Literature DB >> 34270230

Dye-Loaded Polymersome-Based Lateral Flow Assay: Rational Design of a COVID-19 Testing Platform by Repurposing SARS-CoV-2 Antibody Cocktail and Antigens Obtained from Positive Human Samples.

Faezeh Ghorbanizamani1, Kerem Tok1, Hichem Moulahoum1, Duygu Harmanci1, Simge Balaban Hanoglu1, Ceren Durmus1, Figen Zihnioglu1, Serap Evran1, Candan Cicek2, Ruchan Sertoz2, Bilgin Arda3, Tuncay Goksel4,5, Kutsal Turhan6, Suna Timur1,7.   

Abstract

The global pandemic of COVID-19 continues to be an important threat, especially with the fast transmission rate observed after the discovery of novel mutations. In this perspective, prompt diagnosis requires massive economical and human resources to mitigate the disease. The current study proposes a rational design of a colorimetric lateral flow immunoassay (LFA) based on the repurposing of human samples to produce COVID-19-specific antigens and antibodies in combination with a novel dye-loaded polymersome for naked-eye detection. A group of 121 human samples (61 serums and 60 nasal swabs) were obtained and analyzed by RT-PCR and ELISA. Pooled samples were used to purify antibodies using affinity chromatography, while antigens were purified via magnetic nanoparticles-based affinity. The purified proteins were confirmed for their specificity to COVID-19 via commercial LFA, ELISA, and electrochemical tests in addition to sodium dodecyl sulfate-polyacrylamide gel electrophoresis analysis. Polymersomes were prepared using methoxy polyethylene glycol-b-polycaprolactone (mPEG-b-PCL) diblock copolymers and loaded with a Coomassie Blue dye. The polymersomes were then functionalized with the purified antibodies and applied for the preparation of two types of LFA (antigen test and antibody test). Overall, the proposed diagnostic tests demonstrated 93 and 92.2% sensitivity for antigen and antibody tests, respectively. The repeatability (92-94%) and reproducibility (96-98%) of the tests highlight the potential of the proposed LFA. The LFA test was also analyzed for stability, and after 4 weeks, 91-97% correct diagnosis was observed. The current LFA platform is a valuable assay that has great economical and analytical potential for widespread applications.

Entities:  

Keywords:  COVID-19; dye-loaded polymersome; in vitro diagnostics; lateral flow assay; point-of-care (POC) platform; sample repurposing

Year:  2021        PMID: 34270230      PMCID: PMC8315240          DOI: 10.1021/acssensors.1c00854

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


Since the first outbreak of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the development and implementation of specific diagnostic assays were promptly ensured by various laboratories worldwide. Initially, the detection of viral RNA via molecular assays has been the gold standard for early and precise detection using polymerase chain reaction (PCR).[1] However, PCR faces stringent requirements for its application which consequently pushed pharmaceutical companies to look for more effective methods to bridge the gap.[2] Immunological-based testing seems like a dependable alternative for diagnostics such as the use of lateral flow assays (LFAs). LFA is an immunoassay-based platform that has a great impact in low-income countries. It has many applications in disease diagnostics including infectious diseases.[3] LFAs demonstrate a great advantage as a point-of-care (POC) platform due to fast turnaround and lower prices.[4] Their real importance resides in their assistance to health providers to make a quick diagnosis and proceed for faster treatment measures that can have an important impact during critical situations.[5] LFAs are generally based on visual observation that makes use of colorful molecules such as gold nanoparticles which are considered stable for LFA-based diagnosis.[6] Although gold has many advantages due to the easy synthesis and modification procedures,[7] there are still some disadvantages related to unsteadiness and aggregation, intrinsic plasmonics, and color bleaching.[7,8] Hence, alternative materials continue to be highly sought after. Polymer materials have also found a place in this category, especially polymersomes that can be prepared from the self-assembly of block polymers and create vesicles that can encapsulate a variety of molecules.[9] Additionally, polymersomes have great flexibility which facilitates functionalization and attachment of specific proteins and antibodies.[10] Matching antibodies and specific antigen pairs is an important criterion for the success of immunological testing. The selection of high-affinity antibody–antigen pairs is a slow, laborious, and expensive process (especially for monoclonal and recombinant antibodies).[11] Antigens (e.g., SARS-CoV-2 spike protein) can have mutations that lead to misrecognition. Consequently, targeting multiple antigens could enhance the efficiency of immunological tests. The current study addressed a rational design of a dye-loaded polymersome colorimetric paper-based LFA platform for the detection of SARS-CoV-2 antigens and antibodies using anti-COVID-19 antibody–antigen pairs purified from human samples (Schemes and S1). This work aims to propose a platform that can be both economical compared to other commercial counterparts and present a good alternative to quickly produce diagnostic platforms especially in low-income countries where access is limited.
Scheme 1

