Novel Linearized Kinetic Modeling of Starch Hydrolysis
Nwoko Christopher Ikpe Amadi *
Department of Chemistry, School of Physical Sciences, Federal University of Technology Owerri, P.M.B. 1526, Nigeria
Nkwoada Amarachi Udoka
Department of Chemistry, School of Physical Sciences, Federal University of Technology Owerri, P.M.B. 1526, Nigeria
Ihuoma Peterclever Chidi
Department of Chemistry, School of Physical Sciences, Federal University of Technology Owerri, P.M.B. 1526, Nigeria
*Author to whom correspondence should be addressed.
Abstract
The hydrolysis of starch into glucose by acid and enzyme techniques has recorded higher glucose recovery and optimization of processes, but lacks the fitting of the results into a kinetic linear model. The application of kinetic linearized model effect of temperature on pH and acid concentration during hydrolysis of starch into glucose was studied. The experiment was conducted at different durations using reported preparatory techniques and average values of triplicates were reported. The maximum glucose yield of 18.20 mg/ml was observed on 4 hours at 60°C from acid hydrolysis and similarly observed at 4 hours at 100°C for enzyme hydrolysis. The lowest glucose yield of 10.0 mg/ml and 11.1 mg/ml were both recorded at 30 minutes duration for acid and enzyme hydrolysis respectively. The correlation coefficient of acid hydrolysis when starch was hydrolyzed for 2 hours at 80°C had a value of 1 (line of best fit) while the weakest linear relationship (0.715) was obtained was in enzymatic hydrolysis when starch was hydrolyzed at 4 hours for 80°C Hence, the highest glucose yield was not automatically the most efficient process. The linear model equations showed that acid hydrolysis of starch had a positive energetic interaction while enzymatic hydrolysis had a negative energetic interaction. The slope and intercept of acid hydrolysis were all positive and indicated a positive relationship with parameters. All enzymatic hydrolysis had negative slope and indicated inverse relationship with the parameters. Therefore, the model allows researchers to make well interpretations of their results using linearized kinetic model.
Keywords: Starch, hydrolysis, glucose, linearized model