Research Article | | Peer-Reviewed

Extraction of Avocado Seed Oil with Ethanol and N-hexane Using CaCO3 as Coadjuvant: Optimization and Characterization

Received: 11 June 2025     Accepted: 27 June 2025     Published: 2 September 2025
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Abstract

This study aimed to assess the impacts of addition of CaCO3 as a coadjuvant in oil yield from Avocado Pear seed in a soxhlet extraction apparatus with ethanol and n-hexane as solvents. Response surface methodology (RSM) was employed to optimize parameters influencing oil yield during solvent extraction. A Box Behnken design with three factors: concentration of CaCO3 (1, 1.5, 2%), extraction time (90, 145, 180 min), and extraction temperature (25, 35, 45°C) was utilized for the optimization process. The linear model provided the most accurate fit to the experimental data with determination coefficient (R2) value of 0.8273. The optimized yield of avocado oil was 4.2343% for n-hexane and 6.8156% for ethanol. The fatty acids present in the oil were determined using gas chromatography, and oleic acid was the dominant fatty acid. The values of main physiochemical properties evaluated were: Light Honey brown, Honey brown – colour; Fruity odour, Fruity odour – odour; 150.0114mgKOH/g, 67.32mgKOH/g – saponification value; 1.1809506%, 1.864302% – free fatty acid; 44.892mgI/g, 65.736mgI/g – iodine value; 1.95%, 1.17% – Moisture content; 5.07, 5.04 – pH and 0.291 meq/kg, 0.558 meq/kg – peroxide value for n-hexane and ethanol solvents, respectively. The oil high saponification value and low iodine value makes it applicable in soap making industries, as lubricant in industrial machine and as a stabilizer in other industrial process.

Published in American Journal of Applied and Industrial Chemistry (Volume 8, Issue 2)
DOI 10.11648/j.ajaic.20250802.12
Page(s) 41-52
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Avocado Pear Seed, Extraction, CaCO3, Response Surface Methodology, Optimization

1. Introduction
Vegetable oil is the major substitute to petroleum based oils because they are biodegradable, environmentally friendly and also renewable . Seeds and nuts from plants are the core sources of vegetable oil used for both domestic, medicinal and industrial purpose. Vegetable oils generally contain about 98g/100g triglycerides . Tri-esters resulted from a reaction between glycerol and fatty acids, and other substances in a minority proportion . Some of them such as diglycerides, vitamins, phytosterols, tocopherols, and polyphenols have important health benefits in humans .
The avocado (Persea americana) is a popular fruit in a subtropical/tropical region native to Mexico and Central America, and are widely produced and consumed worldwide. It belongs to the Lauraceae family and the genus Persea, of which there are more than 150 known species . Avocado seeds are often disposed as waste but lately, they are gaining more attention for their prospective health benefits and environmentally friendly significance. Avocado seeds are rich source of dietary fiber, antioxidants, and essential nutrients. Studies have emphasized that the seeds contain significant amounts of fiber, which can aid in digestive health and contribute to a feeling of fullness . Additionally, they are also filled with polyphenols and flavonoids, which have been shown to have antioxidant properties that can help to neutralize free radicals and reduce oxidative stress .
The conventional solvent extraction (CSE) process is amongst other factors based on the ability of the solvent to dissolve oils and to extract them from the seeds. Therefore, the solvent must be able to solubilize the oil for an efficient extraction. It is the most commonly used method usually carried out either as a batch or continuous process. Crude oil and meal quality depend mostly on type of solvent used, reaction temperature, and type of pretreatment given to the oilseed . The solvent-extraction method is preferable because it is cost efficient and easy to use .
The present invention provides, calcium carbonate as a new technological adjuvant in oil and fat extraction processes. Understanding that calcium carbonate is authorized as a food additive and due to its high specific weight (2.72g/cm3), which makes it easily removable by centrifugation, studies were carried out for the use of calcium carbonate as technological aids in the processes of extracting oils and fats, more preferably vegetable oils, even more preferably olive oil, and even more preferably virgin or extra virgin olive oil . This method has not been employed in the extraction of vegetable oil from avocado seed.
Response Surface Methodology (RSM) uses a number of mathematical and statistical techniques which are employed to model and analyze problems in two or more process variables that have an influence on the intended response . Amongst the many RSM designs available, the central composite design (CCD) and the Box-Behnken design (BBD) have been popularly used for oil extraction processes. In this study, Box-Behnken design was used to optimize the extraction of vegetable oil from avocado seed using ethanol and n-hexane as solvents and CaCO3 as coadjuvant.
2. Methodology
2.1. Materials
Avocado was purchased from Ikorodu, Lagos State. Nigeria. N-hexane and ethanol used as solvent were of analytical grade A. CaCO3 (purity 99.95%; GHTECH, China) was used as coadjuvant. Other reagents used are sodium hydroxide, potassium hydroxide, sulphuric acid, starch indicator, sodium chloride, potassium iodide, phenolphthalein and chloroform, which are all of analytical grade. All chemicals were used in their original form without any further processing. Distilled water was used throughout the experiment.
Soxhlet extractor was used as the extraction medium, Setra digital balance (410S model) was used to measure the masses of the materials.
2.2. Methods
2.2.1. Preparation of Raw Material
The avocado seed was grated and sun dried for 3 days. It was grinded into fine powdered particle, sieved with size 40 mesh screen and stored in a polythene bag, in a cool place for further analysis.
2.2.2. Experimental Design
The response surface methodology was employed in order to optimize the extraction process that produces the optimum oil yield. Design Expert Version 13 (Stat-Ease, Inc.) software was used to optimize the parameters influencing the oil yield. The Box-Behnken design with three-level-three-factor was selected considering the range employed in literature based on the concentration of CaCO3 and temperature.
2.2.3. Oil Extraction from Avocado Seed
Table 1. The independent variables and code that was used for the optimization of parameters.

