This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, and partially supported by LLNL&#8217;s Laboratory Directed Research and Development (LDRD) program, 14-LW-077. The authors thank Michael Wilson, Mark Stenglein and Joe DeRisi at the Univeristy of California, San Francisco for generously providing GGV and Boa cell samples. EJF acknowledges support from the LLNL Lawrence Scholar Graduate Program. MS acknowledges support from the UC Office of the President Lab Fees Research Program. LLNL-JRNL-665235

<ol>
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J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Fundamentals of microfabrication: the science of miniaturization. , (2002).</li><li>Krulevitch, P., Benett, W., Hamilton, J., Maghribi, M., Rose, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Polymer+based+packaging+platform+for+hybrid+microfluidic+systems.">Polymer based packaging platform for hybrid microfluidic systems.</a> Biomedical Microdevices. 4 (4), 301-308 (2002).</li><li>Leslie, D. C., Easley, C. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Frequency+specific+flow+control+in+microfluidic+circuits+with+passive+elastomeric+features.">Frequency specific flow control in microfluidic circuits with passive elastomeric features.</a> Nature Physics. 5 (3), 231-235 (2009).</li><li>Oh, K. W., Lee, K., Ahn, B., Furlani, E. 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The authors have nothing to disclose.

This protocol presents the system-level integration of microfluidic devices to macroscale equipment to perform automated biological sample processing. The modularity of this platform allows it to be adaptable to any continuous flow device, and, as an example, the presented protocol focuses on characterizing and optimizing the performance of an acoustofluidic particle separation device. Three major advantages of this protocol are highlighted: (i) modularity and chip-to-world interfacing, (ii) robust characterization of device performance, and (iii) automated processing of precisely metered sample volumes for particle separation.
i. Modularity and chip-to-world interfacing
As shown in Figure 2, the microfluidic chip is mounted on a custom breadboard to easily fit onto a microscope stage for direct observation. The breadboard contains #6-40 UNF threaded holes on a 5 mm-pitch grid, enabling the chip to be secured, and fluid connections to be made. The fluid connections are PEEK tubes with machined ends, which seal against the fluidic chip with a rubber face-sealing gasket and a stainless steel collar. This interface scheme makes for easy chip replacement and rapid device redesign, requiring few or no changes to other system components, provided chip footprints conform to the grid format. For example, we have used this platform with microfluidic chips for continuous-flow electrophoresis, thermal cell lysis,29 rapid mixing of reagents for chemical synthesis, and single-cell capture and interrogation.
ii. Robust characterization of device performance
In order to optimize the performance of any microfluidic separation device, its operation must first be thoroughly characterized. The system described here supports the development of rapid and automated protocols to do this. For the specific example of acoustic focusing devices, the focusing quality, operating frequency, and position of focused particles in the microfluidic channel must be measured for each individual device. These measurements require sweeping through a range of piezoceramic drive frequencies, voltages and flow rates, to identify the optimal parameter combinations for high-quality separation. The presented protocol automatically varies these tunable parameters and captures the relevant data&#8212;i.e., fluorescent images of particles flowing in the channel that are post-processed to generate the required measurements of particle focusing quality, frequency, and position (Figure 3).
Full characterization of acoustic device performance requires repeating Steps 4.4 and 4.5 as needed under different experimental conditions. For instance, the absolute focusing position of a chip is found by running the frequency scan at relatively low flow rates and high voltages to ensure complete migration to the node location. Additionally, such frequency scans can assess the quality of device assembly (when run with polystyrene beads of known size), or to determine how a previously-unknown particle type will behave in the system (after a chip has been characterized with beads). A chip with good energy transfer from the piezoceramic to the microfluidic channel will result in tight focusing at high flow rates (&#62;1 ml/min) and low voltages (12&#8211;15 Vpp), while those with poor energy transfer will not focus even at low flow rates (&#60;100 &#181;l/min) and high voltages (&#62;20 Vpp). We have found that intimate contact between the microfluidic chip and the piezoceramic is critical for efficient energy transfer into the fluid. Further investigation of the optimal method of bonding the microfluidic chip and the piezoceramic will enable reliable production of high-performance devices.
