ArticlePDF Available

Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of Naphthalene from Aqueous Solution

Authors:

Abstract

Batch adsorption process factors [contact time (20–150 min), adsorbent dosage (0.5–1.5 g), adsorbate concentration (5–30 mg l−1), and agitation rate (100–250 rpm)] were optimised based on D-optimal Design under the Response Surface Methodology (RSM) of the Design-Expert Software (7.6.8) for the removal of naphthalene from aqueous solution using adsor- bent developed from Acetylated Waste Expanded Polystyrene (AWEPs). The maximum adsorption capacity (5.6608 mg g−1) achieved was well fitted to Dubinin-Radushkevich Isotherm (R2 = 0.9949). The SSE (< 0.05) and ARE (< 4.0 %) indicated pseu- do-second-order as the most suitable model. This research has demonstrated the effectiveness of the WEPs for the removal of naphthalene from the aqueous solution.
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 519
1 Introduction
Polycyclic aromatic hydrocarbons (PAHs) are a class of
organic compounds characterised by two or more fused
benzene rings. They are carcinogenic, mutagenic, and tox-
ic.1 There are sixteen listed PAHs as priority pollutants that
have been linked to various health challenges in humans.2,3
PAHs are by-products of various anthropogenic and indus-
trial activities, such as incomplete combustion of coal, fuel,
garbage, oil, oil spillage, organic substances, polymers, re-
fuse, tobacco smoke, and wood, among others.4,5,6,7 The
negative effect of PAHs in the environment has been a
great concern to researchers8 to mitigate their serious ef-
fects on the human body.5,8,9
PAHs have a strong resistance to biological degradation,
and some conventional physicochemical processes have
not demonstrated the desired potency for their remov-
al.5 However, adsorption processes, involving the use of
activated carbon derived from synthetic, natural, and re-
newable sources have been deployed for the successful
removal of PAHs.5,8,10 This may not be unconnected to the
advantages of the ease in operation, cost-effectiveness,
and insensitivity to toxic substances compared to other
separation techniques.9 Activated carbon, commonly used
in the adsorption process, has high adsorption capacities
for a wide range of pollutants because of its porous micro-
structures and large surface areas.11 However, the purchase
cost and the cost of regeneration of AC are expensive,12
besides there is 10–15 % loss during regeneration.13 Ad-
sorbents such as carbon nanotube, zeolite, diatomite, and
organoclay have been used for the adsorption of PAHs
from aqueous solutions.14,15,16 Naphthalene is an important
PAH that has a molecule containing two benzene rings17
with molecular formula C10H8, obtainable from petroleum
rening and coal tar distillation.18 Its presence in the envi-
ronment is more pronounced, relative to the other types
of PAHs.13 Some authors have used various types of adsor-
bent originated from clay, coal, and agricultural biomass
for the removal of naphthalene from wastewater.19,20,21,22
Expanded polystyrene (EPS) are agglomerated small and
expandable plastic “beads” used to produce food packag-
es,23 because of their calendaring surface, which prevents
absorption of water, oil, beverages, and other processed
food products. Used EPS has relatively low scrap value
and is discarded after use.24,25 Its non-biodegradable na-
ture makes it persist in the environment and its build-up
reduces the holding capacity of landlls or dumpsites.26,27
Reuse of EPS for environmental remediation is reported in
the works of Gwenzi et al., Siyal et al., Alsewailem and Aljlil,
and Ruziwa et al.26,27,28,29,30 This study aimed at recycling
EPS waste into an effective adsorbent for the removal of
naphthalene from the aqueous solution.
2. Experimental
2.1 Materials and sample preparation
WEPs, sourced from dumpsites were washed to remove
oil and dirt from their surfaces. The collected WEPs were
soaked in detergent solution and stirred until the strength
Recycling of Waste Expanded Polystyrene as
an Effective Adsorbent of Naphthalene from
Aqueous Solution
https://doi.org/10.15255/KUI.2020.084
KUI-37/2021
Original scientific paper
Received December 25, 2020
Accepted June 26, 2021
O. C. Taiwo
,a,b
T. J. Afolabi
,a,b
F. N. Osuolale
,a
A. O. Ajani
,a
O. A. Aworanti
,a
O. R. Ogunleye
, a,b and
A. O. Alade
a,b,c*
This work is licensed under a
Creative Commons Attribution 4.0
International License
a Department of Chemical Engineering, Ladoke Akintola University of Technology,
Ogbomoso, Nigeria
b Bioenvironmental, Water and Engineering Research Group, (BWERG),
Ladoke Akintola University of Technology, Ogbomoso, Nigeria
c Science and Engineering Research Group, (SEARG), Ladoke Akintola University of Technology,
Ogbomoso, Nigeria
Abstract
Batch adsorption process factors [contact time (20–150 min), adsorbent dosage (0.5–1.5 g), adsorbate concentration
(5–30 mg l−1), and agitation rate (100–250 rpm)] were optimised based on D-optimal Design under the Response Surface
Methodology (RSM) of the Design-Expert Software (7.6.8) for the removal of naphthalene from aqueous solution using adsor-
bent developed from Acetylated Waste Expanded Polystyrene (AWEPs). The maximum adsorption capacity (5.6608 mg g−1)
achieved was well tted to Dubinin-Radushkevich Isotherm (R2 = 0.9949). The SSE (< 0.05) and ARE (< 4.0 %) indicated pseu-
do-second-order as the most suitable model. This research has demonstrated the effectiveness of the WEPs for the removal of
naphthalene from the aqueous solution.
Keywords
Adsorption, D-optimal, naphthalene, waste expanded polystyrene
* Corresponding author: Abass Olanrewaju Alade, PhD
Email: aoalade@lautech.edu.ng
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
520
of the detergent became weak. They were then rinsed
thoroughly with a copious amount of distilled water be-
fore being sun-dried and oven-dried at 105 °C to constant
weight. They were reduced to relatively uniform sizes to
reduce the impact of calendaring and expose the pores.30
All the reagents used in this research were of analytical
grade and used without further purication.31
[Acetic acid (γ: 60.052 g mol−1, Tb: 118 °C, ρ: 1.05 g cm−3,
Tm: 16.6 °C, CAS 64-19-7), NaOH (γ: 39.997 g mol−1,
ρ: 2.13 g cm−3, Tb: 1,388 °C, CAS 1310-73-2), Naph-
thalene (Tm: 80.26 °C, γ: 128.1705 g mol−1, Tb: 218 °C,
ρ: 1.14 g cm−3, CAS 91-20-3), Ethanol (Tb: 78.37 °C,
γ: 46.07 g mol−1, Tm: −114.1 °C, Density: 789 kg m−3, CAS
64-17-5)].
2.2 Activation of WEPs
The WEPs were mixed in 100 ml of acetic acid
(c = 4.15 mol dm−3) at a ratio of 1.5 : 1 (mass of activant/
mass of precursor) and microwaved in the oven at 600 Hz
for 90 min, the excess acid was boiled off. The pH of the
acetylated WEPs (AWEPs) developed was neutralized with
NaOH and oven-dried to constant weight.28,30
2.3 Characterisation of AWEPs
The ash and moisture contents were determined by the
ASTM analytical method32 and the method adopted by Ek-
pete and Horsfall.33 The ash and moisture contents were
calculated according to Eqs. (1) and (2).31 Fourier Trans-
form Infrared Spectroscopy (FTIR) was used to determine
the functional group on the surface of AWEPs before and
after adsorption. The samples were prepared with potas-
sium bromide at a 1 : 10 ratio and pressed into the pel-
letized disc.34 The FTIR spectrum of WEPs, AWEPs, and
spent WEPs (SWEPs) adsorbents were recorded within the
range of 400–4000 cm−1.
( )
= ⋅
1
2
ashcontent  % 100
m
m
(1)
% moisture content =
43
53
100
mm
mm
(2)
where m1 is the mass of ash, m2 is the mass of the dried
sample, m3 is the mass of crucible, m4 is the mass of cruci-
ble with the wet sample, and m5 is the mass of the crucible
with the dry sample.
2.4 Batch adsorption
2.4.1 Adsorption studies
A stock solution of naphthalene of 200 mg l−1 was pre-
pared by dissolving 200 mg of naphthalene in 100 ml of
ethanol. Distilled water was added to make 1 l. The stock
solution was further diluted with distilled water according-
ly to produce the desired concentration.35
The study type used for this experimental design for the
adsorption study was the Response Surface Methodology
(RSM).36 The initial design suggested by the Design-Expert
software (7.6.8) was D-optimal. Zero (0) centre point was
chosen for the design with no blocks selected, and a build
time of 875 min was used for the design model. The factors
are activant concentration (A), impregnation ratio (B), mi-
crowave time (C), and microwave frequency (D) while the
response is adsorption capacity.26,28 Determined amount
(0.5–1.5 g) of AWEPs was mixed with 100 ml naphthalene
solution of specic concentration (5–30 mg l−1) and shaken
on a rotary shaker at a specic agitation rate (100–250 rpm),
and at room temperature (28±2 °C),26,28 according to the
D-optimal Design (Table 1). The mixture was centrifuged
and the supernatant was analysed using UV-Spectrometer
(UV-6100A, manufacturer: METASH A-MATRIX) at a wave-
length of 275 nm.37 Different concentrations (5–50 mg l−1)
of naphthalene were prepared earlier, and UV-Spectrom-
eter (UV-6100A) at a wavelength of 275 nm was used to
their corresponding absorbances, which were used to de-
velop the calibration curve from which the equation for
evaluating the naphthalene concentration from absorb-
ance was determined. The adsorption capacity and remov-
al efciency were evaluated by Eqs. (3) and (4).
