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. 2022 Jun 9;43:108349. doi: 10.1016/j.dib.2022.108349

Dataset on FAEE synthesized from oil blends via a derived submerged fermented Theobroma cacao pod husk: Application of hybrid design optimizer

Adepoju T F a,, Ukpong A A b, Balogun T A c, Emberru E R a
PMCID: PMC9214796  PMID: 35757516

Abstract

A new base catalyst was derived from submerged fermented Theobroma cacao pod husk (TCPH) in this work, the developed catalyst was tested for the production of fatty acid ethyl ester (FAEE) using the blends of beef tallow (BTO) - waste use oil (WUO) in the ratios of 10:90 (BTO10), 20:80 (BTO20), 30:70 (BTO30)….., 90:10 (BTO90), respectively. To determine the optimum FAEE yield with variable effects (reaction time, catalyst amount, reaction temperature, and EtOH/OMR), a hybrid design from response surface was adopted with coefficient of determination (R2) and Adjusted coefficient of determination (R2-adj.). Furthermore, the catalytic efficiency was tested by catalyst recycle, refining, and reusability test.

Data revealed the oil blend ratio of BTO60:WUO40 was adequate to produced low viscous FAEE. Catalysts' analysis and characterization revealed the catalyst produced high CaO-base of 87.65 (%wt.), which accounted for the high yield of FAEE. Mathematical optimization via hybrid design showed that the catalyst amount with high F-value = 3063.24 and P-value = 0.0115, played the most significant role in the conversion of blended oil to FAEE among the variable factors considered. Furthermore, based on Box-Cox transformation, the lambda indicated a normal data in normal function of Y3 for polynomial model accuracy. Optimum validated FAEE yields of 99.64 (%wt.) with high coefficient of determination (R2) was established. The qualities of the FAEE were within the standard specification for biodiesel, and the produced catalysts can serve as feedstocks for industrial application.

Keywords: Blends, Fatty acid ehthyl ester, Catalyst, Transformation, Mathematical optimization, Hybrid design, Theobroma cacao pod husk

Specifications Table

Subject Energy
Specific subject area Renewable and Sustainable Energy
Type of data Table, Figure
How data were acquired The blend of oil was obtained via ratio blending 10:90 (BTO10), 20:80 (BTO20), 30:70 (BTO30)….., 90:10 (BTO90), respectively. Developed catalyst was synthesized from calcined Theobroma cacao pod husk. Catalyst analysis and characterization were carried out using SEM, FTIR, XRD, and BET analysis. The design of experiment, effects of variables, determination of coefficient of determination and process variable optimization to evaluate the optimum FAEE was obtained using hybrid design. Analysis of variance (ANOVA) was used to confirmed variable significant. Quality of FAEE was determined through AOAC (1997) [1] standard methods.
The efficiency of the catalyst was carried out through refining, purification and reusability test. The quality of FAEE was ascertained by comparing with biodiesel recommended standard [2], [3].
Data format Raw, Analysed
Description of data collection WUVO was made clean by heating and filtration. Beef tallow was made into pure beef tallow oil. Cocoa husk was calcined. Oil blend was carried the ratio in the ratio of 10:90, 20:80…..90:10 [5]. The synthesis of FAEE was via transesterification method [4]. Catalyst basic strength was tested by reusability test. The qualities of FFA meet biodiesel standard [2], [3]. All raw data are within the article.
Data source location Chemical Engineering Department Federal University Otuoke, Bayelsa State, Nigeria, P.M.B 126, Yenagoa, Nigeria.
Data accessibility With the article

Value of the Data

  • Data on mixed ratio serve as a guide for synergy required to blend oil for industrial processes.

  • Dataset acquired from the derived bio-base from calcined fermented Theobroma cacao pod husk be used catalytic material in petroleum industries for biofuel conversion.

  • Dataset on biodiesel can help to model and optimized the process variable for optimum FAEE yield and the interactions among the variables.

  • Dataset obtained from the use of Theobroma cacao pod husk shows that fermentation increase the percentage of bio-base derived from the husk.

  • Dataset on quality characterization of FAEE shows that the produced FAEE can serve as replacement for conventional diesel.

