UM
An intelligent digital microfluidic system with fuzzy-enhanced feedback for multi-droplet manipulation
Jie Gao1; Xianming Liu2; Tianlan Chen1; Pui-In Mak1; Yuguang Du2; Mang-I Vai1; Bingcheng Lin2; Rui P. Martins1,3
2013
Source PublicationLab on a Chip
ISSN1473-0197
Volume13Issue:3Pages:443-451
Abstract

The complexity of droplet hydrodynamics on a digital microfluidic (DMF) system eventually weakens its potential for application in large-scale chemical/biological micro-reactors. We describe here an intelligent DMF technology to address that intricacy. A wide variety of control-engaged droplet manageability is proposed and demonstrated through the operation of our modular DMF prototype, which comprises: (i) rigid profiling ability of different droplet's hydrodynamics under a real-time trajectory track of droplet-derived capacitance, permitting accurate and autonomous multi-droplet positioning without visual setup and heavy image signal processing; (ii) fuzzy-enhanced controllability saving up to 21% charging time when compared with the classical approach, enhancing the throughput, fidelity and lifetime of the DMF chip, while identifying and renouncing those weakened electrodes deteriorated over time, and (iii) expert manipulability of multi-droplet routings under countermeasure decisions in real time, preventing droplet-to-droplet or task-to-task interference. Altogether, this work exhibits the first modular DMF system with built-in electronic-control software-defined intelligence to enhance the fidelity and reliability of each droplet operation, allowing future manufacturability of a wide range of life science analyses and combinatorial chemical screening applications. © The Royal Society of Chemistry 2013.

DOIhttp://doi.org/10.1039/c2lc41156c
URLView the original
Indexed BySCI
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Chemistry ; Science & Technology - Other Topics
WOS SubjectBiochemical Research Methods ; Chemistry, Multidisciplinary ; Chemistry, Analytical ; Nanoscience & Nanotechnology
WOS IDWOS:000312947300016
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:38   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Co-First AuthorJie Gao
Corresponding AuthorBingcheng Lin
Affiliation1.State-Key Laboratory of Analog and Mixed-Signal VLSI and FST-ECE, University of Macau, Avenida Padre Toma´s Pereira, Taipa, Macao, China
2.The Research Centre of Lab on a Chip, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 457 Zhongshan Road, Dalian, China.
3.On leave from Instituto Superior Te´cnico, Technical University of Lisbon, Portugal
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Jie Gao,Xianming Liu,Tianlan Chen,et al. An intelligent digital microfluidic system with fuzzy-enhanced feedback for multi-droplet manipulation[J]. Lab on a Chip,2013,13(3):443-451.
APA Jie Gao.,Xianming Liu.,Tianlan Chen.,Pui-In Mak.,Yuguang Du.,...&Rui P. Martins.(2013).An intelligent digital microfluidic system with fuzzy-enhanced feedback for multi-droplet manipulation.Lab on a Chip,13(3),443-451.
MLA Jie Gao,et al."An intelligent digital microfluidic system with fuzzy-enhanced feedback for multi-droplet manipulation".Lab on a Chip 13.3(2013):443-451.
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