Chemosphere 60 (2005) 1095–1102
www.elsevier.com/locate/chemosphere
Sorption of pentachlorophenol on pine bark
I. Brás
a,b
, L. Lemos b, A. Alves
a,*
, M.F.R. Pereira
c,*
a
c
LEPAE—Laboratório de Engenharia de Processos, Ambiente e Energia, Departamento de Engenharia Quı´mica,
Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
b
Departamento de Engenharia do Ambiente, Escola Superior de Tecnologia de Viseu, Instituto Politécnico de Viseu, Portugal
LCM—Laboratório de Catálise e Materiais, Departamento de Engenharia Quı´mica, Faculdade de Engenharia da Universidade do
Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Received 30 August 2004; received in revised form 21 December 2004; accepted 24 December 2004
Available online 5 February 2005
Abstract
The minimization of pentachlorophenol (PCP) transport in the environment driven by industrial wastewater discharges can be accomplished by sorption in natural, available and low cost by-products like pine bark. Taking into
account that PCP is a chemical which behaviour is highly dominated by the surrounding features, this work intended
to evaluate the sorption kinetics and equilibrium parameters according to the pH and temperature as well as the pine
bark particle size. The PCP uptake by pine bark showed to be faster in the initial phase followed by a slower process,
being 24 h the suitably time to reach the sorption equilibrium in the range of pH studied. The neutral PCP species
showed to have higher binding capacity to pine bark than the anionic PCP, which was reflected in a decrease in the
distribution coefficient (Kd) of the linear sorption isotherm with the increase of solution pH from 2 to 7. On the other
hand, between 10 C and 35 C, the temperature does not seem to play a significant role in the PCP sorption by pine
bark, while the sorbent size is a key parameter to enhance the overall process.
2005 Elsevier Ltd. All rights reserved.
Keywords: Pentachlorophenol (PCP); Pine bark; Sorption equilibrium; Sorption kinetics; Hydrophobic ionizable organic compound
(HIOC)
1. Introduction
Several substances like pesticides are introduced in
the environment with a specific intention but usually
have unwanted side effects related to the amounts applied and/or their properties. Some pesticides, classified
as persistent organic pollutants (POPs) are typically
*
Corresponding authors. Tel.: +351 225 081 883; fax: +351
225 081 449 (A. Alves).
E-mail addresses:
[email protected] (A. Alves), fpereira@
fe.up.pt (M.F.R. Pereira).
hydrophobic and lipophilic, and therefore they accumulate in the fatty tissues of living animals (Jones and
Voogt, 1999) and they have a long half-life in soils, sediments, air, or biota. Although Pentachlorophenol (PCP)
does not belong to the primarily elaborated list of 12
POPs, it is considered a persistent compound in the environment. PCP is produced with the aim of preserve timber and lumber but also for a wide variety of agriculture
and industrial application as fungicide, bactericide, herbicide, molluscicide, algicide and insecticide (Crosby,
1981). Although PCP utilization had declined, restricted
discharges to the environment are still imposed by European and Portuguese legislation, which define the quality
0045-6535/$ - see front matter 2005 Elsevier Ltd. All rights reserved.
doi:10.1016/j.chemosphere.2004.12.064
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I. Brás et al. / Chemosphere 60 (2005) 1095–1102
goal for inland surface, estuary, internal coastal and
territorial waters, a PCP concentration of less than
2 lg l1 (Council Directive 86/280/CEE, 1986).
Several authors studied the fate of pesticides in the
environment and methodologies to reduce their negative
impact in human and other animals life quality. Soils are
often referred as an important medium to minimize the
mobility of pesticides due to the affinity of pesticides for
the organic matter coupled to the soils (Brownawell
et al., 1990; Murphy and Zachara, 1995). In order to increase the prevention of the environment contamination,
particularly driven by wastewater, some methods are referred in the literature like biodegradation (Kontchou
and Gschwind, 1999), co-precipitation (Ying et al.,
1988) and oxidation (Robert and Malato, 2002). Our
interest encloses the application of sorption to reduce
the PCP release into the environment. Some of the sorption studies that had been conducted to sorb PCP took
place in materials like biomass (Bell and Tsezos, 1987;
Wang et al., 2000), organoclays (Ake et al., 2003), activated carbon (Mollah and Robinson, 1996) or carbonized bark (Edgehill and Lu, 1998).
