The focal point of the study lies in the comparative evaluation of the kinetic data involved in the eradication of toxic dyes from waste waters using the adsorption technique. The investigation reveals the dynamic adsorption behavior of two hazardous textile dyes viz. Metanil Yellow and Methyl Orange over bottom ash, an industrial waste material. The impact of several experimental parameters has been inspected using batch mode to acquire information on the ongoing mechanism. The graphical profiles obtained for the adsorption of Metanil Yellow and Methyl Orange onto bottom ash suggested an increase in the adsorption rate with time, with gradual attainment of equilibrium between the adsorbing species and adsorbent. The study revealed that second-order kinetics has been followed in both cases. Adsorption of Methyl Orange over bottom ash followed particle diffusion whereas film diffusion predominated in the case of Metanil Yellow.

Rapid industrialization and technological amplification are the major reasons for the inlet of pollutants into water systems, especially coloring materials (Mittal et al. 2009; Chequer et al. 2013; Gupta et al. 2015). The discharge of inefficiently treated textile effluent into aqueous bodies adversely affects the aquatic ecosystem by lowering photosynthetic activity and light penetration (Vijayakumar et al. 2012). Some textile dyes are carcinogenic and mutagenic, which can cause acute impairment in humans such as malfunction of the vital organs like liver, kidney, brain, reproductive system and most importantly the central nervous system (Laing 1991; Tsai et al. 2004; Qadeer & Akhtar 2005). Several chemical, physical and biological processes have been employed for the treatment of textile effluent, which include coagulation, chemical oxidation, photocatalytic degradation, microbial biodegradation, membrane filtration, catalysis, membrane separation, ozonation and advanced oxidation processes (de Souza et al. 2010; Moghaddam et al. 2010; Saracino et al. 2018; Kalia et al. 2019). However, most of these technologies are not cost effective or efficient enough in treating textile waste water. The adsorption process therefore seems to have high potential for wastewater treatment in industries because of its ease and efficiency in the elimination of pollutants and also due to its cost effectiveness.

Some cheaper materials have been investigated for the effective degradation of toxic dyes from waste waters which offer an advantage over the most widely used adsorbent, activated carbon, for example orange and banana peels, teak bark, neem leaves, and agricultural residues (Kehinde et al. 2009; Santhi et al. 2016; Uddin et al. 2017; Odoemelam et al. 2018; Li et al. 2019). The research presented in the paper highlights the performance of an industrial waste, bottom ash, as an adsorbent and compares kinetics and mechanistic parameters of two hazardous textile azo dyes for adsorption over this material.

The novelty of the current research work lies in evaluation of the adsorption capacity of a thermal power-plant waste, bottom ash, for the removal of Metanil Yellow and Methyl Orange from waste water, employing kinetic investigations.

Adsorbate

Methyl Orange (C14H14N3NaO3S; molecular weight 327.33) and Metanil Yellow (C18H14N3NaO3S; 375.38), water soluble azo dyes were acquired from Merck. Other necessary reagents used for the experimentation were of analytical reagent (AR) grade. The test solutions were prepared using distilled water and the pH of the experimental solutions was regulated using a pH meter (Hanna Instruments, model no. HI 8424). The change in absorbance values of the dye solutions was assessed spectrophotometrically using a UV-Vis spectrophotometer (Systronics, model no. 117). Table 1 presents the chemical properties of the dyes under investigation.

Table 1

Physicochemical properties of the dyes in this study

ParametersMethyl OrangeMetanil Yellow
Class Mono azo Mono azo 
Chemical formula C14H14N3NAO3C18H14N3NAO3
IUPAC name Sodium p-dimethyl- amino azo benzene sulphonate Sodium 3-(4-anilino- phenylazo) benzene sulphonate 
Molecular weight 327.33 375.38 
Absorption maximum 502 nm 495 nm 
ParametersMethyl OrangeMetanil Yellow
Class Mono azo Mono azo 
Chemical formula C14H14N3NAO3C18H14N3NAO3
IUPAC name Sodium p-dimethyl- amino azo benzene sulphonate Sodium 3-(4-anilino- phenylazo) benzene sulphonate 
Molecular weight 327.33 375.38 
Absorption maximum 502 nm 495 nm 

Adsorbent

Grey-black colored granular and porous bottom ash was procured from Bharat Heavy Electrical Limited (BHEL), Bhopal. A Philips SEM 501 scanning electron microscope and Philips X-ray diffractophotometer using nickel-filtered CuKα radiation were employed for gathering information regarding the morphology and nature of the adsorbent. Further physical analysis of the adsorbent was carried out by using specific gravity bottles, surface area analyzer and mercury porosimeter.

