DOI:
10.1039/C6RA10379K
(Paper)
RSC Adv., 2016,
6, 56009-56017
Comparative study between microwave and ultrasonication aided in situ transesterification of microbial lipids
Received
21st April 2016
, Accepted 6th June 2016
First published on 6th June 2016
1 Introduction
The gradual depletion of fossil fuel reserves and the continued use of petroleum-based fuels have encouraged researchers to seek viable, sustainable, and environmentally friendly alternative sources of energy.1–3 The exploitation of vegetable oils for biodiesel production has created numerous problems for food supplies and arable lands. Therefore, microbial oils called single cells oils (SCO) are considered to be a viable alternative since they do not have an impact on food supply and they do not require arable lands and could replace fossil fuels.4 Many technical hurdles limit the use of these renewable source on large scale, especially, harvesting and extraction processes. Lipid extraction from oleaginous microorganisms required large amounts of organic solvents. Commonly, Folch method or its variant, the Bligh and Dyer method, have been used extensively for lipid extraction and quantitation.5 However, owing to the hazardous nature of extraction using flammable organic solvents, and the adverse impact of solvent on the environment, it is strongly recommended to reduce the organic solvents and time of the extraction process. Terpenes, green solvents obtained from plants have been investigated as a replacement of organic solvents, although their efficiency and high costs limit their potential uses.6 An ideal solution was to perform both extraction and transesterification processes simultaneously in one step thereby eliminating the solvent extraction step required to obtain the oil feedstock. In situ transesterification refers to the direct transesterification of lipids in a biomass matrix without prior lipid extraction and offers the advantage of reducing processing units, lowering the fuel product costs and later quantifying fatty acids. Besides, process wastes and eventual pollution could also be reduced by this method.7 Moreover, several methods are listed in literature (e.g. solvent, enzymatic, mechanical, alkali, acid); however, not all were applicable due to their relatively high cost and equipment corrosion. Besides, there is no definitive standard method for neither lipid extraction nor quantification, nor for process development.8 Current works were based essentially on lipid extraction from algal species.9–11
Consequently, choosing a relevant method and optimizing its parameters was the main challenge. Microwave-assisted in situ transesterification could be an alternative to address the above concerns. This method allowed cell disruption and enhanced mass transfer rates,12 which may result in high oils and lipids recovery.
Microwave irradiation has been reported to extract oil derived biomass, soils and vegetable feedstock.13–17 Besides, this method allowed good quality of extracts with better target compound recovery.
A process that enables simultaneous oil extraction and transesterification is thus worthwhile to develop. Response surface methodology (RSM), a multivariate technique, was used in this work to optimize the levels of different variables (e.g. temperature, reaction time, catalyst concentration, and different methanol to lipid molar ratios) reported highly critical in the in situ transesterification process. An optimum yield of FAMEs was envisaged. The analyses were performed on lyophilized biomass. Several trials were conducted to optimize the parameters related to this study. Besides, the impact of ultra-sonication aided in situ transesterification on FAMEs composition was also investigated.
2 Material and methods
2.1 Biological method
2.1.1 Crude glycerol, reagents and analyses. All the reagents were of analytical grade and used without further purification. Methanol, hexane and NaOH were purchased from Fisher Scientific, Canada. Crude glycerol was obtained from Rothsay in Canada. Ultra-sonication experiments were conducted with ultrasonic processor CPX 750 (Cole-Parmer Instrument, IL) at 24 kHz. Microwave trials were carried out with MARS microwave extractor (CEM Corporation, North, 155 Carolina, USA) equipped with Teflon tubes irradiated simultaneously. FAMEs were analyzed using a Gas Chromatograph linked with Mass Spectroscopy (GC-MS) (Perkin Elmer, Clarus 500). The dimensions of the column used are 30 m, 0.25 mm, with a phase thickness of 0.2 l m−1. The calibration curve was prepared with a mixture comprising 37 FAMEs (47885-U, 37 Component FAME Mix; Supelco, Bellefonte, PA, USA). 1.3-Dichlorobenzene was used as internal standard at 50 ppm.
