Name: Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique (Video) | JoVE Journal
Uploaded: 2015-06-12T14:00:00.000+00:00
Duration: 10 min 12 s
Description: Discover microscale schlieren imaging for non-invasive concentration gradient measurement in microfluidic devices. This optical method enables real-time visualization of mixing inhomogeneity using calibration and computational validation.

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5 minutes

This work was supported by the Ministry of Science and Technology of Taiwan under Grant Number 101-2221-E-002-064-MY3.

1. Fabrication of Microfluidic Device
<ol>
	<li>Use a graphic layout software (e.g., AutoCAD) to draw the outline of a T-microchannel. For the T-microchannel, the two feed channels are 90 &#181;m wide and 2,500 &#181;m long, and the confluence channel is 180 &#181;m wide and 3,000 &#181;m long. Connect the end of each channel to an individual circle with a diameter of 1,100 &#181;m.</li>
	<li>Mark &#8216;clear&#8217; and &#8216;dark&#8217; for the exposure and covered areas, respectively. For a negative photoresist (e.g., SU-8), the shape of the T-microchannel is &#8216;clear&#8217; and the surrounding is &#8216;dark.&#8217;</li>
	<li>Use a laser pattern generator with a wavelength of 442 nm and a minimum feature size of 2 &#956;m to transfer the pattern of the T-microchannel onto a chrome-on-glass photomask.</li>
	<li>Use the photomask, a substrate (e.g., single-side polished silicon wafer) and a permanent epoxy photoresist (e.g., SU-8) to make a mold through a standard lithography process. The photoresist layer is 55.2 &#956;m thick. In general, the photoresist thickness should be thinner than the depth of correlation of the objective lens17-19.</li>
	<li>Use the mold and a transparent material such as polydimethylsiloxane (PDMS) to fabricate the T-microchannel20.</li>
	<li>For fluidic connection, use a stainless steel tube of 2 mm in outer diameter to punch through-holes aligned to the circular patterns on the PDMS.</li>
	<li>Treat the surfaces of the PDMS and a glass slide with oxygen plasma at 60 W for 30 sec. Attach the PDMS to the glass slide. The oxidized surfaces of the two materials create a strong bond. Place the bonded PDMS structure on a hot plate for 5 min at 120 &#176;C.</li>
	<li>Insert Teflon tubes into the punched holes for fluidic connection.</li>
</ol>
2. Experimental Setup
<ol>
	<li>Construct the microscale schlieren system from a Hoffman modulation contrast microscope by removing the slit plate in the front focal plane of the condenser and replacing the modulator with a knife-edge in the rear focal plane of the 5X objective3. The depth of correlation, which depends on the numerical aperture of the objective17-19, should be sufficient to cover the entire depth of the microfluidic device. The surface of the knife-edge is blackened by anodic aluminum oxide to reduce its reflectivity.</li>
	<li>Mount the high-speed camera to the trinocular tube of the microscope via a C-mount adapter. Have the camera face the optical path of the microscope through a beam splitter. Connect the camera to a desktop computer via an Ethernet cable. Set the gamma correction to 1 for the camera so that its grayscale readout is proportional to the input luminance.</li>
	<li>Turn on the light source. In order to avoid excess heat, use LED (light emitting diode) lighting.</li>
	<li>Use an image processing software (e.g., function imread in MATLAB) to obtain the grayscale values of an acquired image. Remove the knife-edge, adjust the illumination, the aperture and the exposure time so that the average grayscale readout of the image is about 10% less than the maximal value. This denotes the background intensity for a 0% cutoff and we use a value of 230 for an 8-bit image.</li>
	<li>Insert the knife-edge to block the incident light completely. Record the average grayscale readout of the image. This denotes the background intensity for a 100% cutoff and the value is about 15 for an 8-bit image.</li>
	<li>Adjust the position of the knife-edge such that the average grayscale readout of the acquired image lies in the middle of the values for 0% and 100% cutoff. Now the degree of the cutoff is set to 50%.</li>
	<li>Prepare two transparent fluids with known refractive indices21 that are completely miscible with each other as the constituents. To evaluate the dependence of refractive index on concentration of the mixture, check the literature21 or use the Gladstone-Dale equation22. If the curve is nonlinear over the entire range, pick other fluid components. Then, choose a designated composition below which the refractive index of the solution varies linearly with the concentration. For example, use dilute aqueous ethanol with a mass fraction of 0.05 and water as the working fluids.</li>
	<li>Put the T-microchannel on the specimen stage. Arrange the T-microchannel so with the confluent channel parallel to the knife-edge (Figure 1).</li>
