- Open Access
Bioethanol production from rice straw by simultaneous saccharification and fermentation with statistical optimized cellulase cocktail and fermenting fungus
Bioresources and Bioprocessing volume 5, Article number: 16 (2018)
Rice straw is one of the abundant lignocellulosic biomass with potential as a feedstock for bioethanol production. To produce ethanol from the biomass biologically, enzymatic hydrolysis is necessary that can effectively degrade rice straw into fermentable sugars such as glucose and xylose. Many researches utilized many kinds of commercial cellulase reagents on the hydrolysis of cellulose. Since these have different enzyme activities, enzyme reagents suitable for each biomass must be selected. In this study, three appropriate cellulase reagents were selected by multivariate analysis technique and then optimized by design of experiments method for efficient hydrolysis of alkali-pretreated rice straw. Moreover, an ethanol production from the treated straw was performed by simultaneous saccharification and fermentation (SSF) with the optimized enzyme cocktail and xylose-fermenting fungus of Mucor circinelloides.
Pretreatment by alkali solution of rice straw resulted in the increase of fermentable sugar content from 56.3 to 80.0%. The desirable commercial enzyme reagents for saccharification of the straw were determined as a combination of “Cellulase Onozuka 3S”, “Cellulase T Amano 4”, and “Pectinase G Amano” by a multivariate analysis based on various cellulolytic activities of each reagent. The optimum mixing ratio was calculated by response surface method based on design of experiment method. The optimized cocktail successfully achieved 75.3 g/L in production of the total fermentable sugar by hydrolysis of alkali-treated rice straw that agreed with the hydrolysis efficiency of 94.1%. SSF of 100 g/L treated rice straw with the optimal cocktail and M. circinelloides under aerobic condition resulted in 30.5 g/L ethanol concentration for 36 h.
The construction of cellulase cocktail by the proposed statistical method enabled efficient hydrolysis of alkali-treated rice straw. SSF process combining the optimized cocktail and a xylose-fermenting fungus could be expected as a promising system for ethanol production from various lignocellulosic biomasses.
Bioethanol produced from lignocellulosic biomass is kept attracting global attention as alternative energy for oil fuel for sustainable energy society, since depletion of fossil fuel, global warming, and reduction of natural resources has been increased concern (Chandra et al. 2012). Lignocellulosic biomass is arises from agricultural, forestry, and industrial waste. Rice straw is one of the agricultural waste caused from rice cropping and is a hopeful feedstock for bioethanol production, because cellulose and hemicellulose content is more than 50%. Although there are many researches about ethanol production from rice straw (Binod et al. 2010), manufacture process of the ethanol has not been realized yet because of high cost for collection and preservation from rice field ridge, fine-powderization and dissolution, fermentation system, etc. Development of effective ethanol production system from abundant biomass such as rice straw is an urgent necessity for novel energy supply.
Rice straw has heterogeneous complex structure in which hard cellulose fiber due to the crystal structure and entangled lignin and hemicellulose is contained. In the bioconversion to ethanol from lignocellulose, pretreatment by physical and/or chemical method is necessary to break the strong structure and obtain fermentable sugars easily by biocatalyst such as cellulase, xylanase, ligninase, etc. Many researches have performed physical and chemical processing for pretreatment of lignocelluloses (Binod et al. 2010). The physical treatment includes steaming (Wang et al. 2011), steam explosion (Liu et al. 2014 and Sasaki et al. 2012), grinding and milling (Jin and Chen 2006), and irradiation (Marx et al. 2014). The chemical treatment includes alkali (Gáspár et al. 2007), acid (Nair et al. 2017), and ammonia treatment (Kim and Lee 2007). Especially, among the chemical treatments, alkali treatments using NaOH, KOH, CaOH, and Na2CO3 are more effective than other chemical treatments, because it is able to break the ester bonds between lignin, hemicellulose, and cellulose, so that lignin and a part of hemicellulose are concurrently removed (Gáspár et al. 2007; Khaleghian et al. 2015). Moreover, the pretreatment was able to reduce excessive degradation to furfural, 5-HMF, and vanillin more than acid treatment. These reactions result in cellulose fiber swelling and improve of cellulase contact to the fiber. After pretreatment, biomass requires enzymatic hydrolysis on bioethanol production process. There are many kinds of hydrolysis enzyme reagent worldwide and any pretreated biomass demand the own reagents suitable for effective hydrolysis. However, few researches have performed both selection of the reagents and determination of the mixing ratio statistically, whereas hydrolysis conditions have been mentioned by statistical optimization method (Singh and Bishnoi 2012). The selection of appropriate cellulase is very difficult because of structural difference of each biomass and difference of enzymatic activities in commercial cellulase reagents.
