- Open Access
Kinetic study of batch and fed-batch enzymatic saccharification of pretreated substrate and subsequent fermentation to ethanol
© Gupta et al; licensee BioMed Central Ltd. 2012
- Received: 10 January 2012
- Accepted: 20 March 2012
- Published: 20 March 2012
Enzymatic hydrolysis, the rate limiting step in the process development for biofuel, is always hampered by its low sugar concentration. High solid enzymatic saccharification could solve this problem but has several other drawbacks such as low rate of reaction. In the present study we have attempted to enhance the concentration of sugars in enzymatic hydrolysate of delignified Prosopis juliflora, using a fed-batch enzymatic hydrolysis approach.
The enzymatic hydrolysis was carried out at elevated solid loading up to 20% (w/v) and a comparison kinetics of batch and fed-batch enzymatic hydrolysis was carried out using kinetic regimes. Under batch mode, the actual sugar concentration values at 20% initial substrate consistency were found deviated from the predicted values and the maximum sugar concentration obtained was 80.78 g/L. Fed-batch strategy was implemented to enhance the final sugar concentration to 127 g/L. The batch and fed-batch enzymatic hydrolysates were fermented with Saccharomyces cerevisiae and ethanol production of 34.78 g/L and 52.83 g/L, respectively, were achieved. Furthermore, model simulations showed that higher insoluble solids in the feed resulted in both smaller reactor volume and shorter residence time.
Fed-batch enzymatic hydrolysis is an efficient procedure for enhancing the sugar concentration in the hydrolysate. Restricting the process to suitable kinetic regimes could result in higher conversion rates.
- Enzymatic hydrolysis
- Kinetic model
- Delignified substrate
Production of cellulosic ethanol from lignocellulosic biomass represents a potential alternative to the petroleum fuel due to its renewable nature and sustainable availability. Currently, the major strategy used for cellulosic ethanol production includes three main steps i.e., biomass pretreatment, enzymatic hydrolysis and ethanol fermentation [1, 2]. The enzymatic hydrolysis contributes significantly to the cost of cellulosic ethanol and from the process economics perspective, the improvement in the enzymatic hydrolysis step is a prerequisite [3, 4]. The main obstacles for enzymatic hydrolysis are low rate of reaction, high cost of enzyme, low product concentration and lack of understanding of cellulase kinetics on lignocellulosic substrates [5, 6]. One way to overcome this problem is to operate the enzymatic hydrolysis using high insoluble solid consistency [7–9]. However, the saccharification reaction at high insoluble solid consistency will have to encounter the problems of increased viscosity, higher energy requirement for mixing, shear inactivation of cellulases, and poor heat transfer due to rheological properties of dense fibrous suspension [9, 10].
Interestingly in fed-batch enzymatic hydrolysis such problems could be avoided by adding the substrate and/or enzymes gradually to maintain the low level of viscosity . The fed-batch enzymatic saccharification process has several other economic advantages over conventional batch process such as lower capital cost due to reduced volume, lower operating costs and lower down-stream processing cost due to higher product concentration [6, 7]. There are several reports on fed-batch enzymatic saccharification which mainly deal with the development of appropriate kinetic models for mechanistic description of the phenomena [9, 12, 13]. However, the reports on process operation, optimization and control for fed-batch enzymatic saccharification are scarce . Till date, the strategies used for fed-batch enzymatic saccharification are categorized into three main groups i.e., (i) to recycle enzyme; (ii) fed-batch SSF to mitigate inhibitory effect and (iii) fed-batch saccharification to increase the cumulative substrate in a reactor . Here, the present study falls within the third category and our main emphasis was to enhance the total solid content and sugar concentration, which eventually resulted in higher ethanol production.
The experimental data on cellulose hydrolysis by cellulases point to various bottlenecks that decrease the rate of conversion. Mathematical modeling of the enzymatic hydrolysis process is an important tool for analyzing these bottlenecks . Use of mathematical modeling can lead to several advantages viz. the effect of feeding profiles on sugar conversion can be evaluated apriori, kinetics of the hydrolysis process can be studied and process simulations can be made to understand the kinetic regimes. Recently, Hodge and colleagues  have used model based fed-batch approach to develop a feeding profile for the fed-batch enzymatic saccharification, while, Morales-Rodriguez and coworkers  used a modeling approach to reduce the amount of enzyme during the fed-batch enzymatic saccharification.
