Modeling and simulation of nverhong rice wine pre-fermentation

Xitong Fangzhen Xuebao / Journal of System Simulation

Volumn 26, Issue 3, 2014, Pages

  Liu, Deng Feng ^a   Xiong, Wei Li ^a   Xu, Ling ^a   Jiang, Li Hua ^a   Zhang, Hong Tao ^a   Hu, Jian Hua ^b   Xu, Bao Guo ^a  

^a JIANGNAN UNIVERSITY   (China)

^b Shaoxing Rice Wine Group Co Ltd   (China)

Author keywords

Process modeling and simulation; Rice wine fermentation; Semi solid state and semi liquid state; Simultaneous saccharification and fermentation

Indexed keywords

EID: 84900475741     PISSN: 1004731X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. 2009, (8): 12-14.
2. Que F, Mao L, Zhu C, et al. Antioxidant properties of Chinese yellow wine, its concentrate and volatiles [J]. LWT-Food Science and Technology (S0023-6438), 2006, 39 (2): 111-117.
3. 2009, (7): 10-11.
4. 2005, (3): 49-50.
5. Murthy G S. Development of a controller for fermentation in the dry grind corn process [D]. Urbana, Illinois, USA: University of Illinois at Urbana-Champaign, 2006.
6. Murthy G S, Johnston D B, Rausch K D, et al. A simultaneous saccharification and fermentation model for dynamic growth environments [J]. Bioprocess and Biosystems Engineering (S1615-7605 (Online) 1615-7591 (Print), 2012, 35 (4): 519-534.
7. Murthy G S, Johnston D B, Rausch K D, et al. Design and evaluation of an optimal controller for simultaneous saccharification and fermentation process [J]. Applied Biochemistry and Biotechnology (S0273-2289), 2012, 166 (1): 87-111.
8. 2011, 32 (2): 31-33, 37.
9. 2012, 27 (10): 34-37.
10. 2011, 20 (6): 126-128.
11. Liu D, Xiong W, Xu G, et al. An automated system for monitoring and controlling of rice wine fermentation [C] // 2012 ASABE Annual International Meeting, Dallas, Texas, USA, July 29-August 1, 2012. St. Joseph, Michigan, USA: The American Society of Agricultural and Biological Engineers, 2012: 3643-3651.
12. 2012.
13. GB/T 13662-2008
14. Marquardt D W. An algorithm for least-squares estimation of nonlinear parameters [J]. Journal of the Society for Industrial and Applied Mathematics (S03684245), 1963, 11 (2): 431-441.
15. Sousa J R R, Lopes G P, Tardioli P W, et al. Kinetic model for whey protein hydrolysis by alcalase multipoint-immobilized on agarose gel particles [J]. Brazilian Journal of Chemical Engineering (S0104-6632), 2004, 21 (2): 147-153.
16. Guilherme A, Silveira M, Fontes C M L, et al. Modeling and optimization of lactic acid production using cashew apple juice as substrate [J]. Food and Bioprocess Technology (S1935-5130), 2012, 5 (8): 3151-3158.
17. Constantinides A, Mostoufi N. Numerical methods for chemical engineers with MATLAB applications [M]. Upper Saddle River, New Jersy, USA: Prentice Hall PTR, 1999.
18. Presečki A, Blažević Z, Vasić-Rački D. Complete starch hydrolysis by the synergistic action of amylase and glucoamylase: Impact of calcium ions [J]. Bioprocess and Biosystems Engineering (S1615-7605 (Online) 1615-7591 (Print)), 2013, 36 (11): 1555-1562.
19. Zhang B, Dhital S, Gidley M J. Synergistic and antagonistic effects of α-amylase and amyloglucosidase on starch digestion [J]. Biomacromolecules (S1525-7797), 2013, 14 (6): 1945-1954.
20. Ryu Ddy, Lee Sb, Tassinari T, et al. Effect of compression milling on cellulose structure and on enzymatic hydrolysis kinetics [J]. Biotechnology and Bioengineering (S1097-0290), 1982, 24 (5): 1047-1067.
21. Matsumura M, Hirata J, Ishii S, et al. Kinetics of saccharification of raw starch by glucoamylase [J]. Journal of Chemical Technology & Biotechnology (S1097-4660), 1988, 42 (1): 51-67