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. 2022 Mar 10;7(3):866–873. doi: 10.1021/acssensors.1c02664

Rapid, Point-of-Care scFv-SERS Assay for Femtogram Level Detection of SARS-CoV-2

Delphine Antoine , Moein Mohammadi , Madison Vitt , Julia Marie Dickie , Sharmin Sultana Jyoti , Maura A Tilbury , Patrick A Johnson , Karen E Wawrousek ‡,*, J Gerard Wall †,*
PMCID: PMC8961876  PMID: 35271769

Abstract

graphic file with name se1c02664_0007.jpg

Rapid, sensitive, on-site identification of SARS-CoV-2 infections is an important tool in the control and management of COVID-19. We have developed a surface-enhanced Raman scattering (SERS) immunoassay for highly sensitive detection of SARS-CoV-2. Single-chain Fv (scFv) recombinant antibody fragments that bind the SARS-CoV-2 spike protein were isolated by biopanning a human scFv library. ScFvs were conjugated to magnetic nanoparticles and SERS nanotags, followed by immunocomplex formation and detection of the SARS-CoV-2 spike protein with a limit of detection of 257 fg/mL in 30 min in viral transport medium. The assay also detected B.1.1.7 (“alpha”), B.1.351 (“beta”), and B.1.617.2 (“delta”) spike proteins, while no cross-reactivity was observed with the common human coronavirus HKU1 spike protein. Inactivated whole SARS-CoV-2 virus was detected at 4.1 × 104 genomes/mL, which was 10–100-fold lower than virus loads typical of infectious individuals. The assay exhibited higher sensitivity for SARS-CoV-2 than commercial lateral flow assays, was compatible with viral transport media and saliva, enabled rapid pivoting to detect new virus variants, and facilitated highly sensitive, point-of-care diagnosis of COVID-19 in clinical and public health settings.

Keywords: SARS-CoV-2, COVID-19, diagnostic, Raman spectroscopy, SERS, point-of-care, scFv antibody fragment


The 2019 coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is classified as a global pandemic by the World Health Organization (WHO). Disease presentation varies from asymptomatic to severe outcomes, including potentially lethal respiratory tract infections,1 with clinical symptoms typically appearing within a few days of infection.2

The gold-standard method of SARS-CoV-2 identification is real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR).3,4 RT-qPCR targets SARS-CoV-2-specific open reading frame 1ab (ORF1ab), nucleocapsid protein (N), envelope protein (E), or RNA-dependent RNA polymerase sequences,3 with typical limits of detection (LOD) around 103 virus genomes/mL.4 While highly sensitive and specific, RT-qPCR is time-consuming, expensive, and requires qualified personnel and specialized equipment for RNA extraction and amplification.5 Furthermore, LODs vary considerably with the quality of extracted RNA and virus load at sampling.57

Enzyme-linked immunosorbent assays (ELISAs) have also been developed to detect SARS-CoV-2 and antivirus serological responses.8,9 Immunoassays exploit the specificity of antibodies to detect their target but lack the degree of amplification, which confers greater sensitivity on PCR-based approaches. While traditional ELISAs are laboratory-based, time-consuming (typically 3–4 h), expensive (particularly for antibody production), and require skilled personnel, point-of-care versions, such as lateral-flow (immuno)assays (LFA), overcome some of these limitations.10 LFAs generate results readable with the naked eye in a matter of minutes but with typical LODs of 105 to 107 genomes/mL,11 while they also suffer from quantification limitations and solid-phase effects.12

Surface-enhanced Raman scattering (SERS) spectroscopy is a powerful analytical tool based on a property of inelastic light scattering by Raman scatterers upon laser excitation, with scattering intensified 106 to 1011-fold at or near the surface of noble metal substrates.13 SERS has been adapted to diagnostics by incorporating antibody moieties for biomarker recognition, leading to detection of viruses14 and antiviral IgGs at pg/mL concentrations.15 Most SERS immunoapproaches to date have utilized monoclonal or polyclonal antibodies that are laborious to isolate and expensive to produce.14,16

Numerous vaccines and antibody therapies developed to combat SARS-CoV-2 and reduce the severity of COVID-19 disease target the trimeric spike protein via which the virus gains entry to host cells.17,18 As mutations in the spike protein can lead to the emergence of virus variants with increased transmissibility, diagnostic tools that can rapidly and sensitively identify SARS-CoV-2, and quickly pivot to identify newly emerging virus variants, are a core facet in suppressing viral spread.

Antibody engineering provides a pathway to faster isolation (3–4 weeks) and less-expensive production of biorecognition moieties. Recombinant single-chain Fv (scFv) antibody fragments (antibody VH and VL domains, joined by a peptide linker19) retain the binding pocket of whole antibodies but lack constant domains, which are unnecessary in vitro and can cross-react in complex matrices.20 Importantly, due to their smaller size (27 kDa compared to 150 kDa monoclonal antibodies) and absence of glycosylation, scFvs can be expressed in inexpensive bacterial systems, such as Escherichia coli.21 Furthermore, large scFv libraries can be rapidly screened in vitro for molecules that bind a target antigen, without the need for immunization, via phage display technology.22,23

In the present study, we describe the isolation of scFvs that bind receptor-binding domain (RBD) of SARS-CoV-2 spike protein, and their incorporation into a point-of-care SERS immunoassay to detect SARS-CoV-2 using a commercially available, handheld, battery-operated device (Figure 1). The assay is sensitive to femtogram quantities of antigen and detects SARS-CoV-2 but does not cross-react with closely related human coronavirus HKU1 spike protein. The assay has potential for widespread use in rapid, point-of-care identification of SARS-CoV-2 infections.

Figure 1.

Figure 1

Schematic of the SERS immunoassay to detect SARS-CoV-2. (A) Magnetic nanoparticles (MNPs) and gold nanoparticles (GNPs) with a Raman scatterer, both coated with virus-binding scFv antibody fragments, form immune complexes in the presence of virus. (B) After pelleting the immunocomplexes (arrowed) using an external magnet, a handheld instrument is used to interrogate the pellet, (C) yielding a SERS spectrum that is diagnostic for the target.

