Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Facile synthesis of polyoxometalates tethered to post Fe-BTC frameworks for esterification of free fatty acids to biodiesel

Qiuyun Zhang *ac, Xiaofang Liub, Tingting Yanga, Caiyan Yuea, Quanlin Pua and Yutao Zhang*ac
aSchool of Chemistry and Chemical Engineering, Anshun University, Anshun 561000, Guizhou, China. E-mail: sci_qyzhang@126.com
bFood and Pharmaceutical Engineering Institute, Guiyang University, Guiyang 550005, China
cEngineering Technology Center of Control and Remediation of Soil Contamination of Provincial Science & Technology Bureau, Anshun University, Anshun, 561000, Guizhou, China. E-mail: zyt0516@126.com

Received 26th December 2018 , Accepted 6th March 2019

First published on 13th March 2019


Abstract

A phosphomolybdic acid (PMA) was sequentially incorporated into highly porous metal–organic frameworks (MOFs, Fe-BTC) by using a facile one-pot synthesis method, and the prepared composite (PMA/Fe-BTC) was employed as an efficient and stable solid acid catalyst for biodiesel production. N2 adsorption–desorption, X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric (TG) analysis, scanning electron microscopy (SEM) and transmission electron microscopy (TEM) characterization techniques were employed to reveal the structure–performance relationship. The effects of reaction parameters like catalyst amount, reaction time and temperature were further investigated. This solid acid gave good catalytic performance in the esterification of free fatty acids with methanol, which is attributed to large surface area and thermal stability. The PMA/Fe-BTC was successfully reused for up to six cycles and exhibited high stability. From the kinetic study performed at different reaction temperatures (140 °C, 150 °C and 160 °C) Ea = 49.5 kJ mol−1 was obtained. In addition, due to the high activity presented in various esterifications of free fatty acids, this composite catalytic material has immense potential for industrial biodiesel production.


1. Introduction

Over the past decades, environmental and energy issues caused by excessive combustion of fossil fuels have aroused wide attention among researchers, and alternative renewable energy sources such as sunlight, wind and biofuels are encouraged to be developed.1,2 Among the renewable biofuels, biodiesel is considered a promising renewable source of energy alternative to fossil fuel due to its availability of feedstock, carbon-neutrality, biodegradable, low emission of carbon dioxide, free of sulphur, possession of similar physical and chemical properties to those of petrodiesel and facilitating its direct usage in existing diesel engines with little or no modification.3 Generally, biodiesel (fatty acid methyl esters, FAMEs) is obtained from vegetable oils,4 animal fats5 and microalgal lipids6 by the process of esterification or transesterification. The current employed conventional method is no longer sustainable considering the high cost of food grade vegetable oils which account for more than 70% of the total cost of biodiesel production.7,8

More importantly, non-edible oils and waste cooking oils are more preferable as feedstocks for biodiesel production of commercial scale due to their low cost. However, non-edible oils and waste cooking oils usually contain large amount of free fatty acids (FFAs) are not suitable for base catalytic produce biodiesel because of serious saponification.9,10 Thus, great efforts directed towards the development of acidic catalysts have been made to catalyze esterification of FFAs. According to previous researches,11 the esterification of long chain carboxylic acids such as oleic acid, lauric acid and palmitic acid can represent well the biodiesel production process, because this compound is present in most of the oil plants (rapeseed, soybean, sunflower, palm, Jatropha curcas, etc.). Unfortunately, liquid acids catalytic system such as HCl, H2SO4, H3PO4 suffer problems of environmental pollution, equipment corrosion and inconvenient recycling.12,13 These drawbacks could be overcome by using solid acid catalysts instead of liquid mineral acids. In the past few years, there has been exhaustive investigations focused on the search of solid acid catalysts for the esterification, including sulfonic acid-functionalized solid acid,14 sulphated zirconia,15 heteropolyacids,16 metal oxides,17 zeolite,18 metal modified graphene oxide composite,19 etc. But, these solid acid catalysts show that the disadvantages of poor mass transfer, low thermal stability and low acidity.

The heteropolyacids (HPAs) were validated to be proper for esterification owing to the advantages of structural diversity, thermal stability, strong Brønsted acids and high oxidizing ability.20,21 However, HPAs also have some drawbacks, such as very high solubility in polar solvents and low specific surface area, which limit their application of the catalytic field.22 In order to overcome these disadvantages, the exchange of protons of HPAs with different cations results in formation of insoluble salts and the immobilization of HPAs could be acted as efficient strategy for the catalytic reaction. Now, different supports have been explored to design HPA-immobilized solid acid catalysts for various organic transformations, including SiO2,23 montmorillonite K10,24 mesoporous polymer of PDVB-VBC,25 or MCM-41.26 Unfortunately, the high solubility of HPAs in polar solvents and weak interaction between active HPAs and supported makes it relatively difficult to be immobilized on the above materials. Therefore, encapsulation of HPAs in cages and the pores of porous host framework can improve the interaction and avoid the leach of HPAs during different liquid medium operations.

