Isabelle C Samper1,2, Catherine J McMahon1, Melissa S Schenkel1, Kaylee M Clark1, Wisarut Khamcharoen3, Loran B R Anderson4, James S Terry4, Emily N Gallichotte4, Gregory D Ebel4, Brian J Geiss4,5, David S Dandy2,5, Charles S Henry1,2,5. 1. Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States. 2. Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado 80523, United States. 3. Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok 10110, Thailand. 4. Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado 80523, United States. 5. School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado 80523 United States.
Abstract
Point-of-care (POC) methods currently available for detecting SARS-CoV-2 infections still lack accuracy. Here, we report the development of a highly sensitive electrochemical immunoassay capable of quantitatively detecting the presence of the SARS-CoV-2 virus in patient nasopharyngeal samples using stencil-printed carbon electrodes (SPCEs) functionalized with capture antibodies targeting the SARS-CoV-2 nucleocapsid protein (N protein). Samples are added to the electrode surface, followed by horseradish peroxidase (HRP)-conjugated detection antibodies also targeting the SARS-CoV-2 N protein. The concentration of the virus in samples is quantified using chronoamperometry in the presence of 3,3'5,5'-tetramethylbenzidine. Limits of detection equivalent to less than 50 plaque forming units/mL (PFU/mL) were determined with virus sample volumes of 20 μL. No cross-reactivity was detected with the influenza virus and other coronavirus N proteins. Patient nasopharyngeal samples were tested as part of a proof-of-concept clinical study where samples were also tested using the gold-standard real-time quantitative polymerase chain reaction (RT-qPCR) method. Preliminary results from a data set of 22 samples demonstrated a clinical specificity of 100% (n = 9 negative samples according to RT-qPCR) and a clinical sensitivity of 70% for samples with RT-PCR cycle threshold (Ct) values under 30 (n = 10) and 100% for samples with Ct values under 25 (n = 5), which complies with the World Health Organization (WHO) criteria for POC COVID-19 diagnostic tests. Our functionalized SPCEs were also validated against standard plaque assays, and very good agreement was found between both methods (R2 = 0.9993, n = 6), suggesting that our assay could be used to assess patient infectivity. The assay currently takes 70 min from sampling to results.
Point-of-care (POC) methods currently available for detecting SARS-CoV-2 infections still lack accuracy. Here, we report the development of a highly sensitive electrochemical immunoassay capable of quantitatively detecting the presence of the SARS-CoV-2 virus in patient nasopharyngeal samples using stencil-printed carbon electrodes (SPCEs) functionalized with capture antibodies targeting the SARS-CoV-2 nucleocapsid protein (N protein). Samples are added to the electrode surface, followed by horseradish peroxidase (HRP)-conjugated detection antibodies also targeting the SARS-CoV-2 N protein. The concentration of the virus in samples is quantified using chronoamperometry in the presence of 3,3'5,5'-tetramethylbenzidine. Limits of detection equivalent to less than 50 plaque forming units/mL (PFU/mL) were determined with virus sample volumes of 20 μL. No cross-reactivity was detected with the influenza virus and other coronavirus N proteins. Patient nasopharyngeal samples were tested as part of a proof-of-concept clinical study where samples were also tested using the gold-standard real-time quantitative polymerase chain reaction (RT-qPCR) method. Preliminary results from a data set of 22 samples demonstrated a clinical specificity of 100% (n = 9 negative samples according to RT-qPCR) and a clinical sensitivity of 70% for samples with RT-PCR cycle threshold (Ct) values under 30 (n = 10) and 100% for samples with Ct values under 25 (n = 5), which complies with the World Health Organization (WHO) criteria for POC COVID-19 diagnostic tests. Our functionalized SPCEs were also validated against standard plaque assays, and very good agreement was found between both methods (R2 = 0.9993, n = 6), suggesting that our assay could be used to assess patient infectivity. The assay currently takes 70 min from sampling to results.
Electrochemical sensors
have received attention in recent years
as a means of detecting biological analytes such as viruses and other
disease-related pathogens, including HIV, the zika virus, and hepatitis
B.[1−5] Detection mechanisms for the aforementioned pathogens have been
integrated into point-of-care (POC) sensors, which can be deployable
in low-resource settings, where standard instrumentation is not available.
