DOI:
10.1039/D4RA05816J
(Paper)
RSC Adv., 2024,
14, 29014-29023
Optimization of diformylfuran production from 5-hydroxymethylfurfural via catalytic oxidation in a packed-bed continuous flow reactor†
Received
10th August 2024
, Accepted 4th September 2024
First published on 12th September 2024
Abstract
DFF's diverse applications in pharmaceuticals, fungicides, and polymer synthesis motivate the development of efficient production methods. This study reports the continuous-flow synthesis of DFF from 5-HMF in a packed-bed reactor. The Box–Behnken design coupled with response surface methodology (RSM) was employed to optimize the reaction parameters (catalyst, solvent, temperature, oxygen flow rate, catalyst amount) for DFF yield. Ru/Al2O3 in toluene proved to be the most effective catalyst–solvent combination. The optimal conditions for DFF production were identified as: 140 °C reaction temperature, 10 ml min−1 oxygen flow rate, and 0.15 g catalyst loading. Under these conditions, a DFF yield of 84.2% was achieved.
Introduction
The global reliance on fossil fuels and fossil-based chemicals and petrochemical products has resulted in significant carbon dioxide emissions, contributing to global warming. Concerns about climate change and the finite nature of fossil reserves have spurred researchers to seek alternative resources.1–3 One promising alternative is biomass, which involves converting biological materials into chemicals and fuels. Biomass-derived chemicals, such as 5-hydroxymethylfurfural (5-HMF),4–6 diformylfuran (DFF),7 and 2,5-furandicarboxylic acid (FDCA),8 offer a sustainable alternative to petroleum-based compounds. As versatile building blocks, they can serve as starting reagents in various industries, producing a wide range of consumer goods such as pharmaceuticals, polymers, resins, solvents, fungicides, and biofuels. Among these, 5-HMF stands out for its versatility and potential as a foundational building block for future biorefineries.
Recently, there has been growing interest in producing DFF from 5-HMF due to DFF's diverse industrial applications. DFF is utilized in sectors such as pharmaceuticals, fungicides, organic catalysts, macrocyclic ligands, and as a monomer for multifunctional polymers.9–12 It can be synthesized from 5-HMF through oxidation or dehydrogenation reactions of the hydroxymethyl group, which require specific reaction conditions to avoid side reactions like excessive oxidation, decarboxylation, ring-opening, and polymerization. For instance, excessive oxidation can lead to by-products such as 5-hydroxymethylfurfural acid (HMFCA) and FDCA.13–19
Previous research has used various oxidants, including H2O2, NaOCl, and BaMnO4, to synthesize DFF from 5-HMF.20–22 These methods required precise quantities of oxidants and generated significant waste. Amarasekara et al. achieved an 86% DFF yield using Mn(III) salen complexes as catalysts in a buffer–CH2Cl2 system at room temperature with NaOCl as the oxidant.23 However, recovering and reusing both the catalyst and solvent proved challenging, as did separating DFF from the reaction mixture. To address these issues, recent research has increasingly used O2 or air as oxidants, improving 5-HMF conversion and DFF selectivity. Nonetheless, the use of homogeneous catalysts remains a barrier to industrial scalability. For instance, Partenheimer et al. employed homogeneous metal bromide catalysts with acetic acid, achieving a 99.7% 5-HMF conversion and 61% DFF selectivity.24 Moreau et al. used V2O5/TiO2 catalysts at 363 K and 1.6 MPa air pressure with toluene as the solvent, yielding an 85% yield.25 Corma et al. reported an 82% DFF yield using immobilized vanadyl pyridine complexes at 403 K.1 Despite these successes, product separation from the solvent remains a cost-intensive process, prompting the development of heterogeneous catalysts for DFF synthesis.
