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Communication

Effect of Exchangeable Cation in Clays on the Yield and Quality of the Bio-Oil during Microwave Pyrolysis of Cellulose

by
Alisa Doroshenko
1,
Ihor Pylypenko
2,
Simona Gromovaite
3,
James Clark
1,* and
Vitaliy Budarin
1,*
1
Green Chemistry Centre of Excellence, The University of York, Heslington, York YO10 5DD, UK
2
The National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Peremohy Ave, 37, 03056 Kyiv, Ukraine
3
College of Science and Engineering, The University of Edinburgh, 10 Max Born Crescent, Edinburgh EH9 3BF, UK
*
Authors to whom correspondence should be addressed.
Sustain. Chem. 2020, 1(3), 315-324; https://doi.org/10.3390/suschem1030021
Submission received: 28 October 2020 / Revised: 23 November 2020 / Accepted: 1 December 2020 / Published: 4 December 2020
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Abstract

:
Bio-oil (pyrolysis oil) is an essential feedstock for the production of renewable fossil-free fuels and valuable chemicals. Enhancement of the pyrolysis oil yield and its quality are significant challenges for an efficient and sustainable biorefinery. Here, we report the microwave (MW)-assisted noncatalytic pyrolysis of cellulose, as a green and controllable alternative to conventional heating, in the presence of eco-friendly Li-, Na-, K-, Mg-, Ca- and Ba-bentonites. The detailed analysis of the MV heating traces demonstrates that the bentonite MW activity significantly depends on the presence of internal water. The intensity of this interaction is controlled by the cation nature reduced in the order: Li+ > Na+ > K+ and Mg2+ > Ca2+ > Ba2+. A unique experimental design for the MW-assisted pyrolysis of cellulose in the presence of Li-doped clays helps to increase the bio-oil yield to 37.8% with high selectivity towards the commercially useful levoglucosan (purity: 39.36%). The combination of an alternative green heating method and environmentally friendly bentonites can be used many times without recycling. We believe that the improved yields of bio-oil are due to: (i) high MW activity of bentonites, which conventionally increases the heating rates of cellulose; and (ii) production of water by hydrophilic clay minerals, favouring depolymerisation of cellulose.

1. Introduction

Bio-oil is a complex mixture of organic chemicals obtained through the pyrolysis of biomass. It represents an attractive source for the production of sustainable fuels and renewable chemicals [1]. Bio-oil catalytical upgrading for the production of valuable chemicals has been widely reported [2,3,4]. One of the ways of direct application of bio-oil as fuels was reported by the Huber group. They suggested the conversion of pyrolysis oils into industrial commodity chemical feedstocks using an integrated catalytic approach that combines hydroprocessing with zeolite-based catalysis [5]. The efficiency and sustainability of these methods depend on their yield and selectivity. A technique on the selective production of a large amount of high-value chemicals can substantially contribute to the development of a sustainable large-scale biorefinery.
There are many methods of enhancement of pyrolysis oil yield. The most well-known approach is adjusting the heating rate [6]. Biomass pretreatment is another critical parameter determining bio-oil yields. A substantial work by Bridgwater highlighted the influence of the feed drying, particle size, reactor configuration, heat transfer and supply, vapour residence time, secondary cracking, char and ash separations and ways for liquids collection [6]. Alternatively, Canadian researchers reported enhanced production of bio-oil together with its quality improvement using fast pyrolysis and fractional condensation concepts [7]. Other reported methods involve various high-energy influence on biomass, such as ball milling [8] or ultrasonic milling [9,10].
On the other hand, an application of alternative types of heating, including microwave (MW)-assisted pyrolysis, is known to improve the yield of bio-oil and its quality [1,11]. During the biomass pyrolysis, produced gases and volatiles do not interact with MW irradiation due to their low density. This phenomenon substantially reduces the number of secondary processes, and therefore, the probability of unexpectable pressure increases. This is one of the essential advantages of MW heating. Furthermore, MW heating has instantaneous control and can be immediately switched-off in case of any technological problem. Moreover, MW-assisted pyrolysis is widely considered to be a green and sustainable method, which is capable of selective activation of the biomass constituents at more than ~100 °C lower than conventional methods [12,13,14]. Some of the most important disadvantages of MW technology are the high cost of equipment and the small depth of penetration of MW irradiation. Additionally, MW heating of biomass sometimes is problematic due to its weak interaction with biopolymers in the temperature range below their softening [13,15]. Such low-efficiency interaction usually results in lower yields of MW pyrolysis oil compared to those of conventional fast pyrolysis and, therefore, reduces the efficiency and sustainability of the production of valuable chemicals [1].
The enhancement of bio-oil yield during MW-assisted pyrolysis is a challenge for a sustainable biorefinery. This process is complicated and depends on both the same variables noted for the conventional approach and a few extra-parameters, such as samples density and mass, MW power, and many others [16].
In our previous publication, we have shown that clay minerals, which are widely used for water treatment [17,18], can be excellent absorbers of MWs, demonstrating high values of maximum heating rate [1]. MW-assisted pyrolysis of cellulose mixed with bentonite resulted in 25 wt.% enhancement of bio-oil. This improvement happened due to both increased MW heating rates and internal water content in the presence of bentonite at high temperatures. The dehydration of clay mineral leads to the production of water which favours cellulose depolymerisation, simultaneously improving pyrolysis oil yield. According to our knowledge, the influence of clay structure on the MW–clay interaction mechanism has not been investigated. One of the ways to change the clay structure is an alternation of the exchangeable cation nature [19]. Therefore, the efficiency of the combined application of MW irradiation and clay in the biomass pyrolysis could be potentially improved using various clays with different exchangeable cations, taking care of the bio-oil quality and quantity.
The aim of the current paper is the optimization of yields of bio-oil during the MW-assisted pyrolysis of cellulose (as model biomass) using bentonite with various exchangeable ions. We decided to investigate the MW behaviour of bentonite with monovalent (Li+, Na+ and K+) and divalent (Mg2+, Ca2+ and Ba2+) exchangeable ions.

