Abstract
In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a detailed deterministic model to identify the parameters with the most significant impact on the model to represent well the acrylic acid production process. It is proposed as an alternative process, having sugarcane as feedstock, to the petrochemical-based ones that have significant environmental impacts for their production. To increase the competitiveness of renewable acrylic-acid-based process, it is necessary to find out working conditions near the optimal region, which is not an easy task, as the process is multivariable and non-linear. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett–Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation.
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Abbreviations
- AA:
-
acrylic acid concentration
- D Ai :
-
diffusivity
- D az :
-
axial dispersion coefficient
- D p :
-
particle diameter
- D r :
-
reactor diameter
- F in :
-
feed rate
- k :
-
factors number
- K A, K A″ :
-
inhibition constant related with the product
- k i :
-
rate constant for reaction
- K i :
-
affinity constant
- K ji :
-
inhibition constant
- L :
-
reactor length
- p :
-
level of fractionation
- R i :
-
reaction rate
- S i :
-
extracellular concentration
- S in :
-
feed glucose concentration
- u :
-
superficial velocity
- X in :
-
feed biomass concentration
- X i :
-
active cell material
- X LADH :
-
lactate dehydrogenase
- ε :
-
porosity
- η :
-
effectiveness factor
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Acknowledgements
The authors are grateful to the Fundação de Amparo à Pesquisa do Estado de São Paulo–FAPESP process number 05/53186–8 for the financial support.
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Lunelli, B.H., Rivera, E.C., Vasco de Toledo, E.C. et al. Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design. Appl Biochem Biotechnol 148, 175–187 (2008). https://doi.org/10.1007/s12010-007-8060-8
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DOI: https://doi.org/10.1007/s12010-007-8060-8