Variables

Coded values

-1

0

1

Concentration of CaCO3, X1 (% w/w)

1

1.5

2

Extraction time, X2 (mins)

90

135

180

Extraction temperature, X3 (°C)

25

35

45

Oil was extracted from the avocado seed powder with the aid of 2 different solvents (n-hexane and ethanol) in a Soxhlet apparatus using the independent variables stated in Table 1. 20g of the flakes was filled inside a filter paper, after which a predetermined amount of powdered CaCO3 was added, all tied together and inserted into the thimble of the Soxhlet extractor. The round bottom flask of the Soxhlet extractor was filled with 100mL of n-hexane (or ethanol) respectively following the ratio 1: 3mL. The extraction time and temperature was set according to the given values from the Box Behnken design. Extraction was performed in 500mL round-bottom flasks placed on a heating mantle
This process yielded the crude avocado oil. The recovered yield or extraction efficiency (EE) was estimated using Equation (1).
Percentage extraction yield of oil =mass of oil mass of sample ×100(1)
2.2.4. Characterization of Avocado Seed Oil
The crude oil samples were subjected to Gas Chromatography Mass Spectrophotometer (GCMS) for fatty acid profiling and various physicochemical analyses to determine their properties such as saponification value, iodine value, peroxide value, free fatty acid value, colour, odour, moisture content and pH.
Fatty acid profiling
10mL of each sample was weighed into an amber bottle and 20mL of dichloromethane was added to it. This was shaken rigorously for 30 min using a mechanical shaker, and thereafter filtered into a beaker. The filtrate was allowed to concentrate, then transferred into a sample vial and stored in a refrigerator awaiting analysis. 1mL of the pure standard total petroleum hydrocarbons was first injected into the gas chromatography to obtain a standard equipment chromatogram and peak area. This was used to calibrate the GC for the test sample. Then 1mL of test sample was injected into the GC as well to obtain equivalent chromatogram and peak area. Then the peak area of the test sample is compared to that of the standard with respect to the concentration of the standard to get the concentration of the test sample .
(2)
Physicochemical properties of avocado seed oil
1) Determination of Colour
Avocado seed oil colour, depends on the extraction process and maturity of the avocados. It is done by placing oil in a clear container against a white background allows for visual comparison using the sense organ (Eyes). It can provide useful insights into its quality, freshness, and potential uses in industrial applications.
2) Determination of Odour
The odour of the oil was determined through organoleptic evaluation by smelling through sense organ (Nose). They may note attributes like fruitiness, nuttiness, or any off-odors that indicate spoilage or rancidity.
3) Determination of Moisture Content
Moisture content refers to the percentage of water in oil. Determining the moisture content of avocado seed oil is crucial for ensuring its stability and safety. The moisture content of the sample was determined using a hot air oven according to the method of AOAC , at 105°C, until it has constant weight.
%Moisturecontent=W2-W3W2-W1 ×100(3)
where W1= Weight of petri dish, W2= weight of the sample and petri dish before drying, W3= weight of the sample and petri dish after drying.
4) Determination of Iodine Value
1mL of oil sample was weighed into a 500mL volumetric flask. 15mL of carbon tetrachloride was added to the sample and swirled to ensure that the sample is completely dissolved. 25mL of iodine monochloride solution was then dispensed into the flask containing the sample using a pipette. The flask was stoppered and swirled to ensure complete mixing. The sample was then placed in the dark for 30 min at room temperature. The flask was removed from storage and 20mLof 10% potassium iodide (KI) solution was added, followed by 150mL of distilled water. The mixture was titrated with 0.1N sodium thiosulphate (Na2S2O3) solution, added gradually and with constant and vigorous shaking until yellow colour had almost disappeared. 1.5mL of starch indicator solution was added and the titration was stopped when blue colour disappeared. A blank determination was conducted simultaneously .
Iodinevalue(IV)=12.6×𝐶×(V2-V1)×𝑀(4)
where, C = concentration of Sodium thiosulphate used, V1 = volume of Sodium thiosulphate used for the blank, V2= volume of sodium thiosoulphate used for determination, M = mass of the sample.
5) Determination of Saponification Value
The sample was filtered through paper to remove any impurities and the last traces of moisture until it was completely moisture free. 1mL of the sample was weighed into a flask; 25mL of alcoholic KOH was added and allowed to drain for 1 min. A blank was prepared by also taking 25mL of KOH and allowing it to drain for a few minutes. The air condenser was connected to the flasks and allowed to boil gently for about 1 h. After the flasks and air condenser got cooled, they were rinsed with a little distilled water and then removed. 1mL of indicator was added and the mixture was titrated against 0.5N HCl until the pink colour disappeared .
Saponificationvalue(SV)=(X-Y)×N×56.1W(5)
where X = blank titre value (ml); Y = Sample titrate value (ml); N = normality of HCl; the molecular weight of KOH = 56.1; W = weight of sample (g).
6) Determination of pH Value
pH is a measure of alkalinity (acidity or basicity) of a solution. It ranges from 1 - 14. Electronic pH meter was used to measure the value of the solution using a glass electrode. It was used to determine the acid value of the oil; which could impact the oil’s vulnerability to microorganisms’ degradation, shelf life and overall quality .
7) Determination of Peroxide Value
An approximately 3 g of the sample was transferred into a 250mL Erlenmeyer flask which was closed immediately with glass stopper. 50mL of solvent mixture was added with 1mL of freshly prepared saturated potassium iodide solution, and allowed to react for 60 seconds, while agitating manually but vigorously the solution at least twice. 100mL of water was added and the mixture was shaken. The mixture was titrated with sodium thiosulfate solution, using 1mL starch solution indicator from a purple to a slight yellow endpoint. The indicator was added towards the end of the titration while the pale straw colour was still present. The titrated mixture was shaken until the blue colour disappears. A blank titration was carried out under the same conditions, with no more than 0.5mL of sodium thiosulfate solution consumed for this purpose .
(6)
where POV1 = peroxide value expressed in meq/kg; V1 = consumption of sodium thiosulfate solution in the main test, inmL; V0 = consumption of sodium thiosulfate solution in the blank test, inmL; c = molar concentration (molarity) of the sodium thiosulfate solution in mol/L; T = titer of the thiosulfate solution; m = weighed portion of substance in grams.
8) Determination of Free Fatty Acid
1mL of sample was added to 50mL of the neutral solvent in a 250mL conical flask. A few drops of phenolphthalein were added and the mixture was titrated against 0.1N KOH. It was shaken constantly until a pink color which persisted for 15 seconds was obtained .
%freefattyacid=V×N×W10×W(7)
where V = Volume of titre, N = Normality of NaOH, M = Molar mass of oil, W= Weight of sample.
3. Results and Discussion
3.1. Experimental Model Fitness and Optimization
Based on the results of the study, avocado oil yield was obtained based on the variables (CaCO3 concentration, extraction temperature, extraction time) that affect the yield of the selected oil. The yield results obtained by the Box-Behnken RSM method are shown in Table 2. A total of 17 experimental runs were conducted and the results were analyzed using the multiple regression method.
Table 2. Oil yield from Avocado pear seed using ethanol and n-hexane as solvents.

