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Sebastián Scioli Montoto

Researcher at National University of La Plata

Publications -  7
Citations -  359

Sebastián Scioli Montoto is an academic researcher from National University of La Plata. The author has contributed to research in topics: Solid lipid nanoparticle & Surface plasmon resonance. The author has an hindex of 5, co-authored 6 publications receiving 122 citations.

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Journal ArticleDOI

Solid Lipid Nanoparticles for Drug Delivery: Pharmacological and Biopharmaceutical Aspects

TL;DR: The currently active clinical trials on lipid nanoparticles were reviewed, with a brief discussion on what achievements or milestones are still to be reached, as a way of understanding the reasons for the scarce number of solid lipid nanoparticle undergoing clinical trials.
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Carbamazepine-loaded solid lipid nanoparticles and nanostructured lipid carriers: Physicochemical characterization and in vitro/in vivo evaluation.

TL;DR: The developed CBZ-loaded lipid nanocarriers displayed optimal characteristics of size, shape and drug release and possibly represent a promising tool to improve the treatment of refractory epilepsy linked to efflux transporters upregulation.
Journal ArticleDOI

Hybrid Ofloxacin/eugenol co-loaded solid lipid nanoparticles with enhanced and targetable antimicrobial properties

TL;DR: It was proved that the administration of hybrid SLN to mice by dry powder inhalation reached therapeutic Ofx levels in lungs and the SLN exhibited an enhanced bactericidal activity against Pseudomonas aeruginosa and Staphylococcus aureus.
Book ChapterDOI

Routes of Drug Administration

TL;DR: The design of the dosage forms requires a deep knowledge of the physiological and pathological factors that affect drug absorption for guarantying the therapeutic efficacy and to avoid possible drug-drug and drug-nutrient interactions.
Journal ArticleDOI

Current State and Future Perspectives in QSAR Models to Predict Blood- Brain Barrier Penetration in Central Nervous System Drug R&D

TL;DR: This review examines and discusses QSAR approaches and current availability of experimental data for the construction of BBB permeability predictive models, focusing on the modeling of the biorelevant parameter unbound partitioning coefficient (Kp,uu).