Noble metals like Pt, Au, and Ru have been used as catalysts for oxidizing alcohol functional groups in 5-HMF. For example, Takagaki et al. used Ru(OH)x/HT as a catalyst in N,N-dimethylformamide (DMF), achieving a 92% DFF yield.18 Nie et al. utilized Ru/C in toluene at 383 K and 2.0 MPa O2, resulting in a 96% DFF yield.26 Antonyraj et al. reported a 99% conversion and 97% DFF selectivity using Ru/Al2O3 at 130 °C and 40 psi O2 pressure with toluene.27 However, these studies used batch reactors, which are time-consuming and unsuitable for large-scale applications. Consequently, continuous flow reactors have been adopted to enhance DFF production efficiency. Continuous flow reactors offer reduced operational costs, lower environmental impact, and scalability for industrial use. They also provide flexibility in adjusting reaction times and product properties by varying flow rates or reactant concentrations. Chen et al. explored DFF synthesis from 5-HMF using Cu/Al2O3 in a continuous flow reactor at 260 °C, achieving a 47.7% conversion and 79.2% DFF selectivity.28
In this study, we investigated the synthesis of DFF from 5-HMF using ruthenium supported on Al2O3 and platinum supported on activated carbon as catalysts. The use of heterogeneous catalysts facilitates easy separation from the reaction mixture, reusability, and commercial viability, making them suitable for industrial-scale production. Oxygen served as the oxidizing agent, and the reactions were conducted in a continuous flow reactor, ensuring efficient heat and mass transfer with straightforward scalability. Initially, we examined the effects of different catalysts and solvents. Subsequently, we optimized the reaction conditions, including catalyst quantity, reaction temperature, O2 flow rate, and DFF yield using response surface methodology (RSM).
Methodology
Materials
All chemical reagents used in this work were procured from Sigma-Aldrich, including 5-hydroxymethylfurfural (5-HMF, purity >99%), 5-hydroxymethyl-2-furancarboxylic acid (HMFCA, purity ≥95%), 2,5-diformylfuran (DFF, purity ≥96.5%), 5-formyl-2-furancarboxylic acid (FFCA, purity ≥97%), and 2,5-furandicarboxylic acid (FDCA, purity 97%). Toluene of analytical reagent (AR) grade was obtained from Fisher Scientific. High-performance liquid chromatography (HPLC) grade acetonitrile (ACN) and methanol (MeOH) were utilized for HPLC analysis. Oxygen gas (purity 99.99%), employed as the oxidizing agent, was sourced from Linde (Thailand) PLC. The catalysts employed were 5 wt% metal supported on activated carbon (Ru, Pt/C) and alumina (Ru/Al2O3), acquired from Riogen, Inc.
Catalyst characterization
In this investigation, three varieties of catalyst were employed: 5% weight platinum supported on activated carbon, 5% weight ruthenium supported on activated carbon, and 5% weight ruthenium supported on alumina. The catalysts' crystalline structure was assessed via X-ray diffraction analysis. The surface properties of the catalysts were evaluated utilizing the N2 adsorption–desorption technique employing a 3-Flex surface characterization analyzer (Micromeritics Instrument Corporation model ver. 4.04). The specific surface area was determined applying the Brunauer–Emmett–Teller (BET) theory. Additionally, the total pore volume and average pore size were computed using the Barrett–Joyner–Halenda (BJH) method.
Catalytic oxidation of 5-HMF
Fig. 1 illustrates the schematic representation of the experimental setup employed for the synthesis of DFF. A high-pressure syringe pump (ISCO series 260D) and a mass flow controller were utilized for the delivery of 5-HMF solution and oxygen gas, respectively. Prior to entering the reactor, these two streams were combined at the T-mixer. The reactor, comprising a stainless-steel tube with an inner diameter of 0.386 cm, housed the catalyst particles, packed within a length range of 0.5–1.5 cm (0.5–1.5 g). Quartz wool layers were employed at the front and back ends to secure the catalyst in position. The reaction mixture traversed through the catalyst bed, undergoing the desired reaction. Temperature regulation was achieved by situating the reactor inside a convection oven with precise temperature control. A back pressure regulator (100 psi) facilitated the regulation of pressure within the reactor, and subsequently, the product was collected at various time intervals for further analysis.
