46
78 Chapter 4 Synthesis, characterization and adsorption behavior of MgO nanoparticles Nanocrystalline materials exhibit a wide array of unusual properties and can be considered as new materials that bridge molecular and condensed matter [1]. One of the unusual features is enhanced surface chemical reactivity (due to increased surface area) towards incoming adsorbates. Researchers have shown the use of nanocrystalline metal oxides like MgO, CaO, TiO 2 , Al 2 O 3 , MnO 2 and ZnAl layered double hydroxides and oxides as adsorbents for the removal of pollutants [2-5]. These nanomaterials were found to adsorb polar organics in very high capacities and substantially outperform the activated carbon samples that are normally utilized for such purposes. Many years of research have clearly established the destructive adsorption capability of nanoparticles towards many hazardous substances, including chlorocarbons, acid gases, common air-pollutants, dimethyl methylphosphonate (DMMP), paraoxon, 2- chloroethylethyl sulfide (2-CEES) and even some warfare agents. The enhanced chemical reactivity suggests a two-step decomposition mechanism of the adsorbates on nanoparticles (first step - adsorption of toxic agent on the surface by means of physisorption, followed by the second step - chemical decomposition). This two-step mechanism substantially enhances the detoxification abilities of nanoparticles because it makes the decomposition less dependent on the rate of chemical reaction. The rate of chemical reaction depends on the agent-nanoparticle combination; therefore, for some agents the rate may be quite low. In addition, the reaction rate strongly decreases at lower

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78

Chapter 4

Synthesis, characterization and adsorption

behavior of MgO nanoparticles

Nanocrystalline materials exhibit a wide array of unusual properties and can be

considered as new materials that bridge molecular and condensed matter [1]. One of the

unusual features is enhanced surface chemical reactivity (due to increased surface area)

towards incoming adsorbates. Researchers have shown the use of nanocrystalline metal

oxides like MgO, CaO, TiO2, Al2O3, MnO2 and Zn–Al layered double hydroxides and

oxides as adsorbents for the removal of pollutants [2-5]. These nanomaterials were found

to adsorb polar organics in very high capacities and substantially outperform the activated

carbon samples that are normally utilized for such purposes.

Many years of research have clearly established the destructive adsorption

capability of nanoparticles towards many hazardous substances, including chlorocarbons,

acid gases, common air-pollutants, dimethyl methylphosphonate (DMMP), paraoxon, 2-

chloroethylethyl sulfide (2-CEES) and even some warfare agents. The enhanced chemical

reactivity suggests a two-step decomposition mechanism of the adsorbates on

nanoparticles (first step - adsorption of toxic agent on the surface by means of

physisorption, followed by the second step - chemical decomposition). This two-step

mechanism substantially enhances the detoxification abilities of nanoparticles because it

makes the decomposition less dependent on the rate of chemical reaction. The rate of

chemical reaction depends on the agent-nanoparticle combination; therefore, for some

agents the rate may be quite low. In addition, the reaction rate strongly decreases at lower

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temperatures. For these reasons, any detoxification method that relies only on chemical

reactivity would not work for many toxic agents and would not be effective at low

temperatures. Reactive nanoparticles do not have this drawback because the surface

adsorption sites remain active even at very low temperatures. In fact, the physisorption of

the potential toxic agents is enhanced at low temperatures. In this way, the toxins are

trapped and eventually undergo “destructive adsorption”. It has been shown that

nanocrystalline metal oxides are particularly effective decontaminants for several classes

of environmentally problematic compounds at elevated temperatures; enabling complete

destruction of these compounds at considerably lower temperatures than that required for

incineration [6].