2. Results and Discussion

Detailed information about materials and methods is provided in Appendix A.
The original bentonite was characterised using various methods. The X-ray technique showed a basal spacing of 15.20 Å, which is typical for bentonite clay minerals (Figure S1A) [20]. Simultaneous thermal analysis (STA) revealed the presence of 8.4 wt.% of physisorbed water, while a total mass loss was 10.5 wt.% at 500 °C (Figure S1B). Such a high water content is due to the hydrophilic nature of the bentonite surface [21]. The affinity of a clay mineral for water is an essential parameter for a successful cation-exchange procedure in an aqueous solution of the salt.
A comparison between MW and conventional thermal behaviour of the set of Li−, Na−, K−, Mg−, Ca− and Ba-bentonites is given in Figure 1. The MW activity of the bentonite highly depended on the type of exchangeable cation. The MW traces (heating rate vs. temperature) are displayed in Figure 1A,B for the monovalent and divalent exchangeable cations, respectively. The heating rates below ~110 °C (Figure 1A,B, green zones) were possibly associated with the physisorbed water, which is a well-known MW absorber. Some authors have reported the application of MW technology for drying of clay minerals, proving the MW activity of clays at T < 110 °C [22,23].
The heating rates above ~110 °C corresponded to more complicated interactions between the materials and MWs. Among the monovalent cations, K-bentonite exhibited the weakest interaction with MWs, showing low heating rates at T > 110 °C (Figure 1A, blue line). The most substantial interaction of the materials with MWs was detected for Li-bentonite with pronounced signals at 142 °C, 166 °C and 197 °C (Figure 1A, black line). Probably, these signals were associated with the forms of water released from clays at 122 °C, 144 °C and 208 °C, respectively, during conventional heating (Figure 1C, black line). A significant MW activity of Li-bentonite allowed this sample to reach 280 °C in 34 s compared to 87 s for K-bentonite during MW heating (Figure S2). In the case of the divalent cations, the fastest heating rates were found for Mg-bentonite (Figure 1B, black line), while Ca-bentonite (Figure 1B, red line) was more active than Ba-samples (Figure 1B, blue line). The overall MW activity reduced in the order of Li+ > Na+ > K+ and Mg2+ > Ca2+ > Ba2+, in a correlation with the polarisation ability of the ions.
Interestingly, the metal cations that demonstrated the lowest heating rate at T > 110 °C (potassium and barium bentonites) had similar MW behaviour, regardless of their differences in chemical properties (Figure 1B, insertion). This observation implied that this MW-heating profile represented the heating of the core bentonite framework. The TGA (Figure 1C,D) showed that significant MW peaks corresponded to the temperature range of the release of the chemisorbed water.
Based on the obtained data, we believe that the major component which makes the most considerable impact on the MW activity of clays at high temperatures is water binding to the cation or clay framework. If the cation–water interaction is small, then the MW activity (e.g., heating rates) is mainly determined by the nature of the clay mineral. In such a way, similar MW behaviour of K- and Ba-bentonites (Figure 1B, insertion) could be due to the minimised impact of the cation–water interaction and therefore predetermined by the clay nature. This assumption can guarantee almost the identical MW activities of the samples.
Further analysis of the MW-bentonite interactions was carried out via the deconvolution of the MW traces by Gaussians (Figure 2). This procedure was done to achieve a correlation of >0.95 based on a minimal number of Gaussians, which was found to be six. Figure 2A shows deconvolution results for the Li-bentonite (Figure 2A), and the rest of the samples can be found in Figure S3. The first signal (Figure 2A) was associated with physisorbed water, while the rest corresponded to more comprehensive interactions and required more detailed analysis. For simplification, the bentonites were separated into the monovalent and divalent groups, and each Gaussian peak signal (numbered from one to six) was compared among the other samples within the groups. Figure 2B demonstrates an example of such analysis for the 2nd peak in the case of the monovalent cations. As it is seen from Figure 2B, the dependence between the heating rate maximum amd the corresponding temperature forms a straight line. A similar linear dependency was found for the third and fourth Gaussians (Figure 2C), while both fifth and sixth signals were distributed more randomly. Based on the correlation between MW traces and dTG data (Figure 1), we assume that the second, third and fourth peaks corresponded to the three discrete types of water within the bentonite which are well-described in the literature [24]. Furthermore, similar linear relationships between the dTG peak intensity and the energy of the water–clay interaction (dTG peak position) were found during conventional heating and were dependent on the type of exchangeable cation [25]. The more comprehensive fifth and sixth Gaussians could depend on the surface morphology, which is different for the various exchangeable cations.
