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Research Article

Assessment and Optimization of Conversion of L. siceraria Seed Oil into Biodiesel using CaO on Kaolin as Heterogeneous Catalyst

Aminu B. Muhammad, Kabiru Bello, Amamatu D. Tambuwal and Adamu A. Aliero
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Central composite response surface design was used to investigate and optimize the reaction conditions for conversion of L. siceraria seed oil into biodiesel with calcium oxide supported on kaolin as catalyst, whose concentration was held constant. The results (biodiesel yield) were fitted into a full quadratic model. Methanol to oil molar ratio and reaction time followed by temperature were found to be variably effective on the yield. The optimum and most economical condition for transesterification of L. siceraria oil to biodiesel was when the temperature, reaction time and methanol to oil molar ratio are held at 70.5°C, 60 min and 6.83, respectively. The model obtained has good predictive power. The catalyst was observed to be more effective in catalyzing the transesterification than either neat CaO or neat kaolin. The oil produced from the conversion process was found to meet most of the standard specifications set EU and ASTM.

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Aminu B. Muhammad, Kabiru Bello, Amamatu D. Tambuwal and Adamu A. Aliero, 2015. Assessment and Optimization of Conversion of L. siceraria Seed Oil into Biodiesel using CaO on Kaolin as Heterogeneous Catalyst. International Journal of Chemical Technology, 7: 1-11.

DOI: 10.3923/ijct.2015.1.11

Received: May 18, 2015; Accepted: July 24, 2015; Published: October 29, 2015


Depletion of fossil fuel reserves coupled with their negative environmental impact have been impetus to increasing search for alternative renewable fuels, to complement or replace petrofuels (Agarwal et al., 2015; Atabani et al., 2012). Biodiesel, fatty acid methyl esters of seed oils and fats, has been found suitable for use as fuel in diesel engine (Atabani et al., 2012; Hoekman et al., 2012). It is renewable and produces much fewer harmful emissions than conventional petrodiesel (Dwivedi et al., 2011; Issariyakul et al., 2008). Thus, its significant utilization instead of petrodiesel would lead to a decrease of the carbon dioxide, sulfur dioxide, unburned hydrocarbon and particulate matter emissions (Antolin et al., 2002).

However, in spite of these favorable attributes, the economic aspect of biodiesel production is the major barrier to its worldwide commercialization. The cost of biodiesel production is highly dependent on the cost of feedstock, which accounts for 60-80% of the cost of the finished product (Gui et al., 2008; Haas, 2005b; Singh and Singh, 2010). Partially or fully refined edible vegetable oils, such as soybean, rapeseed-and sunflower oils, are the predominant feedstock for biodiesel production (Haas, 2005a), which obviously results in the high price of biodiesel. Therefore, exploring ways to reduce the cost of the raw material is of great interest. Consequently, inedible oils are now being sought, from algae (Galadima and Muraza, 2014) as well as other crops and sources (Ashraful et al., 2014; Koh and Ghazi, 2011; Zhang et al., 2014), to help reduce the cost of biodiesel thereby making it competitive to petrodiesel (Haas, 2005b). In particular, Lageneria siceraria species (including Calabash) are among the cultivated crops in the north-western region of Nigeria that have no established large scale application. It has relatively short maturity time of about 3-4 months and produces large amount seeds with up to 50% inedible oil content and thus with stable price that may not subject to distortion by food prices.

Currently, the main process for the synthesis of biodiesel is the transesterification of vegetable oils using a strong base as homogeneous catalyst. However, this process presents some disadvantages, as it requires the use of relatively large amount of unrecoverable catalyst with consequent generation of waste/liquor which has to be treated (Daud et al., 2015) and the purification of glycerine. These aspects also play important roles in the economy of the process (Ramos et al., 2008), hence the growing interest on heterogeneous catalysts (Boon-anuwat et al., 2015; Borges and Diaz, 2012), which have generally found to be environmentally benign process and significantly reduce production cost of biodiesel (Kim et al., 2004; Sharma et al., 2011).

