화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Journal of Industrial and Engineering Chemistry, Vol.81, 219-227, January, 2020
DOI10.1016/j.jiec.2019.09.011  Export Citation
Enrichmnent of patchoulol extracted from patchouli (Pogostemon cablin) oil by molecular distillation using response surface and artificial neural network models
T.N.C. Dantas†, T.J.O. Cabral, A.A. Dantas Neto, and M.C.P.A. Moura
  • Department of Chemical Engineering, Federal University of Rio Grande do Norte, Campus Universitário, Av. Senador Salgado Filho 3000, Natal-RN, 59072-970, Brazil
E-mail:
This work seeks to optimize the process of molecular distillation of patchouli oil to obtain patchoulol rich fractions, using response surface methodology (RSM) and artificial neural network (ANN). Optimal conditions obtained by the central composite planning were evaporation temperature of 85 °C, condenser temperature of 10 °C, and agitation speed of 600 RPM. The conditions above generated a concentration of 62.344% of patchoulol in the residue, reaching a recovery of 74.22%. Results obtained by the ANN demonstrated a good predictive capacity, and can be used in conjunction with the RSM for the modeling of the patchoulol enrichment process.
Keywords:Patchouli oil;Molecular distillation;Artificial neural network;Patchoulol
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