Evidence map›Paper›PMID 35425215›Full record

ArticleRSC advances2022

Temperature non-uniformity detection on dPCR chips and temperature sensor calibration.

Martina Gaňová, Xinlu Wang, Zhiqiang Yan, Haoqing Zhang, Tomáš Lednický, Marie Korabečná, Pavel Neužil

Abstract read
In one paragraph

Article in RSC advances, 2022. 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. Article
  2. Exploring the Frontiers of Cell Temperature Measurement and Thermogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Martina GaňováCentral European Institute of Technology, Brno University of Technology Purkyňova 123 612 00 Brno Czech Republic.
Xinlu WangNorthwestern Polytechnical University, School of Mechanical Engineering, Department of Microsystem Engineering 127 West Youyi Road Xi'an Shaanxi 710072 PR China pavel.neuzil@gmail.com.
Zhiqiang YanNorthwestern Polytechnical University, School of Marine Science and Technology 127 West Youyi Road Xi'an Shaanxi 710072 PR China.ORCID https://orcid.org/0000-0002-7569-2617
Haoqing ZhangNorthwestern Polytechnical University, School of Mechanical Engineering, Department of Microsystem Engineering 127 West Youyi Road Xi'an Shaanxi 710072 PR China pavel.neuzil@gmail.com.ORCID https://orcid.org/0000-0003-1138-0427
Tomáš LednickýCentral European Institute of Technology, Brno University of Technology Purkyňova 123 612 00 Brno Czech Republic.
Marie KorabečnáInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague Albertov 4 128 00 Prague Czech Republic.
Pavel NeužilNorthwestern Polytechnical University, School of Mechanical Engineering, Department of Microsystem Engineering 127 West Youyi Road Xi'an Shaanxi 710072 PR China pavel.neuzil@gmail.com.ORCID https://orcid.org/0000-0001-9040-281X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A microfluidic-based digital polymerase chain reaction (dPCR) chip requires precise temperature control as well as uniform temperature distribution to ensure PCR efficiency. However, measuring local temperature and its distribution over thousands of μL/nL-volume samples with minimum disturbance is challenging. Here, we present a method of non-contact localized temperature measurement for determination of the non-uniformity of temperature distribution over a dPCR chip. We filled the dPCR chip with a PCR solution containing amplified DNA fragments with a known melting temperature (

Identifiers

PMID35425215
PMCPMC8979175

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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.