Lishi Yana,
Ava A. Greenwoodb,
Akram Hossainc and
Bin Yang*a
aBioproducts, Sciences and Engineering Laboratory, Department of Biological Systems Engineering, Washington State University, Richland, WA, USA. E-mail: binyang@tricity.wsu.edu; Fax: +1 509 372 7690; Tel: +1 509 372 7640
bMathematical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia
cDepartment of Civil & Environmental Engineering, Washington State University, Richland, WA, USA
First published on 16th May 2014
Switchgrass was treated by 1% (w/w) H2SO4 in batch tube reactors at temperatures ranging from 140–220 °C for up to 60 minutes. In this study, release patterns of glucose, 5-hydroxymethylfurfural (5-HMF), and levulinic acid from switchgrass cellulose were investigated through a mechanistic kinetic model. The predictions were consistent with the measured products of interest when new parameters reflecting the effects of reaction limitations, such as cellulose crystallinity, acid soluble lignin–glucose complex (ASL–glucose) and humins that cannot be quantitatively analyzed, were included. The new mechanistic kinetic model incorporating these parameters simulated the experimental data with R2 above 0.97. Results showed that glucose yield was most sensitive to variations in the parameter regarding the cellulose crystallinity at low temperatures (140–180 °C), while the impact of crystallinity on the glucose yield became imperceptible at elevated temperatures (200–220 °C). Parameters related to the undesired products (e.g. ASL–glucose and humins) were the most sensitive factors compared with rate constants and other additional parameters in impacting the levulinic acid yield at elevated temperatures (200–220 °C), while their impacts were negligible at 140–180 °C. These new findings provide a more rational explanation for the kinetic changes in dilute acid pretreatment performance and suggest that the influences of cellulose crystallinity and undesired products including ASL–glucose and humins play key roles in determining the generation of glucose, 5-HMF and levulinic acid from biomass-derived cellulose.
Cellulose, as the major polymer from biomass, is the potential source for many kinds of chemicals such as glucose, 5-HMF, and levulinic acid etc.3 Dilute acid hydrolysis of lignocellulosic biomass is a widely used technology for generating these cellulose-derived compounds.3,5 However, the yields of glucose, 5-HMF and levulinic acid obtained from pretreatment in previous studies were limited to some extent. The glucose yields from dilute acid hydrolysis of lignocellulosic biomass reported in previous research were often limited to 65–70%.6 Alternatively, employing a simulated countercurrent shrinking bed system led to a higher than 85% of glucose yield.7 5-HMF, which is unstable under acidic conditions and can be further rehydrated into levulinic acid, was the sequential degradation product via dehydration of glucose.3 It was reported that less than 10% 5-HMF was obtained in dilute acid (e.g. 3.3% (w/w) hydrochloric acid) treatments of cellulose at temperatures ranging from 160–200 °C.8 Levulinic acid is much more stable than its precursor 5-HMF under acidic conditions.3 However, levulinic acid yields reported in previous studies did not exceed 60%.3,8,9 Previous kinetic studies regarding the generation of glucose, 5-HMF and levulinic acid in dilute acidic conditions implied that the limited yields of these cellulosic derived compounds can be interpreted by the ratio of the rate constants regarding the products formation and degradation based on a simplified cellulose degradation pathway:3,5,10
However, apart from the kinetic interactions among various reaction steps based on this simplified cellulose degradation pathway, the limited yields of these derived products could be attributed to many other factors. Xiang et al.11 revealed that cellulose hydrolysis occurred slowly compared to amorphous polysaccharides (e.g. starch) under dilute acid conditions (120 °C, 4% (w/w) H2SO4). The crystallinity of cellulose played a significant role in resisting the dilute acid hydrolysis of cellulose.12 Furthermore, the formation of undesired byproducts during cellulose decomposition also reduced the yields of glucose, 5-HMF and levulinic acid. It was reported that acid soluble lignin (ASL) can be generated during dilute acid pretreatment of lignocellulosic biomass.13 Glucose was prone to react with ASL through a recombination reaction in the acidic medium to form ASL–glucose.13 The formation of ASL–glucose not only decreases the glucose yield, but also is likely to reduce the production of glucose degradation products, i.e. 5-HMF and levulinic acid. The acid-catalyzed decomposition reactions of cellulose also produced an insoluble-solid product known as humins,8,9 which was observed by Patil and Lund14 as the degradation product of 5-HMF under 135 °C in water phase. Based on this, the yields of both 5-HMF and its subsequent product levulinic acid could be limited by the formation of humins under acidic conditions.9