(3)
(4)
where γo (mg l−1) is the initial concentration of naphthalene
solution in contact with adsorbent, γt (mg l−1) is the nal
concentration of naphthalene solution after the batch ad-
sorption procedure at any time t, m (g) is the mass of adsor-
bent, and V (l) is the volume of the naphthalene in solution.
Table 1 – Range of selected factors for naphthalene adsorption
Activation factors Unit Ranges
Low High
naphthalene concentration mg l−1 5.0 30.0
dosage g 0.5 1.5
time min 30 60
agitation rate rpm 100 250
2.4.2 Effect of adsorption factors
The optimum conditions for the adsorption of naphtha-
lene using AWEPs was subjected to OFAT procedures dur-
ing which the effects of contact time and concentration
were investigated when one of the factors was varied at a
time.38,39,40
2.5 Investigation of suitable adsorption isotherms
The adsorption data obtained were tted to selected iso-
therm models. Their constants were evaluated, and the
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 521
correlation coefcient (R2) was used to express the extent
of correlation between the experimental data and the
model predicted values.41
2.5.1 Langmuir isotherm model
The Langmuir isotherm model is expressed by Eq. (5) and
the linear form Eq. (6) was used to generate the plot of
against γe, which gave a straight-line graph with a slope
m
1
q
and intercept of
mL
1
qK
.
(5)
(6)
where qe is the adsorption capacity at equilibrium (mg g−1),
γe is the equilibrium concentration of the adsorbate solu-
tion (mg l−1), KL is the constant related to the free energy
of adsorption (l mg−1), and qm is the maximum adsorption
capacity at monolayer coverage (mg g−1).
2.5.2 Freundlich isotherm model
The Freundlich isotherm model equation, Eq. (7), assumes
a heterogeneous adsorbent surface with its adsorption sites
at varying energy levels. Its linear form Eq. (8) was used to
generate the plot of lnqe against lnγe that is needed to de-
termine the Freundlich constants (kF
, and 1/n).42
(7)
(8)
where kF is the Freundlich constant, and qe is the adsorp-
tion capacity at equilibrium (mg g−1)
2.5.3 Temkin isotherm model
Temkin isotherm model explicates that the adsorbate-ad-
sorbent interactions and the related change in heat and/or
energy of adsorption are assumed to be linear ---+-char-
acterised by a uniform distribution of binding energy and
up to some maximum binding energy.42 Such an assump-
tion cannot hold for a logarithmic relationship. The Tem-
kin isotherm model is expressed by Eq. (9), while its linear
form is expressed by Eq. (10), and was further simplied
to Eq. (11).
(9)
(10)
(11)
where B = RT/b, B is the molecular interaction parameter
related to the heat of adsorption. A and B are the Temkin
isotherm constants, T (K) is the absolute temperature, and
R is the ideal gas constant (8314 J mol−1 K−1).
2.5.4 Dubinin-Radushkevich isotherm
Dubinin-Radushkevich (D-R) isotherm Eq. (12) assumes
that pore lling inuenced the adsorption mechanism in
micropores and not a layer-by-layer formation of a lm in
the walls of the adsorbent pores.43 The linear form of the
D-R isotherm equation is expressed in Eq. (13) and was
used to plot lnqe against ε2 needed to determine the qm and
β from the intercept and slope.
(12)
lnqe = lnqmβε2(13)
where β (KJ2 mol2) is the free energy of sorption per mole of
the naphthalene as it migrates to the surface of WEPs from
an innite distance in the solution, qm is the maximum ad-
sorption capacity, and ε is the Polanyi potential (J mol−1),
which is expressed by Eq. (14):
(14)
where R is the universal gas constant (8.314 J mol−1 K−1), T
is the absolute temperature (K), and γe is the equilibrium
concentration of naphthalene.
2.6 Adsorption kinetics studies
The pseudo-rst-order model, pseudo-second-order mod-
el, and intraparticle diffusion model were employed to
evaluate the experimental data generated in this study.
2.6.1 Pseudo-first-order model
This model (Eq. (15)) is based on a solid capacity and its
plot of ln(qeqt) vs t that gives a straight line from which
K1 and qt were evaluated based on the slope and intercept.
ln(qeqt) = lnqtK1t(15)
where qe is the equilibrium adsorption capacity (mg g−1), qt
is the adsorption capacity at time (mg g−1), K1 is the pseu-
do-rst-order rate constant (l min−1), and t is the time tak-
en.
2.6.2 Pseudo-second-order model
This model (Eq. (16)) was used to plot t/qe vs t, which gave
a straight line from which qe and K2 were evaluated.
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
522
e2 e
1
t
tt
q qK q
= + (16)
where K2 is the rate constant of pseudo-second-order ad-
sorption (g mg−1 min−1).43
6.3 Intraparticle diffusion model
This model indicates that the rate-limiting step is the trans-
port of the solute from the bulk of the solution to the ad-
sorbent pores through the intraparticle process. It was ex-
pressed according to Eq. (17):44
(17)
where kdiff is the intraparticle diffusion rate constant
(mg g−1 min−0.5), t is time, and C is constant.
2.7 Test of the kinetics model
The impact of various error functions on the predicted
isotherm parameters was analysed to determine the order
of suitability of the selected isotherm models. Error func-
tions such as Average Relative Error (ARE) and Sum of Er-
ror Square (SSE) were calculated according to the Eqs. (16)
and (17).45,46
e,exp e,cal
1
e,exp
100
ARE n
i
qq
nq
=
=(16)
( )
2
e,cal e,exp
1
SSE= n
i
qq
n
=
(17)
where qe,exp is the adsorption capacity at equilibrium ex-
perimental (mg g−1), qe,cal is the adsorption capacity at equi-
librium calculated (mg g−1), and n is the number of data
points.
3 Results and discussion
3.1 Physicochemical analysis of the adsorbent
There was a signicant difference in the ash content be-
tween the WEPs (0.10 %) and AWEPs (0.39 %) (Table 2).
This may be due to the impact of the activant on the com-
position of the untreated WEPs, and this further suggested
that the activation process was evident.47,48 The moisture
content of AWEPs (14.82 %) was higher than that of WEPs
(0.90 %), and this may be due to the soaking step during
the activation process.
3.2 FTIR characterisation of WEPs and AWEPs
The IR peaks observed in the WEPs ranged from
623.1 cm−1 to 3933.4 cm−1 and the peak height ranged
from 21.8 cm−1 to 36.9 cm−1 (Fig. 1a). AWEPs had IR peaks
that ranged from 613.7 cm−1 to 3892.3 cm−1 and peak
height ranged from 3.5 cm−1 to 21.8 cm−1. The IR peak
for the spent SAWEPs ranged from 618.5 cm−1 to 3930.4,
while the peak height ranged from 10 cm−1 to 27.4 cm−1.