Illustration of the Paper-Based LFA for COVID-19 Diagnosis through the Repurposing of Human Positive Serums and Nasal Swabs for Antibody–Antigen Purification

Numbers represent the order with which the approach was taken.

Illustration of the Paper-Based LFA for COVID-19 Diagnosis through the Repurposing of Human Positive Serums and Nasal Swabs for Antibody–Antigen Purification

Numbers represent the order with which the approach was taken.

Experimental Section

Chemicals and Reagents

An immunoaffinity spin column (protein A) was purchased from Thermo Fisher. Anti-SARS-CoV-2 ELISA IgG and IgA were obtained from EUROIMMUN (Luebeck, Germany). Iron oxide (II, III) magnetic nanoparticles (MNPs) (30 nm avg, amine-functionalized; 747327) were provided from Sigma-Aldrich (Germany). LFA COVID-19 IgG/IgM Rapid Test kit was obtained from Unscience Biotechnology Co., Wuhan, China. Nitrocellulose membrane cards were purchased from Millipore (Cheshire, CT). Rabbit anti-IgG was obtained from Raybiotech (GA, USA). All chemicals used in the current work are of high analytical grade and were purchased from Sigma-Aldrich (Germany) unless mentioned otherwise.

Human Samples and Selection

A total of 121 human samples (serums; n = 61 and nasal swabs; n = 60) collected by trained healthcare workers from patients whose personal information and medical records were anonymized and codified at Ege University Hospital (Izmir, Turkey) from November 2020 to March 2021. Molecular RT-PCR was performed by the hospital for COVID-19 diagnosis, after which, an ELISA was performed to determine specific Covid-19 antibody levels. The samples were assembled as negative and positive groups and stored at −20 °C until subsequent use. The study on human samples was approved by the Ege University, Clinical Research Ethics Committee (20-8T/28).

SARS-CoV-2 Specific Antigen and Antibody Purification

Human serum samples with high anti-COVID-19 IgG/IgA levels were used for the antibody purification using an immunoaffinity spin column (protein A column). The eluted antibody fraction was stored at −20 °C in the aliquots until used. The specificity of the purified antibodies for COVID-19 was determined using commercial anti-COVID-19 IgG and IgA ELISA and LFA kits. Antigen purification was performed by an affinity-based interaction using antibody-functionalized MNPs (MNP-Ab) and swab samples with high viral loads. Samples were stored at −20 °C until further use. The purified antigen fraction was confirmed by a screen-printed electrode (SPE)-based electrochemical analysis using differential pulse voltammetry. The detection procedure has been described in detail in an earlier report[12] and in the Supporting Information. The purified antibodies and antigens were analyzed by standard sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE).[13]

Polymersome Preparation and Characterization

The detailed synthesis process and characterization of the dye-loaded polymersome is described in the Supporting Information section. Briefly, methoxy poly(ethylene glycol-block-caprolactone) copolymers (mPEGPCL) were prepared according to a previously reported protocol.[14] The hydroxyl group of the mPEGPCL was modified to create a carboxylic acid-end group (mPEGPCLCOOH)[15] followed by an amine modification to obtain the final amine-modified mPEGPCL (mPEGPCL–NH2) copolymers.[16] The amine modification is a necessary step for the subsequent oriented functionalization with the antibody. The dye encapsulation and polymersome formation were processed by following the previously reported co-assembly method[17] and Coomassie Brilliant Blue G-250 dye (CBBG) as the coloring agent. The conjugation of the previously purified antibodies over the surface of the dye-loaded polymersome was performed using a standard EDC/NHS chemistry protocol. The final product (immunopolymersome) was kept at +4 °C for further use. The characterization of the polymersome components in each reaction step was analyzed via1H NMR (Varian Mercury-plus/AS-400) and FTIR (Spectrum Two FT-IR Spectrometer—PerkinElmer). In addition, the dynamic size of the prepared polymersomes was analyzed via dynamic light scattering (DLS) (Zetasizer NanoZS, Malvern Instruments). Visual observations of the polymersomes were performed under scanning electron microscopy (SEM, Thermo Scientific Apreo S). The dye encapsulation efficiency was calculated by measuring the entrapped CBBG concentration and expressed in percentage.

