Optimization of biocatalytic biodiesel production from pomace oil using response surface methodology

Yücel, Yasin

doi:10.1016/j.fuproc.2012.02.008

Cited by 60 publications

(16 citation statements)

References 27 publications

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“…Response surface methodology is a combination of mathematical and statistical techniques which is widely used for designing experiments, building models, determining optimum conditions and evaluating the relative signi cance of several factors a ecting a process [13].…”

Section: Introductionmentioning

confidence: 99%

Optimization of melon oil methyl ester production using response surface methodology

Aliozo

Emembolu

Onukwuli

2017

Biofuels Engineering

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Abstract:In this research work, melon oil was used as feedstock for methyl ester production. The research was aimed at optimizing the reaction conditions for methyl ester yield from the oil. Response surface methodology (RSM), based on a ve level, four variable central composite designs (CCD) was used to optimize and statistically analyze the interaction e ect of the process parameter during the biodiesel production processes. A total of 30 experiments were conducted to study the e ect of methanol to oil molar ratio, catalyst weight, temperature and reaction time. The optimal yield of biodiesel from melon oil was found to be 94.9% under the following reaction conditions: catalyst weight -0.8%, methanol to oil molar ratio -6:1, temperature -55• C and reaction time of 60mins.The quality of methyl ester produced at these conditions was within the American Society for Testing and Materials (ASTM D6751) speci cation.

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Section: Introductionmentioning

confidence: 99%

Optimization of melon oil methyl ester production using response surface methodology

Aliozo

Emembolu

Onukwuli

2017

Biofuels Engineering

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“…Despite the technical developments of the last 10 years, this category reaches between 10 and 20%. The extraction of virgin olive oil also results in the production of solid by‐products called olive oil cake, consisting of the dry matter of the olive (pulp, peel, stone…). When it is not used for livestock feeding or energy recovery, the olive cake is dried, grinded, and treated with solvent, usually hexane, to produce a flavor‐less pomace olive oil. About 20% of olive oil is actually entrapped in the cake, meaning that it represents an under‐exploited resource.…”

Section: Introductionmentioning

confidence: 99%

Renewable Photopolymer Films Derived From Low‐Grade Lampante and Pomace Olive Oils

Bouaziz

Ayadi²,

Allouche

et al. 2017

Euro J Lipid Sci & Tech

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Thiol‐ene photoinduced copolymerization between a polythiol cross‐linker and low‐grade unsaturated olive oil provides an eco‐efficient route to dry, flexible, and rubbery films in the matter of minutes. The synthetic methodology uses low cost olive oils resulting from non‐edible grades (lampante olive oil) and waste production (pomace olive oil) without prior chemical modification. The resultant photopolymer thioether cross‐linked films contain up to 80–85% of renewable resources, and UV‐driven drying proceeds despite the limited unsaturations’ concentration. Photopolymerization is triggered with a conventional medium‐pressure mercury arc in presence of three different thiol cross‐linkers: 2,2′‐(ethylenedioxy)diethanethiol, hexanedithiol or trimethylolpropanetris(3‐mercaptopropionate) and a radical photoinitiator (2‐hydroxy 2‐methylpropiophenone). Using real‐time Fourier transform infrared spectroscopy (RT‐FTIR), we show that cross‐linking proceeds essentially via a step‐growth thiol‐ene polymerization, and to a minor extent, by a conventional photo‐oxidation mechanism. Practical Applications: Olive oil is the second largest produced vegetable oil, and in 2016 world production amounted to 3.5 million tons. An excess of low‐grade pomace and lampante olive oils is generated annually from the conventional extraction process; however, declared unfit for human consumption, they have a limited number of uses, and it is difficult to find new outlets. Despite this excess, the development of synthetic and processing methods to convert these non‐edible olive oils in useful materials has not been investigated widely. Here we report a method based on thiol‐ene photopolymerization to prepare a new range of UV‐curable films. Using time‐resolved infrared spectroscopy, this study sheds light into reaction kinetics and polymerization mechanism. We report a method based on thiol‐ene photopolymerization to prepare a new range of UV‐curable films derived from the excess of low‐grade pomace and lampante olive oils generated from the conventional extraction process of olive oil.

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“…Response surface methodology (RSM) is a statistical approach to design experiments, to build models, to evaluate the effects of many factors and to find the optimal conditions for desirable responses and to reduce the number of required experiments [10][11][12][13][14][15]. Also, we have successfully used RSM to optimize of ethanol production conditions in our previous study [16].…”

Section: Introductionmentioning

confidence: 99%

“…The p values were used as a tool to check the significance of each of the variables as well as their interactive and quadratic effects. x 2 (b-glucosidase loading), x 12 , x13 , and x 2 2 are the most significant parameters (p [ F \ 0.05) as a result of analysis of variance…”

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confidence: 99%

Optimization and Modelling of Process Conditions Using Response Surface Methodology (RSM) for Enzymatic Saccharification of Spent Tea Waste (STW)

Yücel

Göycincik

2015

Waste Biomass Valor

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Spent tea waste (STW) is an important lignocellulosic waste as a cost-effective feedstock for ethanol production. The enzymatic hydrolysis of acid pretreated STW was investigated in this study. The effects of process parameters, including acid pretreatment time 26.4-93.6 min, b-glucosidase loading from 20 to 80 IU/g and cellulase loading from 11 to 45 IU/g on reducing sugar yield, were optimized by using central composite design of response surface methodology. The analysis of variance of data was examined by using response surface quadratic model. The valid model was used for optimization of the reducing sugar concentration during enzymatic hydrolysis. The optimum conditions for enzymatic saccharification were found to be acid pretreatment time of 27 min, b-glucosidase loading of 49 IU/g and cellulase loading of 12 IU/g. Maximum concentration of the reducing sugar under the optimum conditions was determined as 29.0 g reducing sugar/L.

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Optimization of biocatalytic biodiesel production from pomace oil using response surface methodology

Cited by 60 publications

References 27 publications

Optimization of melon oil methyl ester production using response surface methodology

Optimization of melon oil methyl ester production using response surface methodology

Renewable Photopolymer Films Derived From Low‐Grade Lampante and Pomace Olive Oils

Optimization and Modelling of Process Conditions Using Response Surface Methodology (RSM) for Enzymatic Saccharification of Spent Tea Waste (STW)

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