Previous studies implied that the crystallinity of cellulose, as well as the formation of undesired products like ASL–glucose and humins are resistant to the acid hydrolysis15 or consume the production of glucose, 5-HMF and levulinic acid,13,14 thereby resulting in the reduced yields of products of interest. In this regard, investigating the effects of these potential limiting factors (e.g. crystallinity of cellulose, ASL–glucose and humins) on the production of glucose, 5-HMF and levulinic acid from cellulose could provide new insights into interactions among the various reaction steps that favor the formation of these cellulose-derived compounds. The crystallinity index (CrI) of cellulose can be observed by multiple methods such as X-ray diffraction technology.16 However, determining the CrI of cellulose from lignocellulosic biomass is not practical. Because the other two components in lignocellulosic biomass (i.e. hemicellulose and lignin) lack any regular crystal structure, the interference of these two compounds could result in the decrease of observed CrI of biomass derived cellulose compared with the pure cellulose.17 Although the qualitative analysis of some undesired byproducts (e.g. humins) has been reported through using advanced instruments such as scanning electron microscopy (SEM) and infrared (IR) spectra, the quantitative analytical approach of these reaction limitations (e.g. humins and ASL–glucose) was seldom reported in previous studies.13,14
Kinetic models of dilute acid pretreatment are vital to provide a foundation for understanding cellulose hydrolysis and the cause of enhanced performance by batch systems.18 Thus, developing mathematical interpretation of the cellulose degradation with the incorporation of parameters reflecting these reaction limitations could provide in-depth understanding about their influence on the generation of glucose, 5-HMF and levulinic acid etc. The current reaction models describing the acid-catalyzed cellulose hydrolysis to glucose were adapted from Saeman's first-order pseudo-homogeneous kinetic model of cellulose hydrolysis in a dilute acid batch system.19 It was a two-step consecutive first-order reaction: cellulose is first hydrolyzed into glucose, and then further converted into degradation products. Over the years, Saeman's model was applied by many researchers to study the acid-catalyzed hydrolysis of cellulose/lignocellulosic biomass under a wide range of reaction conditions, i.e. acid concentrations (0.05% (w/w)–8% (w/w)) and temperatures (90–240 °C), to predict the glucose yield generated from cellulose.13,20–22 A few modifications of such models have been made through adding new parameters in order to more precisely describe the mechanism of cellulose hydrolysis. Aguilar et al.23 proposed a two fraction model of cellulose hydrolysis (100–128 °C, 2% (w/w)–6% (w/w) H2SO4) based on the assumption that cellulose displayed a biphasic tendency with one portion of cellulose hydrolyzed fast and the other portion decomposed at a slower rate. This model is a modified Saeman's model with the introduction of a parameter reflecting the ratio of fast fraction to slow fraction. Orozco et al.24 applied this model to investigate the cellulose hydrolysis from grass clippings covering a wide range of reaction conditions: 135–200 °C with 0.4% (w/w)–10% (w/w) phosphoric acid. The ratio of fast fraction to slow fraction was found at the range of 0.5–0.8. Although the two-fraction model successfully fitted the experimental data (e.g. R2 = 0.97), limited direct evidence supported the existence of fast and slow portions in cellulose. These kinetic models proposed in previous studies mainly focused on describing the glucose generation from cellulose. Only a few kinetic models8,9 explained the complete acid-catalyzed cellulose degradation including the formation of 5-HMF and levulinic acid. Girisuta et al.9 and Shen and Wyman8 extended Saeman's model via incorporating 5-HMF and levulinic acid into the acid hydrolysis process of cellulose. The byproducts humins were included into the degradation pathway of cellulose in addition to 5-HMF and levulinic acid. The rate constants of varying reaction steps in determining the cellulose degradation process were compared and it revealed that the rate-controlling step shifted from levulinic acid formation initially to 5-HMF formation later. Nevertheless, the influence of undesired byproducts (e.g. humins) on the generation of glucose, 5-HMF and levulinic acid was still unknown although humins were symbolically introduced into the cellulose degradation pathway.
