Valorization of Griffonia simplicifolia Seed Oil for Biodiesel Production: A Sustainable Alternative

Abstract

Bio-derived oxygenated hydrocarbons, such as mixtures of fatty acid methyl esters (biodiesel), are promising alternatives for alleviating the adverse effects of fossil fuel consumption on climate change and preventing petroleum resource depletion. However, the selection of a viable feedstock for competitive biodiesel production remains challenging. Recent studies focusing on Griffonia simplicifolia seeds, the sole plant industrially exploited for 5-hydroxy- tryptophan (5-HTP) extraction, have shown that G. simplicifolia seed oil (GSO) can be solvent-extracted directly from ground seeds or the remaining seed cakes obtained after 5-HTP extraction with quantitative yields. This work documents the conversion of GSO into biodiesel through homogeneous base-catalyzed transesterification. The refractive index and density of the obtained methyl ester mixtures decreased with increasing oil-to-methanol molar ratio, reaction temperature, and time. Under specific conditions, 1.43 wt% FFA oil, 63.5C, 60 min, and 1:9 oil/MeOH molar ratio with 1.2 wt% NaOH or 1.3 wt% KOH as catalysts, optimal reaction conditions were reached. There were no significant differences in the potential for diminution of the refractive index and density between the NaOH and KOH catalysts. The predicted fuel properties based on the fatty acid composition determined by GC-MS showed that G. simplicifolia biodiesel exhibited a cetane index of 50.29, volumetric energy density of 34.97 MJ/L, cloud point of -1.03°C, kinematic viscosity of 4.07 mm2/s, and oxidative stability of 0.65 h. Apart from its unfavorable oxidative stability and slightly lower energy density compared to petrodiesel, all other calculated parameters met the current standards. The valorization concept proposed in this study should be integrated into the 5-HTP extraction process, preferably using the remaining dry seed cakes as raw materials to maximize revenue in a bioeconomic and sustainable approach.

Share and Cite:

Novidzro, K. , Kolor, K. , Megnassan, S. and Koumaglo, K. (2023) Valorization of Griffonia simplicifolia Seed Oil for Biodiesel Production: A Sustainable Alternative. Engineering, 15, 759-781. doi: 10.4236/eng.2023.1511053.

1. Introduction

The exacerbation of the consequences of climate change caused by anthropogenic greenhouse gas emissions is noticeable worldwide [1] . Among other factors, emissions from fossil fuel combustion [2] , land-use changes, and forestry contribute to the amplification of positive radiative forcing. Simultaneously, concerns about unsteadiness in oil markets due to economic-geopolitical factors [3] and fossil resource depletion [4] are mounting. The previous scenarios spurred global interests in biofuels production processes such as the conversion of vegetable oils into fatty acids methyl esters mixtures, referred to as biodiesel, as sustainable alternative to petrodiesel [5] .

However, non-cautious selection of proper feedstock for biodiesel production could disrupt agri-food chains and exacerbate land-use change.

Therefore, the valorization of by-products from plant origin within a circular economy approach represents a sustainable pathway capable of adding value to any production chain. The actual conceptual work focuses on the valorization of Griffonia simplicifolia seed oil into biodiesel.

Being the highest-concentrated natural resource in L-5-hydroxytryptophan (L-5-HTP), with contents up to 20% w/w [6] , G. simplicifolia seeds are among the most valuable medicinal plants in West Africa as reported by the Ghana Investment Promotion Centre [7] . Thus, G. simplicifolia seeds are the most prolific and economically viable industrial source of 5-HTP [8] , a molecule whose global market share was estimated at USD 51.6 million back to 2021 and projected to USD 101.0 million in 2030, with a compound annual growth rate of 7.82% [9] . 5-HTP is the precursor amino acid of serotonin, with applications ranging from cosmetics [8] [10] to nutraceutics used as eco-compatible substitutes for synthetic neuroleptics such as Prozac, Paxil, Effexor, Luvox, and Zoloft [6] .

Recent studies have highlighted that G. simplicifolia seeds contain oil up to ca. 31% which can be solvent-extracted with 92% of the theoretical yield [11] and pointed out that the remaining oil cakes still contains 5-HTP [12] . Furthermore, same researchers observed that the extraction of the oil and 5-HTP from the seeds was interchangeable. However, to the best of our knowledge there is no evidence in the literature regarding downstream valorization of the oil after 5-HTP extraction from the seeds. Therefore, to maximize the profitability of stakeholders in the trade and transformation of G. simplicifolia seeds into 5-HTP and its derivatives, it is essential to valorize the oleaginous potential of the cakes to add value to this industry.

This study aimed to determine the optimal conditions for methanol-induced homogeneous alkali-catalyzed transesterification of Griffonia simplicifolia seeds and predict some key fuel properties of the obtained biodiesel. The overarching goal is to contribute to the fight against climate change and add value to the export industry of G. simplicifolia seeds from West Africa to China, India, and other Western countries.

2. Material and Methods

2.1. Raw Materials

G. simplicifolia seeds served as plant materials for GSO extraction. The climbing shrub has orbicular and glabrous-shaped seeds in kidney-shaped pods (Figure 1(a)). At maturity, the pods split open, allowing for the collection of mature seeds from the floor. The seeds (Figure 1(b)) were harvested near the botanical garden of the Faculty of Sciences at the University of Lomé from December 2019 to March 2020. Afterward, the seeds were sun-dried, dehulled (Figure 1(c)), and grounded (grain diameter ≤ 2 mm).

In addition, crude palm kernel oil (PKO) served as a secondary raw material to compensate for the insufficient amount of G. simplicifolia seed oil that we extracted. The choice of PKO supplied by a cooperative was motivated by its abundance and affordability in the local markets in Togo. The optimal temperature and reaction time obtained during the transesterification of PKO were assumed to be identical for GSO conversion.

2.2. Extraction of Griffonia Simplicifolia Seeds Oil

The Soxhlet extraction of G. simplicifolia seed oil with hexane was performed four times using mo = 250 g of seeds powder at each run. After 6 h, the solvent was evaporated using a Büchi rotary evaporator with the heating bath B-100 set at 40˚C. Some residual hexane was definitively removed from the recovered oil fraction through oven-drying at 80˚C for 2 h. The resulting oil was stored at −40˚C for further use. The oil extraction yield, denoted as Y (%), was calculated using Formula (1).