The present study deals with the development of the feeding profile and a mathematical model for the understanding of the enzymatic saccharification kinetics in a stirred tank reactor (STR). Moreover, the hydrolysates obtained after batch and fed-batch enzymatic hydrolysis has subsequently been fermented to ethanol, and an overall comparison between batch and fed-batch process has been presented.
Kinetics of batch and fed-batch enzymatic hydrolysis
Kinetics of fed-batch enzymatic hydrolysis
Comparison between batch and fed-batch enzymatic hydrolysis
Simulation of kinetic model
Fermentation of enzymatic hydrolysate
The main aim of the present investigation was to achieve high ethanol concentration as the final ethanol concentration in the fermentation broth is critical to make a cost-effective ethanol production process. Since the ethanol concentration is directly proportional to the sugar concentration, hence high concentration sugar syrup is a prerequisite. In the present study, the process modeling consisting of mass balance and kinetic models were used to provide insights into the process performance and to optimize the process for enhanced enzymatic hydrolysis. During the batch saccharification at different consistencies, a regular decrease in the rate constant with increase in the substrate concentration was observed (Figure 1) and the reaction was assumed to be a first order reaction. This decrease in rate may be attributed to the product inhibition, improper heat and mass transfer and the thermal deactivation of enzymes [7, 12]. The difference between the experimental values and those predicted through simulation for our batch experiments at 20% insoluble solid consistency may be attributed to the same reasons (Figure 2d).
To overcome this problem in batch operation, fed-batch enzymatic hydrolysis was implemented. This approach exploits the property of cellulose solubilization during the enzymatic hydrolysis to increase the solid loading to the reactor, which otherwise would be difficult to handle if the entire insoluble solid was added initially. Interestingly, considering the fact that there are two phases present in the slurry, in the present study, the cellulose conversion has been mentioned in terms of g/L of actual liquid present in the slurry, which was a major pit fall in the earlier report , who reported the conversion in terms of g/Kg of total slurry. The later was further amended by correcting the measurement of glucose in the liquid phase (which may represent only 80-90% of the total mass of the slurry) for the content of insoluble solids in order to accurately estimate conversion .
The present study demonstrated that fed-batch hydrolysis resulted in higher solid saccharification with high saccharification yield. The results in the (Figures 4a and 4b) depicted a final sugar concentration of 127 g/L with ~64% cellulose conversion, which was significantly higher than the cellulose conversion at batch operation (S4,0 = 20%). It is estimated that an increase in solid substrate consistency from 5 to 8% in simultaneous saccharification and fermentation process (SSF) reduced the process cost by 19% . While according to report by National Renewable Energy Laboratory (NREL), Department of Energy (DOE), US, an increase in solid consistency from 20 to 30% can reduce the minimum ethanol selling price by $0.10/gallon ethanol . Therefore, the high final sugar concentrations obtained in this work may lead to an economically competitive process.
Comparison of the accuracy of the model prediction validated that a well-designed fed-batch approach could be used to allow an STR reactor capable of handling pretreated P. juliflora at below than 10% insoluble solids to operate at cumulative initial insoluble solids as high as the set goal of 20% (Figure 5). Moreover such validation are also in accordance with the earlier reports of Hodge and coworkers , according to whom, using fed-batch strategy the STR, was able to achieve very high cumulative solid loading (S4,0 = 20%), thus improving its working capability. In addition, the model may also be used to determine a fed-batch feeding policy required to maintain proper mixing and temperature control necessary for high cumulative insoluble solids.
