Interfacial Phenomena on the Phase Boundary Between Hydrocarbon Systems and Acids

Comprehensive Study of the Action of Corrosion Inhibitors Based on Quaternary Ammonium Compounds in Solutions of Hydrochloric and Sulfamic Acids

“…The research results presented in Figure 3 show that an increase in the concentration of sulfamic acid led to a decrease in the corrosion rate, which is also consistent with the data obtained in [27]. This can be explained by the activity of the acid itself due to the possibility of its existence in two forms [33]: neutral and zwitterionic, with surface activity, as well as the positive effect of sulfamic acid on the effectiveness of surfactants [28].…”

“…the CMC value was reduced to 0.2% wt. This corresponds to the data obtained in [27,28] since the ability to reduce the critical concentration of surfactant micelle formation with an increase in the acid concentration is considered to be a well-known feature of sulfamic acid [29]. This is explained by the tendency of the sulfamate anion to "salting out the surfactant" and thereby reduce the CMC and the interfacial tension of surfactant solutions [30].…”

Physico-chemical properties and research of acids contained in oils of Uzbekistan

“…Currently, the physicochemical properties of the fuel, such as viscosity and elemental composition, comply with ASTM D4814 for gasoline, ASTM D975 for gasoline diesel and ASTM D7467 for biodiesel blends. In our previous work, we proposed the use of chemometric methods in combination with a library of analytical profiles (eg chromatograms) for specific fuels [1][2][3][4]. The suitability of a new fuel can be assessed by comparing its profile with existing fuels in the library.…”

“…Here we propose to use the same reasoning to develop a regression model for the physicochemical properties of the fuel. Relevant properties are measured for the substances in the fuel library and the regression model fits these measurements [3][4][5][6]. This model can then be used to predict the physicochemical properties of any other fuel.…”

“…Point, recovery point, 95% boiling point, near infrared (NIR) spectroscopy flash point, and sulfur. Pinto et al used hydrogen nuclear magnetic resonance spectroscopy (H-1 NMR), principal component analysis (PCA), and soft independent class analogy modeling (SIMCA) to distinguish between conventional and additive gasolines [1][2][3][4]8]. Morales-Medina and Guzmán used principal components regression and PLS to predict the viscosity and density of crude oil.…”