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      Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers

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          Abstract

          <p class="first" id="P1">Biomarkers are nucleic acids, proteins, single-cells, or small molecules in human tissues or biological fluids whose reliable detection can be used to confirm or predict disease and disease states. Sensitive detection of biomarkers is therefore critical in a variety of applications including disease diagnostics, therapeutics, and drug screening. Unfortunately for many diseases, low abundance of biomarkers in human samples and low sample volumes render standard benchtop platforms like 96-well plates ineffective for reliable detection and screening. Discretization of bulk samples into a large number of small volumes (fL-nL) via droplet microfluidic technology offers a promising solution for high-sensitivity and high-throughput detection and screening of biomarkers. Several microfluidic strategies exist for high-throughput biomarker digitization into droplets, and these strategies have been utilized by numerous droplet platforms for nucleic-acid, protein, and single-cell detection and screening. While the potential of droplet based platforms has led to burgeoning interest in droplets, seamless integration of sample preparation technologies and automation of platforms from biological sample to answer remain critical components that can render these platforms useful in the clinical setting in the near future. </p><p id="P2">High-sensitivity and high-throughput microfluidic droplet platforms promise rapid and quantitative detection and screening of disease biomarkers from clinical samples </p><p id="P3"> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/875c36b5-3c42-42bf-881e-562b18874de4/PubMedCentral/image/nihms954952u1.jpg"/> </div> </p>

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          Most cited references157

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          Formation of dispersions using “flow focusing” in microchannels

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            Dynamic pattern formation in a vesicle-generating microfluidic device.

            Spatiotemporal pattern formation occurs in a variety of nonequilibrium physical and chemical systems. Here we show that a microfluidic device designed to produce reverse micelles can generate complex, ordered patterns as it is continuously operated far from thermodynamic equilibrium. Flow in a microfluidic system is usually simple-viscous effects dominate and the low Reynolds number leads to laminar flow. Self-assembly of the vesicles into patterns depends on channel geometry and relative fluid pressures, enabling the production of motifs ranging from monodisperse droplets to helices and ribbons.
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              Formation of droplets and bubbles in a microfluidic T-junction-scaling and mechanism of break-up.

              This article describes the process of formation of droplets and bubbles in microfluidic T-junction geometries. At low capillary numbers break-up is not dominated by shear stresses: experimental results support the assertion that the dominant contribution to the dynamics of break-up arises from the pressure drop across the emerging droplet or bubble. This pressure drop results from the high resistance to flow of the continuous (carrier) fluid in the thin films that separate the droplet from the walls of the microchannel when the droplet fills almost the entire cross-section of the channel. A simple scaling relation, based on this assertion, predicts the size of droplets and bubbles produced in the T-junctions over a range of rates of flow of the two immiscible phases, the viscosity of the continuous phase, the interfacial tension, and the geometrical dimensions of the device.
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                Author and article information

                Journal
                Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology
                WIREs Nanomed Nanobiotechnol
                Wiley
                19395116
                November 2018
                November 2018
                May 24 2018
                : 10
                : 6
                : e1522
                Affiliations
                [1 ]Department of Mechanical Engineering; Johns Hopkins University; Baltimore Maryland
                [2 ]Department of Biomedical Engineering; Johns Hopkins University; Baltimore Maryland
                Article
                10.1002/wnan.1522
                6185786
                29797414
                8eb6db29-f316-413d-9340-4c58f501b0aa
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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