Evaluation and optimization of two stage sequential in situ transesterification process for fatty acid methyl ester quantification from microalgae

Kumar, Vikram; Muthuraj, Muthusivaramapandian; Palabhanvi, Basavaraj; Ghoshal, Aloke Kumar; Das, Debasish

doi:10.1016/j.renene.2014.02.037

Cited by 70 publications

(12 citation statements)

References 30 publications

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“…However, the cetane number and 405 viscosity of the biodiesel produced by ex-situ transesterification 406 were better compared to those of the in-situ transesterified 407 product. In general, a high viscosity of biodiesel is responsible for 408 reduced flow property, high thickness and engine damage, 409 whereas engine knocking, smoke, odour and ignition delay are 410 indicated by its cetane number [29,30]. Biodiesel obtained from ex- …”

mentioning

confidence: 99%

Simultaneous lipid production and dairy wastewater treatment using Rhodococcus opacus in a batch bioreactor for potential biodiesel application

Kumar

Gupta

Pakshirajan

2015

Journal of Environmental Chemical Engineering

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mentioning

confidence: 99%

Simultaneous lipid production and dairy wastewater treatment using Rhodococcus opacus in a batch bioreactor for potential biodiesel application

Kumar

Gupta

Pakshirajan

2015

Journal of Environmental Chemical Engineering

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“…We observed no significant difference between the samples treated at various sonication times and of MAE, while significantly lower contents of FAME was achieved in the sample which was not treated by sonication. In the ultrasonic process, the microalgal cells wall is being disrupted by shock waves from cavitation bubbles, resulting in liberation of intracellular compounds, so that the catalyst could penetrate easier into the cell and react with the fatty acids.…”

Section: Resultsmentioning

confidence: 99%

Two‐Step Direct Transesterification as a Rapid Method for the Analysis of Fatty Acids in Microalgae Biomass

Safafar

Ljubić

Møller³

et al. 2019

Euro J Lipid Sci & Tech

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A rapid and routine direct transesterification (DT) method for the evaluation of the relative fatty acid composition of microalgae biomass is presented in this paper. The method is optimized on Lake Superior Fish Tissue (SRM 1946), as standard reference material and then the proposed DT procedure is tested on various microalgae species, and the results are compared to a validated microwave assisted esterification (MAE) as a reference (R2 = 0.99). Total DT time is very fast (14 min), while the fatty acid compositions are virtually identical to those prepared by MAE for various species of microalgae as well as fish and krill biomasses. Practical Applications: Microalgae are known as a sustainable source of bioactive compounds such as fatty acids, and their implementation is growing. Application of microalgae biomass as a source of fatty acids requires fast and reliable methods of analysis of fatty acids. The DT method developed in this study can be used as a powerful tool for the monitoring of the variations in fatty acid composition during the cultivation, processing, formulation, and storage. The fatty acid composition of microalgae has been proven as a potential tool for the identification of microalgal taxa. Application of fatty acid composition as a fingerprinting tool requires fast, reliable, and precise methods. A rapid and routine direct transesterification method for the evaluation of the fatty acid composition of microalgae biomass is presented in this paper. The transesterification is being done in two steps as sonication assisting base‐catalyzed methanolysis followed by BF3 methylation reactions. Heating in boiling water bath for 2 min is required at both steps to improve the reactions.

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“…Three-layer feed-forward network architecture was chosen and applied with hyperbolic tangent sigmoid as the transfer function from the input layer to the hidden, and the output layer had a linear transfer function such as pureline. The tansig transfer function for hyden and pureline for the output layer are given by Equations (2) and (3), respectively [56,57]:…”

Section: Development Of Ann Modelsmentioning

confidence: 99%

Optimization of Cerbera manghas Biodiesel Production Using Artificial Neural Networks Integrated with Ant Colony Optimization

et al. 2019

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Optimizing the process parameters of biodiesel production is the key to maximizing biodiesel yields. In this study, artificial neural network models integrated with ant colony optimization were developed to optimize the parameters of the two-step Cerbera manghas biodiesel production process: (1) esterification and (2) transesterification. The parameters of esterification and transesterification processes were optimized to minimize the acid value and maximize the C. manghas biodiesel yield, respectively. There was excellent agreement between the average experimental values and those predicted by the artificial neural network models, indicating their reliability. These models will be useful to predict the optimum process parameters, reducing the trial and error of conventional experimentation. The kinetic study was conducted to understand the mechanism of the transesterification process and, lastly, the model could measure the physicochemical properties of the C. manghas biodiesel.

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Evaluation and optimization of two stage sequential in situ transesterification process for fatty acid methyl ester quantification from microalgae

Cited by 70 publications

References 30 publications

Simultaneous lipid production and dairy wastewater treatment using Rhodococcus opacus in a batch bioreactor for potential biodiesel application

Simultaneous lipid production and dairy wastewater treatment using Rhodococcus opacus in a batch bioreactor for potential biodiesel application

Two‐Step Direct Transesterification as a Rapid Method for the Analysis of Fatty Acids in Microalgae Biomass

Optimization of Cerbera manghas Biodiesel Production Using Artificial Neural Networks Integrated with Ant Colony Optimization

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