The acid hydrolysis of sugarcane bagasse hemicellulose to produce xylose, arabinose, glucose and other products

Lavarack, B. P.; Griffin, Gregory; Rodman, David

doi:10.1016/s0961-9534(02)00066-1

Cited by 416 publications

(273 citation statements)

References 8 publications

Supporting

Mentioning

227

Contrasting

Unclassified

Order By: Relevance

“…The uncertainty class 1 and 2 correspond to 5% and 25% of variability of the default values, respectively. FS: Feedstock, PT: Pretreatment (Lavarack, Griffin, & Rodman, 2002)); EH: Enzymatic hydrolysis (Kadam, Rydholm, & McMillan, 2004); CF: Cofermentation (Krishnan, Ho, & Tsao, 1999). …”

Section: Discussionmentioning

confidence: 99%

“…To this end, the correlation matrix for the parameters for enzymatic hydrolysis was obtained from previous work (Sin, Meyer, & Gernaey, 2010), while for pretreatment and cofermentation models the parameter correlations were obtained by re-estimating model parameters on the basis of original publications (Krishnan, Ho & Tsao (1999) and Lavarack, Griffin & Rodman (2002), respectively). Subsequently, Monte-Carlo simulations were performed with the sampled parameter values (as illustrated in Figure 2), and the results in the form of key performance indices (KPI) were plotted as histograms (see Figure 4).…”

Section: Uncertainty Analysis Based On the Monte-carlo Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

A framework for model-based optimization of bioprocesses under uncertainty: Lignocellulosic ethanol production case

Morales-Rodríguez

Meyer

Gernaey

et al. 2012

Computers & Chemical Engineering

View full text Add to dashboard Cite

Abstract:This study presents the development and application of a systematic model-based framework for bioprocess optimization. The framework relies on the identification of sources of uncertainties via global sensitivity analysis, followed by the quantification of their impact on performance evaluation metrics via uncertainty analysis. Finally, stochastic programming is applied to drive the process development efforts forward subject to these uncertainties. The framework is evaluated on four different process configurations for cellulosic ethanol production including Simultaneous Further stochastic optimization demonstrated the options for further reduction of the production costs with different processing configurations, reaching a reduction of up to 28% in the production cost in the SHCF configuration compared to the base case operation. Further, the framework evaluated here for uncertainties in the technical domain, can also be used to evaluate the impact of market uncertainties (feedstock prices, selling price of ethanol, etc) and political uncertainties (such as subsidies) on the economic feasibility of lignocellulosic ethanol production.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Uncertainty Analysis Based On the Monte-carlo Proceduresmentioning

confidence: 99%

A framework for model-based optimization of bioprocesses under uncertainty: Lignocellulosic ethanol production case

Morales-Rodríguez

Meyer

Gernaey

et al. 2012

Computers & Chemical Engineering

View full text Add to dashboard Cite

show abstract

“…To overcome these problems, natural solid raw materials are replaced by soluble substrates that promote good growth and induction of enzyme production. Several examples of the extraction of xylooligosacharides by thermal treatment or with the aid of acidic or alkaline solutions have been reported (Pessoa Jr. et al, 1997;Sun et al, 2000;Lavarack et al, 2002;Kim et al, 2002;Abril et al, 2012). Therefore, in this study, barley straw hydrolysate was utilized as a soluble inducer for xylanase production from Penicillium canescens in batch and continuous culture.…”

Section: Introductionmentioning

confidence: 97%

Comparison between continuous and batch processing to produce xylanase by penicillium canescens 10-10c

Bakri

Akeed

Thonart

2012

Braz. J. Chem. Eng.

View full text Add to dashboard Cite

-Penicillium canescens 10-10c strain was cultivated on barley straw hydrolysate as a soluble nutrient source and as inducer for xylanase production. Barley straw hydrolysate was obtained by treatment of barley straw with NaOH or hot water. In shake flask cultures, NaOH treatment was found to increase the biomass production, but was not accompanied by an increase in xylanase production. The best xylanase production (54 U/ml) was observed on hydrolyzed extract from barley straw treated with hot water (100 ºC) for 3 hours. Enzyme production was further improved by scaling up the cultivation process to a 3-L stirred tank bioreactor. For batch cultivations in the bioreactor, the maximum xylanase productivity reached 1.31 and 0.46 U/ml/h, respectively, after 96 and 168 hours of cultivation. However, xylanase productivity reached 3.46 U/ml/h in the continuous culture. These results suggest that xylanase can be produced efficiently by Penicillium canescens 10-10c in continuous culture from an inexpensive source such as barley straw hydrolysate.

show abstract

“…Sugar cane hemicellulose is the second predominant fraction (23-30%), and it is composed of heteroxylans, with a predominance of xylose, which is configured in a chain that can be chemically hydrolyzed (Sun and Cheng, 2002;Ververis et al 2007). Diluted acid hydrolysis pretreatment of sugar cane bagasse allows the generation of a liquid phase (hemicellulose hydrolysate) rich in xylose, which can be used as substrate (buildingblock) for biotechnological and chemical processes (Lavarack et al 2002;Fogel et al 2005;Gámez et al 2006). The yeast Pichia stipitis is one of the best xylose-fermenting organisms to produce ethanol.…”

Section: Introductionmentioning

confidence: 99%

Sugar cane bagasse as feedstock for second generation ethanol production. Part II: Hemicellulose hydrolysate fermentability

Betancur¹,

Pereira²

2010

Electron. J. Biotechnol.

View full text Add to dashboard Cite

Sugar cane bagasse is produced in Brazil as waste of the sugar and ethanol industries. This lignocellulosic material is a potential source for second-generation ethanol production; however a pretreatment stage is essential, which aims at removing the hemicellulose component by disorganizing the lignocellulosic complex. In this work sugar cane bagasse was pretreated by diluted acid hydrolysis resulting in xylose-rich hydrolysates, which could be fermented to ethanol by a strain of the yeast Pichia stipitis. Statistical approach was used to investigate the effects of factors associated with the diluted acid hydrolysis process (acid concentration, solid:liquid ratio and time of exposure) on the fermentability of different hydrolysates. The statistical analysis was useful for determining the effects of the individual factors and their interactions on the response variables. An acid concentration of 1.09% (v/v), a solid:liquid ratio of 1:2.8 (g:ml), and an exposure time of 27 min were established and validated as the optimum pretreatment conditions for ethanol production from hemicellulose hydrolysates of sugar cane bagasse. Under these conditions, a hydrolysate with 50 g/l of xylose, 6.04 g/l of acetic acid, 0.55 g/l of hydroxylmethylfurfural and 0.09 g/l of furfural was obtained and its fermentation yielded roughly 20 g/l of ethanol in 40 hrs.

show abstract

The acid hydrolysis of sugarcane bagasse hemicellulose to produce xylose, arabinose, glucose and other products

Cited by 416 publications

References 8 publications

A framework for model-based optimization of bioprocesses under uncertainty: Lignocellulosic ethanol production case

A framework for model-based optimization of bioprocesses under uncertainty: Lignocellulosic ethanol production case

Comparison between continuous and batch processing to produce xylanase by penicillium canescens 10-10c

Sugar cane bagasse as feedstock for second generation ethanol production. Part II: Hemicellulose hydrolysate fermentability

Contact Info

Product

Resources

About