The application of lignocellulosic materials in the
wastewater treatment was object of interest for several
authors owing to their natural abundance in the environment or because they are wastes from industrial activities.
Although pine bark fulfils these requests its potential has
been underestimated. A few studies were published suggesting good efficiencies in heavy metals removal from
wastewater by pine bark (Vazquez et al., 2002) owing
to its exchangeable surface cations. Regarding to the
sorption of organic pollutants by pine bark, Brás et al.
(1999) and Ratola et al. (2003) reported interesting results
for organochlorine pesticides, while Haussard et al.
(2003) and Chiu et al. (2003) attained acceptable sorption
for hydrocarbons. In integrated systems, Lens et al.
(1994) used pine bark and other natural materials in percolating columns to reduce suspended solids, chemical
oxygen demand, biological oxygen demand and nitrogen
in a domestic wastewater, while Diaz et al. (2003) reported the utilization of pine bark as a source of organic
carbon to denitrifying bacteria in open air batch reactors.
Keeping in mind that the kinetics and the extent of
sorption in the equilibrium are dependent of the physical
and chemical characteristics of the sorbate, the sorbent
and the experimental system and that previous results
pointed to the effectiveness of pine bark to retain hydrophobic compounds, the present study intends to evaluate the effectiveness of pine bark to sorb PCP from
contaminated water as well as all the parameters that
may improve this goal. In order to fulfil these intents
the pine bark surface charge was evaluated along with
its textural properties. Kinetic studies and equilibrium
sorption isotherms were performed at different solution
acidities and temperatures, and the particle size was also
evaluated in the sorption extent.
2. Experimental
2.1. Pine bark preparation and characterization
The pine bark was collected in a sawmill in the north
of Portugal. After grinding it in a Reischt mill and being
sieved in Endecotts EFL 2000/1 siever the 0.15–0.45 mm
and 0.60–1.18 mm fractions were separated and dried at
105 C ± 2 C for 48 h in the oven. The textural characterization was performed by mercury porosimetry with a
Quantachrome Poremaster-60 and by helium picnometry. The chemical analysis of pine bark was performed
by proximate analysis with a Mettler TA 4000 thermal
analyzer, by elemental analysis with a Carlo Erba 1108
Elemental Analyser and the determination of surface
charge was performed by pH drift tests described elsewhere (Faria et al., 2004). The pine bark surface has
an acidic behaviour and acts as a buffer offering resistance to changes in pH from pH 4 to 10. The overall obtained properties of pine bark are shown in Table 1.
2.2. Reagents
PCP was obtained from Supelco (Cat N-4-8555). Sodium sulfate anhydrous p.a. and sulfuric acid 95–97%
p.a. were purchased to Merck. The aqueous PCP solutions of various concentrations were prepared from an
intermediate 5 mg l1 PCP solution made from a
2440 mg l1 stock solution in NaOH 0.1 N. The calibration standards were done by dilution of the intermediate
stock solution with distilled and deionized water at pH 2
saturated with Na2SO4. The pH adjustment was carried
out with H2SO4 5 N or NaOH 1 N as needed. The buffer
solutions were made with KH2PO4–K2HPO4 (Merck)
with a total phosphate concentration of 0.01 M.
2.3. Sorption studies
The equilibrium sorption experiments of PCP between the aqueous phase and the solid pine bark were
performed in closed Erlenmyer flasks inside a shaker
with a water bath at fixed temperature. The required
equilibrium time of 24 h was previously determined in
Table 1
Properties of pine bark
Values
Real density (g cm3)
Pore volume (cm3 g1)
Surface area (m2 g1)
Average pore diameter (lm)
Organic matter (wt%, dry basis)
Ashes (wt%, dry basis)
foc (fraction of organic carbon)
1.34
0.10
0.74
2.990–0.101
99.63
0.37
0.55
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I. Brás et al. / Chemosphere 60 (2005) 1095–1102
2.4. PCP analysis
For PCP analysis, a 85-lm PA fiber (Supelco, Cat.
