|Simple filter microchip for rapid separation of plasma and viruses from whole blood.|
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|PMID: 23055720 Owner: NLM Status: MEDLINE|
|Sample preparation is a significant challenge for detection and sensing technologies, since the presence of blood cells can interfere with the accuracy and reliability of virus detection at the nanoscale for point-of-care testing. To the best of our knowledge, there is not an existing on-chip virus isolation technology that does not use complex fluidic pumps. Here, we presented a lab-on-a-chip filter device to isolate plasma and viruses from unprocessed whole blood based on size exclusion without using a micropump. We demonstrated that viruses (eg, HIV) can be separated on a filter-based chip (2-μm pore size) from HIV-spiked whole blood at high recovery efficiencies of 89.9% ± 5.0%, 80.5% ± 4.3%, and 78.2% ± 3.8%, for viral loads of 1000, 10,000 and 100,000 copies/mL, respectively. Meanwhile, 81.7% ± 6.7% of red blood cells and 89.5% ± 2.4% of white blood cells were retained on 2 μm pore-sized filter microchips. We also tested these filter microchips with seven HIV-infected patient samples and observed recovery efficiencies ranging from 73.1% ± 8.3% to 82.5% ± 4.1%. These results are first steps towards developing disposable point-of-care diagnostics and monitoring devices for resource-constrained settings, as well as hospital and primary care settings.|
|ShuQi Wang; Dusan Sarenac; Michael H Chen; Shih-Han Huang; Francoise F Giguel; Daniel R Kuritzkes; Utkan Demirci|
|Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Date: 2012-09-17|
|Title: International journal of nanomedicine Volume: 7 ISSN: 1178-2013 ISO Abbreviation: Int J Nanomedicine Publication Date: 2012|
|Created Date: 2012-10-11 Completed Date: 2013-01-17 Revised Date: 2013-07-11|
Medline Journal Info:
|Nlm Unique ID: 101263847 Medline TA: Int J Nanomedicine Country: New Zealand|
|Languages: eng Pagination: 5019-28 Citation Subset: IM|
|Bio-acoustic MEMS in Medicine Laboratory, Department of Medicine, Division of Biomedical Engineering, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.|
|APA/MLA Format Download EndNote Download BibTex|
Blood Component Removal
Equipment Failure Analysis
HIV / isolation & purification*
Microarray Analysis / instrumentation*
Nanotechnology / instrumentation*
Plasma / virology*
Ultrafiltration / instrumentation*
Viruses / isolation & purification*
|R01 A1081534//PHS HHS; R01 AI081534/AI/NIAID NIH HHS; R01 AI093282/AI/NIAID NIH HHS; R01-A1093282//PHS HHS; R21 AI087107/AI/NIAID NIH HHS; R21 HL095960/HL/NHLBI NIH HHS; U54EB01540/EB/NIBIB NIH HHS|
Journal ID (nlm-ta): Int J Nanomedicine
Journal ID (iso-abbrev): Int J Nanomedicine
Publisher: Dove Medical Press
© 2012 Wang et al, publisher and licensee Dove Medical Press Ltd.
collection publication date: Year: 2012
Print publication date: Year: 2012
Electronic publication date: Day: 17 Month: 9 Year: 2012
Volume: 7First Page: 5019 Last Page: 5028
PubMed Id: 23055720
Publisher Id: ijn-7-5019
|Simple filter microchip for rapid separation of plasma and viruses from whole blood|
|Michael H Chen1|
|Francoise F Giguel2|
|Daniel R Kuritzkes3|
1Bio-acoustic MEMS in Medicine Laboratory, Department of Medicine, Division of Biomedical Engineering, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
2Infectious Diseases Unit, Massachusetts General Hospital, Boston, MA, USA
3Section of Retroviral Therapeutics, Brigham and Women’s Hospital, Boston, MA, USA
4Harvard-MIT Health Sciences and Technology, Cambridge, MA, USA
|Correspondence: Correspondence: Utkan Demirci, Harvard-MIT Health Sciences and Technology, Bio-Acoustic MEMS in Medicine (BAMM) Laboratories, 65 Landsdowne Street, Cambridge 02139, MA, USA, Tel +1 650 906 9227, Email firstname.lastname@example.org
Pandemic diseases including HIV, malaria, and TB, as well as emerging infectious diseases such as influenza H1N1 have raised serious challenges for global health and homeland security. For instance, HIV has caused more than 25 million deaths since the first reported case of AIDS in 1981, and currently there are approximately 33.3 million people living with HIV.1 Emerging endemics present grand threats to the public health. For example, H1N1 rapidly spread worldwide and caused a global pandemic in 2009,2,3 and a similar strain led to over 50 million deaths in 1918.3 To prevent and control these highly contagious infectious diseases, there is a need for implementing rapid and simple diagnostic technologies to detect early cases in the field. As such, microfluidic systems, due to their portability, affordability, and high sensitivity, have become promising technologies to develop point-of-care (POC) diagnostics.4–7