|
| Fig. 1 The continuous process for DFF production. | |
Product analysis
Samples underwent assessment via high-performance liquid chromatography (HPLC) to ascertain a range of reaction performance metrics. These included the % conversion of 5-HMF, % selectivity, % yield % productivity, and carbon balance, as detailed in eqn (1)–(5). |
| (1) |
|
| (2) |
|
| (3) |
|
| (4) |
|
| (5) |
where ṅ5-HMF,f and ṅ5-HMF,ini represent the molar flow rate of 5-HMF in the feed and output stream, respectively. ṅproduct is the molar flow rate of product such as DFF, HMFCA, FFCA, and FDCA.
The HPLC system employed for the analysis featured an ultraviolet detector (model 2550, Varian). The analysis was conducted using a reversed-phase C-18 column (Supelco, dimensions 250 mm × 4.6 mm) to quantify the levels of 5-HMF, DFF, HMFCA, FFCA, and FDCA. Column temperature was regulated at 50 °C using a column oven (model TCM-004076, Waters), while the mobile phase consisted of a mixture of ultrapure water (DI water), acetonitrile (ACN), and methanol (MeOH), with 0.025 M sulfuric acid (0.025 M H2SO4), in a ratio of 90:5:5 (DI:ACN:MeOH), flowing at a rate of 0.4 ml min−1. Injection volume was set at 10 μL, and UV detection was performed at a wavelength of 270 nm.
Results
Characterization of catalyst
Fig. 2 displays X-ray diffraction patterns illustrating the distinct features of various catalysts. Analysis of the Pt/C spectrum reveals prominent peaks at 39.52, 45.59, and 67.18°, indicative of Pt crystallinity (ICDD 00-004-082), alongside a peak at 24.52° denoting crystalline carbon (ICDD 00-026-1077). Similarly, the Ru/C spectrum exhibits peaks at 38.52, 44.12, and 68.72° corresponding to crystalline Ru (ICDD 00-006-0663), with an additional peak at 25.23° representing crystalline carbon. The obtained crystallite size from Scherrer's equation29 are 2.83 and 2.12 nm for Pt/C and Ru/C, respectively. In the Ru/Al2O3 spectrum, peaks at 37.23, 42.46, and 47.4° are attributed to γ-Al2O3 (ICDD 00-010-0425), while peaks at 36.49 and 43.22° signify metallic ruthenium. Furthermore, the textural properties of the catalysts were examined via N2 adsorption–desorption isotherms and pulse H2 chemisorption, detailed in Table 1. Notably, while Pt/C and Ru/C demonstrated comparable BET surface areas, Ru/Al2O3 exhibited a reduced surface area coupled with larger pore size.
|
| Fig. 2 The XRD pattern of catalyst (a) Pt/C, (b) Ru/C and (c) Ru/Al2O3. | |
Table 1 The physical properties of catalysts
Catalyst |
SBET (m2 g−1) |
Pore volume (m2 g−1) |
Pore size (nm) |
% Metal dispersion |
Total acid site (μmol g−1) |
Total basic site (μmol g−1) |
Pt/C |
1059.87 |
0.57 |
2.27 |
3.13 |
219.38 |
4.62 |
Ru/C |
1059.37 |
0.57 |
2.27 |
7.57 |
170.68 |
8.57 |
Ru/Al2O3 |
212.92 |
0.58 |
10.61 |
6.89 |
45.58 |
28.17 |
The metal dispersion and total acid/base properties of the catalysts were investigated. Ru/Al2O3 exhibited comparable metal dispersion to Ru/C, whereas Pt/C displayed the lowest dispersion. This lower dispersion of Pt may have contributed to reduced catalytic activity, as a higher dispersion typically affords greater accessibility of reactant molecules to active sites.
