Document Detail


Modeling and optimization of microbial hyaluronic acid production by Streptococcus zooepidemicus using radial basis function neural network coupling quantum-behaved particle swarm optimization algorithm.
MedLine Citation:
PMID:  19691123     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Hyaluronic acid (HA) is a natural biopolymer with unique physiochemical and biological properties and finds a wide range of applications in biomedical and cosmetic fields. It is important to increase HA production to meet the increasing HA market demand. This work is aimed to model and optimize the amino acids addition to enhance HA production of Streptococcus zooepidemicus with radial basis function (RBF) neural network coupling quantum-behaved particle swarm optimization (QPSO) algorithm. In the RBF-QPSO approach, RBF neural network is used as a bioprocess modeling tool and QPSO algorithm is applied to conduct the optimization with the established RBF neural network black model as the objective function. The predicted maximum HA yield was 6.92 g/L under the following conditions: arginine 0.062 g/L, cysteine 0.036 g/L, and lysine 0.043 g/L. The optimal amino acids addition allowed HA yield increased from 5.0 g/L of the control to 6.7 g/L in the validation experiments. Moreover, the modeling and optimization capacity of the RBF-QPSO approach was compared with that of response surface methodology (RSM). It was indicated that the RBF-QPSO approach gave a slightly better modeling and optimization result compared with RSM. The developed RBF-QPSO approach in this work may be helpful for the modeling and optimization of the other multivariable, nonlinear, time-variant bioprocesses.
Authors:
Long Liu; Jun Sun; Wenbo Xu; Guocheng Du; Jian Chen
Related Documents :
17215363 - Improved evolutionary optimization from genetically adaptive multimethod search.
25280453 - Self-perceptions and their prediction of aggression in male juvenile offenders.
21302553 - Chemical origins of the mars ultraviolet dayglow.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biotechnology progress     Volume:  25     ISSN:  1520-6033     ISO Abbreviation:  Biotechnol. Prog.     Publication Date:    2009 Nov-Dec
Date Detail:
Created Date:  2009-12-21     Completed Date:  2010-04-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8506292     Medline TA:  Biotechnol Prog     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1819-25     Citation Subset:  IM    
Copyright Information:
(c) 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009.
Affiliation:
School of Biotechnology, Jiangnan University, Wuxi 214122, China.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Amino Acids / metabolism
Cell Proliferation
Hyaluronic Acid / biosynthesis*
Kinetics
Lactic Acid / metabolism
Models, Biological*
Neural Networks (Computer)*
Quantum Theory
Regression Analysis
Streptococcus equi / metabolism*
Sucrose / metabolism
Chemical
Reg. No./Substance:
0/Amino Acids; 50-21-5/Lactic Acid; 57-50-1/Sucrose; 9004-61-9/Hyaluronic Acid

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Growth behavior of number distributed adherent MDCK cells for optimization in microcarrier cultures.
Next Document:  Restless legs syndrome in Parkinson's disease.