The fermentation of the enzymatic hydrolysate obtained from batch and fed-batch operation also indicates the significance of the study. The fermentation of enzymatic hydrolysate from fed-batch operation brought about approximately 50% and 40% increment in the ethanol concentration and the ethanol productivity, respectively. As there have been estimations that by doubling the ethanol concentration from 2.5 to 5%, the energy required to distill a fermentation broth to 93.5% ethanol using conventional distillation techniques can be reduced by 33% . The enhanced ethanol concentration and productivity from fed-batch operation also made the process more industrially realistic.
To produce higher concentration sugar syrup and subsequently the high ethanol concentration, fed-batch enzymatic saccharification was conducted with the pretreated P. juliflora. Through the fed-batch process, the cumulative solid loading (S c ) up to 20% in a stirred tank reactor increased the sugar released by 56% compared to the batch process with an initial insoluble solid loading of 20%. This model used here provided additional insight into the effect of the operational conditions on productivity. This may be refined by including the degree of polymerization of substrate, accessible cellulose fraction, crystallinity of substrate and enzyme adsorption to distinguish the various causes of the decreasing rate of reaction.
Raw material and chemicals
Prosopis juliflora wood, collected from University of Delhi South Campus, New Delhi, India, was comminuted by a combination of chipping and milling to attain a particle size of 1-2 mm using a laboratory knife mill (Metrex Scientific Instrumentation, Delhi, India). The processed wood of P. juliflora was delignified with 4% sodium chlorite at 120 C for 30 minutes as described earlier .
Commercial cellulases and 3,5-di nitro salicylic acid (DNS) were purchased from Sigma (St. Louis, Missouri, U.S.A.). Ethanol was purchased from Merck (Darmstadt, Germany). Rest of the chemicals and media components of highest purity grade were purchased locally.
Microorganism and culture conditions
The yeast Saccharomyces cerevisiae HAU procured from the culture collection of C.C.S. Haryana Agricultural University, Hisar, Haryana, India was maintained on agar slants containing (g/L): glucose, 30.0; yeast extract, 3.0; peptone, 5.0; agar, 20.0 at pH 6.0 ± 0.2 and temperature 30°C, as described earlier [1, 8]. While the S. cerevisiae inoculum was grown for 24 h at 30°C in a culture medium containing (g/L): glucose, 30.0; yeast extract, 3.0; peptone, 5.0; (NH4)2HPO4, 0.25 at pH 6.0 ± 0.2 [1, 19]. Cells were cultured to an absorbance of 0.6-0.8 at 600 nm.
Batch enzymatic hydrolysis
Enzymatic hydrolysis of pretreated substrate was carried out at different substrate consistency (5-20% w/v) in 0.05 M citrate phosphate buffer (pH 5.0) in a 3.0 L stirred tank bioreactor (Scigenics Pvt. Ltd, Chennai, India) fitted with Rushton impellors, heating jacket and heat exchangers for proper agitation and temperature control. Before enzyme loading, slurry was acclimatized by incubating at 50°C at 150 rpm for 2 h. Thereafter, an enzyme (lyophilized) dosage of 22 Filter paper cellulase activity (FPU)/g dry substrate (gds), 68 U β-glucosidase/gds was added to preincubated cellulose slurry, and reaction was continued for 48 h. One percent Tween 80 and 1 mM CuCl2 were also added to facilitate the enzymatic reaction. The samples were withdrawn at regular intervals, centrifuged at 10,000 rpm for 10 min and the supernatants were used for further analysis.
Fed-batch enzymatic hydrolysis
Fed-batch enzymatic saccharification of pretreated substrate was carried out in the same bioreactor with an initial substrate consistency of 5% (w/v) in the suspension. Before enzyme loading, the slurry was acclimatized by incubating at 50°C at 150 rpm for 2 h. Thereafter, an enzyme dosage of 22 FPU/gds and 68 U β-glucosidase/gds, 1% Tween 80 and 1 mM CuCl2 was added to preincubated cellulose slurry. The equal amount of initial substrate and half of the initial enzyme (lyophilized) was added to the enzymatic suspension thrice after 24, 56 and 80 h to get a final substrate concentration of 200 g/L. The samples were withdrawn at regular intervals, centrifuged at 10,000 rpm for 10 min and the supernatant was subjected to sugar estimation. After incubation, the hydrolysate was harvested, centrifuged to remove the un-hydrolyzed residues and the filtrate was used for fermentation studies.
