
doi: 10.1002/jmv.29481
pmid: 38425184
AbstractHepatitis C remains a global health problem, especially in poverty‐stricken areas. A rapid and sensitive point‐of‐care (POC) diagnostic tool is critical for the early detection and timely treatment of hepatitis C virus (HCV) infection. Here, for the first time, we reported a novel molecular diagnostic assay, termed reverse transcription multiple cross displacement amplification integrated with a gold‐nanoparticle‐based lateral flow biosensor (RT‐MCDA‐AuNPs‐LFB), which was developed for rapid, sensitive, specific, and visual identification of HCV. HCV‐RT‐MCDA induced rapid isothermal amplification through a specific primer set targeting the 5′untranslated region gene from the major HCV genotypes 1b, 2a, 3b, 6a, and 3a that are prevalent in China. The optimal reaction temperature and time for RT‐MCDA‐AuNPs‐LFB were 68°C and 25 min, respectively. The limit of detection of the assay was 10 copies per test, and the specificity was 100% for the experimental strains. The whole detection procedure, including crude nucleic acid isolation (~5 min), RT‐MCDA (68°C, 25 min), and visual AuNPs‐LFB result confirmation (less than 2 min), was performed within 35 min. The preliminary results indicated that the HCV‐RT‐MCDA‐AuNPs‐LFB assay could be a valuable tool for sensitive, specific, visual, cost‐saving, and rapid detection of HCV and has potential as a POC diagnostic platform for field screening and early clinical detection of HCV infection.
Humans, Metal Nanoparticles, Hepacivirus, Gold, Biosensing Techniques, Sensitivity and Specificity, Nucleic Acid Amplification Techniques, Hepatitis C
Humans, Metal Nanoparticles, Hepacivirus, Gold, Biosensing Techniques, Sensitivity and Specificity, Nucleic Acid Amplification Techniques, Hepatitis C
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