The IR peaks observed in the WEPs shifted from (623.1–
3933.4 cm−1) to (613.7–3892.3 cm−1) on AWEPs. All these
changes suggested the impact of acetic acid activation on
the surface improvement of the WEPs. The aromatic C−H
band present in both WEPs and AWEPs is attributed to the
presence of an aromatic benzene ring that is not split by the
acidic modication on the WEPs. C−C−O at 1332 cm−1
was found in WEPs but disappeared in AWEPs due to the
modication by acetic acid. These bands indicate the pos-
sible involvement of these functional groups on the surface
of AWEPs in the naphthalene adsorption process.47 WEPs
and AWEPs surface chemistry were found to be different as
some of the functional groups such as O−H and C−C−O
disappeared due to the activation process.48
transmittance ⁄ %
wavelength ⁄ nm
(a)
(b)
(c)
Fig. 1 FTIR spectra for (a) Waste Expanded Polystyrene, (b)
Acetylated Waste Expanded Polystyrene, and (c) Spent
Acetylated Waste Expanded Polystyrene
3.3 Design summary for the adsorption capacity
of AWEPs for naphthalene
Run 4 (60 min, 100 rpm, 5 mg l−1, and 1.5 g) gave the
lowest adsorption capacity (0.1623 mg g−1), while Run 3
(30 min, 100 rpm, 30 mg l−1, and 0.5 g) gave the high-
est adsorption capacity (5.6608 mg g−1) (Table 3), which
Table 2 – Proximate analysis of WEPS and AWEPS
Sample Ash content ⁄ % Moisture content ⁄ %
WEPs 0.10 0.90
AWEPs 0.39 14.82
WEPs – Waste Expanded Polystyrene, AWEPs –
Acetylated Waste Expanded Polystyrene
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 523
is higher than adsorption capacity of 1.44, 1.595, 1.527,
and 4.39 mg g−1, reported by Ania et al.,49 Murilo et al.,10
and Alade et al.,8 for activated carbons, activated clay, and
amboyant pod activated carbon studied for the removal
of naphthalene. A quadratic model was selected for this
study because of its least standard deviation (10.33) and
high R2 (0.9835). The R2 (0.9548) was very close to the ad-
justed R2 of 0.9548, with less than 0.2 differences, as nor-
mally expected.44 This indicated no large block effect nor
any possible problem with the model and data obtained.50
Adequate Precision, which measures the signal-to-noise
ratio of the data, was 28.793, which was greater than the
desired value (4.0), thus making the developed model very
suitable to navigate the design space.51
3.4 Analysis of variance (ANOVA)
for adsorption capacity of AWEPs
Prob> F of any term or model, less than 0.05, at a 95 %
condence interval is taken as signicant.31 The model
F-value of 34.16 implies the model is signicant and it has
about 0.01 % chance of occurrence due to noise. Thus, C,
AB, AC, AD, BC, BD, and CD are signicant model terms
(Table 4). The “Lack of t F-value” of 0.63 implies the Lack
of t is not signicant relative to the pure error, which
makes the model t31 and there is a 62.61 % chance that
a “Lack of t F-value” this large could occur due to noise.
This is further illustrated by Fig. 2, showing the effects of
the model terms concerning Normal % probability. The
points are distributed on the normal line starting from ap-
proximately 2 to 97 % on normal percentage distribution,
Y-axis, and −1.5 to 2.5 on internally studentized residuals,
X-axis though there is a stacking of the points.31
Table 3 – Results of responses from adsorption experimental data
Run Factors Response
A: time ⁄ min B: agitation rate ⁄ rpm C: concentration ⁄ mg l−1 D: dosage ⁄ g adsorption capacity ⁄ mg g−1
1 30.00 100.00 17.50 1.50 0.6188
2 45.00 250.00 30.00 1.50 0.7565
3 30.00 100.00 30.00 0.50 5.6608
4 60.00 100.00 5.00 1.50 0.1623
5 30.00 100.00 5.00 0.50 0.4869
6 60.00 100.00 30.00 1.50 1.4231
7 30.00 250.00 5.00 1.50 0.3072
8 30.00 250.00 17.50 0.50 2.8130
9 60.00 100.00 17.50 0.50 2.9000
10 30.00 175.00 30.00 1.50 1.3072
11 60.00 250.00 5.00 0.50 0.9217
12 60.00 100.00 30.00 1.50 1.3072
13 30.00 100.00 30.00 0.50 3.0521
14 60.00 250.00 17.50 1.50 0.5898
15 60.00 250.00 30.00 0.50 4.4434
16 60.00 175.00 17.50 1.00 0.4065
17 30.00 250.00 5.00 1.50 1.9608
18 45.00 250.00 17.50 1.00 0.9717
19 60.00 250.00 30.00 0.50 4.7043
20 30.00 100.00 5.00 0.50 0.9838
21 30.00 175.00 17.50 1.00 0.4500
22 45.00 100.00 17.50 1.00 1.3630
23 45.00 175.00 23.75 1.00 2.2489
24 45.00 175.00 5.00 1.00 0.3304
25 30.00 250.00 30.00 1.00 2.2217
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
524
Fig. 2 Effects of the model terms with respect to normal %
probability
3.5 Model equation
The model equations, (Eqs. (18) and (19)), show the rela-
tionship between the adsorption capacity and the selected
factors that can be used to predict the naphthalene ad-
sorption. Model terms B, D, AD, B2, A2, C2, and D2 have
positive coefcients, which indicate an increase in the ad-
sorption capacity of AWEPs in the factors. The negative
coefcients as observed in A, C, AB, AC, BD, CD, and B2
indicate an antagonistic inuence of these factors on the
adsorption capacity of naphthalene. The empirical model
equations in terms of coded factors are given in Eq. (18),
for the signicant and non-signicant terms.
(adsorption capacity)−3 = +3.01 − 1.83A +
+ 2.46B − 25.23C + 6.27D − 30.38AB −
− 31.98AC + 24.36AD + 33.65BC − 22.59BD −
− 24.79CD + 8.26A2 − 0.6B2 + 7.35C2 + 19.45D2
(18)
A B, C, and D are the coded variables for activant concen-
tration, IMR, microwave time, and frequency, respectively.
3.6 Model graph for the selected factors
on adsorption capacity for naphthalene
The plot of agitation rate with time (Fig. 3) shows a grad-
ual decrease in adsorption capacity before a steep slope
moving upward, and this indicates that the two factors
cause a decrease, and then nally increase the adsorption
rate. There is a slight decrease in the slope of concentra-
tion against time before (Fig. 4) and thus, means that the
Table 4 – ANOVA for the Model and selected factors
Source Sum of squares DfMean square F value P-value Prob >F
Model 51038.03 14 3645.57 34.16 < 0.0001*
A – time 14.27 1 14.27 0.13 0.7240
B – agitation rate 25.36 1 25.36 0.24 0.6390
C – concentration 5903.74 1 5903.74 55.32 < 0.0001*
D – dosage 113.17 1 113.17 1.06 0.3332
AB 2923.37 1 2923.37 27.39 0.0008*
AC 7680.27 1 7680.27 71.97 < 0.0001*
AD 1786.01 1 1786.01 16.74 0.0035*
BC 8533.81 1 8533.81 79.97 < 0.0001*
BD 1517.79 1 1517.79 14.22 0.0055*
CD 5305.82 1 5305.82 49.72 0.0001*
A239.15 1 39.15 0.37 0.5615
B20.21 1 0.21 1.939 10−3 0.9660
C237.79 1 37.79 0.35 0.5683
D269.13 1 69.13 0.65 0.4442
Residual 853.71 8 106.71
Lack of t 234.40 3 78.13 0.63 0.6261
Pure error 619.32 5 123.86
Cor total 51891.75 22
* Signicant at p < 0.05
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 525
Fig. 3 – (a) Contour plot, and (b) 3D plot showing the relationship between time and agitation rate
Fig. 4 – (a) Contour plot, and (b) 3D plot showing the relationship between time and concentration
Fig. 5 – (a) Contour plot, and (b) 3D plot showing the relationship between dosage and time
(a)
(a)
(a)
(b)
(b)
(b)
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
526
Fig. 6 – (a) Contour plot, and (b) 3D plot showing the relationship between concentration and agitation rate
Fig. 7 – (a) Contour plot, and (b) 3D plot showing the relationship between dosage and agitation rate
Fig. 8 – (a) Contour plot, and (b) 3D plot showing the relationship between dosage and concentration
(a) (b)
(a) (b)
(a) (b)
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 527
lower value of these factors decreases the adsorption rate.
Contrary to Figs. 3 and 4, there is a parabolic curve, an
increase in adsorption capacity in the plot of dosage and
time (Fig. 5). Further increase in dosage value with time
caused a decrease in adsorption capacity (Fig. 6). Concen-
tration against the agitation rate plot shows an increase in
adsorption capacity (Fig. 4). Other factors that increased
the adsorption rate were the dosage value and agitation
rate (Fig. 7), but the contrary result was experienced in
Fig. 8, in which the dosage and concentration decreased
with the adsorption rate.
3.7 Numerical optimisation studies
on adsorption capacity
Numerical optimisation was obtained from the software.
The four factors (time, agitation rate, concentration, and
dosage) were all set to “is in range” (Table 4), while the
adsorption capacity was set to “maximise” with its upper
and lower limit, respectively. The desirability values were
0.994, and the optimum values suggested by the software
were 60 min, 100 rpm, 5 mg l−1, and 1.5 g for time, agita-
tion rate, concentration, and dosage, respectively (Fig. 9).
Table 5 Selected factors used for optimisation showing their
respective ranges
Name Goal Lower Limit Upper
Limit
time is in range 30 60
agitation rate is in range 100 250
concentration is in range 5 30
dosage is in range 0.5 1.5
(adsorption capacity)^−3 maximise 0.00551244 233.908
3.8 Effect of concentration on adsorption of naphthalene
An increase in the adsorbate initial concentration
(10–30 mg l−1) leads to an increase in the adsorption ca-
pacity (1.921–5.9217 mg g−1) of the adsorbent due to the
increase in the driving force of the concentration gradient
(Fig. 10a). The adsorption of naphthalene was rapid at the
initial stage of the contact time (30 min) for all the con-
centrations. This was because, in the beginning, all active
sites on the adsorbent were vacant, hence, adsorption pro-
ceeded at a faster rate. After this, the rates of adsorption
and desorption tended to be equal, and the extent of ad-
sorption reduced and eventually became almost constant
at equilibrium.51 The percentage of removal also increased
with increasing time for all the concentrations (Fig. 10b).
