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Multi-parametric surface plasmon resonance

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This sandbox is in the article namespace. Either move this page into your userspace, or remove the {{User sandbox}} template. Surface Plasmon Resonance (SPR) is an established real-time label-free method for biomolecular interaction analysis. Multi-Parametric Surface Plasmon Resonance (MP-SPR) is based on the same surface plasmon foundations, but it uses a different optical setup, a goniometric SPR configuration. While MP-SPR provides same kinetic information as SPR (Equilibrium_constant, Dissociation_constant, Association constant), it provides also structural information (Refractive_index, layer thickness). Hence, MP-SPR measures both surface interactions and nanolayer properties.

History

The goniometric SPR method was researched alongside focused beam SPR and Otto configurations at VTT Technical Research Centre of Finland since 1980s by Dr. Janusz Sadowski. The goniometric SPR optics was commercialized by Biofons Oy for use in point-of-care applications. Since 2006, it was developed by BioNavis Ltd and commercialized in 2008. In 2011, the MP-SPR was introduced when additional laser wavelengths were added and first thin film analyses were performed.

Principle

An incident beam of p-polarized light strikes an electrically conducting gold layer at the interface of a glass sensor with high RI (Refractive Index) and an external medium/sample with low RI. At a given angle, the excitation of surface plasmons takes place resulting in a reduced intensity of the reflected light, which can be seen as a dip in the SPR curve. In MP-SPR, the whole angular range is scanned automatically with multiple wavelengths providing information on molecular interaction kinetics and also on structure of the formed layer.

The MP-SPR optical setup measures at multiple wavelengths simultaneously (similarly to spectroscopic SPR), but instead of measuring at a fixed angle, it rather scans across a wide range of θ angles (for instance 40 degrees). This results in measurements of full SPR curves at multiple wavelenghts providing additional information about structure and dynamic conformation of the film [1].

Measured values

The measured full SPR curves (x-axis: angle, y-axis: reflected light intensity) can be transcribed into sensograms (x-axis: time, y-axis: selected parameter such as peak minimum, light intensity, peak width).[2] The sensograms can be fitted using binding models to obtain kinetic parameters including on- and off-rates and affinity. The full SPR curves are used to fit Fresnel equations to obtain thickness and refractive index of the layers.

Molecular interactions Layer properties
Kinetics, PureKinetics (kon, koff) Refractive index (n)
Affinity (KD) Thickness (d)
Concentration (c) Extinction coefficient (k)
Adsorption/Absorption Density (ρ)
Desorption Surface coverage (Γ)
Adhesion Swelling (Δd)
Electrochemistry (E, I, omega) Optical dispersion (n(λ))

Applications

The method has been used in life sciences, material sciences and biosensor development. In life sciences, the main applications focus on pharmaceutical development including small molecule, antibody or nanoparticle interactions with target with a biomembrane or with a living cell monolayer[2]. As first in the world, MP-SPR is able to separate transcellular and paracellular drug uptake in real-time and label-free for targeted drug delivery. In biosensor development, MP-SPR is used for assay development for point-of-care applications[1]. Typical developed biosensors include electrochemical printed biosensors, ELISA and SERS. In material sciences, MP-SPR is used for optimization of thin solid films from Ångströms to 100 nanometers (graphene, metals, oxides), soft materials up to microns (nanocellulose, polyelectrolyte) including nanoparticles. Applications including thin film solar cells, barrier coatings including anti-reflective coatings, antimicrobial surfaces, self-cleaning glass, Plasmonic metamaterials, Electro-switching surfaces,Layer by Layer assembly, Graphene...

  1. ^ a b Cite error: The named reference nanobiosensing was invoked but never defined (see the help page).
  2. ^ a b Cite error: The named reference cell was invoked but never defined (see the help page).

[1] [2] [3] [4] [5] [6] [7]

  1. ^ Wang, Huangxian Ju, Xueji Zhang, Joseph (2011). NanoBiosensing : principles, development, and application. New York: Springer. p. chapter 4. ISBN 978-1-4419-9621-3.{{cite book}}: CS1 maint: multiple names: authors list (link)
  2. ^ Jussila, Henri; Yang, He; Granqvist, Niko; Sun, Zhipei (5 February 2016). "Surface plasmon resonance for characterization of large-area atomic-layer graphene film". Optica. 3 (2): 151. doi:10.1364/OPTICA.3.000151.
  3. ^ Korhonen, Kristiina; Granqvist, Niko; Ketolainen, Jarkko; Laitinen, Riikka (October 2015). "Monitoring of drug release kinetics from thin polymer films by multi-parametric surface plasmon resonance". International Journal of Pharmaceutics. 494 (1): 531–536. doi:10.1016/j.ijpharm.2015.08.071.
  4. ^ Granqvist, Niko; Yliperttula, Marjo; Välimäki, Salla; Pulkkinen, Petri; Tenhu, Heikki; Viitala, Tapani (18 March 2014). "Control of the Morphology of Lipid Layers by Substrate Surface Chemistry". Langmuir. 30 (10): 2799–2809. doi:10.1021/la4046622.
  5. ^ Viitala, Tapani; Granqvist, Niko; Hallila, Susanna; Raviña, Manuela; Yliperttula, Marjo; van Raaij, Mark J. (27 August 2013). "Elucidating the Signal Responses of Multi-Parametric Surface Plasmon Resonance Living Cell Sensing: A Comparison between Optical Modeling and Drug–MDCKII Cell Interaction Measurements". PLoS ONE. 8 (8): e72192. doi:10.1371/journal.pone.0072192.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  6. ^ Liang, Huamin; Miranto, Heini; Granqvist, Niko; Sadowski, Janusz W.; Viitala, Tapani; Wang, Bochu; Yliperttula, Marjo (August 2010). "Surface plasmon resonance instrument as a refractometer for liquids and ultrathin films". Sensors and Actuators B: Chemical. 149 (1): 212–220. doi:10.1016/j.snb.2010.05.048.
  7. ^ Granqvist, Niko; Liang, Huamin; Laurila, Terhi; Sadowski, Janusz; Yliperttula, Marjo; Viitala, Tapani (9 July 2013). "Characterizing Ultrathin and Thick Organic Layers by Surface Plasmon Resonance Three-Wavelength and Waveguide Mode Analysis". Langmuir. 29 (27): 8561–8571. doi:10.1021/la401084w.
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