1. Data Description

This article produce dataset on different mixed ratio of waste oil with fat oil carried out at the interval of ten step increment (Table 1). The table also produced data on the physicochemical properties of the oil so as to determine the mixed oil with less viscosity, low acid value and moderate density. Table 2 produced data on experimental design with different variables level and factor as generated by hybrid design (expert 6.0.8 trial version). Four factors-five level was considered and these generate 16 experimental runs data with FAEE as response variable data. Table 3a show the dataset on the experimental and predicted yield generated by the design expert used for process optimization for test of significant, while Table 3b reflect the dataset on the analysis of variance (ANOVA) for every variable test of significant with p value< 0.005. Datasets on coefficient of determination (R-Squared), adjusted coefficient of determination (Adj. R-Squared), predicted coefficient of determination (Pred. R-Squared), and the adequate precision (Adeq. Precision) used for variable interactions an how mutaual the interaction of one is superir to the others are also presented in the table. Meanwhile, the second-order mathematical differential equation that correlated the response variable (FAEE3) data with the constraint variables (X1: reaction time, X2: catalyst amount, X3: reaction temperature, and X4: EtOH/OMR) are presented in Eqn. (1).

Table 1.

Data of physicochemical properties of the oil blend.

Blends
Physicochemical Properties
Ratio (BTO: WUVO) MC (%) SG V @ 40 °C (mm2/s) AV (mgKOH/g oil) SV (mg KOH/g oil) IV (meq O2/kg oil) API g
BTO10 0.020 0.914 25.80 0.332 192 60.18 23.31
BTO20 0.020 0.912 24.90 0.303 189 60.03 23.65
BTO30 0.020 0.910 24.60 0.296 185 59.86 23.99
BTO40 0.020 0.905 23.50 0.283 186 59.80 24.85
BTO50 0.020 0.904 23.10 0.262 185 59.56 25.03
BTO60 0.020 0.890 22.30 0.249 180 58.88 27.49
BTO70 0.020 0.902 22.52 0.252 186 58.60 25.37
BTO80 0.020 0.911 22.86 0.272 188 59.94 23.82
BTO90 0.020 0.913 22.94 0.276 191 59.70 23.48

M = Moisture content, SG = Specific gravity, V = Viscosity, AV = Acid value, IV = Iodine value, PV = Peroxide value, SV = Saponification value, API g = API gravity.

Table 2.

Five level- four variable- factors experimental for FAEE.

Levels
Variables Units Symbol -2 -1 0 1 2
Reaction time (min) X1 60 65 70 75 80
Catalyst amount (wt.%) X2 1.5 2.0 2.5 3.0 3.5
Reaction temp. (°C) X3 60 65 70 75 80
EtOH/OMR (ml/ml) X4 4 5 6 7 8

Table 3a.

Experimental data and the predicted value.

SN X1 X2 X3 X4 FAEE3 PFAEE3
1 0.000 0.000 0.000 1.732 92.30 92.30
2 0.000 0.000 0.000 -0.269 93.80 93.80
3 -1.000 -1.000 -1.000 0.604 90.50 90.46
4 1.000 -1.000 -1.000 0.604 93.00 93.04
5 -1.000 1.000 -1.000 0.604 91.60 91.64
6 1.000 1.000 -1.000 0.604 91.70 91.66
7 -1.000 -1.000 1.000 0.604 90.90 90.94
8 1.000 -1.000 1.000 0.604 96.24 96.20
9 -1.000 1.000 1.000 0.604 97.20 97.16
10 1.000 1.000 1.000 0.604 99.80 99.84
11 1.518 0.000 0.000 -1.050 99.40 99.40
12 -1.518 0.000 0.000 -1.050 93.00 93.00
13 0.000 1.518 0.000 -1.050 96.00 96.00
14 0.000 -1.518 0.000 -1.050 86.80 86.80
15 0.000 0.000 1.518 -1.050 97.90 97.90
16 0.000 0.000 -1.518 -1.050 85.00 85.00

Table 3b.

Anova and test of significant table.

Source Sum of Squares df Mean Square F -Value Prob > F
Model 263.03 14 18.79 1300.18 0.0217
X1 32.54 1 32.54 2251.71 0.0134
X2 44.26 1 44.26 3063.24 0.0115
X3 108.11 1 108.11 7481.75 0.0074
X4 0.56 1 0.56 38.91 0.1012
X12 12.09 1 12.09 836.54 0.0220
X22 2.80 1 2.80 193.46 0.0457
X32 2.62 1 2.62 181.25 0.0472
X42 2.20 1 2.20 152.05 0.0515
X1X2 3.30 1 3.30 228.54 0.0420
X1X3 3.56 1 3.56 246.67 0.0405
X1X4 1.83 1 1.83 126.57 0.0564
X2X3 12.65 1 12.65 875.46 0.0215
X2X4 9.72 1 9.72 672.64 0.0245
X3X4 12.68 1 12.68 877.26 0.0215
Residual 0.014 1 0.014 - -
Cor Total 263.04 15 - - -

