Abstract
Hemicellulose was isolated from poplar powder using alkaline hydrolysis coupled with alcohol precipitation. Response surface methodology was applied to study the effects of sodium hydroxide concentration, reaction time, and temperature on the extraction yield. The optimal conditions for the extraction of the hemicellulose from poplar powder were an alkaline mass fraction of 9.5%, reaction time of 4 h and 12 min, and temperature of 78 °C. The extraction yield reached 52.8% under this optimal condition. Fourier-transform infrared spectroscopy, nuclear magnetic resonance, thermogravimetric analysis, and sugar component analyses showed that the obtained hemicellulose with excellent water absorption and heat resistance consisted mainly of 4-O-methyl-glucurono-xylan, and the molar ratio of xylose to glucuronic acid on the molecule chains was 3.95.
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Response Surface Optimization of Alkali Extraction and Characterization of Poplar Hemicellulose
Hui Shao, Yu Hu, Hui Sun,* Biao Yang, Baomin Fan, and Huijuan Zhang
Hemicellulose was isolated from poplar powder using alkaline hydrolysis coupled with alcohol precipitation. Response surface methodology was applied to study the effects of sodium hydroxide concentration, reaction time, and temperature on the extraction yield. The optimal conditions for the extraction of the hemicellulose from poplar powder were an alkaline mass fraction of 9.5%, reaction time of 4 h and 12 min, and temperature of 78 °C. The extraction yield reached 52.8% under this optimal condition. Fourier-transform infrared spectroscopy, nuclear magnetic resonance, thermogravimetric analysis, and sugar component analyses showed that the obtained hemicellulose with excellent water absorption and heat resistance consisted mainly of 4-O-methyl-glucurono-xylan, and the molar ratio of xylose to glucuronic acid on the molecule chains was 3.95.
Keywords: Poplar; Hemicellulose; Alkaline extraction; Response surface methodology
Contact information: School of Materials Science and Mechanical Engineering, Beijing Technology and Business University, Beijing 100048, China; *Corresponding author: sunhui@th.btbu.edu.cn
INTRODUCTION
With the exhaustion of petrochemical resources, the serious pollution of environment, and the looming global energy crisis, the development of renewable biomass resources for fuels and materials harvesting is imperative (Hansen and David 2008; Farhat et al. 2017; Ibn Yaich et al. 2017). Efficient exploitation and utilization of materials and energies from renewable resources are of great importance for the sustainable development of human society (Tunc et al. 2010; Cherubini 2010; Putro et al. 2016). Cellulose, hemicellulose, and lignin are the main components of plant cell walls, making them the most abundant biomass resources in nature. Hence, the utilization of cellulose, hemicellulose, and lignin in papermaking, food packaging, and bio-medical fields has become a research hotspot in recent years.
Different from cellulose and lignin, hemicellulose is made of homogeneous or heterogeneous polysaccharides connected by different monosaccharides with diverse binding methods. The typical structural unit of hemicellulose includes neutral sugars (D-xylose, L-arabinose, D-galactose) and glucuronic acid (Scheller and Ulvskov 2010). Its characteristics of non-toxicity and biodegradability make hemicellulose suitable for food functional packaging materials, edible film, and biological medicine (Mikkonen and Tenkanen 2012). However, the diverse compositions and amorphous structures of hemicellulose increase the difficulty of its separation, purification, and modification. Therefore, research on hemicellulose is less adequate than that on cellulose and lignin. The current extraction methods of hemicellulose include steam explosion (Wang et al. 2010; Martin-Sampedro et al. 2014), hot water treatment (Liu 2010; Liu et al. 2012; Krogell et al. 2013; Cheng et al. 2014; Azhar et al. 2015), ultrasonic treatment (Pei et al. 2015), alkaline extraction (Methacanon et al. 2003; Krawczyk et al. 2008; Cheng et al. 2011; Johakimu and Andrew 2013; Sun et al. 2013), acid extraction (Walton et al. 2010; Guerra-Rodríguez et al. 2012; Wang et al. 2012), and organic solvent extraction (Saake et al.2001; Hu et al. 2009; Xu et al. 2013). Of all the aforementioned approaches, alkaline extraction has the advantage of higher extraction yields, less destructiveness of molecular structures, and a higher polymerization degree of the obtained hemicellulose (Sun et al. 2016).
