Modelling DNA extension and fragmentation in contractive microfluidic devices: a Brownian dynamics and computational fluid dynamics approach

被引:12
|
作者
Wu, Shuyi [1 ]
Li, Chuang [1 ]
Zheng, Quanshui [1 ]
Xu, Luping [1 ]
机构
[1] Tsinghua Univ, Sch Aerosp Engn, Ctr Nano & Micro Mech, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
MOLECULE FORCE SPECTROSCOPY; INDUCED CHAIN SCISSION; BEAD-SPRING CHAINS; ELONGATIONAL FLOW; POLYMER-CHAINS; HYDRODYNAMIC INTERACTIONS; DEOXYRIBONUCLEIC ACID; LATTICE BOLTZMANN; DILUTE-SOLUTIONS; SHEAR-FLOW;
D O I
10.1039/c8sm00863a
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Fragmenting DNA into short pieces is an essential manipulation in many biological studies, ranging from genome sequencing to molecular diagnosis. Among various DNA fragmentation methods, microfluidic hydrodynamic DNA fragmentation has huge advantages especially in terms of handling small-volume samples and being integrated into automatic and all-in-one DNA analysis equipment. Despite the fast progress in experimental studies and applications, a systematic understanding of how DNA molecules are distributed, stretched and fragmented in a confined microfluidic field is still lacking. In this work, we investigate the extension and fragmentation of DNA in a typical contractive microfluidic field, which consists of a shear flow-dominated area and an elongational flow-dominated area, using the Brownian dynamics-computational fluid dynamics method. Our results show that the shear flow at the straight part of the microfluidic channel and the elongational flow at the contractive bottleneck together determine the performance of DNA fragmentation. The average fragment size of DNA decreases with the increase of the strain rate of the elongational flow, and the upstream shear flow can significantly precondition the conformation of DNA to produce shorter and more uniform fragments. A systematic study of the dynamics of DNA fragmentation shows that DNA tends to break at the mid-point when the strain rate of elongational flow is small, and the breakage point largely deviates from the midpoint as the strain rate increases. Our simulation of the thorough DNA fragmentation process in a realistic microfluidic field agrees well with experimental results. We expect that our study can shed new light on the development of future microfluidic devices for DNA fragmentation and integrated DNA analysis devices.
引用
收藏
页码:8780 / 8791
页数:12
相关论文
共 50 条
  • [1] FLUID DYNAMICS OF MICROFLUIDIC DEVICES
    Gao, Z.
    Ng, K.
    PROCEEDINGS OF THE ASME 9TH INTERNATIONAL CONFERENCE ON NANOCHANNELS, MICROCHANNELS AND MINICHANNELS 2011, VOL 2, 2012, : 527 - 532
  • [2] Computational Fluid Dynamics Modelling of Microfluidic Channel for Dielectrophoretic BioMEMS Application
    Low, Wan Shi
    Kadri, Nahrizul Adib
    Abas, Wan Abu Bakar bin Wan
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [3] Inflow Control Devices Placement: A Computational Fluid Dynamics Approach
    Sabet, Nasser
    Irani, Mazda
    Hassanzadeh, Hassan
    SPE JOURNAL, 2022, 27 (03): : 1562 - 1576
  • [4] Modelling a hydroconversion reactor based on a computational fluid dynamics approach
    Carbonell, MM
    Guirardello, R
    HYDROTREATMENT AND HYDROCRACKING OF OIL FRACTIONS, 1999, 127 : 289 - 296
  • [5] A simplified approach to modelling blasts in computational fluid dynamics (CFD)
    Mohotti, D.
    Wijesooriya, K.
    Weckert, S.
    DEFENCE TECHNOLOGY, 2023, 23 : 19 - 34
  • [6] A simplified approach to modelling blasts in computational fluid dynamics(CFD)
    D.Mohotti
    K.Wijesooriya
    S.Weckert
    Defence Technology , 2023, (05) : 19 - 34
  • [7] Thermotechnical modelling of hard turning: A computational fluid dynamics approach
    Kundrak, Janos
    Gyani, Karoly
    Tolvaj, Bela
    Palmai, Zoltan
    Toth, Robert
    Markopoulos, Angelos P.
    SIMULATION MODELLING PRACTICE AND THEORY, 2017, 70 : 52 - 64
  • [8] Dynamics of viscoelastic fluid filaments in microfluidic devices
    Steinhaus, Benjamin
    Shen, Amy Q.
    Sureshkumar, Radhakrishna
    PHYSICS OF FLUIDS, 2007, 19 (07)
  • [9] Computational fluid dynamics modelling of fire
    McGrattan, Kevin
    McDermott, Randall
    Floyd, Jason
    Hostikka, Simo
    Forney, Glenn
    Baum, Howard
    INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2012, 26 (6-8) : 349 - 361
  • [10] Accelerated Computational Fluid Dynamics Simulations of Microfluidic Devices by Exploiting Higher Levels of Abstraction
    Takken, Michel
    Wille, Robert
    MICROMACHINES, 2024, 15 (01)