Literature DB >> 25822401

Hands-off preparation of monodisperse emulsion droplets using a poly(dimethylsiloxane) microfluidic chip for droplet digital PCR.

Hironari Tanaka1, Shunsuke Yamamoto1, Arichika Nakamura1, Yuta Nakashoji1, Naoaki Okura1, Norimitsu Nakamoto1, Kazuhiko Tsukagoshi1, Masahiko Hashimoto1.   

Abstract

A fully autonomous method of creating highly monodispersed emulsion droplets with a low sample dead volume was realized using a degassed poly(dimethylsiloxane) (PDMS) microfluidic chip possessing a simple T-junction channel geometry with two inlet reservoirs for oil and water to be loaded and one outlet reservoir for the collection of generated droplets. Autonomous transport of oil and water phases in the channel was executed by permeation of air confined inside the outlet reservoir into the degassed PDMS. The only operation required for droplet creation was simple pipetting of oil and aqueous solutions into the inlet reservoirs. Long-lasting fluid transport in the current system enabled us to create ca. 51,000 monodispersed droplets (with a coefficient of variation of <3% for the droplet diameter) in 80 min with a maximum droplet generation rate of ca. 12 Hz using a PDMS chip that had been degassed overnight. With multiple time-course measurements, the reproducibility in the current method of droplet preparation was confirmed, with tunable droplet sizes achieved simply by changing the cross-sectional dimensions of the microchannel. Furthermore, it was verified that the resultant droplets could serve as microreactors for digital polymerase chain reactions. This hands-free technique for preparing monodispersed droplets in a very facile and inexpensive fashion is intended for, but not limited to, bioanalytical applications and is also applicable to material syntheses.

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Year:  2015        PMID: 25822401     DOI: 10.1021/ac503169h

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  Snap-off production of monodisperse droplets.

Authors:  Solomon Barkley; Eric R Weeks; Kari Dalnoki-Veress
Journal:  Eur Phys J E Soft Matter       Date:  2015-12-28       Impact factor: 1.890

2.  Massively parallel and multiparameter titration of biochemical assays with droplet microfluidics.

Authors:  Alexandre Baccouche; Shu Okumura; Rémi Sieskind; Elia Henry; Nathanaël Aubert-Kato; Nicolas Bredeche; Jean-François Bartolo; Valérie Taly; Yannick Rondelez; Teruo Fujii; Anthony J Genot
Journal:  Nat Protoc       Date:  2017-08-24       Impact factor: 13.491

3.  Miniaturized Continuous-Flow Digital PCR for Clinical-Level Serum Sample Based on the 3D Microfluidics and CMOS Imaging Device.

Authors:  Bin Li; Yuanming Li; Andreas Manz; Wenming Wu
Journal:  Sensors (Basel)       Date:  2020-04-28       Impact factor: 3.576

4.  Deep-dLAMP: Deep Learning-Enabled Polydisperse Emulsion-Based Digital Loop-Mediated Isothermal Amplification.

Authors:  Linzhe Chen; Jingyi Ding; Hao Yuan; Chi Chen; Zida Li
Journal:  Adv Sci (Weinh)       Date:  2022-01-24       Impact factor: 16.806

5.  Micro-injection Molded Droplet Generation System for Digital PCR Application.

Authors:  Daae Jo; So Young Kim; Hyeon Woo Kang; Sung Han Pyo; Nam Kyu Jeong; Nam Ho Bae; Seok Jae Lee; Yong Tae Kim; Kyoung G Lee
Journal:  Biochip J       Date:  2022-09-06       Impact factor: 4.229

  5 in total

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