Study of process variables in industrial acetic fermentation by a continuous pilot fermentor and response surfaces.
The modeling and optimization of industrial processes requires an intensive study of the factors involved. In this work, a continuous pilot system for studying the industrial process of acetic fermentation is developed. A Doehlert design is applied to the five variables involved in the pilot process. This experimental design allows reduction of the experimental burden and the maximum amount of information to be obtained, studying the factors at different levels depending on their significance. The experimental system provides a robust measure of the specific growth rate and the rates of substrates consumption and acetic acid production, related to the flow of effluent stream evaluated in the steady state. The results demonstrate the growth-associated kinetics of substrates and product, and the yield factors are calculated with low values of variances for the coefficients, i.e., within the range 1-11%. The specific growth rate suits the quadratic model proposed. The response surfaces generated by the model are applied to explain the behavior of the bacterial growth and, therefore, the effects of the process variables studied over the acetic acid production. Very low levels of ethanol or oxygen make the acetification rate decrease, and a saturation effect with high levels of ethanol or oxygen is also deduced. The effects of the aeration rate, agitation, and overpressure suggest a kind of inhibition of the acetic acid production caused by the oxygen that has not been practically studied before. The temperature strengthens the inhibitory effect of the ethanol and the oxygen. The conclusions of this work consolidate the structure of a hybrid model for the acetic fermentation.
Garrido-Vidal
Diego
D
Chemical Engineering, Department of Chemistry, University of La Rioja, C/ Madre de Dios 51, 26006 Logroño, La Rioja, Spain.
Pizarro
Consuelo
C
González-Sáiz
José M
JM
D000085:Acetates / Q000378:metabolism*; D019342:Acetic Acid / Q000378:metabolism*; D000091:Acetobacter / Q000166:cytology / Q000254:growth & development* / Q000378:metabolism*; D019149:Bioreactors / Q000382:microbiology*; D018929:Cell Culture Techniques / Q000379:methods; D002617:Chemical Industry / Q000379:methods; D020650:Combinatorial Chemistry Techniques; D003198:Computer Simulation; D000431:Ethanol / Q000378:metabolism*; D005285:Fermentation / Q000502:physiology; D008954:Models, Biological; D010101:Oxygen Consumption / Q000502:physiology; D010865:Pilot Projects
D000085:Acetates; D000431:Ethanol; C007650:ethyl acetate; D019342:Acetic Acid