A novel soluble nano-catalysts in diesel–biodiesel fuel blends to improve diesel engines performance and reduce exhaust emissions

Machine learning technology in biodiesel research: A review

The world energy crisis and increased greenhouse gas emissions have driven the search for alternative and environmentally friendly renewable energy sources. According to life cycle analysis, microalgae biofuel is identified as one of the major renewable energy sources for sustainable development, with potential to replace the fossil-based fuels. Microalgae biofuel was devoid of the major drawbacks associated with oil crops and lignocelluloses-based biofuels. Algae-based biofuels are technically and economically viable and cost competitive, require no additional lands, require minimal water use, and mitigate atmospheric CO2. However, commercial production of microalgae biodiesel is still not feasible due to the low biomass concentration and costly downstream processes. The viability of microalgae biodiesel production can be achieved by designing advanced photobioreactors, developing low cost technologies for biomass harvesting, drying, and oil extraction. Commercial production can also be accomplished by improving the genetic engineering strategies to control environmental stress conditions and by engineering metabolic pathways for high lipid production. In addition, new emerging technologies such as algal-bacterial interactions for enhancement of microalgae growth and lipid production are also explored. This review focuses mainly on the problems encountered in the commercial production of microalgae biofuels and the possible techniques to overcome these difficulties.

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Microalgae as sustainable renewable energy feedstock for biofuel production.

Harvesting and pre-treatment of microalgae cultivated in wastewater for biodiesel production: A review

Biodiesel is mainly produced by transesterification reaction between lipid feedstock such as vegetable oil or algal oil and alcohol. Considering the depletion of conventional fossil fuel, biodiesel is gaining more attention as a renewable, sustainable and environmental friendly fuel. Heterogeneous catalysts are mostly applied in transesterification reaction due to many advantages such as easy catalyst separation and reusability, improved selectivity, reducing process stages and cost effective. Biodiesel process faces various problems related to immiscible nature of oil and alcohol leads to poor mass transfer rate. This requires long reaction time, higher catalyst consumption, higher methanol-oil molar ratio, high temperature and high stirring rate. This review discusses that the latest advances in ultrasonic assist transesterification reaction with the use of heterogeneous catalysts to produce biodiesel with cost effective. Ultrasonic energy can emulsify the reactants to reduce the catalyst requirement, methanol-oil ratio, reaction time and reaction temperature.

Recent developments for biodiesel production by ultrasonic assist transesterification using different heterogeneous catalyst: A review

Biocomputing has moved into central position in molecular biology research. Enormous improvements in genetic engineering have led to the accumulation of a vast amount of biological information. With the advent of this extensive repertoire of raw sequence information, the next major challenge for a modern researcher is to interpret this biological information. Molecular Evolutionary Genetic Analysis (MEGA) is bio-computational software to fill the vacuum between data development and analysis. In this paper, an attempt to review the evolution of MEGA software, working and application has been made. Moreover, data analysis, implementation and advantages over other bioinformatics software have been discussed systematically.

MEGA biocentric software for sequence and phylogenetic analysis: a review

Biodiesel is an alternative source of fuel that can be synthesized from edible, non-edible and waste oils through transesterification. Firstly Transesterification reaction of Jatropha Curcas oil with butanol in the ratio of 1:25 investigated by using of sodium hydroxide catalyst with mixing intensity of 250 rpm in isothermal batch reactor. Secondly the fuzzy model of the temperature is developed. Performance was evaluated by comparing fuzzy model with the batch kinetic data. Fuzzy models were developed using adaptive neurofuzzy inference system (ANFIS). © 2011 BCREC UNDIP. All rights reserved ( Received: 27th January 2011, Revised: 13rd February 2011; Accepted: 16th February 2011 ) [How to Cite : V.K. Sohpal, A. Singh, A. Dey. (2011). Fuzzy Modeling to Evaluate the Effect of Temperature on Batch Transesterification of Jatropha Curcas for Biodiesel Production. Bulletin of Chemical Reaction Engineering and Catalysis , 6(1): 31-38. doi:10.9767/bcrec.6.1.816.31-38 ] [How to Link / DOI: http://dx.doi.org/10.9767/bcrec.6.1.816.31-38 || or local:  http://ejournal.undip.ac.id/index.php/bcrec/article/view/816 ] | View in