Although multiple models have been devised over the years,8,25–28 similar to the model developed by Shen and Wyman,8 they all evolve from the same first-order kinetic representation. None reported in the literature incorporated parameters reflecting the reaction limitations from biomass recalcitrance (e.g. crystallinity of cellulose) or undesired byproducts (e.g. ASL–glucose and humins) to adequately describe the changes in observed performance for the degradation pathway of lignocellulosic biomass derived polysaccharides (e.g. cellulose). Continuous efforts should be made to develop kinetic models that incorporate parameters reflecting the aforementioned crystallinity of cellulose, as well as undesired byproducts (e.g. ASL–glucose and humins) for describing the mechanism of cellulose degradation more precisely. In addition, the effects of these parameters on cellulose hydrolysis that are expected to be vital in determining the generation of value-added products glucose, 5-HMF and levulinic acid also need to be evaluated.
In this study, we conducted a kinetic study on the acid-catalyzed hydrolysis of switchgrass to cellulose-derived glucose, 5-HMF and levulinic acid with 1% (w/w) sulfuric acid under temperatures ranging from 140–220 °C for 0–60 min. A kinetic model integrating parameters representing the effects of crystallinity of cellulose, and the formation of undesired products (e.g. ASL–glucose, humin) was developed to provide a detailed description of cellulose acidic degradation mechanism as well as a successful simulation to the experimental data. The subsequent analysis of the sensitivity of the predicted glucose, 5-HMF and levulinic acid yields to changes in these parameter values provided new insights in the production of glucose, 5-HMF and levulinic acid from cellulose.
(1) |
(2) |
(3) |
(4) |
The solutions of these rate expressions are given below:
C = C0exp(−k1t) | (5) |
(6) |
(7) |
(8) |
Parameter α represents the degree of cellulose crystallinity, which is expressed as the ratio of crystalline cellulose (Ccrystallinity) to total cellulose (C). The hydrolysis of cellulose is initiated by the cleavage of β-1,4-glycosidic bond of cellulose. However, the crystallinity of cellulose significantly hinders the hydronium ions from penetrating into cellulose and catalyzing the cleavage of the β-1,4-glycosidic bond.6,29,30 Consequently, only parts of the β-1,4-glycosidic bond in the cellulose linear structure possess the potential to be broken down. Introducing the parameter α into this kinetic model was intended to reflect the effects of the crystallinity on cellulose hydrolysis under varying reaction conditions. In this regard, the reactive portion of the cellulose that is unimpeded by crystallinity was defined as (1 − α) cellulose.
Parameter β represents the ratio of glucose transforming to the undesired products (e.g. ASL–glucose complex) (GASL) to overall generated glucose (G). Under acidic conditions, it was reported that additional pathways for glucose decomposition such as recombination reaction with ASL to form ASL–glucose existed.11,13 The presence of proton in acidic medium causes varying formations of reactive intermediates (e.g. protonized glucose), which would have high affinity for any positively charged molecules, including nucleophilic reaction partners (e.g. ASL).11,13,31 Thus, the active sites on ASL could lead to the condensation of ASL and glucose to form ASL–glucose. Based on this mechanism, with the introduction of parameter β, the portion of glucose compensated to undesired products (e.g. ASL–glucose) was therefore defined as (β) glucose, while the remainder was (1 − β) glucose. Parameter γ reflects the ratio of 5-HMF converted to byproducts (e.g. humins) (Mhumins) to overall generated 5-HMF (M). Previous studies reported that the 5-HMF acid-catalyzed conversion can be primarily described by two parallel reactions: one forming levulinic acid and the remainder forming humins.3,14 Patil and Lund14 demonstrated that the aldol addition and condensation with the involvement of 2,5-dioxo-6-hydroxy-hexanal as the intermediate are the primary reaction mechanism of the acidic catalyzed 5-HMF to humins. The formation of humins, which contain 55–65% carbon, 4–5% hydrogen, and 30–40% oxygen,32,33 contributed to the reduced levulinic acid yield. In this model, the portion of 5-HMF rehydrated to levulinic acid was defined as (1 − γ) 5-HMF, whereas those reacted to undesired byproducts (e.g. humins) was described as (γ) 5-HMF. Introducing these two parameters β and γ into the kinetic model allows the evaluation of the impact of the undesired byproducts (e.g. ASL–glucose and humins) on the production of 5-HMF and levulinic acid from lignocellulosic biomass.
