Acessibilidade / Reportar erro

Kinetic and thermodynamic parameters of biodiesel oxidation with synthetic antioxidants: simplex centroid mixture design

Abstracts

Temperature's influence on biodiesel oxidation was evaluated by kinetic and thermodynamic data in biofuel from soybean oil and lard with synthetic antioxidants: butylatedhydroxyanisol (BHA), butylatedhydroxytoluene (BHT), tert-butylhydroquinone (TBHQ), and propylgallate (PG) by simplex centroid mixture design. The kinetic parameters ware obtained by Arrhenius equation and showed that addition of antioxidants in all tests increased activation energy (Ea) and that TBHQ and PG were more efficient and presented synergistic effect. BHT and BHA were the least efficient, as well as their mixtures. The thermodynamic activation parameters of the reactions, evaluated by the Eyring equation and based on the theory of the activated complex (ACT), indicated no spontaneous processes (∆G‡ > 0) with positive ∆H‡ values and positive and negative ∆S‡ values. The application of simplex centroid mixture design, using Ea as response, showed the optimised value of 174.46 kJ mol-1 for a mixture containing 33.33 and 66.67% of TBHQ and PG, respectively.

activated complex; synthetic antioxidants; oxidation stability; mixture design


A influência da temperatura sobre a oxidação de biodiesel foi avaliada pelos parâmetros cinéticos e termodinâmicos do biocombustível de óleo de soja e gordura suína com antioxidantes sintéticos: 3-terc-butil-4-hidroxianisol (BHA), 3,5-di-terc-butil-hidroxitolueno (BHT), 2-terc-butil-hidroquinona (TBHQ) e galato de propila (PG), de acordo com delineamento de mistura simplex-centróide. Os parâmetros cinéticos foram determinados considerando-se reação de primeira ordem e aplicando a equação de Arrhenius. A adição de antioxidantes promoveu o aumento da energia de ativação (Ea), sendo TBHQ e PG os mais eficientes, apresentando efeito sinérgico. BHT e BHA foram os menos eficientes, assim como suas misturas. Os parâmetros termodinâmicos de ativação, avaliados pela equação de Eyring, não indicaram processos espontâneos (∆G‡ > 0) com valores de ∆H‡ positivos, e ∆S‡ positivos e negativos. O delineamento simplex-centróide indicou valor otimizado de 174,46 kJ mol-1 para a mistura contendo 33,33 e 66,67% de TBHQ e PG, respectivamente.


ARTICLE

Kinetic and thermodynamic parameters of biodiesel oxidation with synthetic antioxidants: simplex centroid mixture design

Dionisio Borsato* * e-mail: dborsato@uel.br ; Diego Galvan; Jaqueline L. Pereira; Juliane R. Orives; Karina G. Angilelli; Rodolfo L. Coppo

Fuels Analyses and Research Laboratory, Chemistry Department, State University of Londrina, P.O. BOX 10.011, 86057-970 Londrina-PR, Brazil

ABSTRACT

Temperature's influence on biodiesel oxidation was evaluated by kinetic and thermodynamic data in biofuel from soybean oil and lard with synthetic antioxidants: butylatedhydroxyanisol (BHA), butylatedhydroxytoluene (BHT), tert-butylhydroquinone (TBHQ), and propylgallate (PG) by simplex centroid mixture design. The kinetic parameters ware obtained by Arrhenius equation and showed that addition of antioxidants in all tests increased activation energy (Ea) and that TBHQ and PG were more efficient and presented synergistic effect. BHT and BHA were the least efficient, as well as their mixtures. The thermodynamic activation parameters of the reactions, evaluated by the Eyring equation and based on the theory of the activated complex (ACT), indicated no spontaneous processes (∆G‡ > 0) with positive ∆H‡ values and positive and negative ∆S‡ values. The application of simplex centroid mixture design, using Ea as response, showed the optimised value of 174.46 kJ mol-1 for a mixture containing 33.33 and 66.67% of TBHQ and PG, respectively.