Currently, POC diagnostics require on-chip sample processing, including plasma separation from whole blood as an initial step.8,9 For example, inclusion of blood cells or components such as hemoglobin and lactoferrin may inhibit DNA polymerase in polymerase chain reaction (PCR) analysis and lead to inaccurate quantification or even amplification failure.10 Similarly, inhibitors from whole blood can interfere with enzyme-linked immunosorbent assay (ELISA) and result in low sensitivity and specificity.11,12 In addition, reducing the concentration of cellular components of blood, and separating viruses in plasma using a rapid system may increase the capture efficiency microfluidic-based viral detection platforms.13,14 This is particularly important for optical sensors, since the presence of blood cells in the sample can negatively affect the optical detection path and compromise accuracy. Detection technologies such as whispering gallery– mode devices,15 plasmon resonance devices,16 and photonic crystals,17 can benefit from the preremoval of nontargeted cells from whole blood to enhance the capture efficiency of targeted pathogens and proteins. In a clinical laboratory setting, plasma separation can simply be performed by centrifugation, whereas it remains a challenge at the POC, especially in resource-constrained settings due to lack of laboratory infrastructure.18–20 Hence, simple, inexpensive, and rapid plasma separation on-chip is urgently needed to facilitate POC diagnosis.
There have been microfluidic approaches to achieve on-chip plasma separation via driving forces such as centrifugal force,21,22 capillary force,23 and the Zweifach–Fung effect.24 However, these approaches have inherent shortcomings that render them not suitable for POC testing. For example, centrifugation-based compact-disk chips require electricity for high-speed rotation.21,22 Although capillary forces can be utilized to extract plasma to remove the need for electricity, small volumes of plasma can be extracted (a few nanoliters to microliters),25 which may be insufficient for conventional detection methods such as PCR or ELISA. To improve the yield, a continuous cross-flow device was designed to separate blood cells in microchannels at high flow rates.24 Despite enhanced plasma yields, this device requires accurate flow rates and a long fractionation time, which may not be ideal to achieve rapid detection of infectious agents at resource-constrained settings. Recently, plasma separation on-chip can also be achieved using a H2O2-powered pump26 or degas-driven flow in evacuated polydimethylsiloxane devices.25 However, the demanding storage conditions for H2O2 or vacuum limits the shelf life of these devices. Thus there is an unmet need to develop simple, robust sample-processing devices that can achieve rapid plasma separation to facilitate POC testing.27
Microfilters with pore sizes ranging from 5 to 30 μm have been used to isolate plasma from whole blood;28 however, these approaches focus on cells. In contrast, we demonstrated isolation of viruses using small pore sizes (1–2 μm), which has not yet been reported. We separated viruses, which were 110–146 nm in size,29 from whole blood using a microchip with 1–2 μm diameter porous filter membranes, which can be used as a preliminary on-chip step to detect viruses from whole blood by immunocapture.13,14 We used HIV as a relevant virus model, and validated this microchip using hematological analysis and reverse transcription quantitative PCR (RT-qPCR). The presented work is the first demonstration of a simple, rapid, pump-free, antibody-free pathogen isolation device, which can reliably recover infectious agents using size-based separation from unprocessed whole blood. The presented microchip has broad potential applications; for instance, it can be coupled with existing battery-operated diagnostic tools, or integrated with microchip ELISA or PCR as a sample preparation module for POC testing.