Experimental Section

Materials

All chemicals were from Sigma-Aldrich unless otherwise specified. E. coli amber-suppressor strain TG1 was used to express phage-displayed scFvs for panning and to titer the library and helper phage. E. coli strain HB2151 was used for soluble expression of scFvs. The YamoI human scFv library was from Montarop Yamabhai.22 SARS-CoV-2 proteins and inactivated viruses from BEI Resources (Manasses, Virginia) are listed in the Acknowledgments.

Selection of RBD-Binding ScFv-Phages

Procedures for phage library rescue and titration were as described in ref (22). The library was subjected to three rounds of panning on immunotubes (Maxisorb, Nunc) coated overnight at 4 °C with 200 μg (Round 1), 20 μg (Round 2), or 2 μg (Round 3) of RBD in 1 mL phosphate-buffered saline (PBS). After blocking (R1: Superblock (Thermo Fisher, Ireland); R2: 3% skimmed milk powder in PBS; and R3: 10% fetal bovine serum in PBS) for 2 h at room temperature, tubes were washed three times with PBS. Phage particles (1012 colony-forming units in 4 mL of the appropriate blocking solution) were added to tubes and incubated at room temperature for 1 h with rocking and 1 h without rocking. Unbound phages were removed by washing with PBS/Tween-20 (R1: eight washes with PBS/0.1% Tween-20; R2: R1 plus seven washes with PBS/0.2% Tween-20; and R3: R2 plus five washes with PBS/0.5% Tween-20), followed by 10–20 washes with PBS. Bound phages were eluted using 1 mg/mL trypsin for 10 min with rocking at room temperature, followed by 50 mM glycine-HCl (pH 2.0) for 10 min with rocking at room temperature, and neutralized using 200 mM NaHPO4, pH 7.5. Eluted phages were titered and rescued for successive panning rounds using the KM13 helper phage.22

ELISA Analysis

RBD binding of polyclonal scFv-phage populations eluted after Rounds 1–3 and of monoclonal scFv-phage or soluble scFv isolated after Round 3 was assessed by ELISA (see the Supporting Information).

Soluble ScFv Expression

Plasmid DNA was purified from individual E. coli TG1 clones expressing RBD-binding phages and used to transform E. coli HB2151 cells. Overnight E. coli cultures were recultured in 50 mL LB broth containing 100 μg/mL ampicillin to an OD600 of 0.6–0.7, when bacteria were induced with 1 mM isopropyl β-d-1-thiogalactopyranoside. Culture supernatants were collected after 20 h induction at 30 °C for scFvs 2, 3, and 37, followed by purification by immobilized metal affinity chromatography (IMAC). For scFv 10, cultures were induced at 20 °C, and periplasmic proteins were extracted using ice-cold TSE buffer (200 mM Tris, 500 mM sucrose, 1 mM ethylenediaminetetraacetic acid, pH 8.0) for 30 min on ice with rocking, followed by the addition of ice-cold distilled water for 1 h on ice with rocking. After centrifugation, the supernatant containing the soluble scFv was dialyzed overnight against 5 L of IMAC binding buffer (3.98 M NaCl, 80 mM NaH2PO4, 80 mM Na2HPO4·2H2O) at 4 °C.

Protein Purification

For IMAC purification of scFvs, a 1 mL Hitrap column (GE Healthcare, UK) was loaded with Ni2+ before equilibration with wash buffer (20 mM sodium phosphate, 0.5 M NaCl, pH 7.4) containing 20 mM imidazole. Protein samples were filtered through a 0.4 μm filter, followed by addition of 20 mM imidazole before loading onto the column. The column was washed with 20, 30, and 10 mL wash buffer containing 20, 50, and 80 mM imidazole, respectively, and eluted using wash buffer containing 400 mM imidazole. Eluted fractions were dialyzed against PBS, and purified proteins were analyzed under denaturing conditions in 12% SDS-PAGE. Gels were stained with InstantBlue Coomassie stain (Expedeon, UK), or proteins were transferred to Amersham Protran 0.2 μm nitrocellulose blotting membrane (GE Healthcare, UK). Detection of scFvs utilized a monoclonal antipolyhistidine HRP-conjugated antibody diluted 1:1000 in PBS containing 1% bovine serum albumin (BSA). The color was developed using TMB.

ScFv DNA Analysis

ScFv diversity was analyzed by BstNI restriction analysis of plasmid DNA from RBD-binding clones and electrophoresis on 2% agarose. ScFv genes were sequenced at Eurofins Genomics (Ebersberg, Germany).

SERS Nanotag Synthesis

SERS nanotags were generated by a layer-by-layer method. Briefly, 60 nm GNPs (Ted Pella, Redding, CA or synthesized in-house24) were labeled by mixing 2.6 × 1010 particles with 66 μL of fresh 0.8 mM Nile blue solution in a glass vial with stirring and sonication for 30 min. 1 mL of 4 g/L, pH 7.0 poly(acrylic acid) was added dropwise to stabilize Raman scatterers adsorbed onto GNPs, and the reaction was stirred for 3 h. Particles were washed twice with ultrapure water (16 000 × g, 10 min) and resuspended in 2 mL ultrapure water. A silica shell was then formed using a modified Stöber method.25 While stirring, freshly made 0.3 mM 3-aminopropyltrimethoxysilane (APTMS) was added at a ratio of 1 μL of APTMS to 1 mL of coated GNPs, and after 20 min, 17 mL of 2-propanol and 200 μL of EMSURE ammonia solution (25%) were added under gentle stirring. Tetraethyl orthosilicate (TEOS) was added in four portions (0.5 μL every 15 min) with gentle stirring for an additional 16 h. Excess silica was removed by two absolute ethanol washes (4415 × g, 15 min), and particles were resuspended in 3 mL absolute ethanol. To functionalize silica-coated particles with thiol groups, 1 μL of 0.3 mM degassed 3-mercaptopropyltriethoxysilane (MPTES) was mixed with 1 mL of particles, followed by incubation for 6 h at 37 °C with shaking at 170 rpm. Particles were washed twice with absolute ethanol (16 000 × g, 10 min) and twice with ultrapure water.

