Alexander J Summers1, Jasmine P Devadhasan1, Jian Gu1,2, Douglas C Montgomery3, Brittany Fischer3, Marcellene A Gates-Hollingsworth4, Kathryn J Pflughoeft4, Tuan Vo-Dinh5, David P AuCoin4, Frederic Zenhausern1,2,6. 1. Center for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States. 2. Department of Basic Medical Sciences, The University of Arizona, College of Medicine, 475 N 5th Street, Phoenix, Arizona 85004, United States. 3. School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona 85287-1004, United States. 4. Department of Microbiology and Immunology, University of Nevada School of Medicine, Reno, Nevada 89557-0705, United States. 5. Fitzpatrick Institute for Photonics, Departments of Biomedical Engineering and Chemistry, Duke University, Durham, North Carolina 27708-0281, United States. 6. Department of Biomedical Engineering, The University of Arizona, College of Engineering, 1127 E James E. Rogers Way, Tucson, Arizona 85721, United States.
Abstract
Antibody microarrays have proven useful in immunoassay-based point-of-care diagnostics for infectious diseases. Noncontact piezoelectric inkjet printing has advantages to print antibody microarrays on nitrocellulose substrates for this application due to its compatibility with sensitive solutions and substrates, simple droplet control, and potential for high-capacity printing. However, there remain real-world challenges in printing such microarrays, which motivated this study. The effects of three concentrations of capture antibody (cAb) reagents and nozzle hydrostatic pressures were chosen to investigate three responses: the number of printed membrane disks, dispensing performance, and microarray quality. Printing conditions were found to be most ideal with 5 mg/mL cAb and a nozzle hydrostatic pressure near zero, which produced 130 membrane disks in a single print versus the 10 membrane disks per print before optimization. These results serve to inform efficient printing of antibody microarrays on nitrocellulose membranes for rapid immunoassay-based detection of infectious diseases and beyond.
Antibody microarrays have proven useful in immunoassay-based point-of-care diagnostics for infectious diseases. Noncontact piezoelectric inkjet printing has advantages to print antibody microarrays on nitrocellulose substrates for this application due to its compatibility with sensitive solutions and substrates, simple droplet control, and potential for high-capacity printing. However, there remain real-world challenges in printing such microarrays, which motivated this study. The effects of three concentrations of capture antibody (cAb) reagents and nozzle hydrostatic pressures were chosen to investigate three responses: the number of printed membrane disks, dispensing performance, and microarray quality. Printing conditions were found to be most ideal with 5 mg/mL cAb and a nozzle hydrostatic pressure near zero, which produced 130 membrane disks in a single print versus the 10 membrane disks per print before optimization. These results serve to inform efficient printing of antibody microarrays on nitrocellulose membranes for rapid immunoassay-based detection of infectious diseases and beyond.
Antibody microarrays are
currently being used for numerous applications
including analysis of proteins, nucleic acids, cell surface proteins,
and simultaneous detection of these analytes.[1−7] They have contributed significantly to “life-omics”,
as well as disease diagnostics and management.[8] In general, antibody arrays are fabricated by immobilizing multiple
antibodies on a solid substrate, such as a chemically treated glass
slide or well plate, or a nitrocellulose (NC) paper membrane, to analyze
antibody–antigen interactions.[9] Due
to the assay cost associated with a large number of antibodies, microarray
fabrication emerged to miniaturize the arrays with thousands of spots
within centimeters.Different technologies have been utilized
to print antibody arrays,
including contact printing (pin, stamp, stencil, and microfluidic
printings), noncontact printing (inkjet printing), lithography printing
(photolithography, electron beam lithography), and atomic force microscopy
(AFM) printing (dip-pen lithography and nanoshaving).[8] Each printing technology has their own merits and drawbacks.