Y ( % ) = mass ( flask + oil ) mass ( flask ) massofseedspowder × 100 (1)

Figure 1. Griffonia simplicifolia seeds ((a) = in non-mature pods; (b) = mature seeds with pericarps; (c) = dehulled mature seeds).

2.3. Preprocessing of Palm Kernel Oil

In the first step, the palm kernel oil (PKO) was settled down to decant, and the supernatant was removed and dehydrated using anhydrous Na2SO4. Subsequently, the resulting product was oven-dried at 105˚C ± 2˚C for 2 h before being hot-filtered. The recovered PKO was considered ready to transesterify and was stored at −40˚C for further use.

2.4. Physicochemical Parameters and Fatty Acids Profile

2.4.1. Specific Gravity (SV), Acid Value (AV), Iodine Value (IV)

The specific gravity SG (15˚C) was calculated using a correlation by Lund (Formula (2)) [13] . The refractive index ( n D 20 ) was determined using a binocular ABBE refractometer as reported by Kpoezoun et al. (2022) [14] . The acid value (AV) and free fatty acids content (%FFA), the saponification value (SV) (Formula (3)), and the iodine value (IV) (Formula (4)) were obtained experimentally using the conventional volumetric titration methods described by Kpoezoun et al. (2022) [14] and Gadegbe et al. (2019) [15] . Additionally, the fatty acid profile of GSO was determined using gas chromatography coupled with mass spectrometry (GC-MS) technique as described by Kpoezoun et al. (2022) [14] . Knowledge of fatty acids concentration in GSO allowed the calculation of the molecular weight (MGSO) (Formula (5)) based on the formulae proposed by Halvorsen et al. (1993) [13] . The average molecular weight ( M ¯ PKO ) of PKO was calculated by correlating with the saponification value using Formula (7) suggested by Singhal and Kulkarni (1990) [16] and the molecular weight MPKO was calculated using Formula (5). The ester percent (EP) was calculated using Formula (8) suggested by Canesin et al. (2014) [17] . Subsequently, the degree of unsaturation (DU), as defined by Ramos et al. (2009) [18] , and was calculated using Formula (9). Finally, the calorific value was calculated using the correlation proposed by Demirbaş (1998) [19] (Formula (10)).

SG ( 15 ˚ C ) = 0.8475 + 0.00030 SV + 0.00014 IV (2)

Given:

SV = 56.104 × 3 × 100 M GSO (3)

IV = 100 × 126.9045 × 2 × 3 × DU M GSO (4)

2.4.2. Molecular Weight of GSO

M GSO = 3 × M ¯ GSO + 38.049 (5)

Given:

M ¯ GSO = ω F A i ω F A i M F A i (6)

with M ¯ GSO , MGSO, M ¯ F A i and ωFAi: average molecular weight of fatty acids, molecular weight of GSO triglycerides, molecular weight and mass fraction of fatty acid i, respectively.

2.4.3. Average Molecular Weight of PKO Fatty Acids

M ¯ PKO = 56000 IV 12.67 (7)

EsterPercent ( % ) = IV IA IV × 100 (8)

DU ( % ) = % MUFA + 2 % PUFA (9)

PCS ( MJ / kg ) = 49.43 0.041 SV 0.015 IV (10)

2.5. Transesterification Methodology

The triglycerides in PKO and GSO were reacted with methanol under base-cat- alyzed conditions using NaOH or KOH. The reaction vessel temperature was regulated using a TERMAKS/Model B 2324 V incubator system (Tmax = 64˚C), and permanent mixing was achieved using a magnetic stirrer (VWR model 320) with a rotation speed set at 300 rpm. A thermometer was used to ensure the proper temperature of the pre-heated oil before adding the catalytic mixture (MeOH + NaOH or KOH).

2.5.1. Catalyst Amount

The mass of catalysts (NaOH or KOH) was calculated using Formula (11) and Formula (12) suggested by Van Gerpen et al. (2004) [20] .

m NaOH = ( [ % FFA ] × 0.144 + 1 % ) × m o i l (11)

m KOH = ( [ % FFA ] × 0.197 / 0.85 + 1 % ) × m o i l (12)

with:

moil: mass of oil sample (PKO or GSO)

0.85: purity of KOH

Formula (11) and Formula (12) took into account the purity of the catalysts used, considering the total amount of catalyst as equal to the amount of alkali required to neutralize the free fatty acids plus 1% of alkali for effective catalysis of the reaction.

2.5.2. Volume of Methanol

The volume of methanol (VMeOH) required for dissolving the catalyst was calculated using Formula (13).

V MeOH = 32.04 × n MeOH × m o i l Molecularweightofoil × ρ MeOH (13)

with:

32.04 g/mol: molecular weight of methanol

nMeOH: number of moles of methanol (see ratio)

ρMeOH: density of methanol

2.6. Post-Processing: Washing and Purification

After the reaction, the resulting mixture was transferred to a separating funnel. After 60 minutes, two immiscible phases were formed in the separating funnel. Then, the lower phase, mainly composed of glycerol, excess catalyst, altered pigments, etc. was separated from the FAME phase. Subsequently, the FAME phase was washed in multiple runs with near-boiling distilled water (water volume = 1/3 volume of the FAME phase). A colorless washing effluent upon adding phenolphthalein indicated a catalyst-free FAME mixture. The purification step of the previous FAME mixture involved residual methanol and free water removal by evaporating at 103 ± 2˚C for 20 minutes, dehydration with Na2SO4, and hot-filtration.

2.7. Optimization of PKO Transesterification Reaction

The one-factor-at-a-time method was adopted for optimizing the PKO-to-me- thanol (PKO/MeOH) molar ratio, the reaction time, and the reaction temperature. The experimental conditions are presented in Tables 1-3, respectively.

2.8. Optimization of GSO Transesterification Reaction

The optimal GSO-to-MeOH molar ratio and the influence of the catalyst type (NaOH or KOH) were investigated. The tested molar ratios were 1:6, 1:9, and 1:12. For each run, the mass of GSO used was 20 g; the required weights of NaOH

Table 1. Optimization of PKO-to-MeOH molar ratio.

Constants: mass of PKO = 20 g; temperature T = 60˚C, reaction time t = 100 min and catalyst amount = 1.95% NaOH (w/w).

