International Journal of Science, Engineering and Technology Research (IJSETR)

Volume 1, Issue 1, July 2012

Statistical Optimization of Oil Extraction and

Biodiesel Preparation from Jatropha Curcas Kernel using In-Situ Transesterification Method

Khin Myo Myo, May Myat Khine

Abstract- Firstly, solvent extraction of oil from Jatropha

curcas kernel was investigated for biodiesel preparation. This extraction was optimized by using Box-Behnken design and response surface methodology (RSM). A quadratic polynominal equation obtained to predict the oil yield of 63 wt % was found to be solvent to kernel ratio of 15:1, reaction time of 4.4 hr and reaction temperature of 47

C using fixed stirring rate 200 rpm.

And then, biodiesel preparation of Jatropha kernel with in-situ transesterification using this optimum condition of oil extraction was taken. Molar ratio of methanol to oil (100:1), NaOH catalyst

(1%), reaction time (60 min), reaction temperature (60

C) and stirring speed (600 rpm) gave 90% of biodiesel yield.

Keywords-Box-Behnken, in-situ transesterification, Jatropha

curcas, RSM.

I.

I NTRODUCTION

Diesel fuel plays an important role in the industrial economy of a country. These fuels serve for a major part of the transport sector and their demand is steadily increasing, demanding an alternative fuel which is technically feasible, economically competitive, environmentally acceptable and readily available [1].

Biodiesel is chemically a mono-alkyl ester of long chain fatty acids derived from renewable biological sources such as vegetable oils and animal fats. As the demand for vegetable oil increase tremendously in recent years, it has become impossible to justify the use of these oils for fuel production.

Fortunately, non-edible vegetable oils, mostly produced by seed-bearing trees and shrubs can provide an alternative.

Jatropha curcas is a drought-resistant shrub or tree. The seed is the part of the Jatropha plant with the highest potential for utilization. It contains between 40% and 60% oil, and between 20% and 30% proteins. The seed and oil were found to be toxic to mice, rats, calves, sheep and goats, human, chickens and so on. The seeds are poisonous because they contain toxalbumine called curcine, cyanic acid related to ricinic acid and toxic phorbol esters. Phorbol esters were found to be responsible for purgative, skin- irritant effects and tumour promotion [2-6].

Transesterification method, one of the biodiesel preparations, is a chemical reaction between triglyceride and alcohol in the presence of catalyst.

In this reaction, triglycerides, as the main

Khin Myo Myo, Department of Chemical Engineering, Mandalay

Technological University, Mandalay, Myanmar, +95973199028(e-mail: skythoughts23@gamil.com).

May Myat Khine, Department of Chemical Engineering, Mandalay

Technological University, Mandalay, Myanmar, +9595341798., (e-mail: maymyatkhine81 @gmail.com). components of vegetable oils, react with an alcohol produce fatty acid mono-alkyl esters and glycerol. The transesterification reaction can be catalyzed by acid, alkalis or enzymes.

The other biodiesel preparation processes are supercritical and subcritical alcohol transesterification, microwave assited transesterification and in-situ transesterification.

In-situ transesterification is a biodiesel preparation method in which the oil-bearing material or biomass contacts with acidified or alkalized alcohol directly instead of reacting with pre-extracted oil and alcohol. This method combines extraction and transesterification process into one step. This could reduce the long production sequence associated with pre-extracted oil [7,8].

The objectives of this study are to investigate the optimum conditions for the oil extraction of Jatropha Curcas kernel using solvent extraction, to study the optimization of biodiesel preparation from Jatropha curcas kernel using in-situ transesterification method and analyse the product.

II.

M ATERIALS AND METHODS

A. Raw materials

Freshly harvested Jatropha curcas seeds were obtained from Agricultural Research Center (ARC) at Pyinmana. The seeds were selected according to their condition where damage seeds were discarded before seeds in good condition were cleaned, de-shelled and dried to 0.2% moisture content.

B . Chemicals

96% of n-hexane (E.Merck, India) as solvent, methanol

(95%), NaOH (96% purity) and phosphoric acid (85% concentration), Pure Chemical Indurteries, China, were purchased from local market.

