.05% for each species. Moreover, the multiplex PCR specifically identified five beef samples adulterated with pork and one beef samples adulterated with chicken among the 35 commercial samples examined, indicating the practicability of this multiplex PCR method for identifying adulterated ingredients of chicken, duck, and pork in commercial beef products.

Indexed as

BeefChickenDuckIdentificationMeat adulterationMultiplex PCRPorkSensitivitySpecificity

Identifiers

PMID30956306
PMCPMC6423339

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.