Recently, metal–organic frameworks (MOFs) are a novel group of materials with controllable composition, designation, flexibility and easy preparation, a large number of uniformly sized micropores and large surface area.27,28 Various properties of MOFs have been applied to different fields, such as catalysis, gas adsorption, separation, electronic and optical properties.29–31 Due to the MOFs are highly designable, they have significant potential as a novel host materials for small guest molecules. Fujie, et al.32 reported an IL incorporated into the micropores of ZIF-8 and the phase behavior of the IL inside of the ZIF-8 micropores, and this result provides a novel strategy for stabilizing the liquid phase of the ILs down to a lower temperature region. Tharun, et al.33 prepared a novel material IL-ZIF-90 by the covalent post-functionalization of n-ZIF-90 via grafting IL, and made use as a catalyst for the solvent less cycloaddition reaction to CO2 with various epoxides to provide cyclic carbonates, it shows excellent CO2 transforming capability.

In this work, we present a one-pot route to synthesis a series of HPAs tethered to post Fe-BTC frameworks composite as solid acid catalysts for a process of industrial and environmental relevance such as biodiesel production of oleic acid with methanol through esterification. The structures of the composite were analyzed by N2 adsorption–desorption, X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric (TG) analysis. Onward the effect of various process parameters have also been studied i.e., catalyst amount, FFAs to methanol molar ratio, reaction temperature and time. Meanwhile, the kinetic parameters of the reaction, along with catalyst reusability were discussed. Eventually, esterification of different free-fatty acids with methanol is also carried out to validate compatibility of the solid acid catalyst.

2. Experimental

2.1. Materials

Iron(III) nitrate nonahydrate (Fe(NO3)3·9H2O, AR), phosphomolybdic acid (H3PMo12O40, PMA, AR), 1,3,5-benzene tricarboxylic acid (H3-BTC) (AR), absolute ethanol (AR), oleic acid (AR), methanol (AR, >99%), lauric acid (AR, 98%), stearic acid (AR, 98%), myristic acid (AR, 98%), palmitic acid (AR, 98%) and methanol (AR, >99%), were purchased from Sinopharm Chemical Regent Co., Ltd. All other chemicals were of analytical grade and used as received, unless otherwise noted.

2.2. Materials preparation and characterization

The materials were prepared according to the literature method with slight modifications.34 A solution was prepared by dissolving Fe(NO3)3·9H2O (3.0 mmol, 1.21 g) and phosphomolybdic acid (PMA, 0.55 mmol, 1.0 g) in 12 mL of distilled water in a Teflon liner, and then H3-BTC (3.0 mmol, 0.63 g) was added. After stirring at room temperature for 30 min, the Teflon liner was sealed in a stainless-steel autoclave and maintained at 120 °C for 6 h. After the heat treatment, the autoclave cool naturally to room temperature, the resultant solid was isolated by centrifugation and then washed in 150 mL of ethanol to remove unreacted H3-BTC. Then, the powder was then treated with boiling ethanol for 3 h several times. Follow, the obtained composite was centrifuged and dried in an oven at 60 °C for 24 h (denoted as PMA/Fe-BTC). For comparison, Fe-BTC sample without PMA was also synthesized under the same conditions and denoted as Fe-BTC. The obtained catalysts were dried at 120 °C before use for the catalytic esterification reaction. The XRD patterns of the catalysts were obtained using a Rigaku D/max 2000 ultima plus diffractometer (monochromatic nickel filter, Cu Kα radiation). The FT-IR spectra was scanned on a PerkinElmer spectrum 100 using the KBr disc technique (4000–400 cm−1). Thermogravimetric (TG) analysis was performed on NETZSCH/STA 409 PC Luxx simultaneous thermal analyzer with a heating rate of 5 °C min−1 under an air flow rate of 20 mL min−1. The BET surface area, total pore volume and pore size distribution of the catalyst were determined with Micromeritics ASAP 2020 V4.02 volumetric adsorption analyzer. Scanning electron microscopy (SEM) images were obtained on JEOL-6701F scanning electron microscope at 10.0 kV. Transmission electron microscopy (TEM) was performed on a JEOL 2100F electron microscope operated at 200 kV.

