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A robust soft sensor to monitor 1,3-propanediol fermentation process by Clostridium butyricum based on artificial neural network.
Zhang, Ai-Hui; Zhu, Kai-Yi; Zhuang, Xiao-Yan; Liao, Lang-Xing; Huang, Shi-Yang; Yao, Chuan-Yi; Fang, Bai-Shan.
Afiliación
  • Zhang AH; Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China.
  • Zhu KY; Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China.
  • Zhuang XY; Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China.
  • Liao LX; Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China.
  • Huang SY; Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China.
  • Yao CY; Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China.
  • Fang BS; The Key Lab for Synthetic Biotechnology of Xiamen City, Xiamen University, Xiamen, Fujian, China.
Biotechnol Bioeng ; 117(11): 3345-3355, 2020 11.
Article en En | MEDLINE | ID: mdl-32678455
With the aggravation of environmental pollution and energy crisis, the sustainable microbial fermentation process of converting glycerol to 1,3-propanediol (1,3-PDO) has become an attractive alternative. However, the difficulty in the online measurement of glycerol and 1,3-PDO creates a barrier to the fermentation process and then leads to the residual glycerol and therefore, its wastage. Thus, in the present study, the four-input artificial neural network (ANN) model was developed successfully to predict the concentration of glycerol, 1,3-PDO, and biomass with high accuracy. Moreover, an ANN model combined with a kinetic model was also successfully developed to simulate the fed-batch fermentation process accurately. Hence, a soft sensor from the ANN model based on NaOH-related parameters has been successfully developed which cannot only be applied in software to solve the difficulty of glycerol and 1,3-PDO online measurement during the industrialization process, but also offer insight and reference for similar fermentation processes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Glicoles de Propileno / Redes Neurales de la Computación / Técnicas de Cultivo de Célula / Clostridium butyricum / Fermentación Tipo de estudio: Prognostic_studies Idioma: En Revista: Biotechnol Bioeng Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Glicoles de Propileno / Redes Neurales de la Computación / Técnicas de Cultivo de Célula / Clostridium butyricum / Fermentación Tipo de estudio: Prognostic_studies Idioma: En Revista: Biotechnol Bioeng Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos