| Literature DB >> 29594441 |
Vasily G Panferov1, Irina V Safenkova1, Yury A Varitsev2, Anatoly V Zherdev1, Boris B Dzantiev3.
Abstract
Alkaline phosphatase (ALP) was used as an amplification tool in lateral flow immunoassay (LFIA). Potato virus Х (PVX) was selected as a target analyte because of its high economic importance. Two conjugates of gold nanoparticles were applied, one with mouse monoclonal antibody against PVX and one with ALP-labeled antibody against mouse IgG. They were immobilized to two fiberglass membranes on the test strip for use in LFIA. After exposure to the sample, a substrate for ALP (5-bromo-4-chloro-3-indolyl phosphate/nitro blue tetrazolium) was dropped on the test strip. The insoluble dark-violet diformazan produced by ALP precipitated on the membrane and significantly increased the color intensity of the control and test zones. The limit of detection (0.3 ng mL-1) was 27 times lower than that of conventional LFIA for both buffer and potato leaf extracts. The ALP-enhanced LFIA does not require additional preparation procedures or washing steps and may be used by nontrained persons in resource-limited conditions. The new method of enhancement is highly promising and may lead to application for routine LFIA in different areas. Graphical abstract Two gold nanoparticles (GNP) conjugates were used - the first with monoclonal antibodies (mAb) (GNP-mAb); the second - alkaline phosphatase-labeled antibody against mAb (GNP-anti-mAb-ALP). The immuno complexes are captured by the polyclonal antibodies (pAb) in the test zone. Addition of the substrate solution (BCIP/NBT) results in the accumulation of the insoluble colored product and in a significance increase in color intensity.Entities:
Keywords: Enzyme amplification; Gold nanoparticles conjugates; High sensitive lateral flow immunoassay; Lateral flow immunoassay enhancement; Non-laboratory diagnostics; Potato virus X; Signal enhancement
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Year: 2017 PMID: 29594441 DOI: 10.1007/s00604-017-2595-3
Source DB: PubMed Journal: Mikrochim Acta ISSN: 0026-3672 Impact factor: 5.833