Material development

Bottom ash was first cleansed with distilled water and was left for drying. The dehydrated material was further treated with hydrogen peroxide (H2O2) for 24 h to expel the organic impurities. The adsorbent was then washed again with distilled water and was kept in a hot air oven for the optimum time to remove moisture. Further bottom ash was activated by keeping it in a furnace maintained at 500 °C followed by sieving to get the desired particle size. The activated adsorbent was then preserved in desiccators for further use.

Kinetic studies

Adsorption kinetics was investigated by understanding the influence of factors like the effect of sieve sizes 36, 100 and 170 BSS mesh, adsorbent dosage (0.01–0.05 g), adsorbate concentration (1 × 10−5 to 10 × 10−5 M), contact time (30–330 min) and temperature (30–50 °C) on the rate of adsorption of the two azo dyes. Kinetics during the adsorption of the dyes onto bottom ash was examined at known dye concentrations in the pH range 2–10 and at different temperatures. Two separate 100 mL volumetric flasks containing 25 mL of test solutions having concentration 10 × 10−5 M for each adsorption system were employed at pH 3. Each solution was filtered after a fixed interval of time and was analyzed spectrophotometrically.

The contact-time experiment investigated the impact of system parameters on rate and adsorption of dye onto the adsorbent. It also helped in evaluating kinetic data essential for the rate-determining step. Thus equilibrium tests were performed to establish the time of attainment of equilibrium. The adsorption capacity at equilibrium was computed using the following relation:
formula
(1)
where qe is the amount of adsorption at equilibrium, Ce is the concentration of the dye at equilibrium (mol · L–1), Co is the initial concentration (mol · L–1), V is volume in litres and W is the mass (g).
For elucidation of the rate of reaction in the adsorption process, pseudo-first- and second-order kinetic models were employed. The pseudo-first-order kinetic relation given by Lagergren evaluates the adsorption mechanism considering adsorption to be a reversible process when dye molecules are adsorbed from their liquid state by a solid phase of adsorbent at equilibrium (Hema & Arivoli 2007; Wang et al. 2011; Zhang et al. 2012). The specified rate constants for the studied dyes onto bottom ash were calculated using the given equation:
formula
(2)
where qe and qt denote the amount adsorbed at equilibrium and at any time t respectively in mol · g–1 and kad is the first-order rate constant (s–1).
The above equation was linearized by integrating under the limits of t = 0 to t and qt = 0 to qt):
formula
(3)
where kad and qe were determined by calculating the slopes and intercepts from the plots of log(qe−qt) versus time respectively.
Adsorption rates during the studied process were further evaluated by applying the pseudo-second-order rate equation (Hu et al. 2011a, 2011b; Zhu et al. 2011). The specified rate constants for the studied systems were computed using the following relation:
formula
(4)
where k2 is the rate constant and qe and qt denote the amount adsorbed in mg · g–1 at equilibrium and at any time t, respectively.

Linear graphs of t/qt against t were plotted from which values of k2 and qe were obtained from the intercept and slope of the graph.

