The present invention generally relates to the field of multi-input fluidics. In particular, the present invention is directed to 3D chemical pattern and flow control in 2D fluidics devices.
The ability to specify or control spatiotemporal chemical environments is critical for controlling diverse processes from chemical synthesis to cellular responses. When established by microfluidics methods, this chemical control has largely been limited to two dimensions and by the need for using complex approaches. The ability to create three-dimensional (3D) chemical patterns is becoming more critical as microfluidics is beginning to have novel applications at larger millifluidic scales including model organism behavior, embryonic development and optofluidics.
Conventional spatiotemporal manipulation of 3D chemical patterns requires highly integrated microdevices that have proven successful in diverse fields ranging from biological response to chemical interface applications. Microfabrication approaches have enabled high-throughput microcomponents (e.g., sensors, mixers, valves, pumps) to be coupled together into multi-layer microfluidic devices. However, miniaturizing and integrating a diversity of complex elements can be technically challenging, time consuming, and expensive.
In one implementation, the present disclosure is directed to a method including directing multiple fluid streams into a main fluidic channel so as to form a combined-flow interface; and controlling the relative flows among the multiple fluid streams in a manner that tunes the combined flow interface to a desired first three-dimensional (3D) pattern.
In another implementation, the present disclosure is directed to a system including a fluidic device that includes a main fluidic channel and multiple inlets fluidly communicating with the main fluidic channel; a fluid delivery system in fluid operatively configured to provide multiple fluid streams, in a one-to-one manner, to the multiple inlets so that the fluid streams form a flow interface within the main fluidic channel when the system is operating; and a 3D-pattern controller designed and configured to control the fluid delivery system in a manner that tunes the flow interface to a desired first 3D-pattern.
For the purpose of illustrating the invention, the drawings show aspects of one or more embodiments of the invention. However, it should be understood that the present invention is not limited to the precise arrangements and instrumentalities shown in the drawings, wherein:
In one aspect, the present disclosure is directed to methods and systems that utilize a simple two-dimensional (2D) fluidics approach to forming desired chemical patterns and levels of focus using multilane fluidic devices. These systems and methods are applicable to a wide variety of fluidics and other applications, such as applications in the transition realm from micron to millimeter scale. As described below, systems and methods of the present invention can be used to produce non-linear three-dimensional (3D) combined-flow-interface patterns by manipulating critical parameters within a multilane fluidic device, such as Reynolds number, inlet geometry, and channel height. The methods disclosed herein are versatile and can be applied to create and control various 3D combined-flow-interface patterns with a 2D system. Various aspects of the present invention are particularly relevant, though not exclusively, to fluidic applications that are larger in size than traditional microfluidics, such as fluidic applications in the range of hundreds of microns to multiple millimeters, and have a variety of flow conditions. Areas of application of the present invention include, but are not limited to, flow cytometry, and studies of embryonic development, chemical reactions, and optical imaging.
Turning now to the drawings,
Exemplary system 100 also includes a fluid-delivery system 116 designed and configured to deliver at least two differing fluids/fluid compositions to main fluidic channel 108 via fluid-stream inlets 112. Fluid-delivery system 116 can include any components (not shown) suitable for providing the fluid streams to main fluidic channel 108 with a highly controlled flow rate. Examples of such components include gas-pressurized reservoirs, one or more pressurized gas sources, one or more fluid resistor modules, fluid pumps, etc. Those skilled in the art will readily understand how to select suitable components for fluid-delivery system 116 after reading this entire disclosure. One example of a suitable fluid-delivery system is described below in connection with
The confluence of the multiple fluid streams flowing into main fluidic channel 108 via inlets 112 from fluid-delivery system 116 results in the formation of a combined-flow interface 120 among the flows. As described below in detail, when controlled in accordance with the present invention, combined-flow interface 120 can be characterized as having a 3D-pattern that can be changed as desired to suit a particular application. The 3D-pattern of combined-flow interface 120 can be controlled to be highly concentrated and focused (such as in the diamond pattern of