2.3. The esterification test

The catalytic properties of PMA/Fe-BTC were measured by esterification of oleic acid with methanol. Oleic acid (about 2.82 g), dehydrated methanol and catalyst were reacted in a stainless steel high-pressure autoclave reactor containing a magnetic stirrer and temperature controller by oil bath system, and the resulting mixture was heated at 160 °C for 3 h under autogenous pressure (1.0–1.2 MPa). After the reaction, the catalysts were separated by centrifugation and washed with methanol. Then, catalyst was directly used for next run. Besides, the reaction products were purified under reduced pressure to remove the excess methanol, and were examined by titration with 0.1 N KOH using phenolphthalein indicator to determine the acid value (AV) by following formulas referring to ISO 660-2009 standard. From the acid value, the conversion to oleic acid can be obtained by the following equation.
 
image file: c8ra10574j-t1.tif(1)
AV1 – acid value of raw materials; AV2 – acid value of esterification product.

3. Results and discussion

3.1. Characterization

3.1.1. XRD analysis of catalyst. X-ray diffractometer (XRD) of the pristine PMA, Fe-BTC and PMA/Fe-BTC catalyst is given in Fig. 1. Pristine PMA showed seven main diffraction peaks at 7.6°, 25.9° and 28.0°, which can be attributed to the structure of Keggin anion. For the Fe-BTC sample, the spectra are in good agreement with previous literature reports,35 but the prepared material demonstrated low crystallinity. With the introduction to the PMA species, some diffraction peaks corresponding to PMA were observed in the PMA/Fe-BTC sample and no noticeable changes in the crystal structure, probably suggesting that the PMA clusters are mainly encaged within the Fe-BTC cavities. Noteworthy, the intensity of diffraction peaks corresponding to PMA were observed in the PMA/Fe-BTC are obvious higher than these in pristine PMA, which suggests that there may exist few PMA crystals on the outer surface of Fe-BTC. Based on above analysis, this suggest the successful synthesis tethered post Fe-BTC materials.
image file: c8ra10574j-f1.tif
Fig. 1 XRD patterns of pristine PMA, Fe-BTC and PMA/Fe-BTC catalyst.
3.1.2. FT-IR analysis of the catalyst. The FT-IR spectrum of pristine PMA, Fe-BTC and PMA/Fe-BTC samples are displayed in Fig. 2. For Fe-BTC and PMA/Fe-BTC, the peaks at approximately 1718 cm−1, 1636 cm−1, 1585 cm−1, 1454 cm−1 and 1383 cm−1, corresponding to the presence of –COOFe metallic esters in this compound. Among them, two characteristic bands of 1636 cm−1 and 1585 cm−1 were attributed to the splitting of the coordinated –CO2− vibrations, 1718 cm−1 was attributed to C[double bond, length as m-dash]O stretching mode. In addition, the characteristic bands of 759 cm−1 and 710 cm−1 can be assigned to the existence of C–CO2 bond in the framework material, our results came close to previously reported results.36 When the PMA is encaged onto the Fe-BTC framework, pristine PMA and PMA/Fe-BTC also contain such bands. In the case of pristine PMA, the strong absorption of PMA with Keggin structure band of 1064 cm−1, 968 cm−1, 874 cm−1 and 787 cm−1 can be assigned to the P–O, Mo[double bond, length as m-dash]O, Mo–Oc–Mo and Mo–Oe–Mo asymmetric stretching vibrations, respectively.37 Comparing with that of pristine PMA, PMA/Fe-BTC exhibits similar four characteristic vibration peaks at 1064 cm−1, 968 cm−1, 874 cm−1 and 814 cm−1. All the results suggest that PMA has been successfully encaged into the cavities of Fe-BTC and the classical Keggin structures were retained.
image file: c8ra10574j-f2.tif
Fig. 2 FT-IR spectra of pristine PMA, Fe-BTC and PMA/Fe-BTC catalyst.
3.1.3. TG analysis of the catalyst. Thermal stability is of significant importance of materials used as ingredients of solid catalysts. PMA/Fe-BTC sample was subjected to thermogravimetry (TG) analysis to evaluate its thermal stability as shown in Fig. 3. As shown in Fig. 3, the 15.5% loss in the range of 40 °C to 155 °C can be assigned to the loss of water molecules. The second weight loss (5.7%) ranging from 155 °C to 400 °C is due to the thermal decomposition of constitutional water (H3O+) from PMA. Remarkably, further weight loss (25.0%) from 400 °C to 700 °C was mainly ascribed to the thermal decomposition of organic BTC ligands. On the basis of these results, it can be demonstrated that the PMA/Fe-BTC material was highly thermal stable below 400 °C and the incorporation of PMA had no significant effect on its thermal stability, and has immense potential for esterification reaction of biodiesel production.
image file: c8ra10574j-f3.tif
Fig. 3 TG analysis of PMA/Fe-BTC catalyst.
3.1.4. BET analysis of the catalyst. Detailed textural properties of the PMA/Fe-BTC catalyst was determined from N2 sorption isotherms. The results showed the PMA/Fe-BTC catalyst possessed large measured surface area (108.3 m2 g−1) and an average pore diameter of 2.9 nm with a narrow pore size distribution.
3.1.5. SEM and TEM analysis of the catalyst. SEM was then applied to investigate the morphological properties of pristine PMA, and Fe-BTC, PMA/Fe-BTC (see Fig. 4a–c). As shown in Fig. 4a and b, the SEM micrograph of pristine PMA showed some agglomerates with undefined shapes and mixture of larger, and the Fe-BTC showed nearly spherical shapes in the aggregates of the irregular intergrown crystallites. After encapsulation process of the PMA (see Fig. 4c), the surface of PMA/Fe-BTC becomes uneven shapes and more coalesced, and cannot be distinguished from each other. The characterization results suggested that the pristine PMA encapsulated onto the surface of Fe-BTC. In addition, TEM was also employed to elucidate the morphologies of the synthesized PMA/Fe-BTC catalyst (see Fig. 4d). As observed, PMA/Fe-BTC displays an irregularity shape with a rough surface, which was consistent with SEM analysis. The SEM and TEM provided proof of the successful preparation of PMA tethered to post Fe-BTC frameworks.
image file: c8ra10574j-f4.tif
Fig. 4 SEM images of pristine PMA (a), Fe-BTC (b), PMA/Fe-BTC (c) catalyst and TEM images of the PMA/Fe-BTC (d) catalyst.

