optical separation of droplets on a microfluidic platform
TRANSCRIPT
RESEARCH PAPER
Optical separation of droplets on a microfluidic platform
Jin Ho Jung • Kyung Heon Lee • Kang Soo Lee •
Byung Hang Ha • Yong Suk Oh • Hyung Jin Sung
Received: 16 May 2013 / Accepted: 10 September 2013
� Springer-Verlag Berlin Heidelberg 2013
Abstract This paper describes the optical separation of
microdroplets according to their refractive indices. The
behavior of the droplets was characterized in terms of the
optical force and the hydrodynamic effects present upon
illumination of the droplets in a direction normal to the
flow direction in a rectangular microfluidic channel. The
optical forces acting on the droplets and the resultant
droplet trajectories were analyzed and compared with the
numerically predicted values. The relationship between the
drag force and optical force was examined to understand
the system performance properties in the context of
screening applications involving the removal of unwanted
droplets. Two species of droplets were compared for their
photophoretic displacements by varying the illumination
intensity. Because the optical forces exerted on the droplets
were functions of the refractive indices and sizes of the
droplets, a variety of chemical species could be separated
simultaneously.
Keywords Optical force �Droplet �Two-phase flow �Droplet migration � Passive separation � Optofluidics
1 Introduction
Screening large libraries of samples using conventional
techniques involving single cell analysis or chemical
reaction profiling is hindered by inherent time and cost
limitations. To overcome these limitations, lab-on-a-chip
technologies have been developed that take advantage of
continuous flow systems (Sia and Whitesides 2003; Squires
and Quake 2005; Song et al. 2006). The formation of
microdroplet emulsions in a flow cell provides one exam-
ple of a microfluidic technique and offers addressable
separated microreactors that are useful for isolating DNA,
cells, particles, or chemical reactions (Song et al. 2006;
Kelly et al. 2007; Teh et al. 2008; Tewhey et al. 2009; Um
et al. 2012). The carrier fluid in a microdroplet emulsion
system imposes a physical barrier between the isolated
samples, thereby preventing diffusion or cross-contamina-
tion. Several techniques have been developed to individu-
ally manipulate or store the micron-sized droplets of a
microfluidic platform (Fair 2007). The facility of individual
microdroplet manipulation is an essential function of
micrototal analysis systems (Theberge et al. 2010).
Microdroplets may be sorted using a variety of tech-
niques, including dielectrophoresis (Agresti et al. 2010),
magnetic force manipulation (Zhang et al. 2009), electro-
phoresis (Dittrich and Schwille 2003), surface acoustic
wave separation (Franke et al. 2010), pinched flow frac-
tionation (Maenaka et al. 2008), or deterministic lateral
displacement separation (Joensson et al. 2011). Methods
that enable label-free screening with passive separation of,
for example, chemical species or satellite droplets are
particularly in demand. Techniques based on optical forces
are appropriate for delicately controlling small objects
(Ashkin 1970; Grier 2003; Dholakia and Cizmar 2011). For
example, separation methods involving optical tweezers
Electronic supplementary material The online version of thisarticle (doi:10.1007/s10404-013-1263-0) contains supplementarymaterial, which is available to authorized users.
J. H. Jung � K. H. Lee � K. S. Lee � B. H. Ha �Y. S. Oh � H. J. Sung (&)
Department of Mechanical Engineering, KAIST,
291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea
e-mail: [email protected]
123
Microfluid Nanofluid
DOI 10.1007/s10404-013-1263-0
can accurately control target samples (Imasaka et al. 1995;
MacDonald et al. 2003). Optical forces depend on target
objects’ physical properties, such as its size and the
refractive index contrast between the object and the sur-
rounding fluid media. Optical separation techniques may be
used to screen satellite droplets or droplets that yield false
positives. Optical tweezers have been integrated into
microfluidic passive separation platforms in which a col-
limated array of beam lines is directed into the flow car-
rying micron-sized dielectric objects (Ashkin 1997;
Gauthier and Wallace 1995; Grier 2003).