Mechanistic approach of kinetic data

Identification of dominant steps governing the adsorption process is important for proper interpretation of experimental data. The pioneer mathematical expression of Boyd et al. (1947) was applied to discover whether the adsorption process proceeded via particle or film diffusion. Quantitative treatment of adsorption dynamics was carried out for demonstrating the true process in the adsorption of both the dyes onto bottom ash using the following expressions:
formula
(5)
formula
(6)
where F is the fractional attainment of equilibrium at time t, n is the Freundlich constant of the adsorbate and Bt is the time constant after time t, and Qt and Q are amounts adsorbed (mol · g–1) after time t and after infinite time, respectively. Also,
formula
(7)
formula
(8)
formula
(9)
where B is the time constant, Di is the effective diffusion coefficient of adsorbate and ro is the radius of a spherical adsorbent particle, Ea is the energy of activation, d is the average distance between two successive sites of the adsorbent, k is the Boltzmann constant (J · K–1), h is Planck's constant (J · K–1), T is the temperature (K), ΔS# is the entropy of activation and R is the universal gas constant (J · K–1 · mol–1).

Bt values (Bt is the time constant after time t) obtained from Reichenberg's table assisted in plotting the graphs to distinguish the type of diffusion during the adsorption process (Reichenberg 1953).

Characterization of adsorbent

The adsorbent is constituted of the following: 15% moisture, 45.4% SiO2, 10.3% Al2O3, 9.7% Fe2O3, 15.3% CaO and 3.1% MgO. The scanning electron microscope photograph of activated bottom ash (Figure 1) revealed the surface and pore properties of the adsorbent along with its adsorptive nature. Differential thermal analysis (DTA) curves indicated that bottom ash was thermally stable and showed negligible weight loss even at high temperatures. The presence of mainly alumina (Al2O3), gypsum (CaSO4.2H2O), beverite (Pb(Cu,Fe,Al)3(SO4)2(OH)6), borax (Na2B4O7.10H2O) and kaolinite (2(Al2Si2O5(OH)4)) was confirmed by the d-spacing values provided by the X-ray spectrum of the adsorbent. Infrared spectrophotometric (Figure 2) study of bottom ash exhibited a sharp absorption band in the region of 3,700–3,500 cm–1. The bands at 3,467, 2,930, 2,676, 1,502, 1,097 and 790 cm–1 indicated the presence of laumonite, amber, mulite, azurite, bavenite and kaolinite (2(Al2Si2O5(OH)4)) in the adsorbent.

Figure 1

SEM photograph of the activated bottom ash particles at magnification 1 × 80.

Figure 1

SEM photograph of the activated bottom ash particles at magnification 1 × 80.

Close modal
Figure 2

Infra-red spectrum of activated bottom ash.

Figure 2

Infra-red spectrum of activated bottom ash.

Close modal

Kinetic studies

Impact of adsorbent dosage

In order to optimize the amount of adsorbent for removal, process tests were performed under predetermined conditions and the rate of the adsorption process was found to increase with the increase in the adsorbent dosage. Results showed that on increasing adsorbent dosage from 0.01 g to 0.05 g, adsorption of Methyl Orange increased from 11 × 10−5 g to 18 × 10−5 g from 30 to 50 °C respectively whereas Metanil Yellow adsorption increased from 42 × 10−5 g to 55 × 10−5 g at 50 °C. The optimum dosage for both the systems was found to be 0.05 g, as above this dose not much obvious adsorption was obtained. The statistical data obtained during investigation are presented in Table 2. It was also noted that with the rise in temperature, adsorption decreased, indicating an exothermic nature for both the studied systems. Further, the half-life of the process was evaluated for affirming the dependence of the rate of adsorption over different dosages of adsorbent (Sekar et al. 2004; Mittal et al. 2007). Investigations revealed the half-life for 0.05 g of adsorbent of 100 BSS mesh as 12.31 h for Methyl Orange and 8.64 h for Metanil Yellow.

