ArticleScientific reports2016
A fast and low-cost genotyping method for hepatitis B virus based on pattern recognition in point-of-care settings.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- ELISA genotyping of hepatitis B virus in China with antibodies specific for genotypes B and C.Scientific reports · 2024Article
- Lateral Flow Assay for Hepatitis B Detection: A Review of Current and New Assays.Micromachines · 2023Review
- SEB genotyping: SmartAmp-Eprimer binary code genotyping for complex, highly variable targets applied to HBV.BMC infectious diseases · 2022Article
- Aspects of Point-of-Care Diagnostics for Personalized Health Wellness.International journal of nanomedicine · 2021Review
- Lateral Flow Genochromatographic Strip for Naked-Eye Detection ofJournal of biomedical physics & engineering · 2020Article
- From Point-of-Care Testing to eHealth Diagnostic Devices (eDiagnostics).ACS central science · 2018Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A fast and low-cost method for HBV genotyping especially for genotypes A, B, C and D was developed and tested. A classifier was used to detect and analyze a one-step immunoassay lateral flow strip functionalized with genotype-specific monoclonal antibodies (mAbs) on multiple capture lines in the form of pattern recognition for point-of-care (POC) diagnostics. The fluorescent signals from the capture lines and the background of the strip were collected via multiple optical channels in parallel. A digital HBV genotyping model, whose inputs are the fluorescent signals and outputs are a group of genotype-specific digital binary codes (0/1), was developed based on the HBV genotyping strategy. Meanwhile, a companion decoding table was established to cover all possible pairing cases between the states of a group of genotype-specific digital binary codes and the HBV genotyping results. A logical analyzing module was constructed to process the detected signals in parallel without program control, and its outputs were used to drive a set of LED indicators, which determine the HBV genotype. Comparing to the nucleic acid analysis to HBV viruses, much faster HBV genotyping with significantly lower cost can be obtained with the developed method.
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Registered trials
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