No. PN 57304) and the respective SPME sampling manual holder (Supelco, Cat. No. 57330-U) were employed.
The fiber was previously conditioned at 300 C for 2 h in
the gas chromatograph injection port. For the extraction
of PCP, 2 ml of the standard solution or sample at pH 2
saturated with Na2SO4 were measured into a 4 ml amber
vial and the fiber was immersed in the solution for
30 min, at room temperature (25 ± 2 C), with rapid
and constant stirring. After this period, the fiber was removed and placed in the gas chromatograph (GC) injection port for 3 min.
The quantification of PCP was attained with an
Agilent 6890 Series GC equipped with a 5973 N Series
mass spectrophotometer (MS) selective detector in
SIM mode acquiring fragments with 264, 266 and
268 atomic mass unit (amu). The interface temperature
was 160 C and the ion source (electron ionization) was
set at 230 C with electron energy of 69.9 eV, whilst the
quadrupole mass filter was kept at 150 C. The capillary column was a Hewlett–Packard 5MS (30 m ·
0.25 mm · 0.25 lm) (cat. HP 19091S-433). Helium
(99.9990% purity) was the carrier gas, at a constant
1 ml min1 flow through the column. The oven was initially set at 80 C, and then raised to 260 C at a rate
of 15 C min1. The injector was in splitless mode at
250 C, closed for 3 min before purging with helium
at 20 ml min1. The validation parameters obtained
with this analytical technique were previously reported
(Brás et al., 2004).
3. Results and discussion
3.1. Sorption kinetics
3.1.1. pH effect
PCP is a hydrophobic ionizable organic compound
(HIOC) and its distribution is strongly dependent of
the aqueous phase pH and ionic strength (l). But this
l dependence is only reflected for pH values in the aqueous phase above 7 (Westall et al., 1985). Lee et al.
(1990), working with sorption of PCP in soils, also concluded that when pH is under 3 the sorption coefficient,
K, obtained by linear regression of the data, increased
only 1.3 when l increased 1000 times. But for pHs
higher than 7, the PCP sorption coefficient increased
by a factor of approximately 6 with changes in l of
140 times. Therefore, of these two parameters the focus
of our work was on the pH effect in the PCP–pine bark
sorption system. PCP is the ‘‘strongest’’ acid of the phenols family, having a pKa of 4.70 (Crosby, 1981). The
fraction of the neutral form of PCP, /n, is dependent
of the solution pH. Under pH 3 the fraction of neutral
species is almost 100%, while above pH 7 the anionic
PCP is predominant. Between these values, a combination of both species is present.
The first step performed in the sorption studies was
the evaluation of the contact time required to reach
equilibrium at different pH values. Fig. 1 shows the results of sorption kinetics and the pH influence for an
initial concentration of PCP of 1 mg l1 and 5 g of pine
bark. In fact, the solution pH has an effect in the PCP
sorption on pine bark in terms of equilibrium time and
extent of sorption related to the PCP species in
1.00
0.80
0.60
C/Co
kinetic studies with solutions of 1 mg l1 PCP in a system with solid:solution ratio of 1:100 (w:w). To conduct
our work we defined three regions of pH to study the
behaviour of PCP in the system water–PCP–pine bark.
The value of pH 2 was picked to study the sorption
of the neutral species, while the pH 7 was chosen to
study the sorption of anionic PCP without inducing
any decomposition of the pine bark. Between these values we studied the system behaviour at pH 4.6, a value
near the PCP pKa, where /n (fraction of the neutral
form) is 0.5. To study the isotherms at pH 2 and 4.6,
the experiments were programmed in several groups.