However, current commercial microarray printing systems mainly focus
on two printing technologies, i.e., pin contact printing and inkjet
noncontact printing.[10] Though pin contact
printing can offer the capability of dispensing high-viscosity samples
and ease of control, this method is prone to damaging the substrate,
with lower protein activity, poor precision, and low work efficiency.[11−13] On the other hand, noncontact inkjet printing is advantageous for
printing on NC membranes without damaging the substrate, which is
the main application of this paper.[14]Inkjet printing can be classified as continuous inkjet (CIJ) and
drop-on-demand (DOD) printings by mechanism or thermal and piezoelectric
inkjet printings by actuation.[15] For printing
functional materials, DOD piezoelectric inkjet printing is mostly
used because of the economical ink usage of DOD printing and flexibility
of changing the actuation pulse to control drop size and velocity
for any fluid by piezoelectric printing.[15] Although used commercially, there are still problems reported for
DOD piezoelectric inkjet printing, such as failure of droplet formation,
inaccurate droplet placement etc., which were also observed in our
experiments.[16]Droplet formation,
control, and jet straightness are complex processes
affected by multiple parameters, such as fluid properties of the ink,
printhead design, wetting, and bubbling at the nozzle etc.[17] It is even more complicated to print complex
fluids such as an antibody solution because a change of a single solution
parameter (such as the antibody concentration) can affect multiple
printing properties (such as the fluid viscosity, density, surface
energies of fluid, and fluid/nozzle interface etc.). This prompts
the use of a designed experiment to study the compounded effects of
a single parameter. Furthermore, design of experiments (DOE) is a
structured approach to multivariable testing that allows investigators
to discover cause-and-effect relationships between multiple variables
and responses of interest.[18] In contrast
to changing one-factor-at-a-time (OFAT), DOE makes use of a factorial
experimental strategy that changes factors together, allowing investigators
to determine the effects of the individual factors and interaction
effects between them, which the OFAT strategy is not capable of. These
interactions are widely encountered in experiments involving chemical,
biochemical, biological, electronic, and mechanical systems, and properly
chosen experimental designs allow quantitative modeling between main
effects, interactions, and polynomial effects of important design
factors and the responses of interest.Based on the rationale
mentioned above, this paper describes the
optimization of DOD piezoelectric printing of cAb arrays on NC membranes
for vertical flow immunoassay (VFI) diagnostics of biothreat infectious
disease biomarker YpF1 (F1 antigen of Y. pestis) using DOE. To accomplish
this, a GeSiM Nano-Plotter system (NP2.1) was used. The effects of
cAb concentration and nozzle hydrostatic pressure on the (i) printability
of a condition, defined by the number of NC membrane disks that can
be printed in a single print; (ii) jet straightness captured by the
stroboscopic imaging; and (iii) cAb microarray quality represented
by the misalignment of the printed array and elongation of the spot
were studied. The optimized process improved printability from the
initial 10 VFI membrane disks per print to the final 130 in a single
print. The microarray quality of the printed 130 membrane disks was
analyzed by both real VFI performance and protein staining. After
these analyses, it was determined that the first 50 membrane disks
of such a print had higher microarray quality and would be better
suited for VFI. The DOE approach and our results could offer more
insight into the antibody microarray printing process to support the
efforts of others in the field.
Materials
and Methods
Materials
An NP2.1 piezoelectric
system was purchased from GeSiM, Germany, with an Airwin BO-CT1 humidifier
from BOGA, Germany. A CO2 laser cutter (Versalaser 2.3)
was purchased from Universal Laser Systems, AZ. Nitrocellulose (NC)
membrane sheets of 0.45 μm pore size and 9 cm × 8 cm size
were obtained from Cytiva Life Sciences, MA. Polyethersulfone (PES)
syringe filters of pore size 0.2 μm were obtained from GE Healthcare.
Holders for the NC membrane sheets were CNC-machined (MDX-540, Roland)
in house at the Center for Applied NanoBioscience and Medicine, University
of Arizona—College of Medicine, Phoenix. Yp11C7 (11C7) cAb,
YpF1 antigen (F1), and gold nanoparticle-labeled Yp3F2 (AuNP-3F2)
detection antibody (dAb) were produced in house by the AuCoin Laboratory
at the University of Nevada, Reno. Goat anti-mouse IgM + IgA + IgG
control antibody reagent was purchased from Southern Biotech, Birmingham,
Al. Ponceau S staining solution, PBS, sodium phosphate monobasic and
dibasic, and BSA were obtained from Sigma-Aldrich. Triton X-100 was
obtained from Promega. An optical imager CanoScan 9000F Mark II was
obtained from Canon. Syringe pumps were obtained from New Era Pump
Systems, Inc. Luer-Lock syringes of 5 mL capacity were obtained from
Becton, Dickinson and Company.