ScFv Conjugation to Particles

ScFvs were conjugated to 10 mg/mL magnetic particles (Pierce NHS-Activated Magnetic Beads, cat. #88826, Invitrogen) following the manufacturer’s protocol (see Supporting Information).

SERS Immunoassay

SERS immunoassays were conducted by combining 3 μL scFv-conjugated magnetic beads (2.88 × 107 particles), 12 μL scFv-conjugated SERS nanotags (6.24 × 109 particles), the desired amount of antigen prepared as a mock 50 μL sample in viral transport medium (VTM), and reaction buffer (1× PBS, 1% BSA) to a final volume of 500 μL in a 2 mL glass vial (cat #67502010, Metrohm, Laramie, WY). Assays were incubated at room temperature, shaking at 200 rpm for 20 min, after which formed immunocomplexes were pelleted using an external magnet. Raman spectra of pellets with solution on top were measured with a Mira DS handheld Raman spectrometer (Metrohm) with O-Ring 41 (part #4011953, Danco) inserted into the vial holder to focus the 785 nm laser on the pellet. Spectra were collected using a laser power of 5 (50 mW), integration time 1 s, and raster off, and the peak height was measured at 591 cm–1. All assays were performed in triplicate, and all concentrations are reported as the antigen concentration in 50 μL of VTM.

Limit of Detection Calculations

Varying concentrations of purified Wuhan-Hu-1 trimeric spike protein and inactivated Wuhan-Hu-1 SARS-CoV-2 were used to determine LOD. Signal intensities for LOD were calculated using LOD = X + 3SD, where X is the mean and SD is the standard deviation of the negative control.26,27 These values were 718 and 4343 for the spike protein and inactivated virus, respectively. Antigen concentration versus Raman intensity was graphed, and logarithmic fits for the points above the mentioned LOD intensities were used to convert the Raman intensity at the LOD to an antigen concentration. Equations used were y = 292.81ln(x) – 906.54 and y = 431.96 ln(x) – 244.43 for spike protein and inactivated virus, respectively.

Results and Discussion

Isolation of RBD-Binding ScFvs

Phage display technology is a powerful tool for in vitro isolation of high-affinity antibody fragments against ligands of interest. Compared to traditional, immunization-based methods, it is robust, cost-effective, relatively simple to carry out, does not require animals, and yields target-binding antibody molecules in weeks rather than months.22,23

The YamoI scFv library, which contains more than 108 different human scFvs generated from 140 non-immunized donors,22 was subjected to biopanning against immobilized RBD: the domain of the homotrimeric spike protein via which SARS-CoV-2 interacts with human ACE2 to effect cell entry.28 RBD was selected as a diagnostic target due to its high expression level on SARS-CoV-2,29 for increased detection sensitivity, and its relatively poorly conserved sequence amongst human coronaviruses,17 to provide specificity for SARS-CoV-2.

Increasing washing stringency, decreasing RBD concentration, and varying blocking solution were utilized through three rounds of biopanning to isolate RBD-binding scFvs (Figure 2A), which was evidenced by increased RBD binding of polyclonal phage populations eluted after the second and third biopanning rounds (Figure 2B).

Figure 2.

Figure 2

Isolation of RBD-binding scFvs by phage display. (A) Titers of input and output phage populations throughout the three rounds of library panning. CFU = colony-forming units. (B) ELISA analysis of RBD binding of eluted polyclonal phage-scFv populations. R0: unpanned library; R1–R3: polyclonal phage populations eluted after rounds 1–3 of library panning against immobilized RBD. ELISA wells were coated with blocking solution (light columns) or 2 μg/mL SARS-CoV-2 Wuhan-Hu-1 RBD (dark columns). Values represent the average of three replicate wells, and error bars indicate the standard deviation. A one-way ANOVA, followed by Dunnett’s multiple comparisons test was performed: ns = not significant; ****: p < 0.0001.

Analysis of Anti-SARS-CoV-2 ScFvs

To isolate individual RBD-binding antibody fragments from the polyclonal eluates, phage-displayed scFvs from 40 randomly selected E. coli clones from panning round R3 were screened by ELISA. This identified nine RBD-binding scFvs, DNA fingerprinting of which revealed four distinct profiles. DNA sequencing established the sequences of the four full-length scFv genes, encoding scFvs 2, 3, 10, and 37. The four scFvs were expressed in a soluble, non-phage-linked format using the non-amber-suppressor E. coli HB2151 strain, and purified at yields from 0.5 to 2 mg scFv per liter of bacterial culture (data shown for scFv3 in Figure 3). Half maximal effective concentrations (EC50)—a measure of antibody binding used to screen and affinity-rank antibody molecules30—of 12, 182, and 86 μg/mL were determined by ELISA for RBD for scFvs 2, 3, and 37, respectively (Figure S1). The EC50 of scFv10 could not be calculated as signal saturation was not achieved at 350 μg/mL scFv. As scFvs were isolated against the RBD of spike protein, the ability of scFv3 to bind full-length spike protein was also confirmed (Figure 3C), with an EC50 of 81 μg/mL.

Figure 3.

Figure 3

Purification and SARS-CoV-2 Wuhan-Hu-1 spike protein binding of scFv3 expressed in E. coli. (A) Coomassie-stained SDS-PAGE and (B) Western blot analysis of scFv3 purification. 1: molecular weight markers; 2: E. coli culture supernatant; 3: IMAC column flow through; 4–5: column washes with 20 and 50 mM imidazole, respectively; and 6–9: fractions eluted using 400 mM imidazole. Arrows indicate the expected molecular weight. (C) ELISA analysis of binding of purified scFv3 to 4 μg/mL SARS-CoV-2 Wuhan-Hu-1 spike protein. Values represent the average of three replicate wells, and error bars indicate the standard deviation.