The fungus Mucor circinelloides J used in this study is a mutant constructed by carbon ion-beam irradiation to improve xylose fermentation. Mucor sp. of parental strain is known as ethanol-producing fungus which is able to ferment not only glucose but also xylose and other monosaccharides included N-acetyl glucosamine (Millati et al. 2005; Takano and Hoshino 2012; Inokuma et al. 2013). Moreover, it was characterized the ability to grow and ferment simultaneously under aerobic and anaerobic conditions. As lignocellulosic biomass such as rice straw contains a great deal of xylose, use of xylose-fermenting microorganism is necessary to achieve efficient ethanol production from such materials. The strain is also able to slightly secrete cellulase (endo-β-glucanase, cellobiohydrolase, β-glucosidase) and xylanase (endo-β-xylanase, β-xylosidase) (Kato et al. 2013) and directly grow on polysaccharides. Furthermore, it has tolerance for fermentation inhibitors such as furfural and 5-HMF produced by pretreatment with high temperature and pressure.
In this study, ethanol production was investigated by performing simultaneous saccharification and fermentation (SSF) of rice straw pretreated by alkali with thermal method. To hydrolyze the substrate to fermentable sugar in the process, some desirable commercial enzyme reagents were selected based on regression analysis using enzymatic activities, and then, mixing ratio of them was optimized the design of experiments (DOE) with response surface method (RSM). The optimized enzyme cocktail was used in bioconversion of alkali-treated rice straw to fermentable sugar and subsequent ethanol by SSF system with M. circinelloides.
Rice straw was obtained from a high-yielding rice harvested at Nanto-city of Toyama in Japan. It was air-dried, cut in about 2 cm with scissors, and pulverized using a BLENDER 7011HB (WARING COMMERCIAL, USA) prior to pretreatment. Components in rice straw that are cellulose, hemicellulose, lignin, acid-soluble lignin, and ash were assayed by Klason lignin method (López et al. 2010).
Commercial enzyme reagents
Hydrolysis of rice straw was carried out with commercial food-processing cellulase reagents. The reagents were of 15 kinds as follows; Meicelase (Meiji Seika Pharma, Japan), Cellulase T “Amano 4”, Cellulase A “Amano 3”, Pectinase G “Amano”, Hemicellulase “Amano 90” (Amano Enzyme, Japan), Cellulase Y-NG, Cellulase “Onozuka 3S”, Cellulase “Onozuka R-10” (Yakult Pharmaceutical Industry, Japan), Sumizyme AC, Sumizyme X, Sumizyme SNX (Shin-Nihon Kagakukogyo, Japan), Cellulase Trichoderma viride and Novozyme 188 (Sigma-Aldrich Co., St Louis, MO), Accellerase 1500® (DuPont, DE, USA), and Vecelex (Godo-Shusei, Japan). Protein content of each cellulase was determined by Lowry method (Lowry et al. 1951).
Microorganism for ethanol production
Mucor circinelloides J was used as a fermenting fungus in this study. The fungus is a mutant of Mucor circinelloides NBRC4572 (Takano and Hoshino 2012; Kato et al. 2013; Inokuma et al. 2013; Komeda et al. 2014) constructed by carbon ion-beam irradiation (Wakaswan Energy Research Center, Fukui, Japan). Then, it was bred for efficient ethanol production from both glucose and xylose. The mutant was pre-cultured for 3 days at 28 °C on Difco™ Potato Dextrose Agar (PDA) plate after inoculation from PDA slant stored at 4 °C.
Pretreatment of rice straw by alkali solution
Rice straw was soaked in 1 M NaOH solution at the concentration of 80 g-dry straw/L-NaOH(aq) overnight at room temperature and then thermally treated by autoclave at 121 °C for 1 h (Janker-Obermeier et al. 2012). The treated material was neutralized by 1 M HCl solution after cooling and then washed thoroughly by water several times. The washed material was dried in oven at 50 °C until completely dried and then powdered using a pulverizer (BLENDER 7011 HB).
