A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities

A novel multiparametric biosensor system based on living cells will be presented. The biosensor system includes two biosensing techniques on a single device: resonant frequency measurements and electric cell-substrate impedance sensing (ECIS). The multiparametric sensor system is based on the inn...

Full description

Bibliographic Details
Main Authors: Fei, Liu, Fang, Li, Nordin, Anis Nurashikin, Voiculescu, Ioana
Format: Article
Language:English
Published: International Frequency Sensor Association (IFSA). 2013
Subjects:
Online Access:http://irep.iium.edu.my/36870/
http://irep.iium.edu.my/36870/
http://irep.iium.edu.my/36870/
http://irep.iium.edu.my/36870/1/document.pdf
id iium-36870
recordtype eprints
spelling iium-368702014-06-09T07:25:20Z http://irep.iium.edu.my/36870/ A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities Fei, Liu Fang, Li Nordin, Anis Nurashikin Voiculescu, Ioana TK Electrical engineering. Electronics Nuclear engineering A novel multiparametric biosensor system based on living cells will be presented. The biosensor system includes two biosensing techniques on a single device: resonant frequency measurements and electric cell-substrate impedance sensing (ECIS). The multiparametric sensor system is based on the innovative use of the upper electrode of a quartz crystal microbalance (QCM) resonator as working electrode for the ECIS technique. The QCM acoustic wave sensor consists of a thin AT-cut quartz substrate with two gold electrodes on opposite sides. For integration of the QCM with the ECIS technique a semicircular counter electrode was fabricated near the upper electrode on the same side of the quartz crystal. Bovine aortic endothelial live cells (BAECs) were successfully cultured on this hybrid biosensor. Finite element modeling of the bulk acoustic wave resonator using COMSOL simulations was performed. Simultaneous gravimetric and impedimetric measurements performed over a period of time on the same cell culture were conducted to validate the device’s sensitivity. The time necessary for the BAEC cells to attach and form a compact monolayer on the biosensor was 35~45 minutes for 1.5 × 104 cells/cm2 BAECs; 60 minutes for 2.0 × 104 cells/cm2 BAECs; 70 minutes for 3.0 × 104 cells/cm2 BAECs; and 100 minutes for 5.0 × 104 cells/cm2 BAECs. It was demonstrated that this time is the same for both gravimetric and impedimetric measurements. This hybrid biosensor will be employed in the future for water toxicity detection. International Frequency Sensor Association (IFSA). 2013-03-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36870/1/document.pdf Fei, Liu and Fang, Li and Nordin, Anis Nurashikin and Voiculescu, Ioana (2013) A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities. Sensors & Transducers Journal, 13. pp. 3039-3055. ISSN 1726-5479 http://www.mdpi.com/1424-8220/13/3/3039 10.3390/s130303039
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Fei, Liu
Fang, Li
Nordin, Anis Nurashikin
Voiculescu, Ioana
A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
description A novel multiparametric biosensor system based on living cells will be presented. The biosensor system includes two biosensing techniques on a single device: resonant frequency measurements and electric cell-substrate impedance sensing (ECIS). The multiparametric sensor system is based on the innovative use of the upper electrode of a quartz crystal microbalance (QCM) resonator as working electrode for the ECIS technique. The QCM acoustic wave sensor consists of a thin AT-cut quartz substrate with two gold electrodes on opposite sides. For integration of the QCM with the ECIS technique a semicircular counter electrode was fabricated near the upper electrode on the same side of the quartz crystal. Bovine aortic endothelial live cells (BAECs) were successfully cultured on this hybrid biosensor. Finite element modeling of the bulk acoustic wave resonator using COMSOL simulations was performed. Simultaneous gravimetric and impedimetric measurements performed over a period of time on the same cell culture were conducted to validate the device’s sensitivity. The time necessary for the BAEC cells to attach and form a compact monolayer on the biosensor was 35~45 minutes for 1.5 × 104 cells/cm2 BAECs; 60 minutes for 2.0 × 104 cells/cm2 BAECs; 70 minutes for 3.0 × 104 cells/cm2 BAECs; and 100 minutes for 5.0 × 104 cells/cm2 BAECs. It was demonstrated that this time is the same for both gravimetric and impedimetric measurements. This hybrid biosensor will be employed in the future for water toxicity detection.
format Article
author Fei, Liu
Fang, Li
Nordin, Anis Nurashikin
Voiculescu, Ioana
author_facet Fei, Liu
Fang, Li
Nordin, Anis Nurashikin
Voiculescu, Ioana
author_sort Fei, Liu
title A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
title_short A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
title_full A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
title_fullStr A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
title_full_unstemmed A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
title_sort novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities
publisher International Frequency Sensor Association (IFSA).
publishDate 2013
url http://irep.iium.edu.my/36870/
http://irep.iium.edu.my/36870/
http://irep.iium.edu.my/36870/
http://irep.iium.edu.my/36870/1/document.pdf
first_indexed 2023-09-18T20:52:52Z
last_indexed 2023-09-18T20:52:52Z
_version_ 1777410111457722368