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LABORATORY OF BIOLOGICAL STRUCTURE MECHANICS
Fluid dynamic design principles for flow microchambers Gabriele Dubini
Department of Chemistry, Materials and Chemical Engineering ‘Giulio Natta’ Politecnico di Milano, Milan, Italy
自己紹介
皆さん、こんにちは。 はじめまして、ガブリエーレ・ドゥビニと申します。どうぞよろしくお願いします。
バイオエンジニアリング学部の教師です。 ご招待ありがとうございます。 日本では初めて、楽しみにしています。
Outline Introduction to the Laboratory of Biological Structure Mechanics – LaBS, Politecnico di Milano, Milan, Italy Elements of fluid dynamics The micro / nano scale environment Design of a parallel-plate microfluidic chamber
Outline Introduction to the Laboratory of Biological Structure Mechanics – LaBS, Politecnico di Milano, Milan, Italy Elements of fluid dynamics The micro / nano scale environment Design of a parallel-plate microfluidic chamber
Laboratory of Prosthesis
Biomechanics
Laboratory of Tissue Mechanics
Laboratory of Medical
Microdevices
Mechanobiology Lab
Laboratory of Life Support
Systems
Computer center
EXPERIMENTAL
COMPUTATIONAL
Validation of computational predictions Physical measurements of quantities
Evaluation of quantities hard to assess experimentally Design and study of experimental activity
10-6 mm 103 mm
1m 1nm 10-3 mm 100 mm
1mm 1µm
10ton 0.01mg 1kg 0.1g 10-7 N 105 N 10-3 N 101 N
10-4 mm 10-5 mm 10-1 mm 10-2 mm 102 mm 101 mm
10-5 N 10-1 N 103 N
Displacements
Forces
www.labsmech.polimi.it
Outline Introduction to the Laboratory of Biological Structure Mechanics – LaBS, Politecnico di Milano, Milan, Italy Elements of fluid dynamics The micro / nano scale environment Design of a parallel-plate microfluidic chamber
Laminar and turbulent flow: the Reynolds number
water
ink
µρ
= cLwRe
x
y
z
wx
τy+dy
τy
dxdydzx
wwdxdydzDtDw x
x ∂∂
ρ=ρ= forces (inertial) convective
( ) dxdydzywdxdzdy
yw
ydxdzdy
ydxdz xx
ydyy 2
2
forces viscous∂
∂µ=
∂
∂µ
∂∂
=
∂
τ∂=τ−τ= +
carat
x
Lw
xw
∝∂
∂
22
2
caratt
x
Lw
yw
∝∂
∂
conduitsin diameter hydraulic 4length sticcharacteri ==== ht
c DPAL
wwx ∝
r
z
h
h
DmDw
πµ=
µρ
=4Re
−=
2
max 1)(Rrwrw 7
1
max 1)(
−=
Rrwrw
In steady-state conditions:
Laminar and turbulent flow: the velocity profiles
µρπ
⋅=µ
ρω⋅=
FLL cc 222
Wo
( ) dxdydzywdxdzdy
yw
ydxdzdy
ydxdz xx
ydyy 2
2
forces viscous∂
∂µ=
∂
∂µ
∂∂
=
∂
τ∂=τ−τ= +
Fwwt
wx π=ω∝∂
∂ 2
22
2
c
x
Lw
yw
∝∂
∂
dxdydzt
wx
∂∂
ρ= forcestransient
x
y
z
wx
τy+dy
τy
Pulsatile flow: the Womersley number
flowslaminar in Re056.0 ⋅≈hD
x
flowsnt in turbule 10≈hD
x
r
x
The entry length
0=⋅∇ w
( ) gwwwwρ+∇µ+−∇=
∇⋅+
∂∂
ρ 2pt
(mass conservation)
(momentum conservation)
Hypotheses: incompressible, homogeneous, Newtonian fluid
Incompressible, Newtonian fluids: the Navier-Stokes equations
A particular case: 2-D Navier-Stokes equations for steady-state flow
𝜌𝜕𝑤𝑥𝜕𝜕
+ 𝑤𝑥𝜕𝑤𝑥𝜕𝑥
+ 𝑤𝑧𝜕𝑤𝑥𝜕𝑧
= −𝜕𝜕𝜕𝑥
+ 𝜇𝜕2𝑤𝑥𝜕𝑥2
+𝜕2𝑤𝑥𝜕𝑧2
𝜌𝜕𝑤𝑧𝜕𝜕
+ 𝑤𝑥𝜕𝑤𝑧𝜕𝑥
+ 𝑤𝑧𝜕𝑤𝑧𝜕𝑧
= −𝜕𝜕𝜕𝑧
+ 𝜇𝜕2𝑤𝑧𝜕𝑥2
+𝜕2𝑤𝑧𝜕𝑧2
𝜕𝑤𝑥𝜕𝑥
+𝜕𝑤𝑧𝜕𝑧
= 0
𝜕𝜕𝜕𝑥
= 𝜇𝜕2𝑤𝑥𝜕𝑧2
and, if the pressure gradient ∂P/∂x is constant and equal to ∆P/L:
𝑤𝑥 𝑧 =∆𝜕ℎ2
8𝜇𝜇1 −