Recently, several studies on the transesterification of triglycerides have been conducted using heterogeneous catalysts, such as supported CaO (Kouzu and Hidaka, 2012; Yan et al., 2008), (CH3CH2O)2 Ca (Li and Rudolph, 2007), MgO-functionalized mesoporous catalyst (Li and Rudolph, 2007), MgO loaded KOH (Ilgen and Akin, 2009) and zeolites (Brito et al., 2007) among many others (Chouhan and Sarma, 2011; Gurunathan and Ravi, 2015; Konwar et al., 2014; Sani et al., 2014; Zabeti et al., 2009). In this paper we report the performance of CaO/kaolin as heterogeneous catalyst in the transesterification of inedible L. siceraria seed oils.


Sampling and sample preparation: Lagenaria siceraria (calabash) seeds were collected from Gummi in Gummi Local Government area of Zamfara State, Nigeria and were identified at the Botany Unit, Department of Biological Sciences, Usmanu Danfodiyo University, Sokoto. The seeds were dried and powdered for oil extraction. Kaolin, on the other hand, was obtained from a kaolin quarry at Kankara in Kankara Local Government area of Katsina State, Nigeria. The kaolin grounded into powder using mortar and pestle.

Extraction of oils: Oil from the powered seeds was extracted using Soxhlet extraction methods (60°C, 8 h) with n-hexane as a solvent after which the solvent was removed using a rotary evaporator (35°C, 30 mmHg). The percentage crude lipid yield was calculated from Eq. 1. The oil was stored at 20°C until required for experiments.


Catalysts preparation: Three different catalysts were used in this research and they were prepared as described below.

Kaolin preparation: Kaolin (~1000.0 g) was calcined (1000°C, 5 h) in a muffle furnace. After cooling, the kaolin was extracted with n-hexane using Soxhlet method (60°C, 8 h), to remove soluble organic matter and dried (100°C, 5 h). The resulting kaolin was labeled CK.

Preparation of CaO on kaolin: CK (40.0 g) was added to Na2CO3 solution (1 M, 100 cm3) in a beaker. The mixture was stirred for 30 min and CaCl2 solution (1 M, 100 cm3) was added slowly while stirring. The mixture was filtered and the residue (CaCO3 on kaolin) washed severally with distilled water, dried (110°C, 5 h) and then calcined (780°C, 8 h). This was labeled LK.

Preparation of CaO: The CaCl2 solution (1 M, 100 cm3) was added slowly Na2CO3 solution (1 M, 100 cm3) in a beaker while stirring. The mixture was stirred for 30 min and then filtered through Whatman No. 1 filter paper. The residue (CaCO3) was washed severally with distilled water, dried (110°C, 5 h) and then calcined (780°C, 8 h). The final residue left (CaO) was stored in a glass bottle until required.

Experimental design: Response surface (Box-Behnken) statistical experimental design was employed in designing the experiments for determination of the optimal conditions for conversion of L. siceraria oil into biodiesel using calcium oxide on kaolin (LK) as catalyst. Three independent variables including reaction time, methanol to oil molar ratio and temperature, selected based preliminary experimental study, were investigated and optimized. Table 1 shows the levels of the factors employed in the design.

Each run was set in triplicate and all the runs were completely randomized to obtain a total of 45 runs (Table 2). The design and analysis, as well as optimization, of the results were done on MINITAB 15 statistical software platform.

Description of experimental run: The CK (0.5 g) catalyst was added to a known amount of methanol mixed with L. siceraria oil (100 g) in a flat bottom flask. The amount of methanol was chosen to get the desired molar methanol/oil ratio (Table 2). The mixture was refluxed at constant stirring speed and at a temperature and for a period of time as specified in the design matrix (Table 2). At the end of the reaction time, the biodiesel (yellowish upper layer) was recovered using a separating funnel after complete separation overnight under gravity. The spent catalyst was recovered from the bottom layer by centrifugation (4500 rpm, 10 min). The crude biodiesel in an evaporating dish, was heated on a water bath (90°C, 30 min) to remove the residual methanol. It was further purified by neutralization with dilute phosphoric acid (pH 4.0), washed with hot distilled water until the washed water has a pH of 7.0 and the residual water was removed by drying at100°C over anhydrous Na2SO4. The biodiesel yield was calculated from Eq. 2 as follows:


Characterization of the catalysts: The X-Ray Fluorescence (XRF) analysis was conducted on glass bits prepared from kaolin, fresh CK and spent CK catalysts. The sample of the catalyst, in the platinum crucibles, was calcined (950°C, 30 min) in a muffle furnace. Then the calcined sample (1.2 g) was mixed with a mixture Lithium borate and lithium bromide (8.4 g) as flux. The mixture was fed in Claisse machine to obtain a glass bit, which was then analysed on an X-ray fluorescence analyzer to obtain the percentage elemental composition of the samples.