As those skilled in the art will readily understand, 3D-pattern controller 124 can be implemented in any suitable hardware and/or software. Examples of hardware include general purpose computers/microprocessors, programmable logic controllers, application-specific integrated circuits, etc. Examples of software include firmware, general-purpose fluidics software programs, specific-purpose fluidics software programs, etc. In addition to being programmed to achieve a particular pattern and amount of focus, in some embodiments 3D-pattern controller 124 can be designed and configured to change the pattern and amount of focus among a plurality of predetermined patterns and amounts of focus. With some embodiments of system 100, 3D-pattern controller 124 can achieve the desired results alone, while in other embodiments, a user might have to select an appropriate multilane fluidic device for device 104. This is so because, as described below in detail, pattern and focusing results can be affected by a variety of factors concerning the configuration of multilane fluidic device 104, including the height of main fluidic channel 108, the input flow angles of inlets 112, and the distances between adjacent sets of the inlets. The switching-out of one instantiation of multilane fluidic device 104 for another can be readily accomplished using modular fluidic devices, the fabrication of which is well known in the art. Indeed, the configuration (e.g., main channel height, inlet spacing, and inlet angles) of the instantiation of multilane fluidic device 104 in use at a particular time can be an input to 3D-pattern controller 124 as parameters in the control scheme that allows the controller to properly control fluid-delivery system 116 for the desired shape. Other user-selectable parameters for the control scheme of 3D-pattern controller 124 might include, for example, the types of fluids used and their temperatures, since their densities and viscosities can affect the pattern and amount of focus of combined-flow interface 120. In one example, the control scheme includes one or more look-up tables that contain settings for controlling fluid-delivery system 116 based on system parameters input by a user.
In the example shown, 3D-pattern controller 124 implements a control scheme that utilizes information from one or more sensors 128, each in operative relation to main fluidic channel 108 and/or the fluids flowing therein during operation, to control fluid-delivery system 116 in a manner that achieves the desired pattern and amount of focus of flow interface 120. In one example, sensor 128 is an imaging sensor (optical or other) that obtains images of (or images representing) combined-flow interface 120. When sensor 128 is an imaging sensor, the control scheme of 3D-pattern controller 124 can include stored images of selected pattern/focus combinations and image-analysis and control algorithms that compare a current image to one or more of the stored images and determine any adjustments that might need to be made to fluid-delivery system 116 to achieve the desired pattern and amount of focus of combined-flow interface 120. Other embodiments may utilize an imaging sensor in another way, such as to provide visual information to a human user, who then can make adjustments to fluid-delivery system 116 using any of a variety of user-input controls, such as soft controls of a graphical user interface of 3D-pattern controller 124 or hard controls of the controller and/or any of the pieces of equipment of the fluid delivery system.
Three-Lane Fluidic Device Example
Experimental Setup
Referring again to
Experimental Methods
To demonstrate the utility of methods and systems disclosed herein, various instantiations of fluidic system 200 of
Microfluidic resistor modules 234, 236, and 238 and each instantiation of fluidic network module 202 were fabricated from polydimethylsiloxane (PDMS) (SYLGARD® 184, Dow Corning, Midland, Mich.) using soft-lithography techniques. Briefly, two dimensional patterns of modular microfluidic channels were transferred to a high-resolution transparency. Fabrication of master templates for PDMS molds was performed by patterning desired-height layers of negative SU-8 photoresist (MicroChem Corp., Newton, Mass.) on silicon wafers. After exposure to UV light and chemical developing, the wafers were used as the master templates to create the PDMS microchannels. Treatment of both surfaces of the PDMS channels and thin glass coverslides was with oxygen plasma.
Aqueous fluorescent beads [FLUOSPHERES® (0.2 μm) red fluorescent (580/605), Introgen, Carlsbad, Calif.] were suspended in reservoir 228 for first fluid 224 delivered to central inlet 208. Single planar images and z-series stacks of planar images within main fluidic channel 206 were collected using confocal laser scanning head 400 (
Numerical simulations of the flow field were made using the commercial CFD solver, FLUENT® (ANSYS Inc., Lebanon, N.H.) in order to solve the non-linear Navier-Stokes equations governing the conservation of mass and momentum within the fluid elements. Advection-diffusion equations were also solved to predict the flow field and the user-defined scalar species. The diffusion coefficients for the scalar species were specified to be 2.27e-10 m2/s corresponding to that of water at approximately room temperature. The experiments assumed a Newtonian fluid having the properties of water at room temperature and no-slip boundary conditions on all the walls. The 3D computational domain was built using a structured hexahedral mesh with most of the cells having sides of 15 μm and four boundary layers (5˜10 μm) near the walls of the respective flow channels. Mesh independence was verified by examining higher density meshes. The SIMPLE algorithm was implemented for pressure-velocity coupling and all spatial discretizations were performed using the Second Order Upwind scheme. The convergence limit was set so that velocities converged within 0.1% and mass fractions for the central stream species reached their asymptotic values within 0.01%.