The device consisted of four layers of poly(methyl methacrylate) (PMMA) (McMaster-Carr, Atlanta, GA) and four layers of double-sided adhesive (DSA) (iTapestore, Scotch Plains, NJ), and a filter membrane (Figure 1A). The device was fabricated utilizing a laser cutter, as previously described.4,7,14,30,31 The device had outer dimensions of 25 × 40 mm. PMMA and DSA layer thicknesses were 1.5 mm and 50 μm, respectively. There was a circular opening with a diameter of 800 μm on the first PMMA layer to allow for blood injection into the inlet chamber. On this layer of PMMA, there was a rectangular opening (7.7 × 8.1 mm2) to collect plasma at the outlet chamber. The second PMMA layer had two separate rectangular openings (7.7 × 8.1 mm2). Underneath the second PMMA layer was a Whatman nuclepore polycarbonate track-etched membrane with low protein-binding capacity (Fisher Scientific, Pittsburgh, PA), and pore sizes ranging from 0.4 to 3 μm in diameter. The third PMMA layer contained two rectangular openings, which were connected by a channel (1.7 × 7.8 × 1.5 mm3). The fourth PMMA layer had no openings. These four PMMA layers and one layer of filter membrane were assembled via four layers of DSA (50 μm in thickness). Once assembled, the filter device had two rectangular chambers (100 μL) above and below the filter membrane (Figure 1B). The rectangular chamber under the filter membrane was connected to the outlet chamber by a microfluidic channel.
To investigate the microchip performance, we evaluated the device operation in a range of flow rates using a micropump. After we validated the chip operation using a flow-controlled system, we utilized manual flow for virus separation by pipetting, eliminating the need for a micropump. The filtration process included injection of blood and continuous wash with phosphate-buffered saline (PBS, pH 7.4). First, 40 μL of de-identified whole blood purchased from Blood Research Component (Cambridge, MA) was injected into the inlet chamber using a micropump (Programmable Syringe Pump, Sarasota, FL). Next, a minimum of 200 μL of PBS was injected using a micropump at flow rates of 100, 200, 300, 400, and 500 μL/min. These flow rates covered a broad flow-rate range before evaluating manual pipetting. The injection of PBS allowed the solution in the inlet chamber to replenish as separated plasma was pushed out from the outlet chamber (Figure 1D). Red blood cells (RBCs) and white blood cells (WBCs) were retained by the filter membrane, since their sizes exceed the pore size of the filter membrane. The injected PBS volume used in this study varied from 200 to 500 μL so that the inlet chamber could be completely washed. Following the wash, plasma was collected from the outlet chamber using a syringe with a tubing with an inner diameter of 0.05 cm (VWR Scientific, West Chester, PA) attached. The tubing was pushed from the outlet through the channel to the chamber under the membrane. This approach maximized the collection volume, and the volume of collected plasma was measured using a pipette.
For virus isolation from whole blood, we did not use a syringe pump. We manually introduced HIV-spiked whole blood samples into the microchip using a pipette. HIV subtype C intact particles were isolated from a clinical sample and co-cultured in peripheral blood mononuclear cells using a standard protocol. HIV particles were recovered using the (1 and 2 μm filter membranes) microchip and compared to centrifugation at 1000 g for 10 minutes (chart as shown in Figure 1C). Forty μL of blood sample was spiked with cultured HIV viruses (with final concentrations of 105, 104, and 103 copies/mL). The spiked samples were loaded into the microchip using a pipette and manually washed with 300 μL of PBS using a manual pipette. The filtration process took approximately 1 minute to complete.
D3 Hematology Analyzer (Drew Scientific, Dallas, TX) was used for hematological analysis. The machine was calibrated and maintained according to the manufacturer’s instructions. For hematological analysis, 10 μL of blood sample or plasma filtrate was analyzed to measure the concentration of blood components, ie, RBCs, WBCs, and platelets. The passage rate was calculated as follows:
|Passage rate (%)=Concentrationfiltrate×Volume of filtrateConcentrationblood×Volume of input blood×100|
where concentrationfiltrate is the concentration of WBCs, RBCs, and platelets in the filtrate, and concentrationblood is the concentration of WBCs, RBCs, and platelets in blood before filtration.