Table 1: Levels of the transesterification condition variables used in the experimental design

Table 2: Experimental design matrix and results (biodiesel yield) from the experimental runs


The results of biodiesel yield obtained from experimental runs conducted are presented in Table 2. The results show that the yield obtained within the condition investigated vary within a fairly narrow range of ±4.22% with minimum and maximum yields of 68.0 and 89.0%, respectively and the average yield of 82.14%.

Effect of the variables on the conversion process: Four main factors are known to affect biodiesel yield namely methanol/oil molar ration, temperature, reaction time and catalyst concentration (Freedman et al., 1984; Leung and Guo, 2006; Leung et al., 2010). The statistical effects of these variables in transesterification of L. siceraria seed oil with CaO/kaolin as catalyst are summarized in Table 3. The yield was fitted into a model consisting of linear, square and interaction terms. Table 3 shows that all the interaction and linear terms are statistically not significant (p>0.05) while two (t2 and r2) out of the three square terms are significant with p<0.05.

Table 3: Results from analysis of variance for yield (%)

Table 4: Estimated regression coefficients for yield (%)

The statistical insignificance of some of the terms investigated is due to the significantly large experimental error involved compared to the effect of the factors under investigation (Table 3). The effects of the variables are relatively small within the levels of the variable investigated. Nevertheless, the practical effects of the variables can be observed from the contour plots.

Table 4 shows the estimated coefficients of the respective terms of the fitted model. As observed from the ANOVA results (Table 3) only coefficients of two quadratic terms, namely t2 and r2, are statistically significant (p<0.05). It should however be noted that, with coefficient of regression (R2) of only 0.394, only about 40% of the data is described by the model hence the statistically significant lack-of-fit (p<0.005). Furthermore, although eliminating the statistically insignificant terms from the model, makes the model less cumbersome (Eq. 3) and the lack-of-fit statistically insignificant (p = 0.114), the coefficient of regression (R2) is reduced to 0.29.


Figure 1 contains contour plots showing how any two of the three factors investigated affect biodiesel yield while the third is held constant at the mid-value. High yields (>85%) are obtained at temperatures higher than 75°C when the reaction time is either 60-66 min or greater than 115 min (Fig. 1). A similar pattern is also displayed by r (M/O) against t (reaction time). Biodiesel yields above 85% are obtained at M/O values of about 6.2-7.8, when the reaction time is either below 66 or above 215 min, when the reaction time is between 66-115 min, lower yields are obtained irrespective of the levels of the reaction temperature and M/O. This is further confirmed by Fig. 1c: with the reaction time held at 90 min, the highest yield obtainable is 80.0-82.5%.

Fig. 1(a-c): Contour plots showing the effect of pairs of the factors on biodiesel yield when the third factor held constant, (a) Time*Temp, (b) M/O*Temp and (c) M/O*Time

It is also interesting to note that from both Fig. 1b and c, high (or <6.2) M/O results in relatively low yields irrespective of the levels of the reaction time and temperature. Although, interesting, it not clear, why the biodiesel yield decreases between 66 and 115 min after the reaction started.

To further gauge the effect of temperature and M/O, the reaction time is held at its lowest possible level of 60 min (Fig. 2). From the figure, higher yields (>86%) are obtained at temperatures between 88-108°C, when the M/O ratio is about 7.

Optimization of biodiesel yield: Optimization of the results using Minitab Response Optimizer facility gives six local solutions and one global solution (Table 5). All the solutions have M/O levels vary within relatively narrow range of 7.26±0.36 in agreement with observations from contour plots (Fig. 2). Reaction temperature and time however show significant variations amongst the solutions. As observed from Fig. 1, high yields are obtained at either low (60 min) or high (120 min) reaction times and temperatures above 70°C. However, taking process economics into consideration, solutions that require high temperatures and /or long reaction time are impractical. This eliminates solution 1 to solution 5 as economically more viable process conditions. Furthermore, global solution has the highest desirability (23.5%) and thus, gives highest yield (86.2%) compared to solution 6 (0.4 and 85.0%, respectively), the later operates at significantly lower temperature.

