Adsorptive Desulfurization of Organic Sulfur from Model Fuels by Active Carbon Supported Mn (II): Equilibrium, Kinetics, and Thermodynamics

Abstract

Mn (II)/AC adsorbents were prepared by ultrasonic impregnation. The 2 wt. % Mn/AC showed best adsorptive performance, and the optimal adsorption temperature was 313 K. Benzene, methylbenzene, and naphthalene were used to explore the adsorptive selectivity of Mn/AC, indicating that Mn could enhance the adsorptive capacity but could not improve the adsorptive selectivity. The adsorptive mechanism was mostly like to be π-complex. Adsorptive isotherms and kinetics were investigated, and the parameters were calculated. The R2, RMSE, and AICc were used to assess the optimal model. The results showed that Temkin adsorptive isotherm was more suitable to describe the isothermal data; the MPnO kinetics model was more superior to other kinetic models. The order of reaction was between 1 and 2. The outcome of adsorptive thermodynamics indicated that removal of DBT onto Mn/AC was a spontaneous and exothermic process.

Modulated Synthesis of a Novel Nickel-Based Metal–Organic Framework Composite Material for the Adsorptive Desulfurization of Liquid Fuels

“…The increase in the activity of acid-treated adsorbent when treated by DMF for DBT and 4,6-DMDBT was attributed to the ability of DMF to further increase the number of strong acid sites, and the potential change in the surface charge, as suggested by Li et al, when investigating metal ions adsorption (see Figure ). The adsorption order increased with an increase in the π electron density of the sulfur compounds, which suggests that the interaction may include π–π stacking or that π–H interactions may play an important role in adsorption, as reported by a number of researchers who used activated carbon. ,, …”

“…The adsorption order increased with an increase in the π electron density of the sulfur compounds, which suggests that the interaction may include π−π stacking or that π−H interactions may play an important role in adsorption, as reported by a number of researchers who used activated carbon. 45,48,49 3.2.6. 40% AC-xxH@Ni-BDC Composite with AC Pretreated with Nitric Acid.…”

Insight into Adsorptive Desulfurization by Zeolites: A Machine Learning Exploration

“…53 On the other hand, it is important to note that explanations for some of the results, for example, the high explanatory power of C 0 is intuitively supported by knowledge of the experimental system and empirical data. 18,19,54,55 These pairwise linear models of adsorption capacity versus other predictive variables illustrate the limited power of using single-variable analysis to understand ADS, with a maximum of 35% of the variation explained by C 0 . The violation of assumptions of linearity is problematic; however, some of the results offer a nuanced insight that agrees with our current understanding of the adsorption capacity, and the models could be improved by transformation or the use of a variance stabilizing approach, as reviewed by Lin et al and Morgenthaler and Staudte.…”

“…The literature on the Shapiro-–Wilk test suggests it is not sensitive to outliers; however, its weakness with long-tailed data sets have been documented . On the other hand, it is important to note that explanations for some of the results, for example, the high explanatory power of C 0 is intuitively supported by knowledge of the experimental system and empirical data. ,,, …”

“…The literature on the Shapiro-−Wilk test suggests it is not sensitive to outliers; however, its weakness with long-tailed data sets have been documented 53. On the other hand, it is important to note that explanations for some of the results, for example, the high explanatory power of C 0 is intuitively supported by knowledge of the experimental system and empirical data 18,19,54,55. These pairwise linear models of adsorption capacity versus other predictive variables illustrate the limited power of using single-variable analysis to understand ADS, with a maximum of 35% of the variation explained by C 0 .…”