Regarding acidity/basicity, Pt/C demonstrated the highest total acidity, suggesting its potential suitability for acid-catalyzed reactions. In contrast, Ru/Al2O3 exhibited the highest total basicity, likely attributed to the intrinsic basicity of the Al2O3 support, making it a promising candidate for base-catalyzed processes.
Fig. 3 presents SEM images of the Pt/C, Ru/C, and Ru/Al2O3 catalysts. Both Pt/C and Ru/C exhibited uniformly dispersed metal particles on a highly porous carbon support (Fig. 3a and b). In contrast, Ru/Al2O3 displayed a similar particle distribution but with a less porous Al2O3 support structure (Fig. 3c).
|
| Fig. 3 SEM-DES of catalysts (a) Pt/C, (b) Ru/C, (c) Ru/Al2O3, (d) Pt particles on C, (e) Ru particles on C and (f) Ru particles on Al2O3. | |
Fig. 4 displays the adsorption isotherms of the investigated catalysts. Pt/C and Ru/C exhibited type I isotherms, indicative of microporous structures, where monolayer adsorption predominates. Conversely, Ru/Al2O3 presented a type IV isotherm, characteristic of mesoporous materials, suggesting multilayer adsorption.
|
| Fig. 4 Isotherm of catalysts. | |
Effect of catalysts
In this study, three distinct catalysts (Pt/C, Ru/C, and Ru/Al2O3) were employed for the synthesis of DFF from 5-HMF. The experiments were conducted at a temperature of 120 °C, with a 5-HMF solution concentration of 5 g L−1 and a flow rate of 0.06 ml min−1, utilizing acetonitrile as the solvent and oxygen gas at a flow rate of 10 ml min−1. The catalyst amount used was 0.05 g. The outcomes are depicted in Fig. 5.
|
| Fig. 5 Impact of catalyst types on reaction performance. Experimental conditions: temperature maintained at 120 °C, 5-HMF solution concentration of 5 g L−1, flow rate of 0.06 ml min−1 for 5-HMF solution, acetonitrile utilized as the solvent, oxygen gas flow rate set at 10 ml min−1, and catalyst quantity of 0.05 g. | |
Pt/C exhibited a low conversion rate of approximately 28% for 5-HMF and yielded only 4% DFF. This can be attributed to Pt/C's high activity for oxidation reactions under basic conditions, as previously reported by Rass et al. who also utilized Pt/C for FDCA synthesis.30 It was observed that elevating the pH in the reaction environment enhanced FDCA yield. Hence, Pt/C's reactivity is diminished in free-base conditions.
Ru/Al2O3 and Ru/C catalysts yielded higher % conversion and % yield for DFF. Remarkably, Ru/Al2O3 outperformed Ru/C in both % conversion and % yield for DFF. This superiority can be attributed to Al2O3's basic properties, which promote oxidation reactions. Additionally, the high specific surface area of activated carbon (Ru/C) likely results in increased 5-HMF adsorption affinity compared to Al2O3-supported catalysts. Consequently, oligomeric byproducts may form, covering active catalyst sites and leading to undesirable reactions. This aligns with previous research by Artz et al. (2015), indicating strong 5-HMF adsorption on Ru/C surfaces at room temperature without undergoing oxidation reactions.31
Side reactions were evident in the system, indicated by the carbon balance. Notably, the carbon balance for Ru/Al2O3 was approximately 78%, suggesting significant suppression of side reactions. Consequently, Ru/Al2O3 was selected for further exploration of operating condition effects in this study.