ScFv production in E. coli provides a cost-effective alternative to mammalian expression of whole antibodies or the use of commercial antibodies in immunosensor development, as it is faster, less expensive, generates higher yields, and is easier to scale up than mammalian cell expression.19 While E. coli is poorly adapted to produce large, glycosylated immunoglobulins, it is ideally equipped to express smaller antibody-derived fragments such as scFvs.19,31 ScFvs are also particularly suited to in vitro applications as their variable domains provide binding specificity similar to whole antibodies but the absence of constant domains—necessary in vivo for immune effector functions—reduces the potential for cross-reactivities. Meanwhile, their smaller size and more compact shape19,20 allow for denser packing of target recognition sites on sensor surfaces for improved detection.

SERS Immunodetection of Viral Antigen

While SERS immunoassays share antigen recognition and immunocomplex formation with other antibody-based approaches, SERS detection is orders of magnitude more sensitive than colorimetric or fluorescence-based ELISA, or lateral flow methods.15,32 The SERS nanotags used in this study consist of a 56.6 ± 9.0 nm gold core to which a Raman-scattering dye, Nile blue, was adsorbed and encapsulated within a 5.4 ± 2.1 nm silica shell (Figure S2). Nile blue is a redox dye with a characteristic Raman peak observed at 591 cm–1 (Figure S3). The assay was established based on our previous studies using whole antibodies,14,16 with the incubation time with antigen (20 min) and collection times with the magnet (10 min) varied to optimize the signal to background ratio for the SERS-scFv assay (Figure S4). Assays were carried out in VTM as this is the typical storage medium for SARS-CoV-2 swabs.

SARS-CoV-2 exhibits high overall sequence identity with other beta viruses of the Coronaviridae family, including 81% with HKU1, 80% with SARS-CoV, and 50% with MERS-CoV.33 Spike protein sequences are less conserved between the viruses,17 however, potentially allowing discrimination between SARS-CoV-2 and HKU1, which is responsible for common cold infections. Of the four scFvs, scFv3 strongly differentiated between SARS-CoV-2 and HKU1 coronavirus homotrimeric spike proteins in assays utilizing the same scFv tethered to the MNP and SERS nanotags (Figure 4A). Additional assays containing only scFv3 (scFv3+3 assays) carried out with 1000× higher concentrations of HKU1 spike protein yielded no significant signal (Figure S5), indicating that common coronavirus infections are unlikely to cause false-positive results in the assay.

Figure 4.

Figure 4

ScFv specificity for SARS-CoV-2 spike proteins. (A) SERS assays were performed with the same scFv on both MNP and SERS nanotags. Reactions contained no antigen or 50 ng of Wuhan-Hu-1 SARS-CoV-2 or HKU1 coronavirus homotrimeric spike protein. (B) SERS assays with scFv3 on both MNP and SERS nanotags (scFv3+3 assay). Assays were performed with no antigen or 100 pg of the relevant spike protein: HKU1, Wuhan-Hu-1 SARS-CoV-2, and alpha (B.1.1.7), beta (B.1.351), and delta (B.1.617.2) variants. Data are an average of three replicates and error bars indicate the standard deviation. Two-way (A) or one-way (B) ANOVA by Dunnett’s multiple comparisons tests were performed: ns = not significant; *: p < 0.05; ***p < 0.001; and ****p < 0.0001.

The sensitivity of SERS immunoassays combining scFv3 with scFvs 2, 10, or 37 (scFv3 on SERS nanotags and scFv 2, 10, or 37 on MNPs) was compared to that the scFv3+3 assay. After incubation with 50 ng of Wuhan-Hu-1 S trimer, the signal/background ratio for the scFv3+3 assay was 2.4, and only 1.2, 1.7, and 1.8 for the scFv3+2, 3 + 10, and 3 + 37 reactions, respectively (data not shown). Therefore, based on its sensitivity for SARS-CoV-2 spike protein and lack of cross-reactivity with HKU1 protein, the scFv3+3 SERS immunoassay was utilized in further validation studies.

As mutations in the antibody target can compromise diagnostic tests,34 we investigated the ability of the scFv3+3 assay to detect SARS-CoV-2 variants with known RBD mutations. Homotrimeric spike proteins from all three lineages investigated were successfully detected, with signal intensity equal to or greater than those of the Wuhan-Hu-1 strain: B.1.1.7 (“alpha”: N501Y mutation in RBD), B.1.351 (“beta”: K417N/E484K/N501Y), and B.1.617.2 (“delta”: L452R/T478K)35 (Figure 4B). As further virus variants emerge, the speed and economy of the outlined biopanning-scFv expression-SERS assay pipeline, compared to traditional antibody isolation and production approaches,19 will enable diagnostic tests to be produced and validated in a matter of weeks, for continued monitoring and control of evolving outbreaks. Additionally, the multiplex capability of SERS tests, exploiting the non-overlapping Raman peaks of different scatterers,16 creates the potential to develop an assay utilizing multiple scFvs, which can distinguish between virus variants in a rapid, on-site assay.

Detection of Virus

As scFvs were isolated based on their binding of purified RBD, the ability of the scFv3+3 SERS immunoassay to detect whole virus was investigated. Gamma-inactivated SARS-CoV-2 USA-WA1/2020 isolate, raised in Vero cells, and heat-inactivated SARS-CoV-2 B.1.1.7 strain (alpha variant), cultured in Vero E6 cells, were used at a concentration of 6.49 × 105 genomes/assay, the equivalent of 5–19 pg of purified spike protein.29 All viruses were detected with a signal similar to the 5 pg Wuhan-Hu-1 spike protein positive control (Figure S6). No difference between detection of heat-inactivated and gamma-inactivated virus SARS-CoV-2 Wuhan-Hu-1 virus was observed.

Limit of Detection of SERS Immunoassay

The LOD of the scFv3+3 SERS assay was determined using purified Wuhan-Hu-1 spike protein and inactivated Wuhan-Hu-1 SARS-CoV-2 (Figure 5). The LOD for spike protein was calculated as 257 fg/mL and the LOD for inactivated virus as 4.1 × 104 genomes/mL in the mock sample (Figure S7). This sensitivity compares favorably with immunoassays and lateral flow COVID-19 tests, which have typical reported LODs in the ng/mL or pg/mL range,3639 or 105–107 genomes/mL in the case of LFAs.11 In this study, the LOD for gamma-inactivated SARS-CoV-2 Wuhan-Hu-1 virus was demonstrated to be between 6.56 × 105 and 1.31 × 106 genomes/mL using a commercial LFA (Figure S8)—corresponding to 16× to 32× less sensitive than the scFv3+3 SERS immunoassay. Meanwhile, we have previously demonstrated a SERS assay to be >400-fold more sensitive than an ELISA using the same reagents.15

Figure 5.