3.2. Esterification of oleic acid with methanol

3.2.1. Effect of oleic acid to methanol molar ratio. As we all know, the esterification reaction could be accelerated by increasing the amount of methanol. Therefore, we try to further explore the effects of the oleic acid to methanol molar ratio for PMA/Fe-BTC catalyst, the esterification experiments were conducted by changing the molar ratio from 1[thin space (1/6-em)]:[thin space (1/6-em)]4 to 1[thin space (1/6-em)]:[thin space (1/6-em)]24, while keeping the temperature, time and the catalyst loading constant at 160 °C, 3 h and 10 wt%, respectively. As shown in Fig. 5a, when the molar ratio increased from 1[thin space (1/6-em)]:[thin space (1/6-em)]4 to 1[thin space (1/6-em)]:[thin space (1/6-em)]16, the conversion of methyl oleate rose significantly from 52.1% to 72.3% after the reaction for 3 h. However, it was observed that altering the oleic acid/methanol molar ratio in the 1[thin space (1/6-em)]:[thin space (1/6-em)]20 to 1[thin space (1/6-em)]:[thin space (1/6-em)]24 ratio range had no significant effect on the conversion. Thus, a molar ratio 1[thin space (1/6-em)]:[thin space (1/6-em)]16 of oleic acid to methanol was observed to be the optimum.
image file: c8ra10574j-f5.tif
Fig. 5 The esterification of oleic acid by catalyst PMA/Fe-BTC at different reaction conditions (effects of molar ratio (a), catalyst amount (b), time (c) and temperature (d) on the oleic acid esterification conversion).
3.2.2. Effect of catalyst loading. The catalyst loading was also an important parameter affecting the esterification of biodiesel production. Fig. 5b illustrates the change of esterification conversion as a function of catalyst loading with oleic acid to methanol molar ratio 1[thin space (1/6-em)]:[thin space (1/6-em)]16, reaction temperature 160 °C and reaction time 3 h. The mass ratio of the PMA/Fe-BTC catalyst to oleic acid was varied within the range of 1–12 wt%. When the catalyst loading increased from 1 to 10 wt%, esterification conversion was raised from 40.9% to 72.3%, this is due to the availability of active species. Above 10 wt% catalyst loading, a marginal rise in the conversion of methyl oleate was observed. Depending on the results, it can be deduced that 10 wt% catalyst loading of PMA/Fe-BTC can provide enough active acidic sites for the esterification, and the excessive acidic sites are not necessary. Similar observations were reported earlier.38 Hence, further reactions were performed at the optimum catalyst loading of 10 wt%.
3.2.3. Effect of reaction time. 2To further evaluate the catalytic performance of PMA/Fe-BTC, its catalytic activity was tested at various reaction time (0.5–4 h) under constant other reaction conditions: oleic acid to methanol molar ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]16, reaction temperature 160 °C and catalyst loading of 10 wt%. As shown in Fig. 5c, an oleic acid conversion of 16.9% was reached after a short reaction time (0.5 h). This can be attributed to slow mass transfer, which caused poor mixing and dispersion of the solid reactant.39 However, the increase in the reaction time enhanced the oleic acid conversion, the conversion of methyl oleate increased from 33.0% at 1 h and peaked to 72.3% at 3 h. With a further prolongation of reaction time beyond 3 h, the oleic acid conversion was slightly increased to 75.4% due to the reverse esterification process.40 Therefore, the reaction time of 3 h was chosen as the optimum condition and used for further investigation in the present research.
3.2.4. Effect of reaction temperature. Reaction temperature is another important parameter that influences the esterification rate because the intrinsic rate constants are strong functions of temperature.41 The esterification conversion process was carried out at 120, 130, 140, 150, 160 and 170 °C with 10 wt% catalyst and an oleic acid to methanol molar ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]16 for 3 h. Fig. 5d showed that the esterification conversion process was positively affected by the increasing temperature, the oleic acid conversion increased from 17.5% to 72.3% as the reaction temperature changed from 120 °C to 160 °C. With further increase in the reaction temperature a non-significantly increased in conversion was observed. Considering energy consumption, 160 °C as chosen as the optimal reaction temperature.

