Zobrazeno 1 - 4
of 4
pro vyhledávání: '"3 specific lipase"'
Publikováno v:
Grasas y Aceites, Vol 59, Iss 4, Pp 375-382 (2008)
A model for the acidolysis of trinolein and palmitic acid under the catalysis of immobilized sn-1,3 specific lipase was presented in this study. A neural networks (NN) based model was developed for the prediction of the concentrations of the major re
Externí odkaz:
https://doaj.org/article/0353f905bd4d4c03a998c1acb967a33b
Publikováno v:
Grasas y Aceites, Vol 59, Iss 4, Pp 316-320 (2008)
The effects of reaction parameters such as substrate mole ratio, reaction temperature, enzyme load, water content and reaction time were studied in a model enzymatic acidolysis system. Palmitic and stearic acids were incorporated into triolein (OOO)
Externí odkaz:
https://doaj.org/article/58984b05ef0a490cae9698b959b1a249
Publikováno v:
Grasas y Aceites, Vol 59, Iss 4, Pp 316-320 (2008)
Grasas y Aceites; Vol. 59 No. 4 (2008); 316-320
Grasas y Aceites; Vol. 59 Núm. 4 (2008); 316-320
Grasas y Aceites
Consejo Superior de Investigaciones Científicas (CSIC)
Grasas y Aceites; Vol. 59 No. 4 (2008); 316-320
Grasas y Aceites; Vol. 59 Núm. 4 (2008); 316-320
Grasas y Aceites
Consejo Superior de Investigaciones Científicas (CSIC)
The effects of reaction parameters such as substrate mole ratio, reaction temperature, enzyme load, water content and reaction time were studied in a model enzymatic acidolysis system. Palmitic and stearic acids were incorporated into triolein (OOO)
Publikováno v:
Grasas y Aceites, Vol 59, Iss 4, Pp 375-382 (2008)
Scopus-Elsevier
Grasas y Aceites; Vol. 59 No. 4 (2008); 375-382
Grasas y Aceites; Vol. 59 Núm. 4 (2008); 375-382
Grasas y Aceites
Consejo Superior de Investigaciones Científicas (CSIC)
Scopus-Elsevier
Grasas y Aceites; Vol. 59 No. 4 (2008); 375-382
Grasas y Aceites; Vol. 59 Núm. 4 (2008); 375-382
Grasas y Aceites
Consejo Superior de Investigaciones Científicas (CSIC)
A model for the acidolysis of trinolein and palmitic acid under the catalysis of immobilized sn-1,3 specific lipase was presented in this study. A neural networks (NN) based model was developed for the prediction of the concentrations of the major re