Bioethanol production from sunflower stalk: application of chemical and biological pretreatments by response surface methodology (RSM)

Manmai, Numchok; Unpaprom, Yuwalee; Ramaraj, Rameshprabu

doi:10.1007/s13399-020-00602-7

Cited by 97 publications

(46 citation statements)

References 27 publications

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“…Similar results of raw cotton straw were reported in Dimos et al, 52 consisted of 37.9% cellulose, 14.7% hemicellulose, and 25.8% lignin. The hemicellulose and cellulose content of sunflower straw found in this study are similar to the values given in Manmai et al 38 The reason for the differences is that the composition of the lignocellulosic biomass changes depending on the place of growth, season, harvesting methods, and analysis procedures. 53 From Table 2, it is seen that wastes have low nitrogen content and high carbon content, which indicates that they are an efficient option in terms of energy production.…”

Section: Characterization Of Raw Materialssupporting

confidence: 89%

“…35 Response surface methodology (RSM) is a widely used statistical method used to model and analyze the effects of the selected independent variables on selected variables of response. [36][37][38] Various RSM designs aid by allowing restricted experimental studies to produce statistically significant outcomes. There are two submodels of RSM as Box-Benkhen design and central composite design.…”

Section: Introductionmentioning

confidence: 99%

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Statistical optimization of dilute acid pretreatment of lignocellulosic biomass by response surface methodology to obtain fermentable sugars for bioethanol production

et al. 2021

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Central composite design to optimize sugar recovery from cotton straw and sunflower straw using dilute acid pretreatment was applied. Selected input variables were acid concentration, retention time, and temperature, as well as the response parameter of sugar yield. The optimum pretreatment conditions observed for maximum sugar yield are temperature: 121.7 C, acid concentration: 2.28% (vol/vol), and time: 36.82 minutes for cotton straw; temperature: 87.03 C, and acid concentration: 3.68% (vol/vol), and time: 36.82 minutes for sunflower straw.Maximum sugar concentrations were corresponded to 20 and 17.5 g L −1 under conditions for sunflower and cotton straw, respectively. This study not only investigates the sugar recovery efficiency statistically but also examines the ethanol production efficiency. As a result, the maximum ethanol concentration, ethanol yield, and ethanol productivity of 7.21 g L −1 , 0.41 g g −1 , and 0.10 g L −1 h −1 for cotton straw and 8.05 g L −1 , 0.40 g g −1 , and 0.11 g L −1 h −1 for sunflower straw were achieved via fermentation with Saccharomyces cerevisiae, respectively. The output of this study is important for the commercialization of bioprocesses that enable the conversion of the lignocellulosic waste matrix into high value-added products in a biorefinery concept.

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Section: Characterization Of Raw Materialssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Statistical optimization of dilute acid pretreatment of lignocellulosic biomass by response surface methodology to obtain fermentable sugars for bioethanol production

et al. 2021

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“…50 mL of sample was withdrawn, poured in the condenser of Ebulliomter, and boiled until the stable temperature. The resulting temperature of the fermented sample was reached, compared to the boiling point of the distilled water using the Ebulliomter disc [19][20][21].…”

Section: Sugar Analysis and Alcohol Estimationmentioning

confidence: 99%

“…Comparatively, the lowgrade and damaged longan fruits achieved highest fermentable sugars by autoclaving pretreatment. Hydrolysis describes as the process of releasing sugars that are usually linked together in complex chains [31]. The hydrolysis process attacks the cellulose chains to produce more fermentable sugars.…”

Section: Longan Characteristics and Cultivation In Thailandmentioning

confidence: 99%

Improvement of Bioethanol Production From Low Grade and Damaged Longan Fruits With Thermal Pretreatment and Different Types of the Enzymatic Hydrolysis

Nguyen

Unpaprom

Chaichompoo

et al. 2020

Global J. Sci. Eng.

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Pretreatment is a vital step in the enzymatic hydrolysis of biomass and the successive production of bioethanol. The present study is focused on thermal pretreatment (boiling & autoclave) methods of low grade and damaged longan fruits using three different types of the enzymatic sources from commercial cellulase, an enzyme from algae and mixed enzymes (i.e., commercial cellulase with algal enzyme). Total sugar production after the hydrolysis process from commercial cellulase, the enzyme from algae and mixed enzymes were 326.41 ± 08.97 g/L, 348.68 ± 01.95 g/L and 368.42 ± 01.16 g/L, respectively. Reducing sugar after the hydrolysis process generated from commercial cellulase, the enzyme from algae and mixed enzymes was 182.54 ± 03.05 g/L, 183.33 ± 04.70 g/L and 297.78 ± 02.94 g/L, respectively. Fermentation of these hydrolysate using Saccharomyces cerevisiae TISTR 5020 produced the highest ethanol production from using commercial cellulase, the enzyme from algae and mixed enzymes was 16.74 ± 0.62 g/L, 5.38 ± 0.54 g/L and 14.32 ± 1.89 g/L, respectively. Consequently, this study suggested that suitable pretreatment and hydrolysis processes are performing a significant role in bioethanol production from low grade and damaged longan fruits.

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“…Response surface methodology (RSM) is a famous experimental design method for optimization. It is a mathematical system for statistical modeling of problems [9]. It is utilized to examine the interaction between the independent variable and the dependent variable [10].…”

Section: Introductionmentioning

confidence: 99%

Zeolite Used for Optimized Removal of Radioactive Cobalt with Response Surface Methodology

Çiçek

2021

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Radioactive cobalt is one of the most abundant radionuclides in radioactive waste. This study investigated the removal of radioactive cobalt (60Co) by adsorption with zeolite 3A and 5A from aqua solution. The response surface methodology was employed to constitute the predictive regression model to guess the decontamination factor for radioactive cobalt removal. The experimental maximum decontamination factor 30.37 and 15.9 were obtained for zeolite 3A and zeolite 5A, respectively. The calculated model was significant for both zeolite 3A and 5A (p<0.05). The predicted maximum decontamination factor was 30.05 and 15.19 in optimum conditions for zeolite 3A and zeolite 5A, respectively. Zeolite 3A has a higher adsorbent capacity than zeolite 5A for the removal of radioactive cobalt from aqueous solution.

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Bioethanol production from sunflower stalk: application of chemical and biological pretreatments by response surface methodology (RSM)

Cited by 97 publications

References 27 publications

Statistical optimization of dilute acid pretreatment of lignocellulosic biomass by response surface methodology to obtain fermentable sugars for bioethanol production

Statistical optimization of dilute acid pretreatment of lignocellulosic biomass by response surface methodology to obtain fermentable sugars for bioethanol production

Improvement of Bioethanol Production From Low Grade and Damaged Longan Fruits With Thermal Pretreatment and Different Types of the Enzymatic Hydrolysis

Zeolite Used for Optimized Removal of Radioactive Cobalt with Response Surface Methodology

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