| Literature DB >> 34840515 |
Nantao Li1,2,3, Bin Zhao1,2, Robert Stavins4, Ana Sol Peinetti5, Neha Chauhan1,2, Rashid Bashir1,2,3,6, Brian T Cunningham1,2,3,6, William P King2,4, Yi Lu1,5, Xing Wang1,2,5, Enrique Valera2,6.
Abstract
The COVID-19 pandemic revealed fundamental limitations in the current model for infectious disease diagnosis and serology, based upon complex assay workflows, laboratory-based instrumentation, and expensive materials for managing samples and reagents. The lengthy time delays required to obtain test results, the high cost of gold-standard PCR tests, and poor sensitivity of rapid point-of-care tests contributed directly to society's inability to efficiently identify COVID-19-positive individuals for quarantine, which in turn continues to impact return to normal activities throughout the economy. Over the past year, enormous resources have been invested to develop more effective rapid tests and laboratory tests with greater throughput, yet the vast majority of engineering and chemistry approaches are merely incremental improvements to existing methods for nucleic acid amplification, lateral flow test strips, and enzymatic amplification assays for protein-based biomarkers. Meanwhile, widespread commercial availability of new test kits continues to be hampered by the cost and time required to develop single-use disposable microfluidic plastic cartridges manufactured by injection molding. Through development of novel technologies for sensitive, selective, rapid, and robust viral detection and more efficient approaches for scalable manufacturing of microfluidic devices, we can be much better prepared for future management of infectious pathogen outbreaks. Here, we describe how photonic metamaterials, graphene nanomaterials, designer DNA nanostructures, and polymers amenable to scalable additive manufacturing are being applied towards overcoming the fundamental limitations of currently dominant COVID-19 diagnostic approaches. In this paper, we review how several distinct classes of nanomaterials and nanochemistry enable simple assay workflows, high sensitivity, inexpensive instrumentation, point-of-care sample-to-answer virus diagnosis, and rapidly scaled manufacturing.Entities:
Keywords: Additive manufactured materials; COVID-19 diagnostics; Nanochemistry; Nanomaterials; Nanostructures; Nucleic acid engineering; Point-of-care diagnosis; SARS-CoV-2
Year: 2021 PMID: 34840515 PMCID: PMC8604633 DOI: 10.1016/j.cossms.2021.100966
Source DB: PubMed Journal: Curr Opin Solid State Mater Sci ISSN: 1359-0286 Impact factor: 11.354
Fig. 1Novel nanostructures and nanotechnologies for SARS-CoV-2 detection.
Fig. 2Crumpled graphene FET biosensor. (a) Cross-sectional scheme of the flat (left) and crumpled (right) graphene FET DNA sensor. The blue dot lines represent Debye length in the ionic solution and the length is increased at the convex region of the crumpled graphene, thus more area DNA is inside the Debye length, which makes the crumpled graphene more electrically susceptible to the negative charge of DNA. The inset boxes represent qualitative energy diagram in K-space. Graphene does not have intrinsic bandgap. However, crumpled graphene may open bandgap. (b) SEM images of crumpled graphene. The scale bar is 5 µm (left) and 500 nm (right). (c) Dirac voltage shift of the FET sensor with detection of hybridization using DNA probe. NC is non-complementary control sequences used in the experiments. Extracted from [37] under a Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/.
Fig. 3Dimensional pattern analysis, scaffold design and DENV binding and sensing by DNA star strategy. (a) Distribution of DENV ED3 clusters. The diameter of a virion is 50 nm. Orthodromic distances between trivalent-trivalent and trivalent-pentavalent clusters are 15.3 nm and 14.3 nm, respectively. (b-c) The DNA star scaffold (proved by AFM imaging) is designed to incorporate 10 aptamers to match the pattern and spacing of ED3 clusters. Each DNA strand is indicated by an arrow going from the 5′ to the 3′ end. Five fluorophore–quencher pairs along the inner pentagon of the star remain in a quenching fluorescence resonance energy transfer. (d) Schematic of the SPR assay used to determine the viral binding avidity. (e) 1–4 triangle-containing and full-star were used with normalized aptamer concentrations. Better pattern matching (by adding more triangles to match the correct geometry) leads to stronger binding avidity based on relative SPR signal units. Aptamer binding avidity was used as the baseline. (f) When DENV is present, binding interactions between aptamers and ED3 domains unzip the hairpins into single-stranded (ss) DNA, enabling a fluorescent readout. a, b, d, e, extracted from [39].
