Two-particle model of anaerobic solid state fermentation

2000 ◽  
Vol 41 (3) ◽  
pp. 43-50 ◽  
Author(s):  
S. Kalyuzhnyi ◽  
A. Veeken ◽  
B. Hamelers

A structured mathematical model of anaerobic solid state fermentation (ASSF) has been developed. Since a stable ASSF requires addition of significant quantities of methanogenic seed sludge and mass-transfer limitation becomes important, the model postulates the existence of two different types of particles inside the fermenting solid mass – so-called “seed” particles with low biodegradability and high methanogenic activity and so-called “waste” particles with high biodegradability and low methanogenic activity. Any particle is assumed to be a completely mixed reactor and mass transfer of solutes between the particles is brought about by diffusion. The model includes multiple-reaction stoichiometry, microbial growth kinetics, material balances, liquid-gas interactions and liquid phase equilibrium chemistry. The theoretical model agrees on the qualitative level with existing experimental studies of ASSF. Hypothetical computer simulations are presented to illustrate the influence of biodegradabilityand mass transfer intensity on the stability of ASSF. On this basis, possible measures are proposed to prevent accumulation of volatile fatty acids inside the “seed” particles beyond their assimilative methanogenic capacity.

Fuel ◽  
2015 ◽  
Vol 144 ◽  
pp. 90-95 ◽  
Author(s):  
Yueying Mao ◽  
Jihong Li ◽  
Shizhong Li ◽  
Sandra Chang ◽  
Gang Zhao

2021 ◽  
Author(s):  
Janani Balraj ◽  
Thandeeswaran Murugesan ◽  
Vidhya Kalieswaran ◽  
Karunyadevi Jairaman ◽  
Devippriya Esakkimuthu ◽  
...  

Abstract Our earlier paper had established the fact that new soil fungi known as Cunninghamella blakesleeana is potent enough to produce lovastatin significantly. At present, there are no reports on the media optimization for the lovastatin production. Hence, the objective is to optimize the fermentation conditions for lovastatin production by Cunninghamella blakesleeana under Solid State fermentation (SSF) condition through screening the critical factors by one factor at a time and then, optimize the factors selected from screening using statistical approaches. SSF was carried using the pure culture of Cunninghamella blakesleeana KP780148.1 with wheat bran as substrate. Initial screening was performed for physical parameters, carbon sources and nitrogen sources and then optimized the selected parameters through PBD and BBD. Screening result indicated the optimum values of the analysed parameter for the maximal production of lovastatin by Cunninghamella blakesleeana were selected. Out of the nine factors MgSO4, (NH4)2SO4, pH and Incubation period were found to influence the lovastatin production significantly after PBD. The optimal levels of these variables and the effect of their mutual interactions on lovastatin production were determined using BBD surface design. The optimum medium composition was found to be MgSO4(0.2 g/L), (NH4)2 SO4 (12.5 g/L), pH (6) and Incubation period (7 days). Experimental studies showed a yield of 7.39 mg/g at the above optimized conditions which were observed to be very nearby to the predicted value and hence the model was successfully validated. Hence, this is the first report on the optimization of critical parameters for lovastatin production by Cunninghamella blakesleeana.


Author(s):  
David A. Mitchell ◽  
Marin Berovič ◽  
Oscar F. von Meien ◽  
Luiz Fernando L. Luz

2020 ◽  
pp. 127246 ◽  
Author(s):  
Anelize Terezinha Jung Finkler ◽  
Mariana Zanlorenzi Weber ◽  
Gustavo Alexandre Fuchs ◽  
Leandro Aluisio Scholz ◽  
Luiz Fernando de Lima Luz Jr ◽  
...  

Planta Medica ◽  
2013 ◽  
Vol 79 (13) ◽  
Author(s):  
G Juodeikiene ◽  
D Cizeikiene ◽  
A Maruška ◽  
E Bartkiene ◽  
L Basinskiene ◽  
...  

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