Mixture of Xylose and Glucose Affects Xylitol Production by Pichia guilliermondii: Model Prediction Using Artificial Neural Network

Document Type : Research Article

Authors

Faculty of Chemical Engineering, Amirkabir University of Technology, Tehran, I.R. IRAN

Abstract

Production of several yeast products occur in presence of mixtures of monosaccharides. To study effect of xylose and glucose mixtures with system aeration and nitrogen source as the other two operative variables on xylitol production by Pichia guilliermondii, the present work was defined. Artificial Neural Network (ANN) strategy was used to athematically show interplay between these three controllable factors and the xylitol productivity response. In the first stage, model fitting was performed using Response Surface Methodology (RSM) and the appropriate fraction of this design then was applied for the ANN training step (Levenberg Marquardt ‘LM’ algorithm). The best ANN model configuration with the three test input variables composed of six neurons in the hidden layer and tangent sigmoid (TANSIG) and linear transfer function (PURELIN) were used as the activation functions for the data processing from inputs to the hidden layer and from the constructed neurons to the output nodes. The network performance was evaluated by Mean Squared Error (MSE) and the regression coefficient of determination (R2). These values respectively, for the RSM model fitting were 2.327× 10-4 and 0.9817, and for the ANN training data were 2.29 × 10-8 and 0.9999. While MSE and R2 values for the other two steps of ANN were 4.56 × 10-3 and 0.9741 (validating step) and1.52× 10-3 and 0.9325 (testing step), respectively. Positive synergism of ANN with RSM was confirmed.

