Statistical modeling and optimization of reducing sugar production for enzymatic digestibility of bamboo grass by Box-Behnken design methodology

Autor: Benny Malengier, Yasin Ahmed, Hundessa Daba Nemomssa, Lieva Van Langenhove, Bulcha Belay Etana
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: JOURNAL OF ENVIRONMENTAL AND TOXICOLOGICAL STUDIES
ISSN: 2576-6430
Popis: Bamboo plants are plants that can grow quickly and easily, and is an abundant and renewable resource plants analogous to deciduous tree and conifer. In this study, bamboo species of Yushania alpina was pretreated with sodium hydroxide (NaOH) and hydrolyzed by dilute sulfuric acid to produce reducing sugar. Phenol-sulphur acid method was used to determine the response. Seventeen experimental runs were carried out at temperature range (110-128oC), concentration of H2SO4 range of (1-7%) and residence time range of (30-60 min) respectively. The effect of the parameters was measured by concentration of reducing sugar produced for each, and the optimization of glucose production was done by using Box-Behnken design methodology. The results reveal that, the temperature, concentration and time significantly affected the glucose production. At range of low temperature, concentration and time, the yield was decreased while at high value of factors the yield of reducing sugar increased. At 113.17oC, 3.43wt%, 33.65min and desirability of 0.71 the optimum reducing sugar of 19.9 found.
Databáze: OpenAIRE