Characterization of physico-chemical properties of biodiesel components using smart data mining approaches

Fuel ◽  
2020 ◽  
Vol 266 ◽  
pp. 117075
Author(s):  
Danial Abooali ◽  
Reza Soleimani ◽  
Saeed Gholamreza-Ravi
Keyword(s):  
Data Mining ◽  
Chemical Properties ◽  
Physico Chemical ◽  
Smart Data

Topological characterization of dendrimer, benzenoid, and nanocone

2018 ◽  
Vol 74 (1-2) ◽  
pp. 35-43
Author(s):  
Wei Gao ◽  
Muhammad Kamran Siddiqui ◽  
Najma Abdul Rehman ◽  
Mehwish Hussain Muhammad
Keyword(s):  
Chemical Properties ◽  
Chemical Compounds ◽  
Topological Indices ◽  
Zagreb Index ◽  
Topological Characterization ◽  
Complex Molecules ◽  
Chemical Structures ◽  
Physico Chemical ◽  
Quantitative Structure Activity Relationships

Abstract Dendrimers are large and complex molecules with very well defined chemical structures. More importantly, dendrimers are highly branched organic macromolecules with successive layers or generations of branch units surrounding a central core. Topological indices are numbers associated with molecular graphs for the purpose of allowing quantitative structure-activity relationships. These topological indices correlate certain physico-chemical properties such as the boiling point, stability, strain energy, and others, of chemical compounds. In this article, we determine hyper-Zagreb index, first multiple Zagreb index, second multiple Zagreb index, and Zagreb polynomials for hetrofunctional dendrimers, triangular benzenoids, and nanocones.

Characterization of residues and evaluation of the physico chemical properties of soybean biodiesel and biodiesel: Diesel blends in different storage conditions

2020 ◽  
Vol 151 ◽  
pp. 454-462 ◽  
Author(s):  
Leandro Fontoura Cavalheiro ◽  
Marcelo Yukio Misutsu ◽  
Rafael Cardoso Rial ◽  
Luíz Henrique Viana ◽  
Lincoln Carlos Silva Oliveira
Keyword(s):  
Chemical Properties ◽  
Storage Conditions ◽  
Physico Chemical ◽  
Soybean Biodiesel

Characterization of Physico-Chemical Properties of Oil/Water Systems: Interfacial Behavior Prediction

2004 ◽  
Vol 22 (9-10) ◽  
pp. 1199-1211 ◽  
Author(s):  
Luciana S. Spinelli ◽  
Dilon L. P. Machado ◽  
Elizabete F. Lucas ◽  
Ana M. T. Louvisse
Keyword(s):  
Chemical Properties ◽  
Water Systems ◽  
Behavior Prediction ◽  
Interfacial Behavior ◽  
Physico Chemical ◽  
Oil Water

Characterization of Spent Catalysts during Hydrodemetallization of Atmosphere Residue

2011 ◽  
Vol 236-238 ◽  
pp. 538-542
Author(s):  
Yong Jun Liu
Keyword(s):  
Chemical Properties ◽  
Analytical Techniques ◽  
Resonance Spectroscopy ◽  
Gravimetric Analysis ◽  
X Ray Diffraction ◽  
Transmission Electron ◽  
Physico Chemical ◽  
Spent Catalysts ◽  
C Nmr

The deactivation behavior of industrial hydrodemetallization catalysts was investigated in the presented work. The main objective of the study is to contribute to a better understanding of the nature of the coke and metal deposition on the used catalysts by applying chemical analysis and various advanced analytical techniques, such as X-ray diffraction analysis (XRD), thermal gravimetric analysis (TGA), transmission electron microscopy (TEM), and solid-state carbon-13 nuclear magnetic resonance spectroscopy (13C NMR). The results are discussed scientifically based on the physico–chemical properties of origin and used catalysts.

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