2020
DOI: 10.1016/j.ijbiomac.2019.12.033
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Immobilization of fenugreek β-amylase onto functionalized graphene quantum dots (GQDs) using Box-Behnken design: Its biochemical, thermodynamic and kinetic studies

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Cited by 39 publications
(20 citation statements)
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“…The 11 BioMed Research International [46]. BBD is a diverse approach that involves answer optimization based on various variable methods, including mathematical and statistical methods [30]. BBD was utilized to optimize the culture conditions for α-amylase generation, and a value of 145.32 U/ml of amylase was obtained [47].…”
Section: Discussionmentioning
confidence: 99%
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“…The 11 BioMed Research International [46]. BBD is a diverse approach that involves answer optimization based on various variable methods, including mathematical and statistical methods [30]. BBD was utilized to optimize the culture conditions for α-amylase generation, and a value of 145.32 U/ml of amylase was obtained [47].…”
Section: Discussionmentioning
confidence: 99%
“…Yahya et al reported that conditions in fungal strain A. tubingensis SY1 extracellular amylase production were factually optimized using the Plackett-Burman equation, with the most significant variables of amylase production being peptone, agitation, and MgSO 4 ·7H 2 O followed by inoculum size [ 46 ]. BBD is a diverse approach that involves answer optimization based on various variable methods, including mathematical and statistical methods [ 30 ]. BBD was utilized to optimize the culture conditions for α -amylase generation, and a value of 145.32 U/ml of amylase was obtained [ 47 ].…”
Section: Discussionmentioning
confidence: 99%
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“…The analysis of variance (ANOVA) with a confidence level of 95% was also generated by Design Expert (Version 11) to test the significance of factors and the accuracy of models. For the Box–Behnken design, a quadratic model is selected to show the relationship between the factors and the response as the following format: y=c0+i=1mcixi+i=1mciixi2+i=1mj=1mcijxixj+c1where y, c0, ci, cii, cij, xi, xj, and c1 represent predicted responses, offset constant, coefficient of linear terms, coefficient of quadratic terms, coefficient of interaction terms, ith factor, jth factor, and the random error between predicted values and measured values, respectively [15]. RSM was applied for the numerical optimization of factors.…”
Section: Methodsmentioning
confidence: 99%
“…The positive ΔS observed for the immobilized enzyme (Table 3) is directly indicative of protein unfolding (greater disorder) during inactivation. [72][73] By contrast, the corresponding negative ΔS values for the free enzyme can be related to the formation of protein aggregates during inactivation as a result of denaturation. The aggregates are less disordered compared to the soluble proteins moving freely in the solution, hence the negative ΔS values.…”
Section: Ea (Kj Mol -1 )mentioning
confidence: 97%