3.9 Effect of dosage on the adsorption of naphthalene
An increase in adsorbent dosage (0.5–2.5 g) led to a re-
duction (5.5739–1.1930 mg g−1) in adsorption capacity
(Fig. 11a), because of the effect of partial aggregation of
naphthalene on the adsorbent surface, resulting in a de-
crease in total surface area available for naphthalene mol-
ecules. An increase in the adsorbent dosage increased the
removal efciency of naphthalene from 92.9 % to 99.4 %
Fig. 10 Effect of concentration on (a) adsorption capacity, and (b) removal efciency
Fig. 9 – Graphical representation of the numerical optimisation
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
528
at 180 min, due to the availability of more adsorption sites
on the adsorbent (Fig. 11b).52,53
3.10 Adsorption isotherm study
3.10.1 Langmuir isotherm model
The values of qm and KL for AWEPs (Fig. 12) were
−8.7108 mg g−1 and −0.1106, respectively. The low value
of R2 (0.4238) indicated that the experimental equilibri-
um data were not well described by the Langmuir mod-
el. The maximum adsorption capacity (qm) obtained from
this research (−8.7108 mg g−1) (Table 5), was lower for the
adsorption of naphthalene onto mesoporous molecular
sieves, zeolite, Mesoporous organosilica, and banana peel
activated carbon, respectively.10,54
3.10.2 Freundlich isotherm model
The Freundlich model to estimate Kf and 1/n are
−0.0511 l mg−1 and 0.8059 from its intercepts and the
slope, respectively (Fig. 13). The values of 1/n ranging from
0 to 1, indicates the model’s favourability for the adsorp-
tion process,55 and this value is lower than the previous re-
search, except 0.7986 derived by Gupta and Gupta.57 The
negative Kf value obtained from this study was lower than
Fig. 11 Effect of adsorbent dosage on (a) adsorption capacity, and (b) removal efciency
Fig. 12 – Plot of ce/qe against ce for the effect of concentration Fig. 13 – Plot of lnqe against lnce for the effect of concentration
Fig. 14 – Plot of qe against lnce for the effect of concentration Fig. 15 – Plot of lnqe against ԑ2 for the effect of concentration
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 529
the Kf value derived by Carla et al.,54 Chang et al.,56 Gupta
and Gupta,57 respectively. The R2 (0.9777) was relatively
high, thus making the Freundlich isotherm a better model
compared to the Langmuir (0.4238) (Table 5).
3.10.3 Temkin isotherm model
Estimated Temkin isotherm parameters A and B were
6.0670 l g−1 and 1.2408 J mol−1, respectively, (Fig. 14),
with an R2 value of 0.9883, which is higher than the R2
values of 0.4238 and 0.9777 obtained for Freundlich and
Langmuir, suggesting that the data better tted Temkin iso-
therm than the other two.
3.10.4 Dubinin-Radushkevich isotherm
for the effect of concentration
The Dubinin-Radushkevich isotherm model is described
by the plot of lnqe against E2 (Fig. 15) and the estimated pa-
rameters, qm and β are 25.1851 mg g−1 and 1 106 KJ2 mol2,
respectively.
The mean free energy of biosorption β determines the bi-
osorption mechanism as either a physical or chemical pro-
cess. The biosorption process is chemically driven if the
value of β is greater than 8 KJ2 mol2, but involves physical
mechanism if less. The value obtained in this study indi-
cated that the adsorption of naphthalene onto AWEPs was
driven by a chemical process. The R2 value was 0.9949,
which was the highest of all the isotherm models investi-
Table 6 – Comparison of Langmuir and Freundlich Isotherm Parameter to other studies
Adsorbent Langmuir parameter Freundlich parameters Author
qm ⁄ mg g−1 Kf1/n
Mesoporous Molecular Sieves 0.10624 NR NR Murilo et al. (2004)10
Zeolite 0.769 4.215 1.074 Chang et al. (2004)56
Mesoporous Organosilica 0.0466 0.227 0.97 Carla et al. (2011)54
Banana Peel Activated Carbon NR*21.54 0.7986 Gupta and Gupta (2015)57
AWEPS −8.7108 −0.0511 0.8059 This study
*NR – not reported
Fig. 16 Plot of ln(qm-qe) against time for the effect of concen-
tration
Fig. 17 – Plot of t/qe against time for the effect of concentration
Fig. 18 – Plot of qe against lnt for the effect of concentration Fig. 19 – Plot of qe against T0.5 for the effect of concentration
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
530
gated, thereby giving the order of suitability as Langmuir <
Freundlich < Temkin < Dubinin-Radushkevich isotherm.
Therefore, Dubinin-Radushkevich isotherm model best
ts the experimental data generated for the adsorption of
naphthalene on AWEPs.
3.11 Investigation of adsorption kinetics
3.11.1 Pseudo-first-order kinetics model
The estimated k1 values of 0.023, 0.020, and 0.026 had
no visible trend (Fig. 16, Table 7). There is a wide dispari-
ty between the calculated equilibrium adsorption capacity
qe,calc, and the experimental equilibrium adsorption capac-
ity (qe,exp) values, contrary to a good correlation expect-
ed.58 This suggests that the adsorption of naphthalene onto
AWEPs does not t the rst-order kinetics. The R2 for 10,
20, and 30 mg l−1 are 0.9609, 0.7838, and 0.8034, respec-
tively and are relatively high.31
Table 8 – Kinetic parameters obtained for the kinetics models
Kinetics model Parameters 10 mg l−1 20 mg l−1 30 mg l−1
Pseudo-rst
order qe,cal ⁄ mg g−1 1.648 1.389 1.933
qe,exp ⁄ mg g−1 1.922 3.878 5.922
K1 ⁄ min−1 0.023 0.020 0.026
R20.9609 0.7838 0.8034
Pseudo-second
order qe,cal ⁄ mg g−1 2.349 4.297 6.545
qe,exp ⁄ mg g−1 1.922 3.878 5.922
K2 ⁄ g mg−1 min−1 0.011 0.013 0.010
R20.9750 0.9804 0.9785
Elovich Α0.140 0.872 1.816
Β1.951 1.298 0.900
R20.8905 0.6349 0.5503
Intraparticle
diffusion Kid 0.120 0.172 0.246
C 0.434 1.821 3.060
R20.8194 0.5322 0.4504
3.11.2 Pseudo-second-order kinetics model
for the effect of concentration
The qe. cal obtained from the plot of t/qe vs t (Fig. 17) were
2.349, 4.297, and 6.545 mg l−1, showing a direct relation-
ship with the increase in concentration. The values of qe.cal
were relatively closer to the values of qe,exp. The values of
K2 (0.011, 0.013, and 0.010 g mg−1 min−1) had no particu-
lar pattern with increasing concentration. The R2, (0.9750,
0.9804, and 0.978) were higher than the R2, obtained for
the rst-order model (Table 7).
3.11.3 Elovich kinetic model
The plot of qe against lnt for Elovich kinetic model (Fig. 18)
gave the values of initial adsorption rate, α as 0.14, 0.872,
and 0.814, while the rate of surface coverage, β, were
1.951, 1.298, and 1.900 for 10, 20 and 30 mg l−1, respec-
tively. The R2 (0.8905, 0.6349, and 0.5503) displayed an
inverse relation with the initial concentration. The increas-
ing order of suitability of the kinetic models, based on R2
obtained, was Elovich < pseudo-rst-order < pseudo-sec-
ond-order kinetic model. Therefore, the adsorption exper-
iment of naphthalene onto AWEPs is best described by the
pseudo-second-order kinetic model.
3.11.4 Intraparticle diffusion model
The kinetic parameter (C) obtained from the plot of qe
against
1
2
t
(Fig. 19) was 0.434, 1.821, and 3.06 for 10, 20,
and 30 mg l−1, respectively, implying that values of C were
directly proportional to the surface adsorption of naphtha-
lene in the rate-controlling step. The intraparticle diffusion
rate constant, Kid, values were 0.12, 0.172, and 0.246,
showing that Kid, increased with concentration. Intraparti-
cle diffusion becomes the sole rate-limiting step if the plot
is linear and passes through the origin.59 This study deviat-
ed from this condition, thus, intraparticle diffusion is not
the sole rate-limiting step. The R2 value obtained reduced
with increasing concentration.
3.12 Error analysis for the kinetic models
It was found that the SSE(pseudo-rst-order) value for the effect
of concentration ranged between 0.017 and 0.89, while
the value obtained for the pseudo-second-order ranged
between 0.260 and 0.054. ARE(pseudo-rst-order) value for
the effect of concentration was greater than 9 %, while
ARE(pseudo-second-order) value for the same factor was less than
4 % (Table 8). Therefore, the pseudo-second order model
better predicts the adsorption of naphthalene on AWEPs
than the pseudo-rst order model.