	<li>Prepare two identical syringes: syringe A is filled with the working fluid that serves as the reference fluid (water), and syringe B is filled with the other working fluid (dilute aqueous ethanol). The size of the syringe depends on the desired flow rate Q and the specification of the syringe pump: Q = &#960;d2V/4, where d is the inner diameter of the syringe and V is the speed of the plunger. Flow pulsation usually can be prevented by choosing a small syringe to increase V23.</li>
	<li>Collect the outlet fluid from the T-microchannel in a beaker. Ensure the Teflon outlet tube is fixed to the beaker&#39;s wall and its end is below the liquid level in the beaker in order to avoid vibration that would be caused by droplet breakoff.</li>
</ol>
3. Calibration
<ol>
	<li>Acquire the images of the two fluids mixing and the reference images.
	<ol>
		<li>At a given Reynolds number Re, set the flow rate of the syringe pumps, Q. Q is calculated from Q = &#181;(W+D)Re/4&#961;, where &#181; and &#961; are the viscosity and density of the working fluid, and W and D are the width and depth of the confluence channel of the T-microchannel, respectively.</li>
		<li>Load one pump with syringe A and the other pump with syringe B. Connect the two inlets of the T-microchannel to syringe A and syringe B via Teflon tubing. Start the syringe pumps to deliver the working fluids into the T-microchannel at identical volume flow rates.</li>
		<li>Wait until steady flow establishes. The steady flow condition is defined by the emergence of a stationary schlieren pattern.</li>
		<li>Use the camera controlled software to record twenty frames of fluidic mixing at a frame rate of 30 fps.</li>
		<li>Stop the pump which is loaded with syringe B. Only pump the reference fluid (water) through one inlet into the confluence channel of the T-microchannel at constant rate.</li>
		<li>Wait until steady flow condition is reached and no schlieren pattern is observed.</li>
		<li>Use the camera controlled software to take the reference image, when no optical inhomogeneity is present in the T-microchannel. Record twenty frames at a frame rate of 30 fps.</li>
		<li>Repeat 3.1.1 to 3.1.7 at different Reynolds number: Re = 1, 5, 10, 20 and 50 so that no complex flow structure emerges in the confluence region of the T-microchannel24.</li>
	</ol>
	</li>
	<li>Use an image processing software to divide the acquired image I(i, j) by the reference image I0(i, j)25, where i and j are the pixel indices.</li>
	<li>Employ a CFD (Computational Fluid Dynamics) package to simulate mixing of the designated fluids in the T-microchannel.
	<ol>
		<li>Construct the three-dimensional model for the geometry of the T-microchannel. Discretize the flow domain into structured grids. To increase the accuracy, employ finer mesh in the confluence and the central region of the T-microchannel.</li>
		<li>Assign the physical properties of fluids and establish the boundary conditions to the flow domain. During the solving process, determine the concentration-dependent diffusion coefficient from the concentration obtained in the last iteration26 in order to update the local concentration.</li>
		<li>Examine the sensitivities of the computed results by performing the grid study27.</li>
	</ol>
	</li>
	<li>For each node (xi, yi) on the xy-plane, employ the CFD post-processing tool to take the average values of the concentration field across the channel depth by the trapezoidal rule: w(xi, yj) = {&#8721;k [w(xi, yj, zk) + w(xi, yj, zk+1)]&#8729;(zk+1 - zk)/2}/D28, where D is the channel depth. Use the central differencing scheme to compute the derivative of concentration with respect to the cross-stream direction: (&#8706;w/&#8706;y)i, j = [w(xi, yj+1) - w(xi, yj-1)]/(yj+1 - yj-1).</li>
	<li>For both positive and negative gradients, extract the ratio of grayscale values I/I0 (obtained in 3.2) and the gradient of mass fraction &#8706;w/&#8706;y (obtained in 3.4) at specified locations such as y = 0 (centerline, streamwise direction) or various given x (cross-stream direction).</li>
	<li>Plot the results and determine the relationship between I/I0 and &#8706;w/&#8706;y, I/I0 = C1&#8706;w/&#8706;y + C2 (C1 and C2 are constants), with linear regression.</li>
</ol>
4. Quantitation
<ol>
	<li>Repeat steps 3.1 to 3.2 for mixing in the target microfluidic device. The depth of the target microfluidic device should be identical or close to that of the T-microchannel. If unsteady phenomenon is expected, acquire a video clip (sequence of images) in step 3.1.4 instead. The frame rate should be high enough to resolve the dynamics of the transient flow clearly, while the exposure time should be identical to the value used in 2.4, 2.5, 3.1.4 and 3.1.7.</li>
	<li>Use the relationship obtained in step 3.6 to convert the ratio of grayscale values to the gradient of mass fraction in the target microfluidic device.</li>
</ol>

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</ol>

The authors have nothing to disclose.