Poplar is a hardwood of the genus Populus, which is mainly distributed in the north temperate zone. Due to its fast-growing nature and good adaptability, poplar is widely planted in China as an important artificial forest species. During the extensive application of wood processing, a large amount of poplar powder is produced and discarded, resulting in the waste of biomass resources and environmental pollution. The hemicellulose content in discarded poplar powder is generally 20% to 25% and sometimes up to 35% (Alekhina et al. 2014). The effective extraction of hemicellulose from these wastes is of great significance to the full utilization of poplar powder. Alkaline extraction of hemicellulose from poplar was reported (Sun et al.2001), in which poplar hemicellulose was extracted with 8.5% mass fraction of NaOH solution at 20 °C. However, the influence of alkaline pretreatment on the extraction efficiency of hemicellulose from poplar was not thoroughly studied, and a systematic characterization analysis of the obtained hemicellulose has not been reported.
Response surface methodology (RSM) is a combination method of mathematical and statistical theories to solve multivariable problems (Thompson 1982). Using reasonable experimental design and processing of experimental data, the functional relationship between factors and response values is fitted by multiple quadratic regression equations (Thompson 1982). The optimal process parameters are determined through the analysis of regression equations. Due to fewer test runs, shorter duration, and higher precision, RSM is used to reduce experimental cost, optimize processing conditions, improve product quality, and solve practical problems in food and chemical manufacturing (Mu 2001). In the development and utilization of biomass resources, RSM has been successfully applied to enhance the yield of hemicellulose extracted from Cornus officinalis residue (Shao et al. 2011), to improve dilute acid pretreatment of straw hemicellulose (Won et al. 2012), and to optimize NaOH extraction of bagasse hemicellulose (Yao et al. 2015).
In this study, hemicellulose was extracted from poplar powder by alkaline hydrolysis followed by alcohol precipitation. The parameters of alkali concentration, reaction time, and temperature in the extraction process were optimized by RSM. The composition and structure of the obtained hemicellulose were analyzed.
EXPERIMENTAL
Materials and Instruments
Poplar powder was obtained from five-year-old poplar in the Hebei region, the hemicellulose content of which was 30.5%. The particle size was in the range 0.2 mm to 0.8 mm. The NaOH, HCl, NaClO, H2SO4, Ba(OH)2, and KH2PO4 were purchased from Sinopharm Chemical Reagent Co., Ltd (Shanghai, China), and glacial acetic acid was purchased from Beijing Chemical Plant (Beijing, China). The 95% ethanol was purchased from Tianjin Oke Chemical Reagent Co., Ltd. (Tianjin, China); standardized reagents for chromatographic analysis were purchased from Sigma Co., Ltd. (Beijing, China). The instruments used in this study are listed in Table 1.
Table 1. Instruments Used for the Experiments and Analysis
Extraction of Poplar Hemicellulose
Hemicellulose was obtained from poplar powder through an alkaline hydrolysis followed by the alcohol precipitation approach (Fig. 1). The poplar powder was Soxhlet extracted with toluene and ethanol (2:1, v/v) for 6 h. The resulting defatted powder was dried for 12 h at 60 °C and then re-extracted with 0.6% (w/v) NaClO solution for 1 h at 75 °C. During the procedure, the solid-liquid ratio was 1:20 (w/v), and the pH was adjusted to 4.0 with acetic acid. After being filtered, rinsed, and dried, the filter residue was put into NaOH solution for a certain period of time at a certain temperature. The solid-liquid ratio was also 1:20 (w/v). Until the end of the reaction, the excess alkali was neutralized with HCl, and the pH was adjusted to 5.5. After refiltration, the resultant filtrate (containing hemicellulose) was precipitated with 95% (v/v) ethanol (1:3, v/v). The mixture was left to stand for 12 h before polar hemicellulose was obtained by centrifugation followed by drying the filter residue.
