Optimization of melon oil methyl ester production using response surface methodology

Aliozo, O. S.; Emembolu, Loveth Nwanneka; Onukwuli, Okechukwu Dominic

doi:10.1515/bfuel-2017-0001

Cited by 14 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The combined impacts of the independent factors were studied. CCD typically has six center points, 2n factorial runs, and 2(n) axial runs, where n specifies the number of factors (Aliozo et al, 2017;Ayoub et al, 2016). CCD was utilized to evaluate the association between the biolubricant manufacturing factors and percentage yield.…”

Section: Optimization Of Process Parameters For Produced Jatropha Bio...mentioning

confidence: 99%

Optimization of the process variables on biodegradable industrial lubricant basestock synthesis from Jatropha curcas seed oil via response surface methodology

Ifeanyi-Nze

Akhiehiero

2023

Front. Energy Res.

View full text Add to dashboard Cite

The synthesis of biolubricants from renewable feedstocks is currently gaining attention. Over 95% of the market is comprised of lubricants made from petroleum. Due to their limited biodegradability and high eco-toxicity, lubricants generated from petroleum constitute a significant environmental hazard. As pollution levels increase and oil supplies decline, there is a rising need to develop biobased alternatives. Manufacturing cleaner fuel products will mitigate the negative environmental impact of greenhouse gas emissions, which contribute to global warming. Jatropha curcas seed oil is an efficient renewable feedstock for biolubricant synthesis. This study optimized the process variables on biodegradable lubricant basestock production from J. curcas seed oil. A central composite design was used to maximize the chemical interaction between J. curcas methyl ester and ethylene glycol (EG) as a polyol. A total of 20 experimental runs were done to examine reaction temperature, time, and the ethylene glycol to fatty acid methyl ester (EG-to-FAME) molar ratio. A statistical model indicated that the maximum conversion yield of jatropha biolubricant (JBL) would be 92.48% under the following optimum reaction conditions: 128.95°C, 202.40 min, and ethylene glycol to fatty acid methyl ester (EG-to-FAME) molar ratio of 3.87:1. At these optimum conditions, an average jatropha biolubricant (JBL) yield of 94.12% was achieved under experimental conditions, and this value was well within the range predicted (92.48%) by the model. The quadratic model predicted the biolubricant output (R2 = 0.9919). The synthesized biolubricant met the requirements of Viscosity Grade 46 (ISO VG 46) set by the International Organization for Standardization.

show abstract

Section: Optimization Of Process Parameters For Produced Jatropha Bio...mentioning

confidence: 99%

Optimization of the process variables on biodegradable industrial lubricant basestock synthesis from Jatropha curcas seed oil via response surface methodology

Ifeanyi-Nze

Akhiehiero

2023

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…However, the use of these oils to produce biodiesel was discontinued due to how it affects food availability and the cost of living, especially in developing countries. Various non-edible biomass such as castor [8], tamanu [9], rubber seed [10], jatropha curcas [11], neem [12], pongamia pinnata [13], rubber seed [14], cottonseed [15] etc. have been used to produce biodiesel.…”

Section: Introductionmentioning

confidence: 99%

Methanolysis of Africa Pear Seed Oil via Thermally Activated Empty Palm Fruit Bunch Ash (TAEPFBA) Catalyst, ANN Prediction and Sensitivity Analysis

Umeagukwu

Onukwuli

Ude

et al. 2022

JERR

View full text Add to dashboard Cite

This study investigated the catalytic effect of thermal modified empty palm fruit bunch ash (TAEPFBA) on the transesterification reaction of Africa pear seed oil (APSO) with optimization of the process variable, and relative contribution of each variable ascertained. The TAEPFBA was synthesized from empty palm fruit bunches while the APSO was extracted via solvent extraction. The oil and catalyst were characterized using American Standard for Testing of Material (ASTM) and analytical tools. The biodiesel was produced at optimal condition and the yield of biodiesel was predicted with artificial neural network (ANN). The methyl ester produced was characterized and compared with standard properties for its application. The results showed that the oil and catalyst had comparable properties with other oils and catalysts that have been used for transesterification. The optimal conditions for transesterification reaction are temperature of 60oC, reaction time of 3hrs, 10:1 methanol/oil molar ratio, 3wt % catalyst dosage and agitation speed of 300rpm with biodiesel yield of 75%. The biodiesel produced was within the acceptable standard. The ANN predicted the yield of biodiesel with a mean square error (MSE) value of 0.0214 less than 0.05 level of significant. The contributive impact of each process variable shows that the temperature has the highest relative impact on the yield of biodiesel while the methanol/oil molar ratio has the least contribution The overall result shows that the catalyst (TAEPFBA) has the potential to convert the APSO to alkyl ester and the yield can be predicted with ANN tool.

show abstract

Kinetic modeling of bio-based heterogeneously catalyzed lard oil methanolysis in methyl ester production

Ezekannagha,

Onukwuli,

Uzoh

et al. 2023

Reac Kinet Mech Cat

View full text Add to dashboard Cite

Optimization of melon oil methyl ester production using response surface methodology

Cited by 14 publications

References 25 publications

Optimization of the process variables on biodegradable industrial lubricant basestock synthesis from Jatropha curcas seed oil via response surface methodology

Optimization of the process variables on biodegradable industrial lubricant basestock synthesis from Jatropha curcas seed oil via response surface methodology

Methanolysis of Africa Pear Seed Oil via Thermally Activated Empty Palm Fruit Bunch Ash (TAEPFBA) Catalyst, ANN Prediction and Sensitivity Analysis

Kinetic modeling of bio-based heterogeneously catalyzed lard oil methanolysis in methyl ester production

Contact Info

Product

Resources

About