For fluidic mixing in a microfluidic device, the microscale schlieren technique is able to measure the magnitude of concentration gradient through quantifying change in light intensity. Because the principle of this technique relies on detecting the alternation of light propagation, the working fluids and the microfluidic device have to be transparent to the incident light. In addition, the protocol requires a linear relationship between the refractive index of the solution and its composition so that preliminary assessm...

Fluid mixing is an important issue that is found in many industrial processes and biological systems. With the emergence of microfluidics, mixing in microscale has brought much attention due to its challenge in diffusion domination among the mass transport mechanisms. Since designing an effective micromixer required quantitative validation, several measuring methods were developed5-7. Nevertheless, the three-dimensional structure, commonly found in efficient micromixers5, demands a more accurate representation of the concentration field that the common measuring techniques fail to deliver. Due to the limit of viewing angle8 or reaction kinetics6, the aforementioned methods may produce misleading results that do not correctly account for the homogeneity of the mixture.
For optically transparent fluids mixing in optically transparent microstructures, microscale schlieren technique3,9-14 provides an attractive alternative to analyze mixing inhomogeneity. In the past, microscale schlieren technique has been mostly used to visualize compressible flow9-13,15 or phase gradient16. Microscale schlieren technique benefits from both a simple optical layout and high sensitivity and enables not only the non-invasive investigation of specific flow feature that causes optical disturbance but is well suited for use in assessing mixing. In this paper, we construct the microscale schlieren system by inserting a knife-edge in the back focal plane of the objective of a microscope, describe a calibration procedure to realize quantitative analysis, and report a validation measurement in a microfluidic oscillator4. To implement measurements, the working fluids are properly selected so that the refractive index of the mixed fluids varies linearly with the composition, and the thickness of the target microfluidic device is identical to the one used in calibration. Besides species concentration, microscale schlieren technique can be extended to measure the gradient of other scalar quantity that is linearly correlated to the index of refraction, such as temperature or salinity.

<table><tbody><tr><td>Permanent Epoxy Negative Photoresist</td><td>MicroChem</td><td>SU-8 2150</td><td></td></tr><tr><td>single side polished silicon wafer</td><td>Light Technology</td><td>S4W1PP5SABUP1</td><td>p-type, &lt;br /&gt;diameter: 100&amp;plusmn;0.5 mm, thickness: 525&amp;plusmn;25 mm, orientation: (1 0 0)</td></tr><tr><td>syringe pump</td><td>kdScientific</td><td>kds210</td><td></td></tr><tr><td>syringe, &lt;em&gt;i.e.&lt;/em&gt; 10 ml</td><td>Terumo</td><td>SS-10L2138</td><td></td></tr><tr><td>Hoffman modulation contrast microscope</td><td>Leica Microsystems</td><td>DM IL LED</td><td></td></tr><tr><td>5X objective lens</td><td>Leica Microsystems</td><td>N PLAN</td><td>NA = 0.12</td></tr><tr><td>knife-edge</td><td></td><td></td><td>custom made part</td></tr><tr><td>camera, &lt;em&gt;i.e.&lt;/em&gt; high speed</td><td>Integrated Design Tools</td><td>NX7-S1</td><td></td></tr><tr><td>C-mount adapter HC 0.63x</td><td>Leica Microsystems</td><td>541537</td><td></td></tr><tr><td>camera operating software</td><td>Integrated Design Tools</td><td>MotionPro X Studio 2.02.01</td><td></td></tr><tr><td>polydimethylsiloxane (PDMS)</td><td>Dow Corning</td><td>Sylgard-184 silicone elastomer kit</td><td></td></tr><tr><td>Teflon tubing, &lt;em&gt;i.e.&lt;/em&gt; O.D. x I.D. 1/16 in. x 0.031 in.</td><td>Supelco</td><td>58700-U</td><td></td></tr><tr><td>micro glass slide</td><td>Matsunami Glass</td><td>S2215</td><td></td></tr><tr><td>hot plate</td><td>Yeong-Shin</td><td>HP-303DN</td><td></td></tr><tr><td>distilled water, &lt;em&gt;i.e.&lt;/em&gt; HPLC grade</td><td>Alps Chemicals</td><td></td><td></td></tr><tr><td>ethyl alcohol, &lt;em&gt;i.e.&lt;/em&gt; reagent grade</td><td>Nihon Shiyaku Reagent</td><td>EA448652</td><td></td></tr><tr><td>image processing software</td><td>Mathworks</td><td>MATLAB R2009a</td><td></td></tr><tr><td>computational fluid dynamics package</td><td>ESI group</td><td>CFD-ACE+ 2008</td><td></td></tr></tbody></table>

analyzing mixing inhomogeneity in a microfluidic device by microscale schlieren technique

