Novel Linearized Kinetic Modeling of Starch Hydrolysis

Amadi, Nwoko Christopher Ikpe and Udoka, Nkwoada Amarachi and Chidi, Ihuoma Peterclever (2017) Novel Linearized Kinetic Modeling of Starch Hydrolysis. Chemical Science International Journal, 19 (3). pp. 1-7. ISSN 2456706X

[thumbnail of Amadi1932017CSIJ34116.pdf] Text
Amadi1932017CSIJ34116.pdf - Published Version

Download (226kB)

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.

Item Type: Article
Subjects: STM Open Academic > Chemical Science
Depositing User: Unnamed user with email admin@eprint.stmopenacademic.com
Date Deposited: 14 Jun 2023 12:30
Last Modified: 15 Jan 2024 04:36
URI: http://publish.sub7journal.com/id/eprint/332

Actions (login required)

View Item
View Item