Plasma filtrate containing HIV subtype C was quantified using RT-qPCR.32 HIV-1 RNA was first extracted using the QIAamp Viral RNA Mini Kit (Qiagen, Valencia, CA) according to the manufacturer’s instructions. In the RT reaction (20 μL), the master mixture contained 10 μL of 2 × core RT buffer, 2 μL of 10 μM of reverse primer LTR-R2 (5′-GTCTGAGGGATCTCTCTAGTTACCAG-3′), 0.5 μL of AffinityScript (Applied Biosystems, Carlsbad, CA), and 7.5 μL of HIV-1 RNA. The RT reaction was carried out at 25°C for 5 minutes, 45°C for 60 minutes, and 95°C for 3 minutes, on the GeneAmp PCR System 9700 (Applied Biosystems). In the following qPCR (50 μL), the master mixture consisted of 1 × core PCR buffer, 0.4 μM of forward primer LTR-F (5′-TAAAGCTTGCCTTGAGTGCT-3′) and reverse primer LTR-R2, 0.2 μM of TaqMan probe LTR-P (JOE as the fluorophore and TAMRA as the quencher), 2.5 U of SureStart Taq polymerase, and 10 μL of cDNA template. The amplification reaction was carried out at 25°C for 5 minutes and then at 95°C for 10 minutes, and it was followed by 50 two-step cycles of 60°C for 1 minute and 95°C for 30 seconds on the 7300 Real-Time PCR System (Applied Biosystems). In addition, seven discarded and de-identified HIV-infected whole blood samples were collected from Massachusetts General Hospital with the approval of the Institutional Review Board (protocol: 2009P000749). These patient samples were processed on-chip as the spiked samples described above. The recovery of HIV was determined by the following formula, in which the parameter of volume was omitted since the sample volume of ultracentrifugation and microchip separation was adjusted in RNA extraction.
|Recovery (%)=HIV viral load in the filtrate sampleHIV viral load in the centrifugation sample (control)×100%|
The sample volume processed in centrifugation was adjusted to 40 μL, which was equivalent to the sample volume processed on-chip.
In this study, we developed an on-chip filtration method based on size exclusion, characterized the filter device for plasma filtration from various aspects including pore size, flow rate, and wash volume, and finally applied it to HIV isolation from unprocessed whole blood. Blood components have different sizes; the average diameters of RBCs, WBCs, and platelets are 6–8 μm, 6–20 μm (depending on the cell types, including basophils, eosinophils, lymphocytes, monocytes, and neutrophils), and 1.5–3.5 μm,33 respectively. Thus, we used four different filters with varying pore sizes (0.4, 1, 2 and 3 μm) to explore the capability of a filter membrane assembled in a microfluidic device to separate plasma, which is often used as a standard sample type for clinical diagnosis (eg, HIV viral load measurement). Also, we evaluated the effects of flow rate and wash volume on passage rates of blood components so as to minimize their presence in the filtrate. Lastly, we investigated the on-chip recovery of HIV particles, which have diameters ranging from 110 to 146 nm,29 from whole blood spiked with HIV or from HIV-infected patient blood samples.
We evaluated the effect of pore size on plasma separation using four filter membranes of different pore sizes (0.4, 1, 2, and 3 μm) and measured the passage rates of blood components. For the pore sizes ranging from 0.4 to 3 μm, WBC concentrations in the filtrate were below 0.3 × 103/μL, compared to 6.5 × 103/μL in whole blood (Figure 2A); the RBC concentrations in the filtrate were less than 0.45 × 106/μL, compared to 5.0 × 106/μL in whole blood (Figure 2B); and the platelet concentrations in the filtrate were below 28.5 × 103/μL, compared to 203.7 × 103/μL in whole blood (Figure 2C). The size constraint by the filter was also reflected in the passage rates of these blood components in the filtrate (Figure 2D). For the pore size of 0.4 μm, the passage rates of WBCs, RBCs, and platelets were below 2.1%, indicating that these blood components can be separated from plasma by size exclusion–based filter microchips (Figure 2D). It was also observed that by using a 3 μm pore size microchip, a considerable amount of WBCs and RBCs passed through the filters, with the passage rate increasing to 25.1% and 49.7%, respectively. The passage rates of platelets were 47.7%, 67.7%, and 74.6%, using microchips with pore sizes of 1, 2, and 3 μm, respectively. These results indicated that larger pore sizes allowed more cells and platelets to pass through the filter microchip. It should be noted that 0.4 μm filters clogged rapidly since the collected volume of filtrate was 55 ± 6 μL. The collected filtrate volumes were 159 ± 10, 197 ± 8, and 220 ± 5 μL for 1, 2 and 3 μm diameter filters, respectively. Thus, we selected the 2 μm pore–sized filter for further evaluation, as it represented the best balance between high selectivity and high filtrate yield.