Fit Statistics

Std. Dev. 0.12 R-Squared 99.98%
Mean 93.45 Adj R-Squared 99.92%
C.V. 0.0056 Pred R-Squared 99.97%
PRESS 0.0043 Adeq Precision 127.523

The graphical interactions between the responses (FAEE3) data and the linear constraint interactions (X1X2, X1X3, X1X4, X2X3, X2X4, and X3X4) dataset known as three-dimensional contour plots are presented in Fig. 1(a-f). Data on morphological characteristic analysis of derived bio base catalyst used for FAEE synthesis via SEM are presented in Fig. 2(a), while the data functional groups that verify the presence of absorption bands spectrum of base catalyst via FTIR analysis are presented in Fig. 2b. Dataset on Table 4 shows the BET analysis data on the surface, porous volume, basicity and the percentage composition of base present in the derived catalyst obtained via nitrogen adsorption-CO2 TPD. Data plot on catalyst recycle, refining, reusability test are plotted and displayed in Fig 3, which showed the strength of catalyst renewability. Table 5 however described the dataset obtained from oil mixed properties, FAEE qualities as compared with recommended biodiesel standard (ASTM D6751 and EN 14214). Based on dataset on comparative study of this work with other research earlier reported data, Table 6 indicate vividly the superiority of datasets obtained in this study as compare with other reports.

FAEE3(%wt.)=+93.90+1.61X1+1.87X2+2.93X30.21X40.64X1X2+0.67X1X30.48X1X4+1.26X2X31.10X2X41.26X3X4+1.41X120.68X220.65X320.66X42 (1)

Fig. 1.

Fig 1

(a-f): Three dimensional plots.

Fig. 2.

Fig 2

a: SEM images of calcined catalyst. b: FTIR spectral analysis of the catalyst.

Table 4.

BET and XRD analysis of the catalyst.

Catalysts β (m2/g) λ (cm3/g) CaO (%) BS (μmole.g−1) 400<BS<650 >650 TBS BSD (μmole/m2) FAEE (%wt.) CA (wt.%)
SFCTCPH 1.10 0.0030 87.65 22 174 196 178.18 98.20 2.50

β = Surface area, λ = Pore volume, BS = Basic site, TBS = Total basic site, BSD = Basic site density, GD = Green diesel, CA = Catalyst amount.

Fig. 3.

Fig 3:

Plots of data of catalysts reusability test.

Table 5.

Qualities of the produced FAEE.

Parameter BTO60 FAEE3 [2] [3]
Colour@ 27 oC Brownish-yellow Light yellowish - -
State @ room temp Liquid Liquid Liquid Liquid
Specific gravity 0.902 0.864 - 860-900
Viscosity @ 40 oC/ (mm2/s) 22.30 2.78 1.9-6.0 3.5-5.0
Moisture content (%) 0.02 <0.01 <0.03 0.02
%FFA (as oleic acid) 0.1745 0.018 0.40 max 0.25 max
Acid value (mg KOH/g oil) 0.249 0.036 0.80 max 0.50 max
Iodine value (g I2/100g oil) 58.88 53.62 ND 120 max
Saponification value (mg KOH/g oil) 180.00 172.22 236.66-253.04 ND
Peroxide value (meq O2/kg oil) 12.65 8.60 ND 12.85
HHV (MJ/kg) 41.17 41.52 ND ND
Cetane number 63.39 65.92 57 min 51 min
API gravity 22.30 32.27 30-42 ND
Diesel index 49.50 52.04 50.4 min ND

ND = Not Determine.

Table 6.

Comparing this study with reported literature data.

Blended Oil Blending ratio (vol/vol) Catalysts Calcination temperature and duration % CaO/KOH conversion Catalyst analysis % Biodiesel yield References
Waste cooking oil - Ripe and unripe Plantain peels 500°C for
4 h
KOH = 47.67% XRD, SEM, BET, and FTIR 97.96 [6]
Jatropha curcus+Heavea brasiliness+ Elais guineensis oils 33:33:34 Chiken foot, Cat fish bones, and mixed 1000 oC for
3 h
CaO = 99.84% SEM, EDX-ray, FTIR and BET 97.25 [7]
Calophyllum inophyllum-waste
cooking oil
50:50 Donax deltoids shells 105°C for
24 h
CaO = 70.87% XRD, SEM, BET, and FTIR 96.50 [8]
Waste cooking oil (WCO) - Ca(NO3).4H2O 900°C for
3 h
CaO=99.92% XRD, SEM, BET, and FTIR 99.19% [9]
Waste + pure vegetable oil - Banana peel
700 oC for
4 h
KOH 94 to 97% [10]
Beef Tallow blend + Waste used vegetable oil 60:40 Theobroma cacao pod husks CaO XRD, SEM, BET, and FTIR THIS STUDY
Submerged fermented calcined 750 oC for
4 h
87.65% 99.64%