2.1.2 Strain, culture and harvesting conditions. The strain, Trichosporon oleaginosus (ATCC20509) was grown in a glycerol based medium containing (per liter): 1 g (NH4)2SO4, 1 g KH2PO4, 0.5 g MgSO4·7H2O, 0.2 g yeast extract, 50 g glycerol, and minerals 0.04 g CaCl2·2H2O, 0.0055 g FeSO4·7H2O, 0.0052 g citric acid·H2O, 0.001 g ZnSO4·7H2O, and 0.00076 g MnSO4·H2O were added.18 Experiment was performed in 5 L fermenter at pH 6.5 and 28 °C. pH was controlled by the addition of 4 N (NaOH and H2SO4). After 70 h, the biomass was harvested by centrifugation at 5000 × g for 15 min. Biomass was washed twice with distilled water to remove the residual nutrients and glycerol. The experimental method is shown in Fig. 1.
 |
| Fig. 1 Schematic representation of different transesterification methods. | |
2.2 Chemical method
2.2.1 Conventional extraction and transesterification method. Extraction was carried out at room temperature using the standard chloroform and methanol extraction procedure.19,20 About 0.2 g dry biomass resulting from the fermentation of T. oleaginosus after 72 hours was mixed with 4 mL solvent mixture of chloroform and methanol (2
:
1 (v/v)), and then subjected to 60 °C for 4 hours. The mixture was then centrifuged at 5000 × g for 15 min and the solvent phase was withdrawn and transferred into a pre-weighed glass vial (W1). The extraction procedure was repeated two times. Afterwards, the vial containing the total volume of the supernatant collected from each extraction was subjected to 60 °C in an oven to evaporate the solvents and was then weighed (W2). The lipid amount was calculated by the difference of W2 and W1. The lipid content in the biomass is calculated as (W2 − W1)/200 mg × 100%. The obtained lipid was first dissolved in hexane (25 mL hexane per gram lipid), then mixed with methanol. Lipid to methanol molar ratio is 1
:
6 (0.3 mL methanol for per gram lipid). Sodium hydroxide was used as catalyst with addition of 1% (w/w) (NaOH/oil). The mixture was then subjected to 55 °C for 2 hours. After reaction, 5% (w/v) NaCl solution was added (100 mL NaCl solution per gram lipid), and then FAMEs was extracted by two times washing with hexane (100 mL per gram lipid). After phase separation by settling, the hexane phase (upper layer) was collected. The FAMEs in hexane was washed with 2% sodium bicarbonate solution (20 mL per gram lipid) and the mixture was allowed to stand for 15 min for phase separation, and the top layer was collected and dried at 60 ± 1 °C in an oven.21
2.2.2 Ultrasonication aided transesterification. Amounts of methanol and NaOH catalysts corresponding to mL equivalent of methanol/oil ratio (6
:
1, 183
:
1, 360
:
1) relating to 0.08, 2.45, 6.4 mL were added to 0.2 g of dry biomass and then reacted with a sonication probe immersed directly in the solution in a beaker placed in a water bath to control temperature at around 25 °C for 20 min. Thermal meter was inserted to the bath to check the temperature. The sonication time was fixed at 20 min with one pause (2 min) at every 5 min sonication, and methanol to oil ratio was set at 60
:
1–360
:
1 (v/w). Amount of catalyst was varied from NaOH catalyst at 1 to 5% (w/w).
2.2.3 Transesterification aided by microwave heating. Transesterification reactions were carried out in the presence of NaOH catalyst (1 to 5% (w/w)) at various reaction temperatures (40–100 °C). The catalyst was dissolved in methanol (6
:
1–360
:
1) (v/w) and the resulting solution was added to the oil. This reaction was then irradiated by microwave field under reflux and heated to the desired transesterification temperature in desired time. Power output of microwave was 400 W. An aliquot of 25 mL of the hexane was added to each vessel. This reaction was then irradiated by microwave field under reflux and heated to the desired transesterification temperature.
2.3 In situ transesterification with microwave
A pre-determined mass of 0.2 g of biomass was weighed accurately into each Teflon vessels. Corresponding percent of methanol and NaOH was added separately to each vessel. The microwave power was set to 400 W. The temperature was kept at ambient (±25 °C and the time was set to an initial 15 min ramp with 15 min hold time and a final 15 min cooling time). After the transesterification, vessels were removed, 5% w/v NaCl solution was added (1 mL per gram biomass) and all samples filtered using Whatman filter paper to remove the residual biomass and the solvent was evaporated. The collected samples were allowed to stand overnight or (centrifugation (5000 × g, 20 min)). A small aliquot of the supernatant was siphoned off and transferred to a vial for gas chromatographic analysis.
2.4 Two-stage process
The extractive-transesterification experiments were conducted using microwave radiation. In the two-step production, transesterification was carried out on the lipid previously extracted from dry biomass with chloroform/methanol (e.g. conventional method), then using microwave and ultrasonicator, following the transesterification (described in Section 2.2.2 and 2.2.3 and presented in Fig. 1).