Material
Preparation
NC membrane
sheets (9 cm × 8 cm) were prepared into target membranes on a
bench top CO2 laser cutter at 1% power, 100% speed, and
3 mm depth. These target membranes have circular disks (3.5 mm diameter)
cut into them in a 10 × 13 design with fiducial markers for targeting
the cAb dispensing locations during microarray printing (Figure a,b). Target membranes
were stored in a plastic holder and sealed with parafilm until use.
11C7 cAb was diluted to working concentrations (1.5, 2.5, and 5 mg/mL)
using filtered 1× PBS. Control antibody reagent was prepared
to a 0.5 mg/mL working concentration.
Figure 1
NP2.1 setup with a labeled work plate
and desktop components required
for paper-based immunoassay fabrication (a). Target membrane file
from SFE software with an example of a VFI membrane disk depicting
the 9-spot array pattern in colorimetric signal after performing the
immunoassay (b). Block diagram of experimental setup to adjust nozzle
hydrostatic pressure (c).
NP2.1 setup with a labeled work plate
and desktop components required
for paper-based immunoassay fabrication (a). Target membrane file
from SFE software with an example of a VFI membrane disk depicting
the 9-spot array pattern in colorimetric signal after performing the
immunoassay (b). Block diagram of experimental setup to adjust nozzle
hydrostatic pressure (c).
Equipment Setup
In a clean room environment,
a Nano-Plotter NP2.1 was used for noncontact piezoelectric microarray
printing of cAbs onto circular disks of the target membrane as shown
in Figure a. To prevent
evaporation of reagents during printing, an ambient humidity of 55%
was maintained using a humidifier. The nozzle hydrostatic pressure
was controlled during the experiment by either raising (8.57 cm) or
lowering (−11.43 cm) the pressure compensation vessel (PCV)
from the pipette tip height (Figure c). Spot-Front-End (SFE) software was utilized to coordinate
a spotting plan for use in the Nano-Plotter control software (NPC16),
beginning with creating a 9-spot pattern of the antibody microarray.
In the SFE software, this spot pattern was then selected at the first
50 dispensing locations on a target membrane file. A representation
of the target membrane file is shown in Figure b. A 384-well microplate (4309849, Applied
Biosystems) was used to aspirate the antibodies for dispensing. 11C7
was dispensed in 20, 40, or 50 droplets per spot for 5, 2.5, and 1.5
mg/mL solutions, respectively, to saturate the NC membrane at the
top 2 rows (6 spots) of the 9-spot pattern. Twenty droplets of goat
anti-mouse control reagent were dispensed at the bottom 3 spots of
the 9-spot pattern.
Antibody Microarray Fabrication
The
PCV was set to the specified height, and the droplet angle failure
was checked with deionized (DI) water using the stroboscope test feature
to ensure successful dispensing of droplets before running each print.
Test and control reagents were then vortexed and pipetted into wells
of a 384-well microplate corresponding to the locations specified
in the transfer steps of the spotting plan. Target membranes were
loaded onto a glass substrate and placed on the work plate. The fiducial
marks of the target membrane were visualized under a microscope and
specified in the software to determine where to execute the spotting
plan (Figure a). The
SFE program in run mode of NPC16 was utilized for spotting plan execution,
and an advanced wash parameter was input to clean the pipette tip
by aspirating 0.2 M NaOH and performing additional flushing with DI
water before, during, and after microarray printing to clean the pipette
interior and decontaminate for subsequent samples.
Experimental Design
To design the
characterization/optimization experiment, cAb concentration and PCV
height were included as factors in the designed experiment. Since
both factors are quantitative and optimization is the objective, a
reasonable choice of statistical model for the experiment is a second-order
polynomial. The Custom Design platform in the JMP Pro V16 software
(JMP, Version 16. SAS Institute Inc., Cary, NC, 1989–2021)
and the D-optimal criterion were used to construct the design. This
design was constructed, and the optimality criteria was employed according
to previous literature.[19,20] Three levels of each
factor were tested in the experiment: cAb concentrations at 1.5, 2.5,
and 5 mg/mL and PCV heights at −11.43, 0, and 8.57 cm. It was
decided that 9 runs per day was feasible so a 32 factorial
design worked well. The 9-run design produced by the software was
approximately 44% D-efficient and approximately 75% G-efficient.