Some researchers have introduced optical forces into
microfluidic channels for optical chromatography applica-
tions (Hebert et al. 2011), optical lattice separation (Mac-
Donald et al. 2003), or cross-type optical particle
separation (Kim et al. 2008). The manipulation of particles
in a double emulsion using optical forces in a glass capil-
lary has been studied (Lee et al. 2012). Studies involving
the application of optical forces to small objects have
tended to neglect the hydrodynamic effects of the carrier
fluid; however, emulsion droplets are typically larger than
commercially available microparticles, and their motions
can be affected by the microfluidic channel shape and
geometry. Droplet behaviors under large drag forces, such
as those experienced in a confined rectangular microfluidic
channel, or under optical forces require additional study.
This paper describes an analysis of the behavior of
droplets in the presence of optical forces in a microfluidic
channel. A droplet screening application is demonstrated
using optical forces based on the refractive index mismatch
between the droplets and the carrier fluid. Droplets were
generated in a microfluidic channel and transported in the
bulk flow. The trajectories of the droplets in the micro-
fluidic channel were deflected by a focused light beam
directed normal to the fluid flow. The optical force on the
droplets was modeled using the photon stream method in
combination with the particle dynamics equations. Many
particle separation models have described particle motions
based on external forces and the Stokes’ drag force. Rel-
atively large droplets can experience additional drag forces
that must be considered. The additional drag force may be
defined in terms of the microfluidic channel and geometry
to more accurately model the optical manipulation of
droplets. This paper offers a theoretical model that
describes experimental droplet screening techniques in
terms of the intrinsic droplet properties, including the size,
refractive index, and behavior of the droplets.
2 Theory
Droplet behavior was observed using the microfluidic
device shown in Fig. 1. Two aqueous droplet species were
generated using a typical T-junction method. The aqueous
droplets were pinched off from the main stream into a
continuous fluid phase (the oil phase) and transported to the
test section (Fig. 1b, c). In the test section, the droplet
trajectories were observed in the presence of a focal vol-
ume introduced by illumination with a 1,064 nm laser
beam directed normal to the flow direction. The optical
forces and drag forces in the microfluidic channel with a
square cross-section were modeled using the particle
dynamics equations. The optical forces were modeled
using the ray optics method to describe the radiation force
Fig. 1 a Schematic illustration
of the PDMS microfluidic
device used to generate two
species of droplets. The device
successfully separated the
droplets at the outlets.
b Generation of droplets at the
T-junction. c Optical
manipulation of the droplets.
d The illumination conditions
induced the label-free droplet
separation at the y-shaped
bifurcation
Microfluid Nanofluid
123
that acted on the transparent objects. The drag force
became dominant for high ratios between the droplet size
and the channel dimensions (Thorsen et al. 2001). The
system performance was expressed in terms of the pho-
tophoretic displacement, which measures the lateral dis-
tance through which a particle trajectory had been deflected
from the main longitudinal streamlines due to the presence
of the optical force (Helmbrecht et al. 2007). The pho-
tophoretic displacement corresponds to the optical chro-
matography resolution in a cross-type optical particle
separation regime (Kim et al. 2008).
In addition to the optical radiation force, several
hydrodynamic forces, including inertial forces, wall
repulsion forces, drag forces, and buoyancy forces, influ-
ence particle migration in an optical microfluidic separa-
tion device (Hatch et al. 2013). In this study, the inertial
migration and wall lift forces were neglected because the
Reynolds number was not sufficiently high to affect the
overall particle movement. The buoyancy force was not
considered because the Bond number was low. The drag
and optical forces were modeled using the particle
dynamics equations (Kim et al. 2008),
md
dud
dtþ 6plrdðU � udÞ ¼ Fgrad; ð1Þ
md
dvd
dtþ 6plrdvd ¼ Fscatter: ð2Þ
where md is the droplet mass, ud is the x-directional droplet
velocity, l is the viscosity, rd is the droplet radius, U is the
velocity of the fluid flow, and vd is the y-directional droplet
velocity. Fgrad is the optical gradient force that pushes the
droplet toward the center of the light beam. Fscatter is the
optical scattering force that pushes the droplet along the
axial direction of the light beam.