Keywords: activated complex, synthetic antioxidants, oxidation stability, mixture design

RESUMO

A influência da temperatura sobre a oxidação de biodiesel foi avaliada pelos parâmetros cinéticos e termodinâmicos do biocombustível de óleo de soja e gordura suína com antioxidantes sintéticos: 3-terc-butil-4-hidroxianisol (BHA), 3,5-di-terc-butil-hidroxitolueno (BHT), 2-terc-butil-hidroquinona (TBHQ) e galato de propila (PG), de acordo com delineamento de mistura simplex-centróide. Os parâmetros cinéticos foram determinados considerando-se reação de primeira ordem e aplicando a equação de Arrhenius. A adição de antioxidantes promoveu o aumento da energia de ativação (Ea), sendo TBHQ e PG os mais eficientes, apresentando efeito sinérgico. BHT e BHA foram os menos eficientes, assim como suas misturas. Os parâmetros termodinâmicos de ativação, avaliados pela equação de Eyring, não indicaram processos espontâneos (∆G‡ > 0) com valores de ∆H‡ positivos, e ∆S‡ positivos e negativos. O delineamento simplex-centróide indicou valor otimizado de 174,46 kJ mol-1 para a mistura contendo 33,33 e 66,67% de TBHQ e PG, respectivamente.

Introduction

The storage stability of a fuel is related to changes in physical and chemical characteristics caused by its interactions with the environment, and these changes can vary according to the nature of the raw material used in the production of biodiesel, specially due the presence/absence of natural antioxidant in the final product.1,2 The autooxidation of fatty acid methyl esters (FAMEs) is associated with the oxygen reaction with allylic hydrogens on their unsaturated chains, resulting in the formation of free radicals and by-products that can cause problems in the engine and injection equipment.3,4 To inhibit or delay the oxidation reaction, antioxidants are used; phenolic compounds, classified as primary antioxidants, promote the removal or inactivation of free radicals by donating active hydrogen atoms.5,6

Determination of the oxidative stability emerged in an attempt to predict the shelf life of oils and fats, however, the monitoring of oxidation products in storage conditions is slow and can consume a large amount of reagents.7 A way of determining the oxidative stability of FAMEs is by accelerated methods, such as Rancimat, which features rapid results, thus, reducing labour time and reagent consumption.8 Monitoring the oxidative stability obtained by Rancimat allows the determination of kinetic and thermodynamic parameters involved in the mechanism of biodiesel oxidation. Data such as energy (Ea), enthalpy (ΔH‡), entropy (ΔS‡) and Gibbs free energy (ΔG‡) of activation allow the assessment of the efficiency of antioxidants added in biofuel and also to estimate the storage time, ensuring product quality in the periods of storage, distribution and use.4

The great diversity of raw materials and production techniques results in variations in the physicochemical properties of biodiesel, making it difficult to choose a specific antioxidant. Therefore, mixing is the most effective and economical way to maintain quality of the biofuel.2,9,10 The development of any product that involves more than one component implies some particular experiments with mixtures. Many studies employing mixture designs follow the models proposed by Scheffe, which allow the exploration of the entire experimental region.9,11,12

Taking into consideration the importance of knowledge about kinetic and thermodynamic parameters and the fact that there are few reports in the literature on this subject, this work aimed to apply mathematical models that describe the oxidation reaction at several temperatures, throughout Rancimat method, with different synthetic antioxidants, alone or in mixtures.

Experimental

Biodiesel

B100 biodiesel was acquired from BioPar - Bioenergia do Paraná Ltda. (Rolândia, Paraná, Brazil), free of antioxidants, obtained by transesterification with a mixture of soybean oil (90%) and lard (10%), in methylic route using sodium methoxide as catalyst.

Some specification tests were carried out to determine the flash point (ASTM D93),13 the acid number (ASTM D664)14 and the specific mass (ASTM D4052)15 of the biodiesel.

Antioxidants

The antioxidants used were butylatedhydroxyanisol (BHA) Synth, 98.50%, butylatedhydroxytoluene (BHT) Synth, 99%, tert-butylhydroquinone (TBHQ) Acros, 97% and propyl gallate (PG) Acros, 98%. All of these analytical grade reagents were added directly to the biodiesel prior to the evaluation of oxidation stability; the proportions were stipulated by mixture design.

