Removal of ni2+ from aqueous solution by adsorption onto tea waste–derived activated carbon - Long Giang Bach
The porous activated carbon fabricated from cheap and abundant tea waste source was
found to be an effective adsorbent for removal of Ni2+ ions from aqueous solution. The RSM
involving CCD was successfully applied to assess the influence of independent parameters,
including Ni2+ initial concentration, pH and AC dosage on the removal of Ni2+ and to optimize
the adsorption conditions. The developed quadratic models for the adsorption were statistically
significant. Under optimal conditions Ci = 74.3 ppm, dosage = 5.5 g/L and pH = 5.1, the
excellent result was obtained up to 96.6 % of Ni2+ removal. Moreover, adsorption isotherm was
satisfactory represented by the Langmuir equation with high capacity of monolayer adsorption
(20.75 mg/g). The recycling results up to five times proved a great potential for application of
low–cost tea waste–derived activated carbon for removal of environmental pollutants.
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Journal of Science and Technology 54 (4B) (2016) 251-259
REMOVAL OF Ni2+ FROM AQUEOUS SOLUTION BY
ADSORPTION ONTO TEA WASTE–DERIVED ACTIVATED
CARBON
Long Giang Bach1, Bui Thi Phuong Quynh1, Van Thi Thanh Ho2,
Nguyen Thi Thuong1, Dinh Thi Thanh Tam1, Trinh Duy Nguyen1,
Tran Van Thuan1, *
1NTT Institute of High Technology, Nguyen Tat Thanh University, 298–300A Nguyen Tat Thanh,
Ho Chi Minh City, Vietnam
2Hochiminh City University of Natural Resources and Environment, 236B Le Van Sy, Ho Chi
Minh City, Vietnam
*Email: tranvt@outlook.com
Received: 16 August 2016; Accepted for publication: 10 November 2016
ABSTRACT
Activated carbon from a locally available and widespread tea waste source was fabricated,
characterized and used as an efficient adsorbent for the removal of Ni2+ from aqueous solutions.
The response surface methodology (RSM) and central composite design (CCD) were used to
investigate the effect of the essential variables including initial concentration, adsorbent dosage
and pH solution on the absorption of Ni2+. The order polynomial regression equations–based
model has been developed and found to be statistically significant by values of the coefficients
of determination (R2) closer than 1.0 and the P–values < 0.0001 from analysis of variance
(ANOVA). Based on the predicted optimum conditions, actual experiment was employed to
obtain the maximum percentage of Ni2+ removal efficiency (96.6 %). There is no doubt that the
use of tea waste as abundant raw material for the preparation of activated carbon to remove
Ni2+from aqueous solutions by five times with negligible change is a promising way.
Keywords: removal of Ni2+, tea waste, response surface methodology, activated carbon.
1. INTRODUCTION
Activated carbon (AC) is a microcrystalline and non–graphitic material, which possesses
several emergent properties such as large surface area, good adsorption capacity, highly micro–
porous structure [1]. Hence, it has also been recognized as a promising adsorbent for the
elimination of heavy metal from groundwater pollution. However, the costly commercial
activated carbon produced from traditional coal and wood has prohibited its potential
applications [2]. The agricultural by–products have recently played a crucial role for the
fabrication of activated carbon because they are locally available and renewable raw materials.
Green tea is a well–known and widespread beverage all over the world [3]. Tea is massively
Long Giang Bach, et al.
252
cultivated in some tropical countries due to it has been proven to contain several valuable natural
compounds, for example, anti–oxidant and anti–carcinogenic substances. According to previous
publications, main components of the tea leave waste are cellulose (37 %), hemicelluloses and
lignin (14 %) and polyphenol (25 %) and tannins [4]. However, tea waste is often discharged
from manufacturing process after the extraction of polyphenol, caffeine, and polysaccharide.