One of the most common metal oxides that have been synthesized in a range of

nanostructure morphologies is magnesium oxide (MgO) [7]. The MgO is considered as a

model system for solid state and surface studies because of its simple structure and ionic

bonding. Magnesium oxide is an important material for various applications including

catalysis, waste remediation, additives in refractory and paint products [8, 9]. It serve as

an effective chemisorbent for chlorocarbons, organophosphorus compounds and acidic

gases like SO2 and HCl [10-12]. MgO also acts as an anti-bacterial agent against

commonly found bacteria spores and viruses [13]. The other important environmental

remediation aspect of MgO includes its potential to scavenge fluoride from drinking

water. It has been established that the catalytic activity of MgO is due to a small number

of defect sites (steps, kinks, corners, etc.) with surface ions, particularly oxygen having

low coordination numbers. MgO is particularly interesting in nanoparticle form. This is

because higher surface area and increased adsorption capacities for different

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contaminants are possible when the MgO crystallite size is in the nanometer scale.

Smaller the crystallite size, better will the adsorption efficiency. It has been possible to

prepare MgO with very high surface area and with very small crystallite sizes [14]. The

high surface areas and the intrinsically high surface reactivity allow these materials to be

especially effective as adsorbents [15].

Nano-sized alkaline earth metal oxides, in particular magnesium oxide (MgO), is

a very promising material for applications as adsorbent due to its destructive sorbent,

high surface reactivity and adsorption capacity compared to their commercial analogues

and the simplicity of its production from abundant natural minerals [16-18]. Destructive

adsorbents are molecules that adsorb another chemical onto its surface where a reaction

occurs that degrades the original chemical to compound(s) with lower toxicity. The MgO

nanoparticles have been shown to be capable of exhibiting such destructive adsorption

[19-21].

The present chapter on the synthesis, characterization and adsorption behavior of

MgO nanoparticles has been divided into three sub-chapters.

In chapter 4.1, the synthesis of MgO nanoparticles by precipitation method has

been discussed. It further deals with the characterization of synthesized product by

thermal analysis (TGA), X-ray diffraction measurements, infrared spectroscopy and

morphological studies by field emission scanning electron microscopy (FESEM).

In chapter 4.2, the adsorption of textile dyes like Levafix fast red CA (LFR) and

Indanthren blue BC (IB) on MgO nanoparticles has been discussed. The adsorption

studies were carried out by batch experiments. The parameters like effect of pH,

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adsorption kinetics and adsorption thermodynamics have been discussed for both the

dyes.

In chapter 4.3, the adsorption of Acid Red 112 (AR 112) on MgO nanoparticles

has been discussed. The parameters like effect of pH, contact time and temperature have

been discussed. The kinetics and thermodynamics for the adsorption of AR 112 were

studied by using most popular models.

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Chapter 4.1

Synthesis and characterization of magnesium oxide

nanoparticles

In the present work, magnesium oxide (MgO) nanoparticles were synthesized by

precipitation method by using polyvinyl pyrrolidone (PVP) as capping agent. The as

prepared product was characterized by thermal analysis. Later, the calcined product was

characterized by FTIR, N2 adsorption studies, X-ray diffraction and FESEM analyses.

4.1.1 Thermogravimetric analysis (TGA)

Figure-4.1: TGA curve of the as prepared Mg(OH)2.

In order to obtain MgO nanoparticles from its hydroxide precursor, it is essential

to know the temperature at which Mg(OH)2 tranforms into MgO. The thermal behavior of

the precursor Mg(OH)2 prepared by precipitation method was studied using TGA. The

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precursor was subjected to heating in nitrogen atmosphere in alumina crucible at the rate

of 10° C/min. It can be seen from Figure 4.1 that, the precursor loses its weight in a

single step. The steep fall in the percentage weight loss is in the range of 300 - 350 °C.

This weight loss step may be attributed to the loss of water from Mg(OH)2 lattice

resulting in the formation of MgO. Thus the temperature above 350 ºC is considered as

an optimum calcination temperature for the formation of MgO nanoparticles from the

precursor.

4.1.2 X-ray diffraction studies

Figure-4.2: The XRD patterns of MgO prepared (a) with PVP and (b) without PVP.

The powder X-ray diffraction patterns of the products synthesized in the presence

and absence of polyvinyl pyrrolidone (PVP) are shown in Figure 4.2. All the diffraction

peaks matched well with the face centered cubic structure of periclase MgO (JCPDS No.