The total concentration of antioxidants did not exceed 6.0 × 10-3 mol L-1, that corresponds to approximately 0.1% m/m, except PG, which was used at a concentration of 3.0 × 10-3 mol L-1 (approximately 0.05% m/m). The choice of antioxidants and their concentrations was made according to preliminary tests.11

Experimental design

A simplex centroid mixture design was applied for four components (TBHQ, BHT, BHA and PG), with two repetitions at the central point with combinations of mixtures 2q–1, where q is the number of components equal to the sum 1 or 100%.16 The control sample was also performed in triplicate.

Mathematical model

The function used was equation 1:

where Y is the response function of the experimental data Ea (kJ mol-1), x1, x2, x3 and x4 are independent variables which correspond to the ratios of TBHQ, BHT, BHA and PG in the mixture, respectively, and β represents the estimated parameters.12

Statistical analysis

The optimisation of the conditions, the regression coefficients and analysis of variance (ANOVA) were determined by Statistica Software version 9.0.17

Oxidation stability test and induction period (IP) determination

Tests were carried out using the oxidative stability accelerated method through Rancimat equipment model 873 (Metrohm®, Herisau, Switzerland) according to official EN 14112.18 Assays were performed at temperatures of 110, 115, 120 and 125 ºC.

The induction period (IP) is determined by automated Rancimat software: a graph of conductivity (µS cm-1) vs. time (s) is generated, and the second derivative of the experimental data corresponds to IP, which is the maximum point of acceleration in chain reactions. The increase in conductivity is due to volatiles (products of degradation from biodiesel oxidation) dissolved in distilled water, monitored by a conductimetric sensor along the analysis.

Determination of kinetic and thermodynamic parameters of the biodiesel oxidation reaction

Data of the electrical conductivity (Λ) vs. time (t), obtained by Rancimat, for all assays of the mixture design and each temperature, were adjusted considering first-order reactions, so the rate constants (k) could be determined. The parameter activation energy (Ea) and pre-exponential factor (A) were calculated using the Arrhenius equation, while the enthalpy (∆H‡) and entropy (∆S‡) of activation were obtained by the Eyring equation or activated complex theory (ACT). The Gibbs free energy of activation (∆G‡) was obtained from the fundamental equation of thermodynamics for all temperatures.4

Chromatographic analysis

Methyl esters, methanol, free and total glycerin, mono-, di- and triglyceride content were determined using a gas chromatograph with a flame ionization detector (GC-FID) system (Shimadzu GC 17A) and a DB1 column (100% polydimethylsiloxane with 30 m length × 0.25 mm internal diameter × 0.25 µm film thickness, J&W Scientific) was employed. The temperatures of split injector and detector were maintained at 340 ºC. The oven was maintened initially at 50 ºC for 2 min, and then heated at a rate of 10 ºC min-1 until 180 ºC, maintained at this temperature for 2 min and, finally, heated at a rate of 15 ºC min-1 until it reached 340 ºC, where it was maintained for 10 min. The carrier gas flow, N2, was 1.5 mL min-1 and the injection volume was 2.0 µL. Data were acquired and treated by the software Shimadzu CLASS-CR10.

The ester content was determined according to EN 14103,19 where a sample of 0.1 mL of biodiesel was solved in n-heptane (Sigma Aldrich, HPLC-grade) in a proportion of 1:10, using methyl heptadecanoate (Fluka, analytical grade) as internal standard. The alcohol content was verified according to EN 1411020 using methanol (Fluka, analytical grade) as standard. For analysis of free and total glycerin, mono-, di- and triglyceride content, according to ASTM D6584,21 analytical standards of glycerin (Restek, 500 µg mL-1 in pyridine), monoolein (Supelco, 500 µg mL-1 in pyridine), 1,3-diolein (Restek, 500 µg mL-1 in pyridine), triolein (Restek, 500 µg mL-1 in pyridine) were used.

