Brent Kalish1, Jianhou Zhang1, Hilary Edema2, James Luong1, Jenna Roper3, Chad Beaudette1, Richard Echodu2,4, Hideaki Tsutsui1,3. 1. Department of Mechanical Engineering, University of California Riverside, Riverside, CA, USA. 2. Gulu University Bioscience Research Laboratories, Gulu, Uganda. 3. Department of Bioengineering, University of California Riverside, Riverside, CA, USA. 4. Department of Biology, Faculty of Science, Gulu University, Gulu, Uganda.
Abstract
In paper-based microfluidics, the simplest devices are colorimetric, giving qualitative results. However, getting quantitative data can be quite a bit more difficult. Distance-based devices provide a user-friendly means of obtaining quantitative data without the need for any additional equipment, simply by using an included ruler or calibrated markings. This article details the development of a quantitative DNA detection device that utilizes the aggregation of polystyrene microspheres to affect the distance that microspheres wick through filter paper. The microspheres are conjugated to single-stranded DNA (ssDNA) oligomers that are partially complementary to a target strand and, in the presence of the target strand, form a three-strand complex, resulting in the formation of aggregates. The higher the concentration of the target strand, the larger the aggregate, and the shorter the distance wicked by the microspheres. This behavior was investigated across a wide range of target concentrations and under different incubation times to understand aggregate formation. The device was then used to successfully detect a target strand spiked in extracted plant DNA.
In paper-based microfluidics, the simplest devices are colorimetric, giving qualitative results. However, getting quantitative data can be quite a bit more difficult. Distance-based devices provide a user-friendly means of obtaining quantitative data without the need for any additional equipment, simply by using an included ruler or calibrated markings. This article details the development of a quantitative DNA detection device that utilizes the aggregation of polystyrene microspheres to affect the distance that microspheres wick through filter paper. The microspheres are conjugated to single-stranded DNA (ssDNA) oligomers that are partially complementary to a target strand and, in the presence of the target strand, form a three-strand complex, resulting in the formation of aggregates. The higher the concentration of the target strand, the larger the aggregate, and the shorter the distance wicked by the microspheres. This behavior was investigated across a wide range of target concentrations and under different incubation times to understand aggregate formation. The device was then used to successfully detect a target strand spiked in extracted plant DNA.
Entities:
Keywords:
DNA detection; aggregation; distance-based; microsphere; paper-based
Recently, paper-based microfluidics have attracted interest for their promise of
providing low-cost point-of-care diagnostics. Paper-based devices are low-cost,
lightweight, and often very user-friendly, ideal attributes for use in
resource-limited settings and by those without extensive technical training. One of
the most common types is lateral flow devices, which generally only provide
qualitative or semiquantitative results.[1,2] Many existing quantitative
devices require cameras to determine color intensity,[3,4] or multimeters to determine current[5] or resistance[6] changes, from which analyte concentrations can be determined. Distance-based
methods, however, have been proposed to be the ideal solution for providing
instrument-free, quantitative results.[7-9] These methods often utilize a
color-changing reaction that occurs as fluid wicks along a channel, where the length
of the colored region corresponds to the concentration of the targeted
analyte.[9-16] The specific reaction used
depends on the target analyte, requiring each new device to be designed for a
different suitable reaction. Other distance-based methods utilize other mechanisms,
such as fluid viscosity[17] or blood coagulation,[18] affecting wicking speeds. Here we build upon our previous work[19] and investigate the process of aggregate formation and the viability of
detecting targeted DNA in extracted plant material.The mechanism behind this detection method is the target-induced aggregation of two
populations of microspheres, each conjugated to noncomplementary DNA oligomer probes
(
). The probes are each partially complementary to the target analyte. Upon
addition of the target to a mixture of the microspheres, they begin to aggregate.
Unaggregated, the microspheres are small enough to wick through the paper substrate
unimpeded, but when aggregated, there are fewer available microspheres to wick
through the paper and the aggregates themselves are too large to wick through the
paper’s pores. The degree of aggregation directly affects the distance wicked, with
larger aggregates (caused by higher analyte concentrations) resulting in shorter
wicked distances.
