Acoustic streaming enabled by a Lamb wave resonator (LWR) is efficient for particle trapping and enrichment in microfluidic channels. However, because Lamb waves combine the features of bulk acoustic waves and surface acoustic waves, the resulting acoustic streaming in the LWR occurs in multiple planes, and the particle flow behavior in this acoustofluidic system is largely unknown. Reported here are numerical simulations and laboratory experiments conducted to investigate the boundary conditions for particle motion inside a microvortex induced by an LWR. Upon dynamic capture, the particles’ trajectories become orbital paths within an acoustic vortex. The suspended particles encounter two distinct acoustic phenomena, i.e., the drag force resulting from acoustic streaming and the acoustic radiation force, which exert forces in various directions on the particles. When the acoustic radiation force and the fluid drag force are dominant for large and small particles in a mixed solution, respectively, the large particles reside within the vortex while the small particles remain at its periphery. Conversely, when the acoustic radiation force is dominant for both types of particles, the distribution pattern is reversed.

HIGHLIGHTS

  • A Lamb wave resonator (LWR) was fabricated and used for particle manipulation, and upon analyzing the forces acting on the particles, two distinct distribution patterns are found.

  • Particles in the acoustic streaming are dominated by different forces depending on their size and the frequency of the LWR.

  • An LWR with a frequency of 370 MHz was used, and this frequency induces a potent acoustic flow in the LWR that is suitable for particle manipulation.

Particle separation is a crucial research area, and in cell biology,1 biomedicine,2 and chemistry,3 particles (microspheres, cells, protein molecules, etc.) must be separated from samples for disease diagnosis4 and other clinical applications. In recent years, various techniques have emerged for manipulating particles either macroscopically or microscopically,5,6 such as immunomagnetic cell separation,7 fluorescence-activated cell sorting,8 and density gradient centrifugation.9 These methods have shown great practicability and potential for particle separation, but they are relatively complex and time-consuming. Compared to conventional particle separation platforms, microfluidic10,11 platforms have the advantages of material savings and cost reduction and are suitable for developing miniaturized equipment. Therefore, it is very important to design microfluidic particle separation platforms, and in recent years several methods based on fluid mechanics,12 acoustics,13–15 electricity,16 and optics17 have shown their potential in practical applications.

Most hydrodynamic methods require customized design of the microfluidic structure. For example, designing a microchannel as an expansion–contraction structure18 allows fluid inertia19 to be used to generate microvortices for particle capture. To achieve higher efficiency, various types of microstructures are used, such as pillar-type,20 weir-type, and cross-flow21 microfiltration structures. However, although these structures can increase the throughput of the system, they can also lead to a lack of flexibility and clogging problems. In comparison, common active separation methods based on for example electrophoresis, dielectrophoresis,22 optics,23 or surface acoustic waves24 are more flexible and accurate, and with good biocompatibility,25,26 acoustic manipulation has become a microscale manipulation technique of great interest at this stage.27 The emergence of acoustic resonators based on MEMS technology has also made them important for miniaturized devices.

Typically, acoustic particle manipulation uses interdigitated transducers28 placed on either side of a microchannel to generate a standing surface acoustic wave;29,30 the pressure field causes the particles in the microchannel to move toward the pressure nodes, and the different force magnitudes cause different particle trajectories. By using this method, Guldiken et al. achieved particle separation in microchannels.31 Also, there are methods based on acoustic streaming that can capture particles or cells by generating high-speed acoustic vortices.32 The vortices generated by acoustic streaming can be quickly and easily adjusted by varying the power and frequency. Furthermore, the phenomenon of particles or cells being subject to intricate acoustic radiation forces within a sound field has always been a subject of extensive scholarly investigation.33,34 In acoustic methods, the particle trajectories in the fluid are determined by the competition between two relatively important forces, i.e., the acoustic radiation force and the drag force,13 and by utilizing the relationship between these two forces, larger particles can be captured selectively in a continuous fluid.35 

Higher resonant frequency indicates stronger acoustic streaming, which is determined by the shorter acoustic decay length at the solid–liquid interface.36 In recent work, we proposed an acoustofluidic method based on a Lamb wave resonator (LWR) to achieve an orbital distribution of particles in an acoustic vortex,37 and we demonstrated the use of LWR-induced acoustic streaming in a microfluidic channel for particle trapping, enrichment, and liquid manipulations for point-of-care applications.38 

