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Quantitative interpretation of gold nanoparticle-based bioassays designed for detection of immunocomplex formation

Year: 2007

Journal: Biointerphases 2007, 2, 6-15., 20100827

Authors: Zhou Y., Xu H., Dahlin A.B., Vallkil J., Borrebaeck C.A.K, Wingren C., Liedberg B., Hook F.

Last authors: Fredrik Hook

Organizations: Lund Univ, Div Solid State Phys, SE-22100 Lund, Sweden. Linkoping Univ, Dept Phys Chem & Biol, Div Mol Phys, SE-58183 Linkoping, Sweden. Chinese Acad Sci, Inst Phys, Beijing 100080, Peoples R China. Lund Univ, Dept Immunotechnol, SE-22007 Lund, Sweden.

Country: Sweden

The authors present in this paper how the extended Mie theory can be used to translate not only end-point data but also temporal variations of extinction peak-position changes, Delta lambda(peak)(t), into absolute mass uptake, Gamma(t), upon biomacromolecule binding to localized surface plasmon resonance (SPR) active nanoparticles (NPs). The theoretical analysis is applied on a novel sensor template composed of a three-layer surface architecture based on (i) a self-assembled monolayer of HS(CH2)(15)COOH, (ii) a 1:1 mixture of biotinylated and pure poly(L-lysine)-graft-poly(ethylene glycol) (PLL-g-PEG), and (iii) NeutrAvidin. Assisted by independent estimations of the thickness of the three-layer architecture using quartz crystal microbalance with dissipation (QCM-D) monitoring, excellent agreement with parallel mass-uptake estimations using planar SPR is obtained. Furthermore, unspecific binding of serum to PLL-g-PEG was shown to be below the detection limit, making the surface architecture ideally suited for label-free detection of immunoreactions. To ensure that the immunocomplex formation occurred within the limited sensing depth (similar to 10 nm) of the NPs, a compact model system composed of a biotinylated human recombinant single-chain antibody fragment (empty set similar to 2 nm) directed against cholera toxin was selected. By tracking changes in the centroid (center of mass) of the extinction peak, rather than the actual peak position, signal-to-noise levels and long-term stability upon cholera toxin detection are demonstrated to be competitive with results obtained using conventional SPR and state-of-the-art QCM-D data.