Optimization of Adsorption of Aromatic Amino Acid by Response Surface Methodology

Autor: Liu Yuehui, Wang Yuanxiu, Chun-Jiang Ye, Naxin Sun
Rok vydání: 2017
Předmět:
Zdroj: DEStech Transactions on Computer Science and Engineering.
ISSN: 2475-8841
DOI: 10.12783/dtcse/csma2017/17362
Popis: To produce oligopeptides with high Fisher ratio from the corn gluten meal, the optimal conditions were investigated to absorb aromatic amino acids in the form of free amino acids or peptides in the hydrolysate of corn protein. Response surface methodology was applied to optimize the adsorption conditions, including concentration of NaOH, the concentration of activated carbon and reaction temperature. The highest adsorption rate (50.40%) was obtained at concentration of NaOH at 5.53%, temperature at 24.56°C, concentration of activated carbon at 0.10g/mL, which was in agreement with the predicted value (51.41%) estimated by response surface methodology within a 95% confidence interval. In addition, the final adsorption solution was analyzed by using high performance liquid chromatography to evaluate the kinds and amounts of amino acids in it. The result revealed that Phe was 30.00 mg/100mL, Tyr was 20.98 mg/100mL,and Trp was 4.93 mg/100mL, and the content of aromatic amino acids accounted for 91.82% of the total amino acids. These results support that the aromatic amino acids could be effectively absorbed by the activated carbon under the appropriate conditions, which would contribute to a lot in the process of preparation of high Fischer ratio oligopeptides from corn gluten meal.
Databáze: OpenAIRE