The discard of residues without pre–treatment can lead some problems harmful for the living
environment [5]. Thus, taking advantage of tea waste resource for the synthesis of activated
carbon has been paid much attention of many environmental scientists and organizations.
Nickel contamination of pristine water is considered as one of the environmentally serious
issues because of its toxicological influences on human health [6 – 8]. The presence of
exceeding a concentration of Ni2+ in micro–organisms is responsible for the vulnerable diseases
consisting of vomiting, chest pain, and rapid respiration [9]. According to the reports of World
Health Organization (WHO), the critical concentration of nickel in drinking water is
recommended to be 0.02 ppm. To remove the Ni2+ ions from aqueous solutions, some traditional
methods were widely used including ion exchange, chemical precipitation, ultra filtration,
electrochemical deposition, and adsorption [10]. However, adsorption technique is recognized as
a significant means of treatment because of its great advantages such as metal recovery and cost
effectiveness [11]. The present work aims to investigate influential factors of the removal of Ni2+
by adsorption onto tea waste–derived activated carbons using the response surface methodology
(RSM). The RSM–based two–order polynomial regression equations were used to assess the
mathematical interaction of several variables including initial Ni2+ concentration, the dosage of
activated carbon and pH of the solution. Otherwise, the predicted optimum conditions for the
maximum percentage of Ni2+ removal was also calculated by the statistical program Design –
Expert 9.
2. MATERIALS AND METHODS
2.1. Chemicals and instruments
All chemicals for this study were commercially purchased from Merck and used as
received without any further purification unless otherwise noted. All activated carbon samples
were pretreated by heating at 105 oC for 3 hours. The scanning electron microscope (SEM) was
recorded by instrument Hitachi S4800, Japan and used an accelerating voltage source of 10 kV
with a magnification of 7000. The FT–IR spectra were recorded by using the Nicolet 6700
spectrophotometer instrument.
2.2. Production of activated carbon
The tea waste was placed in a heat–resistant glass vessel connected to an electric furnace.
The sample was then heated from room temperature to 500 oC (10 oC/min) under a nitrogen
atmosphere (400 cm3/min) and maintained the final temperature during 60 min. The
carbonization system was gradually cooled down to room temperature overnight. The residual
char was soaked with KOH solution (char : KOH = 1:1 by weight) for 1 day before heated to
800 oC using the same given system during 60 min. The sample was repeatedly washed with
deionized water until filtered water obtained a neutral solution. Finally, the synthesized AC was
slowly dried at 105 oC, and then smoothly ground for storage (33 % of AC yields).
Removal of Ni2+ from aqueous solution by adsorption onto tea waste-derived activated carbon
253
2.3. Adsorption batch
The adsorbent (0.8 g/L – 9.2 g/L) was poured in an Erlenmeyer flask containing 50 mL of
Ni2+ aqueous solution (8 ppm – 92 ppm). After absorption equilibrium obtained, the adsorbent
was removed from the mixture. The residual concentrations were confirmed by AAS and Ni2+
removal was calculated by the following equation:
( ) C - C2 + o eNi removal % = .100
Co
(1)
where, Co and Ce are the Ni2+ initial and equilibrium concentrations (ppm), respectively.
2.4. Experimental design with RSM
Herein, RSM technique is used to optimize experimental results through second order
polynomial regression equations. Central composite design (CCD) is used to establish given 20
experiments (Table 1) with five levels including the low (encoded –1), high (encoded +1) and
rotatable (encoded ±1.68).
