AVVISO DI SEMINARIO
Nei giorni 20,21, 22 Giugno 2016
la Dott.ssa Simona Bacaita,
, Lecturer del Dept. Of Physics, della “Gheorghe Asachi” Technical University of Iasi, Romania
terrà un ciclo di seminari
The physics of drug release systems
secondo il seguente calendario:
|Martedì 20 Giugno
||Aula magna di Chimica, Palazzo delle Scienze, Cagliari
|Mercoledì 21 Giugno
|Giovedì 22 Giugno
I seminari sono aperti a tutti gli studenti e ricercatori interessati, e verrà richiesto il riconoscimento come corso a crediti liberi (1 CFU) per gli studenti del corso di laurea in CTF.
Per il riconoscimento del credito sarà necessario superare un test di valutazione finale.
Per gli studenti interessati a periodi di soggiorno erasmus presso il Dipartimento di Fisica della Technical University of Iasi, nell’ultima lezione verranno illustrate anche le attività di ricerca svolte presso tale dipartimento.
Ulteriori informazioni sul contenuto del corso sono riportate nel seguito.
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THE PHYSICS OF DRUG RELEASE SYSTEMS
Lecturer Bacaita Elena Simona
Department of Physics
“Gheorghe Asachi” Technical University of Iasi
Controlled release systems have been developed to enable superior control of drug exposure over time, to assist drug in crossing physiological barriers, to shield drug from premature elimination and to target drug to the desired site of action while minimizing drug exposure elsewhere in the body.
The mechanisms used to achieve these goals are diverse and complex, and depend on the particular application. In fact several mechanisms may operate simultaneously or at different stages of a delivery process. An understanding of these mechanisms is important when designing and manufacturing controlled release systems, and in identifying potential failure modes.
Mathematical modeling is the approach through which a quantitative analysis of the physical, chemical phenomena which are involved in the control of drug release can lead to understanding the drug release mechanisms.
In addition to this, considering the desired type of administration, drug dose to be incorporated and the targeted drug release profile, mathematical prediction can allow good estimations of the required composition, dimensions and preparation procedure. Thus, one of arguments for the use of mathematical modeling in drug delivery is to save time and money: the number of the required experimental studies to develop a new and/or optimize an existing drug product can significantly be reduced.
Up to date, numerous mathematical theories, empirical, semi-empirical and mechanistic theories, have been described in the literature. The first ones, i.e. empirical and semi-empirical models, are purely descriptive and not based on real physical, chemical phenomena, and, consequently can not offer significant insights into the drug release mechanisms. In contrast, mechanistic models are based on real phenomena, such as diffusion, dissolution, swelling, erosion, and allow determination of system-specific parameters that can offer deeper insight into the underlying drug release mechanisms.
Recently, new approaches have been developed in order to simplify the complexity of the classical models, induced by the high number of components and interactions within the system. The modern models are based on the concepts of nonlinearity and complexity.
The presentation aims to outline the main types of drug delivery systems (nanoparticles, hydrogels, theranostic platforms) and the theoretical models through which the drug release can be predicted.