Gold–Oligonucleotide Nanoconstructs Engineered to Detect Conserved Enteroviral Nucleic Acid Sequences
AuthorsChauhan, Veeren M.; orcid: 0000-0002-2067-4630; email: firstname.lastname@example.org
Elsutohy, Mohamed M.; email: email@example.com
McClure, C. Patrick; orcid: 0000-0002-1710-1049; email: firstname.lastname@example.org
Irving, William L.; orcid: 0000-0002-7268-3168; email: email@example.com
Roddis, Neil; email: firstname.lastname@example.org
Aylott, Jonathan W.; email: email@example.com
MetadataShow full item record
AbstractEnteroviruses are ubiquitous mammalian pathogens that can produce mild to life-threatening disease. We developed a multimodal, rapid, accurate and economical point-of-care biosensor that can detect nucleic acid sequences conserved amongst 96% of all known enteroviruses. The biosensor harnesses the physicochemical properties of gold nanoparticles and oligonucleotides to provide colourimetric, spectroscopic and lateral flow-based identification of an exclusive enteroviral nucleic acid sequence (23 bases), which was identified through in silico screening. Oligonucleotides were designed to demonstrate specific complementarity towards the target enteroviral nucleic acid to produce aggregated gold–oligonucleotide nanoconstructs. The conserved target enteroviral nucleic acid sequence (≥1 × 10−7 M, ≥1.4 × 10−14 g/mL) initiates gold–oligonucleotide nanoconstruct disaggregation and a signal transduction mechanism, producing a colourimetric and spectroscopic blueshift (544 nm (purple) > 524 nm (red)). Furthermore, lateral-flow assays that utilise gold–oligonucleotide nanoconstructs were unaffected by contaminating human genomic DNA, demonstrated rapid detection of conserved target enteroviral nucleic acid sequence (60 s), and could be interpreted with a bespoke software and hardware electronic interface. We anticipate that our methodology will translate in silico screening of nucleic acid databases to a tangible enteroviral desktop detector, which could be readily translated to related organisms. This will pave the way forward in the clinical evaluation of disease and complement existing strategies to overcome antimicrobial resistance.
CitationBiosensors, volume 11, issue 7, page e238
DescriptionFrom MDPI via Jisc Publications Router
History: accepted 2021-07-07, pub-electronic 2021-07-14
Publication status: Published
Funder: Innovate UK; Grant(s): Partnership Number: 9971
Funder: Engineering and Physical Sciences Research Council; Grant(s): EP/M027333/1, EP/P006485/1
Funder: University of Nottingham; Grant(s): Nottingham Research Fellowship
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