Figure 1.
Process flow of the proposed microsphere aggregation and distance-based ssDNA
detection scheme. (A) Microspheres conjugated to two different
noncomplementary oligomers are mixed together. (B) Samples
containing the targeted strand are added to the microsphere mixture.
(C) The microsphere solution is incubated at 45 °C for 30
min. (D) The microsphere solution is deposited in the channel
inlet, where channels have been defined using solid wax printing.
(E) The microspheres in solutions containing the target
strand have aggregated, resulting in reduced wicking distances.
Process flow of the proposed microsphere aggregation and distance-based ssDNA
detection scheme. (A) Microspheres conjugated to two different
noncomplementary oligomers are mixed together. (B) Samples
containing the targeted strand are added to the microsphere mixture.
(C) The microsphere solution is incubated at 45 °C for 30
min. (D) The microsphere solution is deposited in the channel
inlet, where channels have been defined using solid wax printing.
(E) The microspheres in solutions containing the target
strand have aggregated, resulting in reduced wicking distances.
Materials and Methods
Paper-Based Microfluidic Device Fabrication
The device was patterned in SolidWorks (Dassault Systèmes, Vélizy-Villacoublay,
France) and printed onto Whatman grade 4 filter paper (GE Life Sciences,
Pittsburgh, PA) using a solid wax ink printer (ColorQube 8880; Xerox, Norwalk,
CT). The wax was then melted in an oven (FD 53; Binder, Tuttlingen, Germany) at
170 °C for 2 min, allowing it to penetrate the thickness of the paper. The paper
was then run through the printer again, printing a solid layer of wax across the
bottom side. The bottom of the paper was then sealed using packing tape to
prevent leakages. The ruler markings have 2 mm spacing. depicts the device’s layered structure.
Conjugation of ssDNA to Microspheres
Stock 10% solid 1 µm polystyrene latex carboxylated microspheres (Magsphere,
Pasadena, CA) were washed 3× in 10 mM 2-(N-morpholino)
ethanesulfonic acid (MES) and diluted to 3% solid. The microsphere solution was
then mixed with one of the single-stranded DNA (ssDNA) probes (probe A or probe
B) at a 1:4 probe-to-surface carboxyl ratio and excess
1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) and
N-hydroxysuccinimide (NHS). After a 30 min incubation,
additional EDC and NHS were added before another 30 min incubation period.
Afterward, the microsphere solution was washed once in 1% Tween-20 in 10 mM
phosphate-buffered saline (PBS), returned to 3% solid, and then washed 2× in 10
mM PBS. The sequences of all strands used in this study are listed in
.[20] All chemicals were purchased from Sigma-Aldrich (St. Louis, MO) and DNA
was purchased from Integrated DNA Technologies (Coralville, IA).
Strands C and D were generated randomly for this study.
Probe and Target Sequences.Strands C and D were generated randomly for this study.
DNA Extraction from Plant Leaves
DNA was extracted from sour orange (Citrus ×
aurantium) leaves using Plant DNAzol (Thermo Fisher
Scientific, Waltham, MA) according to the manufacturer’s recommended protocol
(). Briefly, leaf tissue was homogenized using a mortar and pestle.
Homogenized tissue was then mixed with DNAzol and chloroform before centrifuging
at 12,000g for 15 min. The upper aqueous phase was then removed
and DNA was precipitated using 100% ethanol. The DNA was pelleted via
centrifugation at 5000g for 4 min and then washed with a 1:0.75
DNAzol–ethanol solution, followed by a wash with 75% ethanol. The DNA was then
dissolved using 8 mM NaOH (100 µL/200 mg of leaf tissue) and neutralized using
HEPES buffer. The DNA concentration of the extracts ranged from 90 to 130 ng/µL.
Extracts were spiked with our target strand, A′-B′, before or after the
extraction process. All chemicals were purchased from Sigma-Aldrich (St. Louis,
MO).
