Evidence map›Paper›PMID 36984943›Full record

ArticleMicromachines2023

Design and Fabrication of a Fully-Integrated, Miniaturised Fluidic System for the Analysis of Enzyme Kinetics.

Andreas Tsiamis, Anthony Buchoux, Stephen T Mahon, Anthony J Walton, Stewart Smith, David J Clarke, Adam A Stokes

Abstract read
In one paragraph

Article in Micromachines, 2023. 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

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

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

7 authors.

Andreas TsiamisSchool of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3FF, UK.ORCID 0000-0002-0103-9447
Anthony BuchouxSchool of Engineering, Institute for Multiscale Thermofluids, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3LJ, UK.
Stephen T MahonSchool of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3FF, UK.ORCID 0000-0001-8108-5082
Anthony J WaltonSchool of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3FF, UK.ORCID 0000-0002-8110-2230
Stewart SmithSchool of Engineering, Institute for Bio-Engineering, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3FF, UK.ORCID 0000-0002-7004-9219
David J ClarkeEaStCHEM School of Chemistry, The University of Edinburgh, Edinburgh EH9 3FJ, UK.
Adam A StokesSchool of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3FF, UK.ORCID 0000-0002-6140-619X

Funding

Engineering and Physical Sciences Research Council EP/K034510/1, EP/P005705/1
6 · The paper itself

Abstract

The lab-on-a-chip concept, enabled by microfluidic technology, promises the integration of multiple discrete laboratory techniques into a miniaturised system. Research into microfluidics has generally focused on the development of individual elements of the total system (often with relatively limited functionality), without full consideration for integration into a complete fully optimised and miniaturised system. Typically, the operation of many of the reported lab-on-a-chip devices is dependent on the support of a laboratory framework. In this paper, a demonstrator platform for routine laboratory analysis is designed and built, which fully integrates a number of technologies into a single device with multiple domains such as fluidics, electronics, pneumatics, hydraulics, and photonics. This facilitates the delivery of breakthroughs in research, by incorporating all physical requirements into a single device. To highlight this proposed approach, this demonstrator microsystem acts as a fully integrated biochemical assay reaction system. The resulting design determines enzyme kinetics in an automated process and combines reservoirs, three-dimensional fluidic channels, optical sensing, and electronics in a low-cost, low-power and portable package.

Indexed as

fluidicsintegrated devicesintegrationlab-on-a-chipminiaturised total analysis systemoptofluidicssensors

Identifiers

PMID36984943
PMCPMC10051508

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.