Results and Discussion

Biodiesel properties and composition

The EN 1421422 standard determines that the acceptable percentage of methyl esters in biodiesel must be equal to or greater than 96.50% m/m. Chromatographic analysis of biodiesel showed that the content of methyl esters was 98.98% m/m, thus complying with current legislation; 84.82% m/m of this amount was composed of unsaturated esters C18:1, C18:2 and C18:3, at a percentage of 26.98, 50.06 and 7.78%, respectively. High content of unsaturated esters in the composition of biodiesel is assigned to the high content of soybean oil (90%), which was used as raw material. The biodiesel produced had density equal to 879 kg m-3, 167.0 ºC of flash point and 0.45 mgKOH g-1 of acid number, all values that meet the product specifications.23

According to Knothe24 biodiesel obtained from vegetable oils are rich in unsaturated fatty acids, making it susceptible to oxidation reaction resulting in low values of induction period (IP).24,25 The average IP value for control was 1.42 h, which is higher than the values of 0.16 h26 and 1.36 h27 of biodiesel obtained from 100% of soybean oil, showing that use of the pig fat may influence the increase of the oxidative stability. However, the addition of antioxidants is still needed in order for biodiesel to meet specifications,23 of which the minimum value of IP is 6 h.9

Oxidation stability at different temperatures

According to Table 1, IP values decreased with increasing temperature and increased with the addition of antioxidants in all treatments, when comparing to the control sample.

It is observed that BHT used alone (treatment 2), presented the lowest values of IP in all assay temperatures, indicating lower efficiency when compared to other antioxidants, alone or in mixtures. However, it showed higher values than those observed in control samples. All treatments containing PG showed greater values of IP in all temperatures, even though it was added at lower concentration than the other antioxidants. Among the others antioxidants, TBHQ (treatment 1) is the most effective, followed by BHA (treatment 3) and BHT (treatment 2). The best response was achieved in the mixture containing TBHQ and PG, indicating synergism between them. The Tukey test applied to averages showed that IP of treatment 7 presented significant difference related to the responses of these isolated antioxidants (treatments 1 and 4), at a level of 5%.

The higher effectiveness of PG may be attributed to its chemical structure, which is more susceptible to donate hydrogen radical (H•) due to greater stabilization of the radical formed by the ring substituents.28,29 TBHQ has two hydroxyl groups, whereas both BHA and BHT have only one hydroxyl and various substituents, including (–OCH3) and (–CH3) bonded on the para-position of the ring. The hydroxyl group of BHA is more likely to release hydrogens compared to the hydroxyl group of BHT, because this one cannot stabilise its radical by resonance. Additionally, BHA has higher thermal stability than BHT, especially at a temperature of 110 ºC.29-31 The structures of the antioxidants are depicted in Figure 1.


Santos et al.31 analysed the thermal profile of synthetic antioxidants at 110 ºC, and observed that the stability decreases in the order: PG > TBHQ > BHA > BHT. Maia et al.11 evaluated the oxidative stability of B100 biodiesel from soybean oil, with Rancimat, obtaining similar results when used with TBHQ, BHA and BHT at 110 ºC. However, this information must be considered with caution, because the cited biodiesel mixture was stored near room temperature.32

Kinetics and thermodynamics of the oxidation reaction of biodiesel

The rate constants (k) were determined by applying the natural logarithm (ln) on values of electrical conductivity (Λ) vs. time (t), where the slope and intercept represent k and ln Λ, respectively. As result, a linear relationship between conductivity and time is shown in equation 2:

where Λ is the conductivity at time t; Λ0 is the initial conductivity, and ti and tf correspond to initial and final time, respectively.

Table 2 presents the average values of k, which showed high coefficients of determination (R2) ranging from 0.9336 to 0.9858. Galvan et al.4 also observed high correlation coefficients for the oxidation of biodiesel obtained from a mixture of vegetable oil and animal fat, considering first-order reaction kinetics.

According to Table 2, the control presented a value of k, at 125 ºC, which is 1.3 times higher than the rate constant at 110 ºC. It is observed that the k values increase with increasing temperature for all treatments as consequence of the increase in the rate of consumption of the antioxidant, showing thereby the dependence of the oxidation process with temperature.33

The high k values can be related to the amount of soybean oil used in the production of biodiesel. However, there is a decrease in the values of the rate constants when antioxidants are present; treatment 2 presented the highest values of k compared with the others, although they were still lower than those observed for the control. According to Tan et al.34 the k value is directly related not only to the presence or absence of antioxidants, but also with the structures of the fatty acids, as having a high content of unsaturation is partly responsible for increasing the constant.