The following assumptions are also made for the proposed model:
(1) The crystallized portion of cellulose is unreactive or reacts extremely slowly.34–38 Glucose and its subsequent degradation compounds are merely generated from the reactive portion of cellulose excluding the crystallized fractions.
(2) ASL–glucose is representative of the major undesired byproducts from glucose.11,13
(3) Humins represent the major undesired byproducts generated from 5-HMF.14
(4) Glucose, 5-HMF and levulinic acid are solely generated from cellulose. Other possible sources such as hemicellulose,39 starch40,41 and free sugars42,43 are excluded in this work since these compounds represent only a small source of glucose in switchgrass compared to cellulose.39–41,43
The kinetic model equations developed from Scheme 2 are described by eqn (9)–(12). Solutions to these equations have been obtained, providing explicit expressions for the yields of cellulose, glucose, 5-HMF and levulinic acid, as demonstrated by eqn (13)–(17).
(9) |
(10) |
(11) |
(12) |
C1−α = (1 − α)C0exp(−k1t) | (13) |
C = Cα + C1−α = αC0 + (1 − α)C0exp(−k1t) | (14) |
(15) |
(16) |
(17) |
Based on the aforementioned definition of α, β and γ, (1 − α), (1 − β) and (1 − γ) represent the ratio of reactive cellulose to cellulose, the ratio of glucose dehydrated to 5-HMF to overall generated glucose, and the ratio of 5-HMF rehydrated to levulinic acid to overall generated 5-HMF, respectively. In this regard, C(1 − α), (1 − β)G and (1 − γ)M representing the yield of reactive cellulose (%), the yield of glucose dehydrated to 5-HMF (%) and the yield of 5-HMF rehydrated to levulinic acid (%) are involved into the kinetic model eqn (9)–(12) instead of C, G and M to precisely depict the generation of glucose, 5-HMF and levulinic acid from cellulose.
(18) |
(19) |
(20) |
In these equations, WGn is the initial weight of glucan (g per 100 g dw raw biomass), WG is the weight of glucose (g per 100 g dw raw biomass), W5-HMF is the weight of 5-HMF (g per 100 g dw raw biomass), WLA is the weight of levulinic acid (g per 100 g dw raw biomass). Molecular weight: MWGn = 162, MWG = 180, MW5-HMF = 126, MWLA = 116.
The cellulose in solid residue after separation was analyzed based on a standard analysis procedure developed by National Renewable Energy Laboratory (NREL),44 which is a two-step acid hydrolysis: the sample was treated with 72% (w/w) H2SO4 at 30 °C for 1 h; the reaction mixture was subsequently diluted to 4% (w/w) H2SO4 and autoclaved at 121 °C for 1 hour. The sugars in liquid after this two-step procedure were then determined by HPLC.
A MATLAB program was used to fit the parameters in eqn (5)–(8) and (13)–(17) to simulate the yields of cellulose residue, glucose, 5-HMF and levulinic acid obtained under tested conditions, respectively.