Because Lamb waves combine the features of bulk acoustic waves and surface acoustic waves, the resulting acoustic streaming in the LWR occurs in multiple planes. However, the drag force is controlled dynamically by the applied power, so it could also be used for particle separation. Herein, we investigate the flow behaviors of particles of different sizes in LWR-induced acoustic streaming, and we propose using the resulting particle distribution pattern as a means of particle separation. We find that the LWR resonant frequency and the particle diameter determine the dominant forces on the particles. In a mixed solution with two types of particles, when the dominant forces are different (i.e., the acoustic radiation force is dominant for one particle type and the fluid drag force is dominant for the other particle type), the larger particles are pushed to the inner part of the vortex while the smaller particles appear in the outer region of the vortex. When the acoustic radiation force is dominant for both particle types, the particles show a centrifugal-like39 effect in the vortex, i.e., the smaller particles are inside the vortex and the larger particles are at the edge of the vortex. Leveraging the distinct acoustic field distribution of the LWR, the microsphere assemblies will exhibit disparate distribution patterns within the shared acoustic field when subjected to multiple forces. This investigation of particle behavior within acoustic vortices has significant implications for manipulating and separating particles via acoustic streaming.

All reagents were purchased unpurified from commercial suppliers. Monodisperse fluorescent microspheres (polystyrene microspheres, ∼10 mg/ml) with diameters of 1 μm and 2 μm were obtained from Aladdin Industrial Corporation (Shanghai, China). Monodisperse fluorescent microspheres (polystyrene microspheres, ∼10 mg/ml) with diameters of 5 μm and 10 μm were supplied by Baseline Chromatographic Technology Development Centre (Tianjin, China). SU-8 2025 photoresist was purchased from Suzhou Research Materials Microtech Corporation (Suzhou, China). Polydimethylsiloxane (PDMS, Sylgard 184) was purchased from Dow Chemical Corporation (USA).

The LWRs used in this study were fabricated using a conventional MEMS process. The substrate was a silicon wafer that had been cleaned with piranha solution (a mixture of concentrated sulfuric acid and 30% hydrogen peroxide). A cavity was etched on the substrate using reactive ion etching and then filled with phosphosilicate glass (PSG) via chemical vapor deposition, with any excess removed by chemical mechanical polishing; the PSG inside the cavity was a sacrificial layer. Next, a molybdenum film (200 nm) was deposited on the sacrificial layer by magnetron sputtering as the bottom electrode, followed by an aluminum nitride layer (1.5 µm) and a molybdenum film (200 nm, top electrode) by magnetron sputtering. Because the deposited aluminum nitride layer covered the sacrificial layer, the former was etched by potassium hydroxide wet etching and plasma etching to expose the latter for subsequent processing. Finally, a gold film was deposited via physical vapor deposition and then partially removed by lift-off to act as the electrical interconnection. For the fabricated sacrificial layer, diluted hydrofluoric acid was used to etch and release the resonant cavity to form the overhang structure.

The microchannel was fabricated using rapid prototyping and UV photolithography. Specifically, an SU-8 2025 photoresist mold was formed using photomasking and then cured to create the desired PDMS structures. The PDMS microchannel was then punched precisely to serve as an inlet and outlet for fluids.

Applying an AC signal to a fork-finger electrode induces the propagation of Lamb waves toward the perpendicular electrode and their subsequent leakage into the liquid at the boundary, leading to the generation of acoustic streaming. Because Lamb waves are a combination of bulk and surface acoustic waves, the resulting acoustic streaming in the LWR occurs in multiple planes, and this poses challenges for resolving the 3D acoustic vortex in a coordinate system and is suboptimal for comprehensive experimental observation. However, by adjusting the height of the microchannel, the acoustic vortex is limited in the vertical direction and can be considered as existing in the horizontal plane.

