Analytic, neural network, and hybrid modeling of supercritical extraction of α-pinene

Journal of Supercritical Fluids

Volumn 47, Issue 2, 2008, Pages 168-173

  Kamali, M J ^a   Mousavi, M ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Pinene; Equation of state; Hybrid modeling; Neural networks; Supercritical extraction

Indexed keywords

CARBON DIOXIDE; EXTRACTIVE METALLURGY; NETWORK PROTOCOLS; NEURAL NETWORKS; SENSOR NETWORKS;

EQUATION OF STATE; HYBRID MODELING; HYBRID MODELLING; PAPER ADDRESSES; SUPERCRITICAL CARBON DIOXIDE; SUPERCRITICAL EXTRACTION; THERMODYNAMIC MODELING;

SUPERCRITICAL FLUID EXTRACTION;

EID: 53649111421     PISSN: 08968446     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.supflu.2008.08.005     Document Type: Article

References (17)

1. Sanders N. Food legislation and the scope for increased use of near-critical fluid extraction operations in the food, favouring and pharmaceutical industries. In: King M.B., and Bott T.R. (Eds). Extraction of Natural Products Using Near-Critical Solvents (1993), Chapman & Hall, UK 34
2. Martinez J.L. Supercritical Fluid Extraction of Nutraceuticals and Bioactive Compounds (2007), Taylor & Francis
3. Feyo de Azevedo S., Dahm B., and Oliveira F.R. Hybrid modeling of biochemical processes: a comparison with the conventional approach. Comput. Chem. Eng. 2 (1997) s751-s756
4. Eikens B., Karim M.N., and Simon L. Combining neural networks and first principle models for bioprocess modeling. In: Mujtaba I.M., and Azlan A. (Eds). The Application of Neural Networks and Other Learning Technologies in Process Engineering (2001), Imperial College Press 121
5. McHugh M.A., and Krukonis V.J. Supercritical Fluid Extraction: Principles and Practice (1990), Butterworth-Heinemann, Boston
6. Johnston K.P., Peck D.G., and Kim S. Modeling supercritical mixtures-how predictive is it?. Ind. Eng. Chem. Res. 28 (1989) 1115-1125
7. Brennecke J.F., and Eckert C.A. Phase equilibria for supercritical fluid process design. AIChE J. 35 (1989) 1409-1427
8. Soave G. A simple model for the supercritical extraction of solids. J. Supercrit. Fluids 19 (2000) 19-24
9. Raj Sharma R., Singhal D., Ghosh R., and Dwivedi A. Potential applications of artificial neural networks to thermodynamics: vapor-liquid equilibrium predictions. Comput. Chem. Eng. 23 (1999) 385-390
10. Zorzetto L.F.M., Maciel Filho R., and Wolf-Maciel M.R. Process modeling development through artificial neural networks and hybrid models. Comput. Chem. Eng. 24 (2000) 1355-1360
11. Baughman D.R., and Liu Y.A. Neural Networks in Bioprocessing and Chemical Engineering (1995), Academic Press Inc.
12. 2 extraction of black pepper essential oil. J. Supercrit. Fluids 38 (2006) 37-43
13. Lübbert A., and Simutis R. Using measurement data in bioprocess measurement and control. Tibtech 12 (1994) 304-311
14. Orbey H., and Sandler S.L. "Modeling Vapor-Liquid Equilibria" Cubic Equations of States and Their Mixing Rules (1998), Cambridge University p. 385
15. Ahmadpour J., and Varaminian F. Solubility of alpha pinene by Peng Robinson EOS. IAchE J. 21 (2006) 57-62
16. Hall Kenneth R., Iglesias-Silva Gustavo A., and Ali Mansoori G. Quadratic mixing rules for equations of state. Origins and relationships to the virial expansion. Fluid Phase Equilib. 91 (1993) 67-76
17. Demuth H., Beale M., and Hagan M. Neural Network Toolbox User's Guide (2006), The MathWorks Inc.