Optimization of cellulase reagent
Some cellulase reagents for effective hydrolysis of alkali-treated rice straw were first selected from 15 kinds of commercial cellulase reagents based on the calculation of regression analysis method on Excel solver, which is one of the multiple classification analysis. The relational expression was estimated by statistical method on explanatory variable and objective variable about hydrolysis efficient by each enzyme. The explanatory variables were derived by enzymatic activities of endo-β-glucanase (EBG), cellobiohydrolase (CBH), β-glucosidase (BGL), xylanase (XN), β-xylosidase (BX), Filter paper degradation activity (FPU), and unwoven cellulosic cloth (BEMCOT®) degradation activity (BCU). The objective variables (hydrolysis activity) were derived by hydrolysis activities analyzed with 10 g/L pretreated straw by each enzyme reagent of 1 g-protein/L at 30 °C, pH 5.5, and 120 rpm. The activities were determined as reducing-sugar production per 1 min. These enzymatic activities as variables were fed to regression analysis tool in Excel and regression expression was obtained from coefficients in displayed analysis of variance (ANOVA) table containing significant value (F value), coefficients, and probability value (P value), etc. Three kinds of reagents were selected based on the high coefficients of activity in the expression. Next, an optimum ratio of these reagents mixture was constructed by design of experiments (DOE) method using Design-Expart® 8. The software planned 14 kinds of mixing pattern that was necessary experiments for calculation of optimum ratio using the central composite design. Hydrolysis reactions were performed using these mixtures of enzyme reagents on the basis of the designed patterns with 100 g/L alkali-treated rice straw for 48 h. After the reactions, hydrolysates were separated by filtration (Filter paper No. 131, Advantec Ltd., Japan) and the liquids were analyzed by HPLC about the concentrations of glucose and xylose. Then, these sugar concentrations were input to the software again and that resulted in drawing a response surface of desirability on fermentable sugar production from pretreated straw and simultaneously the software calculated candidate of optimum mixing ratio of reagents by ANOVA.
Enzymatic hydrolysis of rice straw
Hydrolysis reactions were performed in 100 mL bottles containing 100 g/L of the pretreated rice straw suspended in 25 mL of 0.1 M sodium acetate buffer (pH 5.5) or culture medium. These were previously autoclaved at 121 °C for 15 min. Reaction was started by addition of the filter-sterilized single or cocktail enzymes at the total protein concentration of 2 g/L. The pretreated rice straw suspension was incubated at 28 °C and 120 rpm for 96 h. Hydrolysates were obtained by removal of solid fraction by filtration and its sugar concentration was analyzed by HPLC system.
Simultaneous saccharification and fermentation (SSF)
SSF experiments were performed in 100 mL bottle containing 100 g/L pretreated rice straw suspension in 25 mL medium containing yeast extract (Oriental yeast, Tokyo, Japan), 5 g/L; (NH4)2SO4, 7.5 g/L; KH2PO4, 3.5 g/L; MgSO4·7H2O, 0.75 g/L; CaCl2·2H2O, 1.0 g/L (Wako Pure Chemical Industries, Ltd. Osaka, Japan) and the pH was adjusted at 5.5. Cultivation was started by inoculating 1 mL fermenting fungus suspended in normal saline and simultaneously adding the filter-sterilized single of cocktail of cellulase that conditioned at 2 g-protein/L and then shaken at 120 rpm in an incubator at 28 °C for 96 h. The cultures were filtrated and separated supernatants containing sugars and ethanol produced by SSF were analyzed by HPLC.
Measurement of enzymatic activity
Enzymatic activity existed in each commercial cellulase reagent about EBG, CBH, BGL, XN, and BX were measured using Azo-CM-cellulose (Megazyme, Ireland), 4-nitrophenyl-β-D-cellobioside, 4-nitrophenyl-β-D-glucopyranoside (Sigma-Aldrich), Azo-arabinoxylan (Megazyme), and 4-nitrophenyl-β-D-xylopyranoside (Sigma-Aldrich), respectively. EBG and XN activities were determined by reference to each standard curve followed as protocol. CBH, BGL, and BX activities were determined as the ability by which releases 1 μmol of 4-nitrophenol per 1 min. FPU, BCU, and rice straw hydrolysis activities were measured by degradation of filter paper (Whatman® qualitative filter paper, Grade 1, Sigma-Aldrich) and BEMCOT® (Asahi Kasei Corporation, Japan), respectively, in acetate buffer (pH 5.5) for 1 h at 28 °C. Then, produced reducing sugar was analyzed by 3,5-Dinitrosalicylic acid (DNS) method (Breuil and Saddler 1985) and the activities were determined as the ability by which 1 μmol of reducing sugar per 1 min released.
