Small molecule fluorophores
The physicochemical properties of each chemical, such as its chemical structure, charge distribution, distribution coefficient (logD at pH 7.4), topological polar surface area (TPSA), rotatable bonds, and H-bond acceptors/donors, were meticulously calculated using MarvinSketch (developed by ChemAxon in Budapest, Hungary). Subsequently, the images of these regions and their biodistribution were seamlessly integrated into our database using InstantJChem, another powerful tool from ChemAxon. To further analyze each biodistribution image, we employed ImageJ and subsequently uploaded the results to the InstantJChem database.
Renal-Clearable NIR Platforms
Developed through collaborative molecular synthesis and validated in vivo for optimized renal elimination and minimal off-target accumulation.
Immune-Cell-Mediated Targeting Probes
Collaboratively engineered fluorophores enabling tumor-associated immune cell uptake and NIR-II imaging.
Cartilage-Targeting Fluorophores
Structure-guided probe systems for high-specificity cartilage imaging in the NIR-II window.
The physicochemical properties of each nanoparticle formulation—including hydrodynamic diameter, polydispersity index (PDI), surface charge (zeta potential), morphology, composition, and colloidal stability—were systematically characterized using dynamic light scattering (DLS), electron microscopy, and spectroscopic analyses. Surface functionalization density, ligand presentation, and drug loading efficiency were further quantified to define structure–function relationships.
Beyond standard characterization, NOVA Lab emphasizes quantitative nano–bio transport modeling to understand in vivo behavior. Biodistribution and pharmacokinetic (PK) profiles were evaluated using fluorescence imaging and organ-level quantification, followed by extraction of key PK parameters including area under the curve (AUC), circulation half-life (t₁/₂), systemic clearance rate, and organ-specific accumulation coefficients. These parameters were integrated into transport models to correlate nanoparticle physicochemical properties with biological fate, tissue penetration, and elimination pathways.
Imaging data were processed using ImageJ for region-of-interest (ROI) quantification and statistically analyzed before being incorporated into our internal database. This structured framework enables cross-platform comparison, predictive optimization, and rational engineering of nanoparticle systems for improved targeting efficiency and safety.
Iron Nanochelators
Ultrasmall nanostructures designed and biologically validated for efficient systemic iron capture and urinary clearance.
Nanocarriers (Harvard-dots)
Ultrasmall nanostructures designed and biologically validated for efficient systemic iron capture and urinary clearance.
Plasmonic Nanoplatforms
Nanoengineered optical systems for biomarker detection and translational photonic diagnostics.