4𝑧2
ℎ2= 𝑣𝑚𝑚𝑥 1 −
4𝑧2
ℎ2 −
ℎ2≤ 𝑧 ≤ +
ℎ2
for
x y
z
L
w h
h « L h « w
𝑤𝑥 =1𝐴𝑡� 𝑤𝑥 𝑧 𝑑𝑧+ℎ2
−ℎ2
=23∆𝜕ℎ2
8𝜇𝜇
Outline Introduction to the Laboratory of Biological Structure Mechanics – LaBS, Politecnico di Milano, Milan, Italy Elements of fluid dynamics The micro / nano scale environment Design of a parallel-plate microfluidic chamber
Why miniaturization?
• It reduces reagent, energy consumption, and waste handling • It enables faster, cheaper, and better processes (same as in
microelectronics) • It yields better performances (speed and output) • It allows integration of multiple processes (including
parallelization) • It automates processes • It enables new functionalities, often impossible at the
macroscopic level
The lab-on-a-chip concept
An early integrated device with two liquid samples and electrophoresis gel present
Burns et al., Science, 1998
Blue, liquid sample (ready for metering) Green, hydrophobic surfaces Purple, polyacrylamide gel
Comparison between volume densities of culture conditions in traditional, macroscale culture in 6-well plates and in microscale, microchannel culture (750 µm wide, 5 mm long, and 250 µm tall).
Paguirigan and Beebe, BioEssays, 2008
1 mm 1 mm3 = 1 µl
10 µm 103 µm3 = 1 pl
100 µm 106 µm3 = 1 nl
Capillary pressure
Pcap > Patm Pcap < Patm
Hydrophilic microchannel 100 µm (water-air): Pcap = 0,015 bar Nanochannel 100 nm (water-air): Pcap = 15 bar
Definition
Range of channel dimension
Conventional channels Dh > 3 mm
Minichannels 3 mm ≥ Dh > 200 µm
Microchannels 200 µm ≥ Dh > 10 µm
Transitional microchannels 10 µm ≥ Dh > 1 µm
Transitional nanochannels 1 µm ≥ Dh > 0,1 µm
Nanochannels Dh ≤ 0,1 µm = 100 nm
𝐻𝐻𝑑𝐻𝐻𝐻𝐻𝐻𝐻 𝑑𝐻𝐻𝑑𝑑𝜕𝑑𝐻 𝐷ℎ =4𝐴𝑡𝑝
Design considerations for microflows: driving force for fluid motion and the channel characteristics can be chosen independently
A flow driven by either a pressure gradient, an electric field, or a surface tension gradient.
A surface modified chemically in stripes. A surface modified with topography.
Stone et al. Annu. Rev. Fluid Mech., 2004
Microfluidic devices for manipulating fluids: a vast experience! What about fluids with suspended cells?
Cell size vs channel size
Ex. #1 - In vivo: Lymphocyte homing
Ex. #2 - In vitro: Inflammation – Leukocyte adhesion cascade - THP1 adhesion to VCAM-1 at 0.5 dyn/cm²
Cell responses on surface chemistry of channel walls: 1) surface hydrophobicity 2) protein adsorption 3) surface charge 4) surface roughness 5) surface softness and stiffness
Pinning fluid–fluid interfaces by chemically inhomogeneous surfaces in static (c) and flowing systems (d). Altering the wetting properties using chemically homogeneous, micro- and nanostructured surfaces: (e, f ). (Gűnther and Jensen, Lab on a Chip, 2006)
Cell responses on architecture of porous materials: 1) pore size 2) porosity 3) connectivity and tortuosity
Schematic of the different pore types found in tissue engineering scaffolds (Wang et al., Tissue Engineering Part C Methods, 2010).
