Application of Response Surface Methodology to Optimize Alkali Concentration, Corn Stover Particle Size, and Extruder Parameters for Maximum Sugar Recovery

Karunanithy, Chinnadurai; Muthukumarappan, Kasiviswanathan

doi:10.5772/16459

Cited by 5 publications

(6 citation statements)

References 106 publications

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“…The reason for lower solid loss and delignification is due to the use of room temperature treatment, when compared to the above mentioned methods. The solid loss from big bluestem was in agreement with corn stover (15%) and prairie cord grass (20%) (Karunanithy and Muthukumarappan, 2010g;h). However, delignification from big bluestem was lower than that of corn stover (40%) and prairie cord grass (35%) soaked in a similar alkali concentration (Karunanithy and Muthukumarappan, 2010g;h).…”

Section: Discussionsupporting

confidence: 61%

“…This observation reveals that washing can be eliminated when alkali concentration is low enough, which is an added advantage of alkali soaking-extrusion pretreatment. Depending upon the alkali concentration and particle size, a sugar recovery of 35 to 45% was recorded, and the sugar range was in agreement with corn stover and prairie cord grass (Karunanithy and Muthukumarappan 2010g;h). However, the washed samples had lower sugar recovery (due to loss of sugar about 5-7%) than that of unwashed samples.…”

Section: Solid Loss and Washing Of Pretreated Big Bluestemmentioning

confidence: 54%

“…In general, high barrel temperature, screw speed, and alkali concentration would result in 69 to 99% glucose recovery from big bluestem. The maximum model predicted glucose recovery from big bluestem was lower than for corn stover, switchgrass, and prairie cord grass (Karunanithy and Muthukumarappan, 2009c;2010g;h), which might be due to differences in the characteristics of the biomasses. Fig.…”

Section: Effect Of Independent Variables On Sugar Recoverymentioning

confidence: 86%

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Optimization of alkali, big bluestem particle size, and extruder parameters for maxium enzymatic sugar recovery using response surface methodology

Karunanithy

Muthukumarappan

2011

BioRes

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Extrusion can be a viable continuous biomass pretreatment that industry can adopt readily due to its uniqueness (including pretreatment time less than 90 s) over other pretreatment methods. The current study was undertaken to evaluate the combined effect of alkali soaking and extrusion of big bluestem to improve the sugar recovery to nearly quantitative. In order to evaluate the combined effect of alkali soaking and extrusion on the performance of enzymatic saccharification, big bluestem (2-10 mm) was soaked in different alkali concentrations (0.5-2.5 % w/v NaOH) for 30 min at room temperature and then extruded using a lab scale single screw extruder at various barrel temperatures (45-225°C) and screw speeds (20-200 rpm). Statistical analyses confirmed that all the independent variables considered had a significant effect on sugar recovery. A proposed quadratic model to predict sugar recovery had high F and R2 values with a low p value, and adequately represented the relationship among the independent variables on sugar recovery. The optimum pretreatment condition found was the following: 90°C barrel temperature, 155 rpm screw speed, 2.0% alkali concentration, and 4 mm particle size resulted the maximum glucose, xylose, and combined sugar recovery of 90.1, 91.5, and 89.9%, respectively.

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Section: Discussionsupporting

confidence: 61%

Section: Solid Loss and Washing Of Pretreated Big Bluestemmentioning

confidence: 54%

Section: Effect Of Independent Variables On Sugar Recoverymentioning

confidence: 86%

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Optimization of alkali, big bluestem particle size, and extruder parameters for maxium enzymatic sugar recovery using response surface methodology

Karunanithy

Muthukumarappan

2011

BioRes

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“…Response surface methodology (RSM) is a statistical modeling technique that utilizes quantitative data from an appropriate experimental design to determine a multivariable equation in order to obtain an optimal response . RSM has been widely applied to various fields for parameters optimization including food processing and development, microbiology, biotechnology, and agriculture . The main advantage of RSM is the reduced number of experimental trials needed to evaluate multiple parameters and their interaction.…”