Table 1. Independent variables matrix and their encoded levels
No Independent factors Code
Levels
–1.68 –1 0 +1 +1.68
1 Initial concentration (ppm) x1 8 25 50 75 92
2 Adsorbent dosage (g/L) x2 0.8 2.5 5 7.5 9.2
3 pH of solution (–) x3 0.6 2 4 6 7.4
3. RESULTS AND DISCUSSION
3.1. Textural characterization of activated carbon
The structure of activation carbon was chemically characterized by a means of Fourier
transform infrared spectroscopy. According to the recorded profiles in Figure 1a, the sample was
generally possessed complex surface with various kinds of functional groups. The strong
absorption band around 3450 cm–1 was attributable to the –OH stretching vibrations. The
presence of the peak positioned around 2900 cm–1 was correspondent to C–H vibrations in
aliphatic groups. Unsaturated carbon bonds (C=C) in aromatic rings was also confirmed by
stretching band at 1640 cm–1, while the presence of the O–N asymmetric and C≡C bonding
vibrations was attributable to the peak positions at 1541 cm–1 and 2353 cm–1 [10]. KOH
activation was ascribed to increase the oxygen–containing group species such as phenolic
hydroxyls, enolates, and esters, for an example as follows:
Thus, Ni2+ adsorption on the adsorbent surface by mechanisms like ion–exchange between
Long Giang Bach, et al.
254
metal ions and functional groups can occur due to van der Waals forces or electrostatic attraction
between active sites with metal ions [12]. The SEM micrographs in Figure 1b at a magnification
of 60000 revealed the surface morphology of the as–synthesized activated carbon. Obviously,
the structure of activates carbon was observed to be more highly porous and rich–defective.
Figure 2. FT–IR spectra (a) and SEM micrograph (b) of the activated carbon
3.2. Assessment of experimental results with Design–Expert
The actual and predicted results of the percentage of Ni2+ removal efficiency were
presented in Table 2. The ranges of investigation parameter were designed as follows: initial
concentration (x1) from 8 ppm to 92 ppm, an adsorbent dosage (x2) from 0.8 g/L to 9.2 g/L and
pH of the solution (x3) from 0.6 to 7.4. The correlation between the responses and variables was
described by the following quadratic equations:
1 2 3 1 2
2 2 2
1 3 2 3 1 2 3
( ) (%) 93.8 3.72 9.34 26.19 8.5
0.38 2.08 4.23 14.19 17.19
Ni II removal x x x x x
x x x x x x x
= − + + +
+ − − − −
(2)
The results of the ANOVA for response surface were used to assess the significance of
quadratic model through correlation coefficients (R2) and P–values. According to Table 3, the P–
values were found to be less than 0.0001 and respective R2 was closer 1.0 indicated the proposed
models were statistically significant at 95 % confidence level. Moreover, the high fitness of
model was also proved by the adequate precision (AP) ratio, which value was greater than 4.0
and by plots of predicted values versus actual values, which almost points positioned to the
straight line (Figure 2a). Otherwise, lack of fit (LOF) value was statistically insignificant and
hence indicated the model fitted data well.
Table 2. Matrix of observed and predicted values
No
Variables Response (Ni2+ removal)
x1 (Ci, ppm)
x2 (dosage,
g/L) x3 (pH) Actual (%) Predicted (%)
1 25 2.5 2 30.5 33.2
2 75 2.5 2 7.2 8.0
3 25 7.5 2 34.6 39.0
a)
b)
Removal of Ni2+ from aqueous solution by adsorption onto tea waste-derived activated carbon
255
Table 3. ANOVA for response surface quadratic models
Response Source Sum of squares
Degree
of
freedom
Mean
square F–value Prob. > F Comment
Ni2+
removal
(%)
Model 17913.33 9 1990.37 148.06 < 0.0001s Mean = 69.47
x1 188.66 1 188.66 14.03 0.0038 s CV = 5.28
x2 1191.00 1 1191.00 88.59 < 0.0001 s R2 = 0.9926
x3 9364.47 1 9364.47 696.59 < 0.0001 s R2(adj.) = 0.9858
x1x2 578.00 1 578.00 43.00 < 0.0001 s AP = 36.987
x1x3 1.13 1 1.13 0.084 0.7783 n
x2x3 34.44 1 34.44 2.56 0.1405 n
x12 258.46 1 258.46 19.23 0.0014 s
x22 2900.77 1 2900.77 215.78 < 0.0001 s
x32 4259.81 1 4259.81 316.87 < 0.0001 s
Residuals 134.43 10 13.44
LOF 110.84 5 22.17 4.70 0.0574
PR 23.59 5 4.72
Note: s significant at p 0.05, LOF (lack of fit), PR (pure error).