Table 2. Optimization of the reaction time.

Constants: Mass of PKO = 20 g; PKO/MeOH molar ratio = 1:12; Temperature T = 60˚C and catalyst amount = 1.95% NaOH (w/w).

Table 3. Optimizing the reaction temperature.

Constants: Mass of PKO = 20 g, PKO/MeOH molar ratio = 1:12; reaction time t = 60 min; catalyst amount = 1.95% NaOH (w/w).

or KOH catalysts were calculated using Formula (11) and Formula (12), respectively. The reaction temperature and time were identical to their optimal values determined for PKO, therefore set at T = 63.5˚C and t = 60 min, respectively.

2.9. Qualitative Monitoring of FAME Yield

The qualitative monitoring of FAME formation has been performed by measuring changes in density and refractive index as a function of the kinetic parameters mentioned earlier, in reference to previous works by Froehner et al. (2007) [21] and De Filippis et al. (1995) [22] .

2.10. Fuel Properties Prediction for GSO

Assuming that each triglyceride was converted into methylesters, some fuel properties of G. simplicifolia biodiesel, namely: the cetane number (CN), the kinematic viscosity (ν), the higher heating value (HHV), the volumetric energy density, the oxidative stability (OSI), and the cloud point (CP) were predicted exploiting GSO fatty acids composition and using identical mathematical models as those suggested by Talebi et al. (2014) [23] in their online graphical user interface BiodieselAnalyzer 2.2.

2.10.1. Cetane Number

The cetane number (CN) of a fuel is the volumetric percentage of n-hexadecane in a model blend of n-hexadecane and 1-methylnaphthalene that exhibits the same ignition delay as the sample tested [24] . CN was calculated using Formula (14) suggested by Ramírez-Verduzco et al. (2012) [25] .

CN = 7.8 + 0.302 M F E i 20 N F E i (14)

Given:

MFEi: molecular weight of the ith methylester

NFEi: number of C=C bonds in the ith methylester

2.10.2. Kinematic Viscosity

The kinematic viscosity (ν) of a fluid is a measurement of its resistance to flow under a shear stress. In this study, ν was theoretically calculated using Formula (15) as proposed by Ramírez-Verduzco et al. (2012) [25] .

ln ( ν ) = ω F E i ln ( 12.503 + 2.496 × ln ( M F E i ) 0.178 × N F E i ) (15)

with:

ωFEi : mass fraction of the ith methylester

MFEi : molecular weight of the ith methylester

NFEi: number of C=C bonds in the ith methylester

2.10.3. Higher Heating Value and Energy Density

The higher heating value (HHV) of G. simplicifolia biodiesel was estimated theoretically based on the number of double bonds C=C and the molecular weight of each methylester using the Formula (16) suggested by Ramírez-Verduzco et al. (2012) [25] , while the volumetric energy density (ED) was calculated by taking the product of HHV and the density (Formula (17)).

HHV ( MJ kg ) = ω F E i ( 46.19 1794 M F E i 0.21 N F E i ) (16)

ED ( MJ L ) = HHV × ω F E i ( 0.8463 + 4.9 M F E i + 0.0118 N F E i ) (17)

2.10.4. Oxidative Stability

The oxidative stability index (OSI) is the measurement of the induction period of a fuel sample. It has been demonstrated that allylic and bis-allylic positions in the mono and poly unsaturated fatty acids present in oils and resulting biodiesels are the preferred positions for the initiation and propagation of oxidation [26] . The calculation of OSI was performed based on the correlation of Knothe & Dunn (2003) [27] (Formula (18)).

OSI ( h ) = 3.91 0.045 BAP (18)

with BAPE = C 18 : 2 + 2 × C 18 : 3

Cx:y: Percentage of the unsaturated fatty acids Cx:y, BAPE: Bis-Allylic Position Equivalent.

2.10.5. Cloud Point

The cloud point (CP) represents the lowest temperature of the biodiesel at which the first “crystals” formed upon cooling become visible to the naked eye (diameter ≥ 0.5 μm). CP was assumed to be a linear function of the quantity of palmitic acid and calculated using Formula (19) suggested by Sarin et al. (2009) [28] .

CP ( ˚ C ) = 0.526 × % C ( 16 : 0 ) 4.992 (19)

with C(16:0) the percentage of palmitic acid in the oil.

2.11. Statistical Analyses and Reproducibility

Each value in this study was presented as the mean of the measurements from two trials plus the standard deviation of the mean. The line plots were generated using Python 3 Matplotlib library. For comparison of the catalytic effect of NaOH or KOH, a multiple t-test was performed using GRAPHPAD 8.4.3. If p-value > 0.01, the difference was considered non-significant, and significant otherwise.

3. Results and Discussion

3.1. Physicochemical Parameters of Feedstock Oils

G. simplicifolia seed oil and palm kernel oil physicochemical parameters are summarized in Table 4.

GSO extraction yield

The extraction yield of G. simplicifolia seed oil was 28.06% ± 0.38%. This yield was similar to the average values reported by Novidzro et al. (2019a) [11] and Giurleo (2017) [29] , respectively 28.40% and 27% - 32%. Compared to soybean bearing an oil content ranging between 18% - 21% [30] , G. simplicifolia seeds with an estimated oil content of 30.72% (Novidzro et al., 2019a) [11] showcase an attractive oleaginous potential to be valorized in downstream processes to 5-HTP extraction. Therefore, botanical studies are needed to harness the reproduction of the plant. Besides, technical and economic analyses are required to assess the profitability of such processes.

Refractive index

The refractive index ( n D 20 ) measured for was 1.4651 ± 0.0001. This value was lower than 1.4715 ± 0.0011 found by Novidzro et al. (2019a) [11] in a previous

Table 4. Physicochemical parameters of GSO and PKO

aIV: determined experimentally using Wijs method; bIV: predicted exploiting GSO fatty acids profile (Formula (4)); aSV détermined experimentally using volumetric titration; bSV: predicted exploiting GSO fatty acids profile (Formula (3)); ND: Non-Determined; NA: Non-applicable.

study. It is frequently verified that ( n D 20 ) increases with the degree of unsaturation and the length of fatty acids lateral chain. In this study, the simultaneous effect of the higher concentration of C18 fatty acids and the higher degree of unsaturation (152%) of our GSO compared with that of Novidzro et al. (2019a) [11] would imply a higher ( n D 20 ) for our GSO. Such discrepancy means that other factors such as the unsaponifiable fraction would have much more influence on ( n D 20 ).