2. Experimental Design, Materials and Methods

For oil mix ratio, a blend ratio of step length of ten was adopted 10:90; 20:80; 30:70 …….90:10 of waste used oil to beef tallow oil was used to obtain a low viscous oil, low acid value and low density required for FAEE synthesis. For the experimental design, a hybrid design under response surface methodology (expert 6.0.8 trial version) was employed to design the experiment with consideration of four factors namely; reaction time, catalyst amount, reaction temperature and ethanol to oil molar ratio, respectively, was used to study the effects of variables on the response (FAEE) in a single batch reaction.

Materials used in this work are Ethanol, Methanol, Hydrochloric acid, Sulphuric acid, Sodium thiosulphate, Sodium hydroxide, Starch solution, Wij's solution, and phenolphthalein etc., obtained from ChemiSciences Nig. Ltd.  Further material also include waste used oil (WUVO), beef tallow oil (BTO), and Cocoa pod husk (Theobroma cacao pod husk).

Equipment adopted are three necked batch reactor for transesterification of oil to FAEE, scanning electron microscopy (SEM) to study the high spatial resolution (surface morphology) of the catalyst, XRD fortified thru Kά and Cu radiation source, enhanced at 20 mA and 40 kV, to institute the angular scanning electron implemented in the range of 10o <2θ <80o at speed of 2.5 oC min−1 and to confirm the elemental composition of the sample and the quantitative structure of the sample. FTIR was used to check the presence of functional group and validate the presence of characteristic absorption bands of major elements present within the crystals powder structures. BET isothermal adsorption and Hammett indicator was used to establish the pore volume, the surface area, the basic density site, and the total basic density.

The method used for oil blend/mix BTO:WUVO in volumetric ratios as; 10:90 (BTO10), 20:80 (BTO20), 30:70 (BTO30), 40:60 (BTO40), 50:50 (BTO50), 60:40 (BTO60), 70:30 (BTO70), 80:20 (BTO80), and 90:10 (BTO90), respectively, to obtain low viscous oil, low acid value and accurate density required for transesterification of oil to biodiesel. The mixed oil in different ratios was properly was heated at 35 oC on a hot plate for proper mixing owing to the uncertainty in the nature of fat. The viscosity, the acid value, and the specific gravity of the resulting mixed oil were examined.

Cocoa pod husk obtained from Cocoa processing factory in Ondo State, Nigeria. The pod husk was cleaned by washing with ionized water, and was decanted, kept overnight to allow proper draining. The drained-cleaned Cocoa pod was fermented in distilled water anaerobically (submerged) for 10 days. After which the fermented sample was separated from fermented water by decantation, dried in an oven at 120 oC until a constant weight was achieved (bone dried). The dried fermented sample was milled and sieved into powder of 0.30 mm particle size before calcined at 750 oC for 4 h in a furnace. The calcined sample (SFCTCPH) after calcination was left in the furnace for 24 h for proper cooling, and then placed in cleaned container for further analysis.

Production of biodiesel was carried out through the use of derived heterogeneous based CaO-catalyst synthesized from samples. The reaction process took placed in a 1000 ml reactor with three-necked, 200 ml of the oil mixed was first heated at 100 oC for 60 min using a hot plate equipped with a magnetic stirrer. 2.5 (wt.%) of CaO catalyst was measured in a 250 ml dried-cleaned flask, and 50 ml of ethanol was measured and added to the ethanol flask to achieved EtOH/OMR of 1:4. The mix was placed on a shaker for 15 min, and then added to the heated oil in the reactor. The resulting mixed indicated two separated layers which contained the ethanol-catalyst layer and the oil layer. The reaction was carried out at 70 oC for 65 min to reach completion.