C. Oil Extraction

The oil contents of jatropha seed, kernel and whole seed were investigated with solvent ratio range of 5:1 to 20:1, reaction time of 2 to 10 hr. Three extraction solvents, including n- hexane, ethyl acetate and iso-proponal, were tested to extract oil from jatropha kernel. From this study, solvent ratio of 15:1, reaction time of 6 hr and n-hexane gave higher oil yield than other conditions. Firstly, the seed kernels were ground by using a grinder. Then, 5 g of ground kernel and 115 ml of n-hexane (mass ratio of solvent to kernel, 15:1), were added into the two-necked flat bottom flask equipped with condenser and magnetic stirrer with reaction conditions of

200 rpm stirring speed, 50

C of reaction temperature. After reaching to the desired extraction time, the solid and liquid

1

All Rights Reserved © 2012 IJSETR

International Journal of Science, Engineering and Technology Research (IJSETR)

Volume 1, Issue 1, July 2012 mixture was separated with filter paper. The filtrate was then evaporated by condensation to recover n-hexane.

The oil yield was calculated as follows:

% oil yield

weight weight in gram of extracted oil in gram of ground kernel

(1)

D. In-situ transesterification

First of all, oil extraction step using optimum condition of extraction was taken with reflux condenser. Then, 87% of n-hexane was recovered. An accurate amount of NaOH catalyst was weighed and dissolved in methanol. After recovering n-hexane, the mixture of methanol and NaOH was added into the reactor and the reaction time was recorded.

When the desired reaction time was reached, reaction solution was separated by filtration. The solution was distilled to recover the mixture of methanol and remained cosolvent. The resultant filtrate was left to separate the crude biodiesel and glycerol layer. Then, small amount of phosphoric acid was added into the oil to naturalize the alkaline catalyst and remove the gums and phospholipids. Biodiesel-gum separation step was done by centrifugation with 1200 rpm about 20 min. After degumming, the biodiesel layer washed with distilled water until the washing water reached its natural pH by testing with pH paper and then dried at oven (±105 ◦

C) to remove moisture. The weight of the sample oil was recorded as the yield of biodiesel. Figure 1 showed the biodiesel preparation of Jatropha curcas kernel using in-situ transesterification method.

Jatropha seed

Deshelling

Kernel

Separation

Degumming

Glycerol

Phosphoric acid

Where, Y is the response or the product and x i

, x j are the uncoded independent variables, β

0,

β i,

β ii,

β ij, are intercept, linear, quadratic and interaction constant coefficients respectively and ε is the random error [9,11,12].

In this study, the oil extraction process was optimized by applying Box-Behnken design and response surface methodology. This technique is a powerful tool that involves the following general advantages: (1) More information per experiment than unplanned approaches. (2) A reduction in the number and cost of experiments. (3) It makes possible the calculation of the interactions among experiment variables within the range studied, leading to a better knowledge of the process. (4) It facilitates the determination of the operation conditions necessary for the scale-up of the process [10].

III.

R ESULT A ND D ISCUSSION

A. Result and Discussion of Oil Extraction

The oil contents of jatropha shell, kernel and whole seed were observed with solvent ratio range of 5:1 to 20:1 at reaction temperature of 50

C, reaction time of 8 hr and 200 rpm stirring speed to study the maximum oil content of the various parts of jatropha seed. As shown in Figure 2, jatropha kernels have the highest oil content. Then, reaction time of oil extraction was observed from 2 to 10 hr to obtain the optimum range of reaction time. In Figure 3, it was found that 6 hr and 8 hr of oil extraction gave the optimum range of reaction time for oil yield while the oil yield slightly decreased at 10 hr of extraction time. Thus, the reaction time of 6 hr was chosen for the purpose of economy. The oil extractability of jalropha kernel with various solvents such as n-hexane, ethyl acetate and iso-proponal was investigated. According shown in

Figure 3, n-hexane gave the highest oil yield. Through all experiments, reaction temperature of 50

C and 200 rpm stirring rate were fixed.

Grinding

(< 600µm)

Centrifugation

(1200 rpm)

Extraction

Transesterification n-Hexan

Washing/

Drying

Recovery n-hexane

Filtration

Methanol

+

Catalyst

Warm distrilled water

105 ± 5ºC

Biodiesel

Distillation

Methanol/ remained

Hexane

Figure 2. Oil extraction of jatropha seeds

Figure 1. Flow Chart for the Biodiesel Preparation from

Jatropha Curcas Kernel using in-situ transesterification method

E. Statistical Design

In order to study the optimum oil extraction, Box-

Behnken experimental design was employed. A three-level-three factor design was applied which generated

15 experimental runs including 3 center points. Selected variables for oil extraction were mass ratio of solvent to kernel (w/w), reaction time (hr) and reaction temperature (

C).