Run

X1: Concentration (%)

X2: Extraction time (min)

X3: Temperature (°C)

Res 1: Oil yield 1 - Ethanol (%)

Res 2: Oil yield 2 - N-hexane (%)

1

2

135

45

9.205

4.170

2

1.5

135

35

7.250

3.955

3

2

135

25

6.005

4.050

4

1

180

35

9.380

5.740

5

1

90

35

6.300

3.400

6

1.5

180

45

9.575

6.195

7

1.5

135

35

7.295

3.540

8

2

90

35

6.250

3.135

9

1.5

90

45

6.590

3.255

10

1.5

135

35

7.550

4.145

11

1.5

90

25

5.990

2.655

12

1.5

180

25

7.490

5.175

13

1.5

135

35

7.495

4.120

14

1

135

45

8.535

3.555

15

2

180

35

8.015

5.625

16

1.5

135

35

7.900

4.320

17

1

135

25

5.725

3.350

The result of statistical analysis of variance (ANOVA) carried out for the response (oil yield using ethanol as solvent) to obtain the linear model is also presented in Table 3. The results show that time and temperature of extraction had a very significant effect (p<0.0001) on the avocado oil yield obtained. The model F-value of 25.68 implies the model is significant. But RSM suggested that there is an only chance that an F-value this large could occur due to noise. P-value less than 0.0500 indicate the model terms are significant where in this case, X2 (extraction time) and X3 (temperature) are the significant model terms. Values greater than 0.1000 indicate that the terms are not significant, which is the case of X1 (concentration of CaCO3). This may be related to the ripeness of the avocados used. Squeo et al., , stated in a study that the effects of the use of coadjuvant itself vary depending on the initial characteristics of the fruit used, one of which is the maturity level of the fruit.
Table 3. Analysis of Variance (ANOVA) for linear model of oil extraction.