Fig. 1. Flow chart for alkaline extraction of poplar hemicellulose
Response Surface Experimental Design
Results of an earlier single-factor experiment showed that the hemicellulose extraction yield reached the peak under the conditions of 9% NaOH with a reaction time of 4 h and 70 °C, respectively (Hu 2017). According to the Box-Behnken central combinatorial experiment design principle (Box and Behnken 1960; Ferreira et al. 2007), NaOH concentration (A), reaction time (B), and temperature (C) were selected as three independent variables of the three-level factorial design model in RSM, and the hemicellulose extraction yield (%, Rx) was the response value. Each experimental condition was done in three parallel tests, and the average value was reported. Table 2 presents the actual levels, corresponding to the codes of the process variables.
Table 2. Factors and Levels
The response value Rx was calculated as Eq. 1,
(1)
where Rx is the extraction yield of hemicellulose (%), mx is the total mass of xylose, mannose, arabinose, and glucuronic acid of extracted hemicellulose (g), and m0 is the total mass of xylose, mannose, arabinose, and glucuronic acid of defatted poplar powder (g).
The response surface quadratic model was analyzed by using Design-Expert software (State-Ease, New York, NY).
Analytical Methods
Gel permeation chromatography (GPC)
The molecular weight of hemicellulose was determined by GPC with a TSKG-5000 PWxL gel column (Beijing, China) under a pressure of 518 psi at 35 °C. The flow phase was 0.02 mol/L KH2PO4 aqueous solution at a pH of 6.0, with velocity of 0.6 mL /min. The injection volume was 20 μL.
Ion chromatography (IC)
The chemical composition of hemicellulose was analyzed by IC, and sugars were released from samples by acid hydrolysis. Hemicellulose of 300.0 mg ± 10.0 mg was solubilized in 84 g ± 0.04 g of distilled water and 3.00 mL ± 0.01 mL of H2SO4 (72%, w/v). After being mixed, the sample was placed in the autoclave for 1 h at 121 °C. Then the pH of the reaction product was adjusted from 5 to 6 with Ba(OH)2. After centrifugation, the supernatant was filtered by a microporous membrane with a pore size of 0.22 μm. The content of dextran and xylose in hemicellulose was calculated by the filtrate and the determination of glucuronic acid is available in the literature (Li et al. 2007).
Aminex HPX-87P column (300 mm × 78 mm) (Bio Rad Laboratories, Hercules, CA, USA) was maintained at 80 °C. Degassed ultrapure water was used as the flow phase with a flow rate of 0.4 mL/min and injection volume of 0.5 μL. The assorted monitor was a differential refraction detector. The standard elution time was calibrated with L-arabinose, D-glucose, D-xylose, D-galactose, and D-mannose. The type of monosaccharide in the sample was determined by comparing the retention time of the standard substance and that of the sample; the percentage of monosaccharide in the sample was calculated according to the peak area.
Fourier-transform infrared spectroscopy (FT-IR)
The chemical functional groups of hemicellulose were analyzed by FT-IR. The spectra were obtained at a resolution of 4 cm-1 with 32 scans in the range from 4000 cm-1 to 450 cm-1.
Nuclear magnetic resonance (1H-NMR)
Hemicellulose amounts of 10 mg were placed in the 5 mm diameter NMR tube. The solid sample was dissolved in 1 mL D2O for analysis.
