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Micromachines 2017, 8(9), 266;

Towards Multiplex Molecular Diagnosis—A Review of Microfluidic Genomics Technologies

Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia
Authors to whom correspondence should be addressed.
Received: 15 May 2017 / Revised: 30 June 2017 / Accepted: 16 July 2017 / Published: 30 August 2017
(This article belongs to the Special Issue Biomedical Microfluidic Devices)
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Highly sensitive and specific pathogen diagnosis is essential for correct and timely treatment of infectious diseases, especially virulent strains, in people. Point-of-care pathogen diagnosis can be a tremendous help in managing disease outbreaks as well as in routine healthcare settings. Infectious pathogens can be identified with high specificity using molecular methods. A plethora of microfluidic innovations in recent years have now made it increasingly feasible to develop portable, robust, accurate, and sensitive genomic diagnostic devices for deployment at the point of care. However, improving processing time, multiplexed detection, sensitivity and limit of detection, specificity, and ease of deployment in resource-limited settings are ongoing challenges. This review outlines recent techniques in microfluidic genomic diagnosis and devices with a focus on integrating them into a lab on a chip that will lead towards the development of multiplexed point-of-care devices of high sensitivity and specificity. View Full-Text
Keywords: genomic diagnosis; microfluidics; multiplexed; point-of-care; lab on chip genomic diagnosis; microfluidics; multiplexed; point-of-care; lab on chip

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Basha, I.H.K.; Ho, E.T.W.; Yousuff, C.M.; Hamid, N.H.B. Towards Multiplex Molecular Diagnosis—A Review of Microfluidic Genomics Technologies. Micromachines 2017, 8, 266.

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