However, POC sensors can lack sensitivity and are usually only qualitative,
as many of them use optical detection.[6,7] The incorporation
of an electrochemical detection mechanism can improve sensitivity
and provide quantitative measurements.POC electrochemical biosensors
have several advantages, including
rapid response times, low limits of detection, and low sample volume
requirements, while being cost-effective.[8] The most common examples are handheld glucometers, used by diabetic
patients for routinely measuring their blood glucose levels.[9] In order to make electrochemical platforms suitable
for POC applications, stencil-printed or screen-printed carbon electrodes
(SPCEs) are often used, as they are robust, mass producible, and disposable.[10−12]Coronavirus disease 2019, known as COVID-19, is caused by
severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has impacted
world health since late 2019. As of September 2021, the virus has
infected 222 M people and resulted in 4.5 M deaths worldwide.[13] Prompt and accurate testing for SARS-CoV-2 and
its mutations is essential for resuming social activities and ending
the pandemic. Currently, the gold-standard viral test is real-time
quantitative polymerase chain reaction (RT-qPCR), which is a molecular
approach that amplifies the genetic material of the virus.[14,15] However, RT-qPCR can take several days to output results, and therefore,
efforts have been made to build POC testing technologies to monitor
the progression of the COVID-19 pandemic.[16,17] SARS-CoV-2 infection can also be detected with immunoassays, using
antibodies to bind viral antigens with high specificity.[18] Enzyme-linked immunosorbent assays (ELISAs)
are considered the standard for antigen testing; however, they are
lab-based due to the need for external instrumentation to interpret
the results.[19−21]Monitoring of antibody and antigen levels plays
a key role in assessing
patient prognosis and managing the pandemic progression.[22,23] According to the Center of Disease Control (CDC), viral tests, including
antigen tests, are valuable POC diagnostic tools to detect active
infection and inform medical care.[24] Since
the start of the pandemic, several antigen-based POC tests have been
developed, with varying degrees of sensitivity, specificity, and accuracy.
Two well-known and commercially available examples include the BinaxNOW
test developed by Abbot and the InteliSwab test developed by OvaSure.[25,26] Several other POC tests have been developed, but their low sensitivities
resulted in high rates of false negatives.[27]To improve upon the current state of POC diagnostics for COVID-19,
the sensitivity and accuracy of the test are of utmost importance.
The incorporation of an electrochemical detection mechanism can provide
an avenue to create a more robust, sensitive, and accurate POC diagnostic.[28,29] However, the development of POC technologies is not linear and requires
several stages of development, including but not limited to the miniaturization
of the sensing mechanism and the integration of reagent delivery,
while also considering the means of sample collection, preparation,
and addition to the diagnostic test to provide ease of use for the
end user.[17] The work described herein focuses
on the fundamental development of the sensing mechanism, including
the ability to miniaturize the platform without compromising the immunoassay
integrity. The goal of the proposed assay is to perform as well as
standard ELISA but doing so outside of typical lab settings and without
the long wait times and reagent high volumes.Here, we present
a novel electrochemical sandwich immunoassay using
SPCEs to quantify the SARS-CoV-2 nucleocapsid protein (N protein)
in nasopharyngeal samples. The N protein was chosen for this assay
because of its clinical relevance in COVID-19 diagnostics.[30,31] SPCEs are functionalized with capture antibodies, which specifically
bind to N proteins present in the sample tested. Detection antibodies
conjugated to horseradish peroxidase (HRP) and the substrate, 3,3′5,5′-tetramethylbenzidine
(TMB) are then added after the sample. Chronoamperometry is performed
to measure the levels of HRP, which correlates to the N-protein concentration
in the sample. Optimization of the immunoassay antibody pair is shown,
and the sensor response to samples of varying virus concentrations
is characterized. Additionally, cross-reactivity to variants and potential
interferents is studied. Furthermore, a preliminary clinical study
using 22 patient nasopharyngeal swab samples is conducted. Unlike
other POC diagnostics, the method described here is quantitative,
due to the use of an electrochemical measurement. This work is aimed
at being the first step in developing a POC sensor for the rapid,
sensitive, and accurate detection of active SARS-CoV-2 infection.
Experimental
Section
Reagents
Buffers
10 mM phosphate buffer solution
(PBS) with
140 mM sodium chloride and 2.7 mM potassium chloride, pH 7.4 was prepared
using a tablet according to package instructions (Research Products
International, USA). 10 mM phosphate buffer solution with Tween20
(PBST) was made by adding Tween20 to PBS to a final concentration
of 0.05%. Hanks Balanced Salt Solution (HBSS) was prepared by combining
0.14 M sodium chloride, 5 mM potassium chloride, 1 mM calcium chloride,
0.4 mM magnesium sulfate, 0.5 mM magnesium chloride, 0.3 mM sodium
phosphate, 0.4 mM potassium phosphate, and 4 mM sodium carbonate to
make a 1 L solution in Millipore water. HBSST buffer was made by adding
Tween80 (Fischer Scientific, USA) and Igepal (MP Biomedicals, USA)
to HBSS to make a final concentration of 0.1 and 0.1%, respectively.
Viral transport media (VTM) were prepared according to CDC guidelines
by adding fetal bovine serum, gentamicin sulfate, and amphotericin
B to HBSS to a final concentration of 2%, 50, and 250 μg/mL,
respectively.[32] VTMT was made by adding
Tween80 and Igepal to VTM so that the final concentration of each
surfactant was equal to 0.1%.