Table 9 – SSE and ARE values for kinetic models
Kinetic model Concentration ⁄ mg l−1 SSE ARE ⁄ %
pseudo-rst order 10 0.0107 2.0366
15 0.8850 9.1689
20 0.5698 9.6227
pseudo-second order 10 0.0260 3.1737
15 0.0250 1.5435
20 0.0554 1.5028
4 Conclusion
This research successfully demonstrated the suitability of
expanded polystyrene waste (WEPs) products as an effec-
tive adsorbent. The activant (acetylene) used improved the
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 531
surface characteristics of the AWEPs, and this inuenced
its adsorptive properties, particularly for the removal of
naphthalene from aqueous solution. The adsorption pro-
cess was chemically driven, as suggested by the tness of
the data generated to Dubinin-Radushkevich isotherm
and pseudo-second-order kinetic models. This, therefore,
opens more opportunities to explore the WEPs for the ad-
sorption of organic pollutants from aqueous solution and
real-life wastewater.
List of abbreviations and symbols
a_k – Khan model exponent
b_k – Khan constant
A– Temkin isotherm constant
ANOVA – analysis of variance
ARE – average relative error at monolayer coverage
AWEPS – acetylated waste expanded polystyrene
b– heat of adsorption constant
B– Temkin isotherm constant
BET – Brannuer–Emmet–Teller method
d– interlayer spacing, m
DOE – design of experiment
EPS – expanded polystyrene
FTIR – Fourier transform infrared spectroscopy
H– standard enthalpy, J mol−1
h– initial adsorption rate as t→0, mg g−1 min−1
IMR – impregnation ratio
K1– rate constant of pseudo-rst order adsorption, 1/min
K2– rate constant of the pseudo-second, g mg−1 min−1
kdiff – rate constant for intraparticle diffusion, m g−1 min−1
kF– Freundlich constant
KL– free energy of adsorption constant
MBN – methylene blue number
MW – microwave
n– Hill coefcient of binding interaction of the adsorbate
OFAT – one factor at a time
PAHs – polycyclic aromatic hydrocarbons
qe– adsorption capacity at equilibrium, mg g−1
qm– maximum adsorption capacity, mg g−1
qs– theoretical isotherm saturation capacity, mg g−1
qt– adsorption capacity at time t, mg g−1
r– inverse power of distance from the surface, m−1
R– universal gas constant, J mol−1 K−1
RE – removal efciency
RSM – response surface methodology
SSE – sum of square error
T– absolute temperature, K
V– volume, dm3, cm3
WEPS – waste expanded polystyrene
G– change in Gibbs free energy, J mol−1
S– standard entropy change, J K−1
β– free energy of adsorption per mole, KJ2 mol2
ε– Polanyi potential, J mol−1
γe– equilibrium concentration, mg l−1
γo– adsorbate initial concentration, mg l−1
θ– degree of surface coverage
References
Literatura
1. X. M. Xiao, F. Tian, Y. J. Yan, Z. S. Wu, Adsorption behaviour of
pyrene from onto coal based activated carbons prepared by
microwave activation, J. Shihezi Univ. 32 (2014) 485–490.
2. Q. Chen, T. Zheng, B. Bassig, Y. Cheng, B. Leadener, S. Lin, T.
Holford, J. Qiu, Y. Zheng, K. Shi, Y. Zhu, J. Niu, Y. Li, H. Guo,
X. Hu, Y. Jin, Prenatal exposure to polyaromatic hydrocar-
bons and birth weight in China, Open J. Air Pollut. 3 (2014)
100–110, doi: https://doi.org/10.4236/ojap.2014.34010.
3. S. S. Cai, J. A. Syage, K. A. Hanold, M. P. Balogh, Ultra-per-
formance liquid chromatography atmospheric pressure pho-
toionization tandem mass spectrometry for high-sensitivity
and high throughput analysis of U.S. Environmental Pro-
tection Agency 16 priority pollutants polynuclear aromat-
ic hydrocarbons, Anal. Chem. 81 (2009) 2123–2128, doi:
https://doi.org/10.1021/ac802275e.
4. K. Edvinas, M. Dainius, S. V. Ruta, C. Darius, P. Tedas, K.
Violeta, S. Inga, K. Linas, Characterization of particulate
and vapor phase polycyclic aromatic hydrocarbons in in-
door and outdoor air of primary schools, Atmos. Environ.
J. 82 (2014) 298–306, doi: https://doi.org/10.1016/j.atm-
osenv.2013.10.042.
5. S. M. Yakout, A. A. Daifullah, S. A. El-Reefy, Adsorption of
Naphthalene, Phenanthrene, and Pyrene from Aqueous
Solution Using Low-Cost Activated Carbon Derived from
Agricultural Waste, J. Adsorpt. Sci. Technol. 31 (2013) 334–
658, doi: https://doi.org/10.1260/0263-6174.31.4.293.
6. R. J. Krupadam, M. S. Khan, S. R. Wate, Removal of Proba-
ble Human Carcinogenic Polycyclic Aromatic Hydrocarbons
from Contaminated Water Using Molecularly Imprinted
Polymer, Water Res. 44 (2010) 681–688, doi: https://doi.
org/10.1016/j.watres.2009.09.044.
7. R. Quiroz, J. O. Grimalt, P. Fernandez, Toxicity assess-
ment of polycyclic aromatic hydrocarbons in sediments
from European high mountain lakes, Ecotoxicol. Environ.
Saf. 73 (2010) 559–1564, doi: https://doi.org/10.1016/j.
ecoenv.2009.12.030.
8. A. O. Alade, O. S. Amuda, T. J. Afolabi, A. A. Okoya, Ad-
sorption of Naphthalene onto Activated Carbons Derived
from Milk Bush Kernel Shell and Flamboyant Pod, J. Envi-
ron. Chem. Ecotoxicol. 4 (2012) 124–132, doi: https://doi.
org/10.5897/JECE11.041.
9. A. A. Olajiire, A. O. Alade, A. A. Adejare, O. M. Olabemiwo, Dis-
tribution of Polycyclic aromatic hydrocarbons in surface soils
and water from the vicinity of Agbabu bitumen eld of south-
western Nigeria, J. Environ. Sci. Health A 42 (2007) 1043–
104, doi: https://doi.org/10.1080/10934520701418474.
10. F. Murilo, T. Luna, C. B. Araujo, B. V. Carolina, J. Ivanildo,
Jr. Silva, C. S. Diana, L. Celio, Jr. Cavalcante, Adsorption of
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
532
Naphthalene and Pyrene from Isooctane Solutions on Com-
mercial Activated Carbons, J. Environ. Sci. 17 (2011) 937–
947, doi: https://doi.org/10.1007/s10450-011-9372-0.
11. L. Monser, N. Adhoum, Modied Activated Carbon for the
Removal of Copper, Zinc, Chromium, and Cyanide from
Wastewater, J. Sep. Purif. Technol. 26 (2002) 137–146, doi:
https://doi.org/10.1016/S1383-5866(01)00155-1.
12. A. Daifullah, B. Girgis, H. Gad, Utilization of Agro-Residues
(Rice-Husk) in Small Wastewater Treatment Plans, J. Waste
Manag. 11 (2003) 1723–1731, doi: https://doi.org/10.1016/
S0167-577X(02)01058-3.
13. L. Sei, A. Torabian, H. Kazemian, G. N. Bidhendi, A. A. Azimi,
S. Nazmara, M. Alimohammadi, Adsorption of BTEX on Sur-
factant Modied Granulated Natural Zeolite Nanoparticles:
Parameters Optimizing by Applying Taguchi Experimental
Design Method, J. Water Air Soil Pollut. 39 (2011) 939–948,
doi: https://doi.org/10.1002/clen.201000390.
14. F. Yu, J. Ma, Y. Wu, Adsorption of Toluene, Ethylbenzene,
and Xylene Isomers on Multi-Walled Carbon Nanotubes
Oxidized by Different Concentration of NaOCl, J. Environ.
Technol. 3 (2011) 320–329, doi: https://doi.org/10.1007%2
Fs11783-011-0340-4.
15. Y. Zhao, H. Zhang, P. Wang, F. Xue, Z. Ye, Y. Zhang, Y. Tang,
Tailoring the Morphology of MTW Zeolite Mesocrystals: In-
tertwined Classical/Non-Classical Crystallization, J. Chem.
Mater. 19 (2017) 1058–1062, doi: https://doi.org/10.1021/
acs.chemmater.6b03813.
16. H. Nourmoradi, M. Nikaeen, H. H. Khiadani, Removal of
Benzene, Toluene, Ethylene, Chem. Eng. J. 191 (2012) 341–
348, doi: https://doi.org/10.1016/j.cej.2012.03.029.
17. L. Touyz, Naphthalene Mothballs: A Silent Killer, NOVA pub-
lisher, NY11788, USA, 2014.