Fermentation of enzymatic hydrolysate
The fermentation studies of both the enzymatic hydrolysates from batch operation (S4,0 = 20%) and fed-batch operation (S c = 20%) were carried out. The batch and fed-batch enzymatic hydrolysates containing 37 g/L and 120 g/L sugars, respectively, supplemented with 3 g/L yeast extract and 0.25 g/L (NH4)2HPO4, were inoculated with 6% (v/v) S. cerevisiae. The fermentation was carried out at 30°C, 200 rpm and initial pH 6.0 ± 0.2. Aeration of 0.4 vvm was maintained throughout the study. The pH was adjusted with 2 N HCl and 2 N NaOH. The samples withdrawn were centrifuged at 10,000 rpm for 10 min at 4°C and the cell free supernatant was used for the determination of ethanol produced and sugar consumed.
Kinetics and theoretical aspects of batch and Fed-batch enzymatic hydrolysis
Mass balance equation for prediction of fed-batch capabilities
Where S is the final insoluble solid concentration and S F is the concentration of solids fed. The cumulative insoluble solid (S c ) is the sum of the total amount of insoluble solids present initially and the amount of substrate fed to the reactor. It would represent the level of solid that would be present if the entire solid were added initially and the reactor was operated in batch mode to enable comparison of fed-batch performance with the batch reactor performance on an equivalent basis.
Fed-batch saccharification model simulation
Using this algorithm, fed-batch feeding policies were developed by generating a set of feeding curves over various reactor solids concentration and initial conditions generated to determine within the theoretical physical limitation of the system and the potential for using a fed-batch approach.
The cellulase activities were determined following International Union of Pure and Applied Chemistry (IUPAC) methods . The hydrolysates were analysed using high performance liquid chromatography (HPLC) (Waters, USA) for the presence of carbohydrates. Carbohydrate-ZX (Agilent Technologies, USA) column (300.0 × 7.8 mm) was used with Milli-Q water as an eluent with flow rate of 1.0 mL/min keeping oven temperature at 30 C with RID detector. Ethanol was estimated by gas chromatography (GC) (Perkin Elmer, Clarus 500) with an elite-wax (cross bond-polyethylene glycol) column (30.0 m × 0.25 mm), at oven temperature 90°C and flame ionization detector (FID) at 200°C. Nitrogen with a flow rate of 0.5 mL min-1 was used as carrier gas.
The authors are thankful to Department of Biotechnology, Government of India, New Delhi, Council of Scientific and Industrial Research, New Delhi, India and University of Delhi, Delhi, for the financial support.
- Gupta R, Sharma KK, Kuhad RC: Separate hydrolysis and fermentation (SHF) of Prosopis juliflor a, a woody substrate, for the production of cellulosic ethanol by Saccharomyces cerevisiae and Pichia stipiti s-NCIM 3498. Bioresour Technol 2009, 100: 1214-1220. 10.1016/j.biortech.2008.08.033View ArticleGoogle Scholar
- Kuhad RC, Gupta R, Khasa YP: Bioethanol production from lignocellulosics: an overview. In Wealth from waste. Edited by: Lal B, Sharma PM. New Delhi, India: Teri press; 53-106.Google Scholar
- Galbe M, Zacchi G: A review of the production of ethanol from softwood. Appl Microbiol Biotechnol 2002, 59: 618-628. 10.1007/s00253-002-1058-9View ArticleGoogle Scholar
- Lynd LR, Laser MS, Bransby D, Dale BE, Davison B, Hamilton R, et al.: How biotech can transform biofuels. Nat Biotechnol 2008, 26: 169-172. 10.1038/nbt0208-169View ArticleGoogle Scholar
