Evidence map›Paper›PMID 41625075›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Breaking through lag: enhancing intradermal electro-osmotic flow and the future of delay-free continuous glucose monitoring.

Davide Ciarrocchi, Ruben Van den Eeckhoudt, Nurul Izni Rusli, Alessandro Zompanti, Simone Grasso, Lazzaro di Biase, Marco Santonico, Giorgio Pennazza, Irene Taurino

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Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

9 authors.

Davide CiarrocchiDepartment of Science and Technology for Sustainable Development and One Health, Unit of Electronics for Sensor Systems, University Campus Bio-Medico di Roma, Rome, Italy.
Ruben Van den EeckhoudtKU Leuven, Micro- and Nanosystems (MNS), Department of Electrical Engineering (ESAT), Leuven, Belgium.
Nurul Izni RusliDepartment of Mechatronics, Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Perlis, Malaysia.
Alessandro ZompantiDepartment of Engineering, Unit of Electronics for Sensor Systems, University Campus Bio-Medico di Roma, Rome, Italy.
Simone GrassoDepartment of Engineering, Unit of Electronics for Sensor Systems, University Campus Bio-Medico di Roma, Rome, Italy.
Lazzaro di BiaseResearch Unit of Neurology, Neurophysiology and Neurobiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Marco SantonicoDepartment of Science and Technology for Sustainable Development and One Health, Unit of Electronics for Sensor Systems, University Campus Bio-Medico di Roma, Rome, Italy.
Giorgio PennazzaDepartment of Engineering, Unit of Electronics for Sensor Systems, University Campus Bio-Medico di Roma, Rome, Italy.
Irene TaurinoKU Leuven, Department of Physics and Astronomy (HF), Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus represents one of the most widespread chronic diseases globally, characterized by alterations in glucose metabolism that require constant monitoring of blood glucose levels. Traditionally, blood testing has been the standard for glucose monitoring; however, interstitial fluid has emerged as a viable alternative, due to its less invasive nature which enhances user comfort. Despite improvements in technology, the accuracy of currently available continuous glucose monitors remains a concern, particularly when the rate of change is higher, such as in hypoglycemic and hyperglycemic ranges. Effective management of hypoglycemia relies on the monitor's ability to provide precise and specific readings when blood glucose levels drop dangerously low. In this context, the demand for heightened accuracy is paramount to timely alert users to impending hypoglycemic events. The inaccuracies of these sensors are attributed to the dynamics of the sample analysis. Specifically the interstitial fluid experiences a delay in concentration due to the diffusion process from capillary blood to interstitial fluid. In this study, we developed a microfluidic device that simulates the diffusion dynamics from capillary glucose to interstitial fluid. We demonstrate the reduction of lag time diffusion from 20 min to 5 min by increasing dermal electro-osmotic flow, which generates convection that transports glucose faster than diffusion, thus resulting in lower lag times. These findings highlight the potential of inciting electro-osmotic flow for improving the responsiveness and accuracy of CGMs, ultimately enhancing diabetes management for users.

Indexed as

continuous glucose monitoringdiabeteselectrical stimulationelectro-osmotic flowinterstitial fluidlag time reductionlow current densitymicrofluidic chip

Identifiers

PMID41625075
PMCPMC12855458

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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.