During the experiments, fluidic system 200 used compressed air as the pressure source, and the compressed air provided a constant pressure to each of the three reservoirs 228, 230, and 232. Reservoir 228 held a diluted suspension of fluorescent beads (FLUOSPHERES® (0.2 μm), Introgen, Carlsbad, Calif.) (i.e., first fluid 224), and the other two reservoirs 230 and 232 held de-ionized water (i.e., second fluid 226). During the experiments, fluids 224 and 226 from the three reservoirs 228, 230, and 232 passed through the specified fluidic resistor modules 234, 236, and 238 before entering the various instantiations of main fluidic channel 206 as streams 214, 216, and 218. The flow of the three fluid streams 214, 216, and 218 converged in main fluidic channel 206 and formed a microfluidic interface among the streams.
During the experiments, the pressure of the compressed air was controlled to control the flow rates of first and second fluids 224 and 226 according to the following Equation 1:
wherein Q is the flow rate, ΔP is the pressure drop in the network, and R is the fluidic resistance at each inlet. The following Equation 2 shows how the fluidic resistance R relates to the dimensions of main fluidic channel 206.
wherein μ represents the fluid's kinetic viscosity; w, h, and L represent the channel width, height, and length, respectively. This flow rate was used to approximate the Reynolds number (Re) using the following Equation 3.
wherein ρ represents the fluid's density; U represents the fluid's average velocity.
To be able to have control over the resulting 3D combined-flow interface patterns, a novel phenomenon that occurs in the middle range of Reynolds numbers is exploited. In the context of the size regime of the experimental instantiations of main fluidic channel 206, this middle range is ˜10<Re<˜30. However, for other size regimes, the middle range is different. For example, for larger channel size regimes, middle ranges extending up to Re=100 may be appropriate. The 3D-pattern response is important as it is outside the range for typical microfluidics showing linear and vertical fluidic interface patterns (see, e.g.,
Experimental Results
Control over the 3D combined-flow-interface patterns is achieved in this example by manipulating three parameters: Reynolds number, channel height, and inlet geometry. Table 600 of
When the Reynolds number increases to 25, the pattern of central stream 212 becomes intensively curved, and 3D, at the upper and bottom walls in the T- and Y-inlet geometries, as shown in
The shape type depends on inlet geometry, (e.g. the amount of fluid momentum introduced from the side inlet channels). The significant pattern changes are even more obvious in the Y-inlet geometry as the pattern appears to be partially floating at Re˜15 (
One reason that this considerable transition occurs is due to the flow momentum in the Y-inlet geometry, which has characteristics of the flow with both the T- and P-inlet geometries, the Y-inlet geometry is an intermediate between the T- and P-inlet geometry. In addition, the flow patterns shaping the vortex in the Y-inlet geometry appear similar to the patterns in the P-inlet geometry in the entrance region before the fluid flow reaches the entrance length. In downstream regions, they tend to follow the patterns in the T-inlet geometry. For example,
When the Reynolds number reaches 30 in the T-inlet geometry, central stream 214 and its interface with lateral streams 216 and 218 no longer exist. Instead, the combined-flow-interface pattern was found at the top and bottom of main fluidic channel 206 as well as having moved to the other side, creating secondary flow from increased inertial forces of the flowing fluid. This secondary flow is not observed in the Y- and P-inlet geometries at the same Reynolds number, but complicated secondary flow induces complex mixing patterns at higher Reynolds number (˜70 in this size regime).