3.3. PMA/Fe-BTC catalyst reusability

Catalyst recyclability is an essential step for commercial feasibility since it reduces the biodiesel production budget.42 To examine recyclability of PMA/Fe-BTC catalyst, six consecutive runs of esterification of oleic acid with methanol were conducted using recovered PMA/Fe-BTC without any treatment (see Fig. 6). It is surprising that the catalyst showed high operational stability even after six recycling experiments retaining 59.2% of its original esterification activity. Partial loss in activity was probably due to leaching of PMA is directly related to their activities and the blockage of the energetic centers as a result of the accumulation of intermediates, oleic acid and products in the pore of the catalyst. Therefore, these results clearly demonstrate excellent recyclability of PMA/Fe-BTC.
image file: c8ra10574j-f6.tif
Fig. 6 Effect of catalyst reusability on the esterification reaction.

3.4. Oleic acid esterification reaction kinetics over PMA/Fe-BTC

Such phenomena can also be confirmed with a kinetic analysis. Therefore, in this study, a detail study on kinetic behaviour for esterification of oleic acid with methanol was carried out over PMA/Fe-BTC at the optimum conditions of 10 wt% catalyst loading, oleic acid to methanol molar ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]16 for 3 h, and the reaction and apparent activation energies was also calculated. Firstly, the PMA/Fe-BTC catalyst at 140 °C, 150 °C, 160 °C were used in esterification and the results are shown in Fig. 7a. It was noted that the different temperature significantly affected the conversion of oleic acid.
image file: c8ra10574j-f7.tif
Fig. 7 Esterification reaction kinetics at different temperatures: (a) conversion with time at different temperatures; (b) linear relationship between −ln(1 − X) and time at different reaction temperatures; (c) Arrhenius plot of ln[thin space (1/6-em)]k versus 1/T.

Here, we simplified the mathematical model for this reaction as follows:

 
aOleic acid (A) + bmethanol (B) ⇌ cmethyl oleate (C) + dwater (D) (2)

The reaction rate (r) according to the following equation is:

 
image file: c8ra10574j-t2.tif(3)
where CA, CB, CC, and CD were the concentrations of oleic acid, methanol, methyl oleate, and water, respectively. a, b, c, and d refer to their reaction order. k′ and k′′ are the kinetic constants for the forward and backward reactions, respectively. However, the concentration of methanol was not considered, since it was used in excess and its concentration can be considered unchanged throughout the process. Thus, k′CBb can be constant. In addition, k′ is much larger than k′′. As the reaction rate depends only on the oleic acid concentration, the reaction was considered to be of first order.43,44 Therefore, the law of the first order velocity is written by the equation:
 
image file: c8ra10574j-t3.tif(4)
where k is modified rate constant and k = k′CBb.
 
CA = CA0(1 − X) (5)
where X and CA0 are conversion of used oleic acid and the initial concentration of oleic acid, respectively. Thus, the above equation can be rearranged and integrated providing eqn (6):
 
−ln(1 − X) = kt (6)

According to eqn (6), plots of −ln (1 − X) vs. time were made for different temperatures and is shown in Fig. 7b. In addition, the activation energy of the esterification of oleic acid in methyl oleate can be determined by the Arrhenius equation:

 
ln[thin space (1/6-em)]k = −Ea/RT + ln[thin space (1/6-em)]A (7)

From the Arrhenius plot (see Fig. 7c), the activation energy value for the reaction in the presence of the PMA/Fe-BTC catalyst was 49.5 kJ mol−1, and the activation energy lower than the previously reported values (e.g. 52.3 kJ mol−1, 78 kJ mol−1, etc.).45,46 Moreover, according to previous reported,47,48 the esterification reaction is not diffusively controlled but kinetically controlled if the apparent activation energy is high enough (e.g., >20.0 kJ mol−1), and that the high apparent activation energy of esterification catalyzed by the PMA/Fe-BTC catalyst further demonstrates that diffusion is not important during our esterification processes. This finding suggests that the esterification reaction is chemically controlled and not by diffusion or mass transfer limitations.