Solvent: Ethanol

Source

Sum of squares

Df

Mean square

F-value

p-value

Remark

Model

20.36

3

6.79

25.68

< 0.0001

Significant

X1: Conc. of CaCO3

0.027

1

0.027

0.1023

0.7542

X2: Extraction time

10.88

1

10.88

41.18

< 0.0001

X3: Temperature

9.45

1

9.45

35.76

< 0.0001

Residual

3.44

13

0.2643

Lack of Fit

3.17

9

0.352

5.27

0.0622

Not significant

Pure Error

0.267

4

0.0668

Cor Total

23.79

16

Solvent: N-hexane

Model

13.82

3

4.61

27.34

< 0.0001

Significant

X1: Conc. of CaCO3

0.1093

1

0.1093

0.6486

0.4351

X2: Extraction time

13.24

1

13.24

78.56

< 0.0001

X3: Temperature

0.4729

1

0.4729

2.81

0.1177

Residual

2.19

13

0.1685

Lack of Fit

1.84

9

0.2045

2.34

0.2149

Not significant

Pure Error

0.3502

4

0.0875

Cor Total

16.01

16

The result of statistical analysis of variance (ANOVA) carried out for the response (oil yield using n-hexane as solvent) to obtain the linear model is also presented in Table 3. The results also show that time and temperature of extraction had a very significant effect (p<0.0001) on the avocado oil yield obtained. The model F-value of 26.64 implies the model is significant. Also, RSM suggested that there is an only chance that an F-value this large could occur due to noise. P-value less than 0.0500 indicate the model terms are significant where X2 and X3 are the significant model terms. Values greater than 0.1000 indicate that the terms are not significant, which is the case of X1. This also shows that CaCO3 concentration did not significantly affect the avocado oil yield obtained when using n-hexane as extraction solvent.
For the ethanol-assisted oil extraction, the Lack of fit value of 5.27 implies there is a 6.22% chance that it could occur due to noise. The fit statistics as shown in Table 4 for ethanol-assisted oil extraction indicates the model fit quality was determined based on the determination coefficient R2 where the value obtained is 0.8556. This value indicates that the model successfully controls the relationship between the adjusted process parameter and the resulting yield value. The value of the adjusted coefficient of determination (Adjusted R2 = 0.8223) is high, indicating that it supports the significance of the model. The Adeq. Precision measures the signal to noise ratio. A ratio greater than 4 is desirable. The ratio of 18.0715 obtained in this work indicates an adequate signal.
Table 4. Fit statistics for the experimental models for oil extraction.

Parameters

Solvents

Ethanol

N-hexane

Standard deviation

0.5141

0.4105

Mean

7.44

4.14

Coefficient of Variance

6.91

9.91

R2

0.8556

0.8632

Adjusted R2

0.8223

0.8316

Predicted R2

0.7092

0.7393

Adeq. Precision

18.0715

15.3625

Also, the Lack of fit value of 2.34 in n-hexane-assisted oil extraction implies there is a 21.49% chance that it could occur due to noise. The fit statistics as shown in Table 4 for n-hexane-assisted oil extraction indicates the model fit quality was determined based on the determination coefficient R2 where the value obtained is 0.8632. This value indicates that the model successfully controls the relationship between the adjusted process parameter and the resulting yield value. The value of the adjusted coefficient of determination (Adjusted R2 = 0.8316) is high, indicating that it supports the significance of the model. The Adeq. Precision measures the signal to noise ratio. A ratio greater than 4 is desirable. The ratio of 15.3625 indicates an adequate signal.
A graphical representation of interactive effects of independent variables, based on the 2 extraction solvents, are shown in Figures 1-6. The Figures shows how CaCO3 concentration, temperature and extraction time affect the oil yield value (%). Different surface heights show different levels of response. Ginting et al., revealed that a long extraction time makes the contact between the solvent and the material to be extracted longer; therefore, the diffusion rate of the solvent into the solid is greater and the circulation becomes longer and this is what causes the resulting yield to be greater. Temperature can also affect yield results because an increase in temperature can cause the pores of the solid to expand so that the solvent easily diffuses into the pores of the solid so that it can dissolve avocado seed oil.
Figure 1. Interactive effect of CaCO3 concentration and extraction time on avocado oil yield from ethanol solvent.
Figure 2. Interactive effect of CaCO3 concentration and extraction temperature on avocado oil yield from ethanol solvent.
Figure 3. Interactive effect of extraction time and temperature on avocado oil yield from ethanol solvent.
Figure 4. Interactive effect of CaCO3 concentration and extraction time on avocado oil yield from n-hexane solvent.
Figure 5. Interactive effect of CaCO3 concentration and extraction temperature on avocado oil yield from n-hexane solvent.
Figure 6. Interactive effect of extraction time and temperature on avocado oil yield from n-hexane solvent.
This study resulted in yield of avocado seed oil ranging from 5.725 – 9.575% for yield 1: ethanol, 2.655 – 6.195% for yield 2: n-hexane. The yields obtained are greater than the 3.63% value reported by Otaigbe et al., . The difference may be due to the method of extraction and ripening stage of the avocado used for the experiment. This was corroborated by Arukwe et al., , that ripening stage of avocado can affect the percentage yield of oil. From the result the extraction time is shown to be the most important factor that affects the oil yield. The oil yield increases as times increases from low to high as higher extraction time results in more oil yield. Also an increase in temperature also leads to an increase in oil yield. This experimental result showed that the CaCO3 concentration did not significantly increase the avocado oil yield obtained but it increased the efficiency of the releasing oil droplet within a short period of extraction time and temperature used. However, there was no consequential effects of interactions between the extraction variables.
The expected values obtained from this technique appear to be strongly correlated with the observed values. The linear model equations (including coded factors and actual factors) related to avocado seed oil extraction yield for samples with CaCO3 with different process parameters are shown in Table 5 below.
Table 5. Model equations for avocado oil yield using ethanol and n-hexane as solvents.

