INVESTIGADORES
POLICASTRO Lucia Laura
congresos y reuniones científicas
Título:
PLAMIC, a versatile Lab-on-a-chip platform to encapsulate hydrophilic or hydrophobic drugs in nanovehicles
Autor/es:
SANMARCO E; LLOYD R; MARTINEZ ESPINOSA D; GADAN M; GIANNONI F; BENAVIDES L; CHIAPPETA D; CONDE A; PORTU A; CABALEIRO J; POLICASTRO L
Lugar:
Cordoba, capital
Reunión:
Congreso; II Brazil-Argentine Microfluidics Congress, V Congreso de Microfluídica Argentina; 2019
Resumen:
Conventional bulk methods for nanomedicines production generally have heterogeneous and poorly controlled physicochemical conditions during synthesis, resulting in nanoparticles with inadequate size and inhomogeneous size distributions. Usually time-consuming and inefficient post-processing steps are necessary to yield appropriate size and homogeneity. Microfluidic systems for nanomedicine systems usually operate in laminar flow regimes which allows for a precise control of physicochemical conditions in reaction zones and typically smaller mixing times. Consequently, homogeneous reproducibility nanomedicines with a smaller size and better polydispersity can be obtained.PLAMIC is a Lab-on-a-chip developing Start-up platform for continue synthesis of nanomedicines based our previous report . In this work, we demonstrated that PLAMIC is a versatile device for encapsulation drugs with different chemical characteristic, in diverse kind of nanovehicles, such us liposomes and polymeric micelles. We use a zigzag micromixer performed in polymethylmetacrilate (PMMA) obtained by CNC micromilling or by 3D printing. We have encapsulated drugs in mentioned nanovehicles sweeping since highly hydrophobic drugs such as paclitaxel and lactosyl carboranes to hydrophilic drugs such as oxaliplatin. In addition, we have also addressed the encapsulation of more complex therapeutic biological molecules such as nucleic acids, in particular siRNA in lipid-polimeric nanoparticles.Parameters such us size distribution, drug encapsulation efficiency and processing time were compared to bulk traditional methods, showing of a significantly optimization by PLAMIC platform.