Droplets with a size that is comparable to the micro
channel geometry experience a large flow-induced drag
force. Under these conditions, the Stokes’ drag force terms
6plrdðU � udÞ and 6plrdvdÞ must be modified. The drag
force acting on a particle or bubble is affected by the
confined channel geometry and may be modeled by
adjusting the effective viscosity and the drag coefficient as
(van der Sman 2010),
FD ¼ 6pl�rd k1u1 � k2udð Þ; ð3Þ
where u? is the velocity of the fluid at the streamline in the
absence of the particle and l* is the effective viscosity. The
effects of the co-flowing fluid inside the droplet were
addressed by considering the viscosity of the disperse
phase fluid. The effective viscosity may be expressed as
l� ¼ lc
1þ 2lc=3ld
1þ lc=ld
ð4Þ
where lc is the continuous phase flow viscosity and ld is
the disperse phase flow viscosity. k1 and k2 are the drag
coefficients and are functions of the droplets size, location,
and dimensions of the channel. k1 is calculated from a
stationary droplet in a bulk fluid flow, and k2 is estimated
from the motion of a droplet in a quiescent fluid. The
coefficients k1 and k2 may be estimated using the analytic
solutions described in previous studies of the drag forces
acting on a single plate. The solutions describing the drag
forces acting on a single plate may be linearly summed.
Geometrical diagrams showing the drag force acting on
a droplet in a rectangular channel are given in Fig. 2a, d. A
two-dimensional diagram is shown in Fig. 2b. Happel et al.
(1983) developed a model for the relationship (k2,1)
between the drag force and the geometric configuration of
the droplet and the adjacent plate,
k2; 1ðjÞ ¼Fdrag;1
Fstokes
¼ 1
1� 9=16jþ 1=8j3 � 45=256j4 � 1=16j5;
ð5Þ
where h is the distance from the center of the droplet to a
single plate, and j is the ratio between h and rd (j = rd/h).
The subnotation 1 in k2,1 refers to the relationship between
the drag force and the droplet motion adjacent to the single
plate. The drag force on a particle moving between two
parallel plates may be modeled (Fig. 2b) by applying
Eq. (5) to both plates using the Oseen superposition
approximation,
k2;2;x ¼ 1þ k2;1ðrd=hÞ � 1� �
þ k2;1ðrd=ðH � hÞÞ � 1� �
;
ð6Þ
where k2,2,x is the drag coefficient that acts in the x-direc-
tion on a particle positioned between two parallel plates.
The increase in the drag force due to the presence of the
side walls in the microfluidic channel may be calculated in
a similar manner using Eq. (6).
The geometrical configuration is illustrated in Fig. 2c.
Equation (6) then gives the drag force coefficient in the x-
direction, k2,x (the subnotation x in k2,x refers to the x-
directional coefficient),
k2;x ¼ 1þ k2;2ðrd; h;HÞ � 1� �
þ k2;2ðrd;w0;WÞ � 1
� �;
ð7Þ
where the Oseen superposition principle is extended to the
rectangular channel (van der Sman 2010). The coefficient
k1,x, which is the drag force coefficient for a stationary
droplet in a bulk fluid flow directed along the x-direction,
can then be obtained from the generalized Faxen theorem
(van der Sman 2010),
Microfluid Nanofluid
123
k1; x ¼ k2;x 1� 1
3gðaÞk2 � cðaÞk5
� �; a ¼ W
H; k ¼ 2rd
H;
gðaÞ ¼1 slit
1:7 squre
(
; cðaÞ ¼ 0:125gðaÞ:
ð8Þ
The function g(a) is approximated within the range 1–1.7,
depending on the cross-sectional shape of the channel. The
above numerical analysis yielded the drag coefficients k1,x
and k2,x, which could then be used to modify the particle
dynamics equations in the x-direction according to
md
dud
dtþ 6pl�rdðk1;xu1 � k2;xudÞ ¼ Fgrad; ð9Þ
where Fgrad is the optical gradient force. Fgrad will be
considered in the next chapter.
The drag force coefficient in the y-direction may be
calculated using the above procedure. The relevant force
balance diagram is shown in Fig. 2d. Figure 2e illustrates
the confinement effects due to the floor and ceiling of the
microfluidic channel. These effects can be modeled by
assuming that the droplet moves between two parallel
plates to which k2,2,x is applicable. The droplet experiences
scattering forces that push the particle toward the wall, as
shown in Fig. 2f. The relevant coefficient may then be
evaluated according to (Kim 2004)
k2;10 ¼Fdrag
Fstokes
¼ 1
1� 9=8j0 þ 1=2j03; j0 ¼ rd
w0; ð10Þ
which predicts that the particle moves toward a single plate.
