A model-based approach to the assessment of physicochemical properties of drug delivery materials

Computers and Chemical Engineering

Volumn 27, Issue 6, 2003, Pages 803-812

  Ironi, Liliana ^a   Tentoni, Stefania ^a  

^a Instituto di Matematica Applicata e Tecnologie Informatiche   (Italy)

Author keywords

Automated modeling; Drug delivery systems; Mucoadhesion; Qualitative and model based reasoning; System identification; Viscoelastic materials

Indexed keywords

COMPUTATIONAL METHODS; CREEP TESTING; POLYMERS; VISCOELASTICITY;

DRUG DELIVERY MATERIALS;

DRUG PRODUCTS;

CARBOXYMETHYLCELLULOSE; MUCIN; POLYMER;

POLYMER;

ACCURACY; ADHESION; ARTICLE; AUTOANALYSIS; COMPUTER PROGRAM; CONCENTRATION RESPONSE; DRUG DELIVERY SYSTEM; FLOW KINETICS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PHYSICAL CHEMISTRY; VISCOELASTICITY;

EID: 0037949168     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(02)00266-1     Document Type: Article

References (21)

1. Addanki, S., Cremonini, R., & Penberthy, J. (1991). Graphs of models. Artificial Intelligence 51, 145-177.
2. Arridge, R. (1975). Mechanics of polymers. Oxford: Clarendon Press.
3. Bradley, E., & Stolle, R. (1996). Automatic construction of accurate models of physical systems. Annals of Mathematics and Artificial Intelligence 17, 1-28.
4. Bradley, E., Easley, M., & Stolle, R. (2001). Reasoning about nonlinear system identification. Artificial Intelligence 133, 139-188.
5. Capelo, A., Ironi, L., & Tentoni, S. (1993). A model-based system for the classification and analysis of materials. Intelligent Systems Engineering 2 (3), 145-158.
6. Capelo, A. C., Ironi, L., & Tentoni, S. (1995). Automated model selection of an accurate model of a visco-elastic material. Proceedings of the ninth international workshop on qualitative reasoning about physical systems, Amsterdam, pp. 32-43.
7. Capelo, A. C., Ironi, L., & Tentoni, S. (1996). The need for qualitative reasoning in automated modeling: a case study. Proceedings of the tenth international workshop on qualitative reasoning, Stanford Sierra Camp, pp. 32-39.
8. Capelo, A., Ironi, L., & Tentoni, S. (1998). Automated mathematical modeling from experimental data: an application to material science. IEEE Transactions on Systems, Man, and Cybernetics 28 (3), 356-370.
9. Falkenhaier, B., & Forbus, K. (1991). Compositional modeling: finding the right model for the job. Artificial Intelligence 51, 95-143.
10. Ferry, J. (1970). Viscoelastic properties of polymers. New York: Wiley.
11. Hamscher, W., Console, L. & De Kleer, J. (Eds.), Readings in model-based diagnosis (1992). San Mateo: Morgan Kauffmann.
12. Hassan, E., & Gallo, J. (1990). A simple rheological method for in vitro assessment of mucin-polymer bioadhesive bond strength. Pharmaceutical Research 7 (5), 491-495.
13. Ironi, L., & Stefanelli, M. (1994). A framework for building and simulating qualitative models of compartmental systems. Computational Methods and Programs in Biomedicine 42, 233-254.
14. Iwasaki, Y., & Levy, A. (1994). Automated model selection for simulation. In Proceedings of the AAAI-94. Los Altos: Morgan Kaufmann.
15. Nayak, P. (1994). Causal approximations. Artificial Intelligence 70, 277-334.
16. Peppas, N., & Buri, P. (1985). Surface, interfacial and molecular aspects of polymer bioadhesion on soft tissues. Journal of Controlled Release 2, 257-275.
17. Reiner, M. (1958). Rheology. In S. Flügge (Ed.), Encyclopedia of Physics, vol. 6 (pp. 434-550). Berlin: Springer.
18. Rickel, J., & Porter, B. (1994). Automated modeling for answering prediction questions: selecting the time scale and system boundary. In Proceedings of the AAAI-94. Los Altos: Morgan Kaufmann.
19. Rossi, S., Bonferoni, C., Caramella, C., Ironi, L., & Tentoni, S. (1999). Model-based interpretation of creep profiles for the assessment of polymer-mucin interaction. Pharmaceutical Research 16 (9), 1456-1463.
20. Söderström, T., & Stoica, P. (1989). System identification. Cambridge: Prentice-Hall.
21. Weld, D. (1992). Reasoning about model accuracy. Artificial Intelligence 56, 255-300.