Novel monoclonal antibody-sandwich immunochromatographic assay based on Fe3O4/Au nanoparticles for rapid detection of fish allergen parvalbumin
[Display omitted] •Novel sandwich ICA based on Fe3O4/AuNPs was established for the rapid detection of PV.•Two monoclonal antibodies against PVs were prepared for sandwich assay development.•The developed assay exhibited excellent performance in sensitivity and accuracy.•The LOD and LOQ of the ICA st...
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Published in | Food research international Vol. 142; p. 110102 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.04.2021
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Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•Novel sandwich ICA based on Fe3O4/AuNPs was established for the rapid detection of PV.•Two monoclonal antibodies against PVs were prepared for sandwich assay development.•The developed assay exhibited excellent performance in sensitivity and accuracy.•The LOD and LOQ of the ICA strip were 2 ng/mL and 0.691 mg/mL, respectively.
In this study, a rapid sandwich immunochromatographic assay (ICA) was developed to detect parvalbumin (PV). Firstly, two optimum primary monoclonal antibody (mAb) against PV had been screened out: mAb1 was used as the capture antibody, and mAb2 conjugated to Fe3O4/Au nanoparticles (Fe3O4/AuNPs) that served as a detection reagent. Using this pair of mAbs, a sandwich ICA strip based on Fe3O4/AuNPs was developed. The results showed that the color intensity of test line positively correlated with the PV concentration in the standard or spiked sample. The limit of detection for qualitative (LOD) and quantitative detection (LOQ) were 2 ng/mL and 0.691 ng/mL, respectively. Besides, the detection time of this ICA strip was within 15 min. The recovery rates ranged from 104.0% to 117.4%, within an acceptable level (80–120%). Moreover, the developed assay also showed high cross reaction in different fish species. These results demonstrated that the established test strip has the potential to be used as a rapid screening tool for large scale determination of PV in foodstuffs. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0963-9969 1873-7145 |
DOI: | 10.1016/j.foodres.2020.110102 |