Finally, a complete picture of an acoustophoretic device&#8217;s operation can be obtained by combining the image-based frequency scan measurements of Step 4 (and Figure 3) with particle counts collected from the SPO and LPO as functions of the relevant operating parameters, from separation experiments carried out with microspheres, as described in Step 5. As shown in Figure 6, such a series of automated experiments can rapidly characterize an individual device&#8217;s performance and tunability, informing the user of the optimal parameter space to operate the device for particle separation.
iii. Automated small-sample processing for particle separation
For successful and accurate microfluidic chip-based sample processing, it is critical to reliably and precisely meter, load, deliver, and collect the volumes of fluid as they pass through. This precision is especially important when the sample volume is small (~0.1&#8211;1 ml), which is common in clinical or research laboratory settings.30 Precise sample handling is challenging in traditional microfluidic experiments that employ manual withdrawal of the sample into a syringe and infusion into a device with no feedback of when the sample has been separated and when it should be collected. The presented protocol employs automated sample coil loading and dispensing coupled with real-time feedback from flow sensors to enable reproducible separations of small sample volumes.
Figure 5 shows the flow profiles measured at the SPO and LPO from a typical separation experiment. First, leading buffer of at least 35 &#181;l is loaded to ensure stable flow before the sample reaches the acoustic chip. Sample volumes less than 100 &#181;l are not recommended for this system configuration, because sample dilution due to the leading buffer becomes excessive. A plug of air is used at the beginning of the injection before the leading buffer to separate the sample plug from the fluid that follows, preventing mixing and dilution of sample and serving as an indicator to the flow sensors. After an initial transient as fluid begins moving through the system, sharp spike signals in both outlets indicate the passage of the first air bubble. These transients are followed by a long period of stable flow as the sample flows through the system, then another spike when the second air bubble passes, and finally an eventual decrease in flow rate to zero after the syringe pump stops.
The passage of the air plugs through the flow sensors is used as trigger points to switch the valves to start and stop sample collection, thus minimizing lost sample and dilution by non-sample fluid volumes. Closed-loop metering of processed sample volumes eliminates the need to re-program these values prior to the start of the experiment each time the input sample is changed. This feature is particularly important when sample volume is limited, for example in the case of many clinical samples. Real-time flow monitoring also assists in troubleshooting; a poor run (e.g., a clog forming in one of the outlets) is immediately evident from the resultant flow profiles, as in Figure 5b.
To demonstrate the flexibility and effectiveness of acoustofluidic separation using the presented system architecture, purified DENV and GGV virus stocks were spiked into cell stocks and separated by processing through the microfluidic chip. Figure 7a shows that Raji cells were well-separated from viruses, as 97% of Raji cells exiting the chip were found to be in the LPO, thereby leaving a highly enriched sample of DENV in the SPO. In comparison, the efficiency of DENV separation was lower, with 70% of DENV exiting the chip found in the SPO. This can be attributed to slight convective mixing induced by the turns of the separation channel, but more likely to some DENV particles migrating along with the Raji cells into the LPO. Cells migrating laterally across streamlines drag some fluid with them, even at low Reynolds number. By this mechanism, as well as nonspecific surface adsorption, viral particles transfer into the LPO. Nevertheless, the highly enriched sample of DENV in the SPO is a significant benefit, for instance when de novo sequencing is used to detect and identify viruses.
Figure 7b shows that in one experimental run, only about 70% of Boa cells exiting the chip were found in the LPO, compared with nearly 100% separation efficiency for Raji cells. The difference in separation performance between the two cell types may be attributable to a smaller average size or a lower density of Boa cells as compared to Raji cells, therefore resulting in smaller acoustic forces. To confirm or refute these suppositions, the size, density and morphology of Boa cells in suspension (which normally grow adherent) of Boa cells must be accurately measured, an effort for further investigation. In the same experiments, similarly to the experiments with DENV, the bulk of the recovered GGV exited from the SPO, indicating an enrichment of the viral fraction.
The presented data highlight the inherent challenges of engineering broadly-applicable platforms for processing a variety of biological samples. Importantly, the biological interactions can begin to play as great a role as the physical and mechanical effects. However, these preliminary experiments also demonstrate the power and promise of using this system architecture for sample processing in clinical and research applications. As a robust, well-characterized engineered system, this platform provides the capability to seek answers to new scientific questions.