Wicking Test Protocol
Microsphere solutions (30 µL, 2% solid) comprising equal parts probe A-conjugated
microspheres, probe B-conjugated microspheres, and target strand (A′-B′) were
incubated for 30 min at 45 °C to promote hybridization and then deposited in the
inlets of 2 mm wide wax-printed paper-based microfluidic channels. The channels
were left to wick for approximately 15 min in a humidity chamber (Model 5503;
Electro-Tech Systems, Glenside, PA) kept at 55% relative humidity and 23 °C. For
ease of differentiating which probe was conjugated to which set of microspheres,
red and blue microspheres were used. For the fluorescent tests, red and green
fluorescent microspheres were used instead.
Aggregate Size Analysis
Custom 1 µL wells were constructed using laser-cut 0.5 mil polyamide tape
(Caplinq, Orléans, ON, Canada) stuck to glass microscope slides. Wells were
capped with an ultrathin (0.085–0.115 mm) coverslip (Thorlabs, Newton, NJ) and
observed under 100× magnification using a DM2000 fluorescent microscope (Leica
Microsystems, Wetzlar, Germany). The aggregate observation wells are depicted in
.
Results and Discussion
Size-Based Wicking
The Whatman grade 4 filter paper chosen for these experiments is described as
having a particle retention size of 22–25 µm. This is a descriptor of a filter
paper’s filtration and does not correspond to the sizes of particles capable of
lateral wicking.
depicts the relative difference in wicking distances of solutions
containing 2% solid microspheres of different sizes. The smallest microspheres,
150 nm, traveled the farthest, more than 40 mm, while the largest microspheres,
10 µm, were too large to wick at all and sat on the surface of the paper. The 1
µm microspheres were chosen for subsequent experiments, as preliminary studies
found that the 150 nm microspheres did not readily form aggregates large enough
to significantly change their overall wicking distance.
Figure 2.
Size-based wicking. (A) Wicking distances of 2% solid
microsphere solutions in the paper channels. Microsphere solution (30
µL) was added to the center of each inlet. Scale bar is 5 mm.
(B) Average wicking distances measured from the top of
the inlet. Data are displayed as mean ± standard deviation
(N = 20).
Size-based wicking. (A) Wicking distances of 2% solid
microsphere solutions in the paper channels. Microsphere solution (30
µL) was added to the center of each inlet. Scale bar is 5 mm.
(B) Average wicking distances measured from the top of
the inlet. Data are displayed as mean ± standard deviation
(N = 20).
Microsphere Concentration
In order to determine how wicking distances were affected by microsphere
concentration, two experiments were run using the 1 µm microspheres. The first
maintained a constant volume (30 µL) with varying concentrations, while the
second kept the number of microspheres constant as the concentration (and
overall solution volume) changed. Solutions containing 1%, 2%, and 3% solid
microspheres were tested. When volumes were held constant, decreasing
microsphere concentration resulted in channels that were paler and wicked
slightly shorter distances (
); however, when microsphere quantities were held constant, as the
concentration of microspheres decreased (and volume increased), the distances
wicked increased (
). As shown in
, the actual volume of liquid used seems to play a larger role in wicking
distances than the actual quantity of microspheres. Larger volumes (and
corresponding lower microsphere concentrations) were tested (not shown), but
almost universally leaked, as their volumes exceeded the channels’ capacity.
This excess liquid eventually leaked through the unmelted wax barrier at the
bottom of the channel and slipped under the melted wax walls.
Figure 3.
Microsphere solution optimizations. (A) Constant volume.
Wicking distances of 1%–3% solid microspheres in the paper channels when
the volume liquid deposited in each channel is kept constant (30 µL).
(B) Constant quantity. Wicking distances of 1%–3% solid
microspheres in the paper channels when the quantity of microspheres in
each channel is kept constant. (C) Surfactant optimization.
Wicking distances of 2% solid microspheres in Whatman grade 4 filter
paper in solutions containing different Tween-20 concentrations.
(D) Constant volume average wicking distances measured
from the top of the inlet (N = 6). (E)
Constant quantity average wicking distances measured from the top of the
inlet (N = 4). (F) Surfactant optimization
average wicking distances measured from the top of the inlet
(N = 10). Data are displayed as mean ± standard
deviation. Scale bars are 5 mm.
