Evidence map›Paper›PMID 31086245›Full record

ArticleScientific reports2019

A high-throughput and ultrasensitive identification methodology for unauthorized GMP component based on suspension array and logical calculator.

Pengyu Zhu, Wei Fu, Shuang Wei, Xiao Liu, Chenguang Wang, Yun Lu, Ying Shang, Xiyang Wu, Yuping Wu, Shuifang Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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

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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. 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

10 authors.

Pengyu ZhuChinese Academy of Inspection and Quarantine, Beijing, 100029, China.
Wei FuChinese Academy of Inspection and Quarantine, Beijing, 100029, China.
Shuang WeiGuangdong Entry-Exit Inspection and Quarantine Bureau, Guangdong, 510000, China.
Xiao LiuChinese Academy of Inspection and Quarantine, Beijing, 100029, China.
Chenguang WangChinese Academy of Inspection and Quarantine, Beijing, 100029, China.
Yun LuChinese Academy of Inspection and Quarantine, Beijing, 100029, China.
Ying ShangYunnan Insititute of Food Safety, Kunmming University of Science and technology, Yunnan, 650500, China.
Xiyang WuDepartment of Food Science and Engineering, Jinan University, Guangzhou, 510000, China.
Yuping WuChinese Academy of Inspection and Quarantine, Beijing, 100029, China. wuyuping@caiqtest.com.
Shuifang ZhuChinese Academy of Inspection and Quarantine, Beijing, 100029, China. zhusf@caiq.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To solve the problem of the unauthorized GMP components within import and export goods, the LI-US (Logic Identification of unauthorized GMP content by Universal-primer Suspension-array) system, which takes advantage of suspension array and logic calculator, was developed in the present study. Seventeen signal input channels have been optimized and validated in our research to ensure the multiplex practicality of the LI-US system. Three LI-US logic gates, including a YES gate, an OR gate and an AND gate, were designed as different detection strategies for GMP identification. The feasibility and specificity of the LI-US system were validated in the present study. Combining the optimization and evaluation of the signal input procedure, the sensitivity of this LI-US system reached 0.05% of the GMP mass concentration. The practicability evaluation of LI-US demonstrated its application within different substrates and varieties. In conclusion, the LI-US system was developed with extremely high specificity, sensitivity and practicability among different substrates and varieties, which could meet the demands of unauthorized GMP contents for both import and export goods.

Identifiers

PMID31086245
PMCPMC6513989

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