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Gold nanocage-based lateral flow immunoassay for immunoglobulin G.


ABSTRACT: The authors describe a gold nanocage-based lateral flow strip biosensor (LFSB) for low-cost and sensitive detection of IgG. This protein was used as a model analyte to demonstrate the proof-of-concept. The method combines the unique optical properties of gold nanocages (GNCs) with highly efficient chromatographic separation. A sandwich-type of immunoreactions occurs on the GNC-based LFSB which has the attractive features of avoiding multiple incubation, separation, and washing steps. The captured GNCs on the purple test zone and control zone of the biosensor are producing characteristic purple bands, and this enables IgG even to be visually detected. Quantitatation was accomplished by reading the intensities of the bands with a portable strip reader. The LFSB fabrication and assay parameters were optimized. The biosensor displays a linear response in the 0.5 to 50 ng·mL-1 IgG concentration range, and it has a 15 min assay time. The detection limit is 0.1 ng·mL-1 of IgG, which is 2.5 times lower than that when using a gold nanoparticle-based LFSB. In our perception, this assay has a wide potential for the detection of other proteins and species for which respective antibodies are available.

SUBMITTER: Yang Y 

PROVIDER: S-EPMC5703415 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Gold nanocage-based lateral flow immunoassay for immunoglobulin G.

Yang Yunhui Y   Ozsoz Mehmet M   Liu Guodong G  

Mikrochimica acta 20170331 7


The authors describe a gold nanocage-based lateral flow strip biosensor (LFSB) for low-cost and sensitive detection of IgG. This protein was used as a model analyte to demonstrate the proof-of-concept. The method combines the unique optical properties of gold nanocages (GNCs) with highly efficient chromatographic separation. A sandwich-type of immunoreactions occurs on the GNC-based LFSB which has the attractive features of avoiding multiple incubation, separation, and washing steps. The capture  ...[more]

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