Sample separation and fractionation is one of the most promising areas of application for microfluidic technologies. Such sample handling steps are integral for effective clinical diagnostics, therapeutics development, biosurveillance efforts, and progress in life science research and technology. A myriad microfluidic separation strategies have been demonstrated for fluid-suspended particulates and colloids, as well as for chemical and biological species; several reviews provide overviews of recent progress and developments in these fields1&#8211;9. Although many of these microfluidic separation technologies (hereafter referred to as &#8220;Core Devices&#8221;) have been extensively characterized, few reports have considered the sample separation problem at a system level. The Core Devices are typically individual centimeter-scale chips, interfaced to fluoropolymer tubing, with fluid delivered by a displacement or pressure pump. Yet, if the promise of microfluidics&#8211;&#8211;including increased automation, reliability, and reduction in sample volumes&#8211;&#8211;is to become reality, at least an equivalent effort must be devoted to the design of a complete separation system into which the Core Device is integrated.
In addition, a major challenge for microfluidic approaches to biodetection is the macro to micro interface. This refers not only to the physical &#8220;world-to-chip&#8221; connections of a microfluidic device to macroscale components, and to the mismatch between typical clinical or analytical sample volumes (~0.1&#8211;10 ml) and the internal volume of microfluidic chips (~0.01&#8211;10 &#181;l), but also to the statistical sampling limitations arising from bridging these size scales. These issues contribute to the perception that sample pre-processing and preparation are the &#8220;weak link&#8221; of biodetection.10 The platform described in this work takes major steps toward addressing these challenges.
Taking a system-level view, this protocol details the reliable processing of precisely-metered analytical-scale volumes (ranging from 0.15 to 1.5 ml) on ~10-min&#160;timescales. This is a &#8220;one-button&#8221; operation: once the source vial containing the sample and destination vials for fraction collection are placed into the system, the &#8220;run&#8221; command initiates the procedure, and all steps are computer-controlled. At the end of a run, the collection vials can be removed from the system for downstream analysis of the separated fractions.
The Core Device in this system is an acoustophoresis chip which extracts mammalian cell-sized (5&#8211;20 &#181;m) particles from the sample. Acoustophoretic separation is chosen here primarily because it is high-throughput (up to 100s of &#181;l/min), label-free, and non-contact, thus offering advantages in separating viable viruses from cells that few other microfluidic techniques can match. The physics of acoustic particle focusing have been extensively described,11&#8211;13 and are not the focus of this protocol, but a brief summary of the underlying concepts follows to aid in understanding the application to microfluidic separation.
Ultrasound standing waves resonating in fluid-filled microchannels produce pressure fields, which give rise to forces that drive particles toward nodes of low pressure. The force magnitude depends on the particle&#8217;s volume, and on an acoustic contrast factor derived from the relative densities and compressibilities of the particle and the suspending fluid.14 As such, acoustic focusing is ideally suited to separation of cell-sized (~7&#8211;15 &#181;m) from virus-sized (~50&#8211;200 nm) particles. The larger particles migrate toward a pressure node; however, since the force magnitude is very small for particles smaller than 2&#8211;3 &#181;m, these small particles or dissolved species hardly move at all. Our specific implementation of acoustic separation, as previously described,15 incorporates a thin wall to subdivide the fluid channel and allows tunable, asymmetric placement of the focusing position. This adds flexibility in device design, and the performance benefits&#8212;including increased separation quality and speed&#8212;are fully described elsewhere.16,17
However, a major advantage of the system-level design approach described in this work is that it is adaptable to a great variety of microfluidic Core Devices. For example, most other continuous-flow separation modes, including inertial, flow-field fractionation, deterministic lateral displacement (DLD), and various types of electrokinetic devices can be readily incorporated, with appropriate adjustments made to account for changes in inlet/outlet configuration, flow rates, and sample volumes. Devices with various types of on-chip fields (electric, magnetic) or gradients (thermal, chemical) may require additional connections to the chip, or the integration of additional hardware, which this platform accommodates.
This protocol provides the steps required to design a microfluidic separation device, and to fabricate silicon-glass chips by deep reactive ion etching (DRIE, a plasma-etch process available in many microfabrication facilities, which uses alternating cycles of etching and passivation to achieve deep features with vertical sidewalls18). Next, we describe the characterization of the acoustofluidic device to determine the optimal operating parameters for separation, and finally detail the fully-integrated separation system and the procedure for processing biological samples. Typical device characterization results and sample processing data are then presented and discussed, and the key advantages of this approach are highlighted, including modularity, robustness, precision and automation.