Since the design would be used both to measure the effects of the
individual factors and for prediction, these design performance measures
are reasonable. There was some correlation between the linear and
quadratic terms that resulted for the nonorthogonal structure of the
design, but this varied between approximately 0.05 and 0.24, and was
not considered problematic. Because a moderately large amount of random
error in the system was anticipated, replicating the original 9-run
design was necessary. Three replicates were decided to be adequate,
with each replicate completed within a day. The experimental strategy
enabled the treatment of replicates as blocks in the statistical analysis
so that variability over time (days) could be eliminated from the
results. This resulted in the 27-run design shown in Table S1 of the Supporting Information. The runs in Table S1 are shown in a standard order; the actual
run order on each day was randomized and is shown in Table .
Table 1
Summary
of the Factor Patterns in
the Order of Occurrencea
factor pattern
cAb concentration (mg/mL)
PCV
height
(cm)
33
5
8.57
11
1.5
–11.43
31
5
–11.43
22
2.5
0
21
2.5
–11.43
13
1.5
8.57
23
2.5
8.57
32
5
0
12
1.5
0
Factor patterns are the combination
of levels (1–3) for each input factor.
Factor patterns are the combination
of levels (1–3) for each input factor.
Recording Printing Responses
After
printing, the membrane disks were dipped into a Ponceau stain to visualize
the spotted cAb. The printability response was determined by staining
these membranes backward from the 50th disc to identify the location
where cAb dispensing first failed.Besides printability, stained
membrane disks were assessed for antibody microarray quality, i.e.,
printing misalignment and spot elongation, by analyzing with ImageJ.[21] The printing misalignment can be calculated
aswhere Δlateral and Δvertical are
the lateral and vertical misalignment, respectively,
as shown in Figure a. The values of Δlateral and Δvertical were calculated using the following equations:where D is the distance between
the adjacent control and test spots, θ is the angle shift of
the test spot from the control spot, and 400 μm is the standard
array period (Figure b).
Figure 2
Example of a stained membrane disc with a right triangle depicting
the misalignment between the actual test spot placement and the ideal
spot location (green circles) (a). A right triangle is shown depicting
the measured distance (D) and angle (θ) used
to determine Δlateral and Δvertical (b).
Example of a stained membrane disc with a right triangle depicting
the misalignment between the actual test spot placement and the ideal
spot location (green circles) (a). A right triangle is shown depicting
the measured distance (D) and angle (θ) used
to determine Δlateral and Δvertical (b).To measure the spot elongation,
the long and short diameters were
measured for each test spot using the line tool in the dropdown menu
of the software controller. Long diameters were divided by the short
diameters and averaged to give the average spot elongation for each
printed membrane disc.For the angle of failure analysis, stroboscope
images that reported
the angle of failure measurement for each print were saved into labeled
folders and a stroboscope score (S score) was determined for each
image by giving a value of 0 for no droplet, 1 for a droplet outside
of the passing range (angle of failure measurement > 11°),
or
2 for a droplet within the passing range. The S scores were summated
for each run and subject to further analysis along with the printability
and misalignment responses.
Immunochromatography Assay
in VFI Devices
Assay buffer (0.1 M phosphate buffer containing
0.1% Triton X-100
and 0.5% BSA, pH 7.2) was spiked with recombinant F1 protein to a
final concentration of 5 and 1 ng/mL. AuNP-3F2 dAb (OD 20) was added
to the solution and incubated for 10 min on a rocker. The 5 mL samples
were then filtered with 0.2 μm PES syringe filters and loaded
into 5 mL Luer-Lock syringes. Samples were flown through a custom-built
VFI device at 0.2 mL/min and dried for 10 min before scanning. After
drying, the VFI membrane disks were scanned with a flatbed optical
scanner (CanoScan 9000 FII) to measure the signal intensity of the
test spots as described in previous literature.[1]
Results
Analysis
of Different cAbs
It was
observed that different cAbs displayed varied success in microarray
printing at concentrations ranging from 0.1 to 10 mg/mL. To begin
investigating this, stroboscope images were examined from a compilation
of different antibody microarray printings. From these stroboscope
images, the angle of failure for printing was measured according to
droplet deviation from the median line (Figure a). The angle of failure measurement before
dispensing was proposed to be negatively associated with the success
of a print for each cAb. For this study, the cAb with the highest
average and largest variability in angle of failure measurement was
selected (Figure b).
After selecting 11C7, an attempt to increase cAb concentration beyond
the 2.5 mg/mL threshold was tested to see whether it would improve
microarray printing. Through trial efforts, the possibility of a receding
meniscus when printing at high cAb concentrations was brought to attention
from the device manufacturers, along with suggestion to attempt increasing
nozzle hydrostatic pressure. Thus, to optimize this antibody microarray
printing process, the two input variables cAb concentration and nozzle
hydrostatic pressure were chosen.