Thermogravimetric analysis (TGA)
Thermal stability of the hemicellulose was carried out on a thermogravimetric analyzer. The test temperature ranged from 40 °C to 600 °C with the nitrogen flow rate maintained at 100 mL/min and the heating rate of 20 °C/min.
RESULTS AND DISCUSSION
Response Surface Optimization of Extraction Conditions
Response surface results and variance analysis
In this paper, a Box-Behnken experimental design was used to optimize the NaOH concentration (A), reaction time (B), and temperature (C) in the extraction of hemicellulose from poplar powder by evaluating the extraction yield (%) Rx of hemicellulose. The statistical treatment combinations of the test variables along with the measured response values, expressed as the extraction yield of each combination, are summarized in Table 3.
Table 3. Response Surface Experimental Design and Results
The application of RSM produced the following regression equation (Eq. 2), which was an empirical relationship between extraction yield and the test variables in coded units,
Rx = -399.47 + 54.254A + 87.23B + 0.3065C-1.15AB + 0.145AC + 0.285BC-3.215A2 – 11.71B2 – 0.0186C2 (2)
where Rx is the predicted poplar hemicellulose extraction yield, and A, B, and C are the coded values for the three variables, i.e., NaOH concentration (%), reaction time (h), and temperature (°C) respectively.
The analysis of variance (ANOVA) data are shown in Table 4.
Table 4. Variance Analysis of the Response Surface Model
The statistical significance of each variable in the model to the response value was verified by the F test (Qi et al. 2009). The larger F-value and the smaller P-value indicated that the significance of the influence of the variable on the response value was higher (Majumder and Goyal 2008). The F-value of the model was found to be 72.47 and the P-value was less than 0.0001, which indicated that the model terms were highly significant. The coefficient of the variation (CV) indicated the degree of precision with which the treatments were compared. A relatively lower value of CV, 4.16%, indicated a better precision and reliability of the experiments (Hou and Chen 2008).
The good fitting of the models was checked by the coefficient of determination (R2). The R2 is always between 0 and 1, and the closer the R2 value is to 1.0, the better the model predicted the response. Normally, a regression model with an R2 higher than 90% is regarded as a high correlation. The R2 value of the model was 98.94%, which implied that only 1.06% of the total variation could not be attributed to the model, and the model fit well to the observed data.
The lack of fit was non-significant (P-value = 0.6621 ˃ 0.05), which illustrated that the RSM model was reliable and could be used to predict the actual situation of extracting hemicellulose from poplar powder (Yao et al. 2015).
As shown in Table 4, the influence of selected factors for hemicellulose extraction yield followed the order of A (NaOH concentration) > B (reaction time) > C (temperature) according to the F-value. In the present work, factors A, B, AC, BC, A2, and B2 (P-value < 0.01) had highly significant impacts on extraction and factors C and AB (P-value < 0.05) had significant influence on the extraction yield.
Interactions between variables
The regression model was analyzed by the software, Design-Expert, and the RSM three-dimensional (3D) graphs were obtained (Figs. 2, 3, and 4). Various response surface plots and contour plots showed the extraction yield plotted as functions of interactive variables. All three response surface diagrams have extreme points (the highest point of response surface, as well as the center point of the smallest ellipse of contour line). The extreme point demonstrated that the maximum of productive hemicellulose would exist above the selected condition.
As shown in Fig. 2, under the relatively short reaction time, alkaline concentration had little effect on the extraction yield of hemicellulose, and the increase in alkaline concentration could not improve the extraction yield effectively. However, when the reaction time was up to 4 h, higher NaOH concentrations enhanced the extraction yield, suggesting that the dissolution of hemicellulose in alkaline solution required plenty of time. Moreover, excessive reaction time led to reduced extraction yield, probably due to the loss of acetyl and other groups on hemicellulose during the process.
Fig. 2. Contour map and 3D diagram of the relationship between NaOH concentration and reaction time
Fig. 3. Contour map and 3D diagram of relationship between NaOH conc. and temperature