<table border="0">
	<tbody>
		<tr>
			<td colspan="4">Materials required for Steps 1-3: Device Design, Fabrication and Assembly</td>
		</tr>
		<tr>
			<td>Double Sided Polished Silicon Wafer</td>
			<td>Silicon Quest International, Inc. San Jose, CA, USA</td>
			<td>100 mm &#60;100&#62;&#160; prime wafer</td>
			<td>1-20 ohm-cm, 495 +/- 25&#181;m Double-side polished</td>
		</tr>
		<tr>
			<td>Glass Wafer</td>
			<td>Bullen Ultrasonics, Eaton, OH, USA</td>
			<td>100mmx0.5mm Boro</td>
			<td></td>
		</tr>
		<tr>
			<td>Photoresist, AZ 1518</td>
			<td>MicroChemicals GmbH, Ulm, Germany</td>
			<td>AZ 1518</td>
			<td>Photoresist used to adhere wafer to blank wafer for DRIE etching</td>
		</tr>
		<tr>
			<td>Photoresist, AZ 4620</td>
			<td>MicroChemicals GmbH, Ulm, Germany</td>
			<td>AZ 4620</td>
			<td>Photoresist to define fluidic and via mask patterns</td>
		</tr>
		<tr>
			<td>DRIE plasma etcher</td>
			<td>STPS, Newport, NP, United Kingdom</td>
			<td>Multiplex Advance Oxide Etch (AOE) ICP system</td>
			<td></td>
		</tr>
		<tr>
			<td>Wafer Bonder</td>
			<td>Electronic Visions Group,&#160; St.Florian am Inn, Austria</td>
			<td>EVG 501</td>
			<td></td>
		</tr>
		<tr>
			<td>Dicing saw</td>
			<td>Kulicke &#38; Soffa Industries, Singapore</td>
			<td>K&#38;S 982</td>
			<td></td>
		</tr>
		<tr>
			<td>Epoxy kit</td>
			<td>Epoxy Technology, Billerica, MA, USA</td>
			<td>EPO-TEK 301</td>
			<td>Epoxy used to couple piezo and microfluidic chip</td>
		</tr>
		<tr>
			<td>PZT piezoceramic&#160;</td>
			<td>Piezo Systems, Woburn, MA, USA</td>
			<td>PSI-5A4E</td>
			<td>37.5 &#215; 10 &#215; 0.5 mm</td>
		</tr>
		<tr>
			<td>28 AWG Kynar-insulated solid wire</td>
			<td>Squires Electronics, Cornelius, OR, USA</td>
			<td>UL1422</td>
			<td></td>
		</tr>
		<tr>
			<td>2-part silver epoxy&#160;</td>
			<td>MG Chemicals, Surrey, BC, Canada</td>
			<td>8331</td>
			<td>Conductive adhesive for attaching wire leads to PZT</td>
		</tr>
		<tr>
			<td>L-edit</td>
			<td>Tanner EDA, Monrovia, CA, USA</td>
			<td>Ledit v15.1 64-bit</td>
			<td>CAD software for mask layout</td>
		</tr>
		<tr>
			<td colspan="4">Materials required for Step 4: Characterizaiton of Acoustic Focusing Performance</td>
		</tr>
		<tr>
			<td>Dual Pump</td>
			<td>Harvard Apparatus, Holliston, MA, USA</td>
			<td>PHD ULTRA Series, 703007</td>
			<td></td>
		</tr>
		<tr>
			<td>5ml syringes</td>
			<td>Becton-Dickinson, Franklin Lakes, NJ, USA</td>
			<td>309646</td>
			<td></td>
		</tr>
		<tr>
			<td>Luer to Threaded port adapter</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>P-659</td>
			<td>Connects syringe to tubing</td>
		</tr>
		<tr>
			<td>Union</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>P-623</td>
			<td>Connects world to chip connections to fluoropolymer tubing.&#160; Can also use webbed&#160;</td>
		</tr>
		<tr>
			<td>Ferrule 1/4-28 flat bottom</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>P-200</td>
			<td>Used with nut to make connections between tubing and syringe, flow sensors and world to chip hardware</td>
		</tr>
		<tr>
			<td>Nut&#160; 1/4-28 flat bottom</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>P-202</td>
			<td>Used with ferrule to make connections between tubing and syringe, flow sesnsors and world to chip hardware</td>
		</tr>
		<tr>
			<td>1/16&#34; OD Fluoropolymer tubing</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>1912L</td>
			<td>Tubing to connect syringe pumps to world to chip connections.&#160; Tubing size is not critical during claibration steps (.01-.03&#34; ID typically used, other suitable part numbers: 1907L, 1902L).</td>
		</tr>
		<tr>
			<td>Small ID fluoropolymer tubing</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>1476-20</td>