LFA Design and Sample Analysis

The application of the purified antibody–antigen pairs for COVID-19 diagnosis consisted of assembling a paper-based LFA model and dye-loaded polymersomes for the creation of two LFA types; antigen test using sandwich-type LFA (1) and antibody test utilizing a competitive type LFA (2) (Scheme ). Immunoassay strips consisted of control (C) and test (T) lines drawn over a nitrocellulose membrane according to the method described by Shukla et al.(18) A detailed protocol for the LFA preparation is given in the Supporting Information. The prepared membrane pieces were kept in an airtight plastic bag at 4 °C until further experiments. The assay format consisted of the immunopolymersome solution, serum and nasal swab samples, and nitrocellulose strips. In short, the assay was initiated by mixing 20 μL of polymersome solution with 10 μL of samples. The prepared mixture was then dropped over the sample pad and allowed for at least 5 min for migration.

Analytical Characteristics

Repeatability and Reproducibility

Same human samples were analyzed 10 times to determine the repeatability of the immunostrip, whereas reproducibility was examined over different immune strips prepared at different times (n = 5).

Stability of the Lateral Flow Test Strips

Samples were applied onto the strips for stability analysis using a batch of LFA strips stored at 25 °C with silica gel packs to absorb humidity. Samples were tested weekly over a period of 4 weeks.

Statistics

The results are presented as mean and standard deviation. The statistical differences were analyzed using a simple Student’s t-test (Graphpad Prism 8.0). The p values < 0.05 were considered as statistically significant.

Results and Discussion

Since the worldwide outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), many diagnostic approaches have been used. The advantages and drawbacks of each technique should be considered by the healthcare physicians to properly manage and contain the spread of the virus. As such, the preparation of a specific targeting diagnosis test needs a proper understanding of the viral protein structures.[19] The most recognized protein is the spike glycoprotein (S) found on the surface, which facilitates the attachment to host cells. The nucleocapsid protein (N) allows for the binding of the RNA and forms a nucleocapsid. Membrane proteins (M) are structural components that link membranes to capsids. The other important component of SARS-CoV-2 is the small envelope protein (E) which is implicated in the burgeoning of the virus.[2] Various countries are using one or a combination of these targets in their diagnostic applications. The RT-PCR continues to be the standard strategy for COVID-19 detection. However, there has been less demand for this method due to the high cost and instability of transported RNA that can give false-negative results.[20] POC immunoassays are more appealing, given their sensitivity and fast turnaround. The key factor in immuno-based assays resides in the selection of adequate antibody–antigen pairs.[11,21] The current study proposes a paper-based colorimetric LFA for the detection of COVID-19 antigens and antibodies using a blue dye-loaded polymersome. The main originality of the proposed platform resides in the rational design of a human serum and nasal swab repurposing system for diagnosis applications. This was achieved by purification of COVID-19 specific antigens and antibodies from swabs and serums, respectively (Scheme ). In addition, the repurposing of human antibody or antigen mix containing different immunoglobulins and antigens is hypothesized to enhance the diagnosis capacity by recognizing various targets instead of a specific protein. In the case of antigen detection, the T-line in the LFA design comprised an “antibody cocktail” which can be considered as an “all-in-one” concept instead of single targeting using pure or monoclonal Ab. This is very important to provide more recognizing sites for virus capture.

Antibody and Antigen Purification from Human COVID-19 Samples

Acquired samples were analyzed by RT-PCR and ELISA to determine the positive and negative samples. From the 61 swab samples, 50 were found positive and 11 were negative. Considering the threshold cycle (Ct) values, positive samples were further divided into low (n = 1), intermediate (n = 18), and high (n = 31) subgroups (Figure A,B). Ct refers to the number of cycles needed to amplify a viral RNA to reach a detectable level. These values are closely related to the virus load in the samples with high virus quantity needing a lower cycle number to be detected. Researchers have grouped patients’ RT-PCR results into high (Ct ≤ 25), intermediate (25 < Ct < 35), and low (Ct ≥ 35) genomic load cohorts.[22,23] Considering the Ct values, high load samples were selected for the purification of antigens. On the other hand, serums (n = 60) were tested using commercial COVID-19 IgG and IgA ELISA tests. For the purification of COVID-19 antibodies, samples showing the presence of IgG and IgA (n = 32) were selected (Figure C–E). Antibody production in infected patients becomes detectable 4–7 days after the COVID-19 onset.[11] Our data corroborate the earlier information given that computed tomography results obtained estimated that patients were admitted 7–21 days post-infection (data not shown). Serums were treated with a standard protocol for antibody purification and the purified antibody mix was controlled with ELISA and LFA antibody tests (Figure F).
Figure 1

