Issue 23, 2014

NMR–DMF: a modular nuclear magnetic resonance–digital microfluidics system for biological assays

Abstract

We present a modular nuclear magnetic resonance–digital microfluidics (NMR–DMF) system as a portable diagnostic platform for miniaturized biological assays. With increasing number of combinations between designed probes and a specific target, NMR has become an accurate and rapid assay tool, which is capable of detecting particular kinds of proteins, DNAs, bacteria and cells with a customized probe quantitatively. Traditional sample operation (e.g., manipulation and mixing) relied heavily on human efforts. We herein propose a modular NMR–DMF system to allow the electronic automation of multi-step reaction-screening protocols. A figure-8 shaped coil is proposed to enlarge the usable inner space of a portable magnet by 4.16 times, generating a radio frequency (RF) excitation field in the planar direction. By electronically managing the electro-wetting-on-dielectric (EWOD) effects over an electrode array, preloaded droplets with the inclusion of biological constituents and targets can be programmed to mix and be guided to the detection site (3.5 × 3.5 mm2) for high-sensitivity NMR screening (static B field: 0.46 T, RF field: 1.43 mT per ampere), with the result (voltage signal) displayed in real-time. To show the system's utility, automated real-time identification of 100 pM of avidin in a 14 μL droplet was achieved. The system shows promise as a robust and portable diagnostic device for a wide variety of biological analyses and screening applications.

Graphical abstract: NMR–DMF: a modular nuclear magnetic resonance–digital microfluidics system for biological assays

Supplementary files

Article information

Article type
Paper
Submitted
16 Jul 2014
Accepted
27 Sep 2014
First published
15 Oct 2014
This article is Open Access
Creative Commons BY-NC license

Analyst, 2014,139, 6204-6213

Author version available

NMR–DMF: a modular nuclear magnetic resonance–digital microfluidics system for biological assays

K. Lei, P. Mak, M. Law and R. P. Martins, Analyst, 2014, 139, 6204 DOI: 10.1039/C4AN01285B

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