presence of the synthesized nano-adsorbents. The fitting curves
and the computed kinetic parameters were presented in
Fig. 6
and
Table 3
, respectively. The conformity between experimen-
tal data and the model predicted values was expressed by the
correlation coefficients R
2
and the comparison of calculated
with experimental adsorption capacities. The pseudo-first-
order model (
Fig. 7
a) yielded relatively low R
2
values (0.89–
0.92). Hence it could not describe the kinetic data in this case.
It is reported that the pseudo-first-order equation does not fit
well with the whole range of contact time in the adsorption
experiments and it remains generally applicable over the initial
stage of the adsorption processes (
Mazengarb and Roberts,
2009
). However, following the pseudo-second-order data
(
Fig. 7
b), excellent linearity was observed. The correlation
coefficients are greater than 0.99 associated with the decrease
of the rate constant k2 with increasing initial dye concentra-
tion. Moreover, the registered experimental sorption capacities
are close to those calculated theoretically. These trends suggest
that the chemi-sorption was so significant (
Gucek et al., 2005
).
Regarding the intraparticle diffusion data (
Fig. 7
d), the plots
were deviated from the origin indicating that this equation
was not the sole rate-controlling step but more than one
kinetic process was involved in the adsorption process (
Ho
and McKay, 1998
).
3.4. Isotherms study and thermodynamic parameters
determination
The study of the adsorption isotherms remains a useful strat-
egy to describe both the relationship between the adsorbate
concentration in the solution and the solid adsorbent at a con-
stant temperature and the design adsorption systems. In this
study,
Langmuir,
Freundlich,
Temkin,
and
Dubinin–
Fig. 5
(a) XRD patterns, and (b) TGA curves of the synthesized
copper nanoparticles using cynomoriumcoccineum extract.
0
1
2
3
4
5
6
1
2
3
4
5
6
7
8
9 10 11 12
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