Effect of solvent
To explore the impact of solvents on the oxidation reaction of 5-HMF in a continuous flow reactor aimed at synthesizing DFF, a range of solvents including DI water, acetonitrile, DMSO, and toluene were individually employed. Results are summarized in Fig. 6. The experimental conditions included a reaction temperature of 120 °C, a flow rate of 5-HMF solution (5 g L−1) set at 0.06 ml min−1, oxygen gas flow rate of 10 ml min−1, and catalyst amount of 0.05 g, utilizing Ru/Al2O3 as the catalyst.
|
| Fig. 6 Impact of solvent on reaction performance. Experimental conditions: temperature maintained at 120 °C, 5-HMF solution concentration of 5 g L−1, flow rate of 0.06 ml min−1 for 5-HMF solution, oxygen gas flow rate set at 10 ml min−1, and catalyst quantity of 0.05 g (Ru/Al2O3). | |
Observations revealed that employing DMSO as a solvent led to the lowest 5-HMF conversion and DFF yield. This may be attributed to DMSO's highly polar aprotic nature within the solvent category utilized in this study.32,33 DMSO's weakly acidic properties could potentially catalyze the conversion of 5-HMF into higher molecular weight products, such as humins,26 thereby diminishing its interaction with the catalyst, as suggested by Chen et al.'s investigation.28
Conversely, utilizing DI water as a solvent resulted in overly vigorous reactions due to its propensity for hydration reactions with the aldehyde functional groups of 5-HMF and DFF, leading to the formation of geminal diols.26,29,34 Additionally, further oxidation reactions ensued, converting them into corresponding carboxylic acids like FFCA and FDCA. These compounds adhered to the catalyst surface, diminishing its activity and resulting in decreased % conversion and % yield.27
Both acetonitrile and toluene exhibited comparable reaction performances concerning 5-HMF conversion and DFF yield. However, acetonitrile as a solvent promoted the % yield of FFCA due to its superior oxidation potential compared to toluene.33,35 Consequently, toluene was selected as the solvent for subsequent experiments in this study, as the formation of FFCA with acetonitrile would lead to compound deposition on the catalyst surface, reducing its reactivity over time. Moreover, the relatively lower cost of toluene enhances the economic feasibility of the process. Although toluene may raise environmental concerns, its recyclability in this process through vacuum-assisted evaporation followed by condensation offers a potential solution.
Optimization
The Box–Behnken Design (BBD) and response surface methodology (RSM) were utilized to explore the impacts of all variables on the response (dependent variable) and to optimize the operational conditions for synthesizing DFF from 5-HMF using Ru/Al2O3 as the catalyst in a continuous flow reactor. Examination of residual value distribution, as illustrated in Fig. 7A, indicates that the residuals of percentage yield are closely scattered around the straight line, suggesting a lack of abnormal patterns and allowing for the assumption of a normal distribution. To evaluate residual independence, a scatter plot was employed to observe the distribution characteristics of data points on the graph, as shown in Fig. 7B, revealing no discernible pattern in the residuals, indicating a lack of independence in the data. Assessment of variance stability via scatter plots of residuals at different factor levels, depicted in Fig. 7C, indicates a normal distribution of residuals in both positive and negative directions, suggesting stable variance within the data. Therefore, the experimental data is deemed accurate and suitable for analyzing the coefficient of determination (R2).
|
| Fig. 7 Residual plots for DFF yield (A) normal probability of the residuals, (B) residuals versus the order of the data and (C) residuals versus the fitted values. | |
In this investigation, three key variables influencing the oxidation reaction of 5-HMF were examined: temperature (X1), the flow rate of oxygen gas (X2), and the catalyst amount (X3). Each variable was explored at three distinct levels: low (−1), medium (0), and high (+1). The yield of DFF (Y), a critical parameter indicating the quantity of DFF generated, was chosen as the response variable. The relationship between these factors and the response (Y; % yield of DFF) can be represented by a polynomial equation, as described in eqn (6).
|
Y = −4.5 + 0.113X1 + 2.238X2 − 137X3 + 787X32 − 0.01644X1X2 + 1.733X1X3 − 5.45X2X3 + 787X32
| (6) |
The statistical significance of the model was evaluated using analysis of variance (ANOVA), detailed in Table 2. The fitted equation yielded a p-value below 0.05, indicating significance at a 95% confidence level. Table 2 summarizes the main and interaction factors alongside their corresponding p-values, highlighting factors with p-values less than 0.05 as statistically significant.