Kinetic data can be expressed by quantitative relationship between assay temperature, rate constant and activation energy through the Arrhenius equation:34

where k is the rate constant (h-1), A the pre-exponential factor (h-1), Ea the activation energy (kJ mol -1), R the ideal gas constant (8.31447 J K-1 mol-1) and T the absolute temperature (K).

According to the Arrhenius equation (equation 3), the graph of ln k vs. the reciprocal of temperature (1/T, K-1) plots a line with slope ( –Ea/R) and intercept (ln A), which allows determination of Ea and A, respectively.

The oxidation reaction of B100 biodiesel occurs through an energised transitory species of intermediate structure between the reactants and products called activated complex or transition state.4 Thus, the thermodynamic parameters (∆H‡ and ∆S‡) were estimated by applying the activated complex theory (ACT), developed by Eyring in 1935. The effect of temperature on reaction rate can be interpreted using ACT as described by equation 4, which is analogous to the Arrhenius equation (equation 3):35,36

where kB is the Boltzmann constant (1.38065 × 10-23 J K-1), h is Planck's constant (6.62608 × 10-34 J s), ∆H‡ is the enthalpy of activation (kJ mol-1), ∆S‡ is the entropy of activation (J mol-1 K-1) and the notation ‡ refers to the state of activated complex.

According to the Eyring equation (equation 4), the regression of ln k/T vs. 1/T (K-1) derived from ACT yields a straight line with slope (–∆H‡/R) and intercept [ln (kB/h) + (S‡/R)], which permits the determination of ∆H‡ and ∆S‡, respectively.

Figure 2 shows the linear regression of the data obtained by equation 3 for each treatment (Table 2); the coefficients of determination varied between 0.8612 and 0.9994. Chen et al.,37 Chen and Luo38 and Xin et al.39 obtained a good linear correlation between ln k vs. 1/T (K-1) studying the kinetics of oxidation of biodiesel obtained from different raw materials, associated with the use of different synthetic antioxidants.


Considering that Ea is given by the slope, the larger the energy of activation value, the greater the dependence of k with temperature, that is, the slope is more accentuated in the graph.40,41Figure 2 depicts that the control presented the smallest slope, indicating that it is more susceptible to oxidation compared to the other treatments containing antioxidants. On the other hand, the treatment with PG presented bigger slopes, particularly when mixed with TBHQ, leading to higher values of Ea and, thus, greater oxidative stability.

The values of Ea are depicted in Table 3, where the control sample showed the lowest value, followed by the three treatments containing only TBHQ, BHA and BHT. Also, it is observed that there is an occurrence of synergism among the antioxidants when used in mixtures (treatments 5, 6, 7, 11, 12 and 13), because the Ea of the mixtures of antioxidants is greater than the sum of their individual effects. Among the mixtures, Ea of treatment 7 (TBHQ and PG) was about 7.5 times higher than that of the control, followed by the other mixtures with PG (treatments 12 and 13). Among the antioxidants mixture in which PG is absent, treatments 5, 6, 8, and 11, the one containing TBHQ and BHA showed the highest Ea, 4.5 times higher than the control, followed by the other mixtures with TBHQ (treatments 5 and 11).

There is considerable evidence that phenolic antioxidants have synergistic activities, so it is very important to consider these effects when choosing their formulation.11 However, the synergistic effect has not been observed in some mixtures containing BHT and BHA (treatments 8, 9, 10, 14 and 15), and even treatment 8, which showed the lowest value among these mixtures, presented an Ea value 3 times higher than the control. Litwinienko et al.42 reported that the high degree of unsaturation in the chemical chain of biodiesel leads to lower Ea for the oxidation reaction. The biodiesel used was produced with high percentage of soybean oil and contains high content of polyunsaturated FAMEs , which are more susceptible to oxidation reactions, evidenced by the low value of Ea observed in the control (23.35 kJ mol-1).4,5