Section: Introductionmentioning

confidence: 99%

“…14 RSM has been widely applied to various fields for parameters optimization including food processing and development, microbiology, biotechnology, and agriculture. 15 The main advantage of RSM is the reduced number of experimental trials needed to evaluate multiple parameters and their interaction. Therefore, it requires less labor and time than other optimization approaches.…”

Section: Introductionmentioning

confidence: 99%

Optimization by response surface methodology of processing conditions for the ionic liquid pretreatment of energy cane bagasse

Qiu

Aita

Mahalaxmi

2013

J of Chemical Tech & Biotech

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BACKGROUND Ionic liquids are generally considered to be green solvents, and can be potential substitutes for traditional flammable and volatile solvents due to such suitable properties as low volatility, high thermal stability, non‐flammability, and good recyclability. This study aimed to optimize 1‐ethyl‐3‐methylimidazolium acetate ([EMIM][OAc]) pretreatment processing conditions by evaluating the effect of three pretreatment processing parameters (temperature, residence time and solids loading) on the enzymatic hydrolysis of [EMIM][OAc]‐treated energy cane bagasse via response surface methodology (RSM). RESULTS The model fitted by RSM indicated that a higher glucose yield of [EMIM][OAc]‐treated biomass could be obtained at higher pretreatment temperatures with shorter residence times within the design space. The optimal processing conditions were pretreatment of energy cane bagasse at 131.9°C for 28.1 min at 8.4% solids loading, resulting in a final glucose yield of 35.96 g glucose per 100 g of native biomass compared with the predicted value of 35.89. CONCLUSION The results suggest that this model can predict accurately the glucose yield within the specified design space. The model can also provide valuable insight to further industry application. © 2013 Society of Chemical Industry

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Modeling of Pretreatment Condition of Extrusion-Pretreated Prairie Cordgrass and Corn Stover with Poly (Oxyethylen)20 Sorbitan Monolaurate

Eckard

Muthukumarappan

Gibbons

2012

Appl Biochem Biotechnol

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Extrusion processing has shown potential to be used as a pretreatment method for second-generation bioethanol production. Furthermore, surfactants have been shown to reduce enzyme deactivation and increase the efficiency of hydrolysis. Therefore, a sequential pretreatment technique was developed for corn stover (CS) and prairie cordgrass (PCG) in which a single screw extruder was used for the first pretreatment according to a previously optimized condition using 70-180 °C for feed, barrel, and die zones with 65-155 rpm screw speed. The second pretreatment was optimized in this study at 45-55 °C, 1-4 h, 0.15-0.6 g Tween 20/g glucan according to response surface methodology. Optimization of surfactant pretreatment facilitated the estimation of interaction and higher-order effects for major factors involved in surfactant treatment (temperature, time, surfactant loading). Using 8.6 FPU/g glucan cellulase, the optimum conditions found by fitting appropriate quadratic models to the data increased glucose and xylose yield by 27.5 and 33% for CS and by 21.5 and 27% for PCG, respectively. Tween 20 concentrations and pretreatment temperature were the most significant factors affecting sugar yield (p value <0.05). Studies of SDS concentration at and beyond critical micelle concentration (5.2-100 mM) demonstrated a decrease in sugar yield compared to control.

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Application of Response Surface Methodology to Optimize Alkali Concentration, Corn Stover Particle Size, and Extruder Parameters for Maximum Sugar Recovery

Cited by 5 publications

References 106 publications

Optimization of alkali, big bluestem particle size, and extruder parameters for maxium enzymatic sugar recovery using response surface methodology

Optimization of alkali, big bluestem particle size, and extruder parameters for maxium enzymatic sugar recovery using response surface methodology

Optimization by response surface methodology of processing conditions for the ionic liquid pretreatment of energy cane bagasse

Modeling of Pretreatment Condition of Extrusion-Pretreated Prairie Cordgrass and Corn Stover with Poly (Oxyethylen)20 Sorbitan Monolaurate

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