Solvent: Ethanol

Solvent: N-hexane

In terms of Coded Equation

In terms of Actual Equation

In terms of Coded Equation

In terms of Actual Equation

Avocado oil yield

=

Avocado oil yield

=

Avocado oil yield

=

Avocado oil yield

=

7.44

0.31568

4.14

-0.92

-0.0581

X1

-0.11625

CaCO3 conc

0.1169

X1

0.23375

CaCO3 conc

1.1700

X2

0.025917

Extraction time

1.2863

X2

0.02858

Extraction time

1.0900

X3

0.108687

Extraction temperature

0.2431

X3

0.043123

Extraction temperature

The optimum condition of the extraction process was achieved by employing the numerical solution of the RSM software package. The optimum condition of the extraction process was achieved by employing the numerical solution of the RSM software package. The optimum condition was observed to be 1.87% – CaCO3 concentration, 150.46 min – extraction time and 29.92°C - extraction temperature for both the ethanol-assisted and n-hexane-assisted extraction processes. The desirability factor was 1.00 and the corresponding oil yields were 7.25 and 4.55% (g/100g oil sample) for both the ethanol-assisted and n-hexane-assisted extraction processes, respectively. The optimum conditions were used to validate the experimental models.
3.2. Fatty Acid Profile of Avocado Seed Oil
The Table 6 identifies and quantifies the various free fatty acid present in the samples. Palmitic acid and Oleic acid were the most abundant. The saturated fatty acids (Palmitic and Stearic) dominate, while unsaturated fatty acids (Linoleic) were present in smaller amounts. Linolenic acid was not detected, indicating a potential limitation in the analysis or minimal presence. The extracted oil from each solvent (ethanol and n-hexane) indicates that there was similar retention and external units but significant differences in area and height. The fatty acid composition of avocado seed oil shows presence of five major fatty acids as indicated in the Table. Otaigbe et al., had earlier reported 62.69% presence of oleic fatty acid in avocado seed oil. This shows that avocado seed oil is rich in oleic acid, which means the oil might probably be a non-drying oil, as oil rich in monounsaturated oleic fatty acid are usually stable with oxidation. However, oils rich with polyunsaturated like linoleic (C18: 2) and linolenic (C18: 3) tends to be drying oil and can be used in paint binder copolymerization. Saturated palmitic acid (C16: 0) gain dominance over the remaining saturated fatty acid present in the oil, follow by stearic acid (C18: 0).
Table 6. The fatty acid composition of oil extracted using ethanol and n-hexane.

Solvent: Ethanol

Component

Retention

Area

Height

External units (ppm)

Solvent

0.466

88679.8875

5637.211

0.0000

Palmitic acid

5.066

1609.9960

88.691

188.7495

Palmitoleic acid

6.200

409.4220

31.565

40.9422

Stearic acid

6.566

1033.9615

52.701

0.0000

Oleic acid

7.800

10207.3055

774.317

0.0000

Linoleic acid

9.583

1461.690

54.628

0.0000

Solvent: N-hexane

Solvent

0.466

87811.0310

5631.974

0.0000

Palmitic acid

5.066

784.7640

73.594

85.5955

Palmitoleic acid

6.200

291.8030

29.850

29.1803

Stearic acid

6.566

821.3770

47.648

0.0000

Oleic acid

7.800

8946.4860

766.036

0.0000

Linoleic acid

9.466

780.5440

42.091

0.0000

3.3. Physicochemical Properties of Avocado Seed Oil
The physicochemical properties of the extracted oil from avocado seed are presented in Table 7. The results shows oil obtained from using ethanol as solvent was slightly darker when compared to hexane-extracted-oil, which indicates the lower polarity of ethanol. Similar odour suggest a pleasant aroma which is typical of avocado seed oil. The relatively low moisture content of 1.95% (n-hexane) and 1.17% (ethanol) obtained from the oil indicates that it is less prone to spoilage and also an evidence of an efficient extraction process. Comparing the saponification value, hexane-extracted oil (150.0114mg KOH/g) indicates a higher value of fatty acids while ethanol-extracted oil (67.32mg KOH/g) suggest a lower value of fatty acids. Musa et al. reported that oil with saponification value of 200mg KOH/g indicates a high value of fatty acids with low molecular weights. This kind of oil with low saponification values will be good for the production of soap, shampoos and shaving cream. The pH of the extracted oil of both solvents indicates the oil is slightly acidic.
Table 7. The physiochemical properties of avocado seed oil using n-hexane and ethanol.

