Non-Contact Radiofrequency Inductive Sensor for the Dielectric Characterization of Burn Depth in Organic Tissues.

burn wounds dielectric characterization inductive sensors non-contact sensors organic tissue radiofrequency sensors

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
11 Mar 2019
Historique:
received: 09 02 2019
revised: 28 02 2019
accepted: 05 03 2019
entrez: 14 3 2019
pubmed: 14 3 2019
medline: 14 3 2019
Statut: epublish

Résumé

A flat circular transmission line-based 300 MHz resonator was implemented for the non-contact assessment of burn depths in biological tissues. Used as a transmit-and-receive sensor, it was placed at a 2 mm distance from organic material test samples (pork fillet samples) which were previously burned on their surface in various heating conditions involving different temperatures, durations, and procedures. Data extracted from the sensor by means of a distant monitoring coil were found to clearly correlate with the depth of burn observed in the tissue samples (up to 40% sensor output changes for a 7 mm burn depth) and with the heating conditions (around 5% sensor output changes observed in samples burned with identical heating procedures but at two different temperatures-75 °C and 150 °C-and around 40% sensor output changes observed between samples heated at the same temperature but with different heating procedures). These results open the way for the development of easy-to-implement assessment and monitoring techniques for burns, e.g., integrated in wearable medical dressing-like monitoring devices.

Identifiants

pubmed: 30861994
pii: s19051220
doi: 10.3390/s19051220
pmc: PMC6427200
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : BPI France
ID : 2016-PRSP-02

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Auteurs

Thi Hong Nhung Dinh (THN)

Centre for Nanoscience and Nanotechnology (C2N), CNRS, University Paris-Sud, Université Paris-Saclay, C2N-Orsay, 91405 Orsay, CEDEX, France. thi-hong-nhung.dinh@u-psud.fr.

Stéphane Serfaty (S)

Systems and Applications of Information and Energy Technologies (SATIE), CNRS, Université de Cergy-Pontoise, 95000 Cergy-Pontoise, France. stephane.serfaty@u-cergy.fr.

Pierre-Yves Joubert (PY)

Centre for Nanoscience and Nanotechnology (C2N), CNRS, University Paris-Sud, Université Paris-Saclay, C2N-Orsay, 91405 Orsay, CEDEX, France. pierre-yves.joubert@c2n.upsaclay.fr.

Classifications MeSH