2011
DOI: 10.1016/j.lwt.2010.06.005
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Process optimization for aqueous extraction of reducing sugar from cashew apple bagasse: A potential, low cost substrate

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Cited by 24 publications
(22 citation statements)
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“…Juice extraction and sugar recovery increase with reduced roll gap, but tighter crushing leads to more frequent blockage in the mill. Sugar recovery has been shown to increase by shredding the stalks before crushing and by adding water during the squeezing process [8]. …”
Section: Introductionmentioning
confidence: 99%
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“…Juice extraction and sugar recovery increase with reduced roll gap, but tighter crushing leads to more frequent blockage in the mill. Sugar recovery has been shown to increase by shredding the stalks before crushing and by adding water during the squeezing process [8]. …”
Section: Introductionmentioning
confidence: 99%
“…We present here a water extraction method similar to that which has been used for sugar extraction from sugar beets, cashew apple bagasse, and carob [8-10]. Extraction of sugar from each agricultural source requires unique operating conditions developed based on sugar and water content, fiber structure and composition, and geometric size.…”
Section: Introductionmentioning
confidence: 99%
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“…On the other hand, in many cases, it is difficult to quickly find suitable extraction conditions for a given task. To solve the problem, various types of experimental designs have been employed, such as Plackett–Burman design 34, central composite design 35, orthogonal design 36 and Box–Behnken design 37. Lately in 2010, experimental design was adopted to optimize the DLLME conditions and then followed by nonaqueous CE procedure for the determination of fluoroquinolone antibiotics in waters 38.…”
Section: Introductionmentioning
confidence: 99%
“…If the p value of lack of fit for the model is significant (p value<0.05), then other process orders would be needed to fit the data. The p values also indicate the interaction strength between each independent variable (Kuila et al 2010), besides being used to check the significance of each coefficient. The smaller the p values, the larger are the significance of the corresponding variables (Cui et al 2006).…”
Section: Discussionmentioning
confidence: 99%