A second parameter manipulated in accordance with the present invention in the experiments with fluidic system 200 to achieve desired 3D combined-flow-interface patterns was the channel height in the microfluidic network. The effect of alteration of the pattern related to channel height (100 μm, 200 μm, and 300 μm) was illustrated in
The sensitivities of the combined-flow-interface pattern to channel height are shown in graphs 708, 712, and 716 of
The need for fluidic channels with sizes that are larger than traditional microfluidic channels in the range of hundreds of microns to single millimeters has been considered for exploring novel fields such as model organism behavior, embryonic development, multicellular stimulation, mixing layers, and chemical fabrication approaches. The sensitivity of combined-flow-interface patterns to the channel height described here (
The simple 2D approach of the present example for scaling up fluidics using microfluidic modules and autonomous flow control is more versatile and less expensive for 3D combined-flow-interface patterning than other techniques that may or may not be able to generate the chemical pattern profiles that are achievable through the use of the methods of the present invention. These prior art methods include complex and multi-layered microfluidic architectures. Through using 2D resistor modules (with the same cross section), the control of the fluidic network can be implemented by simply calculating the flow rate and pressure relations. They are thus independent of the main channel, which allows a tremendous amount of flexibility for frequent redesigned for various applications and experimental specifications.
The ability to not only create but also alter and focus the 3D-patterns was also demonstrated in the experiments. The patterns are essentially inverted in some cases. The combined flow interface patterns at low Reynolds number (˜10 for the current size regime) in T- and P-inlet geometries (renderings 800 and 804 of
The tornado-like pattern 824 of central stream 214 in the T-inlet geometry (
Five-Lane Fluidic Device Example
Experimental Setup
System 900 also includes a fluid-delivery system 928 having three reservoirs 932, 936, and 940 (also referred to below in the experimental methods and results section as reservoirs C (central), A, and B, respectively). Reservoir 932 (C) is the source of fluid stream 916, and reservoirs 936 (A) and 940 (B) provide their respective fluids to a fluid channel network 944 containing a number of valves 948 (also labeled and referred to below individually as V1 through V4). Fluid-delivery system 928 also has a pressure source 952 (here a nitrogen gas source) fluidly connected to each of reservoirs 932, 936, and 940 to provide the driving pressure that drives the flow of streams 916 through 924. Fluid-delivery system 928 also has three fluidic resistor modules 956 connected downstream of reservoirs 932, 936, and 940. In the following description of the experimental methods and results section, fluidic resistor modules 956 are individually referred to as modules RIA, RIB, and RIC. In addition, this instantiation of fluid-delivery system 928 include two like flow-control mechanisms 960 that control the mass flow rates of the fluids from reservoirs 936 (A) and 940 (B). A 3D-pattern controller 964 is provided for controlling flow-control mechanism 960. Further details of the components of fluidic system 900 are described immediately below.
Three-dimensional pattern controller 964 includes closed-loop control systems 964A and 964B that regulated the pressure at inlets A1, A2, B1, and B2 to main fluidic channel 908. Control systems 964A and 964B were integrated with a PIC MICRO® 18F4620 micro-controller (Microchip Technology Inc., Farmington Hills, Mich.) at a sampling rate of 125 Hz. The sampling rate was determined by the maximum response time (8 milliseconds) of the piezoelectric gauge pressure sensor (ASDX series, Honeywell International Inc., Morristown, N.J.). This micro-controller sent pulse-width-modulation (PWM) signals and regulated the angle of the direct-current (DC) electric motor through an encoder with a resolution of 512 counts per revolution.
Microfluidic resistor modules RIA, RIB, and RIC of differing resistances were designed to determine the width of the central fluid stream in the main microfluidic channel as well as set the dynamic range of the controllable pressure. The main microfluidic channel had five inlet channels leading to inlets 912, each having a rectangular configuration of dimensions 200 mm wide, 300 mm high, and 5 mm long. These inlet channels converged to form main fluidic channel 908 of rectangular configuration with dimensions 1.5 mm (1500 microns) wide, 300 microns (0.3 mm) high, and 10 mm long. Microfluidic resistance modules RIA, RIB, and RIC and main fluidic channel 908 were fabricated with PDMS (SYLGARD 184, Dow Corning, Midland, Mich.) using standard soft-lithography techniques.
