Modeling Biopolymer and Glucose as Carbon Source Using Artificial Neural Network

International Conference on Science and Innovated Engineering

工业技术（总论）;自然科学（总论）

Riza, M.^1^2 ; Mukhlishien^2 ; Sentia, P.D.^3^4 ; Andriansyah^3^4 ; Dewi, R.^5

Department of Doctoral Engineering Science, University of Syiah Kuala, Darussalam, Banda Aceh

23111, Indonesia^1

Chemical Engineering Department, University of Syiah Kuala, Darussalam, Banda Aceh

23111, Indonesia^2

Industrial Engineering Department, University of Syiah Kuala, Darussalam, Banda Aceh

23111, Indonesia^3

Laboratory of Industrial Computation and Optimization, Industrial Engineering, University of Syiah Kuala, Darussalam, Banda Aceh

23111, Indonesia^4

Chemical Engineering Department, University of Malikussaleh, Muara Batu, Aceh Utara

24351, Indonesia^5

关键词: Biotechnology products;    Downstream process;    Engineering principles;    Pharmaceutical products;    Processing elements;    Production alternatives;    Upstream process;    Vis-coelastic fluids;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/536/1/012044/pdf
DOI  :  10.1088/1757-899X/536/1/012044

来源: IOP

【 摘 要 】

Biopolymer is one of the interesting biotechnology products and a promising class of biomaterials, which can be naturally occurred or produced by microorganisms. The production of the biopolymer by bioprocess technology requires the application of chemical engineering principles such as upstream processes, fermentation, and downstream processes. Hyaluronic Acid (HA), also called as hyaluronan is a unique biopolymer. HA is used in exclusive pharmaceutical products such as viscoelastic fluids in ophthalmological surgery. The production alternative of HA from animal tissues is by fermentation. In this study, glucose is used in fermentation as the carbon source for an experiment. Artificial Neural Network (ANN) is used for modeling the use of glucose to produce HA from the experimental study. ANN is a system consisting of many simple processing elements connected in parallel. The mean square error (MSE) in this study if0.09830%.