Table 2 Analysis of variance for main and interaction effects and the fitted polynomial regression model
Source |
Degrees of freedom |
Sum of squares |
Mean squares |
p-Value |
Remark |
X1 |
1 |
1922.64 |
1922.64 |
0.000 |
Significant |
X2 |
1 |
63.08 |
63.08 |
0.000 |
Significant |
X3 |
1 |
567.61 |
567.61 |
0.000 |
Significant |
X1X1 |
1 |
7.16 |
7.16 |
0.171 |
Not significant |
X2X2 |
1 |
10.52 |
10.52 |
0.101 |
Not significant |
X3X3 |
1 |
28.57 |
28.57 |
0.010 |
Significant |
X1X2 |
1 |
86.45 |
86.45 |
0.000 |
Significant |
X1X3 |
1 |
24.03 |
24.03 |
0.017 |
Significant |
X2X3 |
1 |
59.31 |
59.31 |
0.001 |
Significant |
R2 |
|
|
97.63% |
|
|
R2(adj) |
|
|
96.38% |
|
|
R2(pred) |
|
|
93.24% |
|
|
The coefficient of determination (R2) quantifies the proportion of variability in the dependent variable explained by the independent variables in the regression equation. In this analysis, the R2 value stands at 97.63%, indicating that the independent variables can account for 97.63% of the variability or changes in the dependent variable. This suggests the model's suitability for accurate predictions of DFF yield.
Utilizing the model, operating conditions for DFF synthesis from 5-HMF were optimized based on DFF yield. Under the identified optimal conditions (reaction temperature of 140 °C, oxygen flow rate of 10 ml min−1, and catalyst quantity of 0.15 g), a DFF yield of 85.41% was achieved. To validate the prediction accuracy, the reaction was conducted at these optimal conditions, resulting in a DFF yield of 86.68%. This closely aligns with the predicted value, exhibiting a marginal deviation of 1.7%, which falls within an acceptable error margin (not exceeding 5%).
Effect of variables on the response
In Fig. 8a, we depict the combined influence of reaction temperature and oxygen flow rate on DFF yield in a continuous flow reactor containing 0.1 g of Ru/Al2O3 catalyst. Elevated reaction temperatures are shown to enhance DFF yield due to the increased rate of 5-HMF oxidation at higher temperatures. The effect of oxygen flow rate varies depending on the specific combination of reaction temperature and oxygen flow rate. At relatively low temperatures, an increase in DFF yield is noticeable with rising oxygen flow rates. The oxygen flow rate has a dual effect on 5-HMF conversion, positively impacting oxidation reactions by increasing oxygen content while decreasing contact time between reacting molecules and catalyst active sites. Consequently, the influence of oxygen flow rate on yield is relatively minor, particularly at high temperatures where reactions operate at high conversion levels. Examining the interaction between reaction temperature and catalyst quantity in DFF synthesis (Fig. 8b), simultaneous increases in both parameters result in higher DFF yield. This is attributed to the enhanced reaction rate with rising temperature and extended contact time with increased catalyst quantity. For instance, tripling the catalyst amount effectively triples contact time, facilitating a more favorable interaction between 5-HMF and catalyst, thereby improving DFF yield.