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

In this paper, we introduce the use of microscale schlieren technique to measure mixing inhomogeneity in a microfluidic device. The microscale schlieren system is constructed from a Hoffman modulation contrast microscope, which provides easy access to the rear focal plane of the objective lens, by removing the slit plate and replacing the modulator with a knife-edge. The working principle of microscale schlieren technique relies on detecting light deflection caused by variation of refractive index1-3. The deflected light either escapes or is obstructed by the knife-edge to produce a bright or a dark band, respectively. If the refractive index of the mixture varies linearly with its composition, the local change in light intensity in the image plane is proportional to the concentration gradient normal to the optical axis. The micro-schlieren image gives a two-dimensional projection of the disturbed light produced by three-dimensional inhomogeneity.
To accomplish quantitative analysis, we describe a calibration procedure that mixes two fluids in a T-microchannel. We carry out a numerical simulation to obtain the concentration gradient in the T-microchannel that correlates closely with the corresponding micro-schlieren image. By comparison, a relationship between the grayscale readouts of the micro-schlieren image and the concentration gradients presented in a microfluidic device is established. Using this relationship, we are able to analyze the mixing inhomogeneity from associate micro-schlieren image and demonstrate the capability of microscale schlieren technique with measurements in a microfluidic oscillator4. For optically transparent fluids, microscale schlieren technique is an attractive diagnostic tool to provide instantaneous full-field information that retains the three-dimensional features of the mixing process.

The grayscale ratio I/I0 under different Reynolds number for both positive and negative gradients of mass fraction is shown (Figure 2) with a symmetrical band appearing in the middle of the T-microchannel. At low Reynolds number, the tail of the schlieren band is expanded and blurred due to the dispersion across the mixing interface. As the Reynolds number increases, the diffusion length shortens leading to a narrower band. At different downstream locations, the variations of...

Herein, we describe a procedure that employs microscale schlieren technique to measure mixing inhomogeneity in a microfluidic device. Through calibration, distribution of concentration gradient can be derived from the micro-schlieren image.

In this paper, we introduce the use of microscale schlieren technique to measure mixing inhomogeneity in a microfluidic device. The microscale schlieren ...