Specific gravity

The specific gravity at 15˚C of the extracted GSO calculated using the equation of Lund gave 0.92368, corresponding to a density at 15˚C of 0.92287 g/mL. This density exceeded the maximum range recommended for biodiesel, which is 0.860 g/mL to 0.900 g/mL [31] . This result indicated that neat GSO must be transesterified prior to possible usage in diesel engines.

Higher heating value

The estimated HHV for GSO was 39.57 MJ/kg. This value was in the same range as those reported in the literature for regular feedstocks used in biodiesel production, such as castor oil (39.79 MJ/kg), soybean oil (39.64 MJ/kg), sunflower seed oil (39.59 MJ/kg), and linseed oil (39.34 MJ/kg) [19] .

Acid value and concentration of free fatty acids

Using volumetric titration, GSO and PKO acid values were 2.86 ± 0.00 mg KOH/g and 18.01 ± 0.08 mg KOH/g, respectively. These values corresponded to free fatty acid percentages of 1.43% (w/w) and 6.43% (w/w), respectively. For GSO, the obtained value was below the tolerable threshold of 2.5% (w/w) indicated by Musa (2016) [32] as safe for alkaline homogeneous transesterification. However, this acidity was higher than the 0.5 (% w/w) value mentioned by Freedman et al. (1984) [33] for achieving maximum methylesters yield (>98%). But, with preliminary dehydration, indirect heating, and moderate stirring rate, side reactions like saponification are less likely to occur. In the case of PKO, due to its high free fatty acids content, species presenting surfactant behavior are more likely to form during its conversion into biodiesel. Therefore, heterogeneous acid catalysis would be the preferred method of conversion.

Saponification value

The determined SV for our GSO, 172.59 ± 1.32 mg KOH/g was lower than the 186.59 ± 0.63 mg KOH/g previously obtained by Novidzro et al. (2019a) [11] . This difference is due to the higher C18 fatty acids content in our GSO (92.21%) compared to 87.88% from Novidzro et al. (2019a) [11] study. This difference also resulted in an approximate ten-unit difference in molecular weight. As for PKO, the obtained SV of 221.17 ± 0.14 mg KOH/g was below the range of 240 mg KOH/g - 257 mg KOH/g reported by some authors for palm kernel oils [34] . With respect to the latter, the transesterification of PKO would result in a lower methylesters yield compared to GSO, because the higher the SV of the oil, the lower methyl esters yield is obtained after base-catalyzed transesterification. Furthermore, additional precautions should be taken during the washing step of PKO biodiesel, because this type of oil tends to easily give tensioactive molecules in alkaline conditions, which will act as emulsion stabilizers, thus hindering the aqueous and organic phase proper separation.

Ester percent

The ester percent is a metric for evaluating the quality of a raw material that will undergo homogeneous base-catalyzed transesterification. In this study, EP values of 98.34% ± 0.02% and 91.86% ± 0.02% were determined for GSO and PKO, respectively. Referring to the previous values, only GSO could provide a FAME yield greater than 98%, as Canesin et al. (2014) [17] reported a minimum of 96.5% glycerides to achieve a yield greater than 98%.

Iodine value

The experimental IV of our GSO was 25.58 ± 0.32 g I2/100g of oil. This result was in a similar range as the IVs of palm kernel oils from the literature (15 - 23 g I2/100g) and consistent with the previous determination by Novidzro (2019a) [11] classifying GSO as a non-drying oil. However, the theoretically calculated IV and DU based on GC-MS data were 132.23 g I2/100g and 152.07%, respectively. The previous demonstrated considerable difference between theoretical and experimental values. The theoretical IV appeared more plausible considering the total amount of unsaturated fatty acids (UFA) in GSO, namely 79.50%. Additionally, the DU of our GSO, 152.07, was quite comparable to that of other oils with a similar unsaturated fatty acids composition, such as sunflower oil and soybean oil, which have DU values of 152.2% and 143.8%, respectively, with respective IVs of 132 g I2/100g and 128 g I2/100g [18] . If the theoretical result were given superior credit, it would imply that GSO is a drying oil since its IV is greater than 110 g I2/100g. In the latter scenario, the IV of GSO significantly exceeded the maximum value (IVmax = 120 g I2/100g) recommended by the European standard EN-14214 for feedstocks suitable for biodiesel production [35] . Furthermore, the theoretical degree of unsaturation of GSO surpassed the threshold indicated in European specifications, DUmax = 137 [18] . Finally, further investigation is required to explain conclusively the substantial gap between the experimental and theoretical results.

3.2. Fatty Acids Profile of G. simplicifolia Seeds Oil

The GC-MS analysis of the fatty acids composition of GSO provided the results summarized in Table 5. As per analysis results, GSO presents a high level of linoleic acid of 72.56%. The latter content was similar to the 73.19% reported by Novidzro et al. (2019c) [36] . Moreover, the aggregate percentage of unsaturated fatty acids (UFA), including linoleic acid (72.56%), oleic acid (6.93%), palmitoleic acid (0.01%), and (Z)-hexadec-11-enoic acid (0.01%) in our GSO, was 79.51%.

Other vegetable oils, such as safflower oil and grape seed oil, also shows similar linoleic acid percentage [37] . In the present GSO, palmitic and stearic acids were the predominant saturated fatty acids, with 7.54% and 12.72%, respectively.

Table 5. Fatty acids composition of G. simplicifolia seed oil.

1ND: Non-Determined, 2MUFA: Monounsaturated Fatty Acid, 3PUFA: Polyunsaturated Fatty Acid.

The previous palmitic and stearic acids contents in our GSO were in equal range as the values reported by other authors, ca. 9% - 11% for C16:0 and 16% - 18% for C18:0 [38] and 8.8%, 16.9% for C16:0 and C18:0, respectively [29] . The high cumulative amount of C18 fatty acids in GSO, ca. 92.21%, would favorably influence the cetane number (CN), as CN tends to increase when the aliphatic lateral chain length of fatty acids approach or exceed that of n-hexadecane. Conversely, the high content of unsaturated fatty acids (UFA), with a total amount of 79.51%, would adversely affect CN value, as CN decreases when the degree of unsaturation (DU) increases [39] . Moreover, the high UFA content is beneficial for the viscosity, as the latter tends to decrease with the increasing DU of the oil [40] . Similarly, the relatively low content of saturated fatty acids (SFA) in our GSO (20.42%) should result in more advantageous cold flow properties.

