Literature DB >> 27871055

Microfluidic device for label-free quantitation and distinction of bladder cancer cells from the blood cells using micro machined silicon based electrical approach; suitable in urinalysis assays.

Seied Ali Hosseini1, Somayeh Zanganeh1, Elaheh Akbarnejad1, Fatemeh Salehi1, Mohammad Abdolahad2.   

Abstract

This paper introduces an integrated microfluidic chip as a promising tool to measure the concentration of bladder cancer cells (BCC) in urine samples. Silicon microchannels were used as trapping gates for both floated BCC and leukocytes which are found in the urine of patients. By the assistance of the gold electrodes patterned at the bottom of the micro gates, the capacitance of captured cancerous and blood cells were measured. Different membrane capacitance between BCC and leukocyte was the indicative signal for diagnosing the nature of captured cells in a urine like solution. The concentration range of the target that could be detected was about 10 BCCs per one chip. Such response has been achieved without applying any biochemical or florescent markers. Thus, it could be a simple and cheap approach to support cytological and immune-fluorescent assays. The limit of detection was approximately 1 cancerous cell/11 leukocytes in 1ml of the urine like solution. The entire measurement time was less than an hour. Consequently, this electrical microfluidic device promises significant potential in urinalysis.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Impedance detection; Microfluidic; Silicon micromachining; Urinalysis

Mesh:

Substances:

Year:  2016        PMID: 27871055     DOI: 10.1016/j.jpba.2016.11.026

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

Review 1.  Progress in Automated Urinalysis.

Authors:  Matthijs Oyaert; Joris Delanghe
Journal:  Ann Lab Med       Date:  2019-01       Impact factor: 3.464

2.  Development of SPR Imaging-Impedance Sensor for Multi-Parametric Living Cell Analysis.

Authors:  Yuhki Yanase; Kyohei Yoshizaki; Kaiken Kimura; Tomoko Kawaguchi; Michihiro Hide; Shigeyasu Uno
Journal:  Sensors (Basel)       Date:  2019-05-03       Impact factor: 3.576

  2 in total

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