Digital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dust
dc.contributor.author | Wang, Wei | en |
dc.contributor.author | Srivastava, Sonali | en |
dc.contributor.author | Garg, Aditya | en |
dc.contributor.author | Xiao, Chuan | en |
dc.contributor.author | Hawks, Seth | en |
dc.contributor.author | Pan, Jin | en |
dc.contributor.author | Duggal, Nisha | en |
dc.contributor.author | Isaacman-VanWertz, Gabriel | en |
dc.contributor.author | Zhou, Wei | en |
dc.contributor.author | Marr, Linsey C. | en |
dc.contributor.author | Vikesland, Peter J. | en |
dc.date.accessioned | 2025-03-04T18:00:27Z | en |
dc.date.available | 2025-03-04T18:00:27Z | en |
dc.date.issued | 2024-03-07 | en |
dc.description.abstract | This 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.version | Published version | en |
dc.format.extent | Pages 4926-4936 | en |
dc.format.extent | 11 page(s) | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1021/acs.est.3c10311 | en |
dc.identifier.eissn | 1520-5851 | en |
dc.identifier.issn | 0013-936X | en |
dc.identifier.issue | 11 | en |
dc.identifier.orcid | Vikesland, Peter [0000-0003-2654-5132] | en |
dc.identifier.orcid | Marr, Linsey [0000-0003-3628-6891] | en |
dc.identifier.orcid | Zhou, Wei [0000-0002-5257-3885] | en |
dc.identifier.orcid | Isaacman-VanWertz, Gabriel [0000-0002-3717-4798] | en |
dc.identifier.orcid | Duggal, Nisha [0000-0002-9893-8069] | en |
dc.identifier.pmid | 38452107 | en |
dc.identifier.uri | https://hdl.handle.net/10919/124775 | en |
dc.identifier.volume | 58 | en |
dc.language.iso | en | en |
dc.publisher | American Chemical Society | en |
dc.relation.uri | https://www.ncbi.nlm.nih.gov/pubmed/38452107 | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | surface-enhanced Raman spectroscopy | en |
dc.subject | digital analysis | en |
dc.subject | lateral flow test | en |
dc.subject | SARS-CoV-2 detection | en |
dc.subject | indoor dust | en |
dc.subject.mesh | Humans | en |
dc.subject.mesh | Viruses | en |
dc.subject.mesh | Gold | en |
dc.subject.mesh | Spectrum Analysis, Raman | en |
dc.subject.mesh | Metal Nanoparticles | en |
dc.subject.mesh | Limit of Detection | en |
dc.subject.mesh | Spike Glycoprotein, Coronavirus | en |
dc.title | Digital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dust | en |
dc.title.serial | Environmental Science & Technology | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.other | Article | en |
dc.type.other | Journal | en |
pubs.organisational-group | Virginia Tech | en |
pubs.organisational-group | Virginia Tech/Engineering | en |
pubs.organisational-group | Virginia Tech/Engineering/Civil & Environmental Engineering | en |
pubs.organisational-group | Virginia Tech/Engineering/Electrical and Computer Engineering | en |
pubs.organisational-group | Virginia Tech/Veterinary Medicine | en |
pubs.organisational-group | Virginia Tech/Veterinary Medicine/Biomedical Sciences and Pathobiology | en |
pubs.organisational-group | Virginia Tech/Faculty of Health Sciences | en |
pubs.organisational-group | Virginia Tech/All T&R Faculty | en |
pubs.organisational-group | Virginia Tech/Engineering/COE T&R Faculty | en |
pubs.organisational-group | Virginia Tech/Veterinary Medicine/CVM T&R Faculty | en |
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