It can be graphically seen from Figure 2C, where the lines (for second, third and fourth signals) had a common point. For the mathematically correct identification of the coordinates of this point, all five lines on Figure 2C were described using linear equation Ratemax = Interceptpeak + tgαpeak∙T. Then, a graph Interceptpeak = f(tgαpeak) was placed (Figure 2D) and described as Interceptpeak = 0.24 + 107∙tgαpeak.
We assume the common temperature for all cations heating rate points (Figure 2C) could have a simple physical meaning. The temperature of 107 °C stood for the temperature for the removal of the internal water, so at this temperature, there was no bound water left. In contrast, the surface-coordinated water at these conditions firmly bound, could not be moved and did not interact with MW. In this case, 0.24 Ks−1 is the MW-heating rate of the clay framework at 300 W power (our experimental conditions).
The data achieved on the MW activities of Li−, Na−, K−, Mg−, Ca− and Ba-bentonites let us design an experiment to increase the amount of bio-oil during the MW-assisted pyrolysis of cellulose. The experimental setup is shown in Figure 3.
A layer of the relevant bentonite (0.5 g) was packed underneath 1 g of cellulose in a Teflon vessel with a 10 mL volume (Figure 3). Such a “layered” technique was previously reported to increase the yield of the bio-oil to ~15% due to additional production of water from bentonite during heating [1]. The vessel of 10 mL was placed inside a 35 mL glass vessel, which was full of the relevant bentonite for the intensification of the heating effect through conventional heating. Such an experimental scheme made it possible to exploit the bentonite in the 35 mL vessel many times until it was damaged by MWs [26], while the cellulose could be mechanically separated from the bentonite layer in the 10 mL vessel.
Table 1 shows the yields of bio-oil during the noncatalytic pyrolysis of cellulose depending on the type of exchangeable cation within the bentonite. As it is seen from Table 1, the application of bentonite as an additional heater and a source for water production during the MW pyrolysis of cellulose allowed us to increase the yield of bio-oil. The amount of bio-oil for pure cellulose was 11.7 wt.%, which was extended to 18.8 wt.% in the presence of Li-bentonite. Interestingly, the bio-oil yield increased in the order of Li+ > Na+ > K+ and Mg2+ > Ca2+ > Ba2+, repeating the previously observed dependencies for the MW activities of bentonites. This observation proved the effect of conventional heating rate of the MW-active clay, promoting faster pyrolysis rates and consequently increasing bio-oil yields. The heat flow and the pyrolysis time were good enough to pass the heat, even through the walls of the Teflon vessel, which has a low coefficient of temperature conductivity.
The composition of the collected bio-oils was examined using the GC–FID (gas chromatography coupled with flame ionization detector) method. Figure 4 shows the GC–FID spectra of the bio-oils collected for the pure cellulose experiment (Figure 4, top) and the cellulose with Li-bentonite (Figure 4, bottom). The presence of Li-bentonite improved the quality of the bio-oil, enhancing the yield of levoglucosan, which is a primary intermediate during cellulose pyrolysis [27]. Its yield was increased from 3.9 wt.% to 7.4 wt.% without any catalytic effect of the clay mineral, providing 33.33% and 39.36% of selectivity from the bio-oils, respectively (Table 1). We believe there is no catalytic effect of the clay mineral or Li+ ions due to its placed underneath the cellulose. This approach is substantially different from the methodology applied previously, which involved a direct mixing of cellulose with the catalyst and therefore could cause the reduction of levoglucosan [28]. The improvement of the levoglucosan yields could result in the increased amount of the bio-oil (Table 1) as well as a partial capturing of levoglucosan by the vapour produced by the bentonite underneath cellulose. Such a capturing process could prevent levoglucosan decomposition to smaller chemicals (including levoglucosenone), which proceeds as a secondary reaction in a vapour phase [29]. This assumption is well supported by the reduction of levoglucosenone yield in the presence of Li-doped bentonite (Figure 4). The experiment has been done for all clays. However, Li-doped bentonite demonstrated the most evident difference in bio-oil composition. We believe that this performance of Li-bentonite could be a result of its highest efficiency of interaction with MW radiation causing its highest heating rate (see Figure 2) and production of the highest amount of bio-oil (see Table 1).