The subnotation 10refers to the single plate. The drag force
coefficient for a parallel plate system may be described as
k2; 2; y ¼ 1þ k2; 10 ðrd=w0Þ � 1� �
þ k2; 10 ðrd=ðW � w0ÞÞ � 1� �
;
ð11Þ
where k2,2,y is the drag force coefficient of the droplet
moving along the normal direction between the two
parallel plates. The coefficient k2, which is the drag force
coefficient for a stationary droplet in a bulk fluid flow along
the y-direction, may be estimated as
k2;y ¼ 1þ k2;2;xðrd; h;HÞ � 1� �
þ k2;2;yðrd;w0;WÞ � 1
� �;
ð12Þ
where k1 represents the drag force correction parameter
that accounts for the fluid flow around a stationary droplet.
If the fluid velocity is characterized by an x-directional
component alone, then k1,y is not needed. The particle
dynamic motion in the y-direction may then be modified as
md
dvd
dtþ 6pl�rdk2;yvd ¼ Fscatter: ð13Þ
Once the drag force correction factors had been
calculated, the optical forces acting on the droplet could
Fig. 2 Diagrams showing the definitions of variables used for
calculating the forces acting on the droplets confined in a rectangular
channel. a The forces acting on a particle along the x-direction in the
presence of optical forces. b A droplet moving parallel to the wall
(side view). c A droplet moving parallel to the wall (top view). d The
optical forces directed along the y-direction, acting on a droplet. e A
droplet moving parallel to the wall (side view). f A droplet moving
toward the wall (top view)
Microfluid Nanofluid
123
be calculated in the x- and y-directions. Three different
approaches were used to model the dielectric objects,
depending on their size: Rayleigh scattering theory, Mie
scattering theory, and the ray optics approach. The ray
optics approach was used here because the droplet size was
much larger than the beam wavelength (rp [ 20 lm).
Fresnel’s law for deflections and reflections was used to
track the photon’s pathway and momentum. The photon
stream method (Kim et al. 2008) was used to calculate the
optical gradient force (radial) and the scattering force
(axial):
Fgrad ¼ �n0
2c
Z2p
0
Zp2
0
Iðqk; zÞ R sin 2h1 � T2 sinð2h1 � 2h2Þ þ R sin 2h1
1þ R2 þ 2R cos h2
� �
� r2p sin 2h1 cos udh1du; ð14Þ
Fscatter ¼ �n0
2c
Z2p
0
Zp2
0
Iðqk; zÞ R cos 2h1 � T2 cosð2h1 � 2h2Þ þ R cos h1
1þ R2 þ 2R cos 2h2
� �
� r2p sin 2h1 cos udh1du: ð15Þ
where c denotes the speed of light in free space and n0
is the refractive index of the continuous phase fluid. h1
and h2 are the incident and deflected angles of the
beam at the interface of the droplets, respectively.
R and T are the Fresnel reflectance and transmittance,
respectively. I(qk, z) is the beam intensity profile where
qk and z are the radial and axial displacements from
the center of the beam to the center of the droplets,
respectively.
3 Experimental
A schematic diagram of the experimental setup is shown
in Fig. 3. A CW Nd:YAG 1,064 nm laser (Advance Op-
towave) in the TEM00 mode was used as the light source
with a maximum power of 10 W. The beam was focused
using an objective lens (Olympus NA = 0.45, 209) and
aligned using an IR imaging card (Melles Griot, Inc.). A
laser power meter (OPHIR, nova display) was used to
measure the beam power profile. In this experiment, the
translational location and incident angle of the beam were
carefully controlled. A custom-made 5-axis adjusting
stage was used to control the xyz axis and two rotational
axes of the microchannel. LED illumination (Mightex,
Inc.) and a sCMOS camera (Neo sCMOS, Andor) were
used to obtain the images. To avoid sCMOS camera
damage and to achieve clear experimental data, an IR
filter (Edmund Optics, Inc.) was inserted into the
mounting cube (Navitar, Inc.) in front of the sCMOS
camera detection optics. A syringe pump (Nemesys
Centoni GmbH) was used to control the flow rate of the
working fluid.