Figure 3
Example of a stroboscope check image captured
when dispensing with
2.5 mg/mL 11C7 and the angle of failure measurement denoted by α
(a). Angle of failure measurements taken during stroboscope checks
before dispensing were averaged for various cAbs (b).
Example of a stroboscope check image captured
when dispensing with
2.5 mg/mL 11C7 and the angle of failure measurement denoted by α
(a). Angle of failure measurements taken during stroboscope checks
before dispensing were averaged for various cAbs (b).
Exploratory Data Analysis
To investigate
the effect of hydrostatic pressure in this designed experiment, 11C7
was aspirated and dispensed under a stroboscope camera while the height
of the PCV was adjusted. It was found that raising the PCV 11.43 cm
caused no droplet formation due to liquid accumulation; however, lowering
the PCV within the range of its tubing did not prevent droplet formation.
Thus, 75% of both the raised height (8.57 cm) that caused liquid accumulation
and the maximum lowered height (−11.43 cm) were selected to
study the PCV height effect with continued dispensing. Exploratory
data analysis revealed that the PCV height has a significant impact
on printability. Printability is plotted against the PCV heights tested
in Figure a. The Tukey
HSD tests for all differences among the means and shows that the average
printability for the PCV height at the level of the pipette tip is
significantly different from the other two heights tested. The largest
difference is between the raised and pipette tip level PCV heights.
The pipette tip level PCV height produces on average 20 membrane disks
more than the raised height with corresponding p-value
= 0.015 (Table S2).
Figure 4
Number of membrane disks
printed by PCV height from the level of
the pipette tip, with horizontal blue lines representing the means
and standard deviations for each group of data points (a). The comparison
circles represent the group mean comparisons using the Tukey–Kramer
HSD (honestly significant difference) test with α = 0.1. Number
of membrane disks printed by cAb concentration (b).
Number of membrane disks
printed by PCV height from the level of
the pipette tip, with horizontal blue lines representing the means
and standard deviations for each group of data points (a). The comparison
circles represent the group mean comparisons using the Tukey–Kramer
HSD (honestly significant difference) test with α = 0.1. Number
of membrane disks printed by cAb concentration (b).The results also show that a higher cAb concentration
may
yield
an increase of printability. The 5 mg/mL concentration was the only
level to produce a number of membrane disks greater than 30 and had
3 data points that resulted in 50 membrane disks (Figure b). These findings are reassuring
because at higher concentrations a lower volume is needed to saturate
NC membranes, up to the adsorption capacity of the substrate.[22] This benefits the printing process because there
is a limitation of 300 spots that can be dispensed by the nano-plotter
in a given line; however, this limitation of spots can vary by the
number of droplets per spot. Therefore, a reduction of droplets with
the higher concentration cAb is favorable. Indeed, other groups have
also recommended the printing of antibodies at the upper end of printer
capacity.[12] However, this increased cAb
concentration also increases the potential for clogging of the pipette
tip. To address this problem, the cleaning procedures chosen to prevent
the buildup of protein aggregates and precipitate comprised brief
0.2 M NaOH incubations within printing runs and an end of day incubation
in a protease detergent (4% Tergazyme) for 30 min. These were followed
by ∼2 mL flushing and 3 min washing cycles of the tip, respectively.
The protease detergent digests proteins well; however, the long incubation
time makes it unsuitable for use within printing runs. Thus, denaturing
proteins with NaOH was selected for within run cleaning. Together,
these procedures permit the continued aspiration and dispensing of
cAbs up to 5 mg/mL with the Nano-Tip A-R-J pipette head (GeSiM, GmbH).
The quality of this dispensing was assessed by the S score which was
determined from stroboscopic imaging within printing runs.
Analysis of the Designed Experiment
The printability
and S score printing responses were analyzed using
the Fit Model platform in JMP Pro V16 to test significance of model
effects and to find the predictability of these results. The effect
estimate summary is listed in Table and includes the estimates of the coefficients in
the full quadratic model for each response. The quadratic term for
the PCV height was statistically significant for both responses, printability
and S score. This relationship is represented graphically by the curvature
seen in the prediction profiler of Figure a.
Coefficient estimates with corresponding p-values below 0.05.