Secondly, we evaluated the effect of wash volume on plasma separation using PBS. For a filter size of 2 μm, the collected volumes at the outlet were 103 ± 6, 202 ± 14, 307 ± 6, and 403 ± 15 μL for wash volumes of 200, 300, 400, and 500 μL, respectively. The passage rates of WBCs, RBCs, and platelets increased as more wash buffer passed through a filter (Figure 3). For example, the passage rate of platelets increased from 30% to 76% when the wash volume increased from 200 to 500 μL. For WBCs, the passage rate remained at approximately 10% for the wash volumes of 300, 400, and 500 μL. In comparison, the passage rates of RBCs were 19.1% ± 2.4%, 19.7% ± 2.6%, and 29.0% ± 3.1% for the wash volumes of 300, 400, and 500 μL, respectively. It was observed that the average passage rate of RBCs (22.6% ± 5.0%) was higher than that of WBCs (10.8% ± 2.2%) when the wash volume was larger (300–500 μL). These results indicated that larger wash buffer could pass more platelets and RBCs through the filter microchip, which may be due to the deformability of RBCs.34 Thus, we chose a wash volume of 300 μL for the following experiments to maximize the analyte yield and minimize the number of blood cells passing through the filter.
Third, we evaluated the effect of flow rate on the passage rate of blood components, in which a micropump was used to set a flow rate ranging from 100 to 500 μL/minute (Figure 4). Although the device was designed to be operated by manual flow, we evaluated the filtration performance using a flow pump to set up flow rates within the range that manual pipetting may vary. We observed that the concentrations of WBCs in the filtrate remained below 0.2 × 103/μL (Figure 4A). In comparison, the concentrations of RBCs increased from 0.11 × 106 cells/μL to 0.22 × 106 cells/μL, as the flow rate increased from 100 to 500 μL/minute (Figure 4B). Under these flow rates, the platelet concentration in the filtrate increased from 24.3 to 27.7 × 103/μL (Figure 4C). The passage rates of blood components at different flow rates are shown in Figure 4D. The passage rates of WBCs and platelets were not significantly affected by flow rates, with an average passage rate of 10.8% ± 1.6%, and 65.8% ± 1.9%, respectively. There was an increase in the passage rate of RBCs from 11.5% ± 5.7% to 25.2% ± 5.9%, as the flow rate increased from 100 to 500 μL/min. The increase in the passage of RBCs could be due to high flow rates that exert more shear stress on cells and subsequently force RBCs through the filter pores. The passage rates of blood components are summarized in Table 1. As shown in Figure 4 and Table 1, the evaluated flow rates did not significantly affect the passage rates of blood components, which leads to the conclusion that the flow rate of manual pipetting (within the evaluated flow-rate range) can be used for plasma separation and virus isolation without using a micropump.
Lastly, we assessed HIV recovery on-chip by employing 1 and 2 μm pore–sized filters by manual pipette-based, pump-free separation (Figure 5). To prepare HIV samples, we spiked three concentrations (103, 104, and 105 RNA copies/mL) of HIV into whole blood, because current clinical practice recommends 1000–10,000 RNA copies/mL to monitor antiretroviral treatment in resource-constrained settings.35–37 The measured HIV concentrations in the control (without on-chip filtration) were 624, 12,873, and 114,390 copies/mL. The measured HIV concentrations after filtration using microchips of 1-μm pore size were 456, 9280, and 85,173 copies/mL, leading to recovery rates of 74.5% ± 2.4%, 72.1% ± 2.4%, and 73.1% ± 2.4%, respectively (Figure 5A). For the 2 μm pore–size microchip, measured HIV concentrations after filtration were 488, 10,358, and 102,840 copies/mL, leading to recovery rates of 89.9% ± 5.0%, 80.5% ± 4.3%, and 78.2% ± 3.8%, respectively (Figure 5A). These data demonstrate that the presented device can be potentially used for clinical testing. Statistical analysis revealed that 2 μm pore–sized microchips had a higher recovery of HIV viruses than 1 μm pore–sized microchips only at 1000 copies/mL (P < 0.05). In addition, we evaluated our devices using anonymous discarded HIV-infected patient blood samples (Figure 5B). The results showed that 1 μm pore–sized filters had a recovery ranging from 74.2% ± 7.3% to 84.6% ± 4.7%, and 2 μm pore– sized filters had a recovery ranging from 73.1% ± 8.3% to 82.5% ± 4.1%. One-way analysis of variance showed that there was no statistical significance in HIV recovery between these two microchips.