2.5 Optimization of in situ transesterification by Box–Behnken design (BBD)
A 4-level 4-factor Box–Behnken design was adopted to evaluate the effects of temperature (X1), reaction time (X2), methanol to lipid molar ratios (X3), catalyst concentration (X4), and lipid conversion efficiency of T. oleaginosus on crude glycerol based medium. In this regard, the experimental plan contained 29 trials and the independent variables were studied at three different levels, namely low (−1), medium (0) and high (+1), whose values are shown in Table 1.
Table 1 Coding and levels of experiment factors
Factor |
Parameter |
Code level |
−1 |
0 |
+1 |
Temperature (°C) |
X1 |
40 |
70 |
100 |
Time (min) |
X2 |
20 |
40 |
60 |
Methanol to oil ratio (v/w) |
X3 |
6 : 1 |
183 : 1 |
360 : 1 |
Catalyst (% w/w) |
X4 |
1 |
3 |
5 |
The effect of the three factors and their interactions were studied using the response surface methodology.22 Based on experience and economic feasibility, a three factorial subset design was employed.23 The total number of experimental runs was 29 with replications as shown in Table 2. The temperature, time, methanol to oil ratio and catalyst were varied in the ranges of 40–100 °C, 20–60 min, 6
:
1–360
:
1 (v/w), 1–5% (w/w) respectively. The lipid conversion efficiency was taken as the response variable (Y). The experimental design used in this work is shown in Table 2. The response variable was fitted by a second order model to correlate the response variables to the independent variables. The second order polynomial coefficients were calculated and analyzed using the ‘Design Expert’ software (Version 7.0, Stat-Ease Inc., Minneapolis, USA). The general form of the second degree polynomial equation is:
|
Y = β0 + ∑βiXi + βijXiXj + ∑βiiXi2
| (1) |
Y: the predicted lipid conversion efficiency (% w/w lipid).
β0: the intercept.
βi: the linear coefficient.
βij: the quadratic coefficient.
βii: the linear-by-linear interaction between
Xi and
Xj regression coefficients.
Xi,
Xj: input variables.
Table 2 Box–Behnken design arrangement
Run |
Parameter |
X1 |
X2 |
X3 |
X4 |
1 |
0 |
−1 |
1 |
0 |
2 |
−1 |
1 |
0 |
0 |
3 |
1 |
0 |
0 |
1 |
4 |
1 |
0 |
−1 |
0 |
5 |
0 |
0 |
0 |
0 |
6 |
1 |
−1 |
0 |
0 |
7 |
0 |
1 |
0 |
1 |
8 |
0 |
1 |
0 |
−1 |
9 |
−1 |
−1 |
0 |
0 |
10 |
0 |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
−1 |
12 |
0 |
0 |
1 |
1 |
13 |
0 |
0 |
0 |
0 |
14 |
−1 |
0 |
−1 |
0 |
15 |
0 |
−1 |
0 |
−1 |
16 |
1 |
1 |
0 |
0 |
17 |
−1 |
0 |
0 |
−1 |
18 |
0 |
1 |
1 |
0 |
19 |
0 |
0 |
0 |
0 |
20 |
−1 |
0 |
1 |
0 |
21 |
0 |
0 |
−1 |
−1 |
22 |
0 |
−1 |
0 |
1 |
23 |
1 |
0 |
1 |
0 |
24 |
1 |
0 |
0 |
−1 |
25 |
0 |
0 |
0 |
0 |
26 |
−1 |
0 |
0 |
1 |
27 |
0 |
1 |
−1 |
0 |
28 |
0 |
−1 |
−1 |
0 |
29 |
0 |
0 |
−1 |
1 |
Statistical analysis of the model was utilized to evaluate the analysis of variance (ANOVA). This analysis englobed Fisher's F test (overall model significance), associated probability p (F), correlation coefficient R and determination coefficient R2. All parameters play role in measuring the goodness of fit of regression model. Quadratic models were used for each variable and were represented as contour plots (3D). Response surface curves were generated using Design Expert software.
3 Results and discussion
3.1 Statistical analysis of experimental design
The conventional extraction method which consisted of a mixture of chloroform/methanol (2
:
1 (v/v)) provided lipid content of 47.3 ± 0.9% (w/w) of dry biomass. This percentage is considered as 100% of conversion of biomass to lipid. The lipid conversion efficiency to fatty acids methyl esters (FAMEs) is calculated by determining amount of FAMEs by GC-MS and dividing this value by total lipids (g FAMEs/g total lipids). Many parameters have been reported to control the lipid efficiency including (e.g. the amount of catalyst added, reaction time, temperature and molar methanol to lipid ratio).