3.5. Catalytic performance of PMA/Fe-BTC for other esterifications

To examine the scope of PMA/Fe-BTC catalyst in biodiesel production, further studies esterifications of other FFAs with methanol were studied. For all the fatty acids examined, the high conversions were achieved within 3 h, e.g. 84.3% of lauric acid, 82.1% of myristic acid, 66.7% of palmitic acid and 76.0% of stearic acid. Based on the results, the PMA/Fe-BTC catalyst can effectively convert FFAs of various chain lengths of their methyl esters, which is the key pre-treatment step to remove FFA from low-cost non-edible oils and meet the demand of synthetic biodiesel.

3.6. Catalytic activities of different catalysts

Catalytic performance in esterification from FFAs over various catalysts is shown in Table 1. As shown in Table 1, the PMA/Fe-BTC exhibits relatively high catalytic activity with 72.3% conversion under mild reaction conditions, whereas the other catalyst is subjected to more or less drawbacks of relatively low conversion (40%), require high temperature (200 °C) and relatively long reaction time (5 h). Above analysis indicated that the PMA/Fe-BTC catalyst could be the promising catalysts for esterification reaction.
Table 1 Comparison of performance of several catalysts with the present work for esterification
Catalysts Reaction conditions Activity Ref.
Temperature (°C) FFAs[thin space (1/6-em)]:[thin space (1/6-em)]MeOH molar ratio Amount of catalyst Time (h)
WO3/USY 200 1[thin space (1/6-em)]:[thin space (1/6-em)]6 10 wt% 2 74% 49
HPW@MIL-100 111 1[thin space (1/6-em)]:[thin space (1/6-em)]11 15 wt% 5 40% 50
SO42−/ZrO2 150 1[thin space (1/6-em)]:[thin space (1/6-em)]1 5 wt% 1 C ≥70% 51
Nb2O5 200 1[thin space (1/6-em)]:[thin space (1/6-em)]10 5 wt% 1/3 68% 52
Sulphated Zr-KIT-6 120 1[thin space (1/6-em)]:[thin space (1/6-em)]20 1 wt% 3 75% 53
PMA/Fe-BTC 160 1[thin space (1/6-em)]:[thin space (1/6-em)]16 10 wt% 3 72.3% This work


4. Conclusions

In the present study, we have successfully fabricated PMA/Fe-BTC composite as an efficient and stable catalyst by one-pot method that suitable for biodiesel production. The PMA/Fe-BTC gave high catalytic activity in the esterification, and could be attributed to filled active species (PMA), large surface area, thermal stability and the good protection measures of dual function porous material supports. Under the condition of catalyst loading 10 wt%, reaction temperature 160 °C and oleic acid to methanol molar ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]16, the conversion rate reached 72.3% only in 3 h. The kinetic studies reveal that the esterification can present a pseudo first-order kinetic process and the apparent activation energy is 49.5 kJ mol−1. Moreover, PMA/Fe-BTC showed an excellent stability in use. Hopefully, this green, simple and efficient method for the production of PMA/Fe-BTC catalytic composite used in esterification process would have significantly potential application for industrial biodiesel production.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was financially supported by the Technical Talent Support Program of Guizhou Education Department (No. KY [2018]069 and KY [2017]093), the Joint Science and Technology Funds of Guizhou S&T Department, Anshun City People's Government and Anshun University (No. LH [2016]7278), the Creative Research Groups Support Program of Guizhou Education Department (No. KY [2017]049), Construction Projects of Innovation Platform from Science and Technology Bureau in Anshun (No. [2016]-4), Guizhou Science & Technology Foundation (No. [2019]1009), the Youth Growth S&T Personnel Foundation of Guizhou Education Department (KY [2018] 292), the Start-up Funding Research Projects of Guiyang University Introduced Talents (No. GYU-ZRD [2018]-015).