At the end of reaction process, the non-soluble catalyst was removed by decanting, and the resultant product (ethanol-based-diesel) was distinguished through density separation. The biodiesel (fatty acid ethyl ester: FAEE) along with leached catalyst was separated by washing with warm mixture of 1.0 g sodium carbonate and 20 ml methanol. The washed mixed was separated by filtration, and the filtrate-diesel was washed with ionized water, and separated via gravity settling. The water wet-diesel was dried over anhydrous sodium sulphate (Na2SO4), and was separated by liquid–solid separation (decantation) to obtain the pure FAEE as liquid. The solid residual catalyst purified and reused. The step by step reaction process was conducted based on number of experimental runs generated by design expert.

The experimental data were used for the process optimization analysis of the FAEE production. The response variable was the FAEE yield, the input variables were the factors at five levels evaluated by mean of fit summary. The model was second-order, and the effects of variable significant and preferred terms were appraised by model effects. The ANOVA analysis (Analysis of Variance) was adapted to elucidate the data while diagnostic was used to estimate the fit of the model, and model transformation, the graphical plots were used to interpret and evaluates the model. The p-value called the probability value, the f-value called the factor value, the df known as degree of freedom, and the VIF called the variance inflation factor, were used for model significance. The regression parameters such as the coefficient of determination: R2, the predicted coefficient of determination:Rpred.2, the adjusted coefficient of determination: Radj.2,and the adequate precision: Adeq. Prec., respectively, were used to check the model aptness.

Three-dimensional plots was used as a geometric setting to express the relationship between three variables while the second-order differential equation that further elucidates the connection between FAEE yield and the four factors is expressed arithmetically in Eq. (2).

FAEE(%wt.)=φ0+i=1kφiXi+i=1kφiiXi2+i<jkφijXiXj+R (2)

Where FAEE is the yield in percentage, φ0 is the cut off, φi is the coefficient of linear variables, φii is the coefficient of interactive variables, φij is the coefficient of quadratic terms, Xi,Xj are the variables and R is the differential error.

The recovered catalyst was examined for its effectiveness by carried out the reusability tests. Catalyst purification of the recovered catalyst was carried out by the method used [11] with few modifications: the recovered catalyst was washed with an alcohol to eliminate the contaminant adhere at the catalyst interface as a data of transesterification processes. The catalyst purified with alcohol was centrifuged at 3500 rpm using an inbuilt heating vacuum centrifuge, and separated by decantation. The wet catalyst was dried in oven at 80 oC for 60 min so as to make free of the alcohol before cooled temperature of 27 oC and then reused.

Properties of the FAEE such as density, viscosity, moisture content, mean molecular mass, acid, saponification, iodine, peroxide, higher heating value, cetane number, API gravity, and diesel index were determined so as to determine its aptness as a substitute for conventional fuel used in diesel engine. These qualities were compared with [2] and [3] recommended standard.

The properties of mix oil ratio are displayed in Table 1, while Table 2 is the experimental design of four variables five level experimental design by response surface methodology. Table 3a displayed the experimental yield and the predicted value by the hybrid design. Table 3b reflected the test of significance by ANOVA, the probability values and the coefficient of determinations. Fig 1, displayed the three-dimensional contour of response on the variable factors (X1, X2, X3 and X4). The image of the SEM image and FTIR analysis of the calcined cocoa husk powder are displayed in Fig. 2(a-b). Table 4 showed the data of XRD and the BET analysis indicating the surface area, porous volume, basicity, and percentage compositions of the calcined catalyst. Reusability catalytic test strength data are displayed in Fig.4. Table 5 indicated the qualities of FAEE produced as compared with recommended biodiesel standard, while Table 6 compared the data of this study with the earlier reported work.

Ethics Statement

This work does not involve the use animal or human subject.

CRediT Author Statement

Adepoju T.F.: Conceptualization, Methodology, Software, Validation, Formal Analysis; Ukpong A.A.: Investigation, Resources, Data Curation, Writing – original draft, Supervision; Balogun T.A.: Validation, Formal Analysis, Investigation, Resources, Data curation; Emberru E.R.: Formal Analysis, Investigation, Resources, Data Curation, Provide Financial Support, Methodology, Software.

Declaration of Competing Interest

The authors declare that they have no competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

Financial institution. This research work receives no financial support from either Institution or government organization.

Acknowledgments

Authors appreciate the efforts of Technical staff of Chemical and Petroleum Engineering Department, Federal University Otuoke, Yenegoa, Bayelsa State, Nigeria for the assistance provided during the laboratory research work.

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2022.108349.

Appendix. Supplementary materials

mmc1.zip (2.5KB, zip)

Data Availability

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Supplementary Materials

mmc1.zip (2.5KB, zip)

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