3.3. Optimization of PKO Transesterification

In this study, we qualitatively accessed the yield of FAME after each PKO sample transesterification experiments by measuring the variation in density and refractive index of the resulting transesterified mixtures. The data points obtained allowed the construction of the line plots depicted in Figures 2(a)-(c).

It is worth mentioning that the density values used to establish the line plots were measured without accounting the effect of air buoyancy. Therefore, in this section the density implies non-corrected density ρnc.

With respect to the FFA content of the PKO used in this study (6.43%), the optimal reaction conditions for the transesterification reaction, were: optimal

(a)(b)(c)

Figure 2. (a) Density vs Molar ratio of PKO; (b) Density vs reaction time PKO; (c) Density vs reaction temperature PKO.

reaction temperature Topt = 63.5˚C, optimal reaction time topt = 60 min, and optimal PKO/MeOH molar ratio MRopt = (1:12). Following each experiment, a diminution in the value of the density of the formed FAME mixtures compared to the parent oil was observed versus increasing reaction parameters values, either PKO/MeOH molar ratio (Figure 2(a)) or reaction time (Figure 2(b)) or reaction temperature (Figure 2(c)). The density ρnc decreased from the maximum value of 0.8942 g/mL (neat PKO) to a minimum of 0.8401 g/mL as PKO/MeOH molar ratio increased from (1:3) to (1:12). Beyond a molar ratio exceeding MR = 1:12, the opposite effect occurred. In particular, at MR = 1:3, the obtained reaction mixture solidified in the separating funnel. Such an observation is due to the higher rate of the saponification reaction of glycerides compared to that of the transesterification reaction.

The reduced density of the transesterified product compared to that of the parent oil is due to the progressive substitution of the glycerol moiety in glycerides by methanol molecules. Since pure glycerol is denser than neat vegetable oil, its cleavage out of the medium consequently leads to a decrease in the density of the resulting mixture. However, an excessive excess of methanol resulted in poor separation of the FAME phase from the glycerol phase leading to a decrease in FAME yield. The presence of diluted glycerol in the FAME phase leads to the apparent loss of methyl esters due to micelles formation [32] . Additional explanation suggested by Phan & Phan (2008) [41] assumed a reduction in the rate of conversion of triglycerides into FAMEs. According to the latter hypothesis, one must first consider the mechanism through which excess methanol would initially lead to a high conversion of glycerides into FAME. Afterward, as more FAME molecules are formed, consequently increasing amount of glycerol is generated. Ultimately, as the reaction medium approaches saturation in glycerol, the excess glycerol molecules in the medium would automatically shift the equilibrium to the reverse side in compliance with the laws of thermodynamic equilibria.

3.4. Optimization of GSO Transesterification Reaction

The line plots obtained by measuring the density and refractive index of transesterified mixtures at selected molar ratios depending on the catalyst type (NaOH or KOH) are depicted in Figure 3, Figure 4 and Table 6. Regardless of catalyst type, GSO/PKO MR = 1:9 resulted in the FAME mixtures with optimal density and refractive index, thus predictively optimal FAME yield. Expectedly, the refractive index of the transesterified mixtures decreased as the oil-to-methanol molar increased (Figure 5 and Table 6). In other words, the refractive index of transesterified vegetable oils decreases as the FAME yield increases, in compliance with the results of Xie & Li (2006) [42] . Additionally, the paired-com- parison plots comparing KOH or NaOH capability in lowering the refractive index and the density of parent oils are illustrated in Figure 5 and Figure 6. According to the latter results, there was no significative differences in the catalytic

Figure 3. Density vs molar_ratio_GSO_PKO.

Figure 4. Refractive index vs molar_ratio_GSO_PKO.

Table 6. Variation in density and refractive index versus oil-to-MeOH molar ratio.

n D T : refractive index; ρnc: density.

Figure 5. Barchart refractive index vs GSO_MeOH molar ratio.

Figure 6. Barchart refractive index vs PKO molar ratio.

performance of NaOH or KOH, either during GSO (p = 0.1449 > 0.05) or PKO (p = 0.5240 > 0.05) conversions. Many attempts at establishing a linear regression relationship between the refractive index and the yield of alkylesters as a rapid method of verification in continuous biodiesel production are available in the literature [43] [44] [45] .

Finally, in the present study the preferred optimal reaction conditions for the transesterification of GSO were as follows: 1.3% KOH (w/w); GSO/MeOH molar ratio MRopt = 1:9; reaction time topt = 60 min, and temperature Topt = 63.5˚C. There is however, a need of quantitative instrumental techniques such as Gas Chromatography (GC) or High-Performance Liquid Chromatography (HPLC) to measure the FAME yield and validate our assertions.

3.5. Fuel Properties Prediction of GSO Biodiesel

The physicochemical parameters of GSO biodiesel calculated using various linear regression correlations and relying upon data from the fatty acid composition of GSO are compiled in Table 7.

The calculated OSI of GSO biodiesel resulted in an induction period of 0.65 hours. This induction period did not comply with the EN 14214 (3 h) and ASTM 6751 (6 h) specifications. According to previous work by Kumar (2017) [46] , GSO biodiesel would be classified as a biodiesel with poor oxidative stability, since OSI < 2 h. Therefore, according to Kumar (2017) [46] , this type of biofuel would require a significant amount of antioxidant additives, regardless of specifications, to achieve the recommended quality, thus incurring higher costs. Being predominantly unsaturated (DU ≈ 152), the bis-allylic positions Δ11 of polyunsaturated fatty acids (PUFA) and allylic positions Δ11 of monounsaturated fatty acids (MUFA) will have a strong tendency to undergo homolytic cleavage under oxidative conditions. As a result, it is imperative to implement efficient storage conditions to isolate GSO and resulting biodiesel from ambient air, light, metals, or other pro-oxidative factors.

