1. CdS quantum dots-based immunoassay combined with particle imprinted polymer technology and laser ablation ICP-MS as a versatile tool for protein detection.
- Author
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Vaneckova T, Bezdekova J, Tvrdonova M, Vlcnovska M, Novotna V, Neuman J, Stossova A, Kanicky V, Adam V, Vaculovicova M, and Vaculovic T
- Subjects
- Animals, Electrophoresis, Capillary, Fluorescence, Immunoglobulin G analysis, Mice, Signal Processing, Computer-Assisted, Cadmium Compounds chemistry, Immunoassay methods, Laser Therapy, Mass Spectrometry, Molecular Imprinting, Polymers chemistry, Proteins analysis, Quantum Dots chemistry, Sulfides chemistry
- Abstract
For the first time, the combination of molecularly imprinted polymer (MIP) technology with laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is presented with focus on an optimization of the LA-ICP-MS parameters such as laser beam diameter, laser beam fluence, and scan speed using CdS quantum dots (QDs) as a template and dopamine as a functional monomer. A non-covalent imprinting approach was employed in this study due to the simplicity of preparation. Simple oxidative polymerization of the dopamine that creates the self-assembly monolayer seems to be an ideal choice. The QDs prepared by UV light irradiation synthesis were stabilized by using mercaptosuccinic acid. Formation of a complex of QD-antibody and QD-antibody-antigen was verified by using capillary electrophoresis with laser-induced fluorescence detection. QDs and antibody were connected together via an affinity peptide linker. LA-ICP-MS was employed as a proof-of-concept for detection method of two types of immunoassay: 1) antigen extracted from the sample by MIP and subsequently overlaid/immunoreacted by QD-labelled antibodies, 2) complex of antigen, antibody, and QD formed in the sample and subsequently extracted by MIP. The first approach provided higher sensitivity (MIP/NIP), however, the second demonstrated higher selectivity. A mixture of proteins with size in range 10-250 kDa was used as a model sample to demonstrate the capability of both approaches for detection of IgG in a complex sample.
- Published
- 2019
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