The influence of temperature on the reactions is determined by the activation energy. Higher values of Ea imply that a small change in temperature is required to induce changes in the oxidation rate, whereas reactions with lower values of Ea are relatively independent of temperature.34,40,41 According to Levenspiel,40 reactions with values ranging between 40 and 400 kJ mol-1 are considered low and high activation energy, respectively. Therefore, the oxidation of biodiesel obtained from soybean oil predominantly exhibits poor chemical stability, even in the presence of antioxidants, because the values of the activation energy obtained were not high.32

The biodiesel displayed values of pre-exponential factor (A) varying from 2.55 × 103 h-1, for control, up to 5.49 × 1022 h-1, for the mixture with TBHQ and PG (Table 3). Chen et al.37 and Chen and Luo38 reported values of 2.21 × 1013 and 5.66 × 1010 h-1, respectively. According to Tan et al.34 small changes in the values of Ea result in significant changes in the pre-exponential factor.

Figure 3 depicts the graph generated by equation 4, through ACT, for the oxidation of biodiesel at different temperatures. The lines presented determination coefficients () with values between 0.8497 and 0.9994. Galvan et al.4 obtained a similar linear correlation between ln k/T vs. 1/T (K-1), to evaluate the thermodynamic parameters of the oxidation reaction of an optimised biodiesel from a mixture of vegetable oil and animal fat.


In Table 3, it can be noted that all treatments, including the control, showed positive ∆H‡ values, indicating that the process is endothermic, i.e., an external source of energy is required to raise the energy level of reagents to their transition state. Thus, the higher the value of enthalpy of activation of biodiesel, the greater the oxidative stability.35,36,43H‡ values increased with the addition of antioxidants, when compared with the control: mixtures with presence of PG presented the highest values, followed by their mixtures with TBHQ, demonstrating that these two antioxidants are synergistic with each other and with other antioxidants. This effect was not observed in the presence of treatments with BHT and BHA.

Considering values of entropy (Table 3), both positive and negative signals were obtained for the treatments. Negative ∆S‡ values may arise as a result of association mechanism; degrees of freedom were lost due to the activated complex formation, which means that reacting species joined themselves to form the state transition during the reaction, thereby having a more ordered state than the reactants in the ground state structure. Positive ∆S‡ values indicate an increase of degrees of freedom, i.e., greater system disorder.35,36

The Gibbs free energy of activation (ΔG‡) is used to determine the spontaneity of chemical reactions, and it was determined for all temperatures by the fundamental thermodynamic equation (equation 5):43

Table 3 shows that all samples presented positive values of ∆G‡, indicating that they are endergonic and not spontaneous. It can also be noted that all treatments with antioxidants showed values of ∆G‡ higher than the control, with treatment 7 being the most endergonic, followed by treatments with PG in the mixtures. The reaction rate decreases with increasing ∆G‡, however, as the temperature increases, the reaction rate also increases.35,44

Activation energy (Ea)

As the kinetic parameters were consistent with the thermodynamics, an analysis was carried out with the objective of obtaining a mixture formulation, which yields higher values of Ea (Table 3).

In the canonical equation 6 fitted to the experimental data, the dependent variable Y is the activation energy, Ea (kJ mol-1), in which significant terms at the 5% level are shown with an asterisk. Also, the addition of antioxidants positively influenced the Ea of the studied biodiesel, since most terms had positive coefficients.

The validity of the model for predictive purposes was confirmed by analysis of variance (Table 4), in which the model is significant (p = 2 × 10-6), with experimental and adjusted coefficients of determination equal to 99.90 and 99.60%, respectively, and with insignificant regression deviation (p = 0.17).

The combination region among the independent variables TBHQ, BHA and PG can be seen in Figure 4, which was generated by setting the least significant variable that corresponds to 0% BHT. The boundary region of the response surface demonstrates that an Ea (dependent variable) greater than 160 kJ mol-1 can be achieved using a mixture containing TBHQ and PG.


Figure 5 shows the optimisation of the predictive equation that represents the Ea of biodiesel in the presence of synthetic antioxidants. The maximum value (174.46 kJ mol-1) can be obtained when using a mixture containing 33.33% of TBHQ and 66.67% of PG.


