Browse > Article
http://dx.doi.org/10.7841/ksbbj.2013.28.2.65

Optimization for Enzymatic Hydrolysis of Mannitol  

Park, Eun-Young (Department of Energy and Environmental System Engineering, The University of Seoul)
Kim, Yong-Jin (Department of Environmental Engineering and Biotechnology, Mokpo National Maritime University)
Jeong, Seung-Mi (Department of Environmental Engineering and Biotechnology, Mokpo National Maritime University)
Lee, Dong-Hoon (Department of Energy and Environmental System Engineering, The University of Seoul)
Publication Information
KSBB Journal / v.28, no.2, 2013 , pp. 65-73 More about this Journal
Abstract
This study aimed to investigate the enzymatic hydrolysis of mannitol using Viscozyme$^{(R)}$ L, Celluclast$^{(R)}$ 1.5 L, Saczyme$^{(R)}$, Novozym$^{(R)}$, Fungamyl$^{(R)}$ 800 L, Driselase$^{(R)}$ Basidiomycetes sp., and Alginate Lyase, and to optimize of reaction conditions for production of reducing sugar. Response surface methodology (RSM) based on central composite rotatable design was used to study effects of the independent variables such as enzyme (1-9% v/w), reaction time (10-30 h), pH (3.0-7.0) and reaction temperature ($30-70^{\circ}C$) on production of reducing sugar from mannitol. The coefficient of determination ($R^2$) of $Y_1$ (yield of reducing sugar by Viscozyme$^{(R)}$ L) and $Y_3$ (yield of reducing sugar by Saczyme$^{(R)}$) for the dependent variable regression equation was analyzed as 0.985 and 0.814. And the p-value of $Y_1$ and $Y_3$ showing 0.000 and 0.001 within 1% (p < 0.01), respectively, was very significant. The optimum conditions for production of reducing sugar with Viscozyme$^{(R)}$ L were 9.0 % (v/w) amount of enzyme, 30.0 hours of reaction time, pH 4.5 and $30.0^{\circ}C$ of reaction temperature, and those with Saczyme$^{(R)}$ were 9.0% (v/w) of amount of enzyme dosage, 30.0 h of reaction time, pH 7.0 and $30.0^{\circ}C$ of reaction temperature, consequently, the predicted reducing sugar yields were 22.5 and 27.9 mg/g-mannitol, respectively.
Keywords
Enzymatic Hydrolysis; Response Surface Methodology (RSM); Optimization; Mannitol;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Park, E. Y., S. M. Jeong, Y. J. Kim, and D. H. Lee (2012) Review on hydrolysis methods of the macroalgae for production of bioethanol. Korea Society of Waste Management. 29: 323-333.
2 Horn, S. J. (2000) Bioenergy from brown seaweeds. Ph. D. Thesis. Norwegian University of Science and Technology NTNU, Trondheim, Norway.
3 Obluchinskaya, E. D. (2008) Comparative chemical composition of the barents sea brown algae. Applied Biochemistry and Microbiology. 44: 305-309.   DOI
4 Klindukh, M. P., E. D. Obluchinskaya, and A. G. G. Matishov (2011) Seasonal changes in the mannitol and proline contents of the brown alga Fucus vesiculosus L. on the murman coast of the barents sea. Doklady Biological Sciences. 441: 373-376.   DOI
5 Horn, S. J., I. M. Aasen, and K. ostgaard (2000) Production of ethanol from mannitol by Zymobacter palmae. Journal of Industrial Microbiology & Biotechnology. 24: 51-57.   DOI   ScienceOn
6 Percival, E. and R. H. Mcdowell (1967) Chemistry and Enzymology of Marine algal Polysaccharides., pp. 1-219. Academic Press, London and New York.
7 Iwamoto, K and Y. Shiraiwa (2005) Salt-regulated mannitol metabolism in algae. Marine Biotechnology. 7: 407-415.   DOI
8 Xiao, G. and Y. Huiyuan (2008) Optimization of viscozyme Lassisted extraction of oat bran protein using response surface meth odology. Food chemistry. 106: 345-351.   DOI   ScienceOn
9 Jing, L., G. Xiao, Z. Daqi, and S. Jun (2008) Optimization of the enzymatic pretreatment in oat bran protein extraction by particle swarm optimization algorithms for response surface modeling. LWT-Food science and technology. 41: 1913-1918.   DOI   ScienceOn
10 Park, S. H. and J. U. Kim (2011) The Modern Experimental Design Utilizing Minitab., pp. 421-464. Minyoungsa, Korea.
11 Hong, H. P. and C. M. Ma (2009) Policy research: The present condition of the bioenergy industry and direction of policy using the seaweed. The institute for national security strategy. 160: 29-64.
12 Kim, H. H., Y. S. Go, Y. M. Im, and C. H. Lee (2009) CEO Information: The next generation bio-industry 5 kind choice which Korea will have to pay attention to. Samsung economic reserch institute. 731: 1-21.
13 Lee, S. Y., J. W. Ahn, H. J. Hwang, and S. B. Lee (2011) Seaweed biomass resources in Korea. Korean Society for Biotechnology and Bioengineering Journal. 26: 267-276.   과학기술학회마을   DOI   ScienceOn
14 Ryu, J. G., J. H. Cho, and D. Y. Kim (2009) Strategies to industrialize the algae bio-business and policy direction. Korea maritime institute. 13: 1-196.
15 Ministry for Food, Agriculture, Forestry and Fisheries (2009) The seaweed massive raising for biomass and bio energy production technology development roadmap (feasibility study) research. Ministry for Food Agriculture.
16 Jeong, G. T. and D. H. Park (2010) Production of sugar and levulinic acid from Marine biomass Gelidium amansii. Applies Biochemistry and Biotechnology. 161: 41-52.   DOI   ScienceOn
17 Jeong, S. M. (2011) Ethanol Fermentation of Hexose and Pentose from Food Wastes by Saccharomyces coreanus and Pichia stipitis. Ph.D. Thesis. The University of Seoul, Korea.
18 Miller, G. L. (1959) Use of dinitrosalicylic acid reagent for determination of reducing sugar. Analytical chemistry. 31: 426-428.   DOI
19 Novozymes Homepage. http://www.novozymes.com. (2012).
20 SIGMA-ALDRICH Homepage. http://www.sigmaaldrich.com. (2012).
21 Lee, D. S. (2000) Carbohydrate Enzymatic Reactions. pp. 80-83. Hanrimwon. Korea.
22 Graf, E. and I. S. Saguy (1990) Food Product Development from Concept to Marketplace. pp. 211-230. In: A. M. Joglekar, and A. T. May. Product Excellence Through Experimental Design. An aspen Publication, USA.
23 Lee, S. B. (2008) The Example-centered Experimental Design. pp. 101-286. Eretec, Korea.