Figure 5
Printability and S score printing response values
were analyzed
with the Fit Model platform in JMP and a prediction profiler was produced
to reflect the program’s expected outcomes for each variable
input (a). The variable inputs that predicted the best outcome are
highlighted in red. Printability (b) and S score (c) response values
were graphically represented as a function of cAb concentration and
PCV height in the response surfaces.
Printability and S score printing response values
were analyzed
with the Fit Model platform in JMP and a prediction profiler was produced
to reflect the program’s expected outcomes for each variable
input (a). The variable inputs that predicted the best outcome are
highlighted in red. Printability (b) and S score (c) response values
were graphically represented as a function of cAb concentration and
PCV height in the response surfaces.Coefficient estimates with corresponding p-values below 0.05.Although
it was suggested that adjusting nozzle hydrostatic pressure
might help with dispensing higher concentration cAb, neither increasing
nor decreasing hydrostatic pressure significantly affected printability
at the higher concentration level. This relationship defines the interaction
term in the model, which was statistically insignificant. The designed
experiment optimized printing conditions for the 11C7 reagent in a
predictive fashion, and the critical parameters are given in Table . The most important
factor that emerged in the printability response was the quadratic
term for the PCV height. Figure a shows the prediction profiler from JMP for this response
with the levels that result in the maximum response represented by
the vertical dotted lines. The horizontal dotted line is the predicted
value of the response at the current factor settings. Notice that
the maximum printability occurs with the high level of cAb concentration
and the PCV height nearest the middle level. In Figure b, the response surface for printability
is shown, depicting a saddle point system. It is apparent here that
the maximum response occurs at the high level of cAb concentration.
The response rapidly drops off as the PCV height changes from the
middle level.Figure c includes
similar plots for the S score response. Once again, the quadratic
effect for the PCV height is significant in characterizing the response.
The maximum value of the S score also occurs when cAb concentration
is at the high level and the PCV height is nearest the middle level.
This response surface in Figure c is a saddle point, and it is clear that the response
decreases rapidly as the PCV height changes from the middle level.
This sharp drop-off effect may be due, in part, to a few reasons.
To analyze the results for all stroboscope checks, we had to create
a value-based system to account for instances where no droplet was
found in frame and no subsequent angle could be recorded. Such instances
occurred due to an inability for a droplet to be ejected from, or
when liquid accumulated at, the tip of the pipette. Both of these
scenarios resulted more often when nozzle hydrostatic pressure was
increased or decreased due to raising or lowering the PCV height.
If droplet formation failed before printing, then no membrane disks
would be printed and a total S score of 0 was given. If it occurred
only after printing, then it was likely following premature discontinuation
of dispensing and a total S score of 1 or 2 was given. Therefore,
proper nozzle hydrostatic pressure is important for higher printability.
The results of the analysis in JMP support the observed optimal parameters
from the designed experiment, with the highest printability being
achieved with 5 mg/mL of cAb and PCV nearest the pipette tip height.
Due to the flatness of the PCV height curve in the prediction profilers
for printability and S score, the middle PCV height was selected for
the purpose of simplicity in further study.The observed agreement
between printability and S score is reasonable
because our criteria for a higher score was a droplet within passing
range (angle of failure measurement < 11°), as captured by
stroboscopic imaging. Therefore, a higher printability may be more
likely to result if a droplet is present and its trajectory is tolerable
in the stroboscope check. Both S score and printability increased
when the PCV remained at the pipette tip height, where nozzle hydrostatic
pressure is closest to equilibrium. Nozzle hydrostatic pressure is
important for optimized microarray printing and is further influenced
by maintenance procedures. These procedures for preventive maintenance
(PM) include the replacing of particle filters every 6 months and
running of filtered 70% ethanol through the PCV filter and subsequent
tubing every couple of months. We have found improvement with microarray
printing following these PMs, suggesting their beneficial impact on
the system’s nozzle hydrostatic pressure. Therefore, a PM was
performed immediately before beginning the first replicate of the
designed experiment.
Analysis of Antibody Microarrays
To investigate antibody microarray quality after printing, the
printing
misalignment and spot elongation were reported quantitatively by run
order for each day. In Figure a, we see that mean misalignment increases with each subsequent
day. This may suggest that misalignment increases as more prints are
run and more time has elapsed since the preventive maintenance was
last done. Additionally, Figure b shows that the mean of average spot elongation was
lowest on the first day and remained similarly elevated for the subsequent
days. It is also worth noting that printing conditions that resulted
in a printability of zero did not have membrane disks to quantitatively
assess.