Analysis of human samples via RT-PCR and ELISA for COVID-19 antigen/antibody purification. (A) Nasal swab samples distribution after RT-PCR analysis showing negative (n = 11) and positive (n = 50) samples. (B) Categorization of the COVID-19 positive samples according to Ct values. (C–E) Human serum sample distribution after analysis for COVID-19 antibodies using commercial ELISA tests. (F) Antibody titer of the purified antibodies using commercial COVID-19 antibody ELISA test (the LFA represents a parallel test for COVID-19 IgG/IgM detection). (G) Electrochemical analysis of the purified antigens using MNPs functionalized with the purified antibodies tested over a SPE. (H) SDS-PAGE analysis of both purified antibodies and antigens.

Analysis of human samples via RT-PCR and ELISA for COVID-19 antigen/antibody purification. (A) Nasal swab samples distribution after RT-PCR analysis showing negative (n = 11) and positive (n = 50) samples. (B) Categorization of the COVID-19 positive samples according to Ct values. (C–E) Human serum sample distribution after analysis for COVID-19 antibodies using commercial ELISA tests. (F) Antibody titer of the purified antibodies using commercial COVID-19 antibody ELISA test (the LFA represents a parallel test for COVID-19 IgG/IgM detection). (G) Electrochemical analysis of the purified antigens using MNPs functionalized with the purified antibodies tested over a SPE. (H) SDS-PAGE analysis of both purified antibodies and antigens. COVID-19 antigens were purified using MNPs and controlled using an electrochemistry-based immunoanalysis over an SPE (Figure G). We have shown in an earlier work that SPE-MNP biosensors possess a high sensitivity for selective and specific detection of biomolecules.[12] Both purified antibodies and antigens were analyzed via SDS-PAGE. Although the purified antibodies contain IgG (monomer) and IgA (monomer or dimer), the reduction by SDS in the electrophoresis demonstrates two bands of ∼50 and ∼25 kDa corresponding to the heavy and light chains of immunoglobulins (Figure H). The purified antigens showed two bands at ∼50 and ∼70 kDa (Figure H). These bands were determined as COVID-19 S and N proteins via mass spectrometry (data not shown).

Synthesis and Characterization of Dye-Loaded and Functionalized Polymersomes

The block copolymer of mPEGPCL was synthesized via a ring-opening polymerization using the hydroxyl end group of PEG as an initiator and hydrochloric acid as a catalyst (Figure A). The molecular weight of the mPEGPCL copolymer was calculated (Mw = 2510) by 1H NMR from the integral ratio of the PEG methylene protons (3H, a) and PCL methylene protons (2H, f) (Figure D). A mPEG-PCL-COOH copolymer was also synthesized by reacting hydroxyl end group of mPEGPCL with succinic anhydride. The appearance of a new proton signal at 2.65 ppm (the 2CH2 proton of PCL (4H, h)) in 1H NMR confirmed the structure (Figure A,D). FT-IR results showed that the intensity of the peak absorbance of the C=O functional group increased with O–H peak absorbance, which determined the structure of mPEGPCLCOOH (Figure C). The structure of mPEGPCL–NH2 was identified by 1H NMR and the amine proton signal at 1.10 ppm. Similar to 1H NMR results, FT-IR results also determined the mPEGPCL–NH2 structure via peaks at 3357, 1643, 1560, and 1239 cm–1 (Figure C). The structure of polyclonal anti-COVID antibody conjugated polymersome was confirmed by FT-IR (Figure B,C). The comparison of mPEGPCL–NH2 with antibody-conjugated polymersomes showed some differences in the peak absorbance correlated to the antibody conjugation in the sample. The decrease in the intensity of the peak absorbance of the C=N stretching band as well as N–H bending in the antibody-conjugated polymersomes confirmed an antibody attachment on the polymersomes’ surface.
Figure 2

Synthesis and characterization of the dye-loaded polymersome. (A) Synthesis steps of the AB type copolymers with −NH2 reactive groups. (B) Vesicle formation, dye encapsulation, and antibody attachment over the polymersome. (C,D) FT-IR and 1H NMR characterization of the polymersome components. (E) SEM observation of the dye-loaded polymersome (left, 80,000× magnification) and antibody-functionalized dye-loaded polymersome (right, 50,000× magnification).