Physiochemical Parameters

N-hexane Observation/values

Ethanol Observation/values

Colour

Light Honey brown

Honey brown

Odour

Fruity odour

Fruity odour

Moisture content

1.95%

1.17%

Iodine value

44.892mgI/g

65.736mgI/g

Saponification

150.0114mgKOH/g

67.32mgKOH/g

pH

5.07

5.04

Peroxide value

0.291 meq/kg

0.558 meq/kg

Free fatty acid value

1.1809506%

1.864302%

The peroxide value of the n-hexane extracted oil (0.291 meq/kg) and ethanol extracted oil (0.558 meq/kg) indicates low probability of oxidation of the oil which could make it not prone to spoilage and reduce the free radicals. This could be due to the addition of calcium carbonate. These value were less than that obtained from oil extracted without coadjuvant (3.07 meq/kg) . The value is lower than standard (10 meq/kg) set for edible vegetable oil by the Codex Alimentarius Commission. The free fatty acid of the ethanol extracted oil (1.86%) shows high acidity which is caused by the polarity of ethanol while that of n-hexane extracted oil (1.18%) suggest high quality oil with less acidity. The lower the free fatty acid content, the more appealing the oil . The iodine value of n-hexane extracted oil (44.892mgI/g) shows a more saturated oil while that of ethanol-extracted oil (65.736mgI/g) shows a more unsaturated oil. According to Akintunde et al., , the European standard recommended a maximum iodine value of 120g I2/100g oil for feedstock to be used for biodiesel production.
4. Conclusion
This study shows the potency of CaCO3 as coadjuvant in the avocado oil extraction using n-hexane and ethanol as solvents. Meanwhile, the CaCO3 concentration (p = 0.7979) for ethanol, (p= 0.7542) for n-hexane did not significantly increase the oil yield but improve the efficiency of the oil droplet within a short extraction time and low temperature. Based on the research design, the oil yields were 9.575% and 6.195% for ethanol and n-hexane respectively. The high saponification value had shown that the oil can be used in soap making industries, while lower iodine value showed that the oil can serve as a lubricant in industrial machine, and as a stabilizer in other industrial process. The presence of double bond opened the oil to the world of industrial chemical modification.
Author Contributions
Adeyinka Idowu Alao: Conceptualization, Data curation, Methodology, Software, Supervision, Validation, Writing – review & editing
Zainab Ayotomiwa Lawal: Formal Analysis, Investigation, Resources, Writing – original draft
Odunayo Deborah Akinwumi: Data curation, Visualization, Writing – review & editing
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Ekpa, O. D. and Isaac, I. O. (2013). Fatty acid composition of melon (Colocynthis vulgaris Shrad) seed oil and its application in synthesis and evaluation of alkyd resins. International Organization of Scientific Research Journal of Applied Chemistry, 4(4), 30 – 41.
[2] Ying, Q., Rudzińska, M., Grygier, A. and Przybylski, R. (2020). Determination of triacylglycerols by HTGC-FID as a sensitive tool for the identification of rapeseed and olive oil adulteration. Molecules, 25(17), 3881 – 3891.
[3] Gnanaprakasam A., Sivakumar V. M., Surendhar A., Thirumarimurugan M., Kannadasan T. (2013). Recent strategy of biodiesel production from waste cooking oil and process influencing parameters: a review. Energy, 7, 1 – 10.
[4] Gharby, S., Guillaume, D., Elibrahimi, M. and Charrouf, Z. (2021). Physico-chemical properties and sensory analysis of deodorized argan oil. ACS Food Science and Technology, 1(2), 275 – 281.
[5] Araújo, R. G., Rodriguez-Jasso, R. M., Ruiz, H. A., Pintado, C. N. and Aguilar, M. E. (2018). Avocado by-products: Nutritional and functional properties. Trends in Food Science and Technology, 80, 51 – 60.
[6] Wang, W., Bostic, T. R. and Gu, L. (2010). Antioxidant capacities, procyanidins and pigments in avocados of different strains and cultivars. Food Chemistry, 122(4), 1193 – 1198.
[7] López, N. J., Domínguez-Avila, J. A., Yahia, E. M., Belmonte-Herrera, B. H., Wall-Medrano, A., Montalvo-González, E., González-Aguilar, G. A. (2020). Avocado fruit and by-products as potential sources of bioactive compounds. Food Research International. 138, 109774.
[8] Fajriyati, M., Meta, M., Amran, L. and Zainal, Z. (2017. Optimization of mango seed kernel oil extraction using response surface methodology. Oilseeds & fats, Crops and Lipids, 24(5); D503; 1 – 7.
[9] Shende, D. and Sidhu, G. K. (2016). Response surface methodology to optimize enzyme-assisted aqueous extraction of maize germ oil. Journal of Food Science and Technology, 53, 3282–3295.
[10] Food and Drug Administration (FDA), Database of Select Committee on GRAS Substances Reviews. Report No. 26, CFR Section 184.1191.
