Evidence map›Paper›PMID 28386077›Full record

ArticleScientific reports2017

An Assay System for Point-of-Care Diagnosis of Tuberculosis using Commercially Manufactured PCB Technology.

Daniel Evans, Konstantinos I Papadimitriou, Louise Greathead, Nikolaos Vasilakis, Panagiotis Pantelidis, Peter Kelleher, Hywel Morgan, Themistoklis Prodromakis

Abstract read
In one paragraph

Article in Scientific reports, 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
  2. Article
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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

8 authors.

Daniel EvansNanoelectronics & Nanotechnology Research Group, School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK. dan_evans@outlook.com.
Konstantinos I PapadimitriouNanoelectronics & Nanotechnology Research Group, School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK.
Louise GreatheadCentre for Immunology and Vaccinology, Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK.
Nikolaos VasilakisNanoelectronics & Nanotechnology Research Group, School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK.
Panagiotis PantelidisCentre for Immunology and Vaccinology, Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK.
Peter KelleherCentre for Immunology and Vaccinology, Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK.
Hywel MorganNanoelectronics & Nanotechnology Research Group, School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK.
Themistoklis ProdromakisNanoelectronics & Nanotechnology Research Group, School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid advances in clinical technologies, detection sensitivity and analytical throughput have delivered a significant expansion in our knowledge of prognostic and diagnostic biomarkers in many common infectious diseases, such as Tuberculosis (TB). During the last decade, a significant number of approaches to TB diagnosis have been attempted at Point-of-Care (PoC), exploiting a large variation of techniques and materials. In this work, we describe an electronics-based Enzyme-Linked ImmunoSorbent Assay (eELISA), using a Lab-on-a-Printed Circuit Board (LoPCB) approach, for TB diagnosis based on cytokine detection. The test relies upon an electrochemical (amperometric) assay, comprising a high-precision bioinstrumentation board and amperometric sensors, produced exclusively using standard PCB manufacturing processes. Electrochemical detection uses standard Au and Ag electrodes together with a bespoke, low-power, multichannel, portable data-acquisition system. We demonstrate high-performance assay chemistry performed at microfluidic volumes on Au pads directly at the PCB surface with improved limit of detection (~10 pg/mL) over standard colorimetric ELISA methods. The assay has also been implemented in plasma, showing the utility of the system for medical applications. This work is a significant step towards the development of a low-cost, portable, high-precision diagnostic and monitoring technology, which once combined with appropriate PCB-based microfluidic networks will provide complete LoPCB platforms.

Indexed as

Lab-On-A-Chip DevicesPoint-of-Care TestingReagent Kits, DiagnosticBiosensing TechniquesElectrochemical TechniquesElectronicsHumansSensitivity and SpecificityTuberculosisReagent Kits, Diagnostic

Identifiers

PMID28386077
PMCPMC5429607

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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.