Synthesis and characterization of the dye-loaded polymersome. (A) Synthesis steps of the AB type copolymers with −NH2 reactive groups. (B) Vesicle formation, dye encapsulation, and antibody attachment over the polymersome. (C,D) FT-IR and 1H NMR characterization of the polymersome components. (E) SEM observation of the dye-loaded polymersome (left, 80,000× magnification) and antibody-functionalized dye-loaded polymersome (right, 50,000× magnification). The prepared polymersomes were further characterized by DLS and SEM analysis, showing a spherical structure (Figure E) and a dynamic size of 100 ± 13.23 nm. The encapsulation of the CBBG and functionalization with antibodies increased the size to 197.4 ± 22.25 nm (Table S1). The attachment of the antibodies on the surface of the polymersomes was further confirmed via zeta-potential analysis showing a decrease in surface charge. The inclusion of CBBG showed a high encapsulation efficiency reaching 93–95% (Table S1). The use of fluorescent and organic dyes has been widely applied in labeling molecules in complex environments. Nevertheless, the majority of dyes have hydrophobic characteristics, which greatly hinder their applications in vitro and in vivo.[24] The advancement in encapsulation technology allowed the development of various strategies to encapsulate hydrophobic dyes and easily use them for different biomedical applications. The concept of loading dyes in nanostructures is not recent. Many research studies have invested in the development of nanomaterials which can be considered as the state-of-art tools to replace the current generation of molecules (gold nanoparticles, fluorescent dye, etc.), especially in colorimetric and optical diagnostic applications.[24]

Applications of the Purified Antibody–Antigen and the Dye-Loaded Polymersome in Diagnostics

The next step of our investigation considered the use of the repurposed human samples (antigens and antibodies) to create a colorimetric paper-based biosensor. Two LFAs were proposed: (1) a sandwich-type LFA that used the purified antibodies over the nitrocellulose strips to detect the antigen presence in nasal swabs and (2) a competitive assay with the purified antigens anchored on the immunostrips to detect COVID-19 antibodies in suspected human serums (Figure A). Our obtained data were compared with the initial results obtained from RT-PCR and commercial ELISA testing and demonstrated an overall agreement of 93% for the antigen detection and 92.2% for antibody detection (Figure B,C). On the other hand, our diagnostic platform demonstrated a high level of sensitivity and showed 86 and 84.5% correct diagnosis for antigen and antibody detection, respectively (Figure B,C). The specificity and sensitivity of antigen detection have been demonstrated to be highly dependent on Ct values and decreases when viral load is low.[25,26] Indeed, the proposed LFA was further divided according to Ct values into high, intermediate, and low subgroups. Here, the high viral load group showed a 94% sensitivity and this sensitivity decreases with low Ct values (Figure B). However, given the limited number of samples with low viral load (n = 1), it is speculated that increasing the sample number would give a better evaluation of the sensitivity of the proposed LFA system. Antibody detection through the proposed LFA platform demonstrated a 91% sensitivity to double-positive samples (IgG+/IgA+) compared with 75 and 57% to single IgG+ and IgA+, respectively (Figure C). This can be attributed to IgG being the major component of immunoglobulins in serum samples.
Figure 3

LFA application of the purified antigens and antibodies for COVID-19 diagnosis. (A) Visual observations of the proposed dye-loaded based LFA for the detection of COVID-19 antigens in the nasal swab sample (sandwich-type LFA, upper row) and antibodies in serum samples (competitive type, lower row). (B) Accuracy of the proposed LFA compared with RT-PCR data for antigen detection. (C) Accuracy of the prepared LFA compared with ELISA results for COVID-19 antibodies.

