Nanoparticles are particles between one and 100 nanometers in size. In nanotechnology, a particle is defined as a small object that behaves as a whole unit with respect to its transport and properties. Nanoparticle research is currently an area of intense scientific interest due to a wide variety of potential applications in biomedical, optical and electronic fields. Especially as nanodrug carriers, nanoparticles are playing an important role in drug delivery where they serve as nanodrug carriers, assisting the internalization of biopharmaceuticals.
Nanoparticles for drug delivery and for contrast agents are typically made of polymers, silica, metals, liposomes, viruses, DNA polyplexes, exosomes and other micro-vesicles. These novel formulations require deep understanding of nanoparticle-drug, nanoparticle-target, nanoparticle-live cell interaction as well as release of drug from material.
Reasons to choose MP-SPR for nanoparticle studies:
- Extremely sensitive instrument for real-time kinetic measurements of nanoparticles
- Size does not matter thanks to measurements at wide angular range and multi wavelengths
- Aggregating nanoparticles? Just try MP-SPR! – Flexibility in fluidics and flow cells prevent clogging due to aggregation
- From targeting to internalization studies, MP-SPR got you!
- Thickness and refractive index determined using LayerSolver™
- From dry to wet state with the same configuration – MP-SPR works in both states due to its goniometric configuration
- Cross-validation with microscopy and modelling is possible thanks to electrochemistry and fluorescence flow cells
- Easy handling of sensor slides for ex situ modification and measurements
- Measurements do not require vacuum
- Measurements can be performed in organic solvents
Use MP-SPR to:
- Find the optimal nanoparticle for drug delivery
- Measure interactions between molecules and nanoparticles
- Determine adsorption kinetics and routes of nanoparticles to surfaces
- Quantify release kinetics of materials from nanoparticles
- Assess effectivity of plasmonic materials
- Find the optimal surface modification of nanoparticles
- Evaluate the reproducibility of a coating