87-0653). The major peaks at 2θ values of 37.1º, 43.0º, 62.4º, 74.8º and 78.6º can be

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indexed to the lattice planes of (111), (200), (220), (311) and (222) respectively.

Furthermore, no characteristic peaks from other crystalline impurities were detected by

XRD, suggesting that the product was of pure magnesium oxide.

The intense peaks in the XRD pattern of MgO prepared using PVP (Figure 4.2a)

revealed that the obtained product was more crystalline than that obtained in the absence

of it. Further, the XRD peaks obtained for the product prepared in the presence of PVP

were slightly broader than those of the product prepared in the absence of PVP. This is

clearly related to the crystallite size of MgO. The crystallite size as calculated from

Scherrer’s equation [22] for MgO obtained in the presence and absence of PVP were

found to be 27 nm and 53 nm respectively. The observed difference in the crystallite size

may be attributed to the capping behavior of PVP which prevents uncontrolled crystal

growth during MgO precursor formation. However, the components of PVP were

removed during calcination process leaving behind pure crystalline MgO product.

4.1.3 FESEM and Surface area analysis

Figure-4.3: The FESEM micrographs of MgO prepared (a) with PVP and (b) without

PVP.

(a) (b)

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The surface and textural morphology of the product was studied by FESEM

analysis. As shown in Figure 4.3a, the average particle size of polyhedral MgO obtained

in presence of PVP is found to be 27 nm, while for the MgO obtained in absence of PVP

it is 100 nm (Figure 4.3b). Also the particles seem to be more agglomerated in the latter

case, which is a clear evidence for the capping and size controlling property of PVP.

Similar results were observed by Clifford Y. Tai et al. who synthesized MgO using same

precursors in a spinning disc reactor [23].

Figure-4.4: The N2 adsorption–desorption isotherm for nano magnesia prepared using

PVP.

The N2 adsorption–desorption isotherm for the prepared MgO sample is shown in

Figure 4.4. The nitrogen adsorption isotherm for the prepared sample could be classified

as type II with H3 hysteresis loop according to Brunauer–Deming–Deming–Teller

(BDDT) classification. The type H3 hysteresis loop, which does not clearly show any

adsorption plateau at relative pressures close to unity, is usually related to the existence

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of slit-shaped pores in materials indicative of a pore size distribution extending to the

macropore range [24]. From BET analysis, the specific surface area of MgO sample was

found to be 22.1 m2

g-1

with corresponding total pore volume of 0.36 cm3

g-1

(p/p0=0.990).

4.1.4 Fourier Transform Infrared Spectroscopy (FTIR)

Figure-4.5: The FTIR spectrum of MgO prepared using 1 M MgCl2, cacined at 500 ºC for

2 hrs.

The FTIR spectrum of magnesium oxide nanoparticles was recorded by making

pellet with KBr. The spectrum obtained is as shown in Figure 4.5. The broad bands

centered in the range 410–503 cm-1

and 1461 cm-1

corresponding to characteristic Mg-O-

Mg deformation and stretching vibrations, respectively [25]. The broad absorption peak

at 3448 cm-1

may be attributed to the O-H stretching vibration of surface adsorbed water

molecules while, the peak at 1643 cm-1

corresponds to the bending vibration of these

water molecules [26, 27].

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Chapter 4.2

Adsorption of Levafix fast red CA and Indanthren

blue BC from aqueous solution on MgO

nanoparticles

The dyes used in textile industries usually have complex structure and hence are resistant

to most of the degradative environmental conditions. Therefore the conventional

wastewater treatment methods remain ineffective [28]. At present, adsorption and

biological treatment are two major industrially viable techniques available for treating

dye wastewater. The biological process is difficult to start up and control [29] and the

intermediate products (aromatic amines) formed during anaerobic reduction of azo dyes

are known to be potential carcinogens [30]. Adsorption on the other hand, should be a

favorable procedure due to economic feasibility, simplicity of design, recycling of

adsorbent and nonexistence of harmful residues. Generally, the commercial activated

carbon is indeed effective for colour removal, but the high-cost of activated carbon has

restricted its widespread use. This compelled many researchers to search for other low-

cost and effective adsorbents for practical applications [31].

