Adsorption studies on magnesium ferrite-bentonite nanocomposite by linear and nonlinear modeling
Loading...
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Punjab Agricultural University, Ludhiana
Abstract
This study envisages the adsorption and photodegradation studies on magnesium ferrite
(MgFe2O4)-bentonite nanocomposite by linear and nonlinear modeling, using Cd (II) and
martius yellow as model pollutants. The accumulation of MgFe2O4 nanoparticles (NPs) on the
bentonite was affirmed by XRD, FT-IR, TEM and SEM-EDS studies. The linear and
nonlinear regression methods were employed to accurately predict the adsorption and
photodegradation mechanisms. The statistical parameters were evaluated for determining the
best-fitted model. Linear type-II Langmuir equation best represented the equilibrium data for
Cd (II) ions and martius yellow, which indicated monolayered and physical adsorption.
Nanocomposite showed the maximum adsorption capacities of 1073.3 mg g-1 and 789.6 mg g1
for Cd (II) and martius yellow, respectively. The linear pseudo-second-order (type-I) kinetic
model gave best-fit for both the adsorption and photodegradation, which specified the
interaction of the Cd (II) and martius yellow with two active sites of the adsorbent. The
synergistic effect for martius yellow degradation was observed by Cd (II) adsorbed
nanocomposite. Degradation pathway was predicted on the basis of quenching studies and
GCMS analysis. Thermodynamic studies revealed the endothermic and spontaneous nature of
adsorption process. The reusability studies of nanocomposite signified its effectiveness. The
present studies demonstrated that among linear and nonlinear modeling, the former fitted well
for both adsorption and kinetic studies.
Description
Keywords
Citation
Khushboo (2021). Adsorption studies on magnesium ferrite-bentonite nanocomposite by linear and nonlinear modeling (Unpublished M.Sc. thesis). Punjab Agricultural University, Ludhiana, Punjab, India.