ArticleSensors and actuators. B, Chemical2020
Rapid detection of anti-H5 avian influenza virus antibody by fluorescence polarization immunoassay using a portable fluorescence polarization analyzer.
Article in Sensors and actuators. B, Chemical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Disease Biomarker Detection Using Fluorescence Polarization Assays: Principles and Clinical Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Noncompetitive Fluorescence Polarization Aptamer Assay for Detecting SARS-CoV‑2 Variants.ACS omega · 2025Article
- Role and Contribution of Serological Surveillance in Animals and Exposed Humans to the Study of Zoonotic Influenza Disease Epidemiology: A Scoping Review.Pathogens (Basel, Switzerland) · 2025Article
- Review of the detection of pathogenic Escherichia coli based-microchip technology.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- Fluorescence Polarization Assay for Infection Diagnostics: A Review.Molecules (Basel, Switzerland) · 2024Review
- Facile and rapid detection of SARS-CoV-2 antibody based on a noncompetitive fluorescence polarization immunoassay in human serum samples.Biosensors & bioelectronics · 2021Article
- Non-competitive fluorescence polarization immunoassay for detection of H5 avian influenza virus using a portable analyzer.Analytical and bioanalytical chemistry · 2021Article
- Current methods and prospects of coronavirus detection.Talanta · 2021Review
- A New Optical Fiber Probe-Based Quantum Dots Immunofluorescence Biosensors in the Detection ofFrontiers in cellular and infection microbiology · 2021Article
- Fluorescence Polarization-Based Bioassays: New Horizons.Sensors (Basel, Switzerland) · 2020Review
- How chemical engineers can contribute to fight the COVID-19.Journal of the Taiwan Institute of Chemical Engineers · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A rapid, facile and selective detection of anti-H5 subtype avian influenza virus (AIV) antibody in serum by fluorescence polarization immunoassay (FPIA) was achieved. A fragment of recombinant H5 subtype AIV hemagglutinin was produced and labeled with fluorescein to use it as a labeled antigen in FPIA. This labeled antigen was mixed with anti-AIV sera (H1-H16 subtypes) and FP of the mixture was measured using a portable FP analyzer on a microdevice. It was found that FP increased in proportion to the concentration of anti-H5 AIV antibody (serum) and was significantly higher than FP obtained with the other sera. The selective detection of anti-H5 subtype AIV antibody was confirmed. The required volume of original sample was 2 μL and analysis time was within 20 min. This detection system realizes an efficient on-site diagnosis and surveillance of AIV.
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.