Numerical simulations of the 3D geometry of the fluid streamlines near the LWR were carried out using a multi-field finite-element analysis tool (COMSOL Multiphysics ver. 5.6). The simulation parameters included the flow path width W, the flow path height H, the through-flow velocity v, and the power P; we set W = 400 µm, P = 45 mW, v = 1 µl/min, and simulated the fluid streamlines for H = 160 µm, 80 µm, and 40 µm. The simulation framework incorporated four distinct COMSOL Multiphysics modules, i.e., Solid Mechanics, Electrostatics, Pressure Acoustics (Frequency Domain), and Laminar Flow. In the Solid Mechanics module, the solution domains were the electrodes and piezoelectric layer; the upper and lower electrodes were given linear elasticity characterized by metallic molybdenum material properties and assumed to be isotropic, and the inverse piezoelectric effect was applied to the piezoelectric layer. In the Electrostatics module, the only solution domain was the piezoelectric layer, endowed with the piezoelectric effect; the junctions connecting the electrodes and piezoelectric layer were defined as terminals (or grounding points), with terminals and grounding points arranged in an alternating pattern. In the Pressure Acoustics (Frequency Domain) module, the solution domain was the entire fluid domain. Similarly, the entire fluid domain was set as the solution domain in the Laminar Flow module, with appropriate inlet and outlet positions selected. Study 1 in the COMSOL investigated the interfaces between the Solid Mechanics and Electrostatics modules in the frequency domain, with stress, displacement, and related data at resonant frequencies calculated for subsequent analysis, and Study 2 involved steady-state analysis at the interface of the Laminar Flow module. The values of the independent variables were adjusted, and the solutions obtained in Study 2 were used as the values of the non-solving variables. The initial values of the solving variables were dictated by the physical field. Studies 2 and 3 used the MUMPS linear solver for solution derivation, and the ultimate outcomes encompassed the strain distribution in the LWR and the flow field distribution in the fluid domain.

For H = 160 µm [Fig. 1(a)], it is clear from the simulated streamline diagram that the streamlines are distributed along the z axis, and the overall distribution of streamlines within the vortices is relatively chaotic. For H = 80 µm [Fig. 1(b)], the streamline density decreases significantly and the streamlines are clear within the vortices, which can be considered as being essentially vortices in the xy plane. For H = 40 µm [Fig. 1(c)], the streamlines are sparse and there are none in the z direction within the vortices. Based on the simulation results, H = 80 µm was found to be suitable: the vortices are compressed into being flat, but the effect of the acoustic streaming on particle capture is not limited. Figure 1(d) shows an experimental result, where the microfluidic channel is marked by red lines, and green fluorescent microspheres were added to the liquid to visualize the microvortices. The left vortex can be seen clearly in the figure and agrees perfectly with the simulation results; the right vortex is not visible because not enough microspheres entered because of the trapping effect of the LWR on the microspheres.

FIG. 1.

Simulated streamline distributions for H = (a) 160 µm, (b) 80 µm, and (c) 40 µm; (d) experimental result for H = 40 µm.

FIG. 1.

Simulated streamline distributions for H = (a) 160 µm, (b) 80 µm, and (c) 40 µm; (d) experimental result for H = 40 µm.

Close modal
As shown in Fig. 2(a), two main forces are considered for particle manipulation: (i) the travelling-wave acoustic radiation force (FA) caused by the sound pressure gradient, and (ii) the drag force (FD) of the fluid on the particle. For the acoustic radiation force acting on a particle, the relationship between the particle radius (R) and the wavelength (λ) must be considered. Many acoustofluidic studies used Rλ, where FAR6.40 While this condition seems to be ideal for particle separation, it is difficult to manipulate particles in practice because the acoustic radiation force is very small.41 When the particle size is similar to the wavelength of the acoustic wave in the fluid, the particle experiences a significant acoustic radiation force. However, this also corresponds to a region of pronounced nonlinearity, where FR3. In addition, a critical condition arises where the acoustic radiation force breaks the initial orbit of the particles, leading to their displacement. Several studies have offered their own explanations for this critical condition. Skowronek et al. studied the effect of acoustic surface waves of different frequencies on particles of different sizes in a microchannel,42 and they proposed a relationship between the wavenumber and the deflected particles. Overall, whether a particle is deflected under the influence of the acoustic radiation force depends largely on a dimensionless constant κ given by
(1)
where k is the wavenumber, r is the particle radius, and λw is the wavelength of the sound wave in water. When κ < 1.19 ± 0.10, the fluid drag force dominates and the particles follow the flow field without deflection; when κ > 1.39 ± 0.10, the particles are deflected under the influence of the acoustic radiation force. Collins et al.35 verified this and showed that if flow effects can cause particle displacements in the absence of the acoustic radiation force, then deflection and enrichment of particles can still occur for κ < 1.19 ± 0.10. In our study, the resonant frequency of the LWR was ∼370 MHz, and according to Eq. (1), when κ > 1.39, the particle diameter is d > 0.9 µm, meaning that particles in this size range will change their previous trajectories because of the effect of the acoustic radiation force. In what follows, we analyze the fluid drag force and the acoustic radiation force and explain the principles of the distribution pattern.
FIG. 2.

(a) Two Lamb wave resonator (LWR)-based distribution patterns of microsphere. In pattern A, the acoustic radiation force is dominant for one particle motion and the fluid drag force is dominant for the other particle motion, with the large particles migrating toward the center of the vortex. In pattern B, the acoustic radiation force is dominant for both particle motions, with the small particles migrating toward the center of the vortex. (b) LWR observed under a microscope. (c) Schematic side view of LWR.