The statistical significance of the designs was determined by F-test for ANOVA (Table 3). As seen from this table, operating parameters had a significant effect on the fatty acid methyl ester content which is confirmed by the p-values of the analysis. Values of “Prob > F” are less than 0.05 which indicated that the model is significant with 98.54% confidence level. Therefore, the P-value of the lack of fit analysis was (<0.0001) which confirmed that the model was significant and reliable for lipid production in this study. Besides, correlation coefficient, R2 (0.989) supported the correlation between the in situ transesterification process parameters.
Table 3 Analysis of variance (ANOVA) for response surface quadratic model for the FAME content
Source |
Sum of squares |
dfa |
Mean square |
F value |
p-Value (Prob > F) |
df: degree of freedom. |
Model |
18 788 |
14 |
1342 |
98.545 |
<0.0001 |
X1 |
3502 |
1 |
3502 |
257.17 |
<0.0001 |
X2 |
0.05333 |
1 |
0.05333 |
0.00391 |
0.9510 |
X3 |
9622 |
1 |
9622 |
706.57 |
<0.0001 |
X4 |
0 |
1 |
0 |
0 |
1.0000 |
X1X2 |
10.563 |
1 |
10.563 |
0.77563 |
0.3933 |
X1X3 |
163.84 |
1 |
163.84 |
12.031 |
0.0038 |
X1X4 |
16.403 |
1 |
16.403 |
1.2045 |
0.2909 |
X2X3 |
0.9025 |
1 |
0.9025 |
0.06627 |
0.8006 |
X2X4 |
1.69 |
1 |
1.69 |
0.12410 |
0.7299 |
X3X4 |
9.3025 |
1 |
9.3025 |
0.68311 |
0.4224 |
X12 |
525.41 |
1 |
525.41 |
38.582 |
<0.0001 |
X22 |
0.01622 |
1 |
0.01622 |
0.00119 |
0.9730 |
X32 |
4968 |
1 |
4968 |
364.82 |
<0.0001 |
X42 |
0.19865 |
1 |
0.19865 |
0.01459 |
0.9056 |
Residual |
190.65 |
14 |
13.618 |
|
|
Lack of fit |
190.21 |
10 |
19.021 |
172.92 |
<0.0001 |
Pure error |
0.44 |
4 |
0.11 |
|
|
Cor total |
18 978 |
28 |
|
|
|
The value of adj-R2 (0.979) suggested that the total variation of 97.99% for the lipid concentration was attributed to the independent variables and only about 3.01% of the total variation could not be explained by the model. Besides, model coefficients for each variable are also shown in Table 3. The larger F-value and smaller P-value suggested higher significance of the corresponding coefficient. Among the model terms, X1 (temperature), X3 (methanol/oil ratio), X12, X32 were significant. By contrast, other terms were not significant. The relationship between the response and experimental levels of each variable can be demonstrated by three-dimensional response surface plots which represented the regression equation mentioned below:
|
Y = 82.5 + 17.08333X1 + 0.066666X2 + 28.316666X3 + 0X4 − 1.625X1X2 + 6.4X1X3 − 2.025X1X4 − 0.475X2X3 + 0.65X2X4 − 1.525X3X4 − 9X12 − 0.05X22 − 27.675X32 − 0.175X42
| (2) |
where
Y is the observed response (lipid conversion efficiency) for the microwave
in situ transesterification.
X1,
X2,
X3 and
X4 are the coded values of independent factors temperature, reaction time, methanol to oil molar ratio and catalyst amount, respectively.
