Optimization of biodiesel production parameters from Prosopis julifera seed using definitive screening design

Hundie, Ketema Beyecha; Akuma, Desalegn Abdissa

doi:10.1016/j.heliyon.2022.e08965

Cited by 24 publications

(7 citation statements)

References 50 publications

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“…The parameters examined using the transesterification method were catalyst concentration, methanol:HSO molar ratio, reaction temperature, and reaction time. Many researchers emphasized that examining these parameters affects transesterification (Miraculas et al 2018 ; Hundie and Akuma 2022 ; Adenuga et al 2020 ; Halwe et al 2021 ). The parameter data for the optimization processes in this study are illustrated in Table 2 .…”

Section: Methodsmentioning

confidence: 99%

The analysis of classical, polynomial regression and cubic spline mathematical models in hemp biodiesel optimization: an experimental comparison

Aslan

2024

Environ Sci Pollut Res

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Post-pandemic inflationist pressures, climate changes and extremes, regional conflicts, and soaring food prices caused the food crisis to increase rapidly worldwide. This global problem directs producers and researchers to use oils used as feedstock in biodiesel production effectively. In this context, it is important to assay the transesterification parameters and conduct new optimization studies to increase biodiesel yield. In this study, methyl ester was produced from hemp oil by transesterification using sodium hydroxide (NaOH). Next, classical optimization study was carried out to determine the effects of catalyst amount, alcohol:oil molar ratio, reaction temperature, and reaction time variables on biodiesel yield. Secondly, the cubic spline mathematical model (CSMM) and polynomial regression mathematical model (PRMM) were applied to the first data of this optimization. Among these optimization methods, the utmost biodiesel yield registered was 96.115% at hemp seed oil (HSO):methanol molar ratio of 5.59:1, catalyst concentration of 0.531 wt%, reaction temperature of 42.5 °C, reaction time of 62.1 min, and agitation intensity of 600 rpm at PRMM. Some vital fuel properties obtained from HSO biodiesels as a result of three optimizations satisfied the EN 14214 standard. The results illustrated that the optimal yields from CSMM and PRMM are 0.765% and 1.065% higher, respectively, according to the maximum efficiency obtained from the classical optimization. The outcomes showed that CSMM and PRMM are cost-effective, easy to handle, and promising new approaches.

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Section: Methodsmentioning

confidence: 99%

The analysis of classical, polynomial regression and cubic spline mathematical models in hemp biodiesel optimization: an experimental comparison

Aslan

2024

Environ Sci Pollut Res

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“…The amount of the obtained biodiesel was weighed and the yield of biodiesel with respect to the amount of castor seed oil used during the reaction was estimated by Eq. (3) [ 29 , 30 , 31 , 32 , 33 ]. Further, the purity of the obtained biodiesel in terms of mono FAME formation was determined using 1 H NMR analysis ( eq.…”

Section: Methodsmentioning

confidence: 99%

Synthesis and characterization of a heterogeneous catalyst from a mixture of waste animal teeth and bone for castor seed oil biodiesel production

Mengistu

Reshad

2022

Heliyon

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“…Design of experiments (DOE) includes various statistical approaches for planning, executing and analysing experiments in a systematic and efficient way. Definitive Screening Design (DSD) [1] is a particularly useful DOE technique in fields such as material engineering [2,3,4], chemistry [5,6] and biology [7,8], where numerous factors are involved in the experiments. The DSD has significant advantages over conventional DOEs.…”

Section: Introductionmentioning

confidence: 99%

DSDApp: An Open-Access Tool for Definitive Screening Design

Hayasaka,

Hänisch,

Cayado

2024

Journal of Open Research Software

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Definitive Screening Design (DSD) is a powerful design of experiment technique employed to find significant factors (parameters) and optimize the factor levels in many experiments of different fields. However, making its design and analyzing the obtained results usually requires expensive software or advance programming knowledge. Therefore, the authors of this work developed a web application, called "DSDApp", with which users can make designs and analyze the results of DSD without statistical and programming efforts. DSDApp can generate DSD tables, make secondorder models, and optimize factor levels to obtain max/min/target output values.

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Optimization of biodiesel production parameters from Prosopis julifera seed using definitive screening design

Cited by 24 publications

References 50 publications

The analysis of classical, polynomial regression and cubic spline mathematical models in hemp biodiesel optimization: an experimental comparison

The analysis of classical, polynomial regression and cubic spline mathematical models in hemp biodiesel optimization: an experimental comparison

Synthesis and characterization of a heterogeneous catalyst from a mixture of waste animal teeth and bone for castor seed oil biodiesel production

DSDApp: An Open-Access Tool for Definitive Screening Design

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