2017
DOI: 10.1016/j.jiec.2017.03.018
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Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models

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Cited by 33 publications
(28 citation statements)
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“…The significantly high biomass to glucose recovery ( Figure 3) at this pretreatment condition further confirms its effectiveness. Yoo et al [35] reported that the optimal pretreatment condition is where the biomass to glucose recovery value is high, and close to the initial glucan content in the biomass. The decrease in hydrolysis efficiency and glucose concentration of the peel biomass pretreated with the H 3 PO 4 concentrations of 80% and above is attributed to the sugar degradation during the pretreatment process (Figure 1a,b).…”
Section: Discussionmentioning
confidence: 97%
“…The significantly high biomass to glucose recovery ( Figure 3) at this pretreatment condition further confirms its effectiveness. Yoo et al [35] reported that the optimal pretreatment condition is where the biomass to glucose recovery value is high, and close to the initial glucan content in the biomass. The decrease in hydrolysis efficiency and glucose concentration of the peel biomass pretreated with the H 3 PO 4 concentrations of 80% and above is attributed to the sugar degradation during the pretreatment process (Figure 1a,b).…”
Section: Discussionmentioning
confidence: 97%
“…Highly severe conditions may decrease the glucose yield and subsequently lead to low bioethanol yield. Consequently, the maximum glucose should be recovered at the optimum pretreatment condition(s) for fermentation into bioethanol [31].…”
Section: Resultsmentioning
confidence: 99%
“…This phenomenon might be attributed to the significant decrease in total solid, including glucan, at high NaOH concentrations in this study (Figure 1). The optimum pretreatment condition(s) for improving the efficiency of enzymatic hydrolysis may be severe enough to reduce glucose recovery due to a decrease in total solid [31]. Low solid recovery, which significantly affects the sugar recovery during enzymatic hydrolysis, is of great concern, especially under severe pretreatment condition(s) [36].…”
Section: Resultsmentioning
confidence: 99%
“…The model quality was evaluated by the coefficients of determination (R 2 ) and the analysis of variances (ANOVA). The quadratic response surface model was fitted by following Equation (1):Y=β0+i=14βiXi+i=14βiiXi2+i=13j=14βijXiXj where Y is the response factor (DAP conversion), X i and X j are the i th and j th independent factor, respectively; β 0 is the intercept; β i is the first order model coefficients; β ii is the quadratic coefficients for the factor i ; β ij is the linear model coefficient for the interaction between factors i and j [23,24,25].…”
Section: Methodsmentioning
confidence: 99%