Klason lignin method was performed with a little modification for componential analysis of rice straw (López et al. 2010). First, 0.3 g of straw was soaked in 72% sulfuric acid of 4.5 mL for 3 h and then diluted to 3% by addition of water. Next, the suspension was autoclaved at 121 °C for 30 min. After cooling, liquid and solid were separated by filtration using glass fiber filter (Advantec Ltd.). Liquid was used for analysis of sugars and the amount of solid was used for determination of lignin content. The content of cellulose in rice straw was determined from the amount of glucose in the liquid phase analyzed by Glucose C II-test Wako (Wako Pure Chemical Industries, Ltd.) after neutralization to pH 7.0. The hemicellulose content in liquid phase was determined by phenol–sulfuric acid method for total sugar analysis and then calculated by subtracting the amount of the previous glucose amount from the total amount of sugars. Another 0.3 g straw was used ashing treatment at 500 °C for 2 h and then the ash weight was measured. Lignin content was calculated by subtracting the amount of the ash weight from the previous solid weight.
The products such as glucose, xylose, xylitol, glycerol, and ethanol formed by hydrolysis or SSF were determined by HPLC (LC-10AD, Shimadzu Co., Kyoto, Japan) equipped with a refractive index detector (RID-10A, Shimadzu Co.) and ICSep WA-1 Wine Analysis column (Transgenomic, NE, USA) operated at 40 °C with 1.25 mM sulfuric acid as mobile phase at flow rate of 0.6 mL/min.
Results and discussion
Component of rice straw
Removal of lignin from biomass by pretreatment is essential to produce ethanol from rice straw efficiently by saccharification and fermentation. Among many kinds of pretreatment method for biomass, alkali pretreatment is profitable method because the treatment is able to remove lignin easily, fiberize, and break the crystal structure of cellulose (Taherzadeh and Karimi 2008). Figure 1 shows the componential ratio of raw rice straw and the alkali-treated straw. Each result of the componential analysis was shown based on the mean value of three times. The pretreatment decreased lignin content from 29.6 to 11.6% and also reduced inorganic substances as ash containing silica from 14.1 to 8.5%. Since these cover the fiber, the reduction affected not only to increase cellulosic fiber content, but also to be accessible to the fiber for enzymes and fermenting microorganism. Cellulose contents increased to 65.5% from 32.0%. However, the hemicellulose content decreased from 24.2 to 14.5% because of partially solubilization of xylan by alkali treatment (Carvalheiro et al. 2008). From these results, the fermentable sugar in the straw increased to 80.0% from 56.3% by the pretreatment. Considering total mass balance, cellulose recovery was 79.8% after the treatment. The treatment achieved production of the reformed material that contains 142% higher fermentable sugar per unit mass than that of raw rice straw. Therefore, alkali pretreating method was a promising method for well removal of lignin from rice straw and obtainment of the cellulose fiber.
According to other reports, NaOH treatment to rice straw resulted in multiple cellulose and hemicellulose content by treatment process. A treatment with 5% NaOH for 1 h at 40 °C and autoclave at 121 °C for 30 min increased 171% of cellulose content and decreased 65.9% of hemicellulose content (Oberoi et al. 2012). Another treatment with 4% H2SO4 at 121 °C for 60 min, and then, 0.5% NaOH at 121 °C for 30 min increased 195% of cellulose content and decreased 89.5% of hemicellulose content (Narra et al. 2015). In this study, cellulose increase was 205% and hemicellulose decrease was 40.1%, which were higher climb of cellulose and maintain hemicellulose content than these reports. The treatment in this study suggested great attainment method for them in biomass with moderate loss of hemicellulose, since effective ethanol production requires making best use of these polysaccharides in biomass.
