Evidence map›Paper›PMID 39774609›Full record

ArticleMicrosystems & nanoengineering2025

Micro-vibration assisted dual-layer spiral microneedles to rapidly extract dermal interstitial fluid for minimally invasive detection of glucose.

Khaled Mohammed Saifullah, Asim Mushtaq, Pouria Azarikhah, Philip D Prewett, Graham J Davies, Zahra Faraji Rad

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Khaled Mohammed SaifullahSchool of Engineering, University of Southern Queensland, Springfield, QLD, 4300, Australia.ORCID http://orcid.org/0000-0001-8207-0675
Asim MushtaqCentre for Future Materials, Institute for Advanced Engineering and Space Sciences, University of Southern Queensland, Springfield, QLD, Australia.
Pouria AzarikhahSchool of Engineering, University of Southern Queensland, Springfield, QLD, 4300, Australia.
Philip D PrewettSchool of Engineering, University of Birmingham, Birmingham, B15 2TT, UK.ORCID http://orcid.org/0000-0003-2313-0943
Graham J DaviesFaculty of Engineering, UNSW Australia, Sydney, NSW, 2052, Australia.
Zahra Faraji RadSchool of Engineering, University of Southern Queensland, Springfield, QLD, 4300, Australia. Zahra.FarajiRad@usq.edu.au.ORCID http://orcid.org/0000-0001-6528-5965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various hydrogels have been explored to create minimally invasive microneedles (MNs) to extract interstitial fluid (ISF). However, current methods are time-consuming and typically require 10-15 min to extract 3-5 mg of ISF. This study introduces two spiral-shaped swellable MN arrays: one made of gelatin methacryloyl (GelMA) and polyvinyl alcohol (PVA), and the other incorporating a combination of PVA, polyvinylpyrrolidone (PVP), and hyaluronic acid (HA) for fast ISF extraction. These MN arrays demonstrated a rapid swelling ratio of 560 ± 79.6% and 370 ± 34.1% in artificial ISF within 10 min, respectively. Additionally, this study proposes a novel method that combines MNs with a custom-designed Arduino-based applicator vibrating at frequency ranges (50-100 Hz) to improve skin penetration efficiency, thereby enhancing the uptake of ISF in ex vivo. This dynamic combination enables GelMA/PVA MNs to rapidly uptake 6.41 ± 1.01 mg of ISF in just 5 min, while PVA/PVP/HA MNs extract 5.38 ± 0.77 mg of ISF within the same timeframe. To validate the capability of the MNs to recover glucose as the target biomarker, a mild heating procedure is used, followed by determining glucose concentration using a D-glucose content assay kit. The efficient extraction of ISF and glucose detection capabilities of the spiral MNs suggest their potential for rapid and minimally invasive biomarker sensing.

Identifiers

PMID39774609
PMCPMC11706973

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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.