FIG. 2.

(a) Two Lamb wave resonator (LWR)-based distribution patterns of microsphere. In pattern A, the acoustic radiation force is dominant for one particle motion and the fluid drag force is dominant for the other particle motion, with the large particles migrating toward the center of the vortex. In pattern B, the acoustic radiation force is dominant for both particle motions, with the small particles migrating toward the center of the vortex. (b) LWR observed under a microscope. (c) Schematic side view of LWR.

Close modal
Streaming occurs because of the nonlinear acoustic propagation of a compressional wave through a medium that causes attenuation. As a result, the momentum flux changes and exerts a bulk force on the fluid, and the magnitude of this force can be expressed as43 
(2)
where ρ is the density of the fluid, β is the fluid attenuation coefficient, and U1 is the first-order fluid speed (U1 = ξω), where ξ is the mechanical displacement and ω is the angular frequency. To calculate the body force in the xz plane, the velocity field must be solved for, which is expressed as43 
(3)
where ξ0 is the initial displacement of the substrate, α is the attenuation coefficient of velocity along the interface between the substrate and fluid, and θR is the Rayleigh angle.
An acoustic vortex is generated by the leakage of acoustic waves into the liquid at the edge of the LWR, and the occurrence and amplification of an acoustic vortex caused by acoustic streaming depend largely on the presence of gradients in the acoustic body force. The rapid flow caused by the significant force gradient of the bulk generates symmetrical acoustic vortices on both sides. Subsequently, particles suspended in the flow experience a consistent drag force. For a typical microfluidic device, where the Reynolds number is usually smaller than 1, the drag force caused by the fluid flow on a spherical particle of radius R is
(4)
where U is the relative flow velocity of the fluid and μ is its dynamic viscosity. The force of the fluid can trap the particles in the streaming vortex and increases with the applied power. For small particles, the fluid drag force dominates (compared to the acoustic radiation force). Thus, small particles that are difficult to affect by the acoustic radiation force can often be captured in a sufficiently strong acoustic streaming vortex.
The existence of vibrations perpendicular to the horizontal direction at the surface of the LWR in the liquid leads to the presence of spin waves in the liquid, and their characteristic wavelength in water can be derived as
(5)
According to Eq. (5), the characteristic wavelength is ∼40 nm at one atmosphere and 20 °C. Therefore, the vibration of the LWR can be neglected in the flow and sound-field analysis. As a result, the fluid carrying the particles always passes above the LWR and moves with the acoustic vortex toward the center of the LWR edge, where the direction of acoustic streaming motion is perpendicular to the electrode. The simulated streamlines and the experimental phenomena match well with the theoretical evaluation. Thus, it can be assumed that the particles always enter the vortex from the edge (segment ab in Fig. 3) of the device and start at the center (segment cd in Fig. 3). We then analyze the direction of the acoustic radiation force on the particles located at the edge of the device. From the results of the COMSOL Multiphysics simulations, a phase diagram (Fig. 4) for θ was made along edge ab of the LWR, with θ given by
(6)
FIG. 3.

Decomposition of acoustic radiation force on particle. Segment ab represents the edge of the LWR. Segment cd represents the edge center region, i.e., the particle departure position. One side of the LWR is placed close to the edge of the microchannel.

FIG. 3.

Decomposition of acoustic radiation force on particle. Segment ab represents the edge of the LWR. Segment cd represents the edge center region, i.e., the particle departure position. One side of the LWR is placed close to the edge of the microchannel.

Close modal
FIG. 4.

Phase diagram for characterizing magnitudes of both components of acoustic radiation force.

FIG. 4.

Phase diagram for characterizing magnitudes of both components of acoustic radiation force.

Close modal

The x axis is parallel to the direction of the LWR electrode, and the y axis is perpendicular to the electrode (as shown in Fig. 3). The acoustic radiation force in this coordinate system is further decomposed, where fx and fy are the x and y components of the acoustic radiation force on the particle at this point. In Fig. 3, the x component of the acoustic radiation force pushes the particle toward the center of the vortex, while the y component of the force accelerates the particle along the direction of fluid flow.