Conclusions

The Rancimat method was demonstrated to be rapid and appropriate to investigate the kinetic and thermodynamic parameters of oxidation of biodiesel in the presence of synthetic antioxidants, alone or in mixtures. The parameters analysed indicated a low oxidation resistance for B100 biodiesel, however, the addition of antioxidants increased stability in all treatments, and those containing mixtures with PG and TBHQ yielded the best results. The simplex centroid mixture design was found to be a suitable tool to assess the best antioxidant to be added in biodiesel in order to increase its oxidation stability.

Acknowledgements

The authors would like to thank the State University of Londrina (UEL) and CAPES for scholarships.

Submitted: May 5, 2014

Published online: August 5, 2014

  • 1. Jain, S.; Sharma, M. P.; Biomass Bioenergy 2011, 35, 4008.
  • 2. Dinkov, R.; Hristov, G.; Stratiev, D.; Aldayri, V. B.; Fuel 2009, 88, 732.
  • 3. Ramalho, V. C.; Jorge, N.; Quim. Nova 2006, 29, 755.
  • 4. Galvan, D.; Orives, J. R.; Coppo, R. L.; Silva, E. T.; Angilelli, K. G.; Borsato, D.; Energy Fuels 2013, 27, 6866.
  • 5. Pullen, J.; Saeed, K.; Renewable Sustainable Energy Rev. 2012, 16, 5924.
  • 6. Jain, S.; Sharma, M. P.; Renewable Sustainable Energy Rev. 2010, 14, 667.
  • 7. Frankel, E. N.; Trends Food Sci. Technol. 1993, 4, 220.
  • 8. Frankel, E. N.; J. Sci. Food Agric. 1991, 54, 495.
  • 9. Orives, J. R.; Galvan, D.; Coppo, R. L.; Rodrigues, C. H. F.; Angilelli, K. G.; Borsato, D.; Energy Convers. Manage. 2014, 79, 398.
  • 10. Guzman, R.; Tang, H.; Salley, S.; Simon Ng, K. Y. ; J. Am. Oil Chem. Soc. 2009, 86, 459.
  • 11. Maia, E. C. R.; Borsato, D.; Moreira, I.; Spacino, K. R.; Rodrigues, P. R. P.; Gallina, A. L.; Fuel Process. Technol 2011, 92, 1750.
  • 12. Cornell, J. A.; Experiments with Mixtures - Designs, Models and the Analysis of Mixture Data, 3rd ed.; John Wiley and Sons Inc: New York, USA, 2002.
  • 13. ASTM D93: Standard Test Methods for Flash Point by Pensky- Martens Closed Cup Tester, Philadelphia, 2001.
  • 14. ASTM D664: Standard Test Method for Acid Number of Petroleum Products by Potentiometric Titration, Philadelphia, 2001.
  • 15. ASTM D4052: Standard Test Method for Density, Relative Density, and API Gravity of Liquids by Digital Density Meter, Philadelphia, 2002.
  • 16. Calado, V.; Montgomery, D. C.; Planejamento de Experimentos Usando o Statistica; E-papers Serviços Editoriais Ltda: Rio de Janeiro, Brazil, 2003.
  • 17. StatSoft®; Statistica for Windows Software v.9.0; StatSoft Inc., United States, 2009.
  • 18. EN 14112: Fat and Oil Derivatives. Fatty Acid Methyl Esters (FAME). Determination of Oxidation Stability (Accelerated Oxidation Test), European Committee for Standardization, Berlin, 2003.
  • 19
    EN 14103: Fat and Oil Derivatives. Fatty Acid Methyl Esters (FAME). Determination of Ester and Linolenic Acid Methyl Ester Contents, European Committee for Standardization, Berlin, 2003.
  • 20. EN 14110: Fat and Oil Derivatives. Fatty Acid Methyl Esters (FAME). Determination of Methanol Content, European Committee for Standardization, Berlin, 2003.