18. C. H. Micheal, Fact sheet on Naphthalene, Cancer Associa-
tion of South Africa, 2015.
19. E. Ayranci, O. Duman, Structural Effects on the Interactions
of Benzene and Naphthalene Sulfonates with Activated Car-
bon Cloth during Adsorption from Aqueous Solutions, Chem.
Eng. J. 156 (2010) 70–76, doi: https://doi.org/10.1016/j.
cej.2009.09.038.
20. S. E. Agarry, M. O. Aremu, Batch Equilibrium and Kinetic
Studies of Simultaneous Adsorption and Biodegradation of
Naphthalene by Orange Peels Immobilized Pseudomonas
Aeruginosa NCIB 950, J. Bioremed. Biodegrad. 3 (2012)
138, doi: https://doi.org/10.9734/BBJ/2012/902.
21. X. Ge, F. Tian, Z. Wu, Y. Yan, G. Cravotto, Z. Wu, Adsorption of
Naphthalene from Aqueous Solution on Coal-Based Activat-
ed Carbon Modied by Microwave Induction: Microwave
Power Effects, Chemical Engineering, and Processing, J. Pro-
cess Intens. 91 (2015) 57–77, doi: https://doi.org/10.1016/j.
cep.2015.03.019.
22. E. I. Osagie, C. N. Owabor, Adsorption of Naphthalene on
Clay and Sandy Soil from Aqueous Solution, Adv. Chem.
Eng. Sci. 5 (2015) 345–351, doi: https://doi.org/10.4236/
aces.2015.53036.
23. G. Karthikeyan, S. Meenakshi, B. V. Apparao, Water Engineer-
ing and Development Centre 20, 1994.
24. N. Chaukura, W. Gwenzi, T. Bunhu, D. T. Ruziwa, I. Pumure.
Potential Uses and Value-Added Products Derived from
Waste Polystyrene in Developing Countries: A review, J.
Res. Conserv. Recyc. 107 (2015) 157–165, doi: https://doi.
org/10.1016/j.resconrec.2015.10.031.
25. A. Kan, R. Demirboga, A New Technique of Processing for
Waste-Expanded Polystyrene Foams as Aggregates, J. Mater.
Process. Technol. 209 (2009) 2994–3000, doi: https://doi.
org/10.1016/j.jmatprotec.2008.07.017.
26. W. Gwenzi, D. Ruziwa, N. Chaukura, I. Pumure, Removal of
Zn2+ and Pb2+ Ions from Aqueous Solution using Sulphonat-
ed Waste Polystyrene, J. Environ. Chem. Eng. 3 (2015) 2528–
2537, doi: https://doi.org/10.1016/j.jece.2015.08.006.
27. J. Huang, X. Y. Yin, J. Y. Yang, M. L. Guo, Solid Protonic Acids
and Luminescent Carbon Dots Derived from Waste Expand-
ed Polystyrene, J. Mater. Lett. 117 (2013) 112–115, doi:
https://doi.org/10.1016/j.matlet.2013.11.104.
28. A. N. Siyal, S. Q. Memon, S. Parveen, A. Soomro, M. I. Khask-
heli, M. Y. Khuhawar, Chemical Recycling of Expanded Poly-
styrene Waste: Synthesis of Novel Functional Polystyrene-Hy-
drazone Surface for Phenol Removal, J. Chem. 2 (2013)
1020–1035, doi: https://doi.org/10.1155/2013/842435.
29. F. D. Alsewailem, S. A. All, Recycled Polymer/Clay Com-
posites for Heavy-Metals Adsorption, J. Mater. Technol. 47
(2013) 525–529.
30. D. Ruziwa, N. Chaukura, W. Gwenzi, N. Pumure, Removal of
Zn2+ and Pb2+ ions from aqueous solution using sulphonated
waste polystyrene, J. Environ. Eng. 11 (2015) 1135–1176,
doi: https://doi.org/10.1016/j.jece.2015.08.006.
31. O. Alabi, A. O. Alade, T. J. Afolabi, Process optimization of
adsorption of Cr (VI) on adsorbent prepared from Bauhinia
rufescence pod by Box-Behnken Design, J. Sep. Sci. Technol.
55 (2020) 47–60, doi: https://doi.org/10.1080/01496395.2
019.1577436.
32. B. Jenkins, L. Baxter, T. Miles, T. Miles, Combustion Properties
of Biomass, J. Fuel Process. Technol. 54 (1998) 17–46, doi:
https://doi.org/10.1016/S0378-3820(97)00059-3.
33. O. A. Ekpete, M. Horsfall, Kinetic Sorption Study of Phenol
onto Activated Carbon Derived from Fluted Pumpkin Stem
Waste (Telfairia Occidentalis Hook. F), J. Eng. Appl. Sci. 6
(2011) 43–49.
34. E. Fuente, J. A. Menendez, M. A. Dyes, D. Sau’rez, M. A.
Montes-Moran, Infrared Spectroscopy of Carbon Materi-
als: A Quantum Chemistry Study of Model Compounds, J.
Phys. Chem. 1 (2003) 15–24, doi: https://doi.org/10.1021/
jp027482g.
35. Z. Lin, C. Guan, L. Huang, W. Wang, Q. Ling, C. Zhao, Ca-
talysis Studies of Microreticular Polystyrene Cation-ex-
change Resin with Terminal Peruoroalkanesulfonic acids,
J. Chin. Chem. Soc. 60 (2012) 261–266, doi: https://doi.
org/10.1002/jccs.201200431.
36. D. Krishna, R. Padma Sree, Articial Neural Network and
Response Surface Methodology Approach for Modeling and
Optimization of Chromium (VI) Adsorption from Waste Wa-
ter using Ragi Husk Powder, Ind. Chem. Eng. 55 (3) (2013),
doi: https://doi.org/10.1080/00194506.2013.829257
37. I. O. Okeowo, E. O. Balogun, A. J. Ademola, A. O. Alade,
T. J. Afolabi, E. O. Dada, A. G. Farombi, Adsorption of Phe-
nol from Wastewater Using MicrowaveAssisted Ag–Au Na-
noparticleModied Mango Seed ShellActivated Carbon,
Int. J. Environ. Res. 14 (2020) 215–233, doi: https://doi.
org/10.1007/s41742-020-00244-7.
38. S. Saygideger, O. Gulnaz, E. S. Istii, N. Yucel, Adsorption of
Cd(II), Cu(II) and Ni(II) ions by Lemna minor L.: effect of phys-
icochemical environment, J. Hazard. Mater. 126 (2005) 96–
104. doi: https://doi.org/10.1016/j.jhazmat.2005.06.012.
39. M. E. Argun, S. Dursun, A New Approach to Modication
of Natural Adsorbent for Heavy Metal Adsorption, J. Bi-
ores. Technol. 99 (2008) 2516–2527, doi: https://doi.
org/10.1016/j.biortech.2007.04.037.
40. O. S. Bello, M. A. Ahmad, Response Surface Modeling and
Optimization of Remazol Brilliant Blue Reactive Dye Re-
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534 533
moval Using Periwinkle Shell-Based Activated Carbon, J.
Sep. Sci. Technol. 46 (2011) 2367–2379, doi: https://doi.or
g/10.1080/01496395.2011.595756.
41. N. A. Elnasri, M. A. Elsheik, M. A. Eltayeb, Physico-Chemi-
cal Characterization and Freundlich Isotherm of Adsorption
of Fe(II) from Aqueous Solution by Using Activated Carbon
Prepared from Doum Fruit Waste, Arch. Appl. Sci. Res. 5
(2013) 149–158.
42. A. O. Dada, J. O. Ojediran, A. P. Olalekan, Sorption of Pb2+
from Aqueous Solution unto Modied Rice Husk : Isotherms
Studies, J. Adv. Phys. Chem. 16 (2013) 225–286, doi: https://
doi.org/10.1155/2013/842425.
43. A. Adeleh, M. K. Ali, S. Farad, A Kinetic and Thermodynamic
Study of Methylene Blue Removal from Aqueous Solution by
Modied Montmorillonite, J. Appl. Res. Water Wastewater 4
(2015) 150–155.
44. M. Auta, B. H. Hameed, Acid modied local clay beads as
an effective low-cost adsorbent for dynamic adsorption of
methylene blue, J. Ind. Eng. Chem. 19 (2013) 1153–1161,
doi: https://doi.org/10.1016/j.jiec.2012.12.012.
45. S. Chowdhury, P. D. Saha, Articial neural network (ANN)
modeling of adsorption of methylene blue by NaOH-mod-
ied rice husk in a xed-bed column system, Environ.
Sci. Pollut. Res. 20 (2013) 1050–1058, doi: https://doi.
org/10.1007/s11356-012-0912-2.
46. Sh. Shahmohammadi-Kalalagh, H. Babazadeh, Isotherms for
the Sorption of Zinc and Copper onto Kaolinite Comparison
for Various Error Functions, Int. J. Environ. Sci. Technol. 11
(2014) 111–118, doi: https://doi.org/10.1007%2Fs13762-
013-0260-x.