Table 2

Effect of adsorbent doses on the adsorption of dyes under investigation

Amount of bottom ash (g)Amount adsorbed × 10−5g
Methyl Orange
Metanil Yellow
30 °C40 °C50 °C30 °C40 °C50 °C
0.01 18.08 12.77 11.61 67.44 52.71 42.49 
0.02 20.05 14.56 12.54 73.25 53.55 43.80 
0.03 24.62 20.56 18.97 75.41 55.90 47.18 
0.04 29.84 26.38 24.15 76.44 57.87 48.86 
0.05 36.41 34.04 28.06 79.35 59.65 55.71 
Amount of bottom ash (g)Amount adsorbed × 10−5g
Methyl Orange
Metanil Yellow
30 °C40 °C50 °C30 °C40 °C50 °C
0.01 18.08 12.77 11.61 67.44 52.71 42.49 
0.02 20.05 14.56 12.54 73.25 53.55 43.80 
0.03 24.62 20.56 18.97 75.41 55.90 47.18 
0.04 29.84 26.38 24.15 76.44 57.87 48.86 
0.05 36.41 34.04 28.06 79.35 59.65 55.71 

Impact of contact time

Contact time studies assisted in calculating the adsorption capacities of the dye at different time intervals with fixed adsorbent dosage (0.05 g) at three distinct temperatures (30, 40 and 50 °C). It was shown that for the Metanil Yellow–bottom ash system, 4 h of contact time was enough to acquire about 50% adsorption (Figure 3), while for the Methyl Orange–bottom ash system, saturation during adsorption was obtained in 5 h (Figure 3).

Figure 3

Effect of contact time on the uptakes of Methyl Orange (MO) and Metanil Yellow (MY) by bottom ash at different temperatures.

Figure 3

Effect of contact time on the uptakes of Methyl Orange (MO) and Metanil Yellow (MY) by bottom ash at different temperatures.

Close modal

Impact of concentration

The adsorption process for Methyl Orange–bottom ash and Metanil Yellow–bottom ash was investigated at concentrations ranging from 1 × 10–5 M to 10 × 10–5 M at a fixed pH and at different temperatures (30, 40 and 50 °C). The trend is confirmed from the calculated values of the amount adsorbed as percentage adsorption at higher concentration varied from 56.87% to 51.50% and 61.00% to 34.70% at 30 °C and 50 °C, respectively, for the Methyl Orange–bottom ash and Metanil Yellow–bottom ash systems.

Kinetic modelling

Pseudo-first-order kinetics

The kad values obtained for the two adsorbate–adsorbent systems are given in Table 3. It was found that the rate constant decreased for Methyl Orange as the temperature increased from 30 to 40 °C and the remained constant. For Metanil Yellow, the rate constant decreased with increase in temperature from 30 to 40 °C and then increased in moving to 50 °C.

Table 3

Pseudo-first-order rate constant during uptake of Methyl Orange and Metanil Yellow onto bottom ash

Adsorbatekad (×10−3)
30 °C40 °C50 °C
Methyl Orange 1.6 1.4 1.4 
Metanil Yellow 5.07 4.84 5.30 
Adsorbatekad (×10−3)
30 °C40 °C50 °C
Methyl Orange 1.6 1.4 1.4 
Metanil Yellow 5.07 4.84 5.30 

Pseudo-second-order kinetics

Figure 4 represents comparative graphical elucidation of the data for the pseudo-second-order model for both the systems. The results obtained for the amount of dye absorbed at equilibrium along with correlation coefficients of both the dye adsorption systems have been provided in Table 4.

Table 4

Pseudo-second-order rate constant during uptake of Methyl Orange and Metanil Yellow onto bottom ash

TemperatureMethyl Orange
Metanil Yellow
qe (mg g−1)R2qe (mg g−1)R2
30 °C 8.31 0.99 11.49 0.99 
40 °C 57.47 0.99 10.98 0.95 
50 °C 416.66 0.98 10.63 0.83 
TemperatureMethyl Orange
Metanil Yellow
qe (mg g−1)R2qe (mg g−1)R2
30 °C 8.31 0.99 11.49 0.99 
40 °C 57.47 0.99 10.98 0.95 
50 °C 416.66 0.98 10.63 0.83 
Figure 4

The pseudo-second-order plot for the Methyl Orange–bottom ash and Metanil Yellow–bottom ash systems.

Figure 4

The pseudo-second-order plot for the Methyl Orange–bottom ash and Metanil Yellow–bottom ash systems.

Close modal

Thus on the basis of the procured results, the pseudo-second-order rate expression successfully explained both the adsorption processes.