3.2 Optimization of microwave process parameters with RSM
In conventional method of biodiesel synthesis, the reaction time and temperature are 30 min to 12 hours and 55–65 °C, respectively.24–26 Besides, Melo-Junior et al. (2009) have studied in detail the esterification of oleic acid (C18) under microwave irradiation while varying alcohol type (methanol or ethanol), temperature (150–225 °C) and molar ratio of alcohol/fatty acid (3.5–20), a conversion rate up to 60% was obtained in 60 min of reaction.27 In this regard, present study was carried out to optimize different parameters in the microwave assisted direct transesterification; reaction temperature, time, methanol to oil molar ratio and catalyst amount were chosen as variables. To compare the temperature effect on the conversion yield, in situ transesterification was conducted at 40, 80 and 100 °C. Thus, according to literature, when using a homogeneous catalyst (herein NaOH), harsher condition including high temperature28 is required to achieve high FAMEs yields. Besides, preliminary study has showed that only 14.5 ± 1.2% of FAMEs were obtained under low temperature at 25 °C. Conversely, higher conversion efficiency above (>90% ± 1.2 (w/w)) was obtained in a lower reaction time 20 min at 100 °C. Microwave effect at 100 °C was four fold compared to 40 °C which confirmed the positive role of temperature (low p value < 0.0001). At 70 °C, around 83 ± 0.6% of FAMEs (w/w) was obtained. Therefore, higher the reaction temperature, the more the reaction can be driven. This is in accordance with Im et al. (2014) who proved the positive effect of temperature on FAMEs yield, around 91.1% was obtained at 95 °C for 90 min.29 Moreover, Sunita et al. (2008) have observed that the conversion rate of oil to biodiesel increased significantly with the rise in temperature and was reported to be 73% and 97% at 180 and 200 °C, respectively.30 Moreover, a complete conversion (100%) of caprylic acid for the esterification was achieved at a higher temperature, 175–200 °C.31,32 High temperature may lead to the formation of microzones called “hot spots”, which lead to an increase in the escalation of chemical reaction rate.33 The loss of methanol was not seen in this study compared to current studies,25,34,35 this is mainly due to nature of the closed system that resists higher temperatures. Both high temperature and thermal effect caused by the microwaves enhanced the extractive properties of methanol to extract more lipids in the biomass via diffusive extraction and extended microwave effect caused the penetration through the cell walls and forces out the oils into the solvent mixture through disruptive extraction. Another observation to be taken in advantage from this work is the absence of emulsions and soap formation which is primarily related to the high temperature effect, thus, free fatty acids (FFA) are converted efficiently into FAMEs, which has been proven in previous studies that noted the role of microwave irradiation in the reduction of FFA content within the first 15 min.36 Furthermore, Kamath et al. (2011) reported around 87.39% of FFA reduction during the transesterification of crude karanjja oil through microwave irradiation.37 No soap formation is principally due to absence of the catalytic poisoning by water formed as a result of esterification, so that microwaves and high temperature reduced the free fatty acid content and made it easier to separate biodiesel and alcohol layers. As seen in Fig. 2, catalyst more than 3% (w/w) showed a positive effect on the in situ transesterification reaction. Herein, NaOH is used as a homogeneous, solvent–catalyst; the choice of this catalyst rather than others is related to its higher yield of biodiesel conversion rates,38 and its ability to break chemically the molecule of the raw renewable oil into methyl or ethyl esters. Highest biodiesel conversion of 93.94 ± 0.3% was observed using 3% (w/w) of NaOH catalyst with methanol to oil ratio of 183
:
1. Conversely, the lower amount of catalyst (proportional to methanol ratio 6
:
1) may not efficiently advance the reaction and gave a yield of 24.5 ± 0.1% (w/w) of conversion rate.
 |
| Fig. 2 Response surface plots showing binary interaction of different variables. The interaction between: (A) methanol/oil ratio (% v/w) and temperature (°C); (B) temperature (°C) and time (min); (C) catalyst amount (%) and temperature (°C); (D) methanol/oil ratio (%) and time (min); (E) catalyst amount (%) and time (min); (F) catalyst amount (%) and methanol/oil ratio (% v/w). | |
Methanol to lipid ratio had a significant effect on the in situ transesterification, and this was confirmed with a low P value <0.0001. Herein, methanol exhibited binary action and acted as a solvent for extraction of the microbial oils/lipids and a reactant for transesterification of esters.39 Thus, applying microwave irradiation during in situ transesterification will serve for dual purpose (e.g. rendering lipids available for reaction as well as intensification of process).
Methanol to oil molar ratio was varied from 6
:
1 to 360
:
1 in the microwave direct transesterification reaction. A lower ratio than 6
:
1 (v/w) does not favor the in situ transesterification process and a lower yield is observed. When the methanol to oil molar ratio was increased to 183
:
1, the maximum biodiesel conversion observed was 92.3 ± 1.0% because of the increased contact area between methanol and oil/lipid. This is in accordance with Sunita et al. (2008) who found that increasing methanol to oil ration from 10
:
1 to 20
:
1 enhance the conversion of sunflower oil to biodiesel from 30% to 90% respectively.30
Further increase of molar ratio up to 360
:
1 did not give significant difference. Generally, a higher amount of methanol may reduce the concentration of the catalyst in the reactant mixture and does not give higher yield during the transesterification reaction.40 Moreover, with a lower methanol ratio, the downstream cost can be controlled.41
The reaction time of around 20 min seemed to be adequate for the complete process. The reaction time had no significant effect (p-value = 0.9510) on the FAMEs content at higher temperature and even time can be further reduced. Generally, extended reaction times allowed higher exposure of microwave irradiations to the reaction mixture which resulted in higher efficiency of extraction and biodiesel conversion.