Fig. 1 showed that cellulose decomposed slowly at relatively low temperatures 140–160 °C. More than 80% and 55% cellulose residues were observed at 140 °C and 160 °C respectively even when the reaction time was prolonged to 60 min. It was found that the cellulose degradation was significantly enhanced as the temperature was elevated to 180 °C at which merely 12.1% cellulose residue remained after 60 min reaction. This abrupt increase in cellulose hydrolysis could be attributed to the disruption of crystallinity of cellulose. Further increasing reaction temperature to 200 °C and 220 °C resulted in the total dissolution of cellulose at 30 min and 10 min, respectively. Correspondingly, Xiang and colleagues29 reported that cellulose was susceptible to degradation when temperature was elevated to 215 °C or above in 0.07 (w/w)% H2SO4 solution. Sasaki et al.49 also found that cellulose was rapidly dissolved and depolymerized in supercritical water at temperatures ranging from 300–320 °C. Dissolution of cellulose during cellulose hydrolysis could result from a temperature-induced disruption of the hydrogen bond existing among the cellulose chains. In this regard, a parameter reflecting the effects of cellulose crystallinity as temperature varies appears essential to be incorporated into the kinetic model.
Fig. 1 Yields of cellulose residue during the 1% (w/w) sulfuric acid hydrolysis of switchgrass at temperature of 140–220 °C. ◆: 140 °C; ■: 160 °C; ●: 180 °C; ▲: 200 °C; ★: 220 °C. |
Fig. 3 Yields of 5-HMF during the 1% (w/w) sulfuric acid hydrolysis of switchgrass at temperature of 140–220 °C. ◆: 140 °C; ■: 160 °C; ●: 180 °C; ▲: 200 °C; ★: 220 °C. |
Temperature (°C) | Conventional model (Model I) | ||||||||
---|---|---|---|---|---|---|---|---|---|
R2 | |||||||||
k1 (min−1) | k2 (min−1) | k3 (min−1) | k′3 (min−1) | k4 (min−1) | Cellulose | Glucose | 5-HMF | Levulinic acid | |
140 | 0.0043 | 0.0136 | 0.0652 | 0.0578 | 0.0009 | 0.963 | 0.985 | 0.989 | 0.985 |
160 | 0.0106 | 0.0336 | 0.1649 | 0.1596 | 0.0013 | 0.979 | 0.980 | 0.982 | 0.995 |
180 | 0.0459 | 0.0706 | 0.4991 | 0.4617 | 0.0092 | 0.987 | 0.978 | 0.977 | 0.995 |
200 | 0.1836 | 0.2036 | 1.6883 | 1.3503 | 0.0133 | 0.998 | 0.976 | 0.986 | 0.965 |
220 | 0.6779 | 0.4510 | 4.7858 | 3.4327 | 0.0181 | 0.994 | 0.973 | 0.925 | 0.918 |
Temperature (°C) | Modified model (Model II) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
R2 | |||||||||||
k1 (min−1) | k2 (min−1) | k3 (min−1) | k4 (min−1) | α | β | γ | Cellulose | Glucose | 5-HMF | Levulinic acid | |
140 | 0.0210 | 0.0111 | 0.0570 | 0 | 0.7294 | 0 | 0 | 0.992 | 0.983 | 0.996 | 0.981 |
160 | 0.0249 | 0.0299 | 0.1406 | 0.0006 | 0.4423 | 0.0639 | 0 | 0.996 | 0.986 | 0.998 | 0.993 |
180 | 0.0602 | 0.0643 | 0.3927 | 0.0019 | 0.1177 | 0.1682 | 0.079 | 0.995 | 0.996 | 0.996 | 0.997 |
200 | 0.1853 | 0.2031 | 1.3754 | 0.0086 | 0.0030 | 0.1835 | 0.1176 | 0.998 | 0.978 | 0.998 | 0.998 |
220 | 0.6810 | 0.4502 | 3.7774 | 0.0110 | 0.0016 | 0.2089 | 0.2310 | 0.994 | 0.979 | 0.990 | 0.986 |
Tables 1 and 2 also present the values of the estimated parameters for the conventional model (Model I) and the modified model (Model II), respectively. At relatively low temperatures (140–180 °C), the values of rate constant k1 determined from the conventional model (Model I) were lower than those determined from the modified model (Model II). Nevertheless, when temperature was raised to 200 °C and 220 °C, the values of k1 obtained from both Model I and Model II were analogous. For example, the value of k1 for Model I was 0.0043 min−1 at 140 °C, compared to 0.0210 min−1 for Model II at identical temperature, while both values of k1 obtained from Model I and Model II increased to 0.1836 min−1 and 0.1853 min−1 at 200 °C, respectively. The relatively higher value of rate constant of cellulose hydrolysis obtained based on Model II was the consequence of the incorporation of parameter α, representing the physical barriers of cellulose (crystallinity of cellulose). In this regard, the cellulose degradation rate constant (k1) obtained based on Model II could particularly reflect the reaction chemistry without the interference of physical limitations (e.g. crystallinity). It was noticeable that the value of k1 for Model I was similar to that for Model II as temperature was elevated to 200 °C or above, indicating the reduction of the crystalline region of cellulose at such temperature levels.