A PDMS microfluidic channel was fabricated by regular
soft lithography processes using a negative photoresist (Su-
8 2075, Microchem). A schematic diagram of the micro-
fluidic channel used for droplet generation is shown in
Fig. 4a. The width of the T-junction was 30 lm, and the
mechanical filter was positioned after the inlet port to
prevent clogging. The main test section was 600 lm wide
to permit observation of the droplet migration motions. The
channel height was 40 lm at the T-junction and 140 lm in
the main test section. These heights were used to control
the droplet size. The bilayer structure reduced the drag
forces by generating smaller droplets. A bifurcation junc-
tion was positioned at the end of the channel to permit two-
channel passive sorting. Because outlet 2 displayed a lower
hydraulic resistance, the droplets aligned at the center
collected through outlet 2.
HFE-7500 (C7F15OC2H5, n = 1.29, 3 M) was used as a
continuous phase fluid and contained 10v/v% 1H,1H,
2H,2H-perfluoro-1-octanol (C8H5F13O, n = 1.313, Sigma
Aldrich). The light wavelength used in this study,
1,064 nm, overlapped significantly with a water optical
absorption band. Absorption effects were avoided by using
heavy water (D2O, Sigma Aldrich) in the aqueous fluid
phase, as D2O displays a negligible absorption cross-sec-
tion at this wavelength. The refractive index (n) of the
Fig. 3 The experimental setup used to optically manipulate the
droplets. A 1,064 nm CW laser was used as the light source. The
objective lenses positioned the focal point at a test section in the
PDMS device. A syringe pump (NEMESYS Corp.) was used to
prepare the fluid flow in the microfluidic channel. Because the
alignment between the droplet and the light can significantly affect
the results, the sample was carefully adjusted using a translational and
rotational stage. Experimental data were captured using a sCMOS
camera (Andor Corp.) through an IR filter that prevented the scattered
illumination light from damaging the detector array
Microfluid Nanofluid
123
heavy water was controlled by adjusting the concentration
of calcium chloride (CaCl2) present in solution. In this
experiment, a 6 M CaCl2 aqueous solution (n = 1.469) and
the heavy water solution without CaCl2 (n = 1.328) were
used to form the droplets (Lee et al. 2012). The aqueous
solution contained 1 wt% Tween 20 (TCI) as a stabilizer.
The water-in-oil droplets were stable only if the affinity
between the PDMS wall and the aqueous solution was
smaller than the affinity between the continuous phase fluid
and the PDMS wall. To ensure that this condition was met,
silane containing a fluorocarbon liquid (EGC-1720, 3 M)
was flowed through the channel prior to preparing the
emulsion to introduce hydrophobic surface characteristics.
4 Results and discussion
The motions of the relatively large droplets (compared to
the channel height) in the tightly confined microfluidic
channel were monitored by laser beam illumination of the
device. The droplet size was 40 lm, the channel height was
95 lm, the refractive index of the droplet was 1.469, and
the flow velocity was 1,567 lm/s. The beam power was
3.15 W, and the beam was focused using an objective lens
(Olympus, NA = 0.3, 109). Figure 5a shows a time
sequence image describing a single droplet’s trajectory in
the presence of an optical force. The droplet was trans-
ported to the right (from the left) by the continuous fluid
flow. The droplet was deflected normal to the flow direc-
tion by the optical force. Each droplet in the figure repre-
sents the droplet position per ten milliseconds (images
were collected at a frame rate of 100 Hz). The fourth and
fifth droplets from the left were in close proximity, unlike
the other particles, which were separated by a regular
distance.