3. Conclusions

In conclusion, we have found that bentonite activity in the MW-assisted depolymerization of cellulose depended on the presence of internal water. The intensity of this interaction was controlled by the cation nature the nature of the exchangeable cation. It reduced in the order of Li+ > Na+ > K+ and Mg2+ > Ca2+ > Ba2+. These experimental dependencies correlated with the polarisation ability of the ions. The MW traces (heating rate vs. temperature) were deconvoluted by six Gaussians. Their analysis revealed a linear dependence between the maximum of the Gaussian and its temperature for both monovalent and divalent exchangeable cations. Notably, these lines had a common intercept point around 0.24 K s−1 and 107 °C, which could represent a fundamental property of clays and predict MW activity of clays, possessing a theoretical exchangeable cation with a low polarisation ability. A unique experiment was designed to employ a relatively high MW activity of the bentonites to increase the amount of bio-oil (organic fraction) during noncatalytic MW cellulose pyrolysis. The bio-oil yield increased in the order of Li+ > Na+ > K+ and Mg2+ > Ca2+ > Ba2+, repeating the observed dependencies for the MW activities of bentonites. We believe that the improved yields of bio-oil are due to: (i) high MW activity of bentonites, which conventionally increased the heating rates of cellulose; and (ii) production of water by hydrophilic clay minerals, favouring depolymerisation of cellulose. The most MW-active sample among the others, Li-bentonite, gave a 37.8% increase in the organic fraction. Furthermore, this bio-oil possessed an improved quality compared to the bio-oil of pure cellulose due to higher yield and selectivity towards levoglucosan (the primary intermediate), which is also a valuable chemical platform. The suggested experimental scheme on the improvement of bio-oil yield exploits green and available bentonites, which can be used multiple times.

Supplementary Materials

The following are available online at https://www.mdpi.com/2673-4079/1/3/21/s1, Figure S1: (A) XRD analysis of the original bentonite; (B) thermal analysis of the original bentonite, Figure S2: Integrated forms of MW traces, showing that Li-bentonite reached 280 °C in 34 s while K-bentonite reached 280 °C in 87 s, Figure S3: Gaussian deconvolution of the MW traces: (A) Li-bentonite; (B) Na-bentonite; (C) K-bentonite; (D) Mg-bentonite; (E) Ca-bentonite; (F) Ba-bentonite. Notably, as it is seen the 2nd peaks of divalent cations-samples were exceptional and excluded from the analysis (main paper body, Figure 2C,D) due to its strong overlapping with physisorbed water.