Fig. 2: Contour plot of M/O versus reaction temperature with the reaction time held at 60 min

Table 5: Results of optimization of biodiesel yield
T: Temperature, t: Time and e: M/O ratio

Table 6: Relative biodiesel yields of from heterogeneous transesterification of Lageneria siceraria seed oil using different catalysts
T: Temperature, t: Time and e: M/O ratio

The global solution requires an increase in temperature by up to 36.7% relative to solution 6, with added advantage of increased biodiesel yield of only about 1.4%. It may therefore be more economical to operate at conditions provided by solution 6 than at those provided by the global solution.

Table 6 compares the biodiesel yields obtained from transesterification of L. siceraria seed oil under the same condition but using different catalysts namely CaO, kaolin and CaO/kaolin. ANOVA reveals that the three yields are statistically different from each other. It is evident from the table that loading CaO on kaolin appears to significantly improve the catalytic activity of the CaO in agreement with previous observation that Al2O3 and SiO2 supported CaO exhibit more catalytic activity than neat CaO (Albuquerque et al., 2008; Umdu et al., 2009). This may partly due to increased basic site density and strength (Albuquerque et al., 2008) possibly associated with increased surface area and more importantly due to the intrinsic catalytic activity of the kaolin which appears to be even more catalytically active than the neat CaO (Table 6).

The relatively low activity of neat CaO compared to findings by other workers (Granados et al., 2007; Kouzu et al., 2008, 2009; Liu et al., 2008) might be due low methanol/oil molar ratio employed. For example biodiesel yield of up to 93% was obtained from transesterification of sunflower oil using neat CaO catalyst at 60°C but using oil/methanol molar ratio of 1:13 (Granados et al., 2007). Kaolin, being an aluminosilicate like zeolites (Brito et al., 2007; Sharma et al., 2011; Suppes et al., 2004; Xie et al., 2007), has Lewis acid site, due to the vacant orbital on aluminum and could so serve as acid catalyst in the esterification process while CaO serves as base catalyst.

Table 7 gives the fuel properties of the biodiesel produced using CaO/Kaolin as based-acid catalyst. With the exception of Acid value and Cetane number, the other properties are within the standards of American Society for Testing and Materials (ASTM) and European Standard (ES) for biodiesel (Boey et al., 2011; Leung et al., 2010; Ramachandran et al., 2013). However, both acid value and Cetane number are important fuel properties to be neglected. Acid value indicates the level of free fatty acids in the biodiesel. High values are associated with corrosion of metallic engine part and could so significantly decrease the life span of the engine at the long run. Cetane number, on the other hand, determines the ignition delay of the fuel in Compression Ignition (CI) engines. The higher the Cetane number, the shorter the ignition delay and thus the more easily the fuel combust because of more complete combustion the fuel and less intense shock resulting in smooth and quiet running of the engine. Thus, the biodiesel here obtained from L. siceraria seeds may require additives such as 3-ethylhexyl nitrate and di-tert-butyl peroxide to enhance the CN.

Composition and mineralogy of the catalyst: The results of XRF analyses of CK, LK and spent LK show that the catalysts consist mainly of SiO2 and Al2O3, with other oxide such CaO, Fe2O3, K2O, TiO2 occurring as minor components. Loading CaO on kaolin increased the CaO content from 1.42-3.62%. This resulted in increased biodiesel yield of about 16.9%. CaO appears to be lost during reaction hence the relatively lower CaO content in the spent LK (Table 8).

Table 7: Fuel properties of the biodiesel produced from Lageneria siceraria seed oil

Table 8: Results of XRF analysis of calcined kaolin, fresh CaO/kaolin and spent LK
CK: Calcined kaolin, LK: fresh CaO/kaolin


Calcium oxide supported on kaolin was used as heterogeneous catalyst to produce biodiesel from inedible oil from Lageneria siceraria seeds. The optimal and most economical process condition was discovered to be 70.5°C, 60 min and 6.83 for temperature, reaction time and methanol/oil molar ratio, respectively. Both neat CaO and kaolin were observed to catalyze the transesterification process, respectively. However, CaO supported on kaolin was observed to be more effective under the same conditions. The biodiesel produced using the catalyst was found to meet most of the EU and US specifications for biodiesel. In general, CaO/kaolin has been found to be a promising catalyst for heterogeneous catalysis of transesterification of vegetable oils into biodiesel.

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