			<td>Used for Flow restrictors: 0.006&#34; ID, 1/16&#34; OD FEP&#160;</td>
		</tr>
		<tr>
			<td>PEEK tubing</td>
			<td></td>
			<td></td>
			<td>Connects from chip to fluoropolymer tubing.</td>
		</tr>
		<tr>
			<td>Cooling fan</td>
			<td>Multicomp, Leeds, England</td>
			<td>MC19663</td>
			<td></td>
		</tr>
		<tr>
			<td>Function Generator</td>
			<td>Agilent, Santa Clara, CA, USA</td>
			<td>33220A</td>
			<td></td>
		</tr>
		<tr>
			<td>RF amplifier</td>
			<td>ENI, Rochester, NY</td>
			<td>325 LA</td>
			<td>Must be able to amplify signals from &#60;1V&#160; in the range of 1-2MHz to 25 Vpp to the piezo.</td>
		</tr>
		<tr>
			<td>CCD Camera</td>
			<td>Photometrics, Tucscon, AZ, USA</td>
			<td>CoolSnap HQ</td>
			<td></td>
		</tr>
		<tr>
			<td>Inverted Microscope</td>
			<td>Zeiss, Oberkochen, Germany</td>
			<td>Axiovert S100</td>
			<td></td>
		</tr>
		<tr>
			<td>FITC filter set</td>
			<td>Chroma Tech, VT, USA</td>
			<td>SP101</td>
			<td></td>
		</tr>
		<tr>
			<td>Objective, 10x</td>
			<td>Zeiss, Oberkochen, Germany</td>
			<td>ACHROPLAN</td>
			<td></td>
		</tr>
		<tr>
			<td>Oscilloscope</td>
			<td>Tektronix, Beaverton, OR, USA</td>
			<td>TDS3014B</td>
			<td>To monitor voltage output by RF amplifier</td>
		</tr>
		<tr>
			<td>MatLab</td>
			<td>Mathworks, Natick, MA, USA</td>
			<td>R2014a</td>
			<td></td>
		</tr>
		<tr>
			<td>Driver interface software to integrate Photometrics camera with LabVIEW</td>
			<td>R Cubed Software, Lawrenceville, NJ, USA</td>
			<td>SITK</td>
			<td></td>
		</tr>
		<tr>
			<td>Tween 20</td>
			<td>Sigma Aldrich, St. Lousi, MO, USA</td>
			<td>P9416</td>
			<td></td>
		</tr>
		<tr>
			<td>Dragon Green Fluorescent 5.76 or 7.32 &#181;m Beads</td>
			<td>Bangs Laboratory, IN, USA</td>
			<td>FS06F</td>
			<td></td>
		</tr>
		<tr>
			<td colspan="4">Additional materials required for Step 5: Automated Separation</td>
		</tr>
		<tr>
			<td>Multiport valves</td>
			<td>VICI, Houston, TX, USA</td>
			<td>C25Z-3180EUHA</td>
			<td>In the current configuration 4 valves are needed</td>
		</tr>
		<tr>
			<td>Flow Sensors</td>
			<td>Sensirion, Westlake Village, CA, USA</td>
			<td>SLI-1000</td>
			<td></td>
		</tr>
		<tr>
			<td>Fluoropolymer tubing, .01 and .03&#34; ID</td>
			<td>IDEX, Oak Harbor, WA, USA</td>
			<td>1902L and 1912L</td>
			<td>High purity PFA preferred</td>
		</tr>
		<tr>
			<td>Nut&#160;</td>
			<td>VICI, Houston, TX, USA</td>
			<td>ZN1PK-10</td>
			<td>Used with ferrule to make connections between tubing and valves.&#160; Alternative part numbers: MZN1PK-10, LZN1PK-10</td>
		</tr>
		<tr>
			<td>Ferrule</td>
			<td>VICI, Houston, TX, USA</td>
			<td>ZGF1PK-10</td>
			<td>Used with nut to make connections between tubing and valves.&#160;&#160;</td>
		</tr>
		<tr>
			<td>LabVIEW</td>
			<td>National Instruments, Austin, TX, USA</td>
			<td>LabVIEW Professional Development system</td>
			<td>Laboratory Automation Software</td>
		</tr>
		<tr>
			<td>PBS</td>
			<td>Teknova, Hollister, CA, USA</td>
			<td>P0200</td>
			<td></td>
		</tr>
		<tr>
			<td>Raji Cells</td>
			<td>ATTC, Manassas, VA, USA</td>
			<td>CCL86</td>
			<td></td>
		</tr>
		<tr>
			<td>Boa Cells</td>
			<td></td>
			<td></td>
			<td>Kindly provided by the DeRisi Laboratory at UCSF</td>
		</tr>
		<tr>
			<td>GGV</td>
			<td></td>
			<td></td>
			<td>Kindly provided by the DeRisi Laboratory at UCSF</td>
		</tr>
		<tr>
			<td>DENV</td>
			<td></td>
			<td></td>
			<td>Kindly provided by Jose Pena at LLNL</td>
		</tr>
		<tr>
			<td>Coulter Counter Z2</td>
			<td>Beckman Coulter, Brea, CA, USA</td>
			<td>Z2</td>
			<td></td>
		</tr>
		<tr>
			<td>Hemacytometer</td>
			<td>Fisher Scientific, Waltman, MA, USA</td>
			<td>0267151B</td>
			<td></td>
		</tr>
	</tbody>
</table>

