relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4139/
title: Biological living cell in-flow detection based on microfluidic chip and compact signal processing circuit
creator: Do, Loc Quang
creator: Bui, Thanh Tung
creator: Hoang, Bao Anh
creator: Nguyen, Nhu Cuong
creator: Tran, Thi Thuy Ha
creator: Jen, Chun-Ping
creator: Chu, Duc Trinh
subject: Electronics and Computer Engineering
subject: ISI/Scopus indexed conference
description: Detection and enumeration of biological living cells in continuous fluidic flows play an essential role in many applications for early diagnosis and treatment of diseases. In this regard, this study highlighted the proposal of a biochip system for detecting and enumerating human lung carcinoma cell flow in the microfluidic channel. The principle of detection was based on the change of impedance between sensing electrodes integrated in the fluidic channel, due to the presence of a biological cell in the sensing region. A compact electronic module was built to sense the unbalanced impedance between the sensing microelectrodes. It consisted of an instrumentation amplifier stage to obtain the difference between the acquired signals, and a lock-in amplifier stage to demodulate the signals at the stimulating frequency as well as to reject noise at other frequencies. The performance of the proposed system was validated through experiments of A549 cells detection as they passed over the microfluidic channel. The experimental results indicated the occurrence of large spikes (up to approximately 180 mV) over the background signal according to the passage of a single A549 cell in the continuous flow. The proposed device is simple-to-operate, inexpensive, portable, and exhibits high sensitivity, which are suitable considerations for developing point-of-care applications.
date: 2020-10
type: Article
type: PeerReviewed
identifier:   Do, Loc Quang and Bui, Thanh Tung and Hoang, Bao Anh and Nguyen, Nhu Cuong and Tran, Thi Thuy Ha and Jen, Chun-Ping and Chu, Duc Trinh  (2020) Biological living cell in-flow detection based on microfluidic chip and compact signal processing circuit.  IEEE Transactions on Biomedical Circuits and Systems .   p. 1.  ISSN 1932-4545     
relation: http://dx.doi.org/10.1109/TBCAS.2020.3030017
relation: 10.1109/TBCAS.2020.3030017