Abstract :
Pectinases are complex cocktail enzyme that degrades pectin protein present in higher plant tissues. These
enzymes have enormous applications in pharmaceutical, chemical and other industrial sectors. About quarter sales
of food enzymes mainly rely on microbial pectinases. Apart from other industrial sector, pectinase plays a key role
in drug delivery studies. Mathematical modeling is a cost-effective tool for the control of production operations and
optimization of process parameters which makes them as vital components of fermentation processes related to
production of microbial pectinase. The merge of mathematical modeling with data obtained from experimental
results gives interpretation of characteristic features of microorganisms. These models were designed in particular
manner to attain maximal production of focused bio desired products having vital role in pharma based industries.
Mathematical models discussed in this article are of diverse degrees of mathematical difficulty. The mathematical
models which are used as devices to design for microbial growth and optimization like Gompertz, Baranyi, logistic
model, response surface methodology, artificial neural network (ANN) were discussed. And also, kinetic models
utilized for enzyme production like Monod, Michaelis-Menten, cybernetic and dynamic model their strength,
weakness and the circumstances for the usage of these models has been discussed in this communication. These
models will be alternate tools for analyzing and optimizing microbial pectinase production which ultimately
increases its application in pharmaceutical, chemical and other industrial arena.
Keyword :
Enzyme kinetics, Mathematical modeling, Microbial growth, Pectinase, cock tail enzyme.