relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3735/
title: Development of a Passive Capacitively Coupled Contactless Conductivity Detection (PC4D) Sensor System for Fluidic Channel Analysis Toward Point-of-Care Applications
creator: Do, Loc Quang
creator: Bui, Thanh Tung
creator: Hoang, Bao Anh
creator: Van, Thanh Pham
creator: Jen, Chun-Ping
creator: Chu, Duc Trinh
subject: ISI-indexed journals
description: A sensor system based on a modified capacitively coupled contactless conductivity detection sensor is proposed and developed. The proposed system provides a passive and wireless readout technique, through which the conductivity of fluidic flow can be analyzed and foreign objects occurring in the fluidic flow can be detected. The proposed sensor system takes advantage of the series resonance principle and detects shifts in the resonance frequency and reflection coefficient to estimate the conductivity of the fluidic flow. In this study, the working principle of the device is proposed and analyzed using a multiphysics simulation, and its performance is validated experimentally. The sensing performance is confirmed by measuring the conductivity of the fluidic media and the detection of foreign objects, such as air bubbles or water droplets, occurring in the flow. The influence of the distance between the inductors on the resonance frequency for different solution conductivities is also investigated and reported. The proposed sensor system shows its potential for use in various applications in biomedicine and chemistry, particularly in point-of-care applications, where the sensing chip can be easily set up for measurement and disposed of after use.
publisher: IEEE
date: 2019
type: Article
type: PeerReviewed
identifier:   Do, Loc Quang and Bui, Thanh Tung and Hoang, Bao Anh and Van, Thanh Pham and Jen, Chun-Ping and Chu, Duc Trinh  (2019) Development of a Passive Capacitively Coupled Contactless Conductivity Detection (PC4D) Sensor System for Fluidic Channel Analysis Toward Point-of-Care Applications.  IEEE Sensors Journal, 19  (15).   pp. 6371-6380.  ISSN 1530-437X     
relation: http://dx.doi.org/10.1109/JSEN.2019.2908179
relation: 10.1109/JSEN.2019.2908179