A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

Abstract

Background: Thermostable bacterial lipases occupy a place of prominence among biocatalysts owing to their novel, multifold applications and resistance to high temperature and other operational conditions. The capability of lipases to catalyze a variety of novel reactions in both aqueous and nonaqueous media presents a fascinating field for research, creating interest to isolate novel lipase producers and optimize lipase production. The most important stages in a biological process are modeling and optimization to improve a system and increase the efficiency of the process without increasing the cost.

Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast

“…Tesfaw and Assefa [46] also confirm the importance of the finding that lower inoculum size reduces the cost of production in ethanol fermentation. The mutually significant relationship between inoculum size and temperature was due to the use of a commercial strain (Anchor Instant Yeast) which operated within the specified temperature range (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) • C) in the design of the experiment. …”

“…Over the past years, data analysis tools such as artificial neural networks and evolutionary computing based on biological phenomena have evolved into well-established techniques for prediction and optimization of processes [29]. Artificial Neural Networks (ANNs) have found wide applications as a learning tool in bioprocessing, with focus areas such as pattern recognition, molecular sequences, data forecasting, and fermentation and optimization studies.…”

Bioresources for Third-Generation Biofuels

“…Another limiting factor for the use of enzymes is the inactivation and inhibition by reactants and substrates. These drawbacks are the object of an intensive effort to make possible the reutilization of enzymes through protein engineering (Ebrahimpour et al, 2008), in order to increase their stability and activity. Research interest is also targeted on immobilization in different supports or the usage of genetically engineered microorganisms, called whole cell catalysts, which carry the necessary enzymes, avoiding their exposure to inhibiting substrates and operating as microrefineries (Kalscheuer et al, 2006).…”

Enhancing Degradation of Low Density Polyethylene Films by Curvularia lunata SG1 Using Particle Swarm Optimization Strategy

“…The choice of optimal neural network architecture and topology is vital for successful application of ANN [11]. Hence, various network topologies were investigated for their predictability.…”

“…Among various statistical optimization techniques for media components along with environmental parameters, response surface methodology (RSM) has been extensively employed in the optimization of various bio-processes. However, in some cases, complex non-linear biological interactions cannot be completely described by using second-order polynomial model based on RSM [11,12]. Hence, a more advanced modelling and optimization technique such as artificial neural network modelling coupled with genetic algorithm has been successfully implemented to optimize multivariate non-linear bio-processes [13,14].…”