House-Made Anti-N Antibodies
Rabbit polyclonal antibodies
targeting the SARS-CoV-2 N protein were prepared as previously described.[33,34] Briefly, rabbits were immunized by Pacific Immunology with the truncated
SARS-CoV-2 nucleocapsid antigen (AA133-416) produced and purified
in Escherichia coli. Hyperimmune serum
was passed over a SARS-CoV-2 nucleocapsid column and binding antibodies
eluted and collected. Eluted antibody preparations were dialyzed against
PBS with 0.1% sodium azide and stored at −20 °C until
use.
House-Made Anti-N-HRP
Anti-N antibodies prepared as
described above were first purified using a NucAway spin column (Invitrogen
by Thermo Fisher Scientific, USA) according to package instructions.
Once purified, antibodies were conjugated to HRP using a Lightning-Link
HRP Conjugation Kit (Abcam, UK) according to kit instructions. The
stock antibody was diluted to 0.5 μg/mL in HBSST.
Aged Casein
Solution
Solution was prepared as previously
reported.[35] Briefly, a 100 mL solution
was prepared by dissolving 6 g of casein in 80 mL of 50 mM sodium
hydroxide overnight. Then, 0.26 g boric acid and 0.45 g sodium tetraborate
were added, and the solution was pH adjusted to 8.5. The solution
was brought to volume with Millipore distilled water and heated at
37 °C for 7 days. Aliquots of 50 μL were stored at −20
°C until needed and then thawed and combined with 950 μL
of 50 mM borate buffer, pH 8.5 and mixed well.
Commercial
Antibodies and Substrate
SARS-CoV-2 anti-N
antibodies and SARS-CoV-2 anti-N-HRP detection antibodies (Table S1) were purchased from Sino Biological.
Anti-N antibodies were diluted from the stock to 10 μg/mL in
PBS, and HRP detection antibodies were diluted from the stock to 0.5
μg/mL in HBSST. The substrate TMB was purchased from Sigma-Aldrich,
USA.
Inactivated SARS-CoV-2 Virus Samples
The SARS-CoV-2
virus (USA-WA1, NR52281) was provided by BEI resources. The virus
was passaged at the biosafety level 3 (BSL-3) containment in Vero
E6 cells [ATCC (CRL-1586)] in 2% FBS-DMEM at 37 °C to generate
virus stocks. Virus stocks were stored at −80 °C. Viral
stocks were quantified for infectivity by the plaque assay [plaque
forming units (PFU)/mL] and total genome copy number by real-time
digital droplet polymerase chain reaction (RT-ddPCR), using the procedures
established by Case et al.[36] To inactivate
the virus, viral stocks were brought to a 0.1% final concentration
of Triton-X-100 on ice for 30 min. All inactivated stocks were tested
for the active virus using cytopathic effect assays of 5 days and
were considered inactive if no cell killing was observed compared
to live virus controls. All inactivated virus samples were handled
following BSL2 safety practices. For the antibody screening study
(Figure ), virus samples
were diluted in HBSST. For all other experiments, dilutions of the
virus stock solution to the desired viral concentrations were made
in VTMT.
Figure 1
Electrochemical detection mechanism of the SARS-CoV-2 nucleocapsid
(N) protein on a modified SPCE, with RE, WE, and CE representing reference,
working, and counter electrodes, respectively. If present in the sample,
N proteins are captured by anti-N antibodies (capture antibodies)
immobilized on the SPCE surface. HRP-labeled anti-N antibodies (detection
antibodies) subsequently bind to N proteins and catalyze the oxidation
of the substrate TMB, creating an electroactive compound (oxTMB) that
is detected via chronoamperometry.
Electrochemical detection mechanism of the SARS-CoV-2 nucleocapsid
(N) protein on a modified SPCE, with RE, WE, and CE representing reference,
working, and counter electrodes, respectively. If present in the sample,
N proteins are captured by anti-N antibodies (capture antibodies)
immobilized on the SPCE surface. HRP-labeled anti-N antibodies (detection
antibodies) subsequently bind to N proteins and catalyze the oxidation
of the substrate TMB, creating an electroactive compound (oxTMB) that
is detected via chronoamperometry.
Clinical Samples
Nasopharyngeal swabs were collected
from asymptomatic staff at long-term care facilities and characterized
as described here.[37] Briefly, viral RNA
was extracted and quantified using qPCR with CDC primer probes. The
infectious virus was measured using a standard plaque assay on Vero
cells starting with 250 μL of input material. Clinical samples
were surfactant-inactivated, which breaks up viral particles and releases
N proteins in solution. Samples were diluted by a 1.07 factor in VTM,
Tween80, and Igepal so that the final concentrations of Tween80 and
Igepal in each sample were both equal to 0.1%. A 20 μL volume
of each surfactant-containing clinical sample was tested on our immunoassay.
