Evidence map›Paper›PMID 28798846›Full record

ArticleBiomicrofluidics2017

Characterization and analysis of real-time capillary convective PCR toward commercialization.

Xianbo Qiu, Shiyin Zhang, Lanju Mei, Di Wu, Qi Guo, Ke Li, Shengxiang Ge, Xiangzhong Ye, Ningshao Xia, Michael G Mauk

Abstract read
In one paragraph

Article in Biomicrofluidics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Review
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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

10 authors.

Xianbo QiuInstitute of Microfluidic Chip Development in Biomedical Engineering, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Shiyin ZhangNational Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361005, China.
Lanju MeiInstitute of Micro/Nanotechnology, Old Dominion University, Norfolk, Virginia 23529, USA.
Di WuInstitute of Microfluidic Chip Development in Biomedical Engineering, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Qi GuoInstitute of Microfluidic Chip Development in Biomedical Engineering, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Ke LiBeijing Wantai Biological Pharmacy Enterprise Co., Ltd., Beijing 102206, China.
Shengxiang GeNational Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361005, China.
Xiangzhong YeBeijing Wantai Biological Pharmacy Enterprise Co., Ltd., Beijing 102206, China.
Ningshao XiaNational Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361005, China.
Michael G MaukDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Almost all the reported capillary convective polymerase chain reaction (CCPCR) systems to date are still limited to research use stemming from unresolved issues related to repeatability, reliability, convenience, and sensitivity. To move CCPCR technology forward toward commercialization, a couple of critical strategies and innovations are discussed here. First, single- and dual-end heating strategies are analyzed and compared between each other. Especially, different solutions for dual-end heating are proposed and discussed, and the heat transfer and fluid flow inside the capillary tube with an optimized dual-end heating strategy are analyzed and modeled. Second, real-time CCPCR is implemented with light-emitting diode and photodiode, and the real-time fluorescence detection method is compared with the post-amplification end-point detection method based on a dipstick assay. Thirdly, to reduce the system complexity, e.g., to simplify parameter tuning of the feedback control, an internal-model-control-based proportional-integral-derivative controller is adopted for accurate temperature control. Fourth, as a proof of concept, CCPCR with pre-loaded dry storage of reagent inside the capillary PCR tube is evaluated to better accommodate to point-of-care diagnosis. The critical performances of improved CCPCR, especially with sensitivity, repeatability, and reliability, have been thoroughly analyzed with different experiments using influenza A (H1N1) virus as the detection sample.

Identifiers

PMID28798846
PMCPMC5533481

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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.