- Bansal P, Hall M, Realf MJ, Lee JH, Bommarius AS: Modeling cellulase kinetics on lignocellulosic substrates. Biotechnol Adv 2009, 27: 833-848. 10.1016/j.biotechadv.2009.06.005View ArticleGoogle Scholar
- Zheng Y, Pan Z, Zhang R, Jenkins BM: Kinetic modeling for enzymatic hydrolysis of pretreated creeping wild ryegrass. Biotechnol Bioeng 2009, 102: 1558-1569. 10.1002/bit.22197View ArticleGoogle Scholar
- Hodge DB, Karim MN, Schell DJ, McMillan JD: Model-based fed-batch for high-solids enzymatic cellulose hydrolysis. Appl Biochem Biotechnol 2009, 152: 88-107. 10.1007/s12010-008-8217-0View ArticleGoogle Scholar
- Kuhad RC, Gupta R, Khasa YP, Singh A: Bioethanol production from Lantana camara (red sage): Pretreatment, saccharification and fermentation. Bioresour Technol 2010, 10: 8348-8354.View ArticleGoogle Scholar
- Chandra RP, Au-Yeung K, Chanis C, Roos AA, Mabee W, Chung PA, Ghatora S, Saddler JN: The influence of pretreatment and enzyme loading on the effectiveness of batch and fed-batch hydrolysis of corn stover. Biotechnol Prog 2011, 27: 77-85. 10.1002/btpr.508View ArticleGoogle Scholar
- Kristensen JB, Felby C, Jorgensen H: Yield-determining factors in high-solids enzymatic hydrolysis of lignocellulose. Biotechnol Biofuel 2009, 2: 11. 10.1186/1754-6834-2-11View ArticleGoogle Scholar
- Kuhad RC, Mehta G, Gupta R, Sharma KK: Fed batch enzymatic saccharification of newspaper cellulosics improves the sugar content in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisia e. Biomass Bioenergy 2010, 34: 1189-1194. 10.1016/j.biombioe.2010.03.009View ArticleGoogle Scholar
- Schell DJ, Farmer J, Newman M, McMillan JD: Dilute sulfuric acid pretreatment of corn stover in pilot-scale reactor. Appl Biochem Biotechnol 2003, 105-108: 69-85.View ArticleGoogle Scholar
- Kadam KL, Rydholm EC, McMillan JD: Development and validation of a kinetic model for enzymatic saccharification of lignocellulosic biomass. Biotechnol Prog 2004, 20: 698-705. 10.1021/bp034316xView ArticleGoogle Scholar
- Capron M, Huusom JK, Sin G: Controlled fed-batch operation for improving cellulose hydrolysis in 2 G bioethanol production. 20th European Symposium on Computer Aided Process Ebgineering-ESCAPE20 2010.Google Scholar
- Zhu Y, Malten M, Torry-Smith M, McMillan JD, Stickel JJ: Calculating sugar yields in high solids hydrolysis of biomass. Bioresour Technol 2011,2011(102):2897-2903.View ArticleGoogle Scholar
- Wingren A, Galbe M, Zacchi G: Techno-economic evaluation of producing ethanol from softwood: comparison of SSF and SHF and identification of bottlenecks. Biotechnol Prog 2003, 19: 1109-1117.View ArticleGoogle Scholar
- Aden A, Ruth M, Ibsen K, Jechura J, Neeves K, Sheehan J, Wallace B, Montague L, Slayton A, Lukas J: Lignocellulosic biomass to ethanol process design and economics utilizing co-current dilute acid prehydrolysis and enzymatic hydrolysis for corn stover. National Renewable Energy Laboratory Technical Report. NREL/TP-510-32438 2002.Google Scholar
- Gupta R, Khasa YP, Kuhad RC: Evaluation of pretreatment methods in improving the enzymatic saccharification of cellulosic materials. Carbohydr Polym 2011, 84: 1103-1109. 10.1016/j.carbpol.2010.12.074View ArticleGoogle Scholar
- Chen M, Xia L, Xue P: Enzymatic hydrolysis of corncob and ethanol production from cellulosic hydrolysate. Int Biodeter Biodeg 2007, 59: 85-89. 10.1016/j.ibiod.2006.07.011View ArticleGoogle Scholar
- Ghose TK: Measurement of cellulase activity. Pure Appl Chem 1987, 59: 257-268. 10.1351/pac198759020257Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.