Microsphere solution optimizations. (A) Constant volume.
Wicking distances of 1%–3% solid microspheres in the paper channels when
the volume liquid deposited in each channel is kept constant (30 µL).
(B) Constant quantity. Wicking distances of 1%–3% solid
microspheres in the paper channels when the quantity of microspheres in
each channel is kept constant. (C) Surfactant optimization.
Wicking distances of 2% solid microspheres in Whatman grade 4 filter
paper in solutions containing different Tween-20 concentrations.
(D) Constant volume average wicking distances measured
from the top of the inlet (N = 6). (E)
Constant quantity average wicking distances measured from the top of the
inlet (N = 4). (F) Surfactant optimization
average wicking distances measured from the top of the inlet
(N = 10). Data are displayed as mean ± standard
deviation. Scale bars are 5 mm.The high dependence of the microspheres’ overall wicking distances on the
deposited volume (
) suggests that the sensor’s performance will be highly susceptible to
variations in ambient relative humidity and temperature, as low relative
humidity and high temperature can result in considerable evaporation of the
deposited liquid before it has wicked the full distance through the paper.
Evaporation will not only result in a reduction in volume of the wicking fluid,
but also increase the concentration of the microspheres, further compounding a
reduction in overall wicking distances. All wicking experiments were performed
in a humidity chamber kept at a constant relative humidity (55%) and temperature
(23 °C); however, for use outside a lab, care will need to be taken to seal the
sensor to eliminate any variation based on the user’s ambient environmental
conditions.
Surfactant Concentration
The presence of small amounts of a surfactant can significantly increase the
distance wicked by the microspheres. At high concentrations (>1%) of
Tween-20, microsphere solutions were able to penetrate the wax boundaries of the
channel, resulting in dramatically reduced wicking distances. Solutions
containing low (<0.1%) or no surfactant resulted in microspheres that did not
travel very far. However, within those bounds, the microspheres are able to wick
much farther (
). In all subsequent experiments, a Tween-20 concentration of 0.1% was
used to minimize the potential for leakage while maximizing wicking
distances.
Target Concentration-Dependent Wicking
As a demonstration of the viability of this detection mechanism to quantify
ssDNA, microspheres conjugated with probe A and probe B were mixed with a target
strand, an oligomer partially complementary to both probes (A′-B′), and were
then incubated for 30 min at 45 °C before being deposited into channels made on
Whatman grade 4 filter paper (
). At lower target concentrations (10 nM–1 µM), the distance wicked by
the microspheres was inversely proportional to the target concentration (shorter
distances at higher concentrations), while at higher concentrations (>1 µM),
the distance traveled was proportional to the target concentration (longer
distances at higher concentrations). When mixed with oligomers only
complementary to one (strand C) or neither (strand D) probe, the microspheres
failed to aggregate and displayed nearly identical wicking behavior to
microspheres mixed with only H2O, suggesting that the aggregation is
hybridization induced. The overlapping standard deviations found at the low- and
zero-target concentrations are a result of the overall wicking distances for
those conditions being near the maximum possible wicking distance for that
concentration and quantity of microspheres. As a result, the slight differences
in wicking distances caused by variations in deposited volumes are more
apparent. The paper-to-paper variation also contributes to the large standard
deviations of those conditions. To understand the extent of this effect, the
wicking distances of each channel on each sheet were normalized to the distance
wicked by their respective control channel, deionized (DI) H2O
(). This normalization resulted in a decrease of the relative standard
deviations of all but the 1 mM concentrations by at least 25%.
Figure 4.
Target concentration-dependent wicking. (A) Wicking
distances of 2% solid microsphere solutions in the paper channels. Seven
different A′-B′ linker concentrations were tested, ranging from 1 nM to
1 mM, along with a DI H2O control, and 10 µM strands C and D.
