Your browser doesn't support javascript.
loading
Interdigitated Sensor Optimization for Blood Sample Analysis.
Claudel, Julien; Ngo, Thanh-Tuan; Kourtiche, Djilali; Nadi, Mustapha.
Afiliação
  • Claudel J; Institut Jean Lamour, Lorraine University (CNRS-UMR 7198), 54011 Nancy, France.
  • Ngo TT; Institut Jean Lamour, Lorraine University (CNRS-UMR 7198), 54011 Nancy, France.
  • Kourtiche D; Institut Jean Lamour, Lorraine University (CNRS-UMR 7198), 54011 Nancy, France.
  • Nadi M; Institut Jean Lamour, Lorraine University (CNRS-UMR 7198), 54011 Nancy, France.
Biosensors (Basel) ; 10(12)2020 Dec 16.
Article em En | MEDLINE | ID: mdl-33339437
ABSTRACT
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Química do Sangue / Técnicas Biossensoriais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Química do Sangue / Técnicas Biossensoriais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França