Application Mapping and Control-system Design for Microfluidic Biochips with Distributed Channel Storage

Author:

Chen Zhisheng1ORCID,Guo Wenzhong1ORCID,Liu Genggeng1ORCID,Huang Xing2ORCID

Affiliation:

1. Fuzhou University, Fuzhou, China

2. Northwestern Polytechnical University, Xi’an, China

Abstract

Continuous-flow microfluidic biochips have emerged as a potential low-cost and fast-responsive lab-on-chip platform. They have attracted much attention due to their capability of performing various biochemical applications concurrently and automatically within a coin-sized chip area. To improve execution efficiency and reduce fabrication cost, a distributed channel-storage architecture can be implemented in which the same channels can be switched between the roles of transportation and storage. Accordingly, fluid transportation, caching, and fetch can be performed simultaneously through different flow paths. Such a flow-path planning needs to be considered carefully in the mapping procedure from a biochemical application to a given biochip architecture. Moreover, all the on-chip valves should be actuated correctly and promptly to temporally block the fluid transportation in unwanted directions and seal the fluids in caching channels. Such an exact control of the valves needs to be considered systematically in control-system design to support the mapping scheme for bioassay execution. In this article, we formulate the practical mapping-control co-design problem for microfluidic biochips with distributed channel storage, considering application mapping, valve synchronization, and control-system design simultaneously, and present an efficient synthesis flow to solve this problem systematically. Given the protocol of a biochemical application and the corresponding chip layout in the flow layer, our goal is to map the biochemical application onto the chip with short execution time. Meanwhile, a practical control system considering the real valve-switching requirements can be constructed efficiently with low fabrication cost. Experimental results on multiple real-life bioassays and synthetic benchmarks demonstrate the effectiveness of the proposed design flow.

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3