Evidence map›Paper›PMID 39155919›Full record

ArticleIEEE journal of translational engineering in health and medicine2024

Equivalent Electrical Circuit Approach to Enhance a Transducer for Insulin Bioavailability Assessment.

Francesca Mancino, Hanen Nouri, Nicola Moccaldi, Pasquale Arpaia, Olfa Kanoun

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Francesca MancinoDepartment of Electrical Engineering and Information Technology (DIETI)University of Naples Federico II Naples 80125 Italy.ORCID 0000-0001-5024-8117
Hanen NouriDepartment of Electrical Engineering and Information TechnologyChemnitz University of Technology Chemnitz 09107 Germany.ORCID 0000-0002-6329-0370
Nicola MoccaldiDepartment of Electrical Engineering and Information Technology (DIETI)University of Naples Federico II Naples 80125 Italy.ORCID 0000-0002-1035-5740
Pasquale ArpaiaDepartment of Electrical Engineering and Information Technology (DIETI)University of Naples Federico II Naples 80125 Italy.ORCID 0000-0002-5192-5922
Olfa KanounDepartment of Electrical Engineering and Information TechnologyChemnitz University of Technology Chemnitz 09107 Germany.ORCID 0000-0002-7166-1266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The equivalent electrical circuit approach is explored to improve a bioimpedance-based transducer for measuring the bioavailability of synthetic insulin already presented in previous studies. In particular, the electrical parameter most sensitive to the variation of insulin amount injected was identified. Eggplants were used to emulate human electrical behavior under a quasi-static assumption guaranteed by a very low measurement time compared to the estimated insulin absorption time. Measurements were conducted with the EVAL-AD5940BIOZ by applying a sinusoidal voltage signal with an amplitude of 100 mV and acquiring impedance spectra in the range [1-100] kHz. 14 units of insulin were gradually administered using a Lilly's Insulin Pen having a 0.4 cm long needle. Modified Hayden's model was adopted as a reference circuit and the electrical component modeling the extracellular fluids was found to be the most insulin-sensitive parameter. The trnasducer achieves a state-of-the-art sensitivity of 225.90 ml1. An improvement of 223 % in sensitivity, 44 % in deterministic error, 7 % in nonlinearity, and 42 % in reproducibility was achieved compared to previous experimental studies. The clinical impact of the transducer was evaluated by projecting its impact on a Smart Insulin Pen for real-time measurement of insulin bioavailability. The wide gain in sensitivity of the bioimpedance-based transducer results in a significant reduction of the uncertainty of the Smart Insulin Pen. Considering the same improvement in in-vivo applications, the uncertainty of the Smart Insulin Pen is decreased from [Formula: see text]l to [Formula: see text]l.Clinical and Translational Impact Statement: A Smart Insulin Pen based on impedance spectroscopy and equivalent electrical circuit approach could be an effective solution for the non-invasive and real-time measurement of synthetic insulin uptake after subcutaneous administration.

Indexed as

Biological AvailabilityInsulinDielectric SpectroscopyElectric ImpedanceEquipment DesignHumansTransducersInsulinBioimpedance spectroscopydiabetesequivalent circuit approachinsulin bioavailabilitymetrological characterizationsmart transducer

Identifiers

PMID39155919
PMCPMC11329217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.