A′-B′ is partially complementary to both probes A and B, while strand C
is partially complementary to only probe A and strand D is not
complementary to either probe. Thirty microliters of 2% solid
microsphere solution (equal parts strand A-conjugated microspheres,
strand B-conjugated microspheres, and linker strand) deposited in the
inlet of each channel after 30 min of incubation at 45 °C. Scale bar is
5 mm. (B) Average wicking distances measured from the top
of the inlet. Data are displayed as mean ± standard deviation
(N = 30). (Two conditions, 1 µM and 10 nM, are
N = 29.)
Target concentration-dependent wicking. (A) Wicking
distances of 2% solid microsphere solutions in the paper channels. Seven
different A′-B′ linker concentrations were tested, ranging from 1 nM to
1 mM, along with a DI H2O control, and 10 µM strands C and D.
A′-B′ is partially complementary to both probes A and B, while strand C
is partially complementary to only probe A and strand D is not
complementary to either probe. Thirty microliters of 2% solid
microsphere solution (equal parts strand A-conjugated microspheres,
strand B-conjugated microspheres, and linker strand) deposited in the
inlet of each channel after 30 min of incubation at 45 °C. Scale bar is
5 mm. (B) Average wicking distances measured from the top
of the inlet. Data are displayed as mean ± standard deviation
(N = 30). (Two conditions, 1 µM and 10 nM, are
N = 29.)The inversely proportional range (10 nM–1 µM) is considered the quantitative
sensing range, as the difference in distances traveled by the microspheres at
each target strand concentration is much larger than that of those in the
proportional region, as shown in
. The proportional wicking behavior at high linker concentrations is
thought to be caused by excess target strands hybridizing to each available
probe, preventing aggregates from forming ().For samples with a high concentration of the targeted strand, that the sample is
in this range is indicated by the presence of aggregates on the surface of the
paper in the channel’s inlet (
), although it appears that at extremely high concentrations this effect
tapers off, likely due to the rapid and overwhelming saturation of target
strands onto the available probes. As such, serial dilutions may be required to
both identify which region the sample is in and lower the target concentration
into the inversely proportional detection range for subsequent detection.
Figure 5.
Aggregate size (projected area) distributions of microspheres mixed with
1 mM, 1 µM, 1 nM, and 0 M A′-B′ with varying incubation times in 15 min
intervals. Five images for each time point and each concentration were
analyzed. Aggregate counts (N) for each condition are
listed below the corresponding time point. The counts for the
t = 0 conditions were low due to the microspheres
being highly dispersed, and nearly all appeared as individual
microspheres.
Aggregate Formation
In order to optimize the incubation step, a thorough understanding of microsphere
aggregate formation is needed. To this end, microsphere mixtures were prepared
as described above and then, at various time intervals, 1 µL samples were
withdrawn and deposited into the aggregate observation wells and observed under
a microscope. The size and growth of the microsphere aggregates are displayed in
a series of violin plots in
. In these violin plots, the x axis of the violin plot
is time and the y axis shows the projected area of the
aggregates. The width of each violin represents the probability density of that
size. The interquartile range is indicated inside each violin as well.Aggregate size (projected area) distributions of microspheres mixed with
1 mM, 1 µM, 1 nM, and 0 M A′-B′ with varying incubation times in 15 min
intervals. Five images for each time point and each concentration were
analyzed. Aggregate counts (N) for each condition are
listed below the corresponding time point. The counts for the
t = 0 conditions were low due to the microspheres
being highly dispersed, and nearly all appeared as individual
microspheres.The microspheres mixed with 1 nM target formed aggregates gradually, and after 60
min a large fraction of the aggregate population remained small. This matches
the previous wicking data that showed microspheres mixed with 1 nM target wicked
the same distance as the 0 M control. Microspheres mixed with 1 µM target, on
the other hand, formed aggregates immediately, and by 60 min nearly all of the
microspheres were bound in aggregates. The largest aggregates were more than 300
µm2. The 1 mM target microspheres formed rather small aggregates,
and the overall size and distribution did not change after 15 min. This seems to
support the explanation that high target concentrations rapidly saturate
microsphere surfaces with target strands, allowing only a short time interval
for aggregate formation ().To confirm that the microspheres were hybridizing with their complementary
microspheres, aggregates made with red and green fluorescent microspheres were
examined under the microscope.
depicts the aggregates of fluorescent microspheres with brightfield and
composite red/green fluorescent filters for 1 mM, 1 µM, 1 nM, and 0 M target
concentrations.