|
| Fig. 8 Response surface and contour plots illustrating the yield of DFF utilizing the Box–Behnken design, achieved by plotting (a) oxygen flow rate versus reaction temperature, (b) catalyst amount versus reaction temperature, and (c) catalyst amount versus oxygen flow rate. | |
Fig. 8c illustrates the combined impact of oxygen flow rate and catalyst quantity. An increase in DFF yield is observed with higher oxygen flow rates when catalyst amount is low, but this effect diminishes with larger catalyst quantities, particularly in high conversion regions. The positive effect of increased oxygen flow is overshadowed by high 5-HMF conversion. For instance, elevating the oxygen flow rate from 10 to 30 ml min−1 resulted in a decrease of 0.54 seconds (63%) in contact time, yet the DFF yield remained relatively constant. Conversely, the impact is significant when both oxygen flow rate and catalyst quantity are low, operating in low conversion regions. However, the cost of catalyst, a significant contributor to production costs, necessitates careful consideration when selecting operating conditions. For instance, achieving a 64% yield required a catalyst amount of 0.05 g with an oxygen flow rate of 30 ml min−1.
Purification of DFF
The crude DFF product obtained from 5-HMF oxidation was purified by rotary evaporation at 60 °C under a vacuum of −14.5 psi. Subsequent HPLC analysis against a DFF standard indicated a purity of 87%. To enhance process sustainability and economic viability, solvent recycling was implemented to significantly reduce toluene consumption. Despite toluene's environmental concerns, its volatility enabled effective recovery and reuse. A schematic representation of the integrated DFF production process incorporating solvent recycling is presented in Fig. 9. This continuous process produces high-purity DFF suitable for practical applications. The crude DFF stream from the packed-bed reactor is fed to the evaporator. The purified product is collected, while the condensed toluene vapor was recycled by reintroduction into the 5-HMF feed solution using a high-pressure pump.
|
| Fig. 9 Schematic diagram illustrating the conceptual production process of DFF. | |
Stability of catalyst
The catalyst's stability was evaluated by conducting reactions under optimal conditions for DFF synthesis from 5-HMF: a temperature of 120 °C, an oxygen flow rate of 10 ml min−1, and a catalyst amount of 0.15 g. Product was collected every 2 h throughout the experiment, with results depicted in Fig. 10. Following a 12 h duration, the percentage yield of 5-HMF decreased from 86.86% to 83.44%, marking a 3.7% reduction. This suggests that the Ru/Al2O3 catalyst remained relatively stable under optimal conditions for DFF production in the continuous flow reactor.
|
| Fig. 10 Reaction performance of DFF synthesis over Ru/Al2O3 catalyst over an extended period. | |
A comparison of the spent (optimal conditions) and fresh catalysts revealed a minimal decrease in surface area from 212.92 to 199.59 m2 g−1. Furthermore, the SEM images in Fig. 11 demonstrate that the morphology of the spent catalyst remained largely intact, indicating the catalyst's durability. The diminishing DFF yield over time may be attributed to polymerization reactions, leading to humins formation. Consequently, these species partially cover the catalyst's active sites, impeding reactions as time-on-stream increases. Antonyraj et al.27 employed Ru/Al2O3 as a catalyst for DFF synthesis from 5-HMF. Upon analyzing the spent catalyst using IR analysis techniques, organic substances adsorbed on the catalyst surface were observed. This inhibition of oxidation reactions resulted in decreased 5-HMF conversion and DFF yield. However, treatment with NaOH followed by subsequent reaction revealed the catalyst's regained efficiency in effectively promoting the reaction.
|
| Fig. 11 SEM of (a) fresh and (b) spent catalysts. | |
Comparison of process performance
The performance of our system in terms of 5-HMF conversion, DFF yield, reaction time, and productivity under optimal conditions was compared with literature data, as summarized in Table 3. Previous research primarily utilized batch reactors, known to require longer reaction times compared to packed-bed reactors to achieve similar conversions. Tong et al.38 synthesized DFF from 5-HMF using the CuI + HBT catalytic system, yielding a conversion and selectivity of 93.2% and 99%, respectively. However, despite the reaction time extending up to 10 h, productivity remained relatively low. In continuous flow reactor systems, reaction times (residence times) can be significantly shorter than those in batch systems due to minimal back-mixing, facilitating rapid reactions and potentially superior productivity, as demonstrated in Table 3.