Fluorescent beads [FluoSpheres (0.2 mm) red fluorescent (580/605), Introgen, Carlsbad, Calif.] were suspended in deionized water and then introduced into reservoir 932 for central inlet C. Single plane images and z-series stacks of image planes within the microfluidic channel were captured using a confocal laser scanning head (not shown, but located beneath main fluidic channel 908) (SP5, Leica Microsystems, Bannockburn, Ill.) mounted on an inverted compound microscope (DMI6000, Leica Microsystems), with image acquisition software (LAS AF, Leica Microsystems). Maximum projection and re-slicing of z-series stacks and collection of intensity profiles were completed using IMAGEJ® (v.1.38, Wayne Rasband, NIH) and MATLAB® (The Math Works, Natick, Mass.) software.
Numerical simulations of the flow field were conducted using the commercial CFI) solver, FLUENT® (ANSYS Inc., Lebanon, N.H.) in order to solve the non-linear Navier—Stokes equations governing the conservation of mass and momentum within the fluid elements. Advection—diffusion equations were also solved to predict the flow field and the user-defined scalar species. The diffusion coefficients for the scalar species used in the simulations were assumed to be 2.2×10−1 m2s−1 corresponding to that of water at approximately room temperature. A Newtonian fluid having the properties of water at room temperature and no-slip boundary conditions on all the walls was assumed. Mesh independence was verified by examining higher density meshes. The SIMPLE algorithm was implemented for pressure-velocity coupling, and all spatial discretizations were performed using the Second Order Upwind scheme. Flow rates were specified at all inlets 912 that were correlated to the applied inlet pressures in the experiments along with using atmospheric pressure at the outlet of main fluidic channel 908. Convergence limits were set so that velocities converged within 0.1% and mass fractions for the central stream species reached their asymptotic values within 0.01%.
Experimental Methods and Results
Three-dimensional combined-flow-interface patterns were first switched in main-fluidic-channel-based single 2D microfluidic platform by controlling the pressure at the microchannel inlets 912. The implemented approach dynamically switched between different 3D-patterns, such as the focused diamond pattern 1000 of
Fluidic system 900 utilized compressed nitrogen gas as pressure source 952, one reservoir C with a diluted suspension of fluorescent beads, the other two reservoirs A and B with deionized water, three microfluidic resistor modules RIA, RIB, and RIC, and a 5-lane converging microfluidic module 904. Fluidic resistor modules RIA, RIB, and RIC determined the dynamic range of the pressure in fluid streams 916 through 924 from three reservoirs A, B, and C and set the width of the central stream (C) in the main microfluidic channel.
As mentioned above, the two identical pressure modulation mechanisms 960 located correspondingly respectively between reservoirs A and B and the main fluidic channel 908 dynamically controlled the pressures at the microfluidic inlets 912. In this embodiment, mechanisms 960 employed a variable fluidic resistance and a variable-volume reservoir, which were mechanically coupled by a 4-bar linkage driven by a DC motor. An example of such mechanisms is described in U.S. patent application Ser. No. 12/841,743 filed on Jul. 22, 2010, and titled “Fluid-Pressure Regulator And Related Methods And System,” which is incorporated herein for its disclosure of same. Four valves 948 provided the ability to modify the route of fluid flow from reservoirs A and B to channel inlets (A1, A2, B1, and B2) with reservoir A being correlated to A1 and A2 and reservoir B in
We next demonstrated our ability to controllably focus and defocus 3D combined-flow-interface patterns through precisely controlling the inlet pressure “in phase” (i.e. applying the same pressure levels to sets of inlets) and then altering the same sets to be “out of phase” (i.e. through simultaneously decreasing versus increasing pressure levels in the sets of inlets in a stepwise methodology). The sets of inlets were A1 and B1 (denoted as “parallel inlets”) and A2 and B2 (denoted as “perpendicular inlets”). By altering the inlet pressures in a step-wise manner as illustrated in combined graph 1100 of
We next quantified the capacity to focus or defocus in the xy plane at z=1.3 mm using a 2D Gaussian function as a spatial filter. The approach involved first multiplying the mass fraction of the fluorescent intensity by the 2D Gaussian function and then integrating over the channel cross-section (Equations 4 and 5, below). The filtering approaches using 2D Gaussian functions have been used previously in a variety of applications, but to our knowledge not for determining the focus degree of 3D combined-flow-interface patterns in micro-fluidic systems.