The significant difference in HIV recovery at 1000 copies/mL may be attributed to variations in RT-PCR at such a low input of HIV RNA in the reaction. At 1000 copies/mL of HIV spiked in whole blood, loading of 40 μL blood only led to 40 copies of HIV particles in the inlet chamber. Assuming 100% recovery of virus isolation and RNA extraction, 7.5 μL of RNA out of 50 μL extract in RT resulted in six copies of HIV cDNA (twelve copies of LTR DNA), which were further split into two reactions of PCR. In this case, only six copies of HIV LTR were amplified in PCR, which may have led to the difference in HIV recovery at 1000 copies/mL (Figure 5A). By contrast, there was no significant difference in HIV recovery at higher concentrations. Nevertheless, we cannot exclude the possibility that 2 μm pore–sized microchips may allow more free viruses to pass through, since 1 μm pore–sized microchips resulted in relatively lower volumes of filtrate. The 2 μm pore–sized microchips left 0.13 × 103 cells/μL of WBCs (Figure 2) in the filtrate, compared to a standard centrifugation protocol (1000 g, twice for 10 minutes), which removed nearly 100% of blood cells.
In this study, we demonstrated successful and reliable recovery of HIV particles from whole blood using a filter-based microchip without requiring a micropump. The presented filter microchip can be used to separate plasma for POC testing, including initial sample processing in a microfluidic-based ELISA or PCR virus-detection system. Generally, plasma samples, rather than whole blood, are needed in PCR and ELISA for optimal results. As such, microfluidic-based isolation of plasma samples would facilitate POC testing when integrated with microchip-based immunoassay and nucleic acid amplification,5,38–40 as well as sensing technologies such as surface plasmon resonance,16 photonic crystal-based sensors,17 and spectral reflectance imaging biosensors.41 The example that we demonstrated was virus isolation on-chip, which can facilitate HIV viral load testing in resource-constrained settings since the viral load is defined as the free circulating viruses in plasma. The microchip platform can also be modified to provide sample processing for a host of other applications. Since the virus size is below 1 μm, the developed filter microchip, in principle, can be used as a generic virus–filtration device. Another potential application is that the device may be adapted for filtration of mycobacterium TB, which is approximately 2–4 μm in length and 0.2–0.5 μm in width. This application may require pore sizes as large as 4 μm of efficient separation for mycobacterium TB, since sputum may clog the filter easily due to viscosity.
An apparent advantage of the filter microchip is that the used materials (10¢ on PMMA, and 67¢ on filter membrane) significantly reduce the cost associated with plasma separation in a laboratory setting (consumables and a centrifuge). The filter device was designed to be disposable and inexpensive, thus avoiding contamination between samples. In addition, there is no involvement of antibodies or nucleic acids in the microchip that could degrade with heat or humidity. Thus, the device can be robust at various temperature and humidity conditions. Although hand-cranked centrifuges can be potentially used to provide the required centrifugal forces for plasma separation, they require an operator to continuously crank the centrifuge over a period of time (eg, 10 minutes), which is tedious and may lead to operator-to-operator variations. There have also been efforts to use an eggbeater to separate plasma from blood.42 However, manual centrifugation requires more hands-on time, and this process cannot be readily integrated with on-chip analytical systems. In comparison, the filter microchip only takes a minute to complete the plasma/virus separation, significantly decreasing the turnaround time. Another potential solution to plasma separation at the POC might be to place a filter in a pipette tip. However, the effective filtering area can be considerably limited by the size of pipette tips, which may result in low yields in plasma separation. In addition, fixing the filter in the pipette tips may be technically difficult, and it would be difficult to control the flow, thus causing variations from operator to operator.
In conclusion, we developed a disposable, pump-free, size exclusion–based filter microchip that can be used for plasma and virus separation from unprocessed whole blood samples in resource-constrained settings. Initially, we evaluated the microchip at various flow rates and showed that the flow rate does not affect the HIV recovery rates from whole blood. These evaluated flow rates overlap with range of manual pipetting. Then, we demonstrated that the microchip produces high yields of separated HIV particles and plasma using only manual pipetting, eliminating the complexity of using a micropump. Due to its simplicity, this microfluidic device can be potentially integrated with HIV microchip diagnostic systems, on-chip ELISA and PCR sensing methodologies, and optical detection modalities, thus realizing comprehensive sample-to-result testing. This would eliminate the need for peripheral instruments for plasma separation. Since the pore size of the filter is adjustable, the microchip could be broadly adapted for applications targeting other pathogens, including viruses such as influenza, allowing rapid sample processing and blood screening at the POC.
The authors report no conflicts of interest in this work.