Figure 5

Limit of detection of scFv3+3 SERS assay for: (A) purified SARS-CoV-2 Wuhan-Hu-1 spike protein or (B) gamma-irradiated SARS-CoV-2 to simulate a diagnostic sample. Signals are reported as an average of three replicates, and error bars represent the standard deviation. A one-way ANOVA, followed by Dunnett’s multiple comparison test was performed: ns = not significant; **: p < 0.01; ****: p < 0.0001.46

The extremely high sensitivity of the scFv3+3 assay derives from the ability of the SERS platform to differentiate Raman peaks from the background signal at very low target concentrations.32 Multiple studies have reported that viral loads in infected individuals typically peak around symptom onset or within 2–4 days, followed by a gradual decrease over the next 1–3 weeks.40,41 Virus loads of 1.5 × 106 and 1.6 × 105 virus copies/mL have been measured in respiratory tract specimens from patients upon presentation with severe and mild COVID-19 disease, respectively.42 The on-site detection of virus at the LOD of 4.1 × 104 genomes/mL in 30 min by the present test, therefore, suggests a clear public health utility that complements existing test formats. Importantly, while the assay was developed for VTM, a preliminary investigation indicated its compatibility with saliva samples also (Figure S9). Additionally, the assay requires minimal power, relying just on a magnetic separation step and a battery-operated spectrometer.

Most approved RT-qPCRs have LODs around 103 RNA copies per mL,43 with a range from 180 to 600 000 “detectable units” (effectively virus genomes) per mL amongst tests with FDA Emergency Use Authorizations.44 Patient samples exhibiting fewer than 106 copies of E or N protein mRNA per mL have been reported to contain minimal or no measurable infectious virus;41 this has been proposed to indicate that RT-qPCR detects trace RNA amounts after the virus is no longer transmissible, particularly at high cycle threshold values.43,45 Importantly also, as RT-qPCR requires sample transport to dedicated laboratories for RNA purification, amplification, and analysis, its test-to-result time is typically at least 1–2 days, which critically reduces the efficacy of testing and of control of virus spread, compared with rapid, point-of-care tests such as the present assay.43,45

Conclusions

The scFv-SERS detection assay described offers highly sensitive virus detection, a rapid sample-to-result time (30 min), and point-of-care useability, using a commercial, hand-held Raman instrument. It has an LOD of 257 fg/mL spike protein or 4.1 × 104 virus genomes/mL in VTM, which is 1–2 orders of magnitude lower than virus loads typical of infectious individuals. The assay detects B.1.1.7, B.1.351, and B.1.617.2 virus variant spike proteins but does not cross-react with common coronavirus HKU1 spike protein. Its use of in vitro scFv isolation and E. coli expression technologies enables a fast pivot to detect newly emergent variants. The assay can be used to support widespread, sensitive identification of SARS-CoV-2 in clinical, public health, and point-of-care settings.

Acknowledgments

The authors thank Hafsa Ahmad and Garrett Gay for technical assistance, and Noah Hull for helpful discussions. The following reagents were produced under HHSN272201400008C and obtained through BEI Resources, NIAID, NIH: RBD from SARS-CoV-2, Wuhan-Hu-1 with C-Terminal Histidine Tag, Recombinant from HEK293T Cells, NR-52946. The following reagents were obtained through BEI Resources, NIAID, NIH: Spike Glycoprotein (Stabilized) from SARS-CoV-2, Wuhan-Hu-1 with C-Terminal Histidine and Twin-Strep Tags, Recombinant from HEK293 Cells, NR-52724; Spike Glycoprotein (Stabilized) from Human Coronavirus, HKU1 with C-Terminal Histidine and Avi Tags, Recombinant from HEK293F Cells, NR-53713; Spike Glycoprotein (Stabilized) from SARS-Related Coronavirus 2, B.1.351 Lineage with C-Terminal Histidine and Avi Tags, Recombinant from HEK293 Cells, NR-55310; Spike Glycoprotein (Stabilized) from SARS-Related Coronavirus 2, B.1.1.7 Lineage with C-Terminal Histidine and Avi Tags, Recombinant from HEK293 Cells, NR-55311; Spike Glycoprotein (Stabilized) from SARS-Related Coronavirus 2, Delta Variant with C-Terminal Histidine and Avi Tags, Recombinant from HEK293 Cells, NR-55614; Vero E6 Cell Lysate Control, Gamma-Irradiated, NR-53258. The following reagents were deposited by the Centers for Disease Control and Prevention and obtained through BEI Resources, NIAID, NIH: SARS-CoV-2, Isolate USA-WA1/2020, Gamma-Irradiated, NR-52287; SARS-CoV-2, Isolate USA/CA_CDC_5574/2020, Heat Inactivated, NR-55245. ToC image #2 was designed using Freepik.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acssensors.1c02664.

  • Experimental method for ELISA analysis of scFvs and scFv conjugation to particles; EC50 data for RBD-binding scFvs; experimental method and TEM image of SERS nanotags; structure and Raman spectrum of Nile blue; optimization of SERS assay incubations; detection of Wuhan-Hu-1 and HKU1 spike proteins; detection of inactivated SARS-CoV-2 virus variants; calculation of LODs for spike protein and virus; experimental method and lateral flow assay detection of inactivated SARS-CoV-2; and comparison of detection of SARS-CoV-2 in PBS, VTM, and saliva(PDF)

This work was supported by the Health Research Board, Ireland COVID-19 Pandemic Rapid Response Funding Opportunity 2020 (grant no. COV19-2020-081), funds granted from CARES Act Covid Innovation Fund, and by the National Institute of General Medical Sciences of the National Institutes of Health under award number P20GM103432.

The authors declare no competing financial interest.

