Evidence map›Paper›PMID 28319152›Full record

ArticlePloS one2017

A digital PCR method for identifying and quantifying adulteration of meat species in raw and processed food.

Junan Ren, Tingting Deng, Wensheng Huang, Ying Chen, Yiqiang Ge

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Foods (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Current Trends of Food Analysis, Safety, and Packaging.International journal of food science · 2021
    Review
  18. Article
  19. Article
  20. Detection of fish allergen by droplet digital PCR.Italian journal of food safety · 2018
    Article
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

5 authors at 3 institutions in 1 country.

Junan RenCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Tingting DengCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Wensheng HuangAgro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China.
Ying ChenAgro-product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing, China.
Yiqiang GeCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Chinese Academy of Inspection and Quarantine · CNChina Agricultural University · CNChina Rural Technology Development Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meat adulteration is a worldwide concern. In this paper, a new droplet digital PCR (ddPCR) method was developed for the quantitative determination of the presence of chicken in sheep and goat meat products. Meanwhile, a constant (multiplication factor) was introduced to transform the ratio of copy numbers to the proportion of meats. The presented ddPCR method was also proved to be more accurate (showing bias of less than 9% in the range from 5% to 80%) than real-time PCR, which has been widely used in this determination. The method exhibited good repeatability and stability in different thermal treatments and at ultra-high pressure. The relative standard deviation (RSD) values of 5% chicken content was less than 5.4% for ultra-high pressure or heat treatment. Moreover, we confirmed that different parts of meat had no effect on quantification accuracy of the ddPCR method. In contrast to real-time PCR, we examined the performance of ddPCR as a more precise, sensitive and stable analytical strategy to overcome potential problems of discrepancies in amplification efficiency discrepancy and to obtain the copy numbers directly without standard curves. The method and strategy developed in this study can be applied to quantify the presence and to confirm the absence of adulterants not only to sheep but also to other kinds of meat and meat products.

Indexed as

AnimalsBirdsFood ContaminationFood HandlingLinear ModelsMammalsMeat ProductsReal-Time Polymerase Chain ReactionReplication Protein AReproducibility of ResultsReplication Protein A

Identifiers

PMID28319152
PMCPMC5358868
OpenAlexW2602175819

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.