From the above analysis, the optimum given by the model to achieve a maximum of lipid conversion efficiency was 183
:
1 of methanol ratio with 2% of catalyst amount (w/w) and at temperature higher than 80 °C, around (99% ± 0.5% w/w total lipids) in minimum time required 20 min.
3.3 Comparison of microwave vs. ultrasonication for in situ transesterification
As discussed earlier, the biggest issue during in situ transesterification is the requirement of large volumes of solvent and longer reaction time. During microwave process, 183
:
1 (w/w) and 20 min was the optimum condition for lipid extraction and high biodiesel recovery. For this purpose, ultrasonification has been also tested for its efficiency regarding biodiesel conversion. Accordingly, ultrasonification has been carried out to achieve higher yields of conversion during esterification and transesterification. High conversions yields were reported for converting algal oils and vegetable oils which allowed reduction in the reaction time.42 This approach was highly dependent on temperature and other operating parameters. Around 97.3% was obtained during conversion of palm oil in 45 min at 60 °C with 0.3% KOH43 and higher temperature (>60 °C) was less effective during the conversion step. In the present study, ultrasonification is carried out in an open system which results in methanol evaporation. Besides, higher temperatures during ultrasonification were reported to lower FAMEs content.34,35 Although, higher temperatures are required for harsh extraction in the microwave as reported in the previous section (Section 3.2), Parkar et al. (2012) reported that physical effects of cavitation bubble dynamics in ultrasound assisted transesterification are more pronounced at lower temperature of 15 °C, albeit the low conversion yield of 13.45%.44 Hence, the temperature was fixed to 25 °C (neither high nor low). Herein, in situ transesterification using ultrasound was optimized considering catalyst amount, methanol to oil molar ratio, and reaction time as reaction parameters. The optimisation of different variables is given in Table 4. The model was highly significant (R2 = 0.998). This indicates that model cannot explain only 0.01% of the total variations which shows that the model fits quite well. Moreover, p value for the model was lower than 0.05, which confirms the statistical relation between the response and selected factors. This shows that regression analysis is statistically significant. Therefore in this model, most significant factors are methanol to oil molar ratio, (p < 0.0001) followed by catalyst amount (p = 0.114) and reaction time (p = 0.680).
Table 4 Box–Behnken model results for ultrasonication assisted direct transesterificationa
Run |
Time (min) |
Catalyst (%) |
Methanol/oil ratio (w/w) |
Lipid conversion efficiency (%) |
R-Squared = 0.998. Adj R-squared = 0.997. Pred R-squared = 0.983. |
1 |
60 |
3 |
6 |
25.1 |
2 |
40 |
3 |
183 |
92.3 |
3 |
40 |
3 |
183 |
93.0 |
4 |
40 |
5 |
6 |
25.8 |
5 |
20 |
3 |
6 |
28.9 |
6 |
40 |
5 |
360 |
95.9 |
7 |
40 |
1 |
6 |
25.9 |
8 |
40 |
3 |
183 |
93.9 |
9 |
60 |
5 |
183 |
94.1 |
10 |
40 |
1 |
360 |
93.9 |
11 |
20 |
1 |
183 |
90.1 |
12 |
40 |
3 |
183 |
92.1 |
13 |
60 |
1 |
183 |
93.4 |
14 |
20 |
3 |
360 |
92.2 |
15 |
20 |
5 |
183 |
95.5 |
16 |
60 |
3 |
360 |
92.2 |
17 |
40 |
3 |
183 |
94.2 |
Akin to microwave approach, catalyst amount of 1, 3 and 5% (w/w) were considered. Besides, beyond 5% (w/w) catalyst, no further increase in the conversion of the oil to biodiesel could be achieved as the reaction was limited by mass transfer. Maximum biodiesel conversion of 95 ± 0.5% (w/w) was observed using 5% (w/w), the catalyst in the presence of high methanol ratio 183
:
1. As seen in Table 4, it can be found that the efficiency of lipid conversion via ultrasonicator equipment (20 kHz, 700 W) increased with the increase of methanol to oil ratio and catalyst amount (%). P values were around (<0.0001) and (0.1140) for methanol to oil ratio and catalyst amount which justified their positive influence on the lipid conversion. Around 90.1 ± 2.2% (w/w total lipids) was attained in 20 min with 183
:
1 methanol to oil ratio (w/w). Higher conversion efficiency shown by ultrasound could be attributed to increased mass and heat transfer provided by the physical and chemical effects during intensification of reaction.45 Another observation to be pointed out by the present study is the formation of emulsions due to the reaction of catalyst with methanol. NaOH leads to water formation which slows the reaction rate and causes soap formation.46 Thus, the FAMEs mixture remains in emulsion for more than 12 hours. For that purpose, hexane was added and the mixture was filtrated and then allowed to stand for 15 min. Thereafter, the top layer of FAMEs in hexane was collected for quantification. However, at 100 °C with microwave irradiation, this problem was resolved since with closed vessels (under controlled pressure and temperature), the solvent can be heated above its normal boiling point, the fact that enhanced extraction efficiency and speed.47 Therefore, short reaction time, cleaner reaction product, and reduced separation–purification times are the key observations in this the present study.