Table 3 Comparison of DFF synthesis using different systems
Catalyst |
Reaction conditions (temperature/reaction time/solvent) |
Conversion (%) |
Selectivity (%) |
Productivity (molDFF gcat.−1 h−1) |
Reactor |
α-MnO2 |
140 °C/4 h/isopropanol |
93.2 |
84.3 |
3.9 × 10−3 |
Batch36 |
α-MnO2 |
140 °C/4 h/H2O |
60.9 |
78.2 |
2.4 × 10−3 |
Batch36 |
α-MnO2 |
140 °C/4 h/acetonitrile |
81.2 |
76.8 |
3.1 × 10−3 |
Batch36 |
Mn6FeOx |
110 °C/5 h/DMF |
97 |
98 |
2.3 × 10−3 |
Batch37 |
MgOMnO2CeO2 |
110 °C/10 h/H2O |
98.8 |
95.2 |
2.1 × 10−4 |
Batch34 |
CuI + HBT |
130 °C/10 h/DMSO |
93.2 |
99 |
9.2 × 10−5 |
Batch38 |
1.8 wt% Ru/Al2O3 |
120 °C/4 h/toluene |
100 |
97 |
1.3 × 10−3 |
Batch27 |
CuZnAl |
260 °C/0.75 h/H2O |
67.6 |
48.1 |
0.016 |
Flow28 |
5 wt% Ru/Al2O3 |
140 °C/1.04 s/toluene |
99 |
85.05 |
2.0016 |
Flow |
Chen et al. conducted DFF synthesis from 5-HMF using CuZnAl as the catalyst in a continuous flow reactor.28 Although productivity improved considerably compared to batch systems, reaction temperature needed to be raised to 260 °C. Water was employed as a solvent in their research to effectively facilitate oxidation reactions. However, overoxidation and side reactions led to relatively low selectivity (48.1%) and productivity (0.016 molDFF gcat.−1 h−1). Our study utilized Ru/Al2O3, which remains active even at lower temperatures. Operating at 140 °C significantly reduces energy consumption compared to 260 °C. High conversion and selectivity were achieved within a residence time of 1.04 s, resulting in much higher productivity (2.0016 molDFF gcat.−1 h−1) compared to literature data.
Compared to other studies, our findings have the potential to enhance production capacity and be applied to large-scale industrial DFF production from 5-HMF. This is due to shorter reaction times, relatively lower reaction temperatures, high DFF yield and selectivity, as well as the high stability and productivity of the catalyst used in our study compared to literature sources.
Conclusion
In this study, the synthesis of DFF from 5-HMF utilizing catalytic reaction acceleration in a continuous flow reactor was explored across various parameters, including catalyst type (Pt/C, Ru/C, Ru/Al2O3), reaction temperature (100–140 °C), oxygen gas flow rate (10–30 ml min−1), and catalyst quantity (0.05–0.15 g). Optimization of operating conditions was conducted using the Box–Behnken Design (BBD) method in conjunction with Response Surface Methodology (RSM), elucidating the impact of these conditions and identifying the best parameters through predictive modeling. The yield of DFF was notably influenced by reaction temperature, oxygen gas flow rate, and catalyst quantity, both individually and through their interaction effects. Optimal conditions for DFF synthesis in the continuous flow reactor were determined to be a temperature of 140 °C, an oxygen gas flow rate of 10 ml min−1, and a catalyst quantity of 0.15 g. The exceptional productivity achieved in the continuous flow reactor employing Ru/Al2O3 catalyst under these optimal conditions was confirmed and benchmarked against existing literature data.
Data availability
The data supporting this article have been included as part of the ESI.†
Conflicts of interest
There are no conflicts to declare.
Acknowledgements
The authors acknowledge the financial support from the 2-Institution Co-Research Scholarship provided by Kasetsart University and National Chung Hsing University, grant No. 32022.
Notes and references
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