a microfluidic platform for precision small-volume sample processing and its use to size separate biological particles with an acoustic microdevice

A major advantage of microfluidic devices is the ability to manipulate small sample volumes, thus reducing reagent waste and preserving precious sample. However, to achieve robust sample manipulation it is necessary to address device integration with the macroscale environment. To realize repeatable, sensitive particle separation with microfluidic devices, this protocol presents a complete automated and integrated microfluidic platform that enables precise processing of 0.15&#8211;1.5 ml samples using microfluidic devices. Important aspects of this system include modular device layout and robust fixtures resulting in reliable and flexible world to chip connections, and fully-automated fluid handling which accomplishes closed-loop sample collection, system cleaning and priming steps to ensure repeatable operation. Different microfluidic devices can be used interchangeably with this architecture. Here we incorporate an acoustofluidic device, detail its characterization, performance optimization, and demonstrate its use for size-separation of biological samples. By using real-time feedback during separation experiments, sample collection is optimized to conserve and concentrate sample. Although requiring the integration of multiple pieces of equipment, advantages of this architecture include the ability to process unknown samples with no additional system optimization, ease of device replacement, and precise, robust sample processing.

Key features of the acoustic-microfluidic device design are highlighted in Figure 1, and described fully elsewhere.15 In brief, two fluid streams flow side-by-side in a separation channel, separated from a parallel bypass channel by a thin silicon wall. Since the primary radiation force magnitude scales with particle volume, large particles migrate out of the mixed-sample input stream toward the acoustic pressure node located in the adjacent recovery fluid stream, while small particles remain in the original stream (Figure 1B, C). The subdivided two-channel architecture improves particle separation17 and allows adjustment of the node position by using different bypass channel fluids.16 The fluidic breadboard and fixtures provides a robust platform for world to chip connections, and the modular design enables rapid changing between fluidic chips (Figure 2). This configuration likewise allows reversible fluid connections, which seal up to 1,000 psi, to be made quickly and reliably (Figure 2B, E).
The resonant frequency fres of a chip can be estimated using simple 1D analytical calculations (refer to Step 1.1.1). From a more complete 2D finite-element model of our device cross-section,16 the expected focusing position for 2-node resonance is 225 &#181;m from the wall and the expected frequency is 1.68 MHz. However, fres of real devices can vary by &#177;100 kHz, depending on operating temperature and coupling of longitudinal and lateral resonances. Therefore, after device assembly, fres must be empirically verified at relevant flow rates and piezo drive voltages, as described in Step 4 of the protocol. Figure 3 shows representative frequency scans taken at 200 &#181;l/min, with water in the main and bypass channels, and 20 Vpp supplied to the piezo. When coupling between the piezo and microfluidic device is good, particles will focus tightly at the resonant frequency, resulting in a clear peak in the fluorescent intensity and migration to the expected focusing position (Figure 3A). In contrast, when there is poor coupling, particles will not focus well and the frequency scan results will be similar to Figure 3B. In such devices, the piezo transducer may need to be re-mounted, if a reversible adhesive has been used; otherwise, this device is unsuitable when high-quality focusing or fast flow are critical for the required application. The data in Figure 3 inform the choice of operating frequency for subsequent experiments, and the voltage and flow rate range available for efficient particles separation.
