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An integrated digital microfluidic bioreactor for fully automatic screening of microalgal growth and stress-induced lipid accumulation.
Biotechnology and Bioengineering ( IF 3.8 ) Pub Date : 2020-09-18 , DOI: 10.1002/bit.27570
Yunhua Wang 1 , Hongyu Zhao 1 , Xianming Liu 2 , Wang Lin 1 , Youwei Jiang 3 , Jianfeng Li 4 , Qian Zhang 1 , Guoxia Zheng 1
Affiliation  

Algae are the promising feedstock of biofuel. The screening of competent species and proper fertilizer supply is of the most important tasks. To accelerate this rather slow and laborious step, we developed an integrated high‐throughput digital microfluidic (DMF) system that uses a discrete droplet to serve as a microbioreactor, encapsulating microalgal cells. On the basis of fundamental understanding of various droplet hydrodynamics induced by the existence of different sorts of ions and biological species, incorporation of capacitance‐based position estimator, electrode‐saving‐based compensation, and deterministic splitting approach, was performed to optimize the DMF bioreactor. Thus, it enables all processes (e.g., nutrient gradient generation, algae culturing, and analyzing of growth and lipid accumulation) occurring automatically on‐chip especially in a high‐fidelity way. The ability of the system to compare different microalgal strains on‐chip was investigated. Also, the Chlorella sp. were stressed by various conditions and then growth and oil accumulation were analyzed and compared, which demonstrated its potential as a powerful tool to investigate microalgal lipid accumulation at significantly lower laborites and reduced time.

中文翻译:

一种用于全自动筛选微藻生长和应激诱导的脂质积累的集成数字微流体生物反应器。

藻类是很有前途的生物燃料原料。筛选有能力的物种和适当的肥料供应是最重要的任务。为了加速这一相当缓慢而费力的步骤,我们开发了一种集成的高通量数字微流体 (DMF) 系统,该系统使用离散液滴作为微生物反应器,封装微藻细胞。在对由不同种类的离子和生物物种的存在引起的各种液滴流体动力学的基本理解的基础上,结合基于电容的位置估计器、基于电极节省的补偿和确定性分裂方法来优化 DMF 生物反应器. 因此,它支持所有过程(例如,营养梯度生成、藻类培养、和分析生长和脂质积累)在芯片上自动发生,特别是以高保真方式。研究了系统在芯片上比较不同微藻菌株的能力。此外,该小球藻藻。受到各种条件的胁迫,然后对生长和油积累进行了分析和比较,这证明了其作为研究微藻脂质积累的强大工具的潜力,并且显着降低了劳动强度和缩短了时间。
更新日期:2020-09-18
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