Based on the values of fractional attainment, Bt versus time plots were plotted to discriminate between the film diffusion and particle diffusion adsorption rates. For the Methyl Orange–bottom ash system, straight lines passed through the origin, while in case of Metanil Yellow the straight lines did not pass through the origin (Figure 5). The graphical plot indicated particle diffusion where external transport of the ions is less than the internal transport in the case of the Methyl Orange over bottom ash, while film diffusion dominates in the case of the Metanil Yellow–bottom ash system, where transport of the dye occurs on the surface of the adsorbent. The slopes of the Bt versus time graph (Figure 5) assisted in computing Di values for both the adsorbates at different temperatures.

Figure 5

Bt versus time plot.

Figure 5

Bt versus time plot.

Close modal

It was evident that there was an increase in mobility of ions since Di increased with increase in temperature suggesting the diminishing of retarding forces on diffusion of ions with the rise in temperature. The values of Do, Ea and ΔS# were assessed using the above relations and are presented in Table 5.

Table 5

Diffusion coefficients for removal of Methyl Orange and Metanil Yellow onto bottom ash during adsorption

AdsorbateLog Di
DoEa (J mol−1)S# (J K−1 mol−1)
30 °C40 °C50 °C
Methyl Orange −6.94 −7.06 −7.24 1.64 × 10−12 −28.1637 −410.29 
Metanil Yellow −5.55 −5.55 −5.54 3.85 × 10−12 813.34 −307.56 
AdsorbateLog Di
DoEa (J mol−1)S# (J K−1 mol−1)
30 °C40 °C50 °C
Methyl Orange −6.94 −7.06 −7.24 1.64 × 10−12 −28.1637 −410.29 
Metanil Yellow −5.55 −5.55 −5.54 3.85 × 10−12 813.34 −307.56 

It is clear from the kinetic studies that bottom ash acts as an effective adsorbent for the removal of both the soluble azo dyes from waste water. For both the adsorption processes (Methyl Orange–bottom ash and Metanil Yellow–bottom ash system) it is obtained that with increase in the amount of adsorbent the percentage as well as the rate of adsorption increases. The saturation in the adsorption for the Methyl Orange–bottom ash system and Metanil Yellow–bottom ash system was obtained in about 4 h and 5 h respectively. The second-order rate expression is applicable in both adsorption processes. Particle diffusion was operational in the case of Methyl Orange over bottom ash while film diffusion is operative in the case of the Metanil Yellow–bottom ash system.

