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

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 d...

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Bibliographic Details
Published inEnvironmental science & technology Vol. 58; no. 11; pp. 4926 - 4936
Main Authors Wang, Wei, Srivastava, Sonali, Garg, Aditya, Xiao, Chuan, Hawks, Seth, Pan, Jin, Duggal, Nisha, Isaacman-VanWertz, Gabriel, Zhou, Wei, Marr, Linsey C., Vikesland, Peter J.
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 19.03.2024
Subjects
Background noise
Core-shell particles
Dust
Ecotoxicology and Public Health
Gold - chemistry
Humans
Limit of Detection
Metal Nanoparticles - chemistry
Nanoparticles
Nucleocapsids
Pixels
Proteins
Raman spectroscopy
Severe acute respiratory syndrome coronavirus 2
Silver
Spectroscopy
Spectrum Analysis, Raman - methods
Spike Glycoprotein, Coronavirus
Spike protein
Viral diseases
Viruses
lateral flow test
SARS-CoV-2 detection
digital analysis
indoor dust
surface-enhanced Raman spectroscopy
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Summary: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.
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ISSN:0013-936X
1520-5851
DOI:10.1021/acs.est.3c10311