The optical gradient force then pushed the droplets to
the center of the beam focus. Prior to entering the center of
the beam focus, the optical force pushed and accelerated
the droplets until the forces reached a balance. As the
droplet is passed through the beam focus, the optical gra-
dient force applied a restoring force that pushed the droplet
in the direction opposite to the direction of the motion, as
Fig. 4 a Schematic diagram showing a T-junction channel used to
generate the droplets. The continuous fluid (oil) flowed left to right,
whereas the fluid droplets (heavy water) formed from the flows
introduced from the bottom and top channels indicated here. A
mechanical filter was positioned after the inlet port to prevent channel
clogging. The ratio of the inlet width to the main channel width did
not exceed 2, thereby ensuring that the droplets were generated under
a squeezing scheme. b The bifurcation junction positioned at the end
of the device. An asymmetric channel shape contributed to an
imbalance in the fluid resistances at the Outlet 1 and Outlet 2 ports
Fig. 5 Optical manipulation of droplets confined in a rectangular
channel. The measured droplet size was about 40 lm, and the flow
velocity was 1,567 lm/s. a The time sequence of images was
captured to illustrate the trajectory of the droplet through the
illumination field. b The experimental droplet trajectory is compared
with the numerically calculated results
Microfluid Nanofluid
123
shown in Fig. 2a. The optical gradient force increased the
resident time of the droplet in the optical field and signif-
icantly deflected the droplet normal to the flow direction
(the photophoretic displacement). Figure 5b shows a
droplet trajectory predicted by numerical calculations. The
numerical predictions agreed well with the experimental
measurements of the photophoretic displacements and
trajectories. The small discrepancies between predicted and
experimental results may have arisen from the assumption
that the droplet did not deform. Under experimental con-
ditions, droplets generally undergo continuous shape
changes as a result of the high drag forces or optical forces
(Sibillo et al. 2006; Chang et al. 2012). For this reason, the
discrepancies between predicted and experimental droplet
trajectories may stem from the experimental droplet
deformation effects that seek to balance the surface ten-
sion, drag force, and optical force. The photophoretic dis-
placement was found to be 20 lm for this system, which
was quite low. The resolution of the device was not
sufficient to permit separation or manipulation, despite the
large optical force exerted on each droplet. We hypothe-
sized that the poor separation performance arose from the
high drag force in the confined geometry. The system
resolution may be enhanced by changing the channel size
or other physical properties.
Excessively large drag forces on the droplets may be
avoided by using smaller droplets in a larger channel. An
active droplet separation technique using an optical
switching function is illustrated in Fig. 6a, b. The measured
droplet size was 20 lm, the width of the test channel section
was 600 lm, and the height of the test channel section was
140 lm. The refractive index of the droplet was 1.469, and
the measured droplet velocity was 900 lm/s. The beam was
focused using a 209 magnification objective lens (Olym-
pus, NA = 0.45), and the beam power was 1.5 W after the
focusing lens. When laser was switched off, all droplets
flowed to the waste outlet (downward), as shown in Fig. 6a.
Under the light field, the droplets were deflected along the
Fig. 6 Optical switching was used to manipulate the droplets. The
droplets contained a 6 M CaCl2 deuterium oxide (D2O, Sigma
Aldrich) solution, and the continuous phase fluid was HFE-7500. The
velocity of the continuous fluid was 900 lm/s. a When the laser was
off, all droplets flowed to the waste branch (downward). b Under
illumination, the droplets were deflected and moved toward the upper
outlet. The laser beam was used to manipulate the droplet trajectories
from the left-hand side of the image, outside of the field of view
Fig. 7 The droplets displayed different behaviors, depending on the
refractive index contrast between oil and water phases, even under
identical conditions. Droplet A contained a 6 M CaCl2 deuterium
oxide (D2O, Sigma Aldrich) solution and droplet B contained
deuterium oxide (D2O, Sigma Aldrich). As the CaCl2 concentration
increased, the refractive index increased. Droplet A had a higher
refractive index contrast and was deflected by the illumination beam
to a larger extent than droplet B. As a result, droplet A was deflected
along the direction normal to the flow. The velocity of the continuous
fluid was 900 lm/s
Microfluid Nanofluid
123
direction normal to the flow and were transported to outlet 1
(upward). The trajectories were optically manipulated in the
left-hand region of the flow channel outside of the field of
view and away from the outlet branches (Online Resource
1) because the fluid flow at the branch affected the droplet
migration patterns. The photophoretic displacement was
sufficient to overcome the hydraulic resistance induced by
the asymmetric bifurcated channel design.
The photophoretic displacements of two different spe-
cies of droplet were measured to ensure that the device
performance was appropriate for passive optical separation
applications. The experimental procedure and conditions
were as described previously, except that the laser power
was set to 2 W. The droplet shown in Fig. 7a will be
referred to as ‘droplet A’ and features a high refractive
index, whereas the droplet shown in Fig. 7b will be
referred to as ‘droplet B’ and features a refractive index
similar to that of the fluid medium. Light passing through
droplet A experienced a larger degree of refraction than the
light passing through droplet B. As a result, the photoph-
oretic displacements of droplets A and B were 35.12 lm
and 2.53 lm, respectively. Additional data are provided in
the Online Resource 2. The photophoretic displacements of
both species of droplet are shown in Fig. 8 as a function of
the power. The flow velocity was adjusted to decrease the
hydrodynamic interaction effects due to the presence of
adjacent droplets by maintaining a minimal distance
between droplets. Figure 8 shows the measured photoph-
oretic displacement from experimental results and numer-
ical predictions. The error bars indicate the minimum and
maximum determined values. The discrepancies between
experimental and predicted results may have arisen from
the elastic motions of the droplets. A passive optical
screening application using droplets with a higher refrac-
tive index is shown in Fig. 9. Two droplets were present in
the fluid flow, and the laser illumination was turned on.