For a conventional method, reaction time for the transesterification was assumed to be 12 hours. In contrast, with the microwave and ultrasounds, the time was reduced to 20 min. Herein, microwave-assisted reactions may reduce not only the time but also eliminate the need for the catalyst, however, higher reaction temperatures are required.48,49 During this process, microwaves interacted with triglycerides and methanol present in the mixture which resulted in increased of interfacial polarization (a combination of ionic conduction and dipolar momentum) and ionic conduction.12,50,51 These two reactions are the major causes of superheating phenomenon which is observed at elevated temperatures and led to a large reduction of activation energy with a high diffusivity of the solvent into the internal parts of biomass. Thus, methanol is defined to be a strong microwave absorber and the presence of an –OH group attached to biomass matrix behaves as though it was anchored to an immobile raft, so localized rotations result in localized superheating and the reaction may occur rapidly.52 Consequently, desorption of intracellular components (lipids droplets) from the active sites of the biomass matrix was enhanced.
When compared to microwave method, ultrasonic-assisted extraction uses cavitation process to recover oils from microbial cells. Resulting bubbles during this process collapse near cell walls so that the cell contents are released.49,50,53 The ultrasonic waves had a significant effect on cell disruption. A cavitation process is resulted due to the higher pressure and shear on the cell walls which contributes to the formation of free radicals of reacting species.54 Accordingly, ultrasound permits the formation of highly reactive radicals through dissociation of entrapped vapor molecules in the bubble, which are subjected to extreme conditions generated at the collapse of the bubble. In ultrasound assisted direct transesterification, cavitational effect caused by turbulence in reaction medium and free radicals are responsible for process intensification.55
During two-stage of conventional transesterification, around 93.8 ± 1.3% (w lipid/w total lipids) was achieved with methanol to lipid molar ratio 6
:
1 in the presence of NaOH amount 1% (w/w) lipid during 2 h, however, under similar conditions, only 3.0 ± 0.2% (w lipid/w total lipids) was obtained in in situ transesterification (one stage). To obtain higher efficiency, the increase of methanol to oil ratio above 360
:
1 and NaOH above 5% (w/w) were required, thus, more than 90.4% ± 1.5 was achieved during 12 hours. It is clear that in situ tranesterification required much larger amount of methanol and NaOH catalyst and far longer time to achieve similar lipid conversion yield than two stage transesterification process. These higher requirements during transesterification are due to the nature of cell wall that make barrier to solvent to access and extract lipid droplets from intracellular compartment. So more solvent is required to weaken, disrupt and penetrate into cell walls. In this regard, in situ transesterification is preferable to overcome these hurdles.
In the presence of microwave irradiation, transesterification was carried out in two stage and around 98.5 ± 0.5% (w/w) was obtained at 100 °C in the presence of 1% (w/w) catalyst and 183
:
1% (v/w) of methanol ratio. With ultrasonication method, a higher conversion efficiency of 94.1 ± 0.1% was achieved under same conditions at 25 °C. Therefore, transesterification carried in two stages with microwave irradiation or ultrasonication bubbles have the advantage to reduce the longer time and the large amount of catalyst.
In the present study, microwave assisted direct transesterification showed higher efficiency than ultrasound assisted in situ transesterification. Taken together, both approaches reduce the time, catalyst amount and energy requirements (Table 5). However, main obstacle for commercial application of these intensification methods is their scale up challenges. More research is required for successful implementation of these methods for direct conversion of microbial biomass to biodiesel at commercial scale. Besides, possible recovery of the catalyst from the residual biomass and its reuse needs more attention from the researchers. In this regard, future direction of research ought to focus on the process improvisation, catalyst recovery and reuse.