Selection and optimization of hydrolysis enzymes
Hydrolysis of lignocellulosic biomass requires effect of multiple enzyme activities such as EBG, CBH, BGL, XN, BX, FPU, and BCU. The hydrolysis rate of biomass is greatly controlled by the balance of these activities. This study chose commercial enzyme reagents with low price and quality for economical process. These possess particular activities because of the enzyme production origins and methods. Therefore, compounding several enzymes was expected to provide the synergy effect for enhancement of hydrolysis reaction and to cover the deficient activities each other under low dose condition. Figure 2 shows protein contents in these reagents per powder weight and their specific activities related to polysaccharide hydrolysis. Each reagent showed multiple protein contents and activities that act complicatedly on the cellulose and hemicellulose complex in biomass. Cellulase Onozuka 3S and Sumizyme X showed high activity on EBG, Cellulase T, Cellulase Onozuka 3S, and Sumizyme X on CBH, Meicelase on BGL, Sumizyme AC on XN, and Pectinase G on BX. In addition, Fig. 3 shows hydrolysis activity of alkali-treated rice straw by these reagents. Meicelase, Cellulase T, and Cellulase Onozuka 3S indicated comparatively high degradation activity. However, determination of only one appropriate reagent was difficult for hydrolysis of the straw based on the results of various activities. Blending was desirable by combining the reagents having various enzyme activities for efficient hydrolysis of the rice straw. Therefore, suitable enzyme reagents were selected to combine them based on the multivariate analysis by setting enzymatic activities described in Fig. 2 as explanatory variables and hydrolysis activities in Fig. 3 as objective variable (Y). Regression expression obtained by the analysis was as follows:
The coefficient in the expression showed the weight on degradation of the straw and large absolute value indicated grate requirement. This result is significant as evidenced by Fisher’s F test, as the multiple correlation determination R2 = 0.725, and the very low significant value of F = 0.008. Here, P value indicates the significance probability of the coefficient of each explanatory variable and this value is required to be less than 0.05 which shows variation of less than 5%. Because the P value on (XN), (BGL), and (BX) in this statistical analysis was 0.87, 0.59, and 0.84, respectively, which were considerably higher than 0.05, these parameters should involve poorly in the hydrolysis. Another multivariate analysis was performed again except for these three inputs and new regression expression was calculated. As a result, degradation activity was obtained as follows:
The analysis resulted in significant expression with R2 = 0.791, F = 0.0002, and P values of explanatory variables CBH, EBG, FPU, and BCU of 0.02, 0.001, 0.00003, and 0.0006, respectively. The expression confirmed the requirement of these four activities for hydrolysis of the treated straw. From these viewpoints, Cellulase T Amano 4 (denoted by Cellulase T) with high activities of CBH, FPU, and BCU, and Cellulase Onozuka 3S (Onozuka) with high CBH, EBG, and BCU were chosen as candidates for preparing a cocktail. In addition, Pectinase G Amano (Pectinase G) was selected for hemicellulose degradation activities of XN and BX, since hemicellulose was still contained in the alkali-treated rice straw. The suggested analysis method can offer accurate response for selection of appropriate agents from various reagents for hydrolysis of any biomass or even any different pretreated substances from the same material. Since there are many excellent reagents of commercial enzyme around the world, selection of appropriate one from them is complicated issue for effective hydrolysis of any substrate. Construction of database previously on enzymatic activities of reagents will make it possible to apply the analysis and that will help selection of hydrolysis enzyme reagents.
An optimal enzyme cocktail containing selected three reagents was constructed according to DOE with RSM to efficiently biodegrade alkali-treated rice straw by enzymatic hydrolysis. Software Design Export 8® structured 14 kinds of mixture patterns of three reagents as shown in Table 1 and hydrolysis reactions of the straw with the mixture were carried out in culture medium at pH 5.5 for 48 h at 28 °C. Then, glucose and xylose concentrations obtained by these reactions were input and applied for ANOVA in the software. Figure 4 shows a 3D-response surface graph obtained by the calculation. The response was desirability for the production of both glucose and xylose together from the straw, and A, B, and C show the set range of Onozuka (1–2 g/L), Cellulase T (0–1 g/L), and Pectinase G (0–1 g/L), respectively. Although the analysis also drew another response graphs of expected glucose and xylose each (data not shown), we adopted the desirability for effective hydrolysis to produce both of the sugars. From the analysis, an optimum ratio of cellulase cocktail was calculated by ANOVA of the response function as follows: Cellulase T:Onozuka:Pectinase G = 0.333:0.388:0.286. Hydrolysis with the optimal cocktail was promised the largest amount of fermented sugar (total glucose and xylose) from alkali-treated rice straw. DOE method can propose how combine several types of reagent not only the enzymes like this study but also other parameters on medium components or culture conditions. The method will be better approach to adapt the reagents successfully by synergy of activities which affect to biomass hydrolysis, because commercial enzymes contain multiple activities due to the low purification.