The focus index Φ represents the degree of the focused pattern; f, is the focus distribution radius; ε represents the eccentricity of distribution in the 2D Gaussian function. The coordinates xc and yc represent the centers of the image section plane (z=1.3 mm), and r represents the fluorescent intensity in the experimental images and also the mass fraction of the chemicals from the central inlet (C) in the simulations.
To understand how flows create these focused and defocused patterns without complicated channel geometries with using the single 2D microfluidic platform of
The increase of the flow velocities caused flow separation at the confluent points of parallel inlets A1 and B1 into main fluidic channel 908 (
To determine how universal these responses are for microfluidic systems, the present inventors investigated the sensitivity of the 3D combined-flow-interface patterns to the channel height and to the Reynolds number.
For example, at a channel height of 100 μm, there was no change in the vertically linear (non-3D) focused patterns even when the Reynolds number increased to 30. However, focused and defocused patterns were observed in taller channels with heights of 300 μm and 500 μm. The sensitivity to the channel height is critical as relatively larger microfluidic systems with dimensions of hundreds of micrometers to multiple millimeters are being used to study a range of problems including model organism behaviors, optofluidics, flow cytometry, and passive mixing.
In addition to the foregoing, the present disclosure is directed to a method of imparting a desired first three-dimensional (3D) pattern into a combined flow interface within a main channel of a fluidic device, wherein the main channel has a flow axis, a transverse cross-section perpendicular to the flow axis, a z-dimension extending parallel to the flow axis, and an x-y plane parallel to the transverse cross-section. This method comprises: 1) directing multiple fluid streams continuously into a the main fluidic channel so as to form a the combined-flow interface within the main channel; 2) selecting a desired degree of focus for the combined-flow interface in the x-y plane; and 3) controlling the relative flows among the multiple fluid streams in a manner that tunes the combined-flow interface to a the desired first three-dimensional (3D) pattern so that the first 3D-pattern substantially has the desired degree of focus.
In an embodiment of the immediately preceding method, the directing of multiple fluid streams includes: directing a central fluid stream into the main fluidic channel, wherein the central fluid stream has a material composition; directing at least one first lateral fluid stream into the main fluidic channel on a first lateral side of the central fluid stream, wherein the at least one first lateral fluid stream has a material composition different from the material composition of the central fluid stream; and directing at least one second lateral fluid stream into the main fluidic channel on a second lateral side of the central fluid stream opposite the first lateral side, wherein the at least one second lateral fluid stream has a material composition different from the material composition of the central fluid stream; and wherein said controlling the relative flows includes controlling the relative flows among the central, at least one first lateral, and at least one second lateral fluid streams in a manner that achieves the desired first 3D-pattern and the degree of focus.
In an aspect of the immediately preceding embodiment, each of the central fluid stream, the at least one first lateral fluid stream, and the at least one second lateral fluid stream has an inlet flow into the main fluidic channel, and the controlling of the relative flows includes controlling the relative flows so that the ratio of the inlet flow of the central fluid flow to the combined inlet flows of the at least one first lateral fluid flow and the at least one second lateral fluid flow is between 1:20 and 1:10.
In addition to the foregoing, the present disclosure is directed to a system that comprises: a fluidic device that includes 1) a main fluidic channel and multiple inlets fluidly communicating with said main fluidic channel, wherein the main fluidic channel has a flow axis; 2) a fluid delivery system in fluid operatively configured to provide multiple fluid streams, in a one-to-one manner, to the multiple inlets so that the multiple fluid streams form a combined-flow interface within the main fluidic channel when the system is operating: and 3) a 3D-pattern controller designed and configured to control the fluid delivery system in a manner that tunes the combined-flow interface to a desired first 3D-pattern, wherein the control includes: A) controlling the multiple fluid streams so that each of the multiple fluid streams is continuous while the fluid delivery system is operating to provide the desired first 3D-pattern; and B) controlling relative flows of the multiple fluid streams so that the combined-flow interface substantially achieves a preselected degree of focus in a plane perpendicular to said flow axis.
