Hirokazu
Sugino
a,
Takahiro
Arakawa
ab,
Yuki
Nara
b,
Yoshitaka
Shirasaki
c,
Kazuto
Ozaki
b,
Shuichi
Shoji
b and
Takashi
Funatsu
*ad
aLaboratory of Bio-analytical Chemistry, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. E-mail: funatsu@mail.ecc.u-tokyo.ac.jp; Fax: +81-3-5802-3339; Tel: +81-3-5841-4760
bMajor in Nanoscience and Nanoengineering, Waseda University, Tokyo 169-8555, Japan
cLaboratory of Immunogenomics, Research Center for Allergy and Immunology, RIKEN, Kanagawa 230-0045, Japan
dCore Research for Evolutional Science and Technology (CREST), Japan Science and Technology Corporation (JST), Tokyo 102-0075, Japan
First published on 5th August 2010
Microfluidic systems have significant implications in the field of cell separation since they could provide platforms with inexpensive, disposable and sterile structures. Here, we present a novel strategy to integrate microfluidic sorters into a single chip for high throughput sorting. Our parallel sorter consists of a microfluidic chip with a three-dimensional channel network that utilizes flow switching by a heat-induced sol–gel transition of thermoreversible gelation polymer. The 8 parallel sheathed sample flows were realized by injecting sample and buffer solutions into only 2 inlets. The sheathed flows enabled disposal of unwanted sample waste without laser irradiation, and collection of wanted sample upon irradiation. As an application of the sorter, two kinds of fluorescent microspheres were separated with recovery ratio and purity of 70% or 90% at throughputs of about 100 or 20 particles per second, respectively. Next, Escherichia coli cells expressing green fluorescent protein were separated from those expressing DsRed with recovery ratio and purity of 90% at a throughput of about 20 cells per second.
Various types of passive and active microfluidic sorters have been reported. Passive microfluidic sorters separate cells according to their intrinsic properties. Passive sorters use flow splitting4,5 or Dean flow6,7 to separate cells, while active microfluidic sorting is performed by fluorescence labeling of target cells. Active sorters use on-chip8 or off-chip valves,9 or thermoreversible gelation polymer (TGP)10–12 to separate cells. Sorting techniques such as dielectrophretic force,13–15 ultrasound,16,17 or optical force18–20 can be used as both passive and active sorting. Passive sorters can attain throughputs of ∼106 cells s−1. In contrast, throughputs of active sorters are restricted to 1–100 cells s−1, although they could specifically detect cells of interest with fluorescent markers. For practical use, both high throughput and specific detection are required. Active sorters are expected to attain high throughput by integrating many sorters onto a single chip. However, integrations of active sorters have been rarely reported because of the complexity of the accompanying parallelization. All processes, such as creation of sample sheath flow, detection of specific cell fluorescence, and cell separation, need to be carried out at each integrated sorter individually. Therefore, it is difficult to avoid increased complexity in parallel sorting systems.
Three-dimensional (3D) microfluidic systems are useful for parallelization of sorters.21 In active sorters, the sample stream needs to be sheathed by two neighboring streams of buffer solution in order to align cells to the center of a channel.11,19 Thus, parallel sorting channels designed in a two-dimensional plane require multiple inputs to create multiple sheath flows, which causes the increasing complexity of fluidic control. A 3D microfluidic system, in contrast, allows us to design a flexible channel network which reduces the number of inlets and the complexity of fluidic control.21
A TGP-based sorting scheme is also suitable for integration of sorters.10–12 It uses transition of a TGP solution, which is liquid at low temperature and turns to a gel upon heating, to achieve flow switching. The TGP solution is mixed with a sample solution, and then introduced into a chip where the solution locally turns into a gel at a sorting region by heating. We use the gel as a flow switching valve, which means the TGP method does not require any mechanical valve. Therefore, the method could be easily applicable to control flow in a parallel channel or in a more complicated channel structure. The TGP-based sorting has additional advantages. First, cells could be collected without physical contact, since cell sorting is accomplished with flow switching by a gel valve. Second, small particles such as supramolecules or bacteria cells could be separated by a channel with dimension of ∼5 μm. On the other hand, the limitation of this method is the switching time of 3–60 ms11,12 which is slower than that of optical force methods (2–4 ms),18,19 or conventional FACS.
Here, we propose a new strategy to integrate active sorters into a single chip by combination of a chip with a 3D channel network and a flow control based on sol–gel transition of TGP. First, we describe the fabrication of a poly-dimethylsiloxane (PDMS)-glass chip with 8 sheath-flow channels using a replica molding technique and a PDMS dry-etching process; we show that sheathing the sample stream in 8 sorting channels was accomplished using as few as two inlets for sample and buffer solution injection. Next, we demonstrated that fluorescence microspheres were successfully sorted at each sorting channel using flow control based on a TGP method. Finally, we applied this parallel sorting system to separate bacteria cells expressing fluorescent proteins.