Based on the above discussion, we propose the following particle distribution patterns in the LWR acoustic streaming. The particle diameter of 0.9 µm is calculated as the critical condition: for particles with d ≤ 0.9 µm, the fluid drag force dominates and they are captured in the entire vortex; for particles with d > 0.9 µm, the acoustic radiation force dominates and pushes them toward the center of the vortex, keeping them in the inner position as shown by pattern A in Fig. 2. When two types of particles with particle size larger than the critical value are within the liquid simultaneously, the acoustic radiation force is dominant for both types. As mentioned above, the particles always start from the center of the LWR edge. When θ > 45°, the y component of the acoustic radiation force becomes dominant and accelerates the particle in the y direction; because FAR3, the larger particle obtain larger y-axis acceleration and thus enter the orbit of the outer part of the vortex, whereas the small particles are in the inner part of the vortex, as shown by pattern B in Fig. 2.

The following experiments were conducted under conditions in which the motions of two types of particles were governed by the fluid drag force and the acoustic radiation force, respectively. Recognizing that the acoustic vortex generated in the liquid by the LWR operating at a resonant frequency of 370 MHz exhibits limited efficacy in capturing nanoparticles, the experiments used two types of polystyrene microspheres with distinct particle diameters. The first type was green fluorescent polystyrene microspheres with a particle diameter of 764.7 ± 68.8 nm as measured by a Zetasizer Nano ZS90 (Malvern Instruments). These microspheres are close to the critical condition, implying that the fluid drag force dominates their trajectories. The second type was red fluorescent polystyrene microspheres with a particle diameter of 5 µm, surpassing the critical value. It can be inferred that the acoustic radiation force governs their trajectories. According to the theoretical principle that the dominant forces differ, one can anticipate that upon mixing the two particle types in the microfluidic system, the red and green fluorescent microspheres will reside in the inner and outer parts of the vortex, respectively, under the influence of the LWR.

The LWR generates symmetrically distributed acoustic vortices at the four corners in a liquid environment; however, too many vortices are not ideal for experimental observation, so only two vortices on one side were selected for observation. To suppress the generation of vortices on the other side, one side of the LWR was placed close to the edge of the microchannel as shown in Fig. 3, and thus only one pair of symmetrical vortices on the same side existed in the microchannel. At the beginning of an experiment, the fluorescent microspheres were pumped into the microchannel at a stable rate of 1 µl/min from the right side via a syringe pump. After confirming the absence of air bubbles in the microchannel, the LWR was excited at 50 mW, and under its action the two types of fluorescent microspheres swirled rapidly into the vortex near the inlet side. After capturing a certain number of microspheres, Fig. 5 shows clearly that the inner zone of the vortex was red and the outer zone was green, which is consistent with the results of the theoretical analysis.

FIG. 5.

Distribution of particle orbits observed under a fluorescence microscope; the large particles are inside the vortex and the small particles are at its periphery.

FIG. 5.

Distribution of particle orbits observed under a fluorescence microscope; the large particles are inside the vortex and the small particles are at its periphery.

Close modal

However, when both particle motions were dominated by the acoustic radiation force, the experimental result was totally different. Again, two types of fluorescent polystyrene microspheres were used: green ones with a diameter of 2 µm and red ones with a diameter of 5 µm, both exceeding the critical value. Consequently, the trajectories of both microsphere types are influenced predominantly by the acoustic radiation force. Given that the acoustic radiation force exhibits a cubic relationship with the particle radius, it grows exponentially with increasing particle size. The theoretical analysis predicts that the larger particles will experience greater acceleration in the y direction, leading them to reside in the outer region of the vortex.

Solutions containing the 2-µm and 5-µm fluorescent microspheres were pumped uniformly into the microchannel from the right side at a rate of 1 µl/min using a syringe pump. Under an excitation of 50 mW, the LWR captured both microspheres in a vortex. After capturing sufficiently many microspheres, Fig. 6(a) shows clearly that the inner region of the vortex was green and the outer region was red, which is consistent with the theoretical analysis. Also, COMSOL Multiphysics (ver. 5.6) was used to simulate the particle trajectories, with the Particle Tracing for Fluid Flow module added to the previous simulation to simulate the trajectories of particles of different sizes. Figure 6(b) shows the simulation results, where the red particle is approximately twice the size of the black particle. The simulation reveals that the larger particle is situated farther from the vortex center than is the smaller particle, aligning with the experimental findings presented in Fig. 6(a). Also, unlike the results in Fig. 5, the microspheres in Fig. 6(a) do not fill the whole vortex and are closer to the vortex center. This can be explained by the effect of the x component of the acoustic radiation force, which pushes the particles toward the vortex center along the x direction.

FIG. 6.

(a) Distribution of particle orbits observed under a fluorescence microscope; the small particles (2 µm, green) are inside the vortex and the large particles (5 µm, red) are at its periphery. (b) COMSOL Multiphysics simulation results, where the red particle is about twice the size of the black particle; the particle trajectories differ under the action of the LWR, with the larger particle at the periphery of the vortex.

