Evidence map›Paper›PMID 31227695›Full record

ArticleNature communications2019

Monitoring biomolecule concentrations in tissue using a wearable droplet microfluidic-based sensor.

Adrian M Nightingale, Chi Leng Leong, Rachel A Burnish, Sammer-Ul Hassan, Yu Zhang, Geraldine F Clough, Martyn G Boutelle, David Voegeli, Xize Niu

Open access · goldAbstract readValidation StudyVideo-Audio Media
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 146 citations in OpenAlex.

  1. Review
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  9. Article
  10. 3D printing of micro-nano devices and their applications.Microsystems & nanoengineering · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Periodic Flows in Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  15. Microfluidic-based systems for the management of diabetes.Drug delivery and translational research · 2024
    Review
  16. Review
  17. Review
  18. Article
  19. Biomimetic Wearable Sensors: Emerging Combination of Intelligence and Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  20. 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

9 authors at 4 institutions in 1 country.

Adrian M NightingaleFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.ORCID http://orcid.org/0000-0003-2445-4827
Chi Leng LeongFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Rachel A BurnishCritical Care/ Anaesthesia and Perioperative Medicine Research Unit, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.
Sammer-Ul HassanFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.ORCID http://orcid.org/0000-0002-0319-5814
Yu ZhangFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Geraldine F CloughFaculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK.
Martyn G BoutelleDepartment of Bioengineering, Imperial College London, South Kensington, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0003-1332-3442
David VoegeliFaculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Xize NiuFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK. x.niu@soton.ac.uk.
University of Southampton · GBImperial College London · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Winchester · GB

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/M012425/1
6 · The paper itself

Abstract

Knowing how biomarker levels vary within biological fluids over time can produce valuable insight into tissue physiology and pathology, and could inform personalised clinical treatment. We describe here a wearable sensor for monitoring biomolecule levels that combines continuous fluid sampling with in situ analysis using wet-chemical assays (with the specific assay interchangeable depending on the target biomolecule). The microfluidic device employs a droplet flow regime to maximise the temporal response of the device, using a screw-driven push-pull peristaltic micropump to robustly produce nanolitre-sized droplets. The fully integrated sensor is contained within a small (palm-sized) footprint, is fully autonomous, and features high measurement frequency (a measurement every few seconds) meaning deviations from steady-state levels are quickly detected. We demonstrate how the sensor can track perturbed glucose and lactate levels in dermal tissue with results in close agreement with standard off-line analysis and consistent with changes in peripheral blood levels.

Indexed as

Lab-On-A-Chip DevicesPoint-of-Care SystemsWearable Electronic DevicesBiomarkersBlood GlucoseEquipment DesignGlucoseHealthy VolunteersHumansLactic AcidMicrodialysisMicrofluidic Analytical TechniquesSkinBiomarkersBlood GlucoseGlucoseLactic Acid

Identifiers

PMID31227695
PMCPMC6588579
OpenAlexW2952943235

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.