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Fig. 1 Illustrations of the operating principle of the 8 parallel sorters by flow control of TGP. Sample and buffer solutions contain TGP, which is liquid at low temperature and turns into a gel upon heating. The window for detecting the fluorescence signals is located before the junction. (a) In the absence of fluorescence signal from the target particle, the sample flows into the waste channel. (b) Upon detection of fluorescence signal, the waste channel is irradiated with an IR laser. As a result, the entrance of the waste channel is plugged by TGP and the target particle is collected to the collection channel. (c) The IR laser is deflected by an AOD to heat the sorters from which the fluorescence signals of target particles are detected. |
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Fig. 2 Layout of the 8 parallel sorters integrated in a microfluidic chip which consists of two PDMS layers and a glass plate. (a) A photograph of the chip. (b) Cross-sectional view of the chip. (c) Three-dimensional view of the chip. Sample and buffer solutions are injected from the inlets and flow into the second PDMS layer via through-holes. The sample flow branches into 8 flows and buffer solution flow branches into 16 flows. (d) A scanning electron micrograph of a through hole and a pre-filter in a second-layer mold. (e) Layout of metal dos on the glass plate which absorb an infrared laser and function as a heater. (f) A scanning electron micrograph of the sorting area in a second-layer mold. Each sample flow is sheathed with two buffer solution flows at this area. (g) An optical micrograph of the sorting area in the chip. Metal dots are deposited on the glass plate. |
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Fig. 3 Schematic overview of the process steps of the device. The second layer process is shown in (a, b). The top layer process is shown in (c). (a) The second layer mold consists of three-layer structure formed on a Si substrate. PDMS layer is formed on the mold. (b) The PDMS which covers the through hole is removed by dry etching. (c) The top layer mold consists of two-layer structure formed on a Si substrate. PDMS layer is formed on the mold. (d) The top PDMS layer is bonded to the second PDMS layer, and the PDMS block is bonded to a glass substrate. |
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Fig. 4 Schematic diagram of the optical setup for the device. A chip is placed on a fluorescence microscope equipped with an IR laser at 1064 nm. The specimen is illuminated with a 488 nm laser or a mercury lamp. Fluorescence is split by a half mirror, and the fluorescence image is captured by a CCD camera and the fluorescence signal is detected by a 1 × 16 arrayed PMT, simultaneously. Depending on the fluorescence signals from the 8 parallel sorters, the position of the IR laser beam is deflected by an AOD. |
Yellow-green and crimson microspheres were excited by a mercury lamp through an excitation filter (HQ470/40X, Chroma Technology, USA). Excitation light was reflected by a dichroic mirror (FF497/554, Semrock, USA) and introduced to the objective lens. The fluorescence from microspheres passed through the dichroic mirror and an emission filter (XF3086 510ALP, OMEGA OPTICAL, USA). E. coli cells expressing green fluorescent protein (GFP) and DsRed were excited by a 488-nm laser line (Sapphire 488-20, Coherent Inc., USA) without the excitation filter. A notch filter (Stop Line Notch filter 488, Semrock) was used in addition to the emission filter. The fluorescence from the specimen was split by a half mirror and the fluorescence image was projected onto both a charge-coupled device (CCD) video camera (MC681SPD, Texas Instruments Inc., USA) and a 1 × 16 arrayed PMT (H9531-01, Hamamatsu Photonics, Japan). The 1 × 16 arrayed PMT consisted of 16 independent channels of PMTs and 8 channels were used to detect fluorescence of target particles. Fluorescence intensities at 8 channels were converted to 8-channel electric pulses which were acquired every 2 ms with a counter (C9945, Hamamatsu Photonics). When observing or detecting yellow-green microspheres and E. coli cells expressing GFP, a band pass filter (HQ535/50M, Chroma Technology) was placed in front of the CCD camera and the 1 × 16 arrayed PMT; when observing crimson microspheres and E. coli cells expressing DsRed, a band pass filter (635DF55, OMEGA OPTICAL) was placed in front of the CCD camera.
The detection window was 20 × 400 μm at the specimen plane; it was positioned 30 μm upstream of the sorting junctions, before the 1 × 16 arrayed PMT, and used to reduce background fluorescence emitted from the solution, PDMS, and glass. The fluorescence signal was acquired every 2 ms with a photon counter (C9945, Hamamatsu Photonics) and converted by the 1 × 16 arrayed PMT to 16-channel electric pulses. A Visual Basic program was written to read the signals from the counter and to digitally control the AOD. When a target particle was detected in a sorter, the AOD automatically deflected the IR laser to the waste channel of the sorter where the fluorescence was detected. As a result, the waste channel was plugged with a gel, and the target was separated into the collection channel.