The higher heating value (HHV) calculated for GSO biodiesel was 39.72 MJ/kg. The latter value is approximately 8% lower than that of No. 2 petrodiesel fuel [47] . Correspondingly, the previous value relates to a volumetric energy density of 34.97 MJ/L, which is considerably lower than that of petrodiesel, ca. 40 MJ/L [48] . Consequently, a volume of ca. 1144 mL of GSO biodiesel would be required to deliver equal energy output as 1 L petrodiesel, thus negatively affecting the pump prices. Therefore, to maximize the energy return on investment (EROI), it will be best to align this process with the valorization of niche molecules such as 5-HTP, lectins, and antioxidants in G. simplicifolia seeds.

Table 7. Predicted fuel properties of GSO biodiesel.

1CN: Cetane Number; 2HHV: Higher Heating Value; 3CP: Cloud Point; 4ν: kinematic viscosity; 5OSI: Oxidative Stability Index.

The calculation of the cetane number (CN) of GSO biodiesel yielded 50.29. This value complies with ASTM D 6751 specification. Comparatively, the calculated CN value was close to those of soybean biodiesel (51.8) and sunflower biodiesel (51.9) [49] .

The determination of the kinematic viscosity at 40˚C of GSO biodiesel resulted in a value of 4.07 mm2/s. This value adhered to EN 14214 and ASTM D 6571 specifications. However, it significantly exceeded that of Ultra Low Sulfur Diesel, which is 2.32 mm2/s [50] .

The predictive calculation of the cloud point of GSO biodiesel using the correlation suggested by Sarin et al. (2009) [28] gives a value of −1.03˚C. Nonetheless, minor compounds in GSO, such as sterylglycosides, terpenoids, and phospholipids, can dramatically influence this parameter up. In reality, it is plausibly expectable that the experimental cloud point of GSO biodiesel might be higher than the theoretically predicted value depending on the presence and quantities of these minor compounds.

Apart from the poor oxidative stability (OS), each fuel property calculated in this study for GSO biodiesel complies with the European EN 14214 and the American ASTM D 6571 standards.

4. Conclusions

We took advantage of the energetic potential of Griffonia simplicifolia seeds oil in this study by converting it into biodiesel. To produce biodiesel, GSO was first extracted from ground mature seeds. The transesterification of the oil was carried out using NaOH and KOH catalysts. Among both methods that allowed qualitative monitoring of FAME yield, recording the diminution of the refractive index was more accurate and faster than measuring the decrease of the density. With a free fatty acid content of 1.43% (w/w), the optimal reaction parameters values were as follows: oil/methanol molar ratio = 1:9, reaction time = 60 min, temperature = 63.5˚C, 1.2% NaOH (w/w) or 1.3% KOH (w/w), with a preference for KOH due to its easier dissolution in methanol. Under the optimized experimental conditions, KOH and NaOH exhibited similar effect in their ability to catalyze the decrease in density or refractive index. This study classified G. simplicifolia seed oil as a drying oil based on the theoretical results calculated for IV and DU. The significantly high DU of GSO resulted in a low induction period of 0.65 hours, indicating poor resistance of the oil and biodiesel to oxidation. Except for the OS, all other predicted fuel properties of GSO biodiesel met both EN 14214 and ASTM D 6571 standards.

Therefore, engine tests need to be carried out to evaluate the suitability of GSO biodiesel for usage in diesel engines.

Acknowledgements

The authors would like to thank the authorities of the Université de Lomé-Togo for technical assistance during the study.