Electrode Fabrication
Electrodes were fabricated as
previously reported.[38] Briefly, TC303 synthetic
graphite (Asbury Carbons, USA) and carbon ink (Ercon, USA) were mixed
in a 3:5 ratio to create a homogeneous paste. The paste was stencil-printed
and dried at 60 °C for 30 min. Ag|AgCl ink (Sigma-Aldrich, USA)
was then painted onto the reference electrode and dried at 60 °C
for 30 min. Double-sided adhesive wells (3 M, USA) were laser cut
(8 mm in diameter) and adhered to the electrode surface, exposing
the reference, counter, and working electrode (9 mm2).
Electrochemical Immunoassay Protocol
The immunoassay
and electrochemical detection mechanism are illustrated in Figure , and the protocol
is as follows:
SPCE Functionalization
SPCEs were
functionalized (see Figure S1) by covalently
binding capture anti-N
antibodies to the electrode surface via carbodiimide coupling using N-ethyl-N′-[3-(dimethylamino)propyl]carbodiimide/N-hydroxysuccinimide
(EDC/NHS) chemistry. First, 20 μL of a solution of 5 mM EDC
(Sigma-Aldrich, USA) and 5 mM NHS (Sigma-Aldrich, USA) in water was
pipetted on the working electrode and incubated in a humid chamber
for 45 min. Then, this solution was pipetted off, and 20 μL
of the 10 μg/mL capture anti-N antibody in PBS was immediately
added to the electrode surface. Following a 1 h incubation period
in a humid chamber, the electrode was washed with PBST followed by
PBS using solid stream spray bottles. The SPCE was then incubated
with 50 μL of aged casein solution for 1 h to block non-specific
activated binding sites and subsequently rinsed with PBST followed
by PBS using transfer pipettes. The total duration for SPCE functionalization
was 2 h and 45 min.
SPCE Testing
Functionalized SPCEs
were tested by pipetting
20 μL of a sample solution onto the electrode surface. Following
a 40 min incubation period, the electrodes were washed with PBST followed
by PBS using solid stream spray bottles. Subsequently, 20 μL
of a 0.5 μg/mL anti-N-HRP detection antibody solution prepared
in HBSST was pipetted onto the electrode surface and incubated for
25 min. Following washing with PBST and PBS using solid stream spray
bottles, 50 μL of TMB was added to the electrode surface and
incubated for 2 min. Immediately following the TMB incubation, a chronoamperometry
recording was started. Using a portable potentiostat (PalmSens4),
a 0.0 V potential was applied to the working electrode (vs the Ag|AgCl
reference electrode) for 2 min, while the current was recorded between
the working and the counter electrodes. The total duration for SPCE
testing was 70 min.
Data Analysis
Chronoamperometry traces were averaged
on a 10 s interval (100 points) centered in 100 s following the start
of the recording (I100s). This 100 s timepoint
was chosen to avoid the initial charging current and to evaluate the
plateau current. Blank samples (n = 3), made with
the same media as the samples tested but without the virus, were run
in parallel to virus samples to get a measure of the background current.
For every sample tested, the mean background current was subtracted
from the sample current, and the immunoassay current output ΔI generated by each sample was defined as follows, as illustrated
in Figure .
Results
and Discussion
Antibody Screening
Since the beginning
of the pandemic,
a large number of antibodies have become available for SARS-CoV-2,
necessitating screening to optimize performance. To screen capture
anti-N and detection anti-N-HRP antibodies, we performed the electrochemical
immunoassay on our SPCEs using eight different antibody pairs (Table S1). The antibodies tested were selected
based on a previous study[39] that identified
commercially available antibodies that performed best on immunoassays
targeting the SARS-CoV-2 N protein and following commercial supplier
recommendations.[40] All antibody pairs from
commercial sources (Pairs 2 to 8) were tested against in house-generated
antibodies (Pair 1).Figure shows the immunoassay current output, ΔI, from a virus concentration of 5000 PFU/mL, generated
using each of the eight antibody pairs. The results show that ΔI is highly variable across the eight antibody pairs tested,
which is consistent with results from previous studies.[39,41] The difference in the signal observed across antibody pairs can
be attributed to multiple factors, including the binding affinity
between the antibodies and our target and the way the antibodies bind
to the electrode surface. On our electrochemical immunoassay, Pair
5 gave a current output 34% higher than that generated by the affinity-purified
rabbit anti-N polyclonal antibodies (Pair 1) and critically demonstrated
the most consistent current output, as shown by the lowest standard
deviation. Therefore, we identified Pair 5 as the antibody pair that
performed best on our electrochemical immunoassay. From this point
onward, all experiments were conducted with antibody Pair 5.
Figure 2
Comparison
of capture/detection antibody pairs. Blank-subtracted
current generated by SARS-CoV-2 samples at 5000 PFU/mL (2.4 ×
108 RNA copies/mL), using different pairs of capture/detection
antibodies. Antibody pairs are defined in Table S1. The data set was collected in two separate experiments,
and measurements from Pair 8 were repeated across both experiments.
