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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Phase behaviour and mathematical modelling for the system annatto seed oil in compressed carbon dioxide plus ethanol as co-solvent

Texto completo
Autor(es):
Vardanega, Renata [1] ; Dalmolin, Irede A. [2] ; Nogueira, Gislaine C. [1] ; Hatami, Tahmasb [1] ; Meireles, M. Angela A. [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Sch Food Engn, LASEFI DEA FEA, UNICAMP, R Monteiro Lobato 80, BR-13083862 Campinas, SP - Brazil
[2] UTFPR Fed Technol Univ Parana, DAENQ Dept Chem Engn, Linha Santa Barbara S-N, BR-85601970 Francisco Beltrao, Para - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF SUPERCRITICAL FLUIDS; v. 130, p. 56-62, DEC 2017.
Citações Web of Science: 3
Resumo

This work reports phase equilibrium experimental data (cloud points) for the system annatto seed oil in compressed carbon dioxide + ethanol as co-solvent. The oil was obtained by supercritical fluid extraction at 40 degrees C and 20 MPa using carbon dioxide as solvent. The synthetic static method was employed for the measurements, which were carried out in a temperature range from 25 to 60 degrees C and up to 19.32 MPa. The experiments were carried out using (CO2 + ethanol) overall mass fraction compositions ranging from 0.82 to 0.99. Experimental results were modelled using artificial neural network (ANN). Results indicate a complex phase behavior for all temperatures investigated with the occurrence of vapor-liquid, liquid-liquid and vapor-liquid-liquid transitions. ANN modelling was an efficient alternative for the thermodynamic models to accurately analysis of the phase equilibrium at high pressure. (AU)

Processo FAPESP: 15/13299-0 - Das sementes aos produtos finais: rotas possíveis de manufatura de Urucum aplicando intensificação e integração de processos
Beneficiário:Maria Angela de Almeida Meireles Petenate
Linha de fomento: Auxílio à Pesquisa - Regular