Journal article
Digital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dust
Environmental science & technology, Vol.58(11), pp.4926-4936
03/19/2024
DOI: 10.1021/acs.est.3c10311
PMCID: PMC10956432
PMID: 38452107
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.
Details
- Title: Subtitle
- Digital Surface-Enhanced Raman Spectroscopy-Lateral Flow Test Dipstick: Ultrasensitive, Rapid Virus Quantification in Environmental Dust
- Creators
- Wei Wang - Virginia TechSonali Srivastava - Virginia TechAditya Garg - Virginia TechChuan Xiao - Virginia TechSeth Hawks - Virginia TechJin Pan - Virginia TechNisha Duggal - Virginia TechGabriel Isaacman-VanWertz - Virginia TechWei Zhou - Virginia TechLinsey C Marr - Virginia TechPeter J Vikesland - Virginia Tech
- Resource Type
- Journal article
- Publication Details
- Environmental science & technology, Vol.58(11), pp.4926-4936
- DOI
- 10.1021/acs.est.3c10311
- PMID
- 38452107
- PMCID
- PMC10956432
- NLM abbreviation
- Environ Sci Technol
- ISSN
- 0013-936X
- eISSN
- 1520-5851
- Language
- English
- Date published
- 03/19/2024
- Academic Unit
- Occupational and Environmental Health
- Record Identifier
- 9984787460602771
Metrics
5 Record Views