Fig. 4SARS-CoV-2 virion sensing using PRISM. (a) Spatial arrangement of SARS trimeric spike proteins and nucleoproteins (N). (b) The DDN probe can be designed and synthesized to match the pattern and spacing of trimeric spike clusters. 3′ end of each DNA oligo is indicated by an arrow. Three spike-targeting binders wiil be placed on each vertex. (c) The PC incorporates active sensing regions with DDN probes attached to the active region for selective capture of SARS-CoV-2 virions.
Fig. 5AC + DC assay for rapid quantitative analysis of COVID-19 IgG in human serum. (a) Schematic illustration of PRAM-based AC + DC immunoassay. Highly cross-adsorbed secondary antibodies are conjugated with 80 nm diameter gold nanourchins via EDC/NHS chemistry and heterobifunctional HS-PEG-COOH linkers to prepare secondary antibody (2oAb) functionalized AuNPs. Then, the COVID-19 IgG sample in a tube was added to a reagent comprised of 2oAb-AuNPs and the mixture is immediately introduced into a PDMS well with spike proteins coating a photonic crystal (PC) surface, followed by PRAM imaging with digital resolution. (b) Digital counting of bound particles with a watershed algorithm in one representative peak intensity value (PIV) image generated by PRAM. The detected individual particles are indicated by red dots. (c) Quantification of serological COVID-19 IgG concentration by digital counting of AuNPs in AC + DC immunoassay. The assay time is 15 min. The dash line represents for the threshold (blank signal + 3 standard deviations). Reproduced from [49], with permission from Elsevier.
Fig. 6Quantification of active pseudotyped SARS-CoV-2 with the aptamer-nanopore system. (a) Scheme of infectious HAdV detection by the aptamer-nanopore system. (b) Normalized rectification efficiencies versus virus concentration. n = 3, technical replicates. Colors correspond to the nanopore modified with different concentrations of UV-inactivated pseudotyped SARS-CoV-2 (blue) and active pseudotyped SARS-CoV-2 (red) (c) Selectivity assay. Inverse of the frecnorm obtained for active pseudotyped SARS-CoV-2 (SARS-2), UV-inactivated pseudotyped SARS-CoV-2 samples (UV-SARS-2); another coronavirus: 229E, and two other pseudoviruses: SARS-CoV-1 (SARS-1) and influenza virus (H5N1). The concentration of each virus is 1 × 106 copies/mL. (d) Comparison of aptamer-nanopore sensor (y-axis) with luciferase assay (x-axis) to quantify active pseudotyped SARS-CoV-2 in human saliva without dilution of the biological sample. n = 3, technical replicates (mean ± SD). Each of these measurements was performed with a new membrane. Extracted from [82] under a Creative Commons Attribution-NonCommercial license.
Fig. 7AM cartridge and portable detection cradle. (a) Labeled cartridge schematic. The inlets mate with Luer lock syringes to deliver the reagents and samples to the rest of the chip. (b) Cartridge images (c) Assembled view of POC cradle with smartphone and optical components. (d) Detailed view of detection region and images of positive and negative sample tests after 40 min. a, b, extracted from [27].
Fig. 8Design evolution timeline of the AM SARS-CoV-2 diagnostic cartridge. Design was done in three major phases working on the inlet, mixing, and detection regions. The entire design process was completed in 46 days with 8 different designs developed and tested.