<img alt="Figure 5" src="/files/ftp_upload/53051/53051fig5.jpg" /> 
Figure 5. Automated Sample Processing. (A) Schematic of sample loaded in the sample coil. (B) Representative flow profile of a successful separation experiment. (C) Flow profile from a separation run during which the SPO outlet clogged at approximately 220 sec. <a href="https://www.jove.com/files/ftp_upload/53051/53051fig5large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
After identifying chips that are effective separators, they are incorporated into the system depicted in Figure 4. Total system swept volume is minimized by using tubing with 0.01&#8221; inner diameter along the main flow path (blue lines). Figure 5A illustrates the make-up of a typical sample plug infused through the system. A small amount of &#8220;leading buffer&#8221; (~35 &#181;l) is required to precede the sample in the flow to eliminate flow fluctuations while the sample is moving through the separation chip. Figure 5B shows flow data resulting from a successful automated acoustic separation experiment. Key features of a successful run include: (1) a transient increase in flow rate in both the LPO and SPO as pressure builds and fluid begins to flow through the system, (2) a sharp spike indicating the passage of an air bubble (the inset shows an expanded profile of a single bubble), which should reach the SPO before the LPO due to the unequal flow from the two outlets, (3) stable flow through both outlets between the two air bubbles as the sample moves through the system, and (4) a gradual decrease in flow rate in both outlets after the full sample volume is delivered to the system. Problematic runs are immediately apparent from flow profiles similar to Figure 5C, where it appears that the SPO became clogged after approximately 220 seconds. In this case, a cleaning procedure similar to that described in Step 5.3 should be run to unclog the channel.
<img alt="Figure 6" src="/files/ftp_upload/53051/53051fig6.jpg" /> 
Figure 6. Device Tunability: Particle Size and Voltage Effects. Percent of polystyrene microspheres extracted in the LPO depends on the particle size and voltage supplied to the piezoceramic. Each line corresponds to a different operating voltage at the resonant frequency, determined as described in Step 4. Total flow rate through the device is 200 &#181;l/min, with applied drive frequencies between 1.62 and 1.64 MHz. Error bars represent the standard deviation of at least three separate experiments. Reproduced and modified by permission of The Royal Society of Chemistry from http://pubs.rsc.org /en/Content/ArticleLanding/ 2014/AN/c4an00034j. <a href="https://www.jove.com/files/ftp_upload/53051/53051fig6large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Figure 6 shows compiled separation results using various polystyrene particle sizes and piezo driving voltages that demonstrate the operating parameters necessary for efficient separation. In general, higher voltages (i.e., greater acoustic forces) are required to extract smaller particles, as expected. Drive voltages cannot be indefinitely increased, however, due to greater heat dissipation and increasing effects of acoustic streaming.13 The plot serves as a general guide for particle separation&#8212;particle sizes that show significantly different recovery at a specific drive voltage (e.g., 10- and 2-&#181;m particles at 8.8 Vpp) will separate well. Generally, particle populations with a large size difference, such as viruses (~100 nm) and cells (~10 &#181;m) can be separated rapidly and efficiently, as can cells of different sizes (e.g., 6&#8211;8 &#181;m discoidal erythrocytes and 8&#8211;15 &#181;m leukocytes). The specific conditions required to work with other cell types must be empirically determined, as cell shape, density and compressibility affect its acoustic contrast, in addition to cell size. To this end, the procedures in Step 4 are useful for determining usable separation conditions for any new cell or particle type, and not only for assessing the quality of a particular acoustophoresis device.