LFA application of the purified antigens and antibodies for COVID-19 diagnosis. (A) Visual observations of the proposed dye-loaded based LFA for the detection of COVID-19 antigens in the nasal swab sample (sandwich-type LFA, upper row) and antibodies in serum samples (competitive type, lower row). (B) Accuracy of the proposed LFA compared with RT-PCR data for antigen detection. (C) Accuracy of the prepared LFA compared with ELISA results for COVID-19 antibodies. Antibodies can be detected in patients around a week after infection. This period is different with each antibody species. Therefore, antibody recognition in samples offers an indication of the time of infection onset. This is important to provide adequate treatments.[11] The proposed dye-loaded COVID-19 LFA platform using repurposed antigens and antibodies from human samples aimed to an overall detection. We hypothesized that enhancing the number of detectable regions (by using a mix of antigens or a polyclonal antibody mix) can enhance the detection ability of the diagnostic platform. Various studies published in the recent years suggested multiplexing the diagnostic tools for antibodies and antigens[27] and fewer have analyzed IgA in COVID-19 cases.[28] There have been several paper-based diagnostic approaches developed for the colorimetric and fluorimetric detection of COVID-19. Gold nanoparticles (AuNPs) are considered as the most employed molecule in colorimetric assays (Table S2). Indeed, some teams developed paper-based optical antigen assays for the diagnosis of COVID-19, where they made use of the fluorescence of various nanoparticles to produce signals.[29,30] The agreement with the PCR was around 73–99% which is close to the results found in the current study. The use of fluorescence in these studies necessitate the usage of specific detectors which can compromise portability.[30] As such, the use of colorimetric indicators provides an advantageous position in POC development. The use of AuNPs for the detection of antibodies has also been studied extensively during the pandemic. Li et al. developed a portable colorimetric LFA assay for the detection of IgG/IgM antibodies.[31] Their data demonstrated an 80–90% specificity. Another study by Cavalera et al. proposed an LFA system for the detection of various antibodies using AuNPs conjugated with nucleocapsid proteins.[32] Their results showed a 95.7–97.8% sensitivity. Comparing the various studies with the current dye-loaded polymersome-based LFA system shows that the performances are quite close, whereas our LFA system boasts the fastest detection time (5 min) (Table S2). Other paper-based systems using target and signal amplifications such as gene replication and fluorescence enhancement can reach a sensitivity of 99% (Table S2). These methods need longer sample processing and preparation in addition to loss of portability in some cases.

Repeatability, Reproducibility, and Stability of LFA Platform

The repeatability of the current COVID-19 biosensor was analyzed through repeated testing of the same samples. The sample testing showed a 97 and 96.4% repeatability for both antigen and antibody diagnosis (Figure A,B). Additionally, the reproducibility was tested over different batches of immunostrips, which was 98.9 and 99% (Figure C,D). Importance of repeatability and reproducibility is crucial in nanobiosensor development. It is recommended that a coefficient of variation lower than 10% is needed to validate and increase the reliability of developed biosensors.[33] The stability of the LFAs was also followed during 4 weeks after preparation. Data showed high stability of the prepared platform with a 100% rate for both positive and negative samples during the first 2 weeks after preparation. Starting from the third week, a slight decrease of 3–4% was observed (Figures E,F and S1). The stocking conditions of the current immunostrips consisted of stable temperature and humidity. It is suspected that exposure to air affected the proteins and the use of sealed packaging conditions could elongate the stability of the platform longer.
Figure 4

Repeatability, reproducibility, and stability of the proposed LFA diagnosis platform. (A,B) Repeatability analysis of the proposed LFAs for the detection of antibodies and antigens (n = 10). (C,D) Reproducibility of the platform using different immunostrips (n = 5). (E,F) Stability of the LFA platform during 4 weeks at room temperature conditions. Wk = week.