Rate constants k2, k3 and k4 obtained from Model II were lower than those from Model I under the tested conditions. This is the consequence of the introduction of the additional parameters (α, β and γ) representing the crystallinity of cellulose and undesired byproducts (e.g. ASL–glucose and humins) in Model II, which implied that only partial cellulose, glucose and 5-HMF were decomposed to downstream desired byproducts, thereby obtaining the relatively lower degradation rate constants.
Cellulose, as well as its derivatives including glucose, 5-HMF and levulinic acid, displayed significantly different degradation rate constants. The rate constant of glucose degradation (k2) was higher than that of cellulose hydrolysis (k1) at low temperature (e.g. 140–160 °C) for Model I, where the ratio of k2/k1 was approximately 3.0. In comparison, the ratio of k2/k1 for Model II was 0.5–1.2 over an identical temperature range (e.g. 140–160 °C), indicating that without the physical obstacle caused by the hydrogen bonding in cellulose, the hydrolysis rate constant of cellulose could be similar to that of glucose. Elevating the temperature to 200 °C or above resulted in the significant increase in k1. Although k2 was enhanced as well, it increased more slowly than k1, thereby leading to the decrease of the ratio of k2/k1 to around 0.6–1.0 for both Model I and Model II, which implied that higher temperature was favorable for glucose production.
The degradation rate constant of 5-HMF (k3) was especially higher than that of its precursor glucose (k2) obtained from either Model I or Model II. The ratio of k3/k2 is 4.8–10.6 for Model I, and 4.7–8.4 for Model II over the tested temperatures (i.e. 140–220 °C). This result further corroborated the observations reported in previous studies that 5-HMF is susceptible to degradation under acid conditions.51,52 It was also observed that the decomposition rate constant of levulinic acid (k4) was significantly lower than that of its formation (i.e. k′3 for Model I and k3 for Model II). The ratio of k4/k′3 for Model I was merely 0.005–0.020 and the ratio of k4/k3 for Model II was 0.004–0.006 under the temperature range of 140–220 °C, respectively. However, the yield of levulinic acid obtained in this study didn't exceed 60% (Section 4.2.3) although it showed stability under acidic conditions.8 In this regard, the consumption of levulinic acid precursors i.e. glucose and 5-HMF to undesired products like ASL–glucose and humins could play a predominant role in determining the production of levulinic acid.
Apart from parameter α, the value of β and γ were plotted with temperatures ranging from 140–220 °C as well. The value of β was negligible at 140 °C, suggesting few undesired products (e.g. ASL–glucose) formed at low temperature. Apart from few ASL and glucose generated at lower temperatures, the possible explanation could be that the relatively low temperature resulted in less hydronium ions55 causing few protonized glucose to condense with nucleophilic reaction partners (e.g. ASL) (Section 2.2),11,13,31 thereby leading to negligible formation of undesired products (e.g. ASL–glucose). As temperature was elevated, the value of β increased progressively and reached the maximum value 20.9% at 220 °C. This result indicated that the value of β is temperature dependent. Relatively high temperatures could result in higher production of glucose derived undesired products (e.g. ASL–glucose), thereby reducing the yield of 5-HMF generated from the subsequent glucose degradation. Previous researches also reported that the interaction between the glucose and ASL was prone to be severe at relatively high temperatures. For example, Xiang et al.11 compared the glucose degradation under water-only conditions with and without lignin at 200 °C using 0.1% (w/w) sulfuric acid over 5 min. The glucose degradation rate constant in the medium with lignin was around 2 times faster than that without lignin.