[11] Akinoso, R., Aboaba, S. A. and Olajide, W. O. (2011). Optimization of roasting temperature and time during oil extraction from orange (Citrus sinensis) seeds: A response surface methodology approach. African Journal Food Agriculture Nutrition Development, 11(6), 5300 – 5317.
[12] Faiznur, M. F., Khairiah, A. K. and Mashitah, M. D. (2016). Ultrasonic-assisted extraction of oil from Calophyllum inophllum seeds: Optimization of process parameters. Physical Sciences, 27(2), 103 – 121.
[13] Yenge, G. B., Kanawade, V. L., Nimbalkar, C. A., Kenghe, R. N., Patil, A. P. and More, H. G. (2017). Optimization of Soxhlet extraction of garden cress oil by response surface methodology. Environmental Science and Chemistry, 5, 526 – 530.
[14] Humairah, R., Annisa, D., Moulana, R., Maulida, A., Supardan, M. D., Syamsuddin, Y. and Satriana, S. (2024). Optimization of avocado oil solvent extraction assisted by CaCO3 as coadjuvant using Response Surface Methodology. Institute of Physics Conference Series 2023: Earth Environmental Science 1290(1): 012013.
[15] Mgoma, S. T., Gutu, L., Basitere, M., Mshayisa, V. (2019). Effects of Different Extraction Methods and Process Conditions in the Yields of Avocado Oil. 16th South Africa International Conference on Agricultural, Chemical, Biological and Environmental Sciences (ACBES-19). Eminent Association of Pioneers (EAP), Johannesburg, 271– 275.
[16] ASTM D7678-17 (2022). Standard Test Method for Total Petroleum Hydrocarbons (TPH) in Water and Wastewater by Gas Chromatography. West Conshohocken, USA.
[17] American Oil Chemist’ Society (2017). Official method Cd 8b-90. Peroxide value, acetic acid, and oil isooctane method, 7th edition. Official Methods and Recommended Practices of the AOCS, USA.
[18] AOAC, (2000). Official Methods of Analysis, Association of Official Analytical Chemists, 17th edition, Washington DC, USA.
[19] AOCS Method cd 3-25 (1993). Official Methods of Analysis, Association of Official Analytical Chemists, Washington DC, USA.
[20] AOCS Method 981.12 (1990). Official Methods of Analysis, Association of Official Analytical Chemists, Washington DC, USA.
[21] AOAC Method 965.33 (1969) Official Methods of Analysis, Association of Official Analytical Chemists, Washington DC, USA.
[22] AOCS Method Ca 5a-40 (1997). Official Methods of Analysis, Association of official Analytical Chemists, Washington DC, USA.
[23] Squeo, G., Silletti, R., Summo, C., Paradiso, V. M., Pasqualone, A. and Caponio, F. (2016). Influence of calcium carbonate on extraction yield and quality of extra virgin oil from olive (Olea europaea L. cv. Coratina). Food Chemistry 209(1), 65 – 71.
[24] Ginting, Z.; Nurhakim, L.; Hakim, L. (2020). Production of Avocado Oil from Gayo Avocado Pulp by Extraction Method Using N-Hexane Solvent for Application in Herbal Bath Soap. Unimal Journal of Chemical Technology, 9(1), 58 – 67.
[25] Otaigbe, J., Oriji, O. and Ekerenam, G. (2016). Studies on the Paint Forming Properties of Avocado (Persea americana) and African Pear (Dacryodes edulis) Seed Oils. International Journal of Engineering Research and Application, 6(12), 8 – 15.
[26] Arukwe, U., Amadi, B. A., Duru, M. K. C., Agomuo, E. N., Adindu, E. A., Odika, P. C. and Anudike, J. (2012). Chemical composition of Persea americana leaf, fruit and seed. International Journal of Recent Research and Applied Studies, 11(2), 346 – 349.
[27] Musa, U., Aboje A. A., Mohammed, I. A., Aliyu M. A., Sadiq, M. M. and Olaibi, A. O. (2014). The Effect of Process Variables on the Transesterification of Refined Cottonseed Oil. Proceedings of the World Congress on Engineering, Vol I, (WCE 2014), July 2 - 4, 2014, London, U.K, 622 – 624.
[28] Musa, U., Isah, A. G., Garba, M. U., Zelihatu, U. and Bello, A. U. (2015). Extraction of Chrysophyllum albidum Seed Oil: Optimization and Characterization, Chemical and Process Engineering Research, 30, 1 – 9.
[29] Ikhuoria, E. U and Maliki, M. (2007). Characterization of avocado pear (Persea americana) and African pear (Dacryodes edulis) extracts, African Journal of Biotechnology, 6(7): 950 – 952.
[30] Akintunde, A. M, Ajala, S. O, Betiku, E (2015). Optimization of Bauhinia monandra seed oil extraction via artificial neural network and response surface methodology: A potential biofuel candidate. Industrial Crops and Products, 67, 3 87 – 394.
Cite This Article
  • APA Style

    Alao, A. I., Lawal, Z. A., Akinwumi, O. D. (2025). Extraction of Avocado Seed Oil with Ethanol and N-hexane Using CaCO3 as Coadjuvant: Optimization and Characterization. American Journal of Applied and Industrial Chemistry, 8(2), 41-52. https://doi.org/10.11648/j.ajaic.20250802.12