Figure 6.
Microsphere aggregate composition. (A) Brightfield and
composite fluorescent images of 1 µm red and green microspheres mixed
with 1 mM, 1 µM, 1 nM, and 0 M A′-B′ after 60 min of incubation.
(B) Brightfield and fluorescent images of single-color
microspheres mixed with either 1 µM A′-B′ or DI H2O after 60
min of incubation. Scale bars are 5 µm. Arrows indicate the movement of
individual aggregates during the time interval between the brightfield
and fluorescent images.
Microsphere aggregate composition. (A) Brightfield and
composite fluorescent images of 1 µm red and green microspheres mixed
with 1 mM, 1 µM, 1 nM, and 0 M A′-B′ after 60 min of incubation.
(B) Brightfield and fluorescent images of single-color
microspheres mixed with either 1 µM A′-B′ or DI H2O after 60
min of incubation. Scale bars are 5 µm. Arrows indicate the movement of
individual aggregates during the time interval between the brightfield
and fluorescent images.In order to verify that the large aggregates only form from mixtures of the two
populations of microspheres, each probe was tested separately. The single
strands were first tested with DI water, and then tested with 1 µM A′-B′ (
). While some small aggregates did form, the aggregates comprised few
microspheres and looked broadly similar to the microspheres mixed with DI
H2O.
Spiked Plant Extract Detection
Detection of Target ssDNA in Postextraction Spike
Aliquots of DNA extracted from the sour orange leaves were spiked with A′-B′,
resulting in concentrations ranging from 1 nM to 100 µM. These solutions
were then mixed with the microspheres as described above. The wicking
behavior of the spiked mixtures performed broadly similar to those mixed
with A′-B′ in water, but with overall shorter wicking distances (
). The shorter distances are likely due to the higher viscosity of
the resolubilized DNA and other compounds that were precipitated out with
the DNA during the extraction process. Diluting the extracts would likely
solve this issue, but it may reduce sensitivity. A brief example of this is
depicted in .
Figure 7.
Target concentration-dependent wicking with extracted plant DNA.
(A) Wicking distances of 2% solid microsphere
solutions in the paper channels mixed with extracted plant DNA. DNA
extracts from sour orange leaves were spiked with six different
A′-B′ linker concentrations, ranging from 1 nM to 100 µM, along with
a DI H2O control. Two more controls were tested with
microspheres mixed with 1 µM and 0 M A′-B′ in water.
(B) Average wicking distances measured from the top of
the inlet (N = 4). (C) Wicking
distances of 2% solid microsphere solutions in the paper channels
mixed with extracted plant DNA. Sour orange leaves were spiked with
10 µL of 10 µM A′-B′ before extraction, resulting in a nominal
postextraction concentration of 1 µM. (D) Average
wicking distances measured from the top of the inlet
(N = 3). Data are displayed as mean ± standard
deviation. Scale bars are 5 mm.
Target concentration-dependent wicking with extracted plant DNA.
(A) Wicking distances of 2% solid microsphere
solutions in the paper channels mixed with extracted plant DNA. DNA
extracts from sour orange leaves were spiked with six different
A′-B′ linker concentrations, ranging from 1 nM to 100 µM, along with
a DI H2O control. Two more controls were tested with
microspheres mixed with 1 µM and 0 M A′-B′ in water.
(B) Average wicking distances measured from the top of
the inlet (N = 4). (C) Wicking
distances of 2% solid microsphere solutions in the paper channels
mixed with extracted plant DNA. Sour orange leaves were spiked with
10 µL of 10 µM A′-B′ before extraction, resulting in a nominal
postextraction concentration of 1 µM. (D) Average
wicking distances measured from the top of the inlet
(N = 3). Data are displayed as mean ± standard
deviation. Scale bars are 5 mm.
