Automatic Design of Droplet-Based Microfluidic Ring Networks

被引:5
|
作者
Fink, Gerold [1 ]
Hamidovic, Medina [2 ]
Haselmayr, Werner [2 ]
Wille, Robert [1 ]
机构
[1] Johannes Kepler Univ Linz, Inst Integrated Circuits, A-4040 Linz, Austria
[2] Johannes Kepler Univ Linz, Inst Commun Engn & RF Syst, A-4040 Linz, Austria
关键词
Payloads; Network topology; Switches; Biology; Hydrodynamics; Topology; Standards; Design automation; droplet microfluidics; microfluidic networks; ring networks;
D O I
10.1109/TCAD.2020.2997000
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Droplet-based microfluidic networks allow to process biological or medical samples by standard unit operations, such as mixing, incubating, sorting, or sensing. However, many of these networks usually perform such operations in a predefined way and, thus, lack in their flexibility. To overcome this problem, ring networks are used, since they allow to execute multiple operations in a row. But while several concepts and also prototypical implementations exist that realize such ring networks, the design process for them is still mainly conducted manually thus far. This is a severe drawback since various aspects, such as the dimensions of the channels, the effects of droplets, the used fluids, the volumetric flow rates inside the channels, etc., have to be considered for this purpose. In this article, we propose design automation methods which address this problem. The proposed solution will automatically generate a proper design as well as correspondingly needed droplet sequences. A case study demonstrates the applicability of the resulting methods and simulations confirms the validity of the proposed approach.
引用
收藏
页码:339 / 349
页数:11
相关论文
共 50 条
  • [1] Robustness Analysis for Droplet-Based Microfluidic Networks
    Fink, Gerold
    Grimmer, Andreas
    Hamidovic, Medina
    Haselmayr, Werner
    Wille, Robert
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 39 (10) : 2696 - 2707
  • [2] Automatic Droplet Sequence Generation for Microfluidic Networks With Passive Droplet Routing
    Grimmer, Andreas
    Haselmayr, Werner
    Wille, Robert
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 39 (02) : 387 - 396
  • [3] Ultrasensitive detection of lysozyme in droplet-based microfluidic devices
    Giuffrida, Maria Chiara
    Cigliana, Giovanni
    Spoto, Giuseppe
    BIOSENSORS & BIOELECTRONICS, 2018, 104 : 8 - 14
  • [4] Optical detection for droplet size control in microfluidic droplet-based analysis systems
    Nguyen, NT
    Lassemono, S
    Chollet, FA
    Transducers '05, Digest of Technical Papers, Vols 1 and 2, 2005, : 1557 - 1560
  • [5] Optical detection for droplet size control in microfluidic droplet-based analysis systems
    Nguyen, Narn-Trung
    Lassemono, Surnantri
    Chollet, Franck Alexis
    SENSORS AND ACTUATORS B-CHEMICAL, 2006, 117 (02) : 431 - 436
  • [6] High-throughput droplet-based microfluidic optical calorimeter
    Recht, Michael I.
    Chamoun, Jacob
    Pattekar, Ashish
    Martini, Joerg
    FRONTIERS IN BIOLOGICAL DETECTION: FROM NANOSENSORS TO SYSTEMS XI, 2019, 10895
  • [7] Droplet-based microfluidic washing module for magnetic particle-based assays
    Lee, Hun
    Xu, Linfeng
    Oh, Kwang W.
    BIOMICROFLUIDICS, 2014, 8 (04):
  • [8] Microfluidic droplet-based high-throughput screening of filamentous fungi
    Li, Yuwen
    Dai, Jing
    Shim, Won-Bo
    Han, Arum
    2022 IEEE SENSORS, 2022,
  • [9] Numerical and experimental investigation of a flow focusing droplet-based microfluidic device
    Soroor, Mostafa
    Targhi, Mohammad Zabetian
    Tabatabaei, Seyed Ali
    EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2021, 89 : 289 - 300
  • [10] Integration of a Droplet-Based Microfluidic System and Silicon Nanoribbon FET Sensor
    Afrasiabi, Roodabeh
    Soderberg, Lovisa M.
    Joensson, Haakan N.
    Bjork, Per
    Svahn, Helene Andersson
    Linnros, Jan
    MICROMACHINES, 2016, 7 (08):