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In liquid phase adsorption process, molecules,
ions or atoms in a liquid is diffused to the
surface of a solid, where they bond with the
solid surface through physical attractive
forces, ion exchange, and chemical binding
(Rangabhashiyam et al., 2013).
London, van der waals and electrostatic forces
Covalent bonding, ionic bonding
Physisorption
Chemisorption
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The solid, which is insoluble in the liquid, is
the adsorbent. The components being
adsorbed are called solutes in the liquid and
form the adsorbate upon adsorption on the
solid.
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Micropore < 2 nm
Mesopore 2 < 50 nm
Macropore > 50 nm
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Plate 2.1 SEM image of activated carbon produced from banana
frond (Foo et al., 2013)
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Commercial adsorbercontinuous
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Physical properties of adsorbents
Different forms: Granules, beads, small pellet.
Different sizes: 0.112 mm
Porous materials
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MOF
Graphene???Ordered
Mesoporous
Carbon
2000sHydrogel
Aerogel
XerogelCryogelSilica
Clay
Bio
1900sActivated
Carbon
1880s
Char3000BC
Figure 1: Materials evolution map
Template CarbonizationKyotani, 1984
MCM-n family - Kresge, 1992
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Table 2.3 Methylene blue adsorption capacity on various sorbent media
Adsorbents Adsorption capacity
(mg.g-1)
Reference
Diatomite-templated carbon
505.10 (Liu et al., 2013)
Carboxylic acid functionalized
mesoporous silica
373 (Chang et al., 2013)
Graphene 204.08 (Liu et al., 2012b)
Graphene/magnetite composite 43.82 (Ai et al., 2011)
Rejected tea 156.00 (Nasuha et al., 2010)
Activated clay minerals 558.00 (El Mouzdahir et al.,
2010)
Vetiver root activated carbon 526.00 (Altenor et al., 2009)
CMK-3 ordered mesoporous
carbon
207.90 (Asouhidou et al., 2009)
H2SO4modified activated carbon 16.43 (Karagz et al., 2008)
Norit SA3 Activated carbon 91.00 (Yener et al., 2008)
Rattan dust activated carbon 294.12 (Hameed et al., 2007a)
Algae Gelidium 104.00 (Vilar et al., 2007)
Activated charcoal 519.75 (Iqbal and Ashiq, 2007)SCHOOL OF CHEMICAL ENGINEERING,UNIVERSITI SAINS MALAYSIA
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Equilibrium Curve
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Linear relationship is described by Henrys
Law. q = Kc
Freundlich isothermheterolayer adsorption
Langmuir isothermmonolayer adsorption
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According to Crini, comprehensive study on adsorption
isotherms is very important for designing and optimizing
batch adsorption process because the isotherms representthe behaviour of the adsorbates when interacted with the
adsorbents (Crini, 2008).
The adsorption isotherm provides an important correlation
between the mass of adsorbate adsorbed per unit weight ofadsorbent with the liquid-phase equilibrium concentration of
the adsorbate (Lata et al., 2007).
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Two-Parameter Isotherms
Langmuir model applies to homogeneous adsorption,which each molecule possess constant enthalpies andsorption activation energy and postulates notransmigration of the adsorbate in the plane of the
adsorbent surface (Prez-Marn et al., 2007, Kundu andGupta, 2006).
The model assumes monolayer adsorption where oneadsorbate can only attached on the specific identical
sites, with no lateral interaction and steric hindrancebetween the adsorbed molecules, even on adjacentsites (Vijayaraghavan et al., 2006).
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Freundlich has a practical application in
describing the non-ideal and reversibleadsorption of heterogoneous sytem.
This empirical model can be applied to
multilayer adsorption, with non-uniform
distribution energy on the adsorbent surface.
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The empirical equation of Freundlich is given in Equation 2.3
as:
(2.3)
where KF is the Freundlich constant (L.mg-1), and 1/n is the
heterogeneity factor.
1/n is a measure of the deviation from linearity of theadsorption between 0 and 1. If the value of 1/nis equal to 1,
the adsorption is linearreduce to HenrysLaw.
