Diesel Biofuels - Preparation, Characterization and Testing

Dusescu, Cristina; Borcea, Anca; Matei, Vasile; Popa, Ion; Rădulescu, Irina Gabriela

doi:10.37358/rc.08.11.2018

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…A chemical modeling study on the molecules hyperforin, naringin, and naringenin, as well as the drug imatinib, was performed, using the HyperChem software [18][19][20][21]. The investigation of the binding of these molecules to the active site of the receptor was performed using HEX software [22].…”

Section: Methodsmentioning

confidence: 99%

Interaction Between Food Supplements and Drugs Using Molecular Docking

AMZOIU,

CHELU,

POPESCU

et al. 2023

J. Sci. Arts

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This study aims to reveal significant interactions between dietary supplements and pharmaceuticals (Imatinib) with the CYP3A4 receptor using the HEX 8.0 docking program. Binding energy serves as a metric for gauging the strength and stability of these interactions. In the case of Imatinib, a robust connection with CYP3A4 is observed, while associations with Naringin and Naringenin result in decreased binding energy, signifying heightened drug metabolism in the presence of these supplements. These findings underscore the critical importance of comprehending food-drug interactions and the potential adjustments in systemic bioavailability and drug pharmacokinetics. Interactions with CYP3A4 can significantly impact treatment efficacy and safety. Factors such as dietary habits and supplement intake can influence these interactions. Consequently, a comprehensive understanding and vigilant monitoring of these dynamics are imperative to ensure appropriate and safe therapeutic regimens.

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Section: Methodsmentioning

confidence: 99%

Interaction Between Food Supplements and Drugs Using Molecular Docking

AMZOIU,

CHELU,

POPESCU

et al. 2023

J. Sci. Arts

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“…Because of the fact that both algorithms were implemented with the help of the same software, the mathematical model will not suffer substantial changes. Judging by the previous experiments as well as by the numerous scientific articles [10][11][12][13][14], in which the influence of biodiesel on the final blend has been studied, it was chosen to consider that the properties are additive. The equations of the mathematical model are presented as follows: formula (1) represents the function that must be minimized.…”

Section: Elaborating the Mathematical Modelmentioning

confidence: 99%

“…The condition corresponding to the wanted quantity, formula (2), being the equality, will be represented separately, in matrices Aeq and Beq, their names being derived from equality. The two matrices are illustrated in formula (10). (10) where Aeq= matrix associated with the left members of equality;…”

Section: Elaborating the Mathematical Modelmentioning

confidence: 99%

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Comparative Study of Different Optimization Algorithms Used for Obtaining Diesel-Biodiesel Blends

Sandru¹,

Onutu²

2019

Rev. Chim.

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The purpose of this paper is to compare two different optimization methods, used in acquiring diesel-biodiesel blends. There were used five types of samples in order to enable the optimization of the final blend: there were chosen two types of hydrofined diesel fuel and there were synthesized three original types of biodiesel. The first optimization method used, dual simplex, is a classical method being used in solving linear programming problems. The second optimization method, the genetic algorithms, falls in the type of artificial intelligence algorithms, being an evolutionary method used when the problem requires searching an optimal solution in a great variety of valid solutions.

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“…Several authors [6][7][8][9] considered that density and viscosity are important properties of biodiesel. The developments of studies and mathematical models that can describe the influence of biodiesel proprieties present a great interest for the future.…”

Section: Introductionmentioning

confidence: 99%

Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil

Matei¹,

Doicin²,

Cursaru³

et al. 2020

Rev. Chim.

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Biodiesel plays an important role in reducing the dependency of petroleum fuels and reduce environmental pollution. Biodiesel has attracted attention as a renewable, non-toxic, and biodegradable fuel. In the past years, researchers have expanded their work to new methods of obtaining biodiesel. In this work, biodiesel production using soybean oil from the industry is described. Biodiesel was further analyzed and compared with the EN biodiesel specifications. The characterization of biodiesel was performed in order to obtain density, viscosity and flash point. Moreover, the study was focused in optimized the biodiesel yield, obtain from soybean oil using Artificial Neural Networks (ANN). The variable parameters were molar ratio between methanol and oil, reaction temperature and catalyst quantity. The paper concludes that the ANN can be successfully used to optimize the biodiesel yield.

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Diesel Biofuels - Preparation, Characterization and Testing

Cited by 3 publications

References 7 publications

Interaction Between Food Supplements and Drugs Using Molecular Docking

Interaction Between Food Supplements and Drugs Using Molecular Docking

Comparative Study of Different Optimization Algorithms Used for Obtaining Diesel-Biodiesel Blends

Yield Optimization Using Artificial Neural Networks in Biodiesel Production from Soybean Oil

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