47. M. Zbair, M. Bottlinger, R. Brahmi, A. Ainassaari, M. Pirilä, A.
Drif, R. L. Keiski, S. Ojala, M. Bensite, Toward new bench-
mark adsorbents: preparation and characterization of acti-
vated carbon from argan nutshell for bisphenol A removal,
Environ. Sci. Pollut. Res. 25 (2018) 1869–1882, doi: https://
doi.org/10.1007/s11356-017-0634-6.
48. Z. Fu, J. Jia, J. Li, C. Liu, Transforming Waste Expanded Pol-
ystyrene Foam into Hyper-Crosslinked Polymers for Carbon
dioxide Capture and Separation, J. Chemi. Eng. 323 (2017)
557–564, doi: https://doi.org/10.1016/j.cej.2017.04.090.
49. C. O. Ania, B. Carbal, J. B. Parra, J. J. Pis, Importance
of the Hydrophobic Character of Activated Carbon on
the Removal of Naphthalene from the Aqueous Phase,
J. Adsorpt. Sci. Technol. 25 (2007), doi: https://doi.
org/10.1260/026361707782398164.
50. J. Yang, M. Yu, W. Chen, Adsorption of hexavalent chromium
from aqueous solution by activated carbon prepared from
longan seed: kinetics, equilibrium, and thermodynamics,
J. Ind. Eng. Chem. 21 (2015) 414–422, doi: https://doi.
org/10.1016/j.jiec.2014.02.054.
51. M. Rai, G. Shahi, V. Meena, R. Meena, S. Chakraborty, B.
Rai, R. Singh, Removal of hexavalent chromium Cr (VI) using
activated carbon prepared from mango kernel activated with
H3PO4, J. Res. Efc. Technol. 2 (2016) 63–70, doi: https://
doi.org/10.1016/j.reft.2016.11.011.
52. S. Yildiz, Kinetic, and Isotherm Analysis of Cu(Ii). Adsorption
onto Almond Shell (Prunus dulcis), J. Ecol. Chem. Eng. 24
(2017) 87–106, doi: https://doi.org/10.1515/eces-2017-
0007.
53. A. Inyinbor, F. Adekola, G. Olatunji, Kinetics, and isothermal
modeling of liquid-phase adsorption of Rhodamine B onto
urea modied Raphia hookerie fruit epicarp, J. Water Res.
Ind. 15 (2016) 14–27, doi: https://doi.org/10.1007/s13201-
016-0471-7.
54. B. V. Carla, L. B. Allen, P. M. Cicero, C. A. Ari, S. D. Fran-
cisco, C. G. V. Luiz, B. A. F. Pierre, F. N. Ronaldo, Adsorp-
tion of Polycyclic Aromatic Hydrocarbon from Aqueous
Solutions by Modied Periodic Mesoporous Organosilica, J.
Colloid Interface Sci. 357 (2011) 466–473, doi: https://doi.
org/10.1016/j.jcis.2011.02.013.
55. H. Hammud, Biosorption Studies of Methylene Blue by
Mediterranean Algae Carolina and Its Chemically Modied
Forms. Linear and Nonlinear Models Prediction Based on
Statistical Error Calculations, Int. J. Chem. 3 (2011) 147–163,
DOI: https://doi.org/10.5539/ijc.v3n4p147.
56. C. Chang, C. Chang, K. Chen, W. Tsai, J. Shie, Y. Chen, Ad-
sorption of Naphthalene on Zeolite from Aqueous Solution,
J. Colloid Interface Sci. 277 (2004) 29–34, doi: https://doi.
org/10.1016/j.jcis.2004.04.022.
57. H. Gupta, B. Gupta, Adsorption of Polycyclic Aromatic Hy-
drocarbon on Banana Peel Activated Carbon, J. Desal. Water
Treat. 57 (2015) 9498–9509, doi: https://doi.org/10.1080/1
9443994.2015.1029007.
58. M. Matouq, N. Jildeh, M. Qtaishat, M. Hindiyeh, M. Al Syouf,
The Adsorption Kinetics and Modelling for Heavy Metals Re-
moval from Wastewater by Moringa Pods, J. Environ. Chem.
Eng. 3 (2015) 775–784, doi: https://doi.org/10.1016/j.
jece.2015.03.027.
59. B. Das, N. K. Mondai, R. Bhaumik, P. Roy, Insight into Ad-
sorption Equilibrium, Kinetics and Thermodynamics of Lead
onto Alluvial Soil, J. Environ. Sci. Technol. 11 (2014) 1101–
1114, doi: https://doi.org/10.1007%2Fs13762-013-0279-z.
O. C. TAIWO et al.: Recycling of Waste Expanded Polystyrene as an Effective Adsorbent of ..., Kem. Ind. 70 (9-10) (2021) 519−534
534
SA ŽETAK
Recikliranje ekspandiranog polistirena
kao učinkovitog adsorbensa naftalena iz vodene otopine
Oluwayemisi Christiana Taiwo
,a,b
Tinuade Jolaade Afolabi
,a,b
Funmilayo Nihinlola Osuolale
,a
Ayobami Olu Ajani
,a
Olufunmilayo Abiola Aworanti
,a
Olabanji Raphael Ogunleye
,a,b and
Abass Olanrewaju Alade
a,b,c*
Šaržni faktori procesa adsorpcije [vrijeme kontakta (20 – 150 min), doziranje adsorbenta
(0,5 – 1,5 g), koncentracija adsorbata (5–30 mg l−1) i brzina miješanja (100–250 min−1)] optimizi-
rani su na temelju D-optimalnog dizajna primjenom metodologije odzivne površine (RSM) progra-
ma Design-Expert (7.6.8) za uklanjanje naftalena iz vodene otopine pomoću adsorbenta razvije-
nog iz acetiliranog otpadnog ekspandiranog polistirena (AWEP). Ostvareni maksimalni adsorpcijski
kapacitet (5,6608 mg g−1) dobro je prilagođen izotermi Dubinin-Radushkevich (R2 = 0,9949). SSE
(< 0,05) i ARE (< 4,0 %) označili su pseudo-drugi red kao najprikladniji model. Ovo istraživanje
pokazalo je učinkovitost WEP-a za uklanjanje naftalena iz vodene otopine.
Ključne riječi
Adsorpcija, D-optimalnost, naftalen, otpadni ekspandirani polistiren
Izvorni znanstveni rad
Prispjelo 25. prosinca 2020.
Prihvaćeno 26. lipnja 2021.
a Department of Chemical Engineering,
Ladoke Akintola University of Technology,
Ogbomoso, Nigerija
b Bioenvironmental, Water and Engineering
Research Group, (BWERG), Ladoke Akintola
University of Technology Ogbomoso, Nigerija
c Science and Engineering Research Group,
(SEARG), Ladoke Akintola University of
Technology Ogbomoso, Nigerija
... Because polymeric materials reinforced by clay have good mechanical properties, they are used as composite materials that absorb heavy metals compared to their reinforcement with other materials such as fibers and others (Abdelfattah et al., 2021;Fares and Saad, 2013). Taiwo et al. (2021) used waste acetyl expanded polystyrene (WAEP) absorbent material to remove naphthalene from a variety of solutions (Taiwo et al., 2021). Abd-Aziz et al. (2019) explained the adsorbing process advantages of polystyrene, polypropylene, and polyethylene wastes, such as plastic packaging and food packaging. ...
... Because polymeric materials reinforced by clay have good mechanical properties, they are used as composite materials that absorb heavy metals compared to their reinforcement with other materials such as fibers and others (Abdelfattah et al., 2021;Fares and Saad, 2013). Taiwo et al. (2021) used waste acetyl expanded polystyrene (WAEP) absorbent material to remove naphthalene from a variety of solutions (Taiwo et al., 2021). Abd-Aziz et al. (2019) explained the adsorbing process advantages of polystyrene, polypropylene, and polyethylene wastes, such as plastic packaging and food packaging. ...
... It was also recognized that the percentage of removal increased when time increased. The same behavior was observed in previous studies (Muhammad et al., 2019;Taiwo et al., 2021). ...
Article
Full-text available
In current study, sulfonic acid-functionalized ordered nanoporous Na +-Montmorillonite (SANM) has been utilized as the adsorbent for the removal of a cationic dye, methylene blue (MB), from aqueous solution using the batch adsorption technique under different conditions such as temperature, adsorbent dosage, initial dye concentration, contact time, and pH solution. The optimum sorption conditions were found as following: contact time 10 min, initial dye concentration 800 mg/L, adsorbent dose 0.3 g and temperature 25 °C. The results indicate that the process is pH independent. The sorption capacity was 500 mg/g for this dye. Different thermodynamic parameters i.e., changes in standard free energy, enthalpy, and entropy have also been evaluated. The ΔHads and ΔSads values are thus found to be +38240 (J/mol) and ΔSads138.43 J/K, respectively, while the ΔGads values is-3012.14 J in 298 K and it has been found that the reaction was spontaneous and endothermic in nature. On the other hand, Kinetic parameters have been investigated with pseudo first and second order. The result of experimental data indicates that pseudo second order equation fit better than the other.