Droplet A was pushed along the direction of light propa-
gation (Fig. 9a). After passing through the illuminated
area, the droplets were pushed laterally along the flow
direction and transported by the bulk fluid flow without
displaying further drift in the lateral position (Fig. 9b);
however, droplet B showed no change in its lateral position
due to the droplet’s low photophoretic efficiency (Fig. 9b,
c). The effect of the droplet size on the photophoretic
displacement was shown to be small. Only high refractive
Fig. 8 Droplet behavior as a function of the refractive index contrasts
between oil and aqueous phase fluids under the same conditions.
Experimental data and numerical predictions are shown as, respec-
tively, lines and symbols. As the beam power increased, the system
performance improved. The error bars indicate minimum and
maximum data values
Fig. 9 Droplet B was screened using optical force separation
techniques. The carrier fluid flowed from left to right, and the
illumination beam was focused at the center of the microfluidic
channel in the z-direction. The velocity of the continuous fluid was
900 lm/s. a Droplet A entered the test section and was illuminated by
the laser beam. The bright spot of the droplet focused the light beam
due to the high refractive index of the droplet A. b Droplet B followed
along the same streamline and entered the illumination beam.
Because the refractive index of droplet B was similar to that of the
carrier fluid, the light did not deflect the path of droplet B. c The
trajectories of droplets A and B are shown. Only droplet A was
deflected laterally from its original trajectory within the streamline
Microfluid Nanofluid
123
index droplets were deflected normal to the direction of
flow and were split away from their former streamlines
(Online Resource 3).
5 Conclusions
This paper examined the optical and hydrodynamic char-
acteristics of droplets in a rectangular microfluidic channel
in an effort to separate the droplets based on their optical
properties. The droplets were generated using the T-junc-
tion method and were transported to the main test area in a
carrier fluid flow. The application of optical forces repelled
the droplets laterally away from their streamlines. The
lateral displacement distance in a cross-type optical particle
separation scheme is called the photophoretic displace-
ment. The droplet behaviors and photophoretic displace-
ments were characterized experimentally and predicted
theoretically using numerical calculations. The optical
forces were calculated using the photon stream method and
applied to the particle dynamics equations. Drag coeffi-
cients were introduced in place of the Stokes’ drag force as
an estimate for the drag force experienced by the droplets.
As the ratio of the droplet size to the channel cross-sec-
tional dimensions increased, the drag force also increased
and the system performance decreased. Thus, both the
channel geometry and the physical properties of the drop-
lets required optimization. To avoid introducing exces-
sively high drag forces on the droplets, the droplet size was
adjusted until a sufficiently high photophoretic displace-
ment could be obtained using the optical switching oper-
ation. The 6 M CaCl2 heavy water droplets overcame the
fluid resistance and were transported to outlet 1 or outlet 2
when the illumination was turned on. The beam intensity
could be adjusted to manipulate the droplets in the
microfluidic channel using the optical forces. The optical
responses of two droplets with different refractive indices
were compared in terms of their photophoretic displace-
ments. A beam power of 2 W in a given microfluidic
platform yielded photophoretic displacements of 35.12 or
2.53 lm, a difference that was sufficient to permit droplet
sorting. The optical characteristics of the droplets were
used for the label-free separation of chemical or biological
samples. Droplet separation was demonstrated by screen-
ing a particular droplet type at the outlet from an emulsion
flow containing different types of droplets. Unlike other
sample recognition techniques, the optical and hydrody-
namic characteristics of the device descried here could be
used to screen and separate the droplets in one step. The
alignment of droplets along a fixed lateral position was
important for separation. Once this condition had been
satisfied, the separation resolution was expected to be high.
These results may be applied toward the design of chemical
or biological sample screening and manipulating devices.
Acknowledgments This work was supported by the Creative
Research Initiatives program (No. 2013-003364) of the National
Research Foundation of Korea (MSIP).
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