Fermentable sugar production from alkali-treated rice straw by three selected enzyme reagents or an optimal cocktail
Hydrolysis effect by the optimized cocktail designed by RSM was confirmed and was compared with that of each enzyme reagent alone on the alkali-treated rice straw. The treated straw of 100 g/L was reacted with these enzymes for 96 h at pH 5.5 and 28 °C. Figure 5 shows sugars production from the straw with the each reagent or the cocktail at protein concentration of 2 g/L.
In all hydrolysis reactions of the substrate, indicated pH were almost constant value through the reactions. In the reaction with Cellulase T as shown in Fig. 5a, disaccharides, glucose, xylose, and arabinose were began to release in the early stage of the reaction and concentrations of them grew continuously for 96 h. Glucose kept increasing and achieved 30.1 g/L at 96 h, which was 46% of the cellulose content in the straw. This behavior was caused by high CBH and BGL activity in Cellulase T; that is, CBH in the reagent behaved for disaccharides production, and immediately, it converted to glucose by BGL activity with keeping apparent disaccharides on at low level. However, low EBG activity in the reagent caused scarce degradation of amorphous part of cellulose fiber that suppressed glucose production, though FPU activity was relatively high compared with other reagent, as shown in Fig. 2. Total concentration of glucose and xylose was 42.4 g/L and the hydrolysis efficiency was 53% based on the total cellulose and hemicellulose content in the straw. In hydrolysis of the straw by Pectinase G, glucose and xylose could be produced without disaccharide accumulation through the reaction due to low CBH activity (Fig. 5b). The amount of produced glucose was 30.3 g/L which was the same level of Cellulase T. At the same time, 12.2 g/L of xylose was able to be produced for 96 h and the yield was 84.1% of hemicellulose content in the straw. That was the highest yield among the three reagents alone due to particular high XN and BX activity. In the hydrolysis reaction of Onozuka as shown in Fig. 5c, glucose, xylose, disaccharide, and arabinose were produced from the straw. Glucose and xylose were produced at the concentration of 45.6 and 10.0 g/L, respectively, for 96 h. The sum concentration of these sugars was 55.7 g/L that showed hydrolysis efficiency of 69.6%. The highest amount of disaccharide was produced by the reagent among the three kinds of reagents at the concentration of 15.9 g/L for 96 h. Disaccharide (mostly cellobiose) accumulation was caused by low BGL activity in Onozuka, whereas EBG, CBH, and BCU activities were high. In fact, oligosaccharides that had various lengths were detected by HPLC analysis (not identified). Accumulated disaccharides had to be degraded to glucose and xylose for fermentation to ethanol. Meanwhile, on hydrolysis of the treated straw by the optimized cocktail as shown in Fig. 5d, higher glucose and xylose concentrations achieved at 53.2 and 13.5 g/L than that in the reactions with three single reagents, respectively. The yields of glucose and xylose from the straw was 81.2 and 93.1%, respectively. The hydrolysis efficiency on total fermentable sugars reached 83.3%. These were the highest value among the four patterns of reactions and that represented the cocktail greatly affected hydrolysis of the alkali-treated straw by interaction of the three reagents. In addition, glucose production proceeded satisfactory without accumulation of disaccharides. Combination with Cellulase T that possesses high CBH, BGL and FPU and Onozuka that possess high EBG, CBH, and BCU was able to progress degradation of disaccharides to glucose by synergy effect of these activities each other. Particularly, BGL in Cellulase T interacted with disaccharides produced by Onozuka activity. Moreover, since disaccharides contained not only cellobiose but also xylobiose, the BX activity in Pectinase G affected the xylobiose that produced by activity in Onozuka to induce xylose production.
Combination of several enzyme reagents complemented deficient activities in these reagents each other and effective fermentable sugar production from lignocellulosic substance was successfully demonstrated using the optimized enzyme cocktail. Several studies have regarded optimization results of enzyme for fermentable sugar production by RSM (Qin et al. 2017; Zhong et al. 2009). However, these reports arbitrarily selected several enzymes based on the previous experiences or articles. The method in this study provided better approach that started from a selection method among many kinds of commercial reagents based on detailed investigation of activities and statistical examination than vague choice of them. No matter if some reagents have to be selected from more kinds of reagents than that of in this study (15 kinds), the application of the proposed method will submit appropriate response for any biomass. And then, optimizing these enzymes by DOE will be able to induce successful hydrolysis.