Determination of tortuosity through a porous material using the arc-chord ratio (O'Connell et al., BioMedical Engineering , 2010).
Fluid dynamic approaches to cell suspensions • Navier-Stokes eq. for the sole carrier fluid • Lagrangian approach (dilute suspensions) • Two-phase flow • Non-Newtonian flow • Fluid-structure interaction
𝐻𝐻𝑑𝐻𝐻𝐻𝐻𝐻𝐻 𝑑𝐻𝐻𝑑𝑑𝜕𝑑𝐻 𝐷ℎ =4𝐴𝑡𝑝
𝑊𝐻𝐻𝐻 𝑠ℎ𝑑𝐻𝐻 𝑠𝜕𝐻𝑑𝑠𝑠 𝜏𝑤 = 𝜇�̇� =6𝑈𝜇𝑠
𝑀𝑑𝐻𝑀 𝑣𝑑𝐻𝑣𝐻𝐻𝜕𝐻 𝑈 =�̇�𝜌𝐴𝑡
𝐹𝐻𝐻𝐻𝜕𝐻𝑣𝑀 𝑓𝐻𝐻𝜕𝑣𝐻 𝑓 =𝐷ℎ∆𝜕
2𝜌𝑈2𝜇
Parameters from ‘macroscopic’ transport phenomena
𝐷𝐻𝑓𝑓𝐻𝑠𝐻𝑣𝐻𝜕𝐻 𝐷 =𝑘𝐵𝑇
6𝜋𝜇𝐻
𝜕𝑃𝐻𝐻𝑑𝜕 𝑁𝐻𝑑𝑁𝑑𝐻 𝜕𝑑 =𝑈𝐷ℎ𝐷
𝑆ℎ𝑑𝐻𝑤𝑣𝑣𝑑 𝑁𝐻𝑑𝑁𝑑𝐻 𝑆ℎ =ℎ𝐷ℎ𝐷
Diffusivity characteristic time vs convective characteristic time
Convective mass flux vs diffusive mass flux
Analyte D (m2/s) Pe
Na+ (100 pm) 10-9 10
Glucose 6×10-10 17
Albumine (BSA, 10 nm) 10-11 103
Viron (100 nm) 10-12 104
Bacterial Cell (1 µm) 10-13 105
Erythrocyte (10 µm) 10-14 106
Polystyrene Bead (100 µm) 10-15 107
Diffusivities and representative Péclet numbers for dilute analytes in water at 25 °C (100 µm wide channel, 100 µm/s mean velocity)
Smith et al., Electrophoresis, 2012
(a)-(d) Contours of fluorescent light intensity (FLI), which indicate bacterial concentration, plotted for RP437 E. coli at different time snapshots. (e)-(h) Bacteria collect in the vortex pair as shown by FLI contours overlaid on the flow streamlines (solid blue lines) (Yazdi and Ardekani, Biomicrofluidics, 2012).
Local fluid dynamics and cell adhesion
Smith et al., Electrophoresis, 2012
𝑆𝜕𝑣𝑘𝑑𝑠 𝑁𝐻𝑑𝑁𝑑𝐻 𝑆𝜕 =𝜌𝑝𝐷𝑝2𝑈18𝜇𝐷ℎ
Particle time scale vs flow time scale
PCTC: prostate circulating tumor cell
Possible ways to bring cells in contact to a wall • rely on a diffusive process to cause cells to randomly move
transverse to streamlines, • apply a body force (e.g., gravity or dielectrophoresis) to move the
cells transverse to streamlines, • create geometries in the flow so that flow is accelerated,
streamlines are compressed and the cells are effectively brought in proximity to the wall by motion along a streamline,
• make the wall permeable and allow the streamlines to cross the interface.