In each group it was maintained the same initial concentration of 100 ml PCP solution in the Erlenmyer flasks,
changing the pine bark amount between 20 and
1000 mg. For the experiments at pH 7 it was preserved
the same amount of pine bark (500 mg) and shifted the
initial concentration of PCP to avoid variations in the
pine bark amount and subsequently possible pH variations, although the solutions had been prepared in phosphate buffer. The filtered solutions were analysed for
PCP by gas chromatography after solid-phase microextraction (SPME).
0.40
0.20
0.00
0
1000
2000
3000
4000
5000
6000
7000
Time (min)
Fig. 1. Sorption kinetics of PCP on pine bark at different
solution pH: (r) pH 7; (d) pH 4.6 and (·) pH 2.
I. Brás et al. / Chemosphere 60 (2005) 1095–1102
3.1.2. Particle diameter effect
The equilibrium time attained by molecular PCP is
in agreement with the extremely low specific surface
area and pore volume of the pine bark, suggesting
that only the external particle surface is available for
sorption (Table 1). As consequence, the smaller the
particle is, higher extension of sorption is expected.
In fact, the experiments conducted with different diameter particles of pine bark, at pH 2, showed that
particles with higher size have poor capacity for sorbing the PCP (Fig. 2).
The same trend is observed for both pine bark sizes,
but when evaluating the change in the concentration
normalized by the geometrical surface area (data not
shown) it is clear that higher particles attain the equilibrium faster than the smaller ones, but reaching a similar
final sorption capacity.
0.80
0.60
C/Co
solution and its properties. Although it was expected
that at pH 4.6 (where /n is 0.5) the data would be
somewhere in the middle between the data accomplished for the higher and the lower pH tested, the results show a sorption well above the expected. This is
probably because the two species are in equilibrium
and the rapid sorption of the neutral form promotes
the equilibrium to move to the formation of more
molecular PCP, until a thermodynamic equilibrium between the two species is reached. Peuravuori et al.
(2002) studding PCP sorption in lake aquatic humic
matter at pH 3, 5.5 and 7 achieved a similar development and also proposed the equilibrium theory. These
results can also be explained taking into consideration
that pH is a key factor controlling the solubility and
the octanol–water partitioning coefficient, Kow. This
partitioning coefficient is an important physicochemical
parameter used in prediction of environmental fate of
organic contaminants, once it quantifies the hydrophobicity of the organic molecule (Nowosielski and Fein,
1998). It was shown by Westall et al. (1985) that for
pH values under pKa the PCP distribution between
the octanol and water phases do not change
(log Kow 5), while for higher pHs the Kow value decreases with the pH, reaching a constant value above
pH 9 (log Kow 1.8). Wightman and Fein (1999) studied the changes in solubility with the pH and concluded
that below the pKa the solubility stays almost
unchangeable, increasing afterwards with a linear
shape, probably due to the formation of sodium chlorophenolate aqueous complexes or to the ions activities, which increase the total chlorophenol solubility.
Other sorption studies in pine bark carried out
with pesticides and hydrocarbons in aqueous matrix
and with vapor toluene also reported fast kinetics,
with the equilibrium being reached in less than 2 h
(Chiu et al., 2003; Haussard et al., 2003; Ratola
et al., 2003).
0.40
0.20
0.00
0
1000 2000 3000 4000 5000 6000 7000 8000
Time (min)
Fig. 2. Batch kinetics of PCP at pH 2 with pine bark diameter
particle between 0.15–0.40 mm ( ) and 0.60–1.18 mm (r).
3.1.3. Effect of PCP initial concentration
The PCP uptake by pine bark over time at different
initial PCP concentrations is shown in Fig. 3. For the
same amount of sorbent, the sorption efficiencies
decrease with the increase of PCP in solution, while
the amount of PCP sorbed increased from 0.11, 0.97
and 7.65 mg g1 for the initial values of PCP:sorbent ratio of 0.12, 1.33 and 11.6 mg g1, respectively.