4 75 7.5 2 45.4 47.8
5 25 2.5 6 87.6 88.9
6 75 2.5 6 65.9 65.2
7 25 7.5 6 83.5 86.5
8 75 7.5 6 95.7 96.8
9 8 5 4 93 88.1
10 92 5 4 75.9 75.6
11 50 0.8 4 38.6 38.0
12 50 9.2 4 74 69.4
13 50 5 0.6 5.4 1.1
14 50 5 7.4 90.2 89.2
15 50 5 4 95.3 93.8
16 50 5 4 96.1 93.8
17 50 5 4 94.7 93.8
18 50 5 4 93.1 93.8
19 50 5 4 92.4 93.8
20 50 5 4 90.2 93.8
Long Giang Bach, et al.
256
3.3. Effect of independent variables on the removal of Ni2+
Referring to Table 3, the initial concentration, adsorbent dosage and pH of the solution
were found to be strong effects on the percentage of Ni2+ removal because P–values of x3, x1x3
and x2x3 were statistically significant. Herein, the response surface was plotted with a variation
of two parameters while the other parameter maintained at zero level (Figure 2).
Figure 2. Actual versus predicted plot (a) and response surfaces (b–d) for regression model of the
percentage of Ni2+ removal
According to three–dimensional response surface plots in Figures 2b–d, the Ni2+ removal
efficiency was generally dependent on various kinds of initial concentration, adsorbent dosage,
and pH of the solution. At a low value of adsorbent dosage, Ni2+ removal efficiency would
increase by decreasing the initial concentration of nickel ions (Figure 2b). The removal of Ni2+
obtained the optimum range of value at a higher amount of activated carbon (around 5 g/L) and
then the variation of percentage of Ni2+ removal was deducted. Figure 2c showed the effect of
initial concentration and pH of the solution on the percentage of Ni2+ removal. It was obvious
that initial concentration of Ni2+ influenced insignificantly on the removal efficiency while the
variation of pH–values led the considerable change of Ni2+ removal efficiency. When the
solution reached the strongly acidic environment (pH < 2), the adsorption of Ni2+ onto the
activated carbon was negligible. In contrast, Ni2+ adsorption process could be improved clearly
when the solution reached a neutral nature. In this case, the range of optimum pH for the 100 %
of Ni2+ removal was found to be 4.5 – 6.5. Finally, the effect of AC dosage and pH on the
removal of Ni2+ was observed in Figure 2d. A wide range for the value of pH (4.5 – 6.5) and
dosage (3–8 g/L) was favorable for the adsorption of Ni2+. The predicted optimal conditions
Removal of Ni2+ from aqueous solution by adsorption onto tea waste-derived activated carbon
257
based model experiment was further conducted to verify the suitability of the proposed models:
Ci = 74.3 ppm, dosage = 5.5 g/L and pH = 5.1 (Table 4). Thereby, the test for the percentage of
Ni2+ removal was obtained 96.6 % which is nearly closed to the predicted values of 98.4 %.
These results demonstrate the high compatibility of the proposed models with the experimental
data.