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References

[1] Mayerhoff Z.D.V.L., Roberto I.C., Franco T.T., Response Surface Methodology as an Approach to Determine the Optimal Activities of Xylose Reductase and Xylitol Dehydrogenase Enzymes from Candida mogii, Appl. Microbiol. Biotechnol., 70, p. 761 (2006).
[2] Mussatto S.I., Silva C.J.S.M., Roberto I.C., Fermentation Performance of Candida guilliermondii for Xylitol Production on Single and Mixed Substrate Media, Appl. Microbiol. Biotechnol., 72, p. 681 (2006).
[3] Jeppsson H., Alexander N.J., Hahn-Ha¨Gerdal B., Existence of Cyanide-Insensitive Respiration in the Yeast Pichia stipitis and its Possible Influence on Product Formation During Xylose Utilization, Appl. Environ. Microbiol., 61, p. 2596 (1995).
[4] Oh D.K., Kim S.Y., Kim J.H., Increase of Xylitol Production Rate by Controlling Redox Potential in Candida parapsilosis, Biotechnol. and Bioeng., 58, p. 440 (1998).
[5 ] Stanier R.Y., Ingraham J.L., Wheelis M.L., Painter P.R., “General Microbiology”, Fifth ed. Macmillan Education LTD., ISBN: 0-333-41768-2 (1986).
[6] Stryer L., “Biochemistry” (4th Ed.) WH Freeman Co., NewYork: ISBN: 0-7167-2009-4 (1995).
[7] Hsiao H., Chiang L., Ueng P.P., Tsao G.T., Sequential Utilization of Mixed Monosaccharides by Yeasts, Appl. & Environ. Microbiol., 43(4), p. 840 (1982).
[8] Kumar S., Gummadi S.N., Metabolism of Glucose and Xylose as Single and Mixed Feed in Debaryomyces nepalensis NCYC 3413: Production of Industrially Important Metabolites, Appl. Microbiol. Biotechnol., 89, p. 1405 (2011).
[9] Nolleau V., Preziosi-Belloy L., Delgenes J.P., Navarro, J.M., Xylitol Production from Xylose by Two Yeast Strains: Sugar Tolerance, Curr. Microbiol., 27, p. 191 (1993).
[10] Parajo J.C., Dominguez H., Dominguez J.M., Biotechnological Production of Xylitol Part1: Interest of Xylitol and Fundamentals of its Biosynthesis, Bioresource Technol., 65, p. 191 (1998).
[11] Suryadi H., Katsuragi T., Yoshida N., Suzuki S., and Tani Y., Polyol Production by Culture of Methanol-Utilizing Yeast, J. Biosci. &  Bioeng.,89, p. 236 (2000).
[12] Barbosa M.F.S., Medeiros T.M.M.B., Mancilha I.M. Lee H.S., Screening of Yeasts for Production of Xylitol from D-Xylose and Some Factors Which Affect Xylitol Yield, Candida guilliermondii, J. Ind. Microbiol., 3, p. 241 (1988).
[13] Leathers T.D., Gupta S.C., Xylitol and Riboflavin Accumulation in Xylose-Grown Cultures of Pichia guilliermondii, Appl. Microbiol. Biotechnol., 47, p. 158 (1997).
[14] Santos D.T., Sarrouh B.F., Rivaldi J.D., Converti A., Silva S.S., Use of Sugarcane Bagasse as Biomaterial for Cell Immobilization for Xylitol Production, J.  Food Eng., 86, p. 542 (2008).
[15] Walther T., Hensirisak P., Agblevor F.A., The Influence of Aeration and Hemicellulosic Sugars on Xylitol Production by Candida tropicalis, Bioresource Technol., 76, p. 213 (2001).
[16] Aguiar W.B., Faria L.F.F., Cuoto M.A.P.G., Araujo O.Q.F., Pereira N., Growth Model and Prediction of Oxygen Transfer Rate for Xylitol Production from D- Xylose by Candida guilliermondii, Biochem. Eng. J., 12, p. 49 (2002). 
[17] Arranda-Barradas J.S., Garibay-Orijel C., Badillo- Corona J.A., A Stoichiometric Analysis of Biological Xylitol Production, Biochem. Eng. J., 50, p. 1 (2010).
[18] Agatonovic-Kustrin S., Beresford R., Basic Concepts of Artificial Neural Network (ANN) Modeling and Its Application in Pharmaceutical Research, J. Pharmaceutical and Biomedical Analysis, 22, p. 717 (2000).
[19] Bas D., Boyaci I.H., Modeling and Optimization II: Comparison of Estimation Capabilities of Response Surface Methodology with Artificial Neural Networks in a Biochemical Reaction, J. Food Eng., 78, p. 846 (2007).
[20] Myers R., Montgomery D., “Response Surface Methodology- Process and Product Optimization Using Designed Experimental”, New York: John Wiley & Sons, Inc. ISBN 0-471-41255-4 (2002).
[21] Vining, G.G., “Statistical Methods for Engineers”, Brooks/Cole publishing Co. A division of International Thomson Publishing Inc. ISBN: 0-534-23706-1(1998).
[22] Torrecilla J.S., Mena M.L., Yanez-Sedeno P., Garcia J., Field Determination of Phenolic Compounds in Olive Oil Mill Wastewater by Artificial Neural Network, Biochem. Eng. J., 38, p. 171 (2008).
[23] Ebrahimpour A., Abd Rahman R.N.Z.R., Chng D.H.E., Basri M., Salleh A.B., A Modeling Study by Response Surface Methodology and Artificial Neural Network on Culture Parameters Optimization for Thermostable Lipase Production from a Newly Isolated Thermophilic Geobacillus sp. Strain ARM, BMC Biotechnology, 8, p. 96 (2008).
[24] Rodrigues R.C., Lu C., Lin B., Jeffries T.W., Fermentation Kinetics for Xylitol Production by a Pichia stipitis D: Xylulokinase Mutant Previously Grown in Spent Sulfite Liquor, Appl. Biochem. Biotechnol., 148 (1-3), p. 199 (2008).
[25] Ahadian S., Moradian S., Sharif F., Prediction of Time of Time of Capillary Rise in Porous Media Using Artificial Neural Network (ANN), Iranian Journal of Chemistry and Chemical Engineering, 26(1) (2007).
[26] Abdul-Rahman M.B., Chaibakhsh N., Basri M., Salleh A., Zaliha R.N., Abdul-Rahman R., Application of Neural Network for Yield Prediction of Lipase- Catalyzed Synthesis of Dioctyl Adipate, Appl. Biochem. Biotechnol., 158 (3), p. 722 (2009). 

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