The time necessary to reach the equilibrium is affected
by the increase of PCP initial concentration, increasing as PCP increases in solution. Nevertheless, a contact time of 24 h was considered to be enough to
ensure the equilibrium between the solid and liquid
phases.
0.70
0.60
0.50
C/Co
1098
0.40
0.30
0.20
0.10
0.00
0
1000
2000 3000
4000 5000 6000
7000 8000
Time (min)
Fig. 3. Effect of the initial ratio PCP to sorbent amount in the
equilibrium time at pH 4.6: (d) 0.1 mg PCP g1 pine bark; (r)
1 mg PCP g1 pine bark; ( ) 10 mg PCP g1 pine bark.
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I. Brás et al. / Chemosphere 60 (2005) 1095–1102
3.2. Sorption isotherms
The sorption isotherm is a mathematical model for
characterizing the equilibrium distribution of a solute
between the solid and liquid phases within the system
at constant temperature. The model relates the amount
of solute sorbed per weight of sorbing phase, qe, with
the amount of solute retained in the solvent phase, Ce.
The simplest is the linear model, which states that the
amount of solute retained by the solid phase is directly
proportional to the solution concentration (Eq. (1)).
qe ¼ K d C e
ð1Þ
The constant Kd is often referred as the distribution
coefficient. The Freundlich isotherm is another model
widely used in wastewater adsorption systems representing a nonlinear equilibrium between the phases (Eq. (2)).
qe ¼ K F C 1=n
e
ð2Þ
The parameter KF is linked to the sorption capacity
and 1/n to sorption intensity.
The sorption isotherms determined for PCP sorption
in pine bark, at different pH values (Fig. 4) show, within
the error of the quantification method, a reasonable linearity over the range of the studied concentrations, with
good correlation factors (Table 2). Weber et al. (1991)
suggested that the linear isotherm is appropriate for
sorption in which the energies involved in the sorption
process are uniform with the increase of solute concen-
25
qe (mg g-1)
20
15
10
5
0
0
10
20
30
40
50
-1
Ce (mg l )
Fig. 4. Sorption equilibrium of PCP in pine bark at different
pHs at T = 25 C: (d) pH = 2; ( ) pH = 4.6; (r) pH = 7.
tration and the loading of sorbate is low, being associated with very low solute concentrations and solids
with low sorption potential.
Looking to the Freundlich parameters and correlation factors it can be concluded that this model is also
suitable for describing the experimental data, with the
exponent, 1/n, at pH 2, close to the unity, enforcing
the idea of the linear behaviour of this system. Lee
et al. (1990) reached the same conclusion in systems consisting in water–PCP–soil at different pHs with concentrations lower than 5 lg ml1, while DiVicenzo and
Sparks (2001) attended the same situation only for pH
4 but for pH 8 the isotherm became nonlinear. Shimizu
et al. (1992) referred that the isotherms are linear if the
equilibrium aqueous organic compound concentration
is below 105 M or below one half of the aqueous phase
solubility (whichever is lower). For pH 4.6 and 7.0, the
adjustment of the Freundlich isotherm offer slightly better correlation factors than the linear model with the
concentration exponent moving away from one. This
behaviour may reflect that different PCP species have
different mechanisms of interaction with the pine surface
during the sorption process.
In the literature some other sorption materials are
indicated for PCP sorption (see Table 3). Evaluating
the sorption in natural organic materials, like pine bark
and peat, a similar affinity of the sorption capacity and
the same linear behaviour at acidic pH can be found,
once the 1/n constant reported by Tanjore and Viraraghavan (1997) is very close to the unity. When comparing
with biomass, the sorption capacity of pine bark is much
lower and the biomass presents an obvious withdrawal
from the linearity, showing that the sorption is more
favourable probably because it has functional groups
highly reactive at the surface and electrostatic interactions can be promoted at the mentioned pH (Jianlong
et al., 2000). In this table it is also noticeable the decrease of the sorbent capacity with the increased pH
and, most important of all, the ability of the Freundlich
isotherm to fit the experimental data for higher pHs.