Notes and references

  1. N. Mansir, S. H. Teo, U. Rashid, M. I. Saiman, Y. P. Tan, G. A. Alsultan and Y. H. Taufiq-Yap, A review, Renewable Sustainable Energy Rev., 2018, 82, 3645–3655 CrossRef CAS.
  2. S. K. Yellapu, K. R. Bharti, L. R. Kumar, B. Tiwari, X. L. Zhang and R. D. Tyagi, Bioresour. Technol., 2018, 256, 515–528 CrossRef CAS PubMed.
  3. M. Anwar, M. G. Rasul and N. Ashwath, Energy Convers. Manage., 2018, 156, 103–112 CrossRef CAS.
  4. M. Adnan, K. Li, L. Xu and Y. J. Yan, Catalysts, 2018, 8, 96–110 CrossRef.
  5. L. Šánek, J. Pecha, K. Kolomazník and M. Bařinová, Waste Management, 2016, 48, 630–637 CrossRef PubMed.
  6. X. Meng, J. Yang, X. Xu, L. Zhang, Q. Nie and M. Xian, Renewable Energy, 2009, 34, 1–5 CrossRef CAS.
  7. Q. Y. Zhang, F. F. Wei, P. H. Ma, Y. T. Zhang, F. H. Wei and H. L. Chen, Waste Biomass Valorization, 2018, 9, 911–918 CrossRef CAS.
  8. L. Li, P. W. Dyer and G. H. Christopher, ACS Omega, 2018, 3, 6804–6811 CrossRef CAS PubMed.
  9. Y. Pan, M. A. Alam, Z. M. Wang, J. C. Wu, Y. Zhang and Z. H. Yuan, Bioresour. Technol., 2016, 220, 543–548 CrossRef CAS PubMed.
  10. H. Zhang, H. Li, H. Pan, A. P. Wang, S. Souzanchi, C. B. Xu and S. Yang, Appl. Energy, 2018, 223, 416–429 CrossRef CAS.
  11. K. Y. Nandiwale and V. V. Bokade, Ind. Eng. Chem. Res., 2014, 53, 18690–18698 CrossRef CAS.
  12. Q. Y. Zhang, H. Li, X. F. Liu, W. T. Qin, Y. P. Zhang, W. Xue and S. Yang, Energy Technol., 2013, 1, 735–742 CrossRef CAS.
  13. Q. Y. Zhang, F. F. Wei, Y. T. Zhang, F. H. Wei, P. H. Ma, W. Zheng, Y. T. Zhao and H. L. Chen, J. Oleo Sci., 2017, 66, 491–497 CrossRef CAS PubMed.
  14. M. L. Tao, H. Y. Guan, X. H. Wang, Y. C. Liu and R. F. Louh, Fuel Process. Technol., 2015, 138, 355–360 CrossRef CAS.
  15. B. Banerjee, S. Bhunia and A. Bhaumik, Appl. Catal., A, 2015, 502, 380–387 CrossRef CAS.
  16. Q. Y. Zhang, F. F. Wei, Q. Li, J. S. Huang, Y. M. Feng and Y. T. Zhang, RSC Adv., 2017, 7, 51090–51095 RSC.
  17. Q. Y. Zhang, H. Li and S. Yang, J. Oleo Sci., 2018, 67, 579–588 CrossRef CAS PubMed.
  18. A. Pacuła, K. Pamin, J. Kryściak-Czerwenka, Z. Olejniczak, B. Gil, E. Bielánska, R. Dula, E. M. Serwicka and A. Drelinkiewicz, Appl. Catal., A, 2015, 498, 192–204 CrossRef.
  19. T. M. M. Marso, C. S. Kalpage and M. Y. Udugala-Ganehenege, Fuel, 2017, 199, 47–64 CrossRef CAS.
  20. K. L. Yang, S. Huang, H. Pan, H. Zhang, X. F. Liu and S. Yang, RSC Adv., 2017, 7, 33335–33343 RSC.
  21. L. J. Liu, Q. J. Luan, J. Lu, D. M. Lv, W. Z. Duan, X. Wang and S. W. Gong, RSC Adv., 2018, 8, 26180–26187 RSC.
  22. Z. Zhao and X. Wang, Appl. Catal., A, 2016, 526, 139–146 CrossRef CAS.
  23. A. A. Elmekawy, N. R. Shiju, G. Rothenberg and D. R. Brown, Ind. Eng. Chem. Res., 2014, 53, 18722–18728 CrossRef CAS.
  24. B. Vijayakumar and G. R. Rao, J. Porous Mater., 2012, 19, 233–242 CrossRef CAS.
  25. S. P. Fu, J. F. Chu, X. Chen, W. F. Li and Y. F. Song, Ind. Eng. Chem. Res., 2015, 54, 11534–11542 CrossRef CAS.
  26. S. Singh and A. Patel, Fuel, 2015, 159, 720–727 CrossRef CAS.
  27. L. M. Huang, H. T. Wang, J. X. Chen, Z. B. Wang, J. Y. Sun, D. Y. Zhao and Y. S. Yan, Microporous Mesoporous Mater., 2003, 58, 105–114 CrossRef CAS.