FIG. 6.

(a) Distribution of particle orbits observed under a fluorescence microscope; the small particles (2 µm, green) are inside the vortex and the large particles (5 µm, red) are at its periphery. (b) COMSOL Multiphysics simulation results, where the red particle is about twice the size of the black particle; the particle trajectories differ under the action of the LWR, with the larger particle at the periphery of the vortex.

Close modal

Presented herein was an analysis of the forces acting on particles within an LWR acoustic vortex, revealing two distinct particle distribution patterns. The combination of radiation force and drag force resulting from acoustic streaming was used to manipulate particles. At a specific frequency (370 MHz), the acoustic radiation force influenced the motion of larger particles, guiding them toward the inner zone of the vortex. The acoustic streaming propelled smaller particles toward the periphery because of the stronger influence of the drag force on smaller particles. When the acoustic radiation force was dominant for both types of particles in the liquid, they exhibited a centrifugal-like motion within the vortex, with the larger particles directed toward the periphery region while the smaller particles accumulated in the center of the vortex. The experimental results show that acoustic actuation techniques based on LWRs can be used in microfluidic systems to separate microspheres and even cells.

The authors gratefully acknowledge the financial support of the National Natural Science Foundation of China (Grant No. 62174119), the 111 Project (Grant No. B07014), and the Foundation for Talent Scientists of Nanchang Institute for Microtechnology of Tianjin University. Thanks go to Wenlan Guo, Chen Sun, Bohua Liu, and Chongling Sun for their help with device fabrication.

The authors have no conflicts to disclose.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

