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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
薛春东

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:中国科学院大学
Degree:Doctoral Degree
School/Department:医学部
Discipline:Biomedical Engineering. Fluid Mechanics. Measuring Technology and Instrument
Business Address:厚坤楼A201
Contact Information:xuechundong@dlut.edu.cn
E-Mail:xuechundong@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

A microfluidic platform enabling real-time control of dynamic biochemical stimuli to biological cells

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Indexed by:Journal Papers

Date of Publication:2020-09-01

Journal:JOURNAL OF MICROMECHANICS AND MICROENGINEERING

Included Journals:SCIE

Volume:30

Issue:9

ISSN No.:0960-1317

Key Words:microfluidic platform; dynamic biochemical stimuli; real-time control; biological cell; cellular dynamic response

Abstract:In the present study, we report a microfluidic platform that enables real-time control of biochemical stimuli to biological cells. The microfluidic platform is designed by integrating a 'Christmas tree' inlet for pre-generating spatially linear concentration gradient, with a Y-shaped channel to modulate dynamic signals with an external programmable air pump. The proposed design is simple and straightforward, has negligible response time compared to the traditional Y-shaped channel, and for the first time, provides the capability of generating versatile waveforms of dynamic stimuli and implementing multiple dynamic stimulating signals with different amplitudes synchronously. The feasibility of the microfluidic platform is proved by both computational fluid dynamics simulation and fluorescein experiment. The applicability of the proposed platform is demonstrated by characterizing the intracellular calcium ion dynamics in human umbilical vein endothelial cells in response to multiple dynamic stimuli within a single run. The proposed platform provides a simple approach to rapidly control dynamic stimuli with versatile waveforms to biological cells and shows the potential for the quantitative study of biological cellular dynamic responses.