Article
Full-text available
This study investigated chromium (VI) removal from simulated water using H3PO4 modified Bauhinia rufescens pod (ACBRP). Box-Behnken Design was used to optimize pH (2–10), time (30–120 min), agitation (120–200 rpm), and temperature (25–40°C) for the adsorption process. Highest adsorption capacity (AC) and removal efficiency (RE) obtained were 9.762 mg/g and 87.62%. Correlation coefficient of the quadratic models developed was 0.9822 and 0.9790 for AC and RE, respectively. Second-order kinetic model fitted well the data while Weber Morris model is the preferred film diffusion mechanism. ACBRP was found to be effective for chromium (VI) removal.
Article
Full-text available
The use of argan nut shell as a precursor for producing activated carbon was investigated in this work. Two activated carbons AC-HP and AC-Na were prepared from argan nut shell by chemical activation method using phosphoric acid (H3PO4) and sodium hydroxide (NaOH), respectively. Textural, morphological, and surface chemistry characteristics were studied by nitrogen physisorption, TGA, SEM, TXRF, FTIR, XRD, and by determining the pHPZC of the AC-HP. The adsorption experiments revealed that AC-HP was more efficient in adsorption of BPA due to high specific surface area (1372 m²/g) compared to AC-Na (798 m²/g). The obtained adsorption data of BPA on AC-HP correlated well with the pseudo-second-order model and the Langmuir isotherm (Qmax = 1250 mg/g at 293 K). The thermodynamic parameters (ΔG° < 0, ΔH° < 0, and ΔS° < 0) indicate that adsorption of BPA on AC-HP was spontaneous and exothermic in nature. The regeneration of AC-HP showed excellent results after 5 cycles (95–93%). This work does not only provide a potential way to use argan nut shell but also represents a sustainable approach to synthesize AC-HP, which might be an ideal material for various applications (energy storage, catalysis, and environmental remediation).
Article
Full-text available
In the work, adsorption of Cu²⁺ ions onto almond shell were investigated under different operational conditions. Almond shell was used without any pretreatment prior to the tests. The optimum conditions for adsorption of Cu²⁺ ions through almond shell were determined to be; pH 5.0, temperature 20°C, shaking rate 125 rpm, sorbent dose 0.3 g and initial Cu²⁺ ion concentration 50 mg/dm³. The equilibrium duration of the system was 60 minutes. The sorption capacities of the sorbents were predicted with the aid of equilibrium and kinetic models. The interactions of peanut shell with metal ions were constituted by SEM, EDX, FT-IR, XRD and AFM. The pseudo-first-order, pseudo-second-order, Weber-Morris, Elovich model and Bangham kinetic models were applied to test the experimental data. The Cu⁺² ions adsorption onto almond shell was better defined by the pseudo-second-order kinetic model, for initial pH. The equilibrium data were evaluated using Langmuir, Freundlich, Temkin, D-R and Harkins Jura isotherms. The highest R² value in isotherm studies was obtained from Langmiur isotherm (R² = 0.98) for the inlet concentration.
Article
Full-text available
The present work reported the adsorption of Cr (VI) from aqueous solutions on activated carbon prepared from mango kernel, a seasonal waste from mango fruits. Kernels from dried mango fruit shells were taken out and pulverized in a micro-pulverizing mill. The powder thus obtained was activated with 40% H3PO4 and carbonized at 600 °C for 1 hour in an inert atmosphere. Physico-chemical characteristics such as elemental composition, surface area, functional groups and surface morphology of the activated carbon were analyzed using elemental analyzer, BET surface area analyzer, FTIR spectroscopy and SEM analysis respectively. Batch adsorption experiments were performed to investigate the effects of Cr (VI) concentration, carbon dose, pH, rate of agitation, time and temperature. The maximum adsorption capacity of Cr(VI) was found to be 7.8 mg g⁻¹ at pH 2 and temperature 35 °C. The Langmuir adsorption isotherm best represented the equilibrium data and a pseudo-second order relation represented the adsorption kinetics.
Article
Full-text available
Epicarp of Raphia hookerie, a bioresource material, was modified with urea (UMRH) to adsorb Rhodamine B (RhB) from aqueous solution. Adsorbent morphology and surface chemistry were established by Brunauer–Emmett–Teller (BET) surface area determination, Fourier transform infrared spectroscopic (FTIR) analysis, scanning electron microscopy (SEM), as well as the pH point of zero charge (pHpzc) determination. Prepared material was subsequently utilized for the uptake of Rhodamine B (RhB). Operational parameters, such as adsorbent dosage, concentration, time, and temperature, were investigated. Evidence of effective urea modification was confirmed by vivid absorption bands at 1670 and 1472 cm⁻¹ corresponding to C=O and C–N stretching vibrations, respectively. Optimum adsorption was obtained at pH 3. Freundlich adsorption isotherm best fits the equilibrium adsorption data, while evidence of adsorbate–adsorbate interaction was revealed by Temkin isotherm model. The maximum monolayer adsorption capacity (qmax) was 434.78 mg/g. Kinetics of the adsorption process was best described by the pseudo-second-order kinetics model. Desorption efficiency was less than or equal to 25 % for all the eluents, and it follows the order HCl > H2O > CH3COOH.
Article
Full-text available
Biosorption experiments were carried out for the removal of the cationic dye Methylene Blue from its aqueous solution by the brown algae Carolina which is widely distributed in the Mediterranean Sea at Lebanese coast. Langmuir, Freundlich, Redlich-Peterson, Temkin, Elovich, and Dubinin-Radushkevich isotherm models were also investigated. The results showed that the experimental adsorption data were well represented by the Langmuir model for the linear regression analysis and both Langmuir and Redlich-Peterson isotherm models for the non-linear regression analysis. The maximum adsorption capacity qmax based on Langmuir is 55 mg/g at 19 oc. This confirms the monolayer coverage of Methylene Blue dye onto energetically homogenous Carolina surface. Negative values of Gibbs free energy revealed that adsorption process is spontaneous.Carolina algae was chemically modified by treatment with NaOH, CaCl2 or formaldehyde. The biosorption of Methylene Blue was enhanced with the process of cross linking using formaldehyde with qmax of 64 mg/g. The results of isothermal study using modified algae also showed that the experimental adsorption data is well fitted into Langmuir model.
Article
Removal of phenol from simulated wastewater was investigated with silver–gold-nanoparticle-modified mango seed shell-activated carbon under batch experiment. The surface properties of the activated carbons were characterized using Fourier transform infrared spectroscopy (FTIR). Adsorption experiment was carried out at ambient temperature to study the effect of contact time, adsorbent dosage, and temperature on phenol adsorption. The equilibrium data were fitted to isotherm model, kinetic model, and intra-particle diffusion models. The maximum removal efficiencies increased from 55.5 to 94.55 and 71.4 to 98.1% for the unmodified and nano-modified activated carbon with increase concentration (50–250 mg/l). The correlation coefficient (R2) Langmuir, Freundlich, and Temkin were 0.3554–0.4563 and 0.2813–0.3191, 0.9150–0.9596 for nanoparticle-modified activated carbon (NCAMSS), as well as 0.5853–0.6598, 0.8159–0.8642, and 0.8159–0.8642, for unmodified activated carbon (UCAMSS). The R2 of the pseudo-first and pseudo-second orders as well as Elovich kinetic models were in the ranges 0.8661–0.9925, 0.8260–0.9942, and 0.6032–0.7505 for NCAMSS as well as 0.4846–0.6032, 0.9567–0.9929, and 0.8842–0.9786, for UCAMSS and modified activated carbon, respectively, The order of fitness/suitability of the models is pseudo-first order > Elovich > pseudo-second order. The intra-particle diffusion model showed that the rate-controlling step is influenced by pore diffusion and that boundary layer diffusion and the adsorption process is heterogeneous, exothermic, and spontaneous. It can be deduced that mango seed shell is a good precursor in the production of activated due to its high yield and good adsorption capacity and the modification of the activated carbon with nanoparticles increased the precursor adsorption properties.
Article
A novel facile and one-pot approach was developed for the preparation of hyper-crosslinked polymers (HCPs) via the Friedel-Crafts reaction between the waste expanded polystyrene foam (WEPS) and 1,2-dichloroethane in this study. 1,2-dichloroethane as a cost-effective chemical agent was used as both the solvent and the cross-linker for HCPs. The obtained HCPs showed large specific surface areas and good thermal stability. The highest CO2 adsorption capacity (1.987 mmol/g) and the adsorption selectivity ratio (CO2 over N2) of 23.4 at 273 K and 1.13 bar were achieved among the prepared HCPs. This study provides a simple and cost-effective method to convert WEPS into value-added adsorbents for the capture and storage of carbon dioxide as the greenhouse gas.