1.
Chen
J
,
Li
J
,
Sun
Y
.
Microfluidic approaches for cancer cell detection, characterization, and separation
.
Lab Chip
2012
;
12
(
10
):
1753
.
2.
Colter
DC
,
Sekiya
I
,
Prockop
DJ
.
Identification of a subpopulation of rapidly self-renewing and multipotential adult stem cells in colonies of human marrow stromal cells
.
Proc Natl Acad Sci U S A
2001
;
98
(
14
):
7841
7845
.
3.
Sajeesh
P
,
Sen
AK
.
Particle separation and sorting in microfluidic devices: A review
.
Microfluid Nanofluid
2014
;
17
(
1
):
1
52
.
4.
Alix-Panabières
C
,
Pantel
K
.
Circulating tumor cells: Liquid biopsy of cancer
.
Clin Chem
2013
;
59
(
1
):
110
118
.
5.
Zhao
S
,
Wu
M
,
Yang
S
, et al.
A disposable acoustofluidic chip for nano/microparticle separation using unidirectional acoustic transducers
.
Lab Chip
2020
;
20
(
7
):
1298
1308
.
6.
Antfolk
M
,
Laurell
T
.
Continuous flow microfluidic separation and processing of rare cells and bioparticles found in blood—A review
.
Anal Chim Acta
2017
;
965
:
9
35
.
7.
Li
F
,
Li
F
,
Luo
D
,
Lai
W
,
Xiong
Y
,
Xu
H
.
Biotin-exposure-based immunomagnetic separation coupled with nucleic acid lateral flow biosensor for visibly detecting viable Listeria monocytogenes
.
Anal Chim Acta
2018
;
1017
:
48
56
.
8.
Malatesta
P
,
Hartfuss
E
,
Götz
M
.
Isolation of radial glial cells by fluorescent-activated cell sorting reveals a neuronal lineage
.
Development
2000
;
127
(
24
):
5253
5263
.
9.
Li
P
,
Kumar
A
,
Ma
J
,
Kuang
Y
,
Luo
L
,
Sun
X
.
Density gradient ultracentrifugation for colloidal nanostructures separation and investigation
.
Sci Bull
2018
;
63
(
10
):
645
662
.
10.
Choi
S
,
Goryll
M
,
Sin
LYM
,
Wong
PK
,
Chae
J
.
Microfluidic-based biosensors toward point-of-care detection of nucleic acids and proteins
.
Microfluid Nanofluid
2011
;
10
(
2
):
231
247
.
11.
Ng
AHC
,
Uddayasankar
U
,
Wheeler
AR
.
Immunoassays in microfluidic systems
.
Anal Bioanal Chem
2010
;
397
(
3
):
991
1007
.
12.
Zhang
S
,
Wang
Y
,
Onck
P
,
den Toonder
J
.
A concise review of microfluidic particle manipulation methods
.
Microfluid Nanofluid
2020
;
24
(
4
):
24
.
13.
Destgeer
G
,
Sung
HJ
.
Recent advances in microfluidic actuation and micro-object manipulation via surface acoustic waves
.
Lab Chip
2015
;
15
(
13
):
2722
2738
.
14.
Laurell
T
,
Petersson
F
,
Nilsson
A
.
Chip integrated strategies for acoustic separation and manipulation of cells and particles
.
Chem Soc Rev
2007
;
36
(
3
):
492
506
.
15.
Nam
J
,
Lim
H
,
Kim
C
,
Yoon Kang
J
,
Shin
S
.
Density-dependent separation of encapsulated cells in a microfluidic channel by using a standing surface acoustic wave
.
Biomicrofluidics
2012
;
6
(
2
):
024120
.
16.
Oh
J
,
Hart
R
,
Capurro
J
,
H. M.
Noh
.
Comprehensive analysis of particle motion under non-uniform AC electric fields in a microchannel
.
Lab Chip
2009
;
9
(
1
):
62
78
.
17.
Saleh
AAE
,
Dionne
JA
.
Toward efficient optical trapping of sub-10-nm particles with coaxial plasmonic apertures
.
Nano Lett
2012
;
12
(
11
):
5581
5586
.
18.
Sollier
E
,
Go
DE
,
Che
J
, et al.
Size-selective collection of circulating tumor cells using Vortex technology
.
Lab Chip
2014
;
14
(
1
):
63
77
.
19.
Martel
JM
,
Toner
M
.
Inertial focusing in microfluidics
.
Annu Rev Biomed Eng
2014
;
16
(
1
):
371
396
.
20.
Alvankarian
J
,
Bahadorimehr
A
,
Yeop Majlis
B
.
A pillar-based microfilter for isolation of white blood cells on elastomeric substrate
.
Biomicrofluidics
2013
;
7
(
1
):
014102
.
21.
Al-Faqheri
W
,
Thio
THG
,
Qasaimeh
MA
,
Dietzel
A
,
Madou
M
,
Al-Halhouli
A
.
Particle/cell separation on microfluidic platforms based on centrifugation effect: A review
.
Microfluid Nanofluid
2017
;
21
(
6
):
102
.
22.
Hu
X
,
Bessette
PH
,
Qian
J
,
Meinhart
CD
,
Daugherty
PS
,
Soh
HT
.
Marker-specific sorting of rare cells using dielectrophoresis
.
Proc Natl Acad Sci U S A
2005
;
102
(
44
):
15757
15761
.
23.
Dholakia
K
,
Reece
P
,
Gu
M
.
Optical micromanipulation
.
Chem Soc Rev
2008
;
37
(
1
):
42
55
.
24.
Ding
X
,
Li
P
,
Lin
SCS
, et al.
Surface acoustic wave microfluidics
.
Lab Chip
2013
;
13
(
18
):
3626
.
25.
Collins
DJ
,
Morahan
B
,
Garcia-Bustos
J
,
Doerig
C
,
Plebanski
M
,
Neild
A
.
Two-dimensional single-cell patterning with one cell per well driven by surface acoustic waves
.
Nat Commun
2015
;
6
(
1
):
8686
.
26.
Guo
F
,
Li
P
,
French
JB
, et al.
Controlling cell–cell interactions using surface acoustic waves
.
Proc Natl Acad Sci U S A
2015
;
112
(
1
):
43
48
.
27.
Wu
H
,
Tang
Z
,
You
R
, et al.
Manipulations of micro/nanoparticles using gigahertz acoustic streaming tweezers
.
Nanotechnol Precis Eng
2022
;
5
(
2
):
023001
.
28.
Song
S
,
Wang
Q
,
Zhou
J
,
Riaud
A
.
Design of interdigitated transducers for acoustofluidic applications
.
Nanotechnol Precis Eng
2022
;
5
(
3
):
035001
.
29.
Shi
J
,
Ahmed
D
,
Mao
X
,
Lin
SCS
,
Lawit
A
,
Huang
TJ
.
Acoustic tweezers: Patterning cells and microparticles using standing surface acoustic waves (SSAW)
.
Lab Chip
2009
;
9
(
20
):
2890
.
30.
Shi
J
,
Huang
H
,
Stratton
Z
,
Huang
Y
,
Huang
TJ
.
Continuous particle separation in a microfluidic channel via standing surface acoustic waves (SSAW)
.
Lab Chip
2009
;
9
(
23
):
3354
3359
.
31.
Guldiken
R
,
Jo
MC
,
Gallant
ND
,
Demirci
U
,
Zhe
J
.
Sheathless size-based acoustic particle separation
.
Sensors
2012
;
12
(
1
):
905
922
.
32.
Collins
DJ
,
Ma
Z
,
Ai
Y
.
Highly localized acoustic streaming and size-selective submicrometer particle concentration using high frequency microscale focused acoustic fields
.
Anal Chem
2016
;
88
(
10
):
5513
5522
.
33.
Li
S
,
Zhang
X
.
Three-dimensional acoustic radiation force of a eukaryotic cell arbitrarily positioned in a Gaussian beam
.
Nanotechnol Precis Eng
2023
;
6
(
1
):
013005
.
34.
Liu
X
,
Deng
Z
,
Ma
L
,
Liu
X
.
Acoustic radiation force on a rigid cylinder between two impedance boundaries in a viscous fluid
.
Nanotechnol Precis Eng
2022
;
5
(
3
):
033003
.
35.
Collins
DJ
,
Khoo
BL
,
Ma
Z
, et al.
Selective particle and cell capture in a continuous flow using micro-vortex acoustic streaming
.
Lab Chip
2017
;
17
(
10
):
1769
1777
.
36.
Wei
W
,
Wang
Y
,
Wang
Z
,
Duan
X
.
Microscale acoustic streaming for biomedical and bioanalytical applications
.
TrAC Trends Anal Chem
2023
;
160
:
116958
.
37.
Chen
X
,
Ning
Y
,
Pan
S
, et al.
Mixing during trapping enabled a continuous-flow microfluidic smartphone immunoassay using acoustic streaming
.
ACS Sens
2021
;
6
(
6
):
2386
2394
.
38.
Chen
X
,
Zhang
C
,
Liu
B
,
Chang
Y
,
Pang
W
,
Duan
X
.
A self-contained acoustofluidic platform for biomarker detection
.
Lab Chip
2022
;
22
(
20
):
3817
3826
.
39.
Madou
M
,
Zoval
J
,
Jia
G
,
Kido
H
,
Kim
J
,
Kim
N
.
Lab on a CD
.
Annu Rev Biomed Eng
2006
;
8
(
1
):
601
628
.
40.
Hasegawa
T
,
Yosioka
K
.
Acoustic radiation force on fused silica spheres, and intensity determination
.
J Acoust Soc Am
1975
;
58
(
3
):
581
585
.
41.
Collins
DJ
,
Ma
Z
,
Han
J
,
Ai
Y
.
Continuous micro-vortex-based nanoparticle manipulation via focused surface acoustic waves
.
Lab Chip
2017
;
17
(
1
):
91
103
.
42.
Skowronek
V
,
Rambach
RW
,
Schmid
L
,
Haase
K
,
Franke
T
.
Particle deflection in a poly(dimethylsiloxane) microchannel using a propagating surface acoustic wave: Size and frequency dependence
.
Anal Chem
2013
;
85
(
20
):
9955
9959
.
43.
Nyborg
WL
.
Acoustic streaming due to attenuated plane waves
.
J Acoust Soc Am
1953
;
25
(
1
):
68
75
.