Boyd
G. E.
Adamson
A. W.
Myers
L. S.
Jr.
1947
The exchange adsorption of ions from aqueous solutions by organic zeolites. II. Kinetics
.
J. Am. Chem. Soc.
69
(
11
),
2836
2848
.
Chequer
F. M. D.
de Oliveira
G. A. R.
Ferraz
E. R. A.
Cardoso
J. C.
Zanoni
M. V. B.
de Oliveira
D. P.
2013
Textile dyes: dyeing process and environmental impact
. In:
Eco-Friendly Textile Dyeing and Finishing
(
Gunay
M.
, ed.),
InTech, Rijeka
,
Croatia
, pp.
151
176
.
de Souza
S. M. A. G. U.
Bonilla
K. A. S.
de Souza
A. A. U.
2010
Removal of COD and color from hydrolyzed textile azo dye by combined ozonation and biological treatment
.
J. Hazard. Mater.
179
(
1–3
),
35
42
.
Gupta
V. K.
Khamparia
S.
Tyagi
I.
Jaspal
D.
Malviya
A.
2015
Decolorization of mixture of dyes: a critical review
.
Global J. Environ. Sci. Manage.
1
(
1
),
71
94
.
Hema
M.
Arivoli
S.
2007
Comparative study on the adsorption kinetics and thermodynamics of dyes onto acid activated low cost carbon
.
Int. J. Phys. Sci.
2
(
1
),
10
17
.
Hu
Q.
Meng
Y.
Sun
T.
Mahmood
Q.
Wu
D.
Zhu
J.
Lu
G.
2011a
Kinetics and equilibrium adsorption studies of dimethylamine (DMA) onto ion-exchange resin
.
J. Hazard. Mater.
185
(
2–3
),
677
681
.
Hu
X. J.
Wang
J. S.
Liu
Y. G.
Li
X.
Zeng
G. M.
Bao
Z. L.
Zeng
X. X.
Chen
A. W.
Long
F.
2011b
Adsorption of chromium (VI) by ethylenediamine-modified cross-linked magnetic chitosan resin: isotherms, kinetics and thermodynamics
.
J. Hazard. Mater.
185
(
1
),
306
314
.
Kalia
B. S.
Sharma
M.
Chauhan
G.
2019
Photo-catalytic dye degradation and antibacterial activity of hexadecylamine capped zinc sulphide nanoparticles
.
Res. J. Chem. Environ.
23
(
6
),
33
40
.
Kehinde
O. O.
Oluwatoyin
T. A.
Aderonke
O. O.
2009
Comparative analysis of the efficiencies of two low cost adsorbents in the removal of Cr(VI) and Ni(II) from aqueous solution
.
Afr. J. Environ. Sci. Technol.
3
(
11
),
360
369
.
Laing
I. G.
1991
The impact of effluent regulations on the dyeing industry
.
Prog. Color. Relat. Top.
21
(
1
),
56
71
.
Mittal
A.
Kaur
D.
Malviya
A.
Mittal
J.
Gupta
V. K.
2009
Adsorption studies on the removal of coloring agent phenol red from wastewater using waste materials as adsorbents
.
J. Colloid Interface Sci.
337
(
2
),
345
354
.
Qadeer
R.
Akhtar
S.
2005
Kinetics study of lead ion adsorption on active carbon
.
Turk. J. Chem.
29
(
1
),
95
100
.
Santhi
T.
Manonmani
S.
Vasantha
V. S.
Chang
Y. T.
2016
A new alternative adsorbent for the removal of cationic dyes from aqueous solution
.
Arabian J. Chem.
9
(
Supplement 1
),
S466
S474
.
Saracino
M.
Pretali
L.
Capobianco
M. L.
Emmi
S. S.
Navacchia
M. L.
Bezzi
F.
Mingazzini
C.
Burresi
E.
Zanelli
A.
2018
Titania nano-coated quartz wool for the photocatalytic mineralisation of emerging organic contaminants
.
Water Sci. Technol.
77
(
2
),
409
416
.
Tsai
W. T.
Chang
C. Y.
Ing
C. H.
Chang
C. F.
2004
Adsorption of acid dyes from aqueous solution on activated bleaching earth
.
J. Colloid Interface Sci.
275
(
1
),
72
78
.
Uddin
M. T.
Rahman
M. A.
Rukanuzzaman
M.
Islam
M. A.
2017
A potential low cost adsorbent for the removal of cationic dyes from aqueous solutions
.
Appl. Water Sci.
7
(
6
),
2831
2842
.
Vijayakumar
G.
Tamilarasan
R.
Dharmendirakumar
M.
2012
Adsorption, kinetic, equilibrium and thermodynamic studies on the removal of basic dye Rhodamine-B from aqueous solution by the use of natural adsorbent perlite
.
J. Mater. Environ. Sci.
3
(
1
),
157
170
.
Wang
M.
Huang
Z. H.
Liu
G.
Kang
F.
2011
Adsorption of dimethyl sulfide from aqueous solution by a cost-effective bamboo charcoal
.
J. Hazard. Mater.
190
(
1–3
),
1009
1015
.
Zhang
S.
Shao
T.
Kose
H. S.
Karanfil
T.
2012
Adsorption kinetics of aromatic compounds on carbon nanotubes and activated carbons
.
Environ. Toxicol. Chem.
31
(
1
),
79
85
.
Zhu
H. S.
Yang
X. J.
Mao
Y. P.
Chen
Y.
Long
X. L.
Yuan
W. K.
2011
Adsorption of EDTA on activated carbon from aqueous solutions
.
J. Hazard. Mater.
185
(
2–3
),
951
957
.