Notes

D.A. and M.M. contributed equally. The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

Supplementary Material

se1c02664_si_001.pdf (1.2MB, pdf)

References

  1. Yanes-Lane M.; Winters N.; Fregonese F.; Bastos M.; Perlman-Arrow S.; Campbell J. R.; Menzies D. Proportion of asymptomatic infection among COVID-19 positive persons and their transmission potential: A systematic review and meta-analysis. PLoS One 2020, 15, e0241536 10.1371/journal.pone.0241536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Lauer S. A.; Grantz K. H.; Bi Q.; Jones F. K.; Zheng Q.; Meredith H. R.; Azman A. S.; Reich N. G.; Lessler J. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Ann. Intern. Med. 2020, 172, 577–582. 10.7326/m20-0504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Corman V. M.; Landt O.; Kaiser M.; Molenkamp R.; Meijer A.; Chu D. K.; Bleicker T.; Brünink S.; Schneider J.; Schmidt M. L.; Mulders D. G.; Haagmans B. L.; van der Veer B.; van den Brink S.; Wijsman L.; Goderski G.; Romette J. L.; Ellis J.; Zambon M.; Peiris M.; Goossens H.; Reusken C.; Koopmans M. P.; Drosten C. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Eurosurveillance 2020, 25, 2000045. 10.2807/1560-7917.es.2020.25.3.2000045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Vogels C. B. F.; Brito A. F.; Wyllie A. L.; Fauver J. R.; Ott I. M.; Kalinich C. C.; Petrone M. E.; Casanovas-Massana A.; Catherine Muenker M.; Moore A. J.; Klein J.; Lu P.; Lu-Culligan A.; Jiang X.; Kim D. J.; Kudo E.; Mao T.; Moriyama M.; Oh J. E.; Park A.; Silva J.; Song E.; Takahashi T.; Taura M.; Tokuyama M.; Venkataraman A.; Weizman O.-E.; Wong P.; Yang Y.; Cheemarla N. R.; White E. B.; Lapidus S.; Earnest R.; Geng B.; Vijayakumar P.; Odio C.; Fournier J.; Bermejo S.; Farhadian S.; Dela Cruz C. S.; Iwasaki A.; Ko A. I.; Landry M. L.; Foxman E. F.; Grubaugh N. D. Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets. Nat. Microbiol. 2020, 5, 1299–1305. 10.1038/s41564-020-0761-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Russo A.; Minichini C.; Starace M.; Astorri R.; Calò F.; Coppola N. Current Status of Laboratory Diagnosis for COVID-19: A Narrative Review. Infect. Drug Resist. 2020, 13, 2657–2665. 10.2147/idr.s264020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Arevalo-Rodriguez I.; Buitrago-Garcia D.; Simancas-Racines D.; Zambrano-Achig P.; Del Campo R.; Ciapponi A.; Sued O.; Martinez-García L.; Rutjes A. W.; Low N.; Bossuyt P. M.; Perez-Molina J. A.; Zamora J. False-negative results of initial RT-PCR assays for COVID-19: A systematic review. PLoS One 2020, 15, e0242958 10.1371/journal.pone.0242958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Engelmann I.; Alidjinou E. K.; Ogiez J.; Pagneux Q.; Miloudi S.; Benhalima I.; Ouafi M.; Sane F.; Hober D.; Roussel A.; Cambillau C.; Devos D.; Boukherroub R.; Szunerits S. Preanalytical Issues and Cycle Threshold Values in SARS-CoV-2 Real-Time RT-PCR Testing: Should Test Results Include These?. ACS Omega 2021, 6, 6528–6536. 10.1021/acsomega.1c00166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Camacho-Sandoval R.; Nieto-Patlán A.; Carballo-Uicab G.; Montes-Luna A.; Jiménez-Martínez M. C.; Vallejo-Castillo L.; González-González E.; Arrieta-Oliva H. I.; Gómez-Castellano K.; Guzmán-Bringas O. U.; Cruz-Domínguez M. P.; Medina G.; Montiel-Cervantes L. A.; Gordillo-Marín M.; Vázquez-Campuzano R.; Torres-Longoria B.; López-Martínez I.; Pérez-Tapia S. M.; Almagro J. C. Development and Evaluation of a Set of Spike and Receptor Binding Domain-Based Enzyme-Linked Immunosorbent Assays for SARS-CoV-2 Serological Testing. Diagnostics 2021, 11, 1506. 10.3390/diagnostics11081506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Pan Y.; Li X.; Yang G.; Fan J.; Tang Y.; Zhao J.; Long X.; Guo S.; Zhao Z.; Liu Y.; Hu H.; Xue H.; Li Y. Serological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients. J. Infect. 2020, 81, e28–e32. 10.1016/j.jinf.2020.03.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Wu J.-L.; Tseng W.-P.; Lin C.-H.; Lee T.-F.; Chung M.-Y.; Huang C.-H.; Chen S.-Y.; Hsueh P.-R.; Chen S.-C. Four point-of-care lateral flow immunoassays for diagnosis of COVID-19 and for assessing dynamics of antibody responses to SARS-CoV-2. J. Infect. 2020, 81, 435–442. 10.1016/j.jinf.2020.06.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Cubas-Atienzar A. I.; Kontogianni K.; Edwards T.; Wooding D.; Buist K.; Thompson C. R.; Williams C. T.; Patterson E. I.; Hughes G. L.; Baldwin L.; Escadafal C.; Sacks J. A.; Adams E. R. Limit of detection in different matrices of 19 commercially available rapid antigen tests for the detection of SARS-CoV-2. Sci. Rep. 2021, 11, 18313. 10.1038/s41598-021-97489-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cui F.; Zhou H. S. Diagnostic methods and potential portable biosensors for coronavirus disease 2019. Biosens. Bioelectron. 2020, 165, 112349. 10.1016/j.bios.2020.112349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Jeanmaire D. L.; Van Duyne R. P. Surface raman spectroelectrochemistry. J. Electroanal. Chem. Interfacial Electrochem. 1977, 84, 1–20. 10.1016/s0022-0728(77)80224-6. [DOI] [Google Scholar]