In an embodiment of the immediately preceding system, 1) the multiple inlets include: A) a central-fluid-stream inlet to the main fluidic channel, the central-fluid-stream inlet having B) a first lateral side and a second lateral side opposite said first lateral side; C) at least one first lateral-fluid-stream inlet to the main fluidic channel, the at least one first lateral-fluid-stream inlet located on said first lateral side of the central-fluid-stream inlet; and D) at least one second lateral-fluid-stream inlet to the main fluidic channel, the at least one second lateral-fluid-stream inlet located on the second lateral side of the central-fluid-stream inlet; 2) the fluid delivery system is designed and configured to provide: A) a central fluid stream to the central-fluid-stream inlet; B) at least one first lateral fluid stream corresponding respectively to the at least one first lateral-fluid-stream inlet; and C) at least one second lateral fluid stream corresponding respectively to the at least one second lateral-fluid-stream inlet; and 3) the fluid delivery system includes a flow regulation system responsive to said 3D-pattern controller so as to regulate mass flow of at least one of A) the central fluid stream, B) the at least one first lateral fluid stream, and C) the at least one second lateral fluid stream.
In an aspect of the immediately preceding embodiment, each of the central fluid stream, the at least one first lateral fluid stream, and the at least one second lateral fluid stream has an inlet flow into the main fluidic channel, and the 3D-pattern controller is operatively configured to control the fluid delivery system so that the ratio of the inlet flow of the central fluid flow to the combined inlet flows of the at least one first lateral fluid flow and the at least one second lateral fluid flow is between 1:20 and 1:10.
Exemplary embodiments have been disclosed above and illustrated in the accompanying drawings. It will be understood by those skilled in the art that various changes, omissions and additions may be made to that which is specifically disclosed herein without departing from the spirit and scope of the present invention.
This application claims the benefit of priority of U.S. Provisional Patent Application Ser. No. 61/459,975, filed on Dec. 22, 2010, and titled “Methods, Apparatuses, and Systems for Three-Dimensional Chemical Pattern Control Using Two-Dimensional Modular Microfluidics,” which is incorporated by reference herein in its entirety.
This invention was made in part with government support under National Science Foundation grant CMS-0555513. The government may have certain rights in this invention.
Number | Name | Date | Kind |
---|---|---|---|
5711871 | Miltenyi | Jan 1998 | A |
5779892 | Miltenyi et al. | Jul 1998 | A |
5786161 | Irsch et al. | Jul 1998 | A |
5877299 | Thomas et al. | Mar 1999 | A |
6190870 | Schmitz et al. | Feb 2001 | B1 |
6342344 | Thomas et al. | Jan 2002 | B1 |
6417011 | Miltenyi | Jul 2002 | B1 |
6468432 | Miltenyi et al. | Oct 2002 | B1 |
6482926 | Thomas et al. | Nov 2002 | B1 |
6491918 | Thomas et al. | Dec 2002 | B1 |
6610544 | Lin et al. | Aug 2003 | B2 |
6645727 | Thomas et al. | Nov 2003 | B2 |
6730230 | Cook et al. | May 2004 | B2 |
6808683 | Gilbert | Oct 2004 | B2 |
6814938 | Karp et al. | Nov 2004 | B2 |
6849459 | Gilbert et al. | Feb 2005 | B2 |
6877528 | Gilbert et al. | Apr 2005 | B2 |
6878271 | Gilbert et al. | Apr 2005 | B2 |
6883957 | Gilbert et al. | Apr 2005 | B2 |
6900029 | Coulter et al. | May 2005 | B1 |
7030228 | Schmitz et al. | Apr 2006 | B1 |
7041257 | Gilbert et al. | May 2006 | B2 |
