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      Point-of-need determination of blood typing using a three-dimensional origami microfluidic paper based analytical device

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      Microchemical Journal
      Elsevier BV

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          Three-dimensional paper microfluidic devices assembled using the principles of origami.

          We report a method, based on the principles of origami (paper folding), for fabricating three-dimensional (3-D) paper microfluidic devices. The entire 3-D device is fabricated on a single sheet of flat paper in a single photolithographic step. It is assembled by simply folding the paper by hand. Following analysis, the device can be unfolded to reveal each layer. The applicability of the device to chemical analysis is demonstrated by colorimetric and fluorescence assays using multilayer microfluidic networks.
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            Patterned Paper as a Platform for Inexpensive, Low-Volume, Portable Bioassays

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              Commercialization of microfluidic point-of-care diagnostic devices.

              A large part of the excitement behind microfluidics is in its potential for producing practical devices, but surprisingly few lab-on-a-chip based technologies have been successfully introduced into the market. Here, we review current work in commercializing microfluidic technologies, with a focus on point-of-care diagnostics applications. We will also identify challenges to commercialization, including lessons drawn from our experience in Claros Diagnostics. Moving forward, we discuss the need to strike a balance between achieving real-world impact with integrated devices versus design of novel single microfluidic components.
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                Author and article information

                Journal
                Microchemical Journal
                Microchemical Journal
                Elsevier BV
                0026265X
                October 2022
                October 2022
                : 181
                : 107796
                Article
                10.1016/j.microc.2022.107796
                8e208411-38c0-4258-a45f-98441c798eae
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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