For each pair, current is expressed as a percentage of the current
generated using Pair 8 from the corresponding experiment. Except for
Pair 8 where the current mean and standard deviation (SD) are calculated
over both experiments (n = 6), data represent mean
and SD of triplicate measurements (n = 3). SD of
Pair 8 for each experiment (n = 3) remains higher
than SD of Pair 5 (±11% and ±12% vs ±4%).
Comparison
of capture/detection antibody pairs. Blank-subtracted
current generated by SARS-CoV-2 samples at 5000 PFU/mL (2.4 ×
108 RNA copies/mL), using different pairs of capture/detection
antibodies. Antibody pairs are defined in Table S1. The data set was collected in two separate experiments,
and measurements from Pair 8 were repeated across both experiments.
For each pair, current is expressed as a percentage of the current
generated using Pair 8 from the corresponding experiment. Except for
Pair 8 where the current mean and standard deviation (SD) are calculated
over both experiments (n = 6), data represent mean
and SD of triplicate measurements (n = 3). SD of
Pair 8 for each experiment (n = 3) remains higher
than SD of Pair 5 (±11% and ±12% vs ±4%).
Electrochemical Response to Different Concentrations of SARS-CoV-2
Virus
The ability of our immunoassay to quantify the concentration
of the SARS-CoV-2 virus in 20 μL of VTM-based samples was evaluated
by exposing functionalized SPCEs to different inactivated SARS-CoV-2
virus concentrations. Chronoamperograms recorded from SPCEs exposed
to eight different SARS-CoV-2 virus concentrations ranging from 0
to 110,000 PFU/mL are shown in Figure A. Each concentration was tested on three separate
SPCEs (n = 3), and the average and standard deviation
of the triplicate measurements are shown by line and shaded areas,
respectively. The calibration curve generated by this data set is
shown in Figure B.
The graphs show clear separation between current responses to each
concentration tested and an increase in ΔI with
the increasing virus concentration. The current-to-concentration response
curve follows a 4-parameter logistic (4PL) model, which is typical
for immunoassays.[42,43] Note that the current response
to the highest virus concentration tested, 110,000 PFU/mL, is lower
than that of the lower 22,000 PFU/mL concentration. This could be
attributed to the hook effect, which has been previously reported
in immunoassays[44] when an overload of the
virus prevents antibody binding and decreases complexation. Patient
samples likely will not contain such high viral loads, but if a sample
contained a viral load within the range impacted by the hook effect,
the assay would still exhibit a positive result, and the accuracy
of the test would not be compromised. These results demonstrate the
ability of the immunoassay to quantify the SARS-CoV-2 virus concentration
in VTM samples of volumes as low as 20 μL. The limit of detection
(LOD) of our electrochemical assay, calculated as the viral concentration
corresponding to three times the standard deviation of the signal
recorded in the absence of the virus, was found to be equivalent to
45 PFU/mL. This calculated LOD is lower than the measured LOD of most
commercially available rapid antigen tests, which are typically between
80 and 500 PFU/mL.[27,45] However, it is important to note
that the lowest concentration tested as part of this experiment was
220 PFU/mL (Figure ), which is above the calculated 45 PFU/mL LOD, whereas the LODs
of the commercial tests reported in these studies[27,45] were measured concentrations. Nevertheless, the concentration of
220 PFU/mL that is clearly detected by our assay is well in the range
of these reported LODs. Standard antigen capture ELISA was also performed
on the same inactivated virus samples (Figure S2), with a LOD of 7 PFU/mL. Although it is lower than the
LOD of the electrochemical assay, benefits of the electrochemical
assay over ELISA include a reduced assay time from 24 h to less than
4 h (including surface functionalization), lower reagent volumes,
and the use of portable recording instrumentation.
Figure 3
Electrochemical detection
of the SARS-CoV-2 virus in 20 μL
samples. (A) Chronoamperograms obtained from SPCEs exposed to different
concentrations of the SARS-CoV-2 virus. Lines and shaded areas represent
mean and SD of triplicate measurements, respectively. (B) Corresponding
calibration curve showing ΔI averaged over
a 10 s interval centered in t = 100 s. Data fitted
with a 4-parameter logistic (4PL) regression. The LOD, calculated
as the virus concentration corresponding to 3 SD of the blank signal,
is equivalent to 45 PFU/mL [≈2.17 × 106 viral
RNA copies/mL, as calculated from the genome concentration of the
virus stock solution which was measured via RT-digital droplet(dd)PCR].
Electrochemical detection
of the SARS-CoV-2 virus in 20 μL
samples. (A) Chronoamperograms obtained from SPCEs exposed to different
concentrations of the SARS-CoV-2 virus. Lines and shaded areas represent
mean and SD of triplicate measurements, respectively. (B) Corresponding
calibration curve showing ΔI averaged over
a 10 s interval centered in t = 100 s. Data fitted
with a 4-parameter logistic (4PL) regression. The LOD, calculated
as the virus concentration corresponding to 3 SD of the blank signal,
is equivalent to 45 PFU/mL [≈2.17 × 106 viral
RNA copies/mL, as calculated from the genome concentration of the
virus stock solution which was measured via RT-digital droplet(dd)PCR].
