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Deep Denitrogenation of Model Diesel Fuel Using Ni‐doped Mesoporous Carbon: Synthesis Route and Adsorption Study
Author(s) -
Delkhosh Arvin Saffarian,
Vahid Amir,
Baniyaghoob Sahar,
SaberTehrani Mohammad,
Mohammdi Roozbeh Malek
Publication year - 2021
Publication title -
chemistryselect
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 34
ISSN - 2365-6549
DOI - 10.1002/slct.202004522
Subject(s) - freundlich equation , adsorption , materials science , mesoporous material , langmuir , carbon black , desorption , analytical chemistry (journal) , chemical engineering , langmuir adsorption model , nickel , nuclear chemistry , chemistry , organic chemistry , composite material , metallurgy , catalysis , natural rubber , engineering
Nickel‐doped mesoporous carbon (MC) materials with 1, 4, and 7 wt. % nickel/MC, were synthesized and utilized for the elimination of indole, as representative of nitrogen‐containing compounds, from a model diesel fuel. Different instrumental techniques, including Fourier‐transform infrared (FT‐IR) spectroscopy, X‐Ray diffraction (XRD), N 2 adsorption‐desorption analyses, field emission scanning electron microscopy (FE‐SEM), energy‐dispersive X‐ray spectroscopy (EDXS), and transmission electron microscopy (TEM) were used to characterize the synthesized Ni‐doped mesoporous carbons. The XRD and N 2 adsorption‐desorption results revealed that all the nickel‐modified materials had ordered hexagonal mesostructures. Response surface methodology coupled with a three‐variable, three‐level Box‐Behnken design (BBD) involving three center points and one response was employed for evaluating the influence of the three input parameters, namely temperature (A), contact time (B), and Ni content (C) on the adsorption yield. The optimum removal efficiency (96.5 %) was obtained at 42 °C, 1 wt. % of Ni loading, and 55 min contact time; also, possible adsorption mechanisms might be due to van der Waals interaction, H‐bonding, and π‐complexation. Additionally, the equilibrium data were analyzed using Langmuir, Freundlich, and Temkin isotherm models, and the Freundlich isotherm model showed a better fit to experimental data ( R 2 =0.9978).