Abbreviation

GSO: Griffonia simplicifolia seed oil

PKO: Palm kernel oil

FAME: Fatty acid methyl ester

5-HTP: 5-hydroxymethyltryptophane

SV: Saponification value

IV: Iodine value

CN: Cetane number

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

References

[1] IPCC (2023) Climate Change 2023: Synthesis Report [Synthesis Report of the IPCC Sixth Assessment Report (AR6) (Longer Report)]. 6.
https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_LongerReport.pdf
[2] Loh, P.M., Twumasi, Y.A., Ning, Z.H., Anokye, M., Armah, R.N.D., Apraku, C.Y., Oppong, J., Namwamba, J.B., Kangwana, L. and Mjema, J. (2023) Bioenergy: Examining the Efficient Utilization of Agricultural Biomass as a Source of Sustainable Renewable Energy in Louisiana. Journal of Sustainable Bioenergy Systems, 13, 99-115.
https://www.scirp.org/journal/jsbs
https://doi.org/10.4236/jsbs.2023.133006
[3] Abli, G.I., Novidzro, K.M., Megnassan, S. and Koumaglo, K.H. (2022) Contribution to Bioethanol Recovery of Wastes from Rice Cultivation in Kovié, Togo. International Journal of Green and Herbal Chemistry, 11, 401-414.
https://doi.org/10.24214/IJGHC/GC/11/4/40114
[4] Raheem, I., Mubarak, N.M., Karri, R.R., Manoj, T., Ibrahim, S.M., Mazari, S.A. and Nizamuddin, S. (2022) Forecasting of Energy Consumption by G20 Countries Using an Adjacent Accumulation Grey Model. Scientific Reports, 12, Article No. 13417.
https://doi.org/10.1038/s41598-022-17505-4
[5] Ogunwa, K.I., Ofodile, S. and Achugasim, O. (2015) Feasibility Study of Melon Seed Oil as a Source of Biodiesel. Journal of Power and Energy Engineering, 3, 24-27.
https://doi.org/10.4236/jpee.2015.38003
[6] Lemaire, P.A. and Adosraku, R.K. (2002) An HPLC Method for the Direct Assay of the Serotonin Precursor, 5-Hydroxytrophan, in Seeds of Griffonia simplicifolia. Phytochemical Analysis, 13, 333-337.
https://doi.org/10.1002/pca.659
[7] GIPC (2023) Investment Opportunities—Ghana Investment Promotion Centre-GIPC.
https://gipc.gov.gh/investment-opportunities-5/
[8] Cunningham, A.B., Brinckmann, J.A. and Harter, D.E.V. (2021) From Forest to Pharmacy: Should We Be Depressed about a Sustainable Griffonia simplicifolia (Fabaceae) Seed Supply Chain? Journal of Ethnopharmacology, 278, Article ID: 114202.
https://doi.org/10.1016/j.jep.2021.114202
[9] Verified Market Research (2023) 5-Hydroxytryptophan (5-HTP) Market Size, Trends, Growth and Forecast.
https://www.verifiedmarketresearch.com/product/5-hydroxytryptophan-5-htp-market/
[10] Meybeck, A. (2005) Utilisation d’un extrait de Griffonia, en particulier de Griffonia simplicifolia, dans une composition cosmétique ou dermatologique pour atténuer la pigmentation de la peau et des phanères. (Institut National de la Propriété Industrielle Patent NoFR2886843).
https://patentimages.storage.googleapis.com/fc/65/eb/67cd54246c0e8d/FR2886843A1.pdf
[11] Novidzro, K.M., Wokpor, K., Fagla, B.A., Koudouvo, K., Dotse, K., Osseyi, E. and Koumaglo, K.H. (2019) Etude de quelques paramètres physicochimiques et analyse des éléments minéraux, des pigments chlorophylliens et caroténoides de l’huile de graines de Griffonia simplicifolia. International Journal of Biological and Chemical Sciences, 13, 2360.
https://doi.org/10.4314/ijbcs.v13i4.38
[12] Novidzro, K.M., Melila, M., Wokpor, K., Dotse, K., Koumaglo, K.H. and Osseyi, E. (2019) Fatty Acids Composition of the Oil, and Quantification of 5-HTP, Chlorophylls (A & B) and Total Carotenoids of Griffonia simplicifolia Seeds. Journal of Pharmacognosy and Phytochemistry, 8, 104-114.
[13] Halvorsen, J.D., Mammel, W.C. and Clements, L.D. (1993) Density Estimation for Fatty Acids and Vegetable Oils Based on Their Fatty Acid Composition. Journal of the American Oil Chemists’ Society, 70, 875-880.
https://doi.org/10.1007/BF02545346
[14] Kpoezoun, A., Novidzro, K.M. and Baba, G. (2022) Physicochemical Study, Fatty Acid Profile and Antioxidant Potential of the Seed Oil of Polyalthia longifolia angustifolia. Chemical Science International Journal, 31, 38-46.
https://doi.org/10.9734/CSJI/2022/v31i330284
[15] Gadegbe, A.V., Bakoma, B., Novidzro, K.M., Dotse, K. and Melila, M. (2019) Physico-Chemical Quality Assessment of Palm Kernel Oil during Storage at Room Temperature and Shelter of Light. International Journal of Pharmacy and Chemistry, 5, 52-60.
https://doi.org/10.11648/j.ijpc.20190505.12
[16] Singhal, R.S. and Kulkarni, P.R. (1990) Effect of Puffing on Oil Characteristics of Amaranth (Rajgeera) Seeds. Journal of the American Oil Chemists’ Society, 67, 952-954.
https://doi.org/10.1007/BF02541855
[17] Canesin, E.A., de Oliveira, C.C., Matsushita, M., Dias, L.F., Pedrao, M.R. and de Souza, N.E. (2014) Characterization of Residual Oils for Biodiesel Production. Electronic Journal of Biotechnology, 17, 39-45.
https://doi.org/10.1016/j.ejbt.2013.12.007
[18] Ramos, M.J., Fernández, C.M., Casas, A., Rodríguez, L. and Pérez, á. (2009) Influence of Fatty Acid Composition of Raw Materials on Biodiesel Properties. Bioresource Technology, 100, 261-268.
https://doi.org/10.1016/j.biortech.2008.06.039
[19] Demirbas, A. (1998) Fuel Properties and Calculation of Higher Heating Values of Vegetable Oils. Fuel, 77, 1117-1120.
https://doi.org/10.1016/S0016-2361(97)00289-5
[20] Van Gerpen, J., Shanks, B., Pruszko, R. and Knothe, G. (2004) Pretreatment of High Free Fatty Acid Feedstocks. Biodiesel Production Technology. National Renewable Energy Laboratory, NRRL/SR-510-36244.
[21] Froehner, S., Leithold, J. and Lima Júnior, L.F. (2007) Transesterificacao de óleos vegetais: Caracterizacao por cromatografia em camada delgada e densidade. Química Nova, 30, 2016-2019.
https://doi.org/10.1590/S0100-40422007000800037
[22] De Filippis, P., Giavarini, C., Scarsella, M. and Sorrentino, M. (1995) Transesterification Processes for Vegetable Oils: A Simple Control Method of Methyl Ester Content. Journal of the American Oil Chemists’ Society, 72, 1399-1404.
https://doi.org/10.1007/BF02546218
[23] Talebi, A.F., Tabatabaei, M. and Chisti, Y. (2014) Biodiesel Analyzer: A User-Friendly Software for Predicting the Properties of Prospective Biodiesel. Biofuel Research Journal, 1, 55-57.