  14. Neng J.; Harpster M. H.; Wilson W. C.; Johnson P. A. Surface-enhanced Raman scattering (SERS) detection of multiple viral antigens using magnetic capture of SERS-active nanoparticles. Biosens. Bioelectron. 2013, 41, 316–321. 10.1016/j.bios.2012.08.048. [DOI] [PubMed] [Google Scholar]
  15. Neng J.; Harpster M. H.; Zhang H.; Mecham J. O.; Wilson W. C.; Johnson P. A. A versatile SERS-based immunoassay for immunoglobulin detection using antigen-coated gold nanoparticles and malachite green-conjugated protein A/G. Biosens. Bioelectron. 2010, 26, 1009–1015. 10.1016/j.bios.2010.08.015. [DOI] [PubMed] [Google Scholar]
  16. Neng J.; Li Y.; Driscoll A. J.; Wilson W. C.; Johnson P. A. Detection of Multiple Pathogens in Serum Using Silica-Encapsulated Nanotags in a Surface-Enhanced Raman Scattering-Based Immunoassay. J. Agric. Food Chem. 2018, 66, 5707–5712. 10.1021/acs.jafc.8b00026. [DOI] [PubMed] [Google Scholar]
  17. Premkumar L.; Segovia-Chumbez B.; Jadi R.; Martinez D. R.; Raut R.; Markmann A.; Cornaby C.; Bartelt L.; Weiss S.; Park Y.; Edwards C. E.; Weimer E.; Scherer E. M.; Rouphael N.; Edupuganti S.; Weiskopf D.; Tse L. V.; Hou Y. J.; Margolis D.; Sette A.; Collins M. H.; Schmitz J.; Baric R. S.; de Silva A. M. The receptor binding domain of the viral spike protein is an immunodominant and highly specific target of antibodies in SARS-CoV-2 patients. Sci. Immunol. 2020, 5, eabc8413 10.1126/sciimmunol.abc8413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Bruzzesi E.; Ranzenigo M.; Castagna A.; Spagnuolo V. Neutralizing monoclonal antibodies for the treatment and prophylaxis of SARS-CoV-2 infection. New Microbiol. 2021, 44, 135–144. [PubMed] [Google Scholar]
  19. Wronska M. A.; O’Connor I. B.; Tilbury M. A.; Srivastava A.; Wall J. G. Adding Functions to Biomaterial Surfaces through Protein Incorporation. Adv. Mater. 2016, 28, 5485–5508. 10.1002/adma.201504310. [DOI] [PubMed] [Google Scholar]
  20. Johnson M. Antibody Structure and Fragments. Mater. Methods 2013, 3, 160. 10.13070/mm.en.3.160. [DOI] [Google Scholar]
  21. Hu X.; Hortigüela M. J.; Robin S.; Lin H.; Li Y.; Moran A. P.; Wang W.; Wall J. G. Covalent and Oriented Immobilization of scFv Antibody Fragments via an Engineered Glycan Moiety. Biomacromolecules 2013, 14, 153–159. 10.1021/bm301518p. [DOI] [PubMed] [Google Scholar]
  22. Pansri P.; Jaruseranee N.; Rangnoi K.; Kristensen P.; Yamabhai M. A compact phage display human scFv library for selection of antibodies to a wide variety of antigens. BMC Biotechnol. 2009, 9, 6. 10.1186/1472-6750-9-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. McCafferty J.; Griffiths A. D.; Winter G.; Chiswell D. J. Phage antibodies: filamentous phage displaying antibody variable domains. Nature 1990, 348, 552–554. 10.1038/348552a0. [DOI] [PubMed] [Google Scholar]
  24. Bastús N. G.; Comenge J.; Puntes V. Kinetically Controlled Seeded Growth Synthesis of Citrate-Stabilized Gold Nanoparticles of up to 200 nm: Size Focusing versus Ostwald Ripening. Langmuir 2011, 27, 11098–11105. 10.1021/la201938u. [DOI] [PubMed] [Google Scholar]
  25. Stöber W.; Fink A.; Bohn E. Controlled growth of monodisperse silica spheres in the micron size range. J. Colloid Interface Sci. 1968, 26, 62–69. 10.1016/0021-9797(68)90272-5. [DOI] [Google Scholar]
  26. Li Z.; Zhang S.; Yu T.; Dai Z.; Wei Q. Aptamer-Based Fluorescent Sensor Array for Multiplexed Detection of Cyanotoxins on a Smartphone. Anal. Chem. 2019, 91, 10448–10457. 10.1021/acs.analchem.9b00750. [DOI] [PubMed] [Google Scholar]
  27. Xu W.; Wang L.; Zhang R.; Sun X.; Huang L.; Su H.; Wei X.; Chen C.-C.; Lou J.; Dai H.; Qian K. Diagnosis and prognosis of myocardial infarction on a plasmonic chip. Nat. Commun. 2020, 11, 1654. 10.1038/s41467-020-15487-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Shang J.; Wan Y.; Luo C.; Ye G.; Geng Q.; Auerbach A.; Li F. Cell entry mechanisms of SARS-CoV-2. Proc. Natl. Acad. Sci. U.S.A. 2020, 117, 11727–11734. 10.1073/pnas.2003138117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Yao H.; Song Y.; Chen Y.; Wu N.; Xu J.; Sun C.; Zhang J.; Weng T.; Zhang Z.; Wu Z.; Cheng L.; Shi D.; Lu X.; Lei J.; Crispin M.; Shi Y.; Li L.; Li S. Molecular Architecture of the SARS-CoV-2 Virus. Cell 2020, 183, 730–738. 10.1016/j.cell.2020.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Dotsey E. Y.; Gorlani A.; Ingale S.; Achenbach C. J.; Forthal D. N.; Felgner P. L.; Gach J. S. A High Throughput Protein Microarray Approach to Classify HIV Monoclonal Antibodies and Variant Antigens. PLoS One 2015, 10, e0125581 10.1371/journal.pone.0125581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Hortigüela M. J.; Aumailley L.; Srivastava A.; Cunningham C.; Anandakumar S.; Robin S.; Pandit A.; Hu X.; Wall J. G. Engineering recombinant antibodies for polymer biofunctionalization. Polym. Adv. Technol. 2015, 26, 1394–1401. 10.1002/pat.3619. [DOI] [Google Scholar]