Cross-Reactivity to SARS-CoV-2 Variants and
Potential Interferents
The ability to differentiate the target
from other viruses while
detecting SARS-CoV-2 variants is essential for test accuracy. Cross-reactivity
studies using SARS-CoV-2 variant viruses and potential interferents
were carried out to investigate the specificity of our biosensor toward
SARS-CoV-2. Using the same experimental conditions as for SARS-CoV-2
detection (Figure ), we tested the following four SARS-CoV-2 variants: Alpha (UK-00),
Alpha (UK-11), Beta (SA-08), and Beta (SA-09) against the original
SARS-CoV-2 strain on our functionalized SPCEs, as shown in Figure A. All virus strains
were tested at the same concentration of 1,100 PFU/mL, and interestingly,
all variant strains generated a higher signal than the original strain.
This can be explained by the higher viral RNA content of the variant
strains, as later revealed by RT-ddPCR assays (see Figure ). Importantly, all four variants
tested could be detected by our functionalized SPCEs indicating the
applicability of the system as new variants emerge.
Figure 4
Cross-reactivity to SARS-CoV-2
variants and potential interferents
in 20 μL VTM samples. (A) ΔI generated
by virus samples of the SARS-CoV-2 original strain and SARS-CoV-2
variant strains. All samples were tested at 1100 PFU/mL as determined
by a plaque assay, and corresponding viral RNA concentrations were
5.2 × 107, 2.0 × 109, 1.5 × 109, 1.8 × 107, and 1.7 × 107 copies/mL for SARS-CoV-2 original, alpha (UK-00), alpha (UK-11),
beta (SA-08), and beta (SA-09) strains, respectively. Data represent
mean and SD of triplicate measurements. (B) ΔI generated by virus samples of the SARS-CoV-2 original strain and
samples of potential interfering viruses and recombinant N proteins
from potential interfering viruses. SARS-CoV-2 original virus strain
samples were tested at 1100 PFU/mL (5.2 × 107 RNA
copies/mL), N-protein samples were tested at 100 ng/mL, and heterologous
virus samples (influenza and Sindbis) were tested at 10,000 PFU/mL.
Data represent mean and SD of triplicate measurements for the SARS-CoV-2
virus and duplicate measurements for potential interferents.
Cross-reactivity to SARS-CoV-2
variants and potential interferents
in 20 μL VTM samples. (A) ΔI generated
by virus samples of the SARS-CoV-2 original strain and SARS-CoV-2
variant strains. All samples were tested at 1100 PFU/mL as determined
by a plaque assay, and corresponding viral RNA concentrations were
5.2 × 107, 2.0 × 109, 1.5 × 109, 1.8 × 107, and 1.7 × 107 copies/mL for SARS-CoV-2 original, alpha (UK-00), alpha (UK-11),
beta (SA-08), and beta (SA-09) strains, respectively. Data represent
mean and SD of triplicate measurements. (B) ΔI generated by virus samples of the SARS-CoV-2 original strain and
samples of potential interfering viruses and recombinant N proteins
from potential interfering viruses. SARS-CoV-2 original virus strain
samples were tested at 1100 PFU/mL (5.2 × 107 RNA
copies/mL), N-protein samples were tested at 100 ng/mL, and heterologous
virus samples (influenza and Sindbis) were tested at 10,000 PFU/mL.
Data represent mean and SD of triplicate measurements for the SARS-CoV-2
virus and duplicate measurements for potential interferents.We then evaluated the response of our functionalized
SPCEs to 10
potential interferents, including the influenza virus, Sindbis virus,
and N proteins from 8 other coronaviruses as compared to the response
generated by the SARS-CoV-2 virus. To simulate a worst-case scenario,
potential interfering viruses and N proteins were tested at concentrations
as high as 10,000 PFU/mL and 100 ng/mL, respectively, while the SARS-CoV-2
virus was tested at a clinically relevant concentration of 1100 PFU/mL.[46] Results from this interferent study are presented
in Figure B and show
that none of the 10 potential interferents tested were detected by
our functionalized SPCEs. Instead, each of them generated a small
negative ΔI, which means that their current
response was closer to zero than that of the blank samples (VTMT only).
This is likely due to proteins being present in such high concentrations
in the potential interferent samples, which could block access of
the detection antibodies to the electrode surface, decreasing the
electron turnover by TMB. These results demonstrate the specificity
of our assay toward the SARS-CoV-2 virus.
