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Study of immobilization of Aspergillus oryzae mycelium aided by artificial neural network / 生物工程学报
Chinese Journal of Biotechnology ; (12): 221-224, 2002.
Article in Chinese | WPRIM | ID: wpr-231346
ABSTRACT
Aspergillus oryzae mycelium pellets with abundant aminoacylase were cultured by liquid fermentation. Mycelium pellets were immobilized by crosslinking method with reagent of gelatin and formaldehyde. Basing on the orthogonal design table L16 (4(5)), artificial neural network(ANN) model with back-propagation(BP) of error structured 4-10-15-1 was used to optimize the immobilization conditions. And the optimal conditions were obtained. Then the activity of the immobilized cells prepared under the optimal conditions was assayed. Compared with the free mycelium activity of 1800 u, the residual activity rate was 83%, which was in good accordance with that predicted by ANN. It illustrated that artificial neural network can be used to find optimal conditions for cell immobilization.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Pharmacology / Aspergillus oryzae / Neural Networks, Computer / Mycelium / Dose-Response Relationship, Drug / Enzymes, Immobilized / Formaldehyde / Amidohydrolases / Gelatin / Metabolism Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Biotechnology Year: 2002 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Pharmacology / Aspergillus oryzae / Neural Networks, Computer / Mycelium / Dose-Response Relationship, Drug / Enzymes, Immobilized / Formaldehyde / Amidohydrolases / Gelatin / Metabolism Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Biotechnology Year: 2002 Type: Article