Smith et al., Electrophoresis, 2012
𝐶𝐻𝑝𝐻𝐻𝐻𝐻𝐻𝐻 𝑁𝐻𝑑𝑁𝑑𝐻 𝐶𝐻 =𝜇𝑈𝑑𝜎
𝐵𝑣𝑀𝑑 𝑁𝐻𝑑𝑁𝑑𝐻 𝐵𝑣 =∆𝜌 𝑔𝐷ℎ
2
𝜎
𝑊𝑑𝑁𝑑𝐻 𝑁𝐻𝑑𝑁𝑑𝐻 𝑊𝑑 =𝜇𝑈𝑑
2𝐷ℎ𝜎
Gravity vs interfacial forces
Viscous vs interfacial forces
Inertial vs interfacial forces
Presence of suspended cells multiphase microflows
Inertial, viscous and gravitational body forces, relative to interfacial forces, as a function of the channel size and characteristic velocity in microfluidic multiphase systems
Gűnther and Jensen, Lab on a Chip, 2006
Strain rates can be large in the microflows. In the simplest case, τ ≈ U/h, which can yield 103 - 104 s−1. Such values are sufficiently large to cause non-Newtonian rheological effects, if suspended deformable objects are present.
𝐷𝑑𝑁𝑣𝐻𝐻ℎ 𝑁𝐻𝑑𝑁𝑑𝐻 𝐷𝑑 =𝜕𝑐𝜕𝑝
Material stress relaxation time vs characteristic time scale
Presence of suspended cells non-Newtonian fluids
A well known effect - since 1929 - is the Fåhraeus effect for blood flowing in small tubes (I.D. < 0,3 mm).
A further issue: cell population dynamics
Galbusera et al., Biomed. Microdevices,2008 http://people.physics.anu.edu.au/~mak110/
Example 1: Shear-stress dependent leukocyte adhesion assays
Bianchi et al. Journal of Biomechanics, 2012
Schematics of a flow chamber (a), its computing model (b), a half computing model with active test region (c), micropatterned osteoblasts (d), and a unit with a single cell of computational model (e). In the current models, seven or fifteen units were placed in one row, and seven rows were used for simplicity of calculation (Cui et al. Ann. Biomed. Eng., 2011)
Kobel et al., Lab on a Chip, 2010
100 µm
10 µm
Example 2: Single cell trapping
Nason et al., COUPLED PROBLEMS 2013
Simulation of blood flow (Hct 30% and 95 ± 5 s-1shear rate; Dh = 19 µm (left) and Dh = 24 µm (right). The domains are cut at the centerplane of the vessels (Alizadehrad et al., Journal of Biomechanics, 2012).
Example 2a: Red blood cells in microvessels
Example 3: A microfluidic in vitro model for specificity of breast cancer metastasis to bone
Bersini et al., Biomaterials, 2014
Outline Introduction to the Laboratory of Biological Structure Mechanics – LaBS, Politecnico di Milano, Milan, Italy Elements of fluid dynamics The micro / nano scale environment Design of a parallel-plate microfluidic chamber
Several reasons make microfluidic devices and systems interesting also for cell manipulation: • The increasing interest for living cells • The integration of several standard analytical operations • The possibility to manipulate large numbers of cells simultaneously • The possibility of manipulate single objects with cellular dimension by micromechanics device • The fast response of microenvironment to heat, chemical and electrical stimuli.
http://yoon.eecs.umich.edu/microfluidics.html
Cells are implicated in a regulatory network of inter-cellular signaling pathways that control homeostasis as well as the response to pathogenic stress. Cell-cell and cell-extracellular matrix is a prominent component of such pathways. Cell-cell interactions are essential for circulating cells to make contact with the vessel wall and eventually penetrate in the endothelial barrier.
Adhesion and extravasation processes are influenced by several factors: • properties and signaling of cellular adhesion • flow conditions • capillary geometry or confinement • cellular rheological properties • interactions with other cells.
Shear stress acts to deform cells in the direction of blood flow, and induces a structural remodeling and flattening to minimize a chronic stimulation.
Vascular endothelial cells in vivo are influenced by the hemodynamic mechanical stresses: • the transmural pressure, inducing
cyclical strain of the vessels • the frictional force generated by the
blood flow.
mediators
Blood flow Particles interactions
(platelets – erithrocytes)
τω
Fdrag
Ronen Alon (Immunity jan2007)
τm
Normal and Shear stresses on the cell membrane
Normal and Shear stresses on the
endothelial wall
• Multiple steps cascades controlled by integrated chemoattractant-dependent signals and adhesive events
• Endothelial ligands involved in that second step of firm adhesion are intercellular adhesion molecules (ICAMs) and vascular cell adhesion molecules (VCAMs).
inflammation
Leukocyte Shear dependent adhesion and transmigration
across vessel wall in inflammation
Thin flow chamber and thick flow chamber, referring to the ratio between cells and channel dimension.
