Evidence map›Paper›PMID 35028592›Full record

ArticleCurrent research in food science2022

A quantitative detection of mung bean in chestnut paste using duplex digital PCR.

Yingjie Liang, Dongwei Gao, Jie Dong, Lijun Guan, Zhiyong Li, Jin Liu

Abstract read
In one paragraph

Article in Current research in food science, 2022. 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
–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

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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. Refinement and application of 12SCurrent research in food science · 2026
    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

6 authors.

Yingjie LiangGuangzhou Customs Technology Center, No. 66 Huacheng Avenue, Tianhe District, Guangzhou, China.
Dongwei GaoGuangzhou Customs Technology Center, No. 66 Huacheng Avenue, Tianhe District, Guangzhou, China.
Jie DongGuangzhou Customs Technology Center, No. 66 Huacheng Avenue, Tianhe District, Guangzhou, China.
Lijun GuanGuangzhou Customs Technology Center, No. 66 Huacheng Avenue, Tianhe District, Guangzhou, China.
Zhiyong LiGuangzhou Customs Technology Center, No. 66 Huacheng Avenue, Tianhe District, Guangzhou, China.
Jin LiuGuangzhou Customs Technology Center, No. 66 Huacheng Avenue, Tianhe District, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly manufacturing process of chestnut paste leaves a considerable space for Economically Motivated Adulteration (EMA) with cheaper ingredients such as mung bean. In this paper a novel quantitative detection of mung bean in chestnut paste using duplex digital PCR was reported. Two sets of primers and probes were designed according to mung bean and chestnut specific genomic genes suitable for duplex droplet digital PCR (ddPCR) and duplex chip digital PCR (cdPCR) to set up a mass ratio quantitative detection method for mung bean, a common alternative plant-derived ingredient in chestnut paste products. The manufacturing process of chestnut paste products was considered to establish the linear relationship formula between mass ratio and gene copy number (CN) ratio of the two ingredients. The limits of quantification for gene CN concentrations (LOQ

Indexed as

Chestnut pasteDigital PCRMung beanQuantification

Identifiers

PMID35028592
PMCPMC8715136

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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.