<img alt="Figure 7" src="/files/ftp_upload/53051/53051fig7.jpg" /> 
Figure 7. Separation Efficiency of Cell-Virus Spiked Samples. Separation results from (A) Raji cells spiked with Dengue virus (DENV) and (B) Raji cells and Boa kidney cells spiked with Golden Gate Virus (GGV). Percentages collected are defined as the fraction of viruses or cells exiting from a specific outlet compared to the total amount exiting the chip. The error bars for (A) are the standard deviation of 3 trials, whereas the samples in (B) were only processed once due to the low quantities available. 1x PBS was used as the sample buffer and recovery fluid, with water in the bypass channel for all experiments. Chip operating frequencies ranged between 1.60 and 1.64 MHz, with drive voltages between 16 and 20 Vpp. <a href="https://www.jove.com/files/ftp_upload/53051/53051fig7large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
To demonstrate the utility of this platform for biological particle separation, we first used it to process well-characterized biological samples: human Raji cells (105 cells/ml, average diameter 8&#8211;10 &#181;m25) spiked with dengue virus (DENV, 105 pfu/ml, approximate diameter 50 nm26). Figure 7A shows the percentage of Raji cells and DENV collected in both the SPO and LPO (defined as the fraction of each particle type collected from each outlet compared with the total amount of each particle collected from the chip). The experiment was repeated in triplicate, and Raji cells were quantified using a Coulter counter, while DENV was quantified using a reverse-transcription quantitative polymerase chain reaction (RT-qPCR).
Next, the performance of the system was tested in a scenario that is more realistic for processing clinical samples, in which the exact physical characteristics of the particles may be unknown, and the available sample quantities are lower. Here, we assessed separation of the recently-identified golden gate virus (GGV), a snake pathogen infecting boa constrictor kidney cells.27 The size of the GGV virus particle has not yet been measured, but since GGV belongs to the Arenaviridae family, it is likely of a similar size, between 100 and 150 nm.28 We processed samples with GGV spiked (104 pfu/ml) into Raji human cells (not an infection target for the virus), and boa kidney cells (infection target for GGV, approximate size 10 &#181;m27), with both cell types at 104 cells/ml. As these samples were available in low quantities, separation results from only one experimental run are reported in this work. Figure 7B shows the percentage of Raji cells, Boa cells, and GGV collected from the SPO and LPO. Cells were quantified in these experiments by counting on a hemacytometer and viruses were quantified by RT-qPCR.

Watch this Scientific Journal Video about A Microfluidic Platform for Precision Small-volume Sample Processing and Its Use to Size Separate Biological Particles with an Acoustic Microdevice at JoVE.co

A Microfluidic Platform for Precision Small-volume Sample Processing and Its Use to Size Separate Biological Particles with an Acoustic Microdevice

This protocol describes a system architecture for performing automated small volume (0.15&#8211;1.5 ml) particle separations using a microfluidic device, and discusses methods to optimize acoustofluidic device performance and operation.

A major advantage of microfluidic devices is the ability to manipulate small sample volumes, thus reducing reagent waste and preserving precious sample. ...

a-microfluidic-platform-for-precision-small-volume-sample-processing

Research

JoVE Journal

Bioengineering

13.5K visualizações.  Lawrence Livermore National Laboratory. This protocol describes a system architecture for performing automated small volume (0.15–1.5 ml) particle separations using a microfluidic device, and discusses methods to optimize acoustofluidic device performance and operation.

Vídeo: A Microfluidic Platform for Precision Small-volume Sample Processing and Its Use to Size Separate Biological Particles with an Acoustic Microdevice