Height of the channel (mm)
Design requirements:
SAMPLE 50 – 500 µl
Tunable shear stress conditions
Triplicated result for each tested
shear stress/assay (statistic consistence)
Allowing diapedesis of transmingrating cells
s vm
Several simultaneous
shear stress tests
s vm s v
m s vm
s vm
Suitable to be opened and re-usable
Several simultaneous assays
at the same shear stress ( different biomolecules configuration)
s vm s v
m s vm
High-throughput read-out of results
Integrability of a coated membrane eventually covered
by an endothelial activated monolayer
Parallel flow chamber for cell adhesion and migration
Parallel flow chamber for cell adhesion and migration
Sample is driven to 3 parallel group of 3
chambers (Syringe pump)
Each group of chamber offers a different wall shear stress condition τw :
different ∆P resistive pathways distribute flow among the groups
τw high τw medium τw low 1.5 mm
50 µm
Range 0.05<τw<4 Pa Ratio 1: 13.3 : 40
Design of a First prototype:
Flow rate 452 µL / min
Poiseuille relation – Hydraulic diameter
<5
Parallel flow chamber for cell adhesion and migration
System configuration
L1<L2<L3
3 Groups with different Shear Stress, each one with 3 chambers
Inlet (2)
Inlet (1)
Outlet (2)
Outlet (1a) Outlet (1a)
3 Groups with identical
Shear Stress, total of
9 chambers
Inlet (1)
Inlet (2)
Outlet
L3
L1 L2
3 chambers High τw 3 chambers Medium τw
3 chambers Low τw
Parallel flow chamber for cell adhesion and migration
Microfabrication
Powder blasting
70°
d d
d
Hydrofluoric Isotropic Etching
Thermic bonding
Thermic bonding
Borofloat glass
Parallel flow chamber for cell adhesion and migration
CFD simulations of the chambers: evaluation of the establishment length and the shear stress distribution on the membrane.
Fluent Ansys Hexaedrons dominated mesh
Parallel flow chamber for cell adhesion and migration
0
3
6
9
12
15
Pres
sure
dro
p [K
Pa]
Flow rate [µL/min]
Medium S.S. group // High S.S. group
Low S.S. group
Low S.S. // Medium S.S// High S.S.
Analytical estimation
Experimental data
452 inlet
P Complete configuration
P
P
Low Shear Stress path
Parallel Configuration
M//H
Design by analytic formulae
Channel with rectangular cross-section (CFD for
non standard geometries)
Shear stress on the membrane.
Parallel flow chamber for cell adhesion and migration
Experimental characterisation
Triple Layer chip
Experimental measurements MicroPIV: evaluation of the flow rate distribution among the parallel pathways
t’ t’ + ∆t
Frame A
Frame B
Statistical methods
TSI, Fluospheres 540/560- 1 µm Powerview cam
2048x2048- Nd:Yag 532nm – Ensemble
PIV – 7couples 760mmx760mm,
64x64px spot
MicroPIV system
Parallel flow chamber for cell adhesion and migration
Polycarbonate membrane
Pores - 8 μm h = 7-22 μm E = 70 MPa Millipore
(a) (b)
20X optic LD – inverted transmission microscope (Zeiss Axiovert 135 TV with QImaging Exi-Blue)
Suspension of murine neutrophils (RBL-2H3 rat basophilic leucemia cells,
mouse CXCR2 stably transfected), in HBSS (1mM Ca/Mg, 10 mM
HEPES, 0.1% BSA) 1.5 x 106 cells/ml
Polycarbonate membrane - 10μg/ml VCAM (Recombinant Mouse VCAM-1/Fc Chimera –
R&D Systems) 37°C – 1h,
Pores Cells
12 µl/min 0.108 Pa
Adhesion tests with cells (to assess light transmission, sealing efficacy and usability)
Parallel flow chamber for cell adhesion and migration
Conclusion
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