[24] Lois, E., Keating, E.L. and Gupta, A.K. (2002) Fuels. In: Meyers, R.A., Ed., Encyclopedia of Physical Science and Technology, Vol. 6, 3rd Edition, John Wiley, Hoboken, 275-314.
https://doi.org/10.1016/B0-12-227410-5/00268-4
[25] Ramírez-Verduzco, L.F., Rodríguez-Rodríguez, J.E. and Jaramillo-Jacob, A.d.R. (2012) Predicting Cetane Number, Kinematic Viscosity, Density and Higher Heating Value of Biodiesel from Its Fatty Acid Methyl Ester Composition. Fuel, 91, 102-111.
https://doi.org/10.1016/j.fuel.2011.06.070
[26] Knothe, G. (2002) Structure Indices in FA Chemistry. How Relevant Is the Iodine Value? Journal of the American Oil Chemists’ Society, 79, 847-854.
https://doi.org/10.1007/s11746-002-0569-4
[27] Knothe, G. and Dunn, R.O. (2003) Dependence of Oil Stability Index of Fatty Compounds on Their Structure and Concentration and Presence of Metals. Journal of the American Oil Chemists’ Society. 80, 1021-1026.
https://doi.org/10.1007/s11746-003-0814-x
[28] Sarin, A., Arora, R., Singh, N.P., Sarin, R., Malhotra, R.K. and Kundu, K. (2009) Effect of Blends of Palm-Jatropha-Pongamia Biodiesels on Cloud Point and Pour Point. Energy, 34, 2016-2021.
https://doi.org/10.1016/j.energy.2009.08.017
[29] Giurleo, D. (2017) A Phytochemical Exploration of Griffonia simplicifolia Seeds and Leaves.
https://rucore.libraries.rutgers.edu/rutgers-lib/52205/
[30] Bergmann, J.C., Tupinambá, D.D., Costa, O.Y.A., Almeida, J.R.M., Barreto, C.C. and Quirino, B.F. (2013) Biodiesel Production in Brazil and Alternative Biomass Feedstocks. Renewable and Sustainable Energy Reviews, 21, 411-420.
https://doi.org/10.1016/j.rser.2012.12.058
[31] Knothe, G. (2006) Analyzing Biodiesel: Standards and Other Methods Journal of the American Oil Chemists’ Society, 83, 823-833.
https://doi.org/10.1007/s11746-006-5033-y
[32] Musa, I.A. (2016) The Effects of Alcohol to Oil Molar Ratios and the Type of Alcohol on Biodiesel Production Using Transesterification Process. Egyptian Journal of Petroleum, 25, 21-31.
https://doi.org/10.1016/j.ejpe.2015.06.007
[33] Freedman, B., Pryde, E.H. and Mounts, T.L. (1984) Variables Affecting the Yields of Fatty Esters from Transesterified Vegetable Oils. Journal of the American Oil Chemists’ Society, 61, 1638-1643.
https://doi.org/10.1007/BF02541649
[34] Bart, J.C.J., Palmeri, N. and Cavallaro, S. (2010) Emerging New Energy Crops for Biodiesel Production. In: Bart, J.C.J., Palmeri, N. and Cavallaro, S., Eds., Biodiesel Science and Technology, Elsevier, Amsterdam, 226-284.
https://doi.org/10.1533/9781845697761.226
[35] Barabás, I. and Todorut, I.-A. (2011) Biodiesel Quality, Standards and Properties. In: Montero, G. and Stoytcheva, M., éds., Biodiesel: Quality, Emissions and By-Products, IntechOpen, London, 3-28.
https://doi.org/10.5772/25370
[36] Novidzro, K.M., Melila, M., Houndji, B.V.S., Wokpor, K., Dotse, K., Koumaglo, K.H. and Osseyi, E. (2019) Fatty Acids Composition of the Oil, and Quantification of 5-HTP, Chlorophylls (A & B) and Total Carotenoids, of Griffonia simplicifolia Seeds. Journal of Pharmacognosy and Phytochemistry, 8, 104-114.
https://www.phytojournal.com/archives/?year=2019&vol=8&issue=6&ArticleId=9989
[37] Gunstone, F.D. (2005) Vegetable Oils. In: Shahidi, F., éd., Bailey’s Industrial Oil and Fat Products, 6th Edition, John Wiley & Sons, Hoboken, 222.
http://app.knovel.com/hotlink/toc/id:kpBIOFPVE1/baileys-industrial-oil
https://doi.org/10.1002/047167849X.bio018
[38] Petkov, G. and Ramazanov, Z. (2003) Fatty Acids and Sterols of Griffonia Seeds Oil. Grasas y Aceites, 54, 30-31.
https://doi.org/10.3989/gya.2003.v54.i1.273
[39] Harrington, K.J. (1986) Chemical and Physical Properties of Vegetable Oil Esters and Their Effect on Diesel Fuel Performance. Biomass, 9, 1-17.
https://doi.org/10.1016/0144-4565(86)90008-9
[40] Knothe, G. and Steidley, K.R. (2007) Kinematic Viscosity of Biodiesel Components (Fatty Acid Alkyl Esters) and Related Compounds at Low Temperatures. Fuel, 86, 2560-2567.
https://doi.org/10.1016/j.fuel.2007.02.006
[41] Phan, A.N. and Phan, T.M. (2008) Biodiesel Production from Waste Cooking Oils. Fuel, 87, 3490-3496.
https://doi.org/10.1016/j.fuel.2008.07.008
[42] Xie, W. and Li, H. (2006) Hydroxyl Content and Refractive Index Determinations on Transesterified Soybean Oil. Journal of the American Oil Chemists’ Society, 83, 869-872.
https://doi.org/10.1007/s11746-006-5039-5
[43] Co, D.M.S., Bugtai, N.T., Razon, L.F. and Pobre, R.F. (2015) Development of an Online Refractive Index Monitoring System to Detect the End Point of Transesterification Reaction. International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Cebu, 9-12 December 2015, 1-6.
https://doi.org/10.1109/HNICEM.2015.7393189
[44] Ghanei, R., Moradi, G.R., Taherpour Kalantari, R. and Arjmandzadeh, E. (2011) Variation of Physical Properties during Transesterification of Sunflower Oil to Biodiesel as an Approach to Predict Reaction Progress. Fuel Processing Technology, 92, 1593-1598.
https://doi.org/10.1016/j.fuproc.2011.04.003
[45] Tubino, M., Junior, J.G.R. and Bauerfeldt, G.F. (2014) Biodiesel Synthesis with Alkaline Catalysts: A New Refractometric Monitoring and Kinetic Study. Fuel, 125, 164-172.
https://doi.org/10.1016/j.fuel.2014.01.096
[46] Kumar, N. (2017) Oxidative Stability of Biodiesel: Causes, Effects and Prevention. Fuel, 190, 328-350.
https://doi.org/10.1016/j.fuel.2016.11.001
[47] Goering, C.E., Schwab, A.W., Daugherty, M.J., Pryde, E.H. and Heakin, A.J. (1982) Fuel Properties of Eleven Vegetable Oils. Transactions of the ASAE, 25, 1472-1477.
https://doi.org/10.13031/2013.33748
[48] Fischer, M., Werber, M. and Schwartz, P.V. (2009) Batteries: Higher Energy Density than Gasoline? Energy Policy, 37, 2639-2641.
https://doi.org/10.1016/j.enpol.2009.02.030
[49] Giakoumis, E.G. and Sarakatsanis, C.K. (2018) Estimation of Biodiesel Cetane Number, Density, Kinematic Viscosity and Heating Values from Its Fatty Acid Weight Composition. Fuel, 222, 574-585.
https://doi.org/10.1016/j.fuel.2018.02.187
[50] Moser, B.R. (2009) Biodiesel Production, Properties, and Feedstocks. In Vitro Cellular & Developmental Biology. Plant, 45, 229-266.
https://doi.org/10.1007/s11627-009-9204-z

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.