7041362 | Barbera-Guillem | May 2006 | B2 |
7079241 | Empedocles et al. | Jul 2006 | B2 |
7094345 | Gilbert et al. | Aug 2006 | B2 |
7108915 | Adams et al. | Sep 2006 | B2 |
7119248 | Rajewsky et al. | Oct 2006 | B1 |
7135340 | Wognum et al. | Nov 2006 | B2 |
7145039 | Chu et al. | Dec 2006 | B2 |
7153699 | Gilbert et al. | Dec 2006 | B2 |
7166423 | Miltenyi et al. | Jan 2007 | B1 |
7172791 | Treadway et al. | Feb 2007 | B2 |
7211442 | Gilbert et al. | May 2007 | B2 |
7258839 | Gilbert et al. | Aug 2007 | B2 |
7293581 | Gilbert et al. | Nov 2007 | B2 |
7298478 | Gilbert et al. | Nov 2007 | B2 |
7316932 | Woodside | Jan 2008 | B2 |
7393632 | Cheo et al. | Jul 2008 | B2 |
7554657 | Bosio | Jun 2009 | B2 |
7611309 | Gilbert et al. | Nov 2009 | B2 |
7638285 | Stingl et al. | Dec 2009 | B2 |
20020177176 | Thomas et al. | Nov 2002 | A1 |
20030147886 | Thomas et al. | Aug 2003 | A1 |
20040109793 | McNeely et al. | Jun 2004 | A1 |
20050092681 | Higashino et al. | May 2005 | A1 |
20050123450 | Gilbert et al. | Jun 2005 | A1 |
20060134696 | Chiem et al. | Jun 2006 | A1 |
20060269446 | Gilbert et al. | Nov 2006 | A1 |
20060285983 | Bunner et al. | Dec 2006 | A1 |
20070101446 | Rajewsky et al. | May 2007 | A1 |
20080087584 | Johnson et al. | Apr 2008 | A1 |
20080131323 | Kuczenski et al. | Jun 2008 | A1 |
20090053799 | Chang-Yen et al. | Feb 2009 | A1 |
20090291463 | Gilbert et al. | Nov 2009 | A1 |
Entry |
---|
Robin H. Liu et al., “Passive Mixing in a Three-Dimensional Serpentine Microchannel,” Journal of Microelectromechanical Systems, vol. 9, No. 2, Jun. 2000. |
Hengzi Wang et al., “Numerical Investigation of Mixing in Microchannels with Patterned Grooves,” Journal of Micromechanics and Microengineering, 13 (2003) 801-808. |
Dino Di Carlo et al., “Continuous Inertial Focusing, Ordering, and Separation of Particles in Microchannels,” Proceedings of the National Academy of Sciences of the United States of America, Nov. 27, 2007, vol. 104, No. 48. |
D. L. Hitt et al., “Confocal Imaging of Flows in Artificial Venular Bifurcations,” Journal of Biomechanical Engineering Transactions of the ASME, vol. 121, Apr. 1999, 170-177. |
D. L. Hitt et al., “A Simplified Model for Determining Interfacial Position in Convergent Microchannel Flows,” Journal of Fluids Engineering, Transactions of the ASME, 758-767, vol. 126, Sep. 2004. |
Zhigang Wu et al., “Hydrodynamic Focusing in Microchannels under Consideration of Diffusive Dispersion: Theories and Experiments,” Sensors and Actuators B 107 (2005) 965-974. |
Minsoung Rhee et al., “Microfluidic Assembly Blocks,” Lab Chip, 2008, 8, 1365-1373. |
Kang Sun et al., “Modular Microfluidics for Gradient Generation,” Lab Chip, 2008, 8, 1536-1543. |
Po Ki Yuen, “SmartBuild—A Truly Plug-N-Play Modular Microfluidic System,” Lab Chip, 2008, 8, 1374-1378. |
Xiaole Mao et al., “Single-Layer Planar On-Chip Flow Cytometer Using Microfluidic Drifting Based Three-Dimensional (3D) Hydrodynamic Focusing,” Lab Chip, 2009, 9, 1583-1589. |
Chia-Hsien Hsu et al., “Microvortex for Focusing, Guiding and Sorting of Particles,” Lab Chip, 2008, 8, 2128-2134. |
Myung Gwon Lee et al., “Three-Dimensional Hydrodynamic Focusing with a Single Sheath Flow in a Single-Layer Microfluidic Device,” Lab Chip, 2009, 9, 3155-3160. |
J. Patrick Shelby et al., “High Radial Acceleration in Microvortices,” Nature, vol. 425, Sep. 4, 2003. |
Todd Thorsen et al., “Dynamic Pattern Formation in a Vesicle-Generating Microfluidic Device,” Physical Review Letters, vol. 86, No. 18, Apr. 30, 2001. |
Number | Date | Country | |
---|---|---|---|
20130014828 A1 | Jan 2013 | US |
Number | Date | Country | |
---|---|---|---|
61459975 | Dec 2010 | US |