Chuanchao Zhang received a B.S. degree in 2020 from Tianjin University in China, where he is currently working toward an M.S. degree in instrument science and technology. His research interests are in acoustofluidics and its applications.

Xian Chen is an assistant researcher at the National Institute of Metrology. She received a Ph.D. degree in instrument science and technology from Tianjin University. Her research interests are in acoustofluidic manipulation and biochemical detection.

Wei Wei received an M.S. degree in 2022 from Tianjin University, where he is currently working toward a Ph.D. degree. His research interests are in MEMS devices and acoustofluidics, especially for the manipulation of nanoparticles and bio-nanoparticles.

Xuejiao Chen received a B.S. degree from Hebei University of Technology in China. Currently, she is an engineer in the School of Precision Instrument and Optoelectronics Engineering at Tianjin University. Her research interests are in MEMS processes.

Li Quanning is an experimentalist and engineer in the School of Precision Instruments and Optoelectronics Engineering and the State Key Laboratory of Precision Measuring Technology and Instruments at Tianjin University. He is primarily involved in laboratory operation and administration for micro- and nano-electromechanics and semiconductors, as well as the development of associated equipment.

Xuexin Duan is a professor at Tianjin University. He received a Ph.D. degree from the University of Twente in the Netherlands. After postdoctoral studies at Yale University, he moved to Tianjin University. His research interests are in MEMS/NEMS devices, microsystems, and microfluidics and their interfaces with chemistry, biology, medicine, and environmental science.