Proof-of-Concept Clinical
Sample Study
To evaluate
the diagnostic potential of our functionalized SPCEs on clinical samples,
we carried out a proof-of-concept assay where we tested a total of
22 20-μL heat-inactivated de-identified nasopharyngeal samples
that had been previously banked as part of a long-term care facility
study (Table S2). All samples were tested
with RT-qPCR and identified as either viral RNA negative or positive,
according to their N1 cycle threshold (Ct) value (≤38 or >38,
respectively). Table compares the results of this electrochemical assay to that of the
RT-qPCR assay and shows specificity and sensitivity values, respectively,
calculated as the number of samples identified as negatives by our
electrochemical assay divided by the number of samples identified
as negative by the RT-qPCR assay and the number of samples identified
as positive by our electrochemical assay divided by the number of
samples identified as positive by the RT-qPCR assay. Our electrochemical
assay was found to be 100% specific, with a total of 9 negative samples
tested but only 54% sensitive when considering all 13 positive samples.
However, the sensitivity of our assay increased with decreasing Ct
values and reached 70 and 100% for samples with Ct values <30 and
<25, respectively. This suggests that the LOD of our assay is around
a Ct value of 25, which is defined as acceptable for a POC test by
the WHO.[47] Because previous studies demonstrated
that infectivity was significantly reduced when RT-qPCR Ct values
were higher than 24,[48,49] these results suggest that our
electrochemical assay has potential to be used as a method to identify
SARS-CoV-2 infectious patients.
Table 1
Clinical Nasopharyngeal
Samples
RT-qPCR assay outcome
electrochemical assay outcome
positive
negative
N1 Ct < 25
N1 Ct < 30
N1 Ct ≤ 38
N1 Ct > 38
positive
5
7
7
0
negative
0
3
6
9
sensitivity
specificity
100%
70%
54%
100%
For samples in which the presence of the SARS-CoV-2
virus was detected
by our electrochemical assay, the equivalent PFU concentration was
quantified by simultaneously testing samples of the known PFU concentration
on our assay, as shown in Figure S3. It
is important to note that there could be discrepancies between the
estimated equivalent PFU concentration and the N-protein concentration
in these samples, justifying the use of the term “equivalent”. Figure shows the equivalent
PFU concentration of all seven samples that were identified as positive
by our electrochemical assay, plotted against their N1 Ct value, as
determined by the RT-qPCR assay.
Figure 5
SARS-CoV-2 equivalent PFU concentrations
of clinical nasopharyngeal
samples from COVID-19 patients determined using our quantitative electrochemical
assay, plotted against corresponding RT-qPCR N1 Ct values. The plot
showing data from the 7 out of 10 samples tested with a N1 Ct value
in the range 16–30 which were identified as positive by our
electrochemical assay. Linear regression suggests a correlation between
our assay output and the standard RT-qPCR Ct value (R2 = 0.73). The difference can be attributed to the two
assays measuring different aspects of the virus biochemistry (antigen
content vs viral RNA).
SARS-CoV-2 equivalent PFU concentrations
of clinical nasopharyngeal
samples from COVID-19 patients determined using our quantitative electrochemical
assay, plotted against corresponding RT-qPCR N1 Ct values. The plot
showing data from the 7 out of 10 samples tested with a N1 Ct value
in the range 16–30 which were identified as positive by our
electrochemical assay. Linear regression suggests a correlation between
our assay output and the standard RT-qPCR Ct value (R2 = 0.73). The difference can be attributed to the two
assays measuring different aspects of the virus biochemistry (antigen
content vs viral RNA).The graph shows a possible
linear correlation between both variables,
with a coefficient of determination of 0.73. Because lower Ct values
have been associated with higher chance of infectivity,[49,50] these results suggest that the output of our electrochemical assay
could serve as a measure of patient infectivity. To test this hypothesis,
plaque assays were performed on positive samples, and the actual PFU
concentrations were compared to the PFU concentration equivalents
output by our electrochemical assay. Note that the current response
of our functionalized electrodes to a given virus concentration was
more consistent in this assay than it was in the assay that generated
the data shown in Figure (as shown by the smaller error bars in Figure S3 compared to Figure ), which resulted in a lower LOD (5.8 PFU/mL).Figure compares
the results of our assay to those of plaque assays and shows a linear
correlation between the equivalent and the actual PFU concentrations
obtained by the two methods, with a coefficient of determination of
0.9993. Note that one datapoint (circled, Figure ) was excluded from the regression as it
was identified as an outlier. The causes for this datapoint to be
an outlier are unknown, and the sample could not be tested again due
to limited available volume. It is possible that despite its high
infectivity, this sample contained a lower amount of N proteins, which
are the targeted molecules of the electrochemical assay. However,
this sample was identified as infectious or positive by both methods.