We would like to acknowledge NIH R01 A1081534, NIH R01-A1093282, R21 AI087107, NIH U54EB015408, and R21 HL095960. Also, this work was made possible by a research grant that was awarded and administered by the United States Army Medical Research and Materiel Command (USAMRMC) and the Telemedicine and Advanced Technology Research Center (TATRC), at Fort Detrick, MD.
|1.||Joint United Nations Programme on HIV/AIDS (UNAIDS)UNAIDS Report on the Global AIDS Epidemic 2010Year: 2010 Available from: http://www.unaids.org/documents/20101123_GlobalReport_em.pdf. Accessed July 18, 2012|
|2.||Vijaykrishna D,Poon LL,Zhu HC,et al. Reassortment of pandemic H1N1/2009 influenza A virus in swineScienceYear: 2010328152920558710|
|3.||Cohen J. Swine flu pandemic. What’s old is new: 1918 virus matches 2009 H1N1 strainScienceYear: 20103271563156420339037|
|4.||Moon S,Gurkan UA,Blander J,et al. Enumeration of CD4+ T-cells using a portable microchip count platform in Tanzanian HIV-infected patientsPLoS OneYear: 20116e2140921754988|
|5.||Wang S,Zhao X,Khimji I,et al. Integration of cell phone imaging with microchip ELISA to detect ovarian cancer HE4 biomarker in urine at the point-of-careLab ChipYear: 2011113411341821881677|
|6.||Gurkan UA,Anand T,Tas H,et al. Controlled viable release of selectively captured label-free cells in microchannelsLab ChipYear: 201111233979398922002065|
|7.||Alyassin MA,Moon S,Keles HO,et al. Rapid automated cell quantification on HIV microfluidic devicesLab ChipYear: 200993364336919904402|
|8.||Bhattacharyya A,Klapperich CA. Microfluidics-based extraction of viral RNA from infected mammalian cells for disposable molecular diagnosticsSens Actuators B ChemYear: 2008129693698|
|9.||Bhattacharyya A,Klapperich CM. Thermoplastic microfluidic device for on-chip purification of nucleic acids for disposable diagnosticsAnal ChemYear: 20067878879216448052|
|10.||Al-Soud WA,Radstrom P. Purification and characterization of PCR-inhibitory components in blood cellsJ Clin MicrobiolYear: 20013948549311158094|
|11.||Chakravarti A,Rawat D,Yadav S. Whole blood samples as an alternative to serum for detection of immunity to measles virus by ELISADiagn Microbiol Infect DisYear: 20034756356714711476|
|12.||Raivio T,Korponay-Szabó IR,Paajanen T,et al. Comparison of a novel whole blood transglutaminase-based ELISA with a whole blood rapid antibody test and established conventional serological celiac disease assaysJ Pediatr Gastroenterol NutrYear: 20084756256718979578|
|13.||Wang S,Esfahani M,Gurkan UA,Inci F,Kuritzkes DR,Demirci U. Efficient on-chip isolation of HIV subtypesLab ChipYear: 2012121508151522391989|
|14.||Kim YG,Moon S,Kuritzkes DR,Demirci U. Quantum dot-based HIV capture and imaging in a microfluidic channelBiosens BioelectronYear: 20092525325819665685|
|15.||Santiago-Cordoba MA,Boriskina SV,Vollmer F,Demirel MC. Nanoparticle-based protein detection by optical shift of a resonant microcavityAppl Phys LettYear: 201199073701|
|16.||Trevino J,Calle A,Rodriguez-Frade JM,Mellado M,Lechuga LM. Surface plasmon resonance immunoassay analysis of pituitary hormones in urine and serum samplesClin Chim ActaYear: 2009403566219361471|
|17.||Kim SM,Zhang W,Cunningham BT. Photonic crystals with SiO2-Ag “post-cap” nanostructure coatings for surface enhanced Raman spectroscopyAppl Phys LettYear: 200893143112|
|18.||Gurkan UA,Moon S,Geckil H,et al. Miniaturized lensless imaging systems for cell and microorganism visualization in point-of-care testingBiotechnol JYear: 2011613814921298800|
|19.||Lee WG,Kim YG,Chung BG,Demirci U,Khademhosseini A. Nano/microfluidics for diagnosis of infectious diseases in developing countriesAdv Drug Deliv RevYear: 20106244945719954755|
|20.||Wang S,Xu F,Demirci U. Advances in developing HIV-1 viral load assays for resource-limited settingsBiotechnol AdvYear: 20102877078120600784|