Detection of Target ssDNA in Preextraction Spike
As a proof of concept of detecting a DNA strand present in the leaf sample
before extraction, ground leaf tissue was spiked with A′-B′ before the
extraction, enough to result in a nominal concentration of 1 µM. As depicted
in
, the microsphere mixture mixed with the spiked extract wicked a
shorter distance than the unspiked control. While the distances traveled by
the spiked sample do not match the distance traveled by the 1 µM
postextraction spiked microspheres, the extraction process is not lossless.
The distance traveled does seem to correspond, though, to an A′-B′
concentration of between 10 and 100 nM.
Conclusions
In conclusion, microspheres, when conjugated to appropriately complementary probes,
rapidly form aggregates in the presence of the target. By depositing these
aggregates onto paper, the degree of aggregation can be quantified via the overall
distance traveled by the microspheres. Larger aggregates, formed in relatively high
concentrations of the target strand, result in the shortest wicking distances, due
to the inability of the large aggregates to move through the paper’s pores and due
to an overall reduction in the quantity of discrete microsphere particles in
solution. This length can then be calibrated to determine the concentration of the
targeted DNA strand.In this work, we have successfully demonstrated the quantitative, distance-based
detection of ssDNA in buffer, as well as in extracted plant DNA spiked after
extraction with a target ssDNA strand in a paper-based microfluidic device. Further,
we demonstrated the qualitative detection of a target ssDNA strand added to plant
tissue before DNA extraction. With further calibration, quantitative detection will
also be possible.The plant DNA extraction process used in the above experiments is not very simple or
user-friendly, as it requires repeated centrifugation steps and careful removal of
certain supernatants. Several groups have worked to develop simpler nucleic acid
extraction procedures[21-23] that enable an
untrained user to perform the complete assay. Our lab is also currently developing
methods to simplify the extraction procedure.The direct intended application of this is to detect viral plant pathogens, in
particular the sweet potato viruses sweet potato feathery mottle virus and sweet
potato chlorotic stunt virus, two viruses that cause a coinfection resulting in the
devastating sweet potato virus disease. Both viruses are ssRNA viruses, targets well
suited for the proposed microsphere aggregation method. Beyond nucleic acids,
microsphere aggregation is likely adaptable to a wide variety of potential analytes,
so long as the targets support multiple binding sites.While the device as detailed above has a detection range from 1 nM to 1 µM, suggests that varying incubation temperatures and cooling strategies may
provide for an expanded detection range. For extending the detection range to lower
concentrations, amplification will likely be required. The microsphere aggregation
method as currently described requires a single-stranded output from an
amplification process, which means that many of the common amplification techniques,
like PCR or loop mediated isothermal amplification (LAMP), will not work, as they
produce double-stranded DNA (dsDNA). Some methods do exist for single-stranded
output, such as exponential amplification reaction (EXPAR), which results in ssDNA
output,[24,25] and nucleic acid sequence-based amplification (NASBA), which
results in ssRNA output,[26] and there are some nonenzymatic amplification techniques such as
autocatalytic DNA amplification.[27] It may be possible to adapt the probes to be made from other materials, such
as peptide nucleic acids (PNAs) that can insert themselves into the ends of dsDNA,[28] causing the required aggregation to occur.Click here for additional data file.Supplemental material, SLAS_-_Supplemental_Information_002 for Distance and
Microsphere Aggregation-Based DNA Detection in a Paper-Based Microfluidic Device
by Brent Kalish, Jianhou Zhang, Hilary Edema, James Luong, Jenna Roper, Chad
Beaudette, Richard Echodu and Hideaki Tsutsui in SLAS Technology
Authors: Marta Pozuelo; Pascal Blondeau; Marta Novell; Francisco J Andrade; F Xavier Rius; Jordi Riu Journal: Biosens Bioelectron Date: 2013-06-12 Impact factor: 10.618
Authors: R F Zuk; V K Ginsberg; T Houts; J Rabbie; H Merrick; E F Ullman; M M Fischer; C C Sizto; S N Stiso; D J Litman Journal: Clin Chem Date: 1985-07 Impact factor: 8.327