Author Contributions

A.D. has conducted all the experiments. The data processing was done by A.D. and V.B. The discussion of the results was carried out by A.D., I.P., S.G., J.C. and V.B. All authors were involved in the preparation of this scientific manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors acknowledge the financial support of the University of York based on Overseas Research Scholarship. In addition, the authors appreciate the assistance of Artem Kostiyuk on mathematical data processing.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Microcrystalline cellulose was supplied by Sigma-Aldrich (UK). Na-bentonite and the saltls (LiCl, NaCl, KCl, MgCl2, CaCl2 and BaCl2) were supplied by Fischer Scientific (UK).
Small-angle XRD analysis was performed using a Bruker D8 Discover equipped with a temperature-controlled, bored graphite rod furnace, custom-built at the University of York. Samples were filled into 1 mm o/d glass capillaries. The radiation source was a microfocus source using CuKα radiation at λ = 1.5406 Å, which was trimmed using a 1 mm circular slot and a 0.5 mm collimator. Diffraction patterns were collected as a function of temperature using a Bruker Vantec 500 detector positioned on the goniometer to allow data to be collected between 3.9 and 110 Å. The instrument was calibrated using Silver Behenate. The data were processed using Bruker DIFFRAC. SUITE EVA software. Samples were acquired for 900 s per scan and equilibrated for 20 s at each temperature interval.
The thermal analysis was performed in N2 flow conditions (60 mL min−1) using Stanton Redcroft STA625 Thermal Analysis at the temperature range between ambient and 500 °C and a heating rate of 10 °C min−1. The mass of the samples for the analysis was 10 ± 0.2 mg accuracy.
The first step during the cation-exchange procedure was to prepare 4 wt.% suspension of bentonite in water during intensive stirring for 24 h. This original bentonite contained sodium as a counterion. The exchanging process involved dropwise addition of the relevant salt solution (including NaCl for comparison) at a 0.5 M concentration to the swollen bentonite with intense stirring. The ratio between the bentonite suspension and the salt was 1:1. Finally, the samples were centrifuged at 3500 rpm for 10 min, and the aqueous solution was removed with decantation. It was proved, based on the ICP (inductively coupled plasma) analysis of washing water, that the exchange procedure for the substitution of Na+ cation toward specific cations had to be repeated at least eight times. After the last exchange step, the samples were washed from the excess of anions. The addition of distilled water during magnetic stirring was followed by the centrifugation and subsequent decantation of the aqueous phase. This procedure was repeated until a negative reaction for Cl– anions, which was checked by adding Ag+ to the solution. After the cation-exchange procedure, the samples were dried at 105 °C. All the samples (Li-, Na, K-, Mg-, Ca- and Ba-bentonites) were stored in the bottles sealed with a parafilm to minimise their interaction with the air.
The MW experiments were carried out in a CEM Discover Microwave reactor. Research on the bentonites (1 g) behaviour in an MW was done in 10 mL closed vessels. The study on cellulose pyrolysis was done in an open vessel with a condenser at the top, using 1 g of cellulose. An infrared temperature detector at the bottom of the vessel allowed monitoring MW pyrolysis temperature in time. The reactor worked in a fixed power mode (300 W) to reach the target temperature of 280 °C, which was substantially higher than the temperature of MW-assisted pyrolysis of microcrystalline cellulose, which happened at 180 °C.
The Gaussian deconvolution was done using Origin 2018 software by the means of “Multiple Peak Fit”. The Gaussian deconvolution was tested, starting from more than three peaks to describe the MW traces with a minimal number of Gaussians to get a >0.95 correlation fit with the experimental signal. Such a fit was achieved in the case of six Gaussians.
The collected bio-oil was washed from both the condenser and the MW vessel with 30 mL of acetone. An aliquot of 20 mL was taken for the evapouration at 105 °C for 6 h in a ceramic dish (weighted in advance). Then, the ceramic dish was weighted together with the left organic residue. The difference between the masses of the ceramic dish with and without organic residue was accepted as the yield of organic fraction of bio-oil (tar).
Qualitative and quantitative analysis of the bio-oil was done by the GC–FID method, using an Agilent Technologies 6890 A with Rxi-5HT column. The gas chromatography program ramped the temperature from 50 °C to 300 °C at 30 °C/min followed by a hold at 300 °C for 5 min. A split ratio was established at 5:1. The quantification procedure was based on the calibration curve of the relevant references.