The general equation (2) for the second order polynominal equation is as follows:

Y

 

0

 i k 

1

 i x i

 k  i

1

 ii x i

2   i

1 j

 i

1

 ij x i x j

  (2)

Figure 3. Oil extraction of Jatropha kernel with various times

2

All Rights Reserved © 2012 IJSETR

International Journal of Science, Engineering and Technology Research (IJSETR)

Volume 1, Issue 1, July 2012

8

9

10

11

12

4

5

6

7

13

Figure 4. Oil exteraction of Jatropha kernel with various solvents; (1)iso-proponal, (2) ethyl acetate, (3) n-hexane

For design of experiment, independent variables and levels are displayed in Table 1 while Table 2 presents 15 experimental runs generated with experimental oil yields and predicted oil yields.

TABLE I

I NDEPENDENT V ARIABLES A ND L EVELS F OR B OX -B EHNKEN

D ESIGN

Variables

Mass ratio of solvent to kernel,g

Time,hr

Symbol

X

1

X

2

(-1)

5

2

Level

(0)

10

4

(+1)

15

6

Temperature,

C X

3

35 50 65

TABLE II

B OX -B EHNKEN D ESIGN M ATRIX , E XPERIMENTAL O IL Y IELD

A ND P REDICTED O IL Y IELD

Run no

1

Mass ratio of solvent to kernel ,

(x

1

)

0

Time, hr,

(x

2

)

+1

Tempera

-ture,

C,

(x

3

)

+1

Experimental oil yield, wt %

29.500

Predicted oil yield, wt%

29.790

2

3

-1

+1

+1

-1

0

0

21.023

50.560

20.806

50.777

+1

0

-1

+1

-1

+1

-1

0

0

0

+1

-1

0

0

0

0

-1

0

0

0

0

-1

-1

-1

+1

+1

0

0

0

0

56.970

30.460

50.686

50.686

60.000

33.570

31.060

61.500

29.770

50.684

57.256

31.036

50.685

50.683

59.423

33.279

30.774

61.573

29.696

50.685

14

15

0

0

-1

+1

+1

-1

33.000

33.900

32.497

34.402

TABLE III

A NALYSIS O F V ARIANCE F OR O IL Y IELD (W T %)

Source

Degree of freedom

SS Adj MS F value

P value

Regression

Linear

Square

Interaction

9

3

3

3

2439.7

1718.6

625.74

89.943

271.0

97.94

208.5

31.79

843.5

304.7

649.0

98.92

0.000

Residual error

Lack of fit

Pure error

5

3

2

1.61

1.61

0.00

0.321

0.536

0.00

401713.1

R 2 = 99.93, R 2 (adj) = 99.82

Multiple regression analysis of the experimental data gave the following second–order polynomial model equation.

Y = – 83.9142+ 0.7071X

1

+ 19.1857 X

2

+ 3.2299X

3

+0.0432 X

1

2

– 2.8314X

X

1

X

3

2

2 – 0.0308 X

– 0.0319X

2

X

3

2 + 0.4719 X

1

X

2

– 0.0108

3

(3)

The results of the second-order response surface model fitting in the form of ANOVA are given in Table 3. At 95% confidence level, the result showed that the P-value of the model terms were significant, i.e P<0.05. While experiment F vale was greater than tabulated F value (4.77), low probability values (P-value) presented a high significance for the regression model. To test the fit of the model, the regression equation and determination of coefficient (R 2 ) are evaluated.

In this case, the determination of coefficient value

(R 2 =0.9993) indicates that the sample variation of 99.93% for oil extraction is attributed to the independent variables and only 0.07% of the total variation are not explained by the model. The value of coefficient (Adj R 2 =0.9982) is also very high to advocate for a high significance of the model.

Therefore, equation (3) gives the model to predict theoretically the oil yield of extraction.

Figure 5. Response Surface of Oil Yield vs Mass Ratio of

Solvent to kernel & Time

Figure 6. Response Surface of Oil Yield vs Mass Ratio of

Solvent to kernel & Temperature

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International Journal of Science, Engineering and Technology Research (IJSETR)

Volume 1, Issue 1, July 2012

Figure 7. Response Surface of Oil Yield vs Temperature &

Time

The graphical representations of the regression equation for the optimization of Jatropha curcas kernel oil extraction are shown in figure 5-7. Figure 5 shows the response surface plot presenting the effect of reaction time, solvent ratio and their reciprocal interaction on the oil yield while keeping temperature constant at zero level. According to Figure 5, the high solvent ratio and high reaction time have the positive influences on the yield.