Figure 6
Printing misalignment (a) and average spot elongation (b) were
reported as the misalignment between actual and ideal test spot location
and elongation measurements by run order for each day. The blue lines
represent the mean and standard deviation of each day.
Printing misalignment (a) and average spot elongation (b) were
reported as the misalignment between actual and ideal test spot location
and elongation measurements by run order for each day. The blue lines
represent the mean and standard deviation of each day.
Analysis of Optimized Printing
To
characterize the overall impact of the optimized parameters for printing
11C7 a decision was made to execute a print targeting all 130 dispensing
locations on the target membrane. Before this was done, the system’s
filter in the PCV and subsequent tubing was cleaned as mentioned previously.
It was found that all membrane disc locations were successfully printed,
and every 10th membrane disc of this batch was quantitatively assessed
for antibody microarray quality (Figure ). The average test spot elongation remained
fairly circular over the course of the print, before elongating over
the last 10 membrane disc locations (Figure a). This occurred due to the effect where
the test spots begin to streak toward the upper right of the membrane
disc (Figure b,c).
This effect increases the overall spot elongation measurement.
Figure 7
Spot elongation
(a) and printing misalignment (d) were reported
for every 10th membrane disc location. Scanned images of 9-spot colorimetric
signals after performing the assay with the 1st and 130th (b), and
2nd and 129th (c) membrane disks, respectively. Signal intensities
of all 6 test spots were compared between the 1st and 130th, and 2nd
and 129th membrane disks, when run with 5 and 1 ng/mL of F1 antigen
in buffer, respectively (e). Student’s paired t test p = 0.0219.
Spot elongation
(a) and printing misalignment (d) were reported
for every 10th membrane disc location. Scanned images of 9-spot colorimetric
signals after performing the assay with the 1st and 130th (b), and
2nd and 129th (c) membrane disks, respectively. Signal intensities
of all 6 test spots were compared between the 1st and 130th, and 2nd
and 129th membrane disks, when run with 5 and 1 ng/mL of F1 antigen
in buffer, respectively (e). Student’s paired t test p = 0.0219.In Figure d, misalignment
between ideal and actual test spot location remains lower than a 50
μm pitch for the first 50 membrane disc locations, doubles for
the next 40, and then becomes inconsistent over the last 40 locations.
Taken together, we can see that antibody microarray quality remains
most consistent and precise over the first 50 membrane disc locations,
but then misalignment begins to suffer, and the spots lose circularity
over the last 10 locations. The change in spot shape may decrease
cAb density and therefore impact signal intensity. This prompted investigation
into whether immunoassay performance would be impacted.As shown
in Figure e, there
was no statistical significance in mean differences between
the signal intensities of the first and last membrane disks when ran
with 5 ng/mL of F1 antigen in buffer (Figure b). However, the next membrane disks in order
(Figure c) did show
statistical significance between mean differences in signal intensity
when ran with 1 ng/mL of F1, though the difference in mean values
was relatively small (−517.9 AU). These results may suggest
that assay sensitivity decreases for membrane disks at the end of
this size of print. Altogether, these results demonstrate an improvement
in printability from our previous successes printing antibody microarrays
with 2.5 mg/mL of 11C7 onto NC membrane disks, where the average batch
size was 8–10. Additionally, these results set a benchmark
for determining a production size with tolerable intrabatch variability.
Discussion
A traditional DOE study
starts
with a screening study to identify
critical parameters, then is followed by additional designed experiments
focused on optimization of the variables identified as important.
In this study, some parameters have been tested beforehand. For example,
the electrical pulse voltage and width for DOD piezoelectric inkjet
printing were found to be optimal at 90 V and 50 μs for all
cAb printed. There were also other prestudies before the DOE. For
example, different cAbs were tested and the worst performing one was
selected for the DOE. Additionally, it is important to saturate the
NC membrane with adsorbed cAb for VFI assay, so the number of droplets
per spot to saturate the NC membrane was identified for each cAb concentration.
With these studies to set constraints and eliminate some variables,
our current study focused on the two most likely variables to impact
the printing process as suggested by the manufacturer, i.e., PCV height
and cAb concentration, for the DOE study.It is also important
to understand the underlying physical mechanisms
of the experimental results to further improve the printing process.