The values of γ at low temperatures (i.e. 140–160 °C) were imperceptible, which implied few undesired products (e.g. humins) were generated over this range of temperatures during the tested reaction time (0–60 min). Patil and Lund14 also observed indistinct formation of humins with the assistance of scanning electron microscopy (SEM) when treating 5-HMF with 1% (w/w) H2SO4 at relatively low temperature (135 °C) for 22 min. However, the formation of humins was detected as reaction time was prolonged to 120 min, suggesting that reaction time could affect the production of humins to some extent. It was found that the value of γ increased abruptly to 7.9% when temperature reached 180 °C. As temperature further increased to 200 °C and 220 °C, the value of γ reached 11.8% and 23.1%, respectively. This finding was coincident with the statements proposed by previous studies, i.e. 5-HMF is prone to form other products (e.g. humins) rather than levulinic acid under acidic conditions when the temperature is increased,56,57 thus potentially limiting the production of levulinic acid. Levulinic acid was a stable compound with relatively low degradation rate constant even at high temperature (e.g. 0.0086 min−1 at 200 °C) in 1% (w/w) H2SO4 solution (Table 2). Thus, the formation of parallel product (e.g. humins) is distinguished as the key negative factor in determining the yield of levulinic acid.
Results showed that the value of α was inversely proportional to temperature, thereby higher temperatures with limited α value were favored for the elimination of the crystallinity of cellulose, and the subsequent production of glucose, 5-HMF and levulinic acid. In contrast, the values of β and γ were directly proportional to temperature, which suggested that lower temperatures could be recommended for the reduced production of undesired products (e.g. ASL–glucose and humins), thus favored for the generation of glucose, 5-HMF and levulinic acid.
Change in parameters | Change in glucose yield (%) | Change in 5-HMF yield (%) | Change in levulinic acid yield (%) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T1 | T2 | T3 | T4 | T5 | T1 | T2 | T3 | T4 | T5 | T1 | T2 | T3 | T4 | T5 | |
a T1: 140 °C; T2: 160 °C; T3: 180 °C; T4: 200 °C; T5: 220 °C. | |||||||||||||||
+10% k1 | +0.53 | +1.01 | +1.57 | +1.83 | +1.49 | +0.12 | +0.17 | +0.17 | +0.20 | +0.23 | +0.28 | +1.29 | +1.30 | +0.53 | +0.27 |
−10% k1 | −0.62 | −1.09 | −1.53 | −1.78 | −1.61 | −0.13 | −0.18 | −0.19 | −0.22 | −0.23 | −0.28 | −1.32 | −1.30 | −0.58 | −0.25 |
+10% k2 | −0.47 | −0.92 | −1.51 | −1.69 | −2.08 | +0.15 | +0.17 | +0.19 | +0.22 | +0.23 | +0.31 | +1.09 | +0.96 | +0.42 | +0.40 |
−10% k2 | +0.49 | +0.94 | +1.63 | +1.72 | +2.21 | −0.16 | −0.18 | −0.20 | −0.23 | −0.24 | −0.38 | −1.13 | −1.01 | −0.43 | −0.44 |
+10% k3 | — | — | — | — | — | −0.16 | −0.35 | −0.39 | −0.43 | −0.45 | +0.16 | +0.31 | +0.08 | +0.01 | +0.01 |
−10% k3 | — | — | — | — | — | +0.18 | +0.37 | +0.41 | +0.43 | +0.47 | −0.18 | −0.35 | −0.09 | −0.01 | −0.01 |
+10% k4 | — | — | — | — | — | — | — | — | — | — | 0 | −0.02 | −0.38 | −0.79 | −0.80 |
−10% k4 | — | — | — | — | — | — | — | — | — | — | 0 | +0.03 | +0.39 | +0.80 | +0.78 |
+10% α | −3.55 | −1.49 | −0.43 | 0 | 0 | −0.59 | −0.30 | −0.08 | 0 | 0 | −1.34 | −1.22 | −0.81 | 0 | 0 |
−10% α | +3.55 | +1.48 | +0.43 | 0 | 0 | +0.61 | +0.28 | +0.08 | 0 | 0 | +1.37 | +1.18 | +0.79 | 0 | 0 |