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Fig. 5 Fluorescence micrographs of the flows of microspheres in a microfluidic chip. (a) Waste mode: Yellow-green microspheres were collected in the waste channels (the left channels) without sorting operation. Stream lines indicate the flows of the microspheres. Broken lines indicate the outlines of microchannels. Exposure time was 10 s. Scale bar indicates 50 μm. (b) Collection mode: A microsphere flowed into the right channel for collection with a sorting operation. The bright spot is the reflection of an IR laser which heated metal dots in the waste channel to plug the flow. Fluorescence images were captured every 33 ms. Scale bar indicates 50 μm. The supplemental movie 1 is available in ESI.† |
Next, we evaluated the performance of the 8 parallel sorters by sorting yellow-green microspheres under different microsphere concentrations. The yellow-green and crimson microspheres were mixed at a ratio of 1:
10 and suspended in a 10% TGP solution. The final concentration of yellow-green microspheres was from 2 × 106 to 3 × 108 particles mL−1. Recovery ratio, purity before and after sorting, and throughput are shown in Table 1. Throughput increased as the concentration of yellow-green microsphere increased. A 90% recovery ratio and 90% purity were attained at a low throughput (0.9, 1.9, and 16.8 particles s−1), while they deceased at a high throughput (61.6, 101.6, and 107.8 particles s−1). The decreases in recovery ratio and purity are ascribed to the successive detection of microspheres in the same channel. Upon detection of the wanted particle, IR laser was irradiated for 10 ms at the corresponding channel. If the second wanted particle flowed into the detection area of the channel during the irradiation, the particle was wasted by our separation algorithm. Thus the flow rate affected both recovery ratio and purity. The difference in throughput under the concentration of 3 × 108 particles mL−1 as shown in Table 1 was ascribed to the different flow rates of sample and buffer solutions.
Concentrationsa [particles mL−1] | Number of target microspheres | Recovery ratio | Purity | Throughput [particles s−1] | |||
---|---|---|---|---|---|---|---|
Detected | Wasted | Collected | Before | After | |||
a Concentrations of yellow-green microspheres are shown. b Irradiation time of the IR laser was 10 ms. | |||||||
2 × 106 | 297 | 34 | 263 | 0.89 | 0.09 | 0.94 | 0.9 |
2 × 106 | 335 | 22 | 313 | 0.93 | 0.09 | 0.94 | 1.0 |
6 × 106 | 620 | 37 | 583 | 0.94 | 0.09 | 0.97 | 1.9 |
6 × 106 | 703 | 53 | 650 | 0.92 | 0.09 | 0.93 | 2.2 |
6 × 107 | 5333 | 308 | 5025 | 0.94 | 0.09 | 0.88 | 16.8 |
3 × 108 | 6024 | 2330 | 3694 | 0.61 | 0.09 | 0.69 | 61.6 |
3 × 108 | 5955 | 1445 | 4510 | 0.76 | 0.09 | 0.71 | 75.2 |
3 × 108 | 9142 | 3048 | 6094 | 0.67 | 0.09 | 0.60 | 101.6 |
3 × 108 | 8928 | 2459 | 6469 | 0.72 | 0.09 | 0.62 | 107.8 |
Concentrationsa [cells mL−1] | Recovery ratio | Purity | Throughput [cells s−1] | |
---|---|---|---|---|
Before | After | |||
a Concentrations of E. coli cells expressing GFP are shown. b Irradiation time of the IR laser was 10 ms. Run time was 5 min. | ||||
8 × 106 | 0.94 | 0.15 | 0.85 | 2.0 |
8 × 106 | 0.96 | 0.16 | 0.81 | 2.9 |
8 × 106 | 0.96 | 0.14 | 0.79 | 3.0 |
8 × 106 | 0.95 | 0.16 | 0.73 | 4.4 |
4 × 107 | 0.91 | 0.50 | 0.82 | 6.8 |
4 × 107 | 0.95 | 0.53 | 0.89 | 13.1 |
4 × 107 | 0.95 | 0.53 | 0.89 | 14.6 |
4 × 107 | 0.94 | 0.56 | 0.87 | 18.4 |
To assess E. coli viability, we sorted E. coli cells expressing GFP for an hour; their viability was determined using a BD cell viability kit by fluorescence microscopy. Cell viability before and after sorting were 87 ± 2% and 85 ± 3%, respectively (mean values ± SD of three experiments), indicating that our sorting device imposes little damage on cells.
The microfluidic structure and the flow control technique are not limited to integration of microfluidic sorters. The 3D structure could be useful for other sheathing applications such as integrations of flow cytometry or drop-based microfluidics. The flow control by TGP could also be applicable to other channel structures that require multivalve control.
In this study we integrated 8 sorters in a chip of about 400 μm × 400 μm; each channel size was 5 μm deep × 20 μm wide. Space and channel size are comparatively small, given that channel sizes in other cell sorters are usually at least 100 μm. For this reason, the parallel sorter would be especially suited to handle bacterial cells rather than mammalian cells, as bacterial cells are smaller than mammalian cells. We envision further applications as a purification tool in organelle proteomics, separating organelles of interest with specific fluorescence detection. As these organelles are usually no larger than bacterial cells, the TGP method with a microfluidic chip would be particularly appropriate for such investigations.
Footnote |
† Electronic supplementary information (ESI) available: Dry etching of PDMS, preparation of E. coli cells and separation of fluorescent microspheres including Table S1 and Movie 1. See DOI: 10.1039/c004192k |
This journal is © The Royal Society of Chemistry 2010 |