Repeatability, reproducibility, and stability of the proposed LFA diagnosis platform. (A,B) Repeatability analysis of the proposed LFAs for the detection of antibodies and antigens (n = 10). (C,D) Reproducibility of the platform using different immunostrips (n = 5). (E,F) Stability of the LFA platform during 4 weeks at room temperature conditions. Wk = week. Mitigating the spread of a pandemic necessitates fast response in developing diagnostic tools that are fast, easy to use, and low in price. The improvements seen in COVID-19 diagnostics have been very encouraging, especially in POC development. Presently, molecular-based diagnostics (i.e., PCR) remains the standard approach for COVID-19 detection. However, it is heavily burdened by the need for equipped facilities and trained staff that are highly lacking in remote regions and low-income countries.[34] As such, thinking of alternatives to lower the cost and make easy-to-prepare diagnostic tools, we proposed the repurposing of human samples to obtain COVID-19-specific antigens and antibodies instead of purchasing antibodies that might be costly. Our approach considered simple affinity techniques for the purification process and the utilization of these proteins in LFA development demonstrated a high potential for a bigger patient cohort screening. Indeed, the technique suffers from some limitations regarding the sensitivity in comparison with RT-PCR where genomic content is amplified.[35] There is also the fact that the current sample group contains only one sample for the low virus load which cannot be a representative of the efficiency of the proposed system. As such, many options to enhance the current platform are possible: (1) enhancing the sample number and distribution to encompass the various levels of virus content (high, intermediate, and low). (2) Employing a second step of antibody purification to separate the COVID-19-specific antibodies from the rest will be very advantageous for enhancing sensitivity and selectivity. (3) Using quantitative tools for the immunostrip analysis such as smartphone-assisted image analysis can also help standardize the measurement and lower arbitrary conclusions. (4) The utilization of fluorescent dyes might enhance the detection of low viral load-containing samples; however, fluorescent analysis equipment would be needed. It should be understood that asymptomatic individuals comprise 20–80% of total cases and immunological diagnosis represents an advantage in large-scale screening.[36] Additionally, the concept of using a cocktail of antibodies recognizing different epitopes has been shown to produce enhanced recognition capacity compared to specific monoclonal antibodies.[37,38] Lastly, the potential of dye-loaded polymersomes as a material for colorimetric assays remains in its first steps compared to the well-established tests that use gold nanoparticles. It would be interesting to perform a comparative study between the two materials in order to provide a better understanding of the advantages provided by the polymersomes.

Conclusions

We have established a paper-based LFA nanodiagnostic platform using dye-loaded polymersomes and repurposed human samples for the purification of antigens and antibodies. Our data showed the successful use of LFA as a practical adaptable POC tool for the other possible pandemic cases. The continuation of this study is planned as clinical study. Moreover, the approach is meant to provide an alternative and supplement of diagnostic kits, especially with the continuously increasing demand. In conclusion, with the urgent need for timely detection of infection, our proposed platform is a useful assay, nevertheless, caution is needed before implementation in the community.
  35 in total

1.  Improving the reproducibility, accuracy, and stability of an electrochemical biosensor platform for point-of-care use.

Authors:  Lung-Chieh Chen; Erick Wang; Chun-San Tai; Yuan-Chen Chiu; Chang-Wei Li; Yan-Ren Lin; Tsung-Han Lee; Ching-Wen Huang; Jung-Chih Chen; Wen Liang Chen
Journal:  Biosens Bioelectron       Date:  2020-02-20       Impact factor: 10.618

2.  Applying strand displacement amplification to quantum dots-based fluorescent lateral flow assay strips for HIV-DNA detection.

Authors:  Xilei Deng; Cong Wang; Ya Gao; Jingwen Li; Wei Wen; Xiuhua Zhang; Shengfu Wang
Journal:  Biosens Bioelectron       Date:  2018-05-15       Impact factor: 10.618

3.  Application of Biofunctionalized Magnetic Nanoparticles Based-Sensing in Abused Drugs Diagnostics.

Authors:  Serdar Sanli; Faezeh Ghorbani-Zamani; Hichem Moulahoum; Zinar Pinar Gumus; Hakan Coskunol; Dilek Odaci Demirkol; Suna Timur
Journal:  Anal Chem       Date:  2019-12-19       Impact factor: 6.986

Review 4.  Personalized diagnostics and biosensors: a review of the biology and technology needed for personalized medicine.

Authors:  Minhaz Uddin Ahmed; Ishtiaq Saaem; Pae C Wu; April S Brown
Journal:  Crit Rev Biotechnol       Date:  2013-04-22       Impact factor: 8.429

5.  Quantification of intracellular payload release from polymersome nanoparticles.

Authors:  Edoardo Scarpa; Joanne L Bailey; Agnieszka A Janeczek; Patrick S Stumpf; Alexander H Johnston; Richard O C Oreffo; Yin L Woo; Ying C Cheong; Nicholas D Evans; Tracey A Newman
Journal:  Sci Rep       Date:  2016-07-11       Impact factor: 4.379

6.  SARS-CoV-2 Coronavirus Nucleocapsid Antigen-Detecting Half-Strip Lateral Flow Assay Toward the Development of Point of Care Tests Using Commercially Available Reagents.