Several authors suggest that the linear behaviour of
the isotherm is a feature of a system where a partitioning
mechanism between the organic and the aqueous phases
takes place, like the sorption of organic solutes in water
by the organic matter of the soil (Lee et al., 1990). In systems where the soil is the sorbent, the partitioning
Table 2
Parameters obtained by adjusting the isotherm models to the experimental data
Linear
Freundlich
1
pH = 2.0
pH = 4.6
pH = 7.0
Kd (l g )
r
KF (mg g1 (mg l1)1/n)
1/n
r2
2.73 ± 0.03
2.15 ± 0.05
0.070 ± 0.001
0.995
0.984
0.979
1.7 ± 0.2
8.6 ± 1.6
0.21 ± 0.05
1.06 ± 0.02
0.85 ± 0.02
0.89 ± 0.03
0.997
0.995
0.989
2
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I. Brás et al. / Chemosphere 60 (2005) 1095–1102
Table 3
Isotherm parameters indicated by other authors
Sorbent
KF
1/n
pH
Reference
Peat
Peat:bentonite mixture (5:95)
Chitosan flake-type
Chitosan bead-type
Biomass inactivated
Biomass inactivated
Activated sludge
Activated sludge
Activated sludge
Activated sludge
Pure culture of Rhizopus arrhizus
1.57
0.048
0.17
0.17
0.48
3.88
34.12
29.37
21.76
10.1
28.8
1.02
2.144
0.51
1.85
0.73
0.73
0.74
0.73
0.73
0.8
0.9
3–3.5
3–3.5
6.2
6.2
7.0
5.4
6
7
8
–
–
Tanjore and Viraraghavan (1997)
Viraraghavan and Slough (1999)
Zheng et al. (2004)
Zheng et al. (2004)
Brandt et al. (1997)
Brandt et al. (1997)
Jianlong et al. (2000)
Jianlong et al. (2000)
Jianlong et al. (2000)
Bell and Tsezos (1987)
Bell and Tsezos (1987)
coefficient will be dependent of the fraction of organic
matter present in the soil, generally referred as foc,
fraction of the soil organic carbon content, and of the
affinity of the compound to the organic phase, Kow.
Christodoulatos and Mohiuddin (1996) studding the
adsorption of pentachlorophenol by soils showed that
the foc of the soil is an important factor when the molecular PCP is present in contrast with the situation when
only the anionic PCP is in solution. The importance of
the organic matter of the sorbent can be realised by
the strong decrease in the sorption capacity when bentonite is mixed with peat comparatively to peat by itself
(Tanjore and Viraraghavan, 1997; Viraraghavan and
Slough, 1999), respectively 1.57 and 0.048.
In fact, the PCP distribution coefficient, Kd, between
the pine bark and the aqueous phase is lower for the
ion than that for the non-ionized species, by a factor
of 40. In the non-dissociated form, PCP can interact
as a hydrophobic non-ionizable organic compound
with the environment, with log Kow of 5. The sorption
of these compounds results primarily from van der
Waals and London forces reinforced by the hydrophobic interactions, which combined result in hydrophobic
sorption (Voice and Weber, 1983). If the organic compound is in its ionizable state both hydrophobic and
electrostatic interactions are expected to play a significant role. But once pentachlorophenolate ion has a
negative charge and the pine bark surface is also negative, it is expectable that overall forces established
between the solute and the surface will be weaker than
when non-ionized species is present. This can explain
the lower distribution coefficients between the phases
at higher pHs rather than a null sorption. Indeed,
Lee et al. (1990) provided evidence that anionic species
also get into the nonaqueous phase, probably due to
the formation of an uncharged new ion pairs molecules
which in turn can establish hydrophobic interactions
with the pine bark surface.