In the present work, magnesium oxide nanoparticles have been synthesized by

precipitation method using PVP as capping agent. Poly(N-vinyl-2-pyrrolidone) or PVP is

an organic polymer which is added during the wet-chemical synthesis for capping the

surface of the particles. The capping behavior of PVP may be clearly understood by

considering its structural details. PVP is structurally amphiphilic where the pyrrolidone

part (hydrophillic) acts as the head group, while the polyvinyl part (hydrophobic) acts as

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the tail group. According to G. Ghosh et al., the role of the PVP is two folds: (a) either it

controls the growth of the particles by forming passivation layers around the particle core

via coordination bond formation between the nitrogen atom of the PVP and M2+

ion,

and/or (b) it prevents agglomeration by steric effect due to the repulsive force acting

among the polyvinyl groups (tail part) [32]. Therefore, the PVP encapsulation results in

small sized crystals with huge surface area. Hence the MgO prepared using PVP was

found to possess high adsorption capacity and was used for further studies.

The synthesized nano MgO was employed as adsorbent for the removal of two

commercial textile dyes procured from DyStar, India. Levafix fast red CA (LFR) and

Indanthren blue BC (IB) belonging to reactive and vat dye families respectively were

chosen as model organic water pollutant. The adsorption performance of the synthesized

MgO towards these dyes was tested. Batch adsorption experiments were carried out in an

incubator shaker at constant temperature. The effect of operating parameters such as

contact time, temperature and pH were studied and optimized. Also the kinetics and

thermodynamics of adsorption has been studied.

4.2.1 Effect of contact time

The effect of contact time was studied by taking 200 mL of 50 ppm dye solution at pH

7.0 and with 0.5 g L-1

of MgO. An aliquot (5 mL) of dye sample was withdrawn from the

flask at regular time intervals, centrifuged and the concentration of dye in the supernatant

solution was subjected for analysis. The variation of adsorption capacity of nano

magnesia (prepared with and without PVP) towards LFR and IB with time is depicted in

Figure 4.6. The results revealed that the adsorption capacity of MgO obtained without

PVP (towards both LFR and IB) is much lower compared to that of MgO prepared with

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PVP. This may be attributed to the smaller particle size and larger surface area of MgO

particles obtained in the presence of PVP [33, 34]. The capping property exhibited by

PVP will result in small sized particles of MgO, as it evidenced by XRD and FESEM

results. The higher reactivity of smaller sized MgO particles is not only because of the

large specific surface area but also due to the high concentration of low-coordinated sites

and structural defects on their surface [35]. This clearly explains the high adsorption

capacity of MgO obtained in the presence of PVP. Several earlier workers have also

shown the use of PVP as capping agent for the synthesis of nanoparticles [36-39].

Figure-4.6: The Effect of contact time on the adsorption capacity of MgO prepared with

and without PVP towards (a) Levafix fast red CA (LFR) and (b) Indanthren blue BC (IB).

Figure 4.7 shows the variation of percentage dye removal by nano MgO with time

towards LFR and IB. The rapid initial adsorption is due to the high concentration gradient

of dye molecules between the surface active sites on the adsorbent and bulk solution. The

adsorption capacity reaches a limiting value after sometime where no more dye

adsorption is possible. This might be due to the saturation of surface active sites on the

adsorbent. It can be clearly seen from the figure that majority of adsorption from aqueous

solutions was completed within 45 min for LFR and 100 min for IB. The rapid and

(a) (b)

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greater adsorption of LFR compared to IB may be attributed to the presence of more

number of negatively charged groups on LFR.

Figure-4.7: Effect of contact time on the percentage dye removal capacity of MgO

nanoparticles toward LFR and IB.

4.2.2 Effect of pH

Figure-4.8: Influence of pH on the adsorption capacity of MgO nanoparticles towards

LFR and IB dyes.