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    Alao, A. I.; Lawal, Z. A.; Akinwumi, O. D. Extraction of Avocado Seed Oil with Ethanol and N-hexane Using CaCO3 as Coadjuvant: Optimization and Characterization. Am. J. Appl. Ind. Chem. 2025, 8(2), 41-52. doi: 10.11648/j.ajaic.20250802.12

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    AMA Style

    Alao AI, Lawal ZA, Akinwumi OD. Extraction of Avocado Seed Oil with Ethanol and N-hexane Using CaCO3 as Coadjuvant: Optimization and Characterization. Am J Appl Ind Chem. 2025;8(2):41-52. doi: 10.11648/j.ajaic.20250802.12

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  • @article{10.11648/j.ajaic.20250802.12,
      author = {Adeyinka Idowu Alao and Zainab Ayotomiwa Lawal and Odunayo Deborah Akinwumi},
      title = {Extraction of Avocado Seed Oil with Ethanol and N-hexane Using CaCO3 as Coadjuvant: Optimization and Characterization
    },
      journal = {American Journal of Applied and Industrial Chemistry},
      volume = {8},
      number = {2},
      pages = {41-52},
      doi = {10.11648/j.ajaic.20250802.12},
      url = {https://doi.org/10.11648/j.ajaic.20250802.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaic.20250802.12},
      abstract = {This study aimed to assess the impacts of addition of CaCO3 as a coadjuvant in oil yield from Avocado Pear seed in a soxhlet extraction apparatus with ethanol and n-hexane as solvents. Response surface methodology (RSM) was employed to optimize parameters influencing oil yield during solvent extraction. A Box Behnken design with three factors: concentration of CaCO3 (1, 1.5, 2%), extraction time (90, 145, 180 min), and extraction temperature (25, 35, 45°C) was utilized for the optimization process. The linear model provided the most accurate fit to the experimental data with determination coefficient (R2) value of 0.8273. The optimized yield of avocado oil was 4.2343% for n-hexane and 6.8156% for ethanol. The fatty acids present in the oil were determined using gas chromatography, and oleic acid was the dominant fatty acid. The values of main physiochemical properties evaluated were: Light Honey brown, Honey brown – colour; Fruity odour, Fruity odour – odour; 150.0114mgKOH/g, 67.32mgKOH/g – saponification value; 1.1809506%, 1.864302% – free fatty acid; 44.892mgI/g, 65.736mgI/g – iodine value; 1.95%, 1.17% – Moisture content; 5.07, 5.04 – pH and 0.291 meq/kg, 0.558 meq/kg – peroxide value for n-hexane and ethanol solvents, respectively. The oil high saponification value and low iodine value makes it applicable in soap making industries, as lubricant in industrial machine and as a stabilizer in other industrial process.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Extraction of Avocado Seed Oil with Ethanol and N-hexane Using CaCO3 as Coadjuvant: Optimization and Characterization
    
    AU  - Adeyinka Idowu Alao
    AU  - Zainab Ayotomiwa Lawal
    AU  - Odunayo Deborah Akinwumi
    Y1  - 2025/09/02
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ajaic.20250802.12
    DO  - 10.11648/j.ajaic.20250802.12
    T2  - American Journal of Applied and Industrial Chemistry
    JF  - American Journal of Applied and Industrial Chemistry
    JO  - American Journal of Applied and Industrial Chemistry
    SP  - 41
    EP  - 52
    PB  - Science Publishing Group
    SN  - 2994-7294
    UR  - https://doi.org/10.11648/j.ajaic.20250802.12
    AB  - This study aimed to assess the impacts of addition of CaCO3 as a coadjuvant in oil yield from Avocado Pear seed in a soxhlet extraction apparatus with ethanol and n-hexane as solvents. Response surface methodology (RSM) was employed to optimize parameters influencing oil yield during solvent extraction. A Box Behnken design with three factors: concentration of CaCO3 (1, 1.5, 2%), extraction time (90, 145, 180 min), and extraction temperature (25, 35, 45°C) was utilized for the optimization process. The linear model provided the most accurate fit to the experimental data with determination coefficient (R2) value of 0.8273. The optimized yield of avocado oil was 4.2343% for n-hexane and 6.8156% for ethanol. The fatty acids present in the oil were determined using gas chromatography, and oleic acid was the dominant fatty acid. The values of main physiochemical properties evaluated were: Light Honey brown, Honey brown – colour; Fruity odour, Fruity odour – odour; 150.0114mgKOH/g, 67.32mgKOH/g – saponification value; 1.1809506%, 1.864302% – free fatty acid; 44.892mgI/g, 65.736mgI/g – iodine value; 1.95%, 1.17% – Moisture content; 5.07, 5.04 – pH and 0.291 meq/kg, 0.558 meq/kg – peroxide value for n-hexane and ethanol solvents, respectively. The oil high saponification value and low iodine value makes it applicable in soap making industries, as lubricant in industrial machine and as a stabilizer in other industrial process.
    
    VL  - 8
    IS  - 2
    ER  - 

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