If 1/n < 1, this implies for physisorption; if 1/n > 1, this
indicates for chemisorption.
The more heterogeneous the surface, the closer 1/nvalue is
to 0.
n
eFe CKq /1
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Tempkin and Pyzhev takes into consideration
that the heat of adsorption of all molecules in
the layer decreases linearly with coverage due
to the effects of indirect adsorbate/adsorbentinteractions (Hosseini-Bandegharaei et al.,
2013). The non-linear form of Tempkin
equation is given as (Equation 2.4):(2.4)
)( eTT
e CKLnb
RTq
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Tempkin constants, KTand bT can be determined by
plotting a non-linear curve; qeversus Ce. R and T are
the universal gas constant (8.314 J.(K.mol)-1). and
temperature (K), respectively. KT is the equilibriumbinding constant (L.mol-1) corresponding to the
maximum binding energy and subsequently,
constant BTrelated to the heat of adsorption can be
solved through the following Equation 2.5:(2.5)
T
Tb
RTB
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Dubinin-Raduskevich (D-R) is one of the isotherms that widely
used to characterize liquid-phase adsorption process. It is
originally developed to emulate the experimental data ofsubcriticals vapors adsorption onto micropore solids based on
pore filling mechanism (Dubinin and Radushkevich, 1947).
The model does not assume a heterogeneous surface and
neither constant adsorption potential. The non-linear form of
D-R equation is presented as follow (Equation 2.6):
))]1
1ln([exp( 2
e
DDe
C
RTBqq (2.6)
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The constant, BD is corresponded to the mean free energy, E
of sorption/mole of the adsorbate as it is migrated to the
surface of the solid from infinitedistance in the solution and itcan be solved using the following relationship (Ho et al.,
2002). E can be calculated according to the Equation 2.7 as
follow:
(2.7)
D-R model is useful to distinguish between physical or
adsorption process based on the amount of calculated E.
Amount of E less than 8 kJ.mol-1indicates for possible physicaladsorption while 8-16 kJ.mol-1 could be a sign for
chemisorption (Asgari et al., 2013)
DBE 2
1
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Three-parameter Isotherms
Sips
Koble-Corrigan
Toth Redlich-Peterson
Etc.
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In class example
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Langmuir Plot
y = 0.0148x + 9.6511
R = 0.7841
0
5
10
15
20
25
0 200 400 600 800 1000
1/q
1/c
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Freundlich Plot
y = 0.2184x - 0.7183
R = 0.9941
-1.6
-1.4
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
-3.5 -3 -2.5 -2 -1.5 -1 -0.5 0
Logq
Log C
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Batch Adsorption
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In class example
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Column Adsorption
Fixed bed column is one of the most widely
employed method in the field of liquid and gas
adsorption.
The technique is desirable due to:
continuous nature of the process,
high efficiency adsorbent utilization,
less number of equipment,
smaller operation area and
cost savings.
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The performance and characteristics of
column operation can be determined by
analyzing the breakthrough curve.
The typical breakthrough curve as the ratio of
the effluent concentration (Ce) to the influent
concentration (Ci) versus time or throughput
volume is shown in Figure 2.7.
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Figure 2.7: Typical breakthrough profiles in column operation
(Barros et al., 2013)
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After a lapse of time, a breakthrough will occur at time, tb
with determined breakthrough concentration, Cb and the
effluent concentration continue to increase till reaching
saturation at time, ts.
Saturation point is a condition where the effluent
concentration becomes equal to the feed concentration
increases with time.
The breakthrough time is normally assumed when
Cb/C0reached 0.1; while the saturation point is defined ideally
when Cb/C0reach 1.0 (generally at 0.90-0.95) (Asberry et al.,
2014, Unuabonah et al., 2010, Singh et al., 2009).
However, under certain condition, some researchers wouldalso consider breakthrough point of Cb/C0 = 0.5(Wu et al.,
2012)
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Scale Up Adsorption Column
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In Class Example 3
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0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 1 2 3 4 5 6 7
c/c0
t, hourtb td
cb
cd
A1 A2
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Commercial operation