+10% β | — | — | — | — | — | 0 | −0.02 | −0.08 | −0.15 | −0.45 | 0 | −0.14 | −1.21 | −1.72 | −2.08 |
−10% β | — | — | — | — | — | 0 | +0.02 | +0.08 | +0.13 | +0.47 | 0 | +0.15 | +1.21 | +1.78 | +2.03 |
+10% γ | — | — | — | — | — | — | — | — | — | — | 0 | 0 | −0.05 | −1.28 | −2.68 |
−10% γ | — | — | — | — | — | — | — | — | — | — | 0 | 0 | +0.05 | +1.30 | +2.73 |
The glucose yield was related to k1, k2 and α. It was found that the ±10% change of the values of k1 and k2 over the tested temperatures (140–220 °C) resulted in the alteration of maximum glucose yield by around ±0.5% to ±1.5% and ±0.5% to ±2.0%, respectively. By contrast, altering the α parameter by ±10% modified the resulting maximum glucose yield by around ±0.4% to ±3.5% throughout 140–180 °C. This result indicated that the glucose yield was more sensitive to variations in the parameter α than the rate constants k1 and k2, and hence α could be considered as the key factor in controlling the production of glucose under these experimental conditions. However, at elevated temperatures (200 °C and 220 °C), because the value of α was almost negligible, its influence on glucose yield declined to an imperceptible level, thus the glucose production could be predominately controlled by the rate constants k1 and k2. The rate constants k1, k2 and k3 as well as α and β codetermined the 5-HMF yield. Variations in these parameters led to small changes in 5-HMF yield (around 0–±0.6%), which suggested that no factor was compelling in determining the yields of 5-HMF under tested conditions, thereby demonstrating the potential complexity of improving the production of 5-HMF. Changes in all of the parameters in Model II (k1, k2, k3, k4, α, β and γ) impacted upon the levulinic acid yields. A ±10% change in values of rate constant (k1, k2, k3 and k4) resulted in merely 0–±1.3% alteration of levulinic acid yield. Comparatively, ±10% alteration of α, β and γ led to 0–±1.4%, 0–±2.1% and ±0.01–±2.7% variation in levulinic acid yields respectively under the tested temperatures. Results demonstrated that levulinic acid production was more sensitive to variations in the parameters α than other additional parameters (β and γ) and the rate constants (k1, k2, k3 and k4) under lower temperatures (e.g. 140 °C). The sensitivity of the levulinic acid yield to small changes in the additional parameters (e.g. α) became less significant compared with rate constants (e.g. k1 and k2) when temperature was elevated to 160–180 °C. However, when the temperature reached 200–220 °C, the β and γ parameters had the most pronounced impact upon the yield of levulinic acid among all the parameters used in Model II. For example, at 220 °C, changing γ by ±10% resulted in the ±2.7% alteration of levulinic acid yield. In this regard, due to the significant impact of parameters β and γ at higher temperatures (200–220 °C) as well as the apparent influence of parameter α under lower temperatures (e.g. 140 °C) on the production of levulinic acid, medium temperatures, such as 160–180 °C, can be recommended to minimize the negative influence of these parameters (i.e. α, β and γ) on the levulinic acid generation, thereby optimizing its yield. This deduction was demonstrated by the results based on Model II. For example, the maximum levulinic acid yield predicted based on Model II was 63.6% at 160 °C over 90 min, which was higher than that obtained under 200 °C (57.7%).
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