Spectral measurements with hybrid LMR and SAW platform for dual parameter sensing.


Journal

The Analyst
ISSN: 1364-5528
Titre abrégé: Analyst
Pays: England
ID NLM: 0372652

Informations de publication

Date de publication:
21 Nov 2022
Historique:
pubmed: 3 11 2022
medline: 3 11 2022
entrez: 2 11 2022
Statut: epublish

Résumé

Lossy mode resonance (LMR)-based optical sensors change their wavelength upon contact with substances or gases. This allows developing applications to detect the refractive index of the surrounding medium and even the thickness of the biolayers deposited on the waveguide. In the same way, when acoustic sensors are in contact with a liquid, it is possible to determine parameters, especially mechanical ones such as shape of the particle or molecule, mass load, elastic constants and viscosity of the liquid. This work reports the development of a system that combines LMR with surface acoustic wave (SAW) technologies to characterize a liquid in terms of its refractive index and viscosity simultaneously. Conveniently prepared glucose solutions are used for sensor calibration. The refractive index of the solutions ranges from 1.33 to 1.41 and its viscosity ranges from 1.005 mPa·s to 9 mPa·s, respectively. A sensitivity of 332 nm per RIU has been achieved with the optical sensor while the acoustic sensor has shown a sensitivity of -1.5 dB/(mPa·s). This new combinational concept could be expanded to the development of more demanding applications such as chemical sensors or biosensors.

Identifiants

pubmed: 36321954
doi: 10.1039/d2an01371a
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5477-5485

Auteurs

Ismel Dominguez (I)

Electrical, Electronic and Communications Engineering Department, Public University of Navarra, 31006 Pamplona, Spain. jmcorres@unavarra.es.

Ignacio Del Villar (I)

Electrical, Electronic and Communications Engineering Department, Public University of Navarra, 31006 Pamplona, Spain. jmcorres@unavarra.es.
Institute of Smart Cities (ISC), Public University of Navarra, 31006 Pamplona, Spain.

Jesús Corres (J)

Electrical, Electronic and Communications Engineering Department, Public University of Navarra, 31006 Pamplona, Spain. jmcorres@unavarra.es.
Institute of Smart Cities (ISC), Public University of Navarra, 31006 Pamplona, Spain.

Jean-Luc Lachaud (JL)

Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F33400, Talence, France.

Yang Yang (Y)

Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F33400, Talence, France.

Hamida Hallil (H)

Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F33400, Talence, France.

Corinne Dejous (C)

Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F33400, Talence, France.

Ignacio R Matias (IR)

Electrical, Electronic and Communications Engineering Department, Public University of Navarra, 31006 Pamplona, Spain. jmcorres@unavarra.es.
Institute of Smart Cities (ISC), Public University of Navarra, 31006 Pamplona, Spain.

Classifications MeSH