  • 21. ASTM D6584: Standard Test Method for Determination of Total Monoglycerides, Total Diglycerides, Total Triglycerides, and Free and Total Glycerin in B-100 Biodiesel Methyl Esters by Gas Chromatography, Philadelphia, 2003.
  • 22. EN 14214: Automotive Fuels. Fatty Acid Methyl Esters (FAME) for Diesel Engines. Requirements and Test Methods, European Committee for Standardization, Berlin, 2003.
  • 23. Agência Nacional do Petróleo, Gás Natural e do Biocombustível (ANP); Establishes the Specification for Biodiesel Commercialization in Brazil; Resolution No. 14, 11 May 2012.
  • 24. Knothe, G.; Fuel Process. Technol. 2007, 88, 669.
  • 25. Yang, Z.; Hollebone, B. P.; Wang, Z.; Yang, C.; Landriault, M.; Fuel Process. Technol. 2013, 106, 366.
  • 26. Domingos, A. K.; Saad, E. B.; Vechiatto, W. W. D.; Wilheim, H. M.; Ramos, L. P.; J. Braz. Chem. Soc. 2007, 18, 416.
  • 27. Ryu, K.; Bioresour. Technol. 2010, 101, S78.
  • 28. Loh, S. K.; Chew, S. M.; Choo, Y. M.; J. Am. Oil Chem. Soc. 2006, 83, 947.
  • 29. Obadiah, A.; Kannan, R.; Ramasubbu, A.; Kumar, S. V. ; Fuel Process. Technol. 2012, 99, 56.
  • 30. Karavalakis, G.; Hilari, D.; Givalou, L.; Karonis, D.; Stournas, S.; Energy 2011, 36, 369.
  • 31. Santos, N. A.; Cordeiro, A. M. T. M.; Damasceno, S. S.; Aguiar, R. T.; Rosenhaim, R.; Carvalho Filho, J. R.; Santos, I. M. G.; Maia, A. S.; Souza, A. G.; Fuel 2012, 97, 638.
  • 32. Borsato, D.; Maia, E. C. R.; Dall'Antonia, L. H.; Silva, H. C.; Pereira, J. L.; Quim. Nova 2012, 35, 733.
  • 33. Xin, J.; Imahara, H.; Saka, S.; Fuel 2009, 88, 282.
  • 34. Tan, C. P.; Man, Y. B. C.; Selamat, J.; Yusoff, M. S. A.; J. Am. Oil Chem. Soc. 2001, 78, 1133.
  • 35. Ong, L. K.; Kurniawan, A.; Suwandi, A. C.; Lin, C. X.; Zhao, X. S.; Ismadji, S.; J. Supercrit. Fluids 2013, 75, 11.
  • 36. Choi, C. S.; Kim, J. W.; Jeong, C. J.; Kim, H.; Yoo, K. P.; J. Supercrit. Fluids 2011, 58, 365.
  • 37. Chen, Y. H.; Chen, J. H.; Luo, Y. M.; Shang, N. C.; Chang, C. H.; Chang, C. Y.; Chiang, P. C.; Shie, J. L.; Energy 2011, 36, 4415.
  • 38. Chen, Y. H.; Luo, Y. M.; Fuel Process. Technol . 2011, 92, 1387.
  • 39. Xin, J.; Imahara, H.; Saka, S.; Fuel 2008, 87, 1807.
  • 40. Levenspiel, O.; Chemical Reaction Engineering, 3rd ed.; John Wiley and Sons Inc: New York, USA, 1999.
  • 41. Atkins, P.; de Paula, J.; Atkins' Physical Chemistry, 8th ed.; Oxford Press: New York, USA, 2006.
  • 42. Litwinienko, G.; Daniluk, A.; Kasprzyska-Guttman, T.; Ind. Eng. Chem. Res. 2000, 39, 7.
  • 43. Sivakumar, P.; Parthiban, K. S.; Sivakumar, P.; Vinoba, M.; Renganathan, S.; Ind. Eng. Chem. Res. 2012, 51, 8992.
  • 44. Boonchom, B.; Kongtaweelert, S.; J. Therm. Anal. Calorim. 2010, 99, 531.
  • *
    e-mail:
  • Publication Dates

    • Publication in this collection
      13 Nov 2014
    • Date of issue
      Nov 2014

    History

    • Received
      05 May 2014
    • Accepted
      05 Aug 2014
    Sociedade Brasileira de Química Instituto de Química - UNICAMP, Caixa Postal 6154, 13083-970 Campinas SP - Brazil, Tel./FAX.: +55 19 3521-3151 - São Paulo - SP - Brazil
    E-mail: office@jbcs.sbq.org.br