  28. H. Q. Zheng, Y. N. Zhang, L. F. Liu, W. Wan, F. Guo, A. M. Nyström and X. D. Zou, J. Am. Chem. Soc., 2015, 138, 962–968 CrossRef PubMed.
  29. H. L. Li, M. Eddaoudi, M. O'Keeffe and O. M. Yaghi, Nature, 1999, 402, 276–279 CrossRef CAS.
  30. K. Shen, L. Zhang, X. Chen, L. Liu, D. Zhang, Y. Han, J. Chen, J. Long, R. Luque, Y. Li and B. Chen, Science, 2018, 359, 206–210 CrossRef CAS PubMed.
  31. C. S. Diercks, Y. Liu, K. E. Cordova and O. M. Yaghi, Nat. Mater., 2018, 17, 301–307 CrossRef CAS PubMed.
  32. K. Fujie, T. Yamada, R. Ikeda and H. Kitagawa, Angew. Chem., Int. Ed., 2015, 126, 11484–11487 CrossRef.
  33. J. Tharun, K. M. Bhin, R. K. Roshan, D. W. Kim, A. C. Kathalikkattil, R. Babu, H. Y. Ahn, Y. S. Won and D. W. Park, Green Chem., 2016, 18, 2479–2487 RSC.
  34. L. H. Wee, S. R. Bajpe, N. Janssens, I. Hermans, K. Houthoofd, C. E. A. Kirschhock and J. A. Martens, Chem. Commun., 2009, 46, 8186–8188 RSC.
  35. X. P. Yang, X. X. Guo, C. H. Zhang, Y. Yang and Y. W. Li, Chin. J. Mater. Res., 2017, 31, 569–575 Search PubMed.
  36. Y. J. Yang, Y. Bai, F. Q. Zhao, E. G. Yao, J. H. Yi, C. L. Xuan and S. P. Chen, RSC Adv., 2016, 6, 67308–67314 RSC.
  37. N. Al-Zaqri, A. Alsalme, S. F. Adil, A. Alsaleh, S. G. Alshammari, S. I. Alresayes, R. Alotaibi, M. Al-Kinany and M. R. H. Siddiqui, J. Saudi Chem. Soc., 2017, 21, 965–973 CrossRef CAS.
  38. S. Dharne and V. V. Bokade, J. Nat. Gas Chem., 2011, 20, 18–24 CrossRef CAS.
  39. S. H. Teo, U. Rashid and Y. H. Taufiq-Yap, RSC Adv., 2014, 4, 48836–48847 RSC.
  40. H. V. Lee, R. Yunus, J. C. Juan and Y. H. Taufiq-Yap, Fuel Process. Technol., 2011, 92, 2420 CrossRef CAS.
  41. H. T. Wu, J. H. Zhang, Y. P. Liu, J. L. Zheng and Q. Wei, Fuel Process. Technol., 2014, 119, 114–120 CrossRef CAS.
  42. Y. H. Taufiq-Yap, H. Lee, M. Hussein and R. Yunus, Biomass Bioenergy, 2011, 35, 827–834 CrossRef CAS.
  43. K. M. Parida and S. J. Mallick, J. Mol. Catal. A: Chem., 2007, 275, 77–83 CrossRef CAS.
  44. N. Kaur and A. Ali, Renewable Energy, 2015, 81, 421–431 CrossRef CAS.
  45. V. Brahmkhatri and A. Patel, Fuel, 2012, 102, 72–77 CrossRef CAS.
  46. M. Banchero and G. Gozzelino, Energies, 2018, 11, 1843 CrossRef.
  47. W. Shi, B. He and J. Li, Bioresour. Technol., 2011, 102, 5389–5393 CrossRef CAS PubMed.
  48. H. L. Zhang, J. R. Gao, Z. D. Zhao, G. Z. Chen, T. Wu and F. He, Catal. Sci. Technol., 2016, 6, 5590–5598 RSC.
  49. A. A. Costa, P. R. S. Braga, J. L. de Macedo, J. A. Dias and S. C. L. Dias, Microporous Mesoporous Mater., 2012, 147, 142–148 CrossRef.
  50. F. J. Liu, W. Li, Q. Sun, L. F. Zhu, X. J. Meng, Y. H. Guo and F. S. Xiao, ChemSusChem, 2011, 4, 1059–1062 CrossRef CAS PubMed.
  51. M. L. Grecea, A. C. Dimian, S. Tanase, V. Subbiah and G. Rothenberg, Catal. Sci. Technol., 2012, 2, 1500–1506 RSC.
  52. M. A. R. Melo Júnior, C. E. Albuquerque, J. S. A. Carneiro, C. Dariva, M. Fortuny, A. F. Santos, S. M. S. Egues and A. L. D. Ramos, Ind. Eng. Chem. Res., 2010, 49, 12135–12139 CrossRef.
  53. S. Gopinath, P. Sahaya Murphin Kumar, K. A. Yasar Arafath, K. V. Thiruvengadaravi, S. Sivanesan and P. Baskaralingam, Fuel, 2017, 203, 488–500 CrossRef CAS.

Footnote

These authors contributed equally to this work.

This journal is © The Royal Society of Chemistry 2019