In Figure 6, the response surface figure described the effect of reaction temperature, solvent ratio and their mutual interaction effect on the oil yield while reaction times is kept constant at zero level. Solvent ratio appeared more effect on the oil yield than that of reaction temperature. At high reaction temperature, the oil content slightly decreased. It might be poor contacting time with solvent and kernel because of evaporating solvent.

The response surface plot representing the effect of reaction time, reaction temperature and their interaction effect on the oil yield with solvent ratio constant at zero level is demonstrated in Figure 7. Moderate reaction time and reaction temperature gave the highest oil yield. Maximum oil yield was found at moderate reaction time of 4 hr and reaction temperature of 50

C.

The theoretical oil (66 wt%) yield was with optimum reaction conditions, mass ratio of solvent to kernel of 15:1,

4.4 hr reaction time and reaction temperature of 47

C. After confirming this optimum condition, the actual maximum oil yield gave 63% (wt) with the error 4.5%. 95% confidence level allows up to 5 error percentage. This 63% oil yield was found nearly the same with futher researches.

Figure 8. Biodiesel preparation from Jatropha kernel with

NaOH(1%), 60

C, 1hr, 600rpm without recovery n-hexane

Figure 9. Biodiesel preparation from Jatropha kernel with

NaOH(1%), 60

C, 1hr, 600rpm with recovery n-hexane

3.03.

%

0

24.44

5 10 15 20 2 30

5

Figure 10. GC MS result of sample time

B. R esult and discussion of in-situ transesterification

Figure 8 showed that the study of biodiesel preparation with various molar ratio, NaOH catalyst 1%, reaction time of

60 min, reaction temperature of 60 ◦ C and stirring speed 600 rpm was carried out. From this experiment, 200:1 molar ratio gave th highest yield (80 wt%).As this molar ratio was quite high, experiments with recovered n-hexane was done in order to reduce the amount of molar ratio and to improve the product yield.

Figure 9 presented the preparation of biodiesel with recovered n-hexane and other reaction conditions are the same with the previous conditions. According to figure 9,

100:1 gave the highest yield (90%). So, the amount of molar ratio of methanol to oil could be reduced and improved the yield.

The composition of biodiesel sample was analyzed using

GC MS (Perkin elmer clarus). Figure 10 is the GC MS result of the bio diesel prepared with the condition of 100:1 molar ratio of methanol to oil, reaction temperature of 60

C reaction

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International Journal of Science, Engineering and Technology Research (IJSETR)

Volume 1, Issue 1, July 2012 time of 1 hr and 600 rpm stirring speed. Some esters were found in this GC MS result.

IV.

C ONCLUSIONS

In the present work, statistical design has been applied to optimize the extraction of oil from Jatropha kernel.

Box-Behnken design has been applied to optimize the variables determining the oil yield. Equation (3) given by the model is possible to adequately predict the required operating conditions. According to this study, the maximum oil yield of

63% (wt) was found at mass ratio of solvent to kernel (15:1), reaction time (4.4 hr) and reaction temperature (47

C).

Biodiesel preparation from Jatropha curcas kernel was investigated with solvent assisted in-situ transesterification method. Molar ratio of methanol to oil (100:1), catalyst 1%

(NaOH), reaction time of 1 hr, reaction temperature of 60

C and 600 rpm gave 90% (wt) yield.

[12] V. Shashikant, “ Process optimization for biodiesel production from mahua (Madhuca indica) oil using response surface methodology” ,

Indian Institute of Technology , 2006.

A CKNOWLEDGMENT

The author is very grateful to the Agriculture Research

Center (ARC), Pyinmana for the supply of raw materials,

Jatropha curcas seeds and Maj. Maung Maung Myint

(Assistast Lecturer), Chemical Technology Department,

Research Center, Pyin Oo Lwin for testing samples with GC

MS. The author wishes to express Dr. Tint Tint Kywe, Head of Department of Chemical Engineering, Mandalay

Technological University. The author deeply would like to express her gratitude to Dr. May Myat Khine (Lecturer),

Department of Chemical Engineering, Mandalay

Technological University for her kind, patient and guidelines to perform this study.

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