2015
DOI: 10.15376/biores.10.4.7021-7037
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Optimization of [Amim]Cl Pretreatment Conditions for Maximum Glucose Recovery from Hybrid Pennisetum by Response Surface Methodology

Abstract: aBecause of a complex chemical ultra-structure of lignocellulosic biomass, pretreatment is a necessary step for its conversion into bio-ethanol. In the present study, pretreatment conditions using the ionic liquid (IL) 1-allyl-3-methylimidazolium chloride ([Amim]Cl) were optimized for a relatively new model energy crop, hybrid Pennisetum (P. americanum × P. purpureum) to maximize the yield of fermentable sugars (glucose). The design of experiment programs employed a central composite design (CCD), with variabl… Show more

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Cited by 10 publications
(4 citation statements)
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References 31 publications
(47 reference statements)
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“…Experimental Design (ED) is an effective statistical approach to investigate and to optimize multivariate processes. To date, many types of LCB have been pretreated by RTILs and optimized by Response Surface Methodology (RSM) (Bajaj and Wani, 2011; Fu and Mazza, 2011b; Tan et al, 2011; Yoon et al, 2012; Lee et al, 2013; Sidik et al, 2013; Qiu et al, 2014; Singh et al, 2015; Wang et al, 2015; Li et al, 2017; Saha et al, 2017; Oliveira Ribeiro et al, 2018; Trinh et al, 2018). Only very few research groups have investigated the optimum conditions for RTIL-based pretreatment using another statistical design (Elgharbawy et al, 2017; Papa et al, 2017; Vergara et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Experimental Design (ED) is an effective statistical approach to investigate and to optimize multivariate processes. To date, many types of LCB have been pretreated by RTILs and optimized by Response Surface Methodology (RSM) (Bajaj and Wani, 2011; Fu and Mazza, 2011b; Tan et al, 2011; Yoon et al, 2012; Lee et al, 2013; Sidik et al, 2013; Qiu et al, 2014; Singh et al, 2015; Wang et al, 2015; Li et al, 2017; Saha et al, 2017; Oliveira Ribeiro et al, 2018; Trinh et al, 2018). Only very few research groups have investigated the optimum conditions for RTIL-based pretreatment using another statistical design (Elgharbawy et al, 2017; Papa et al, 2017; Vergara et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Generally. it is stated that R 2 higher than 0.90 is considered as the indication of the model high correlation 12 . The p-values of the parameters studies were mostly less than 0.01 .…”
Section: Resultsmentioning
confidence: 99%
“…As shown in Table 2, the model had a coefficient of variation below 10%, an R 2 (or called the coefficient of determination) and adjusted R 2 over 0.9, and an adequate precision (or called the signal/noise ratio) over 4. Therefore, the model should be acceptable, according to available reports on the response surface methodology study (Wang et al 2015b). Using the model, the optimum levels of hot-pressing temperature, hot-pressing duration, and adhesive dosage for preparing composites were determined and validated, which were 183 °C, 74 s/mm, and 312.5 g/m 2 , respectively (see experiment No.…”
Section: Model Development Of the Response Surface Methodology Studymentioning
confidence: 99%