Table 4. Model confirmation for the removal of Ni2+ by tea waste–derived activated carbon (TWAC)
Sample Ci (ppm) Dosage (g/L) pH (–) Desirability
Ni2+ removal (%)
Predict Test
TWAC 74.3 5.5 5.1 1.00 98.4 96.6
3.4. Isotherm modelling and adsorbent recyclability
Table 5. Isotherm parameters for the adsorption of Ni2+ by TWAC
Isotherm Equation Parameters Value of parameters
Langmuir 1 1 1 1.
e m L e mq q K C q
= +
KL (L/mg)
qm (mg/g)
RL
R2
0.1384
20.75
0.0728
0.9995
Freundlich 1ln ln lne F eq K Cn
= +
KF
[(mg/g).(L/mg)]1/n
1/n
R2
2.6010
0.6175
0.9481
Temkin 1 1ln lne T eq B K B C= + KT (L/mg)
B1
R2
3.5885
2.3636
0.9855
Table 6. Comparison of the textural properties of chemical–ACs and Ni2+ treatment
Source
Properties of AC Ni2+ treatment
Ref Chemical
agent
Activation
temp.
SBET
(m2/g)
Co
(ppm)
Dosage
(g/L) pH
qm
(mg/g)
Almond
husk H2SO4 700 – 25 5 5
4.87 [4]
Apricot K2CO3 400 4.27 10 7 5.0 17.04 [5]
Palm shell – – 513 0.8 1 5 0.13 [6]
Glucose H3PO4 450 698 60 0.6 7 48.5 [7]
Sucrose 460 42.4
Starch 12 41.1
Sugarcane
fiber
NH4Cl 500 836 147 10 7 10.3 [8]
Seed coat H3PO4 300 – 40 5 7 13.51 [9]
Tea waste KOH 700 – 75 5.5 5.0 20.75 This work
Long Giang Bach, et al.
258
Adsorption models are essential to study the interaction between adsorbate and adsorbent.
Herein, we showed three various adsorption isotherms including Langmuir, Freundlich and
Tempkin and their results revealing the linear regression correlation and constant values were
represented in Table 5. For the Langmuir isotherm, a plot of Ce against Ce/qe produced a straight
line with the R2 value of 0.9995 for adsorption model of Ni2+. Moreover, the value of RL was
found to be less than 1.0 and revealed that Langmuir adsorption was more dominant. For the
other models, lower values of R2 corresponding to 0.9481 and 0.9855 for Freundlich and
Tempkin indicated to the data fitness in the following order: Langmuir > Tempkin > Freundlich.
Therefore, Langmuir model illustrated the best description of the Ni2+ adsorption behavior onto
the surface of activated carbon and consolidated that the Ni2+ adsorption process is mainly
monolayer adsorption. With the maximum adsorption value from the model Langmuir (20.75
mg/g), the present study showed the higher capacity than activated carbon fabricated from the
other wastes (Table 6). The recycling test was undertaken to recognize the reuse of activated
carbon after the first batch experiment. The HCl (1.4 M) was used to deprotonate Ni2+ from
absorbent [12]. The removal percentage of Ni2+ of the fifth recycled TWAC was decreased from
96.6 % to 78.2 %. Therefore, TWAC can be used for the removal of Ni2+ several times without a
considerable decrease of adsorption capacity. The present results for adsorption of Ni2+ onto
activated carbon from tea waste revealed the potential use of tea waste as a raw material source
(Table 6).
4. CONCLUSIONS
The porous activated carbon fabricated from cheap and abundant tea waste source was
found to be an effective adsorbent for removal of Ni2+ ions from aqueous solution. The RSM
involving CCD was successfully applied to assess the influence of independent parameters,
including Ni2+ initial concentration, pH and AC dosage on the removal of Ni2+ and to optimize
the adsorption conditions. The developed quadratic models for the adsorption were statistically
significant. Under optimal conditions Ci = 74.3 ppm, dosage = 5.5 g/L and pH = 5.1, the
excellent result was obtained up to 96.6 % of Ni2+ removal. Moreover, adsorption isotherm was
satisfactory represented by the Langmuir equation with high capacity of monolayer adsorption
(20.75 mg/g). The recycling results up to five times proved a great potential for application of
low–cost tea waste–derived activated carbon for removal of environmental pollutants.
Acknowledgements. This research is funded by Foundation for Science and Technology Development
Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
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