Literature DB >> 20063880

Three-dimensional chemical profile manipulation using two-dimensional autonomous microfluidic control.

Yongtae Kim1, Kerem Pekkan, William C Messner, Philip R Leduc.   

Abstract

The ability to specify or control spatiotemporal chemical environments is critical for controlling diverse processes from chemical synthesis to cellular responses. When established by microfluidics methods, this chemical control has largely been limited to two dimensions and by the need for using complex approaches. The ability to create three-dimensional (3D) chemical patterns is becoming more critical as microfluidics is beginning to have novel applications at larger millifluidic scales, including model organism behavior, embryonic development, and optofluidics. Here, we present a simple approach to create 3D chemical patterns that can be controlled in space and time via two-dimensional (2D), single-layer fluidic modules. Not only can we employ autonomous flow in a 2D fluidic configuration to produce a 3D pattern, but with very simple changes in the 2D configuration, the chemical pattern can be "focused and defocused" within the 3D cross section. We also show that these chemical patterns can be predicted by computational fluid dynamics simulations with high experimental correlation. These simulations allow analyses of the characteristics of interface behaviors with respect to three basic yet critical parameters that need to be thoroughly considered in scaling-up from microfluidic to millifluidic research: Reynolds number (Re), inlet geometry, and channel height. The findings not only indicate proof of concept for 3D pattern creation but also reveal that a number of fluidic experiments may have inherent limitations resulting from unrecognized 3D profiles that depend on these parameter choices. These results will be useful for research areas including embryonic development, cellular stimulation, and chemical fabrication approaches.

Mesh:

Year:  2010        PMID: 20063880     DOI: 10.1021/ja9079572

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  6 in total

1.  Detecting the functional complexities between high-density lipoprotein mimetics.

Authors:  Yoshitaka J Sei; Jungho Ahn; Taeyoung Kim; Eunjung Shin; Angel J Santiago-Lopez; Seung Soon Jang; Noo Li Jeon; Young C Jang; YongTae Kim
Journal:  Biomaterials       Date:  2018-04-06       Impact factor: 12.479

2.  3D bio-etching of a complex composite-like embryonic tissue.

Authors:  Melis Hazar; Yong Tae Kim; Jiho Song; Philip R LeDuc; Lance A Davidson; William C Messner
Journal:  Lab Chip       Date:  2015-08-21       Impact factor: 6.799

3.  Mass production and size control of lipid-polymer hybrid nanoparticles through controlled microvortices.

Authors:  Yongtae Kim; Bomy Lee Chung; Mingming Ma; Willem J M Mulder; Zahi A Fayad; Omid C Farokhzad; Robert Langer
Journal:  Nano Lett       Date:  2012-06-20       Impact factor: 11.189

4.  Nanomedicines for Endothelial Disorders.

Authors:  Bomy Lee Chung; Michael J Toth; Nazila Kamaly; Yoshitaka J Sei; Jacob Becraft; Willem J M Mulder; Zahi A Fayad; Omid C Farokhzad; YongTae Kim; Robert Langer
Journal:  Nano Today       Date:  2015-12-01       Impact factor: 20.722

5.  Detection of dynamic spatiotemporal response to periodic chemical stimulation in a Xenopus embryonic tissue.

Authors:  Yongtae Kim; Sagar D Joshi; William C Messner; Philip R LeDuc; Lance A Davidson
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

6.  Detection of frequency-dependent endothelial response to oscillatory shear stress using a microfluidic transcellular monitor.

Authors:  Yoshitaka J Sei; Song Ih Ahn; Theodore Virtue; Taeyoung Kim; YongTae Kim
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

  6 in total

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