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Fuzzy Modeling to Evaluate the Effect of Temperature on Batch Transesterification of Jatropha Curcas for Biodiesel Production

Article history: Transesterification of Jatropha curcus for biodiesel production is a kinetic control process, which is complex in nature and controlled by temperature, the molar ratio, mixing intensity and catalyst process parameters. A precise choice of catalyst is required to improve the rate of transesterification and to simulate the kinetic study in a batch reactor. The present paper uses an Adaptive Neuro-Fuzzy Inference System (ANFIS) approach to model and simulate the butyl ester production using alkaline catalyst (NaOH). The amounts of catalyst and time for reaction have been used as the model's input parameters. The model is a combination of fuzzy inference and artificial neural network, including a set of fuzzy rules which have been developed directly from experimental data. The proposed modeling approach has been verified by comparing the expected results with the practical results which were observed and obtained through a batch reactor operation. The application of the ANFIS test shows which amount of catalyst predicted by the proposed model is suitable and in compliance with the experimental values at 0.5% level of significance.

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Optimization of alkali catalyst for transesterification of jatropha curcus using adaptive neuro-fuzzy modeling

Molecular phylogenetic is a fundamental aspect of evolutionary analysis and depends on distance & character based methods. In this paper, we compare the viral capsid proteins of HHV to analyze the relationship among proteins using substitution models, phylogenetic model with exhaustive search and ME techniques. The effect of Poisson correction with shape parameter on NJ and UPGMA trees also analyze. We show by extensive computer simulation that phylogenetic tree is the reflection of substitution distance. The effect of max-mini branch & bound method and minimini heuristic model and log likelihood associated with character based tree also discussed. We applied ML and MP for perfectly analysis of proteins relationship. We conclude that substitution models, shape parameter, search level and SBL have a critical role to reconstruct phylogenetic tree. Molecular clock study shows that χ2 value is higher in closely as compare distant related proteins.

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Computational Analysis of Distance and Character based Phylogenetic Tree for Capsid Proteins of Human Herpes Virus

The difference between non-synonymous (dN) to synonymous (dS) changes between sequence is computed to assay the direction of evolution. In this paper we compare closely related strains HHV species, codon-by-codon using maximum likelihood analysis and the divergence time of the two sequences. We demonstrate that a substitution model provides evolution hypothesis when comparing closely related species. The effect of transition/transversion ratio and Fischer exact test are on dN-dS (p-distance), and the problems associated with these concepts for HHV, are also discussed. We applied methods on sequence capsid protein of the HHV-1 and HHV-2 for detailed analyses of capsid structures provides the best evidence for an evolution. We conclude that substitution models, dN-dS, divergence time and transition/transversion have critical role to study the evolution.

https://www.longdom.org/open-access/comparative-analysis-of-non-synonymous-and-synonymous-substitution-of-capsid-proteins-of-human-herpes-virus-jpb.1000231.pdf

Vipan Kumar Sohpal

Papers

MEGA biocentric software for sequence and phylogenetic analysis: a review

Fuzzy Modeling to Evaluate the Effect of Temperature on Batch Transesterification of Jatropha Curcas for Biodiesel Production

Optimization of alkali catalyst for transesterification of jatropha curcus using adaptive neuro-fuzzy modeling

Computational Analysis of Distance and Character based Phylogenetic Tree for Capsid Proteins of Human Herpes Virus

Comparative Analysis of Non-Synonymous and Synonymous Substitution of Capsid Proteins of Human Herpes Virus