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The solution pH is an important parameter that affects adsorption of dye

molecules. The effect of initial solution pH on the adsorption of LFR and IB onto nano

magnesia was assessed in the pH range of 3.0 - 12.0. The initial concentration of dye and

adsorbent dosage were set at 100 mg L-1

and 0.05 g respectively, for all the batch tests.

The variation of equilibrium adsorption capacity of nano MgO at different pH values for

LFR and IB is shown in Figure 4.8. The removal efficiency for LFR was found to be

increased with increase in solution pH upto 6.0, beyond which it decreased. However,

solution pH was found to have no influence on the adsorption of IB.

The effect of solution pH on the adsorption of LFR could be explained by

considering the surface charge of MgO and the dye molecule. At lower pH, the adsorbent

surface (MOH) will be completely covered by H+ ions (MOH2

+). At higher pH,

hydroxide ions react with the hydrous oxide to produce deprotonated oxide (MO-)

according to the following reactions [40].

2MOHHMOH (4.1)

OHMOOHMOH 2 (4.2)

OHMOOHMOH 22 22 (4.3)

Understanding the sorption of dye from aqueous solution on the oxides requires

knowledge of chemistry of the oxide/water interface. The increase in the removal

efficiency of LFR to its maximum value at pH 6.0 might be due to the electrostatic

attraction between the dye molecules (negatively charged) and MgO surface (positively

charged: pHzpc 12.4). However, an increase in the solution pH beyond 9.0 resulted in a

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sharp reduction in the removal efficiency. This might be explained by the formation of

OH− and subsequent competition with the LFR molecules for adsorption sites.

Indanthren Blue BC (IB) is insoluble but highly dispersible in water. Thus it

remains non-ionic in aqueous solution. Although the solution pH influences the surface

charge of adsorbent, the surface properties of IB remain unchanged. So the change in

solution pH did not influence the adsorption of IB.

4.2.3 Adsorption isotherms

Adsorption isotherms are the equilibrium relations between the concentration of

adsorbate on the solid phase and its concentration in the liquid phase. The adsorption

process is normally described by Langmuir and Freundlich adsorption isotherms. The

experimental data fitted well with Langmuir isotherm for the adsorption of both LFR and

IB (Figure 4.9 and 4.10), suggesting the monolayer coverage of dyes on the adsorbent

surface. The Freundlich model showed very poor fit for the experimental data in case of

both the dyes and hence the corresponding isotherm parameters are not shown here. This

result indicated the homogeneous nature of sample surface, i.e., each dye molecule

adsorption has equal adsorption activation energy and it clearly demonstrated the

formation of monolayer coverage of dye molecules on the surface of adsorbent.

Langmuir adsorption isotherm parameters were calculated for the adsorption of

two dyes and are listed in Table 4.1 and 4.2. The correlation co-efficient (R2) values were

found very close to 0.99 for both the dyes, which clearly indicated the suitability of

Langmuir model to describe the adsorption process.

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Figure-4.9: Langmuir adsorption isotherm plots at different temperatures for the

adsorption of LFR onto magnesium oxide nanoparticles.

Table-4.1: The parameters of Langmuir adsorption model for the adsorption of LFR onto

nano magnesia at different temperatures.

T (ºC) qmax (mg g-1

) KL (L mg-1

) R2 RL

25 92.16 0.220 0.994 0.025-0.154

35 55.83 0.230 0.996 0.024-0.148

45 39.34 0.142 0.996 0.038-0.219

55 28.88 0.095 0.995 0.057-0.174

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Figure-4.10: Langmuir adsorption isotherm plots at different temperatures for the

adsorption of IB onto magnesium oxide nanoparticles.

Table-4.2: The parameters of Langmuir model for the adsorption of IB onto nano

magnesia at different temperatures.

T (ºC) qmax (mg g-1

) KL (L mg-1

) R2 RL

25 86.50 0.397 0.997 0.014-0.092

35 44.07 0.154 0.995 0.031-0.205

45 22.60 0.063 0.983 0.083-0.388

55 15.29 0.048 0.937 0.106-0.454

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Table-4.3: Comparison of adsorption capacities of different adsorbents with MgO

nanoparticles toward reactive and vat dyes sorption.

