ReviewTrends in analytical chemistry : TRAC2015
Aptasensors for viral diagnostics.
Review in Trends in analytical chemistry : TRAC, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
15 citing papers in PubMed.
- Biosensor Technologies for Avian Influenza Detection: A New Frontier in Rapid Diagnostics for HPAI.Biosensors · 2026Review
- Recent Developments in Electrochemical-Impedimetric Biosensors for Virus Detection.International journal of molecular sciences · 2022Review
- Electromagnetically-driven integrated microfluidic platform using reverse transcription loop-mediated isothermal amplification for detection of severe acute respiratory syndrome coronavirus 2.Analytica chimica acta · 2022Article
- Carbon dots for virus detection and therapy.Mikrochimica acta · 2021Review
- Aptamer Applications in Emerging Viral Diseases.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Electrochemical diagnostics of infectious viral diseases: Trends and challenges.Biosensors & bioelectronics · 2021Review
- SERS-Based Colloidal Aptasensors for Quantitative Determination of Influenza Virus.International journal of molecular sciences · 2021Article
- Developments in biosensors for CoV detection and future trends.Biosensors & bioelectronics · 2021Article
- Recent Development of Aptasensor for Influenza Virus Detection.Biochip journal · 2020Review
- Advances in Diagnostic Approaches for Viral Etiologies of Diarrhea: From the Lab to the Field.Frontiers in microbiology · 2019Review
- Recent Advances in AIV Biosensors Composed of Nanobio Hybrid Material.Micromachines · 2018Review
- Non-enzymolytic adenosine barcode-mediated dual signal amplification strategy for ultrasensitive protein detection using LC-MS/MS.Mikrochimica acta · 2018Article
- Aptamers for respiratory syncytial virus detection.Scientific reports · 2017Article
- Recent Advances in Biosensor Development for Foodborne Virus Detection.Nanotheranostics · 2017Review
- MIPs and Aptamers for Recognition of Proteins in Biomimetic Sensing.Biosensors · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel viral diagnostic tools need to be affordable, fast, accurate and easy to use with sensitivity and specificity equivalent or superior to current standards. At present, viral diagnostics are based on direct detection of viral components or indirect detection by measuring antibodies generated in response to viral infection. While sensitivity of detection and quantification are still important challenges, we expect major advances from new assay formats and synthetic binding molecules, such as aptamers. Compared to traditional antibody-based detection, aptamers could provide faster adaptation to continuously evolving virus strains and higher discriminating capacity between specific virus serotypes. Aptamers are very stable and easily modifiable, so are ideal molecules for detection and chemical sensing applications. Here, we review the use of aptasensors for detection of viral pathogens and consider the feasibility of aptasensors to become standard devices for point-of-care diagnostics of viruses.
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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.