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Research Article | Open Access

A Giant Magnetoimpedance-Based Microfluidic System for Multiplex Immunological Assay

Shan Gao1, Lin Kang1, Min Deng2, Bin Ji1, Jing Liu1, Wenwen Xin1, Jingjing Kang1, Ping Li1, Jie Gao1, Jinglin Wang1( ), Hao Yang1( )
State Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, No. 21 Dongda Street, Beijing 100071, China
Department of Nano Biomedicine and Engineering, Key Laboratory for Thin Film and Microfabrication of Ministry of Education, Institute of Micro/Nano Science and Technology,Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, China

†Shan Gao, Lin Kang and Min Deng contributed equally to this work.

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Abstract

Microfluidic chip and giant magnetoimpedance (GMI)-related technology has developed quickly over the past decades in the field of biological detection. In this work, we designed and fabricated a GMI-based microfluidic system for screening of multiplex gastric cancer biomarkers. The microfluidic chip and GMI sensor were prepared by micro-electromechanical systems (MEMS) technology. This system can analyse 8 gastric cancer protein biomarkers simultaneously in less than 25 mins and offer more stable detection signal than conventional enzymological or fluorescent methods. The microfluidic chip was then tested in 150 clinical specimens and compared with enzyme-linked immunosorbent assay (ELISA) method. The results indicated no significant difference and excellent agreement. In short, the prototype of GMI-based microfluidic system has been developed successfully and showed promising potentials for parallel screening of cancer biomarkers.

Keywords

Microfluidic chipMEMSGMIImmunological assay

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Nano Biomedicine and Engineering
Volume 8 Issue 4,
December 2016
Pages 240-245
DOI: 10.5101/nbe.v8i4.p240-245
Cite this article:
Gao S, Kang L, Deng M, et al. A Giant Magnetoimpedance-Based Microfluidic System for Multiplex Immunological Assay. Nano Biomedicine and Engineering, 2016, 8(4): 240-245. https://doi.org/10.5101/nbe.v8i4.p240-245

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Received: 16 October 2016
Accepted: 10 November 2016
Published: 23 November 2016
© 2016 Shan Gao, Lin Kang, Min Deng, Bin Ji, Jing Liu, Wenwen Xin, Jingjing Kang, Ping Li, Jie Gao, Jinglin Wang, and Hao Yang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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