Evidence map›Paper›PMID 38628186›Full record

ArticleFood science & nutrition2024

Research on quantitative detection technology of raccoon-derived ingredient adulteration in sausage products.

Hui Wang, Chen Chen, Mengying Xie, Yan Zhang, Boxu Chen, Yongyan Li, Wenshen Jia, Jia Chen, Wei Zhou

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Hui WangHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.
Chen ChenHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.
Mengying XieHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.
Yan ZhangHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.
Boxu ChenHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.
Yongyan LiHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.
Wenshen JiaInstitute of Quality Standard and Testing Technology Beijing Academy of Agriculture and Forestry Sciences Beijing China.ORCID https://orcid.org/0009-0001-5957-4098
Jia ChenCollege of Chemical Technology Shijiazhuang University Shijiazhuang China.
Wei ZhouHebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health Hebei Food Inspection and Research Institute Shijiazhuang China.ORCID https://orcid.org/0000-0003-1763-714X
Hebei Food Inspection and Research Institute · CNBeijing Academy of Agricultural and Forestry Sciences · CNShijiazhuang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This project presents a quantitative detection method to identify raccoon-derived ingredient adulteration in sausage products. The specific copy gene of the raccoon was selected as the target gene. According to the specificity of its primer and probe, the quantitative detection method of raccoon microdrops by droplet digital PCR was established. In addition, the accuracy of the proposed method was verified by artificially mixed samples, and the applicability of this method was tested based on the commercially available products. The experimental results indicate that the raccoon mass (

Indexed as

droplet digital PCRquantitative studyraccoonsausage adulteration

Identifiers

PMID38628186
PMCPMC11016427
OpenAlexW4391141846

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.