As shown in Table S2, the infectious samples
with the two lowest actual PFU concentrations (measured by the plaque
assay) had RT-qPCR N1 Ct values between 22 and 23, and no PFU was
detected in samples with N1 Ct values higher than 23. However, according
to our electrochemical assay, two positive samples with N1 Ct values
of 26 and 29 were found to have equivalent PFU concentrations of 20
and 25 PFU/mL, respectively. This shows that our electrochemical immunoassay
was able to detect the apparent SARS-CoV-2 virus in samples that the
infectivity measure missed. Although a larger clinical study must
be performed for this assay to be used as a diagnostic tool, these
results indicate that our quantitative electrochemical assay may have
potential to assess patient infectivity status.
Figure 6
Correlation between the
SARS-CoV-2 actual PFU concentration of
RT-qPCR positive clinical nasopharyngeal samples obtained using a
standard plaque assay and the equivalent PFU concentration of the
same samples obtained using our electrochemical assay. The linear
regression shown (R2 = 0.9993) excludes
the data point labeled as outlier. Out of the seven RT-qPCR positive
samples that were identified as positive by our electrochemical assay,
two of them were identified as non-infectious (0 PFU/mL) by the standard
plaque assay. (A) Shows the entire data set, and (B) zooms in on lower
PFU concentrations ranging from 0 to 1300 PFU/mL.
Correlation between the
SARS-CoV-2 actual PFU concentration of
RT-qPCR positive clinical nasopharyngeal samples obtained using a
standard plaque assay and the equivalent PFU concentration of the
same samples obtained using our electrochemical assay. The linear
regression shown (R2 = 0.9993) excludes
the data point labeled as outlier. Out of the seven RT-qPCR positive
samples that were identified as positive by our electrochemical assay,
two of them were identified as non-infectious (0 PFU/mL) by the standard
plaque assay. (A) Shows the entire data set, and (B) zooms in on lower
PFU concentrations ranging from 0 to 1300 PFU/mL.
Conclusions
Here, we have described a novel electrochemical
biosensor for the
detection of the SARS-CoV-2 N protein for practical applications in
POC testing of COVID-19. We demonstrated successful functionalization
of SPCEs using optimized antibody pairs, while reducing reagent use
and time in comparison to traditional approaches such as ELISA and
RT-qPCR. Furthermore, the assay can be fabricated at low cost (<$1,
see Table S3) and would be easily scaled
up for future manufacturing. The assay has been validated against
inactivated SARS-CoV-2 virus samples, showing that the virus concentration
can be quantified with a LOD that is lower than that of most rapid
antigen tests currently on the market and that satisfies the WHO requirements
for POC tests. A proof-of-concept clinical study was conducted on
a small data set of 22 clinical samples, in which results from the
assay developed herein were compared to those of both RT-qPCR and
plaque assays. Despite these three assays measuring three different
variables (antigen, genome copies, and infectivity), results from
this proof-of-concept study show possible agreement between the developed
assay and both RT-qPCR and plaque assays, indicating that the assay
may have potential to predict infectivity of patients with COVID-19.
A larger-scale clinical study would need to be conducted to confirm
these preliminary findings. Current limitations of the assay include
the manual pipetting steps needed to functionalize the electrodes
and the time from the sample to result. Although assay time was greatly
reduced compared to traditional lab-based methods such as ELISA, RT-qPCR,
and plaque assays, time from the sample to the result remains approximately
70 min. Future work is aimed at automating the assay by integrating
it in a fluidic platform amenable to the point of care,[51] further reducing the assay time, and assessing
the stability of the functionalized SPCEs over extended time periods
under various storage conditions. This will enable the assay to be
integrated into a robust, quantitative, and sensitive POC test for
the detection of SARS-CoV-2 infection in patients.
Authors: Jared Bullard; Kerry Dust; Duane Funk; James E Strong; David Alexander; Lauren Garnett; Carl Boodman; Alexander Bello; Adam Hedley; Zachary Schiffman; Kaylie Doan; Nathalie Bastien; Yan Li; Paul G Van Caeseele; Guillaume Poliquin Journal: Clin Infect Dis Date: 2020-12-17 Impact factor: 9.079
Authors: Anna Fagre; Juliette Lewis; Miles Eckley; Shijun Zhan; Savannah M Rocha; Nicole R Sexton; Bradly Burke; Brian Geiss; Olve Peersen; Todd Bass; Rebekah Kading; Joel Rovnak; Gregory D Ebel; Ronald B Tjalkens; Tawfik Aboellail; Tony Schountz Journal: PLoS Pathog Date: 2021-05-19 Impact factor: 6.823
Authors: James S Terry; Loran Br Anderson; Michael S Scherman; Carley E McAlister; Rushika Perera; Tony Schountz; Brian J Geiss Journal: Virology Date: 2021-02-01 Impact factor: 3.513
Authors: Isabelle C Samper; Ana Sánchez-Cano; Wisarut Khamcharoen; Ilhoon Jang; Weena Siangproh; Eva Baldrich; Brian J Geiss; David S Dandy; Charles S Henry Journal: ACS Sens Date: 2021-10-25 Impact factor: 9.618