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Interdigitated Sensor Optimization for Blood Sample Analysis

Interdigitated (ITD) sensors are specially adapted for the bioimpedance analysis (BIA) of low-volume (microliter scale) biological samples. Impedance spectroscopy is a fast method involving simple and easy biological sample preparation. The geometry of an ITD sensor makes it easier to deposit a samp...

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Detalles Bibliográficos
Autores principales: Claudel, Julien, Ngo, Thanh-Tuan, Kourtiche, Djilali, Nadi, Mustapha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767057/
https://www.ncbi.nlm.nih.gov/pubmed/33339437
http://dx.doi.org/10.3390/bios10120208
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author Claudel, Julien
Ngo, Thanh-Tuan
Kourtiche, Djilali
Nadi, Mustapha
author_facet Claudel, Julien
Ngo, Thanh-Tuan
Kourtiche, Djilali
Nadi, Mustapha
author_sort Claudel, Julien
collection PubMed
description Interdigitated (ITD) sensors are specially adapted for the bioimpedance analysis (BIA) of low-volume (microliter scale) biological samples. Impedance spectroscopy is a fast method involving simple and easy biological sample preparation. The geometry of an ITD sensor makes it easier to deposit a sample at the microscopic scale of the electrodes. At this scale, the electrode size induces an increase in the double-layer effect, which may completely limit interesting bandwidths in the impedance measurements. This work focuses on ITD sensor frequency band optimization via an original study of the impact of the metalization ratio α. An electrical sensor model was studied to determine the best α ratio. A ratio of 0.6 was able to improve the low-frequency cutoff by a factor of up to 2.5. This theoretical approach was confirmed by measurements of blood samples with three sensors. The optimized sensor was able to extract the intrinsic electrical properties of blood in the frequency band of interest.
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spelling pubmed-77670572020-12-28 Interdigitated Sensor Optimization for Blood Sample Analysis Claudel, Julien Ngo, Thanh-Tuan Kourtiche, Djilali Nadi, Mustapha Biosensors (Basel) Article Interdigitated (ITD) sensors are specially adapted for the bioimpedance analysis (BIA) of low-volume (microliter scale) biological samples. Impedance spectroscopy is a fast method involving simple and easy biological sample preparation. The geometry of an ITD sensor makes it easier to deposit a sample at the microscopic scale of the electrodes. At this scale, the electrode size induces an increase in the double-layer effect, which may completely limit interesting bandwidths in the impedance measurements. This work focuses on ITD sensor frequency band optimization via an original study of the impact of the metalization ratio α. An electrical sensor model was studied to determine the best α ratio. A ratio of 0.6 was able to improve the low-frequency cutoff by a factor of up to 2.5. This theoretical approach was confirmed by measurements of blood samples with three sensors. The optimized sensor was able to extract the intrinsic electrical properties of blood in the frequency band of interest. MDPI 2020-12-16 /pmc/articles/PMC7767057/ /pubmed/33339437 http://dx.doi.org/10.3390/bios10120208 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Claudel, Julien
Ngo, Thanh-Tuan
Kourtiche, Djilali
Nadi, Mustapha
Interdigitated Sensor Optimization for Blood Sample Analysis
title Interdigitated Sensor Optimization for Blood Sample Analysis
title_full Interdigitated Sensor Optimization for Blood Sample Analysis
title_fullStr Interdigitated Sensor Optimization for Blood Sample Analysis
title_full_unstemmed Interdigitated Sensor Optimization for Blood Sample Analysis
title_short Interdigitated Sensor Optimization for Blood Sample Analysis
title_sort interdigitated sensor optimization for blood sample analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767057/
https://www.ncbi.nlm.nih.gov/pubmed/33339437
http://dx.doi.org/10.3390/bios10120208
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