The overall goal of this procedure is to non-invasively measure the concentration gradient in a microfluidic device by using the microscale sch larin technique. This is accomplished by first constructing the microscale sch larin system from a Hoffman modulation contrast microscope. Remove the slit plate of the condenser and replace the modulator at the rear focal place of the objective with a knife edge.The second step is to mount a T microchannel and start a calibration mixing procedure. Image the T channel in order to obtain gray scale micro schlein images. Next, compare the micros larin images with a computational fluid dynamic simulation.To find the relationship between gray scale and concentration gradients, the final steps are to load a target microfluidic device. Take a micro schlein image of mixing and use the calibration curve to convert the gray scale values to concentration gradients. Ultimately, microscale schlein technique is used to show mixing in homogeneity quantitatively in a microfluidic device in real time.The main advantage of this method over the existing techniques like fluorescence imaging or shadow, is that it enables unsteady fulfill measurements of concentration gradient that reveal the three dimensional in homogeneity in a microfluid device. Demonstrating this procedure will be Dr.A recent PhD graduate from a lab. The first step is to prepare the microfluidic device to be used in the experiment.This t microchannel device was fabricated by molding poly dimethyl Sloane. The schematic of the device shows its feed channels and its confluence channel. Each channel is connected to a circular region that will be the site of fluid connection.For the experiment, mount a microfluidic device on a glass slide and insert Teflon tubes. To make fluid connections, put the device aside. As the experiment is prepared, construct the microscale schlein system from a Hoffman modulation contrast microscope.Have a knife edge ready to put in the optical path. This knife edge is custom made for use in this system and is blackened to reduce reflectivity. Keep the knife edge at hand and begin to modify the microscope burst.Remove the slit plate in front of the focal plane of the condenser. Next, remove the modulator from the rear focal plane of the five x objective. Get the knife edge and insert it in place of the modulator.To capture video, use a high speed camera mounted to the tri inocular tube of the microscope and connected to a computer. Turn on the light source and begin sending grayscale video to the computer. Next, capture and process an image.Record an image from the video stream and use image processing software to obtain its grayscale value. Return to the microscope and remove the knife edge on the computer. Monitor the average gray scale readout while adjusting the illumination and the aperture.Stop when the average gray scale readout of the image is about 10%less than the maximum value. This is the background intensity for a 0%cutoff. Now insert the knife edge to block the incident light completely.At the computer. Record the average gray scale readout of the image. This is the background intensity for a 100%cutoff.Next iteratively adjust the position of the knife edge while monitoring the average gray scale readout of captured images.Stop. When the average gray scale readout of the image is in the middle of the zero and 100%values, this sets the degree of cutoff to 50%Now return to the microscope to mount the T microchannel device. Place it on the specimen stage so that the confluent channel is parallel to the knife edge.Roughly adjust the focus once the device is in place. Repair the fluids for the experiment. Select two transparent fluids with no refractive indices that are completely missable with each other.For this video, water is used as the reference fluid and an aqueous ethanol solution is the other and s plus of the refractive index as a function of concentration. And choose the mass fraction of the aqueous ethanol so that it falls in the linear region. This experiment uses a mass fraction of 0.05 to dispense the fluids repair.Two identical syringes filling one syringe with water, and the other would dilute aqueous ethanol connecting the syringes to the T microchannel. Use Teflon tubing to connect each of the two inlets of the T Microchannel to one of the syringes. Have two syringe pumps in place to deliver fluids to the microchannel inlets.Load one pump with the reference fluid syringe. Load the other pump with the dilute ethanol syringe, but the end of the outflow tube into a container and fix it on the container's wall. Begin calibration to give them Reynolds number by setting the flow rate of the syringe pumps.Start the syringe pumps to deliver the working fluids simultaneously at identical volume flow rate. Use the camera to observe the micro channel fine. Tune the focus and wait until steady flow stabilizes a signaled by a stationary SL and pattern.Use a frame rate of 30 frames per second to record 20 frames of fluidic mixing. These frames are the acquired image. When done, prepare the pumps to get another set of frames.Stop the syringe pump for the dilute ethanol and continue to pump water through one inlet. Observe the flow and wait until steady flow occurs with nole and pattern. Record 20 frames of images at 30 frames per second.These frames are the reference image. Continue by capturing ethanol and water and then water only images for each Reynolds number of interest. When all the data is collected, turn to the computer to continue with calibration.Use the image processing software to divide acquired images by the reference image for each Reynolds number error. Sample acquired images for when the aqueous ethanol enters from the channel at the top of the image and the channel at the bottom division by the reference image gives the gray scale ratio data at a given distance along the stream. Select points in the direction of the cross stream and extract the gray scale ratio at each.Do this for several points along the stream and plot the data for comparison. Perform a computational fluid dynamic simulation of the experiment. Use this to compute the derivative of the mass fraction with respect to the cross stream derivative.Next, exploit the expected linear relation between the gray scale ratio and the derivative by using linear regression. To find the regression line after calibration, use the micro schlein technique to study a target device. First, disconnect and remove the T microchannel device from the sample stage.Replace it with a target microfluidic device of approximately equal depth. Connect the device to water and the aqueous ethanol solution with the camera recording input water and dilute ethanol at equal volume flow rates at the computer. Wait until the flow is stabilized and record 20 frames for the acquired image.Next, stop the syringe pump for the aqueous ethanol and input only water into the target microfluidic device. Return to the computer to obtain the reference image. The gray scale ratio under different Reynolds numbers for positive and negative mass fraction gradients have a band appearing in the middle of the T microchannel at a low Reynolds number.The tail of the Schlein band is expanded and blurred due to dispersion across the mixing interface. As the Reynolds number increases, the diffusion length shortens, which leads to a narrower band. In this video, the linear relation found between the grayscale ratio and the mass fraction derivative was used to capture the oscillating nature of the flow in a microfluidic oscillator at a Reynolds number of 250.After watching this video, you should have a good understanding of how to implement the microscale layering technique for quantitation of concentration gradients in a microfluidic device.

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Discover microscale schlieren imaging for non-invasive concentration gradient measurement in microfluidic devices. This optical method enables real-time visualization of mixing inhomogeneity using calibration and computational validation.

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

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