Digital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dust

dc.contributor.authorWang, Weien
dc.contributor.authorSrivastava, Sonalien
dc.contributor.authorGarg, Adityaen
dc.contributor.authorXiao, Chuanen
dc.contributor.authorHawks, Sethen
dc.contributor.authorPan, Jinen
dc.contributor.authorDuggal, Nishaen
dc.contributor.authorIsaacman-VanWertz, Gabrielen
dc.contributor.authorZhou, Weien
dc.contributor.authorMarr, Linsey C.en
dc.contributor.authorVikesland, Peter J.en
dc.date.accessioned2025-03-04T18:00:27Zen
dc.date.available2025-03-04T18:00:27Zen
dc.date.issued2024-03-07en
dc.description.abstractThis study introduces a novel surface-enhanced Raman spectroscopy (SERS)-based lateral flow test (LFT) dipstick that integrates digital analysis for highly sensitive and rapid viral quantification. The SERS-LFT dipsticks, incorporating gold-silver core-shell nanoparticle probes, enable pixel-based digital analysis of large-area SERS scans. Such an approach enables ultralow-level detection of viruses that readily distinguishes positive signals from background noise at the pixel level. The developed digital SERS-LFTs demonstrate limits of detection (LODs) of 180 fg for SARS-CoV-2 spike protein, 120 fg for nucleocapsid protein, and 7 plaque forming units for intact virus, all within <30 min. Importantly, digital SERS-LFT methods maintain their robustness and their LODs in the presence of indoor dust, thus underscoring their potential for accurate and reliable virus diagnosis and quantification in real-world environmental settings.en
dc.description.versionPublished versionen
dc.format.extentPages 4926-4936en
dc.format.extent11 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1021/acs.est.3c10311en
dc.identifier.eissn1520-5851en
dc.identifier.issn0013-936Xen
dc.identifier.issue11en
dc.identifier.orcidVikesland, Peter [0000-0003-2654-5132]en
dc.identifier.orcidMarr, Linsey [0000-0003-3628-6891]en
dc.identifier.orcidZhou, Wei [0000-0002-5257-3885]en
dc.identifier.orcidIsaacman-VanWertz, Gabriel [0000-0002-3717-4798]en
dc.identifier.orcidDuggal, Nisha [0000-0002-9893-8069]en
dc.identifier.pmid38452107en
dc.identifier.urihttps://hdl.handle.net/10919/124775en
dc.identifier.volume58en
dc.language.isoenen
dc.publisherAmerican Chemical Societyen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/38452107en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectsurface-enhanced Raman spectroscopyen
dc.subjectdigital analysisen
dc.subjectlateral flow testen
dc.subjectSARS-CoV-2 detectionen
dc.subjectindoor dusten
dc.subject.meshHumansen
dc.subject.meshVirusesen
dc.subject.meshGolden
dc.subject.meshSpectrum Analysis, Ramanen
dc.subject.meshMetal Nanoparticlesen
dc.subject.meshLimit of Detectionen
dc.subject.meshSpike Glycoprotein, Coronavirusen
dc.titleDigital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dusten
dc.title.serialEnvironmental Science & Technologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Civil & Environmental Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Electrical and Computer Engineeringen
pubs.organisational-groupVirginia Tech/Veterinary Medicineen
pubs.organisational-groupVirginia Tech/Veterinary Medicine/Biomedical Sciences and Pathobiologyen
pubs.organisational-groupVirginia Tech/Faculty of Health Sciencesen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-groupVirginia Tech/Veterinary Medicine/CVM T&R Facultyen

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