Adsorbent

Dye qmax

(mg g-1

)

Reference

Amino functionalized

attapulgite

Reactive red 3BS 34.235

[44]

Dehydrated beet pulp Chemazol reactive red 195 58.0 [45]

Activated carbon Reactive red 24 64.94 [46]

Chitosan coated magnetic

nanoparticles

Reactive Yellow 145 47.62

[47]

Zn2SnO4 Reactive red 141 61.0 [48]

Polyurethane foam Reactive blue 21 8.31 [49]

MgO nanoparticles Lavfix Fast Rad CA 92.16 Present work

Smectite-rich clayey rock Vat blue 4 17.85 [50]

Cationic polymer/betonite

complex

Vat Scarlet R 16.43

[51]

Biosludge

Vat black 25

Vat yellow 1

40.0

49.3

[52]

MgO nanoparticles Vat blue 6 86.50 Present work

Adsorption capacities of different adsorbents towards various reactive and vat

dyes were compared with the MgO nanoparticles (Table 4.3). It is evident from the table

that the adsorption capacity of MgO nanoparticles is relatively higher than the most of the

other adsorbents reported earlier. The strong adsorption affinity of nano MgO towards the

dyes is due to its high specific surface area coupled with unusual surface morphologies.

Further it possesses more reactive surfaces due to the presence of high concentrations of

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edge and corner sites, and other defects. This allows nanoscale MgO to exhibit unique

surface chemistry, as demonstrated by its high adsorption capacity [41].

For the Langmuir-type adsorption process, the influence of the isotherm shape on

whether adsorption is favorable or not can be classified by a dimensionless separation

factor RL, which is considered as a more reliable indicator of the adsorption capacity.

This constant is evaluated from the following equation:

oL

LCK

R

1

1 (4.4)

where, Co : The initial concentration of dye and

KL : The Langmuir adsorption constant (L/mg).

The values of RL indicate the shapes of isotherms to be either unfavorable (RL>1),

linear (RL=1), favorable (0<RL<1) or irreversible (RL=0) [42]. Favorable adsorption is

reported when the RL values are between 0 and 1 [43]. In the present work, the RL values

were in the range of 0.024 – 0.219 and 0.014 - 0.388 for LFR and IB respectively (Table

4.2.1 and 4.2.2), which shows that the adsorption of both the dyes is favorable.

4.2.4 Adsorption thermodynamics

Adsorption studies were carried out at four different temperatures (298, 308, 318 and 328

K) separately for each dye using 25 mg of nano MgO and dye concentration of 50 mg L-1

.

The experimental results showed that the adsorption capacity decreased with increase in

the solution temperature for both the dyes. This indicated that the adsorption of LFR and

IB on MgO is exothermic in nature. The decrease in the rate of adsorption with increase

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in temperature is attributed to the tendency of dye molecules to escape from the solid

phase to bulk phase.

The values of thermodynamic parameters such as change in enthalpy (ΔH°),

change in entropy (ΔS°) and change in free energy (ΔG°) were determined by using the

van’t Hoff’s equation:

R

S

RTK

o

c

oH- ln (4.5)

e

Aec

C

CK (4.6)

where, Kc : The equilibrium constant,

CAe : The solid phase concentration at equilibrium (mg L-1

),

T : The temperature in Kelvin and

R : The gas constant.

The plot lnKc against 1/T gives a straight line with slope and intercept equal to -ΔH°/R

and ΔS°/R, respectively.

The values of ΔH° and ΔS° were calculated from Figure 4.11 and reported in

Table 4.4. The negative values of ΔH° indicated the exothermic nature of adsorption

process for both the dyes. The negative value of entropy change (ΔS°) corresponds to a

decrease in degrees of freedom of the adsorbed species. This clearly suggests the

decrease in concentration of adsorbate in solid–solution interface, thereby indicating an

increase in adsorbate concentration on the solid phase.

