Literature DB >> 22968539

Automated generation of libraries of nL droplets.

Tomasz S Kaminski1, Slawomir Jakiela, Magdalena A Czekalska, Witold Postek, Piotr Garstecki.   

Abstract

We demonstrate an integrated system for rapid and automated generation of multiple, chemically distinct populations of ~10(3)-10(4) sub-nanoliter droplets. Generation of these 'libraries of droplets' proceeds in the following automated steps: i) generation of a sequence of micro-liter droplets of individually predetermined composition, ii) injection of these 'parental' droplets onto a chip, iii) transition from a mm- to a μm-scale of the channels and splitting each of the parental drops with a flow-focusing module into thousands of tightly monodisperse daughter drops and iv) separation of such formed homogeneous populations with plugs of a third immiscible fluid. This method is compatible both with aspiration of microliter portions of liquid from a 96-well plate with a robotic station and with automated microfluidic systems that generate (~μL) droplets of preprogrammed compositions. The system that we present bridges the techniques that provide elasticity of protocols executed on microliter droplets with the techniques for high-throughput screening of small (~pL, ~nL) droplet libraries. The method that we describe can be useful in exploiting the synergy between the ability to rapidly screen distinct chemical environments and to perform high-throughput studies of single cells or molecules and in digital droplet PCR systems.

Entities:  

Year:  2012        PMID: 22968539     DOI: 10.1039/c2lc40540g

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  10 in total

1.  DNA-library assembly programmed by on-demand nano-liter droplets from a custom microfluidic chip.

Authors:  Uwe Tangen; Gabriel Antonio S Minero; Abhishek Sharma; Patrick F Wagler; Rafael Cohen; Ofir Raz; Tzipy Marx; Tuval Ben-Yehezkel; John S McCaskill
Journal:  Biomicrofluidics       Date:  2015-07-08       Impact factor: 2.800

2.  Bacterial growth and adaptation in microdroplet chemostats.

Authors:  Slawomir Jakiela; Tomasz S Kaminski; Olgierd Cybulski; Douglas B Weibel; Piotr Garstecki
Journal:  Angew Chem Int Ed Engl       Date:  2013-07-05       Impact factor: 15.336

3.  Accelerating bacterial growth detection and antimicrobial susceptibility assessment in integrated picoliter droplet platform.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Liben Chen; Dong Jin Shin; Joseph C Liao; Tza-Huei Wang
Journal:  Biosens Bioelectron       Date:  2017-11-15       Impact factor: 10.618

4.  Droplet electrospray ionization mass spectrometry for high throughput screening for enzyme inhibitors.

Authors:  Shuwen Sun; Robert T Kennedy
Journal:  Anal Chem       Date:  2014-08-26       Impact factor: 6.986

5.  Suzuki-Miyaura cross-coupling optimization enabled by automated feedback.

Authors:  Brandon J Reizman; Yi-Ming Wang; Stephen L Buchwald; Klavs F Jensen
Journal:  React Chem Eng       Date:  2016-10-18       Impact factor: 4.239

6.  Customizing droplet contents and dynamic ranges via integrated programmable picodroplet assembler.

Authors:  Pengfei Zhang; Aniruddha Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Microsyst Nanoeng       Date:  2019-07-01       Impact factor: 7.127

7.  Facile and scalable tubing-free sample loading for droplet microfluidics.

Authors:  Fangchi Shao; Kuangwen Hsieh; Pengfei Zhang; Aniruddha M Kaushik; Tza-Huei Wang
Journal:  Sci Rep       Date:  2022-08-03       Impact factor: 4.996

8.  Individual Control and Quantification of 3D Spheroids in a High-Density Microfluidic Droplet Array.

Authors:  Raphaël F-X Tomasi; Sébastien Sart; Tiphaine Champetier; Charles N Baroud
Journal:  Cell Rep       Date:  2020-05-26       Impact factor: 9.423

9.  Microfluidic Chamber Design for Controlled Droplet Expansion and Coalescence.

Authors:  Mark Kielpinski; Oliver Walther; Jialan Cao; Thomas Henkel; J Michael Köhler; G Alexander Groß
Journal:  Micromachines (Basel)       Date:  2020-04-10       Impact factor: 2.891

10.  Droplet Microfluidics for High-Throughput Analysis of Antibiotic Susceptibility in Bacterial Cells and Populations.

Authors:  Witold Postek; Piotr Garstecki
Journal:  Acc Chem Res       Date:  2022-02-04       Impact factor: 22.384

  10 in total

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