ArticleChemical engineering journal (Lausanne, Switzerland : 1996)2022
Rapid detection of viruses: Based on silver nanoparticles modified with bromine ions and acetonitrile.
Article in Chemical engineering journal (Lausanne, Switzerland : 1996), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 66 citations in OpenAlex.
- Background-Free, Label-Free, and Reproducible SERS via Plasma-Halide-Engineered Gold Nanoparticles.ACS measurement science au · 2026Article
- Surface-Enhanced Raman Spectroscopy for Viral Diagnostics: Principles, Strategies, Clinical Challenges, and Future Directions.Chemical reviews · 2026Review
- Emerging frontiers in SERS-integrated optical waveguides: advancing portable and ultra-sensitive detection for trace liquid analysis.Light, science & applications · 2025Review
- Multiplex Detection of Biomarkers Empowered by Nanomaterials.Precision chemistry · 2025Review
- Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review.Environmental science & technology · 2024Review
- Influenza viruses and SARS-CoV-2 diagnosis via sensitive testing methods in clinical application.Heliyon · 2024Review
- A breakthrough in phytochemical profiling: ultra-sensitive surface-enhanced Raman spectroscopy platform for detecting bioactive components in medicinal and edible plants.Mikrochimica acta · 2024Article
- Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research.Molecular and cellular biochemistry · 2024Article
- Silver Nanoparticle Sensor Array-Based Meat Freshness Inspection System.Foods (Basel, Switzerland) · 2023Article
- Metallic nanoplatforms for COVID-19 diagnostics: versatile applications in the pandemic and post-pandemic era.Journal of nanobiotechnology · 2023Review
- Solid-Phase Optical Sensing Techniques for Sensitive Virus Detection.Sensors (Basel, Switzerland) · 2023Review
- Label-Free Saliva Test for Rapid Detection of Coronavirus Using Nanosensor-Enabled SERS.Bioengineering (Basel, Switzerland) · 2023Article
- SERS-Based Biosensors Combined with Machine Learning for Medical Application.ChemistryOpen · 2023Review
- Recent advances of nanotechnology in COVID 19: A critical review and future perspective.OpenNano · 2023Review
- Detection of A and B Influenza Viruses by Surface-Enhanced Raman Scattering Spectroscopy and Machine Learning.Biosensors · 2022Article
- Lithographic SERS Aptasensor for Ultrasensitive Detection of SARS-CoV-2 in Biological Fluids.Nanomaterials (Basel, Switzerland) · 2022Article
- Review
- High-sensitivity and point-of-care detection of SARS-CoV-2 from nasal and throat swabs by magnetic SERS biosensor.Sensors and actuators. B, Chemical · 2022Article
- Miniaturized Raman Instruments for SERS-Based Point-of-Care Testing on Respiratory Viruses.Biosensors · 2022Review
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nearly 200 million people have been diagnosed with COVID-19 since the outbreak in 2019, and this disease has claimed more than 5 million lives worldwide. Currently, researchers are focusing on vaccine development and the search for an effective strategy to control the infection source. This work designed a detection platform based on Surface-Enhanced Raman Spectroscopy (SERS) by introducing acetonitrile and calcium ions into the silver nanoparticle reinforced substrate system to realize the rapid detection of novel coronavirus. Acetonitrile may amplify the calcium-induced hot spots of silver nanoparticles and significantly enhanced the stability of silver nanoparticles. It also elicited highly sensitive SERS signals of the virus. This approach allowed us to capture the characteristic SERS signals of SARS-CoV-2, Human Adenovirus 3, and H1N1 influenza virus molecules at a concentration of 100 copies/test (PFU/test) with upstanding reproduction and signal-to-noise ratio. Machine learning recognition technology was employed to qualitatively distinguish the three virus molecules with 1000 groups of spectra of each virus. Acetonitrile is a potent internal marker in regulating the signal intensity of virus molecules in saliva and serum. Thus, we used the SERS peak intensity to quantify the virus content in saliva and serum. The results demonstrated a satisfactory linear relationship between peak intensity and protein concentration. Collectively, this rapid detection method has a broad application prospect in clinical diagnosis of viruses, management of emergent viral infectious diseases, and exploration of the interaction between viruses and host cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.