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Figure 1. Comparison between the microwaves (MW) and the conventional heating rates of the bentonites: (A) MW traces of the bentonites with monovalent cations; (B) MW traces of the bentonites with divalent cations; (C) conventional dTG (derivative of thermogavimetric data, e.g., mass-loss over time) of the bentonites with monovalent cations; (D) conventional dTG of the bentonites with divalent cations.
Figure 1. Comparison between the microwaves (MW) and the conventional heating rates of the bentonites: (A) MW traces of the bentonites with monovalent cations; (B) MW traces of the bentonites with divalent cations; (C) conventional dTG (derivative of thermogavimetric data, e.g., mass-loss over time) of the bentonites with monovalent cations; (D) conventional dTG of the bentonites with divalent cations.
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Figure 2. Analysis of MW traces: (A) example of MW-trace deconvolution by Gaussians; (B) example of the analysis of the Gaussians; (C) linear dependencies between the maximum MW heating rates of the Gaussians and their temperatures; (D) a graph, representing Interceptpeak = f(tgαpeak).
Figure 2. Analysis of MW traces: (A) example of MW-trace deconvolution by Gaussians; (B) example of the analysis of the Gaussians; (C) linear dependencies between the maximum MW heating rates of the Gaussians and their temperatures; (D) a graph, representing Interceptpeak = f(tgαpeak).
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Figure 3. Experimental setup to enhance the yield of bio-oil during the MW-assisted pyrolysis of cellulose.
Figure 3. Experimental setup to enhance the yield of bio-oil during the MW-assisted pyrolysis of cellulose.
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Figure 4. GC–FID spectra of the bio-oil resulted from pure cellulose MW pyrolysis (top) and cellulose MW pyrolysis in the presence of Li-bentonite (bottom).
Figure 4. GC–FID spectra of the bio-oil resulted from pure cellulose MW pyrolysis (top) and cellulose MW pyrolysis in the presence of Li-bentonite (bottom).
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Table
Table 1. Yields of the bio-oil during the MW pyrolysis of cellulose (at 280 °C) depending on the type of the exchangeable cation in bentonite.
Table 1. Yields of the bio-oil during the MW pyrolysis of cellulose (at 280 °C) depending on the type of the exchangeable cation in bentonite.
MaterialBio-Oil (wt.%)
Li-bentonite18.8
Na-bentonite15.4
K-bentonite12.9
Mg-bentonite14.8
Ca-bentonite14.3
Ba-bentonite12.5
Pure cellulose A11.7
A The MW-assisted pyrolysis of pure cellulose was conducted only in a 35 mL open-vessel.
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Doroshenko, A.; Pylypenko, I.; Gromovaite, S.; Clark, J.; Budarin, V. Effect of Exchangeable Cation in Clays on the Yield and Quality of the Bio-Oil during Microwave Pyrolysis of Cellulose. Sustain. Chem. 2020, 1, 315-324. https://doi.org/10.3390/suschem1030021

AMA Style

Doroshenko A, Pylypenko I, Gromovaite S, Clark J, Budarin V. Effect of Exchangeable Cation in Clays on the Yield and Quality of the Bio-Oil during Microwave Pyrolysis of Cellulose. Sustainable Chemistry. 2020; 1(3):315-324. https://doi.org/10.3390/suschem1030021

Chicago/Turabian Style

Doroshenko, Alisa, Ihor Pylypenko, Simona Gromovaite, James Clark, and Vitaliy Budarin. 2020. "Effect of Exchangeable Cation in Clays on the Yield and Quality of the Bio-Oil during Microwave Pyrolysis of Cellulose" Sustainable Chemistry 1, no. 3: 315-324. https://doi.org/10.3390/suschem1030021

APA Style

Doroshenko, A., Pylypenko, I., Gromovaite, S., Clark, J., & Budarin, V. (2020). Effect of Exchangeable Cation in Clays on the Yield and Quality of the Bio-Oil during Microwave Pyrolysis of Cellulose. Sustainable Chemistry, 1(3), 315-324. https://doi.org/10.3390/suschem1030021

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