Table 5 Comparative study of in situ transesterification methods
|
Conventional |
Ultrasonication |
Microwave |
Time |
12 h |
20 min |
20 min |
Temperature (°C) |
60 |
25 |
100 |
Power requirements |
— |
700 W |
400 W |
Differences |
Easy separation |
Difficulty of separation (12 h) |
Separation and purification steps not required (5 min) |
Longer time |
Emulsification and saponification |
No emulsification |
Higher methanol content |
Reduced time |
Reduced time |
Lower catalyst and methanol amount |
3.4 Comparison of composition of FAMEs from different transesterification processes
The analysis of the FAMEs composition is presented in Table 6. Microwave in situ transesterification process with a molar ratio of 183
:
1 at 100 °C favored a higher content of C18:2. Similar results were observed during ultrasonication aided in situ transesterification at 25 °C, in 20 min and with a methanol to oil ratio of 183
:
1. Meanwhile, a lower C16:0 and C18:1 was observed. In fact, a lower molar ratio favored the production of phospholipids present in cell membrane.53 On the other hand, higher methanol
:
oil ratio disrupted cells and allowed more contact with lipid droplets and major FAMEs belonged to intracellular lipids. The composition of FAMEs from two stage transesterification, conventional in situ transesterification, microwave in situ transesterification and ultrasonication in situ transesterification were almost similar.
Table 6 Comparison of fatty acid profiles of biodiesel produced using transesterification methodsa
Fatty acids |
Conventional transesterification |
Microwave in situ transesterification |
Ultrasonication in situ transesterification |
6 : 1 |
183 : 1 |
360 : 1 |
6 : 1 |
183 : 1 |
360 : 1 |
6 : 1 |
183 : 1 |
360 : 1 |
The fatty acid content is less than 0.5% was not given. |
C14:0 |
ND |
0.5 |
ND |
ND |
0.5 |
0.5 |
ND |
0.5 |
0.5 |
C15:0 |
ND |
0.5 |
0.5 |
0.5 |
0.5 |
0.5 |
0.4 |
0.5 |
0.5 |
C16:0 |
22.1 |
26.5 |
28.4 |
25.9 |
28.2 |
28.5 |
25.7 |
28.5 |
28.7 |
C16:1 |
0.4 |
0.9 |
0.7 |
1.1 |
1.0 |
1.1 |
1.1 |
1.0 |
1.0 |
C18:0 |
9.0 |
9.9 |
10.5 |
9.2 |
9.9 |
10.1 |
9.3 |
10.1 |
10.2 |
C18:1 |
39.4 |
48.0 |
48.5 |
44.4 |
49.3 |
46.7 |
44.1 |
49.2 |
49.3 |
C18:2 |
28.5 |
11.8 |
10.3 |
19.0 |
8.9 |
9.0 |
18.1 |
8.1 |
8.9 |
C20:0 |
0.6 |
1.0 |
1.1 |
1.2 |
1.2 |
0.9 |
1.3 |
1.0 |
1.1 |
C22:0 |
0.27 |
0.27 |
0.27 |
0.27 |
0.27 |
0.27 |
0.27 |
0.27 |
0.27 |
C24:0 |
0.29 |
0.30 |
0.31 |
0.30 |
0.31 |
0.30 |
0.29 |
0.30 |
0.30 |
4 Conclusion
The production of single cell oils and their conversion process to biodiesel are of wide interest in fuel market. Lyophilized biomass of T. oleaginosus was utilized for the production of biodiesel using two means of in situ transesterification: microwave technique and ultrasonication. Among the two methods, microwave was found to give higher conversion efficiency to biodiesel amounting to 99 ± 0.5% w/w total lipids as compared to 95 ± 0.2% % w/w total lipids with ultrasonication assisted technique. Another advantage of microwave assisted transesterification is the absence of emulsions during the whole process, the fact that reduce the separation time obtained (>99% reduction in separation time), and all with a reduced energy consumption, meanwhile, a low reaction temperature (25 °C) was required for transesterification during ultrasonication method that will reduce the cost of production of biodiesel. Taken together, both approaches revealed that methanol
:
hexane efficiently converted FAMEs compared to conventional process which relied on chloroform
:
methanol 2
:
1 (v/v) and hexane mixtures and required more catalyst and more time to obtain the desired conversion efficiency. The in situ transesterification process proved to be faster and easier method to produce biodiesel with lower catalyst 1% (w/w) and in short time of 20 min. Overall, microwave in situ transesterification would be a promising alternative of the current two-stage transesterification process and combining the effects of the microwave and ultrasonic energy via hybrid reactor can be innovative and beneficial at large scale.
Acknowledgements
Special thanks are due to the Natural Sciences and Engineering Research Council of Canada (Grant A 4984, Strategic Grant-STPGP 412994-11, Canada Research Chair) for their financial support. The views and opinions expressed in this paper are those of the authors.
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