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Figure-4.11: Van’t Hoff’s plot for the adsorption of LFR and IB onto MgO nanoparticles.

Energy of activation (Ea)

It is possible to calculate the activation energy for the adsorption of dyes carried out at

different temperatures. The values of activation energy (Ea) and sticking probability (S*)

were calculated using a modified Arrhenius equation related to surface coverage (θ) [53]:

RTEaeS/* )1(

(4.7)

The S* is a function of the adsorbate/adsorbent system under investigation, its value lies

in the range 0 < S* < 1 and is dependent on the temperature of the system. The value of θ

can be calculated from the following equation:

0

1C

Ce (4.8)

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99

The value of Ea was calculated from the slope of the plot of ln(1−θ) versus 1/T [54]. The

values of Ea for the adsorption of LFR and IB onto MgO were found to be 77.72 kJ mol-1

and 57.37 kJ mol-1

respectively.

The Gibbs free energy of adsorption (ΔG°) was calculated from the following

relation and the values are given in Table 4.4.

ooo STHG (4.9)

The negative values of ΔG° indicated that the adsorption of both the dyes on nano

magnesia is a spontaneous process, whereby no energy input from outside of the system

is required. However, the values of ΔG° decreased with increasing temperature,

suggesting that the adsorption became less favorable at higher temperatures. As the

temperature increases, the mobility of dye molecules increases, causing the molecules to

escape from the solid phase to the liquid phase [55]. Therefore, the amount of dye that

can be adsorbed will decrease with increase in temperature. The increased mobility of

dye molecules at elevated temperature may also be reflected in the values of Kc (Table

4.2.4). As the temperature increased, the values of Kc decreased, indicating lower affinity

of the MgO nanoparticles towards the dye at higher temperatures.

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Table-4.4: Thermodynamic parameters for the adsorption of LFR and IB (50 mg L-1

) on

MgO nanoparticles at pH 6.0.

Dye T (°C) ΔG°

(kJ mol−1

)

ΔS°

(J K−1

mol−1

)

ΔH°

(kJ mol−1

)

Kc Ea S*

LFR 25 -8.871 -0.276 -91.238 43.99 77.72 8.3 × 10-13

35 -6.107 7.512

45 -3.343 3.374

55 -0.579 1.427

IB 25 -5.820 -0.249 -80.171 13.74 57.37 9.6 × 10-10

35 -3.325 2.341

45 -0.830 1.228

55 1.665 0.665

4.2.5 Adsorption kinetics

Kinetics is an important tool for adsorption studies, because it can predict the rate at

which a pollutant is removed from aqueous solutions and it provides a valuable data for

understanding the mechanism of adsorption reactions. The adsorption kinetic experiments

were carried out in batch mode by taking 200 mL of 50 ppm dye solution and 0.5 g L-1

of

MgO at pH 7.0. An aliquot (5 mL) of dye sample was withdrawn from the flask at regular

time intervals, centrifuged and the concentration of dye in the supernatant solution was

analysed.

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Figure-4.12: Pseudo-first-order plots for the adsorption of LFR and IB onto MgO

nanoparticles.

Figure-4.13: Pseudo-second-order plots for the adsorption of LFR and IB onto MgO

nanoparticles.

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Table-4.5: The pseudo-first-order and pseudo-second-order kinetic parameters for the

adsorption of LFR and IB on MgO nanoparticles (Dye: 50 ppm; pH: 7.0; MgO: 0.5 gL-1

).

In order to investigate the mechanism of dye adsorption onto MgO nanoparticles,

pseudo-first-order and pseudo-second-order models were adopted. The pseudo-first-order

and pseudo-second-order plots for the adsorption of LFR and IB are shown in Figure 4.12

and 4.13. The rate constants, calculated equilibrium adsorption capacity qe(cal) and

experimental equilibrium adsorption capacity qe(exp) for the adsorption of LFR and IB

obtained using the pseudo-first-order and pseudo-second-order models are listed in