|21.||Zhang JL,Guo QQ,Liu M,Yang J. A lab-on-CD prototype for high-speed blood separationJ Micromech MicroengYear: 200818125025|
|22.||Li TJ,Zhang LM,Leung KM,Yang J. Out-of-plane microvalves for whole blood separation on lab-on-a-CDJ Micromech MicroengYear: 201020105024|
|23.||Walker GM,Beebe DJ. A passive pumping method for microfluidic devicesLab ChipYear: 2002213113415100822|
|24.||Yang S,Undar A,Zahn JD. A microfluidic device for continuous, real time blood plasma separationLab ChipYear: 2006687188016804591|
|25.||Dimov IK,Basabe-Desmonts L,Garcia-Cordero JL,Ross BM,Ricco AJ,Lee LP. Stand-alone self-powered integrated microfluidic blood analysis system (SIMBAS)Lab ChipYear: 20111184585021152509|
|26.||Qin L,Vermesh O,Shi Q,Heath JR. Self-powered microfluidic chips for multiplexed protein assays from whole bloodLab ChipYear: 200992016202019568669|
|27.||Yager P,Domingo GJ,Gerdes J. Point-of-care diagnostics for global healthAnnu Rev Biomed EngYear: 20081010714418358075|
|28.||Thorslund S,Klett O,Nikolajeff F,Markides K,Bergquist J. A hybrid poly(dimethylsiloxane) microsystem for on-chip whole blood filtration optimized for steroid screeningBiomed MicrodevicesYear: 20068737916491334|
|29.||Gentile M,Adrian T,Scheidler A,et al. Determination of the size of HIV using adenovirus type 2 as an internal length markerJ Virol MethodsYear: 19944843527962259|
|30.||Moon S,Keles HO,Ozcan A,et al. Integrating microfluidics and lensless imaging for point-of-care testingBiosens BioelectronYear: 2009243208321419467854|
|31.||Wang S,Inci F,Chaunzwa TL,et al. Portable microfluidic chip for detection of Escherichia coli in produce and bloodInt J NanomedicineYear: 201272591260022679370|
|32.||Candotti D,Temple J,Owusu-Ofori S,Allain JP. Multiplex real-time quantitative RT-PCR assay for hepatitis B virus, hepatitis C virus, and human immunodeficiency virus type 1J Virol MethodsYear: 2004118394715158067|
|33.||Young B,Lowe J,Stevens A,Heath JW. Wheater’s Functional Histology: A Text and Color Atlas5th edEdinburghChurchill LivingstoneYear: 2006|
|34.||Park Y,Best CA,Auth T,et al. Metabolic remodeling of the human red blood cell membraneProc Natl Acad Sci U S AYear: 20101071289129420080583|
|35.||Stevens WS,Scott LE,Crowe SM. Quantifying HIV for monitoring antiretroviral therapy in resource-poor settingsJ Infect DisYear: 2010201Suppl 1S16S2620225942|
|36.||Tanriverdi S,Chen L,Chen S. A rapid and automated sample-to-result HIV load test for near-patient applicationJ Infect DisYear: 2010201Suppl 1S52S5820225947|
|37.||Usdin M,Guillerm M,Calmy A. Patient needs and point-of-care requirements for HIV load testing in resource-limited settingsJ Infect DisYear: 2010201Suppl 1S73S7720225951|
|38.||Hosokawa K,Omata M,Maeda M. Immunoassay on a power-free microchip with laminar flow-assisted dendritic amplificationAnal ChemYear: 2007796000600417614367|
|39.||LaBarre P,Hawkins KR,Gerlach J,et al. A simple, inexpensive device for nucleic acid amplification without electricity-toward instrument-free molecular diagnostics in low-resource settingsPLoS OneYear: 20116e1973821573065|
|40.||Liu C,Qiu X,Ongagna S,et al. A timer-actuated immunoassay cassette for detecting molecular markers in oral fluidsLab ChipYear: 2009976877619255658|
|41.||Daaboul GG,Vedula RS,Ahn S,et al. LED-based interferometric reflectance imaging sensor for quantitative dynamic monitoring of biomolecular interactionsBiosens BioelectronYear: 2011262221222720980139|
|42.||Wong AP,Gupta M,Shevkoplyas SS,Whitesides GM. Egg beater as centrifuge: isolating human blood plasma from whole blood in resource-poor settingsLab ChipYear: 200882032203719023465|
Keywords: microchip, filtration, virus isolation, plasma separation, point-of-care.
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