  32. Sabatté G.; Keir R.; Lawlor M.; Black M.; Graham D.; Smith W. E. Comparison of surface-enhanced resonance Raman scattering and fluorescence for detection of a labeled antibody. Anal. Chem. 2008, 80, 2351–2356. 10.1021/ac071343j. [DOI] [PubMed] [Google Scholar]
  33. Ellis P.; Somogyvári F.; Virok D. P.; Noseda M.; McLean G. R. Decoding Covid-19 with the SARS-CoV-2 Genome. Curr. Genet. Med. Rep 2021, 9, 1–12. 10.1007/s40142-020-00197-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. US Food and Drug Administration . Genetic Variants of SARS-CoV-2 May Lead to False Negative Results with Molecular Tests for Detec-tion of SARS-CoV-2 - Letter to Clinical Laboratory Staff and Health Care Providers; 2021. https://www.fda.gov/medical-devices/letters-health-care-providers/genetic-variants-sars-cov-2-may-lead-false-negative-results-molecular-tests-detection-sars-cov-2 (last accessed Dec 08, 2021).
  35. Chakraborty C.; Sharma A. R.; Bhattacharya M.; Agoramoorthy G.; Lee S. S. Evolution, Mode of Transmission, and Mutational Landscape of Newly Emerging SARS-CoV-2 Variants. mBio 2021, 12, e0114021 10.1128/mBio.01140-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Fabiani L.; Saroglia M.; Galatà G.; De Santis R.; Fillo S.; Luca V.; Faggioni G.; D’Amore N.; Regalbuto E.; Salvatori P.; Terova G.; Moscone D.; Lista F.; Arduini F. Magnetic beads combined with carbon black-based screen-printed electrodes for COVID-19: A reliable and miniaturized electrochemical immunosensor for SARS-CoV-2 detection in saliva. Biosens. Bioelectron. 2021, 171, 112686. 10.1016/j.bios.2020.112686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Liu D.; Ju C.; Han C.; Shi R.; Chen X.; Duan D.; Yan J.; Yan X. Nanozyme chemiluminescence paper test for rapid and sensitive detection of SARS-CoV-2 antigen. Biosens. Bioelectron. 2020, 173, 112817. 10.1016/j.bios.2020.112817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Yakoh A.; Pimpitak U.; Rengpipat S.; Hirankarn N.; Chailapakul O.; Chaiyo S. Paper-based electrochemical biosensor for diagnosing COVID-19: Detection of SARS-CoV-2 antibodies and antigen. Biosens. Bioelectron. 2021, 176, 112912. 10.1016/j.bios.2020.112912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Grant B. D.; Anderson C. E.; Williford J. R.; Alonzo L. F.; Glukhova V. A.; Boyle D. S.; Weigl B. H.; Nichols K. P. SARS-CoV-2 Coronavirus Nucleocapsid Antigen-Detecting Half-Strip Lateral Flow Assay Toward the Development of Point of Care Tests Using Commercially Available Reagents. Anal. Chem. 2020, 92, 11305–11309. 10.1021/acs.analchem.0c01975. [DOI] [PubMed] [Google Scholar]
  40. Byrne A. W.; McEvoy D.; Collins A. B.; Hunt K.; Casey M.; Barber A.; Butler F.; Griffin J.; Lane E. A.; McAloon C.; O’Brien K.; Wall P.; Walsh K. A.; More S. J. Inferred duration of infectious period of SARS-CoV-2: rapid scoping review and analysis of available evidence for asymptomatic and symptomatic COVID-19 cases. BMJ Open 2020, 10, e039856 10.1136/bmjopen-2020-039856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Wölfel R.; Corman V. M.; Guggemos W.; Seilmaier M.; Zange S.; Müller M. A.; Niemeyer D.; Jones T. C.; Vollmar P.; Rothe C.; Hoelscher M.; Bleicker T.; Brünink S.; Schneider J.; Ehmann R.; Zwirglmaier K.; Drosten C.; Wendtner C. Virological assessment of hospitalized patients with COVID-2019. Nature 2020, 581, 465–469. 10.1038/s41586-020-2196-x. [DOI] [PubMed] [Google Scholar]
  42. To K. K.-W.; Tsang O. T.-Y.; Leung W.-S.; Tam A. R.; Wu T.-C.; Lung D. C.; Yip C. C.-Y.; Cai J.-P.; Chan J. M.-C.; Chik T. S.-H.; Lau D. P.-L.; Choi C. Y.-C.; Chen L.-L.; Chan W.-M.; Chan K.-H.; Ip J. D.; Ng A. C.-K.; Poon R. W.-S.; Luo C.-T.; Cheng V. C.-C.; Chan J. F.-W.; Hung I. F.-N.; Chen Z.; Chen H.; Yuen K.-Y. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. Lancet Infect. Dis. 2020, 20, 565–574. 10.1016/s1473-3099(20)30196-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Larremore D. B.; Wilder B.; Lester E.; Shehata S.; Burke J. M.; Hay J. A.; Tambe M.; Mina M. J.; Parker R. Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening. Sci. Adv. 2021, 7, eabd5393 10.1126/sciadv.abd5393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. US Food and Drug Administration . SARS-CoV-2 Reference Panel Comparative Data; 2020. https://www.fda.gov/medical-devices/coronavirus-covid-19-and-medical-devices/sars-cov-2-reference-panel-comparative-data (last accessed Dec 08, 2021).
  45. Mina M. J.; Parker R.; Larremore D. B. Rethinking Covid-19 Test Sensitivity - A Strategy for Containment. N. Engl. J. Med. 2020, 383, e120 10.1056/nejmp2025631. [DOI] [PubMed] [Google Scholar]
  46. Abràmoff M. D.; Magalhães P. J.; Ram S. J. Image Processing with ImageJ. Biophot. Int. 2004, 11, 36–42. [Google Scholar]

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