Authors:  Benjamin D Grant; Caitlin E Anderson; John R Williford; Luis F Alonzo; Veronika A Glukhova; David S Boyle; Bernhard H Weigl; Kevin P Nichols
Journal:  Anal Chem       Date:  2020-08-05       Impact factor: 6.986

Review 7.  How should diagnostic kits development adapt quickly in COVID 19-like pandemic models? Pros and cons of sensory platforms used in COVID-19 sensing.

Authors:  Hichem Moulahoum; Faezeh Ghorbanizamani; Figen Zihnioglu; Kutsal Turhan; Suna Timur
Journal:  Talanta       Date:  2020-08-13       Impact factor: 6.057

8.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).

Authors:  Ruiyun Li; Sen Pei; Bin Chen; Yimeng Song; Tao Zhang; Wan Yang; Jeffrey Shaman
Journal:  Science       Date:  2020-03-16       Impact factor: 47.728

9.  Is Higher Viral Load in SARS-CoV-2 Associated with Death?

Authors:  Klinger Soares Faíco-Filho; Victor Cabelho Passarelli; Nancy Bellei
Journal:  Am J Trop Med Hyg       Date:  2020-11       Impact factor: 2.345

10.  Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity.

Authors:  Ellen Shrock; Eric Fujimura; Tomasz Kula; Richard T Timms; I-Hsiu Lee; Yumei Leng; Matthew L Robinson; Brandon M Sie; Mamie Z Li; Yuezhou Chen; Jennifer Logue; Adam Zuiani; Denise McCulloch; Felipe J N Lelis; Stephanie Henson; Daniel R Monaco; Meghan Travers; Shaghayegh Habibi; William A Clarke; Patrizio Caturegli; Oliver Laeyendecker; Alicja Piechocka-Trocha; Jonathan Z Li; Ashok Khatri; Helen Y Chu; Alexandra-Chloé Villani; Kyle Kays; Marcia B Goldberg; Nir Hacohen; Michael R Filbin; Xu G Yu; Bruce D Walker; Duane R Wesemann; H Benjamin Larman; James A Lederer; Stephen J Elledge
Journal:  Science       Date:  2020-09-29       Impact factor: 63.714

View more
  5 in total

1.  Paper-based lateral flow assay using rhodamine B-loaded polymersomes for the colorimetric determination of synthetic cannabinoids in saliva.

Authors:  Hichem Moulahoum; Faezeh Ghorbanizamani; Suna Timur
Journal:  Mikrochim Acta       Date:  2021-11-03       Impact factor: 5.833

Review 2.  Nano-Scaled Materials and Polymer Integration in Biosensing Tools.

Authors:  Hichem Moulahoum; Faezeh Ghorbanizamani; Emine Guler Celik; Suna Timur
Journal:  Biosensors (Basel)       Date:  2022-05-05

Review 3.  Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19.

Authors:  Ying Zhang; Yujuan Chai; Zulu Hu; Zhourui Xu; Meirong Li; Xin Chen; Chengbin Yang; Jia Liu
Journal:  Front Bioeng Biotechnol       Date:  2022-05-03

4.  'All In One' SARS-CoV-2 variant recognition platform: Machine learning-enabled point of care diagnostics.

Authors:  Duygu Beduk; José Ilton de Oliveira Filho; Tutku Beduk; Duygu Harmanci; Figen Zihnioglu; Candan Cicek; Ruchan Sertoz; Bilgin Arda; Tuncay Goksel; Kutsal Turhan; Khaled Nabil Salama; Suna Timur
Journal:  Biosens Bioelectron X       Date:  2022-01-10

5.  Fluorescent bioassay for SARS-CoV-2 detection using polypyrene-g-poly(ε-caprolactone) prepared by simultaneous photoinduced step-growth and ring-opening polymerizations.

Authors:  Tugba Celiker; Faezeh Ghorbanizamani; Hichem Moulahoum; Emine Guler Celik; Kerem Tok; Figen Zihnioglu; Candan Cicek; Ruchan Sertoz; Bilgin Arda; Tuncay Goksel; Kutsal Turhan; Suna Timur; Yusuf Yagci
Journal:  Mikrochim Acta       Date:  2022-04-26       Impact factor: 6.408

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.