Evidence map›Paper›PMID 34198559›Full record

ArticleMicromachines2021

Pre-Degassed Microfluidic Chamber-Based Digital PCR Device for Meat Authentication Applications.

Hezhi Hu, Jingmeng Cheng, Chunyang Wei, Shanshan Li, Chengzhuang Yu, Xiaoshuai Meng, Junwei Li

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 1 institution in 1 country.

Hezhi HuState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300132, China.
Jingmeng ChengHebei Key Laboratory of Smart Sensing and Human-robot Interactions, School of Mechanical Engineering, Tianjin 300130, China.
Chunyang WeiHebei Key Laboratory of Smart Sensing and Human-robot Interactions, School of Mechanical Engineering, Tianjin 300130, China.
Shanshan LiState Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300132, China.ORCID 0000-0001-8293-9676
Chengzhuang YuHebei Key Laboratory of Smart Sensing and Human-robot Interactions, School of Mechanical Engineering, Tianjin 300130, China.
Xiaoshuai MengHebei Key Laboratory of Smart Sensing and Human-robot Interactions, School of Mechanical Engineering, Tianjin 300130, China.
Junwei LiDepartment of Electronic and Information Engineering, Hebei University of Technology, Langfang 065000, China.ORCID 0000-0002-1724-4752
Hebei University of Technology · CN

Funding

Department of Human Resources and Social Security of Hebei Province C20200314Fund for Distinguish Young Scholars in Tianjin 2018 3rd Round, 180191Hebei Natural Science Foundation E2020202101Hebei Science and Technology Foundation 19271707DJiangsu Key Laboratory of Advanced Manufacturing Equipment and Technology FMZ202016National Natural Science Foundation of China 51728502 and 51505123
6 · The paper itself

Abstract

Droplet digital polymerase chain reaction (ddPCR) suffers from the need for specific equipment and skilled personnel; thus, we here present a chamber-based digital PCR microfluidic device that is compatible with fluorescence image read-out systems and removes bubbles by a pre-degassed microfluidic device that consists of a pilot channel and micro chamber arrays. Digitalized PCR reagents are introduced into micro chambers, and thermocycles are taken to perform a DNA amplification process. Then, fluorescence images of a micro chamber array are read out and analyzed to obtain the total number of positive chambers. Thereby, the copy numbers of target DNA are calculated for quantitative detections. As a validation, this device is evaluated by the application of meat authentication. We performed dPCR tests using DNA templates extracted from a pure mutton DNA template with different dilutions. Then, the dPCR chip was used to identify the meat authentication using mutton-chicken mixtures with different mass ratios, showing its performance in real biotechnical applications.

Indexed as

degasdigital polymerase chain reactionmeat authenticationmicrofluidics

Identifiers

PMID34198559
PMCPMC8231815
OpenAlexW3165894420

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.