The designed experiment identified the PCV at the pipette tip height
and the highest cAb concentration (5 mg/mL) as the optimal conditions
for printing. The role of PCV height is to provide the right hydrostatic
pressure (Ph) at the micropipette orifice
and, together with the capillary pressure (Pc) at the orifice, to avoid either liquid accumulation at the
tip or a withdrawing meniscus inside the tip, which could both prevent
droplet formation. To understand the interaction between Ph and Pc, the cAb solution
contact angles on both silicon and glass (the materials of the micropipette, Figure S1) were measured to be ∼20°,
i.e., wetting the micropipette surfaces. Based on previous analysis
of liquid bursting out an orifice,[23] the
required pressure to let the fluid flow out of the 50 μm sized
orifice would be ∼1.9 kPa (Supporting Information Figure S1b and eq S1c). On the other hand, Ph from the 8.57 cm height increase of the PCV
is 0.86 kPa (Supporting Information eq S1a), which is on the same order with the 1.9 kPa Pc but slightly lower. This is consistent with our observation
that the 8.57 cm PCV height did not cause a quick liquid accumulation
at the tip to prevent droplet formation. However, our results also
indicate that this increased height may still cause some liquid accumulation
gradually over the repeated droplet jetting process.When the
PCV is lowered to 11.43 cm, there is a Ph of ∼−1.16 kPa (Supporting Information eq S1a) to withdraw the liquid away from the
orifice. The Pc from the meniscus can be calculated to
be ∼5.15 kPa (Supporting Information eq S1d), which is large enough to keep the liquid at the orifice.
However, after jetting out a droplet, the fluid needs to be replenished
and the negative Ph could slow down the
process which may prevent further droplet formation, especially over
fast repeated droplet jetting. Overall, the above analysis explained
qualitatively that the optimal PCV height was found to be with its
water level around that of the pipette tip height for our current
micropipette surface condition and the corresponding cAb solution
contact angle.To understand the effect of cAb concentration,
it is complicated
when considering the effects of fluid density, viscosity, surface
tension etc. analytically for cAb solutions with different concentrations.
However, our experiments have indicated a trend that printing tends
to get worse with repeated droplet jetting. Since higher concentration
cAb requires less droplets per spot to saturate the NC membrane, it
is reasonable to expect that the 5 mg/mL cAb solution that required
the least amount of droplet jetting performed the best.
Conclusions
In the present study, we
utilized a statistically
designed experiment
to optimize a process for printing antibody microarrays with noncontact
piezoelectric dispensing, which is advantageous for the described
application compared to others due to its high-capacity printing,
easily adjustable droplet control, and a lowered risk of damaging
sensitive solutions and substrates. The randomization and factorial
design structure of the experiment allowed for more robust and quantitative
reporting of the main effects and their interactions in this printing
process. A 5 mg/mL concentration of 11C7 was successfully printed
and yielded an increase in printability compared to the previously
utilized cAb concentration of 2.5 mg/mL. Additionally, an increase
in hydrostatic pressure was not needed to print at this higher cAb
concentration as printability decreased significantly when the PCV
was raised from the pipette tip height. The optimal printing condition
at 5 mg/mL cAb concentration and zero PCV height showed a 13-fold
improvement in the printability (from 10 to 130 membrane disks per
printing). The first 50 membrane disks of this print size showed greater
potential for reliable use in immunoassay. The daily misalignment
data also suggested that our maintenance procedures played a role
in the process.In the future, additional maintenance procedures
will be tested
to improve the array location accuracy. Micropipette surfaces with
different cAb contact angles could be explored for improved printing
as well. We will also use this optimized process to print additional
cAbs to fabricate multiplexed VFI membrane disks and plan to further
scale production with a longitudinal stability study of antibody microarray
performance.
Authors: Valentin Romanov; S Nikki Davidoff; Adam R Miles; David W Grainger; Bruce K Gale; Benjamin D Brooks Journal: Analyst Date: 2014-03-21 Impact factor: 4.616
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Authors: Damena D Agonafer; Hyoungsoon Lee; Pablo A Vasquez; Yoonjin Won; Ki Wook Jung; Srilakshmi Lingamneni; Binjian Ma; Li Shan; Shuai Shuai; Zichen Du; Tanmoy Maitra; James W Palko; Kenneth E Goodson Journal: J Colloid Interface Sci Date: 2017-12-14 Impact factor: 8.128