ArticleInternational journal of molecular sciences2021
SERS-Based Colloidal Aptasensors for Quantitative Determination of Influenza Virus.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- Aptamer-Based Approaches for Influenza Virus Detection: A Systematic Review.Health science reports · 2026Review
- Overcoming Challenges in Avian Influenza Diagnosis: The Role of Surface-Enhanced Raman Spectroscopy in Poultry Health Monitoring.Veterinary sciences · 2025Review
- Advances in aptamer-based biosensors for monitoring foodborne pathogens.Journal of food science and technology · 2024Review
- Aptamers: precision tools for diagnosing and treating infectious diseases.Frontiers in cellular and infection microbiology · 2024Review
- Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses.Discover nano · 2023Review
- Recent development of surface-enhanced Raman scattering for biosensing.Journal of nanobiotechnology · 2023Review
- SERS-based immunomagnetic bead for rapid detection of H5N1 influenza virus.Influenza and other respiratory viruses · 2023Article
- Improvement of Seed-Mediated Growth of Gold Nanoparticle Labels for DNA Membrane-Based Assays.Biosensors · 2022Article
- Aptamer-based biosensors for virus protein detection.Trends in analytical chemistry : TRAC · 2022Review
- Ultrasensitive Aptasensors for the Detection of Viruses Based on Opto-Electrochemical Readout Systems.Biosensors · 2022Review
- Aptamer-coated track-etched membranes with a nanostructured silver layer for single virus detection in biological fluids.Frontiers in bioengineering and biotechnology · 2022Article
- A Combination of Membrane Filtration and Raman-Active DNA Ligand Greatly Enhances Sensitivity of SERS-Based Aptasensors for Influenza A Virus.Frontiers in chemistry · 2022Article
- Aptamer Applications in Emerging Viral Diseases.Pharmaceuticals (Basel, Switzerland) · 2021Review
- SERS-Based Aptasensor for Rapid Quantitative Detection of SARS-CoV-2.Nanomaterials (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Development of sensitive techniques for rapid detection of viruses is on a high demand. Surface-enhanced Raman spectroscopy (SERS) is an appropriate tool for new techniques due to its high sensitivity. DNA aptamers are short structured oligonucleotides that can provide specificity for SERS biosensors. Existing SERS-based aptasensors for rapid virus detection had several disadvantages. Some of them lacked possibility of quantitative determination, while others had sophisticated and expensive implementation. In this paper, we provide a new approach that combines rapid specific detection and the possibility of quantitative determination of viruses using the example of influenza A virus.
Indexed as
Identifiers
What OpenQuestion holds
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.