Realising that the pine bark particle is by itself
organic matter, with only 0.37% of ashes (see Table 1),
but that only the fraction in the external surface can
interact with the PCP, it is understandable that for the
same amount of pine bark, smaller particles will have
more sites to interact with the organic pollutant molecules. This conclusion can be assessed by data attained
for the equilibrium of two different ranges of particle
sizes at pH 2 (data not shown). The linear isotherm
parameter, Kd, attained for larger particles (0.60–
1.18 mm) was 1.32 ± 0.03 l g1 (r2 = 0.998). Comparing
this value with the obtained for smaller particles (0.15–
0.45 mm) presented in Table 2, larger particles show
poor results in the sorption as a consequence of their
lower specific surface area.
A study performed by Brás et al. (1999) with pine
bark as sorbent of lindane (log Kow = 4.8) and other
organochlorine pesticides suggested that indeed the particle diameter was a key parameter in the sorption process due the low specific surface area of the pine bark.
Table 4
Effect of temperature on the linear and Freundlich isotherm parameters
T (C)
Linear
Freundlich
1
10
25
35
Kd (l g )
r
KF (mg g1 (mg l1)1/n)
1/n
r2
2.59 ± 0.10
3.01 ± 0.05
2.82 ± 0.10
0.980
0.997
0.986
4.8 ± 2.2
2.3 ± 0.3
5.8 ± 1.2
0.89 ± 0.08
1.05 ± 0.23
0.87 ± 0.01
0.986
0.999
0.974
2
I. Brás et al. / Chemosphere 60 (2005) 1095–1102
Temperature is another environmental parameter
that can act in the sorption equilibrium. Our intent was
to verify the system behaviour with the temperature for
pH 2, which presented the greatest sorption capacity.
Three series of batch experiments were conducted at
10, 25 and 35 C, with a PCP initial concentration of
0.5 mg l1. The Kd values obtained for the temperatures
tested are presented in Table 4, showing no significant
changes in the sorption equilibrium with temperature because the solubility of the neutral species of PCP and the
hydrophobic interactions between solute and sorbent remain unchangeable. Wightman and Fein (1999) showed
that the solubility increases with temperature, rising by
a factor of 2.4 from 25 C to 55 C, only in the pH range
higher than the pKa. This could be a result of the temperature effect on the polarity of the water molecule, which
decreases with the temperature rising, endorsing solvatation of neutral aqueous species. Another fact illustrated
by these authors was that the pKa tends to displace to
lower values as the temperature increases.
The effect of temperature can be predicted based on
its effect on the solute aqueous activity coefficients. Severtson and Banerjee (1996) sustain that the temperature
effects can be predicted by the solubility information but
they also reported that the distribution coefficient has
only a weak temperature dependency that can be offset
by the organic acid pKa, which for chlorophenols may
increase or decrease with the temperature. But even with
the same chlorophenol and in the same temperature
range, slight sorbent differences can behave in different
manner as function of temperature. Zheng et al. (2004)
showed that for Chitosan flake-type the KF and 1/n
decreased with the temperature increase, while for
Chitosan bead-type no evident trend was found.
4. Conclusions
The following conclusions can be drawn from the
present work:
1. Pine bark can act as an important sorbent for the
sorption of the neutral species of hydrophobic ionizable organic compounds, and its surface acidity is
helpful in decreasing the pH of the contact solutions,
promoting the increase of the hydrophobic species in
solution.
2. The pH of the water–PCP system is a main factor
controlling the extent of sorption by pine bark, once
it determines the PCP species in solution. At lower
pH, where only the neutral species exists, the sorption
is higher and the distribution coefficient is 40 times
greater than at pH 7, where only anionic PCP is present. At pH around the PCP pKa, the distribution
coefficient is only 1.3 times lower than in the pH
range where only exists the neutral PCP.
1101
3. Lower particle sizes showed to have higher sorption
capacity with the distribution coefficient increasing
by a factor of 2 relatively to the larger particle size
tested, enforcing the idea that only the geometrical
surface area is available for the sorption process.
4. The temperature does not seem to have a significant
role in controlling the sorption of PCP by pine bark.
5. Although in the range of pH studied the PCP sorption can be well described by the linear isotherm,
there are some evidences that for higher pHs nonlinear models could be more adequate to describe
the experimental data.
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