SSF of alkali-treated rice straw with fermentable fungus and optimized cocktail
Ethanol production from 100 g/L of the alkali-treated rice straw was examined by simultaneous saccharification and fermentation (SSF) with an ethanol-producing fungus, M. circinelloides J, and the optimized cocktail at protein concentration of 2 g/L, pH 5.5, and 28 °C for 96 h.
As control experiments, three SSFs were performed using three selected reagents alone. In all SSFs as shown in Fig. 6, cellulose and hemicelluloses in the straw were hydrolyzed to disaccharides, glucose, and xylose at the early stage of cultivation. Then, these were consumed by fungus and subsequently converted to ethanol by the fungus. Ethanol was started to produce after 12 h in all cultivations. In the SSF with Cellulase T as shown in Fig. 6a, 9.2 g/L glucose and 6.1 g/L xylose appeared at the initial stage of cultivation, and then, they were consumed immediately by the fungus. Then, ethanol reached 21.8 g/L at 48 h and the yield based on the fermentable sugar content in the substrate material and the productivity was 53.5% and 0.454 g/L/h, respectively. Assimilation of the sugars by the fungus resolved product inhibition to enzyme caused by accumulation of them, and consequently, the sugar production in SSF was smoother than that in hydrolysis reaction without the fermenting strain. Moreover, the fungus converted oligosaccharides in the culture to ethanol directly. Because glucose production rate might be slower than fermentation rate, the fungus assimilated cellobiose, etc. before enzymatic degradation to glucose by particular fermentation ability of the strain on these sugars. In the SSF with Pectinase G as shown Fig. 6b, 6.5 g/L glucose and 6.9 g/L xylose were produced for 12 h, and then, these sugars consumed with fermentation by the fungus to produce 12.3 g/L ethanol for 48 h. The produced ethanol was lower than that of SSF with Cellulase T, whereas hydrolysis efficiency was the same level, as shown in Fig. 5. Because Pectinase G possesses scanty degrading activity to the straw such as FPU, the rate of fermentable sugar supply from the straw was not enough to produce high ethanol, even though product inhibition was resolved by the fungus. When Onozuka was used for SSF as shown in Fig. 6c, 13.6 g/L glucose and 9.7 g/L disaccharides were produced quickly in the early stage of the culture and the subsequent fermentation produced ethanol of 28.9 g/L for 48 h. The yield and productivity were 70.7% and 0.602 g/L/h, respectively. About 4.0 g/L xylose was produced and the sugar existed in the culture through the SSF, because diauxie effect suppressed the fungus fermenting of xylose under the presence of comfortable glucose. Moreover, appeared disaccharides at the early stage of SSF were decreased quickly for 24 h. Secretion of BGL and assimilation of disaccharides by the fungus helped the utilization of produced them for fermentation, whereas the sugars accumulated in hydrolysis reaction bottle, as shown in Fig. 5c.
Yet, on the SSF with the optimized enzymes cocktail, as shown in Fig. 6d, the highest glucose and xylose was able to be produced at the concentration of 18.4 and 8.0 g/L without disaccharides accumulation, respectively. In addition, subsequently, 30.6 g/L ethanol was able to be produced effectively for 36 h. The productivity and the fermentation efficiency achieved the highest value of 0.85 g/L/h and 90.0% of hydrolyzed fermentable sugar basis, respectively. The yield that cellulose content basis in the treated straw achieved 91.4%. Synergistic effect led to efficient production of glucose and xylose by Cellulase T that including high CBH, BGL and FPU, Onozuka that including high EBG, CBH, and BCU, and Pectinase G including XN and BX. Although disaccharides were produced from the straw by CBH and other cellulase activities in Onozuka, BGL in Cellulase T and that secreted by the fungus could degraded them to glucose as soon as produced. Moreover, a few of them appeared in the culture were also assimilated by the fungus. These advantages induced the highest ethanol production compared to SSF with each reagent alone. Since the optimized cocktail improved hydrolysis from the estimation with three reagents alone, the hydrolysis rate was faster comfortable for ethanol production rate. Moreover, resolution of product inhibition also increased the hydrolysis rate and that induced high ethanol production. In addition, by-products such as xylitol in the SSF were barely formed from xylose metabolism, because the highest xylose was produced by the cocktail from the straw, which was not used for ethanol production. At the same time, the SSFs decreased pHs from 5.5 to 3.2–4.3, and the lower pH was, the higher ethanol was produced. The secretion of various substances by the fungus with growth should decrease the pHs. Since optimum pH of general cellulases is mild acidity about 3–4, the lower pH could activate hydrolysis reactions for the rice straw degradation by enzyme reagents. More fermentable sugars were released under low pH condition in the medium from the straw by efficient hydrolysis with the cocktail, and the more fungus was able to grow and to produce ethanol.
The proposed SSF system with the optimized cellulase cocktail and the novel ethanol-producing fungus is a promising method that was able to produce bioethanol directly from not only rice straw but also other lignocellulosic biomass. To utilize all sugars existing in rice straw, improvement of SSF system must be investigated about cultivation conditions: enzyme dose, medium composition, pH, temperature, surfactants addition, and aeration. For example, high temperature can improve hydrolysis reaction more quickly than low temperature because that activates these enzymes at 40–60 °C. However, the fungus can grow only in mild condition like room temperature. Construction of high-performing strain that can tolerate high temperature will achieve more effective SSF.
Comparison of SSF from several pretreated rice straws by various strains
Rice straw is one of the desirable biomass as good feedstock of ethanol production and has been investigated by combining several treatments and fermenting microorganisms. Table 2 shows the comparison of various SSFs using pretreated rice straws under close conditions to this study. All conditions were related in ethanol production strongly. Various enzyme reagents were used for each report and these performed well on hydrolysis of these substrates. However, it was doubtful whether these were really suitable for the substrates, because many amount of dose can achieve high degradation of biomass even if enzyme was not match to the substrates. We suggested effective selection and optimization methods to resolve that matter, which induced effective SSF with low dose of the reagents. As shown in Table 2, alkali pretreatment of rice straw led to higher ethanol productions and that yields comparatively than acid treatment. Particularly, these yields were significantly higher than that of acid treatment processes. Since alkali treatment can break crystal structure and soften the fiber, the advantage induced good hydrolysis and subsequent fermentation. Our study reported the highest ethanol production and yield among these reports, because optimization of enzyme mixture affected highly to hydrolysis of the straw. In addition, it was reason that the fungus used in this study could convert not only glucose and xylose to ethanol, but also secret slightly several cellulases which helped fermentable sugar production. Productivities were relatively high on SSF with Mucor fungi from the results of these reports. Although yeast of Saccharomyces sp. used general ethanol production, the fungi are also favorable microorganism on fermenting and enzymes secreting ability in the process of biomass conversion. In all SSFs, appropriate pH for fermenting microorganisms was used; that is, yeast was cultured in pH 4–5 and fungi in pH 5.5. The cultivation temperature is an important factor which strongly affects both hydrolysis by enzyme and fermentation by microbes, since generally hydrolysis ability of enzymes can be improved with increasing of reaction temperature. Although the optimal temperature of cellulase is generally around 50 °C, most researches on SSF was performed less than 40 °C, as shown in Table 2, because general fermenting strains cannot grow at the temperature. Therefore, the creation of novel fermenting microorganism, which has endurance for high temperature around 50 °C, is expected to be lead to the development of more efficient bioethanol production process than that of present study.
This study was presented a promising process for decision of enzyme reagents for hydrolysis of alkali-pretreated rice straw by statistical approach and efficient ethanol production by SSF. The pretreatment method of alkali (NaOH) with heating resulted in effective lignin removal from raw rice straw and making a high sugar content material. Multivariate analysis could suggest several required enzymatic activities and derive a selection of appropriate reagents for the pretreated rice straw. Three kinds of desired reagents were selected from 15 kinds of commercial enzyme reagents based on the analysis. DOE with RSM proposed an optimum ratio of enzyme cocktail consisted of the three reagents for effective production of fermentable sugar from the alkali-treated straw. The enzyme cocktail constructed by these statistical approaches advanced hydrolysis efficiency to 83.3% at 2 g-protein/L from low efficiencies with each reagent alone. SSF of the alkali-treated straw using a novel pentose-fermenting fungus with the cocktail achieved high ethanol production with the fermenting efficiency of 90% of fermentable sugar basis. Further investigations suggest enhancement of ethanol production from lignocellulosic biomass by any improvement such as increase of temperature.
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TM carried out all experiments and analysis and prepared the manuscript. HK contributed reagents, materials, and analysis tools. HK reviewed the results, helped data analysis, and edited the manuscript. HK has given final approval of the version to be published. Both authors read and approved the final manuscript.
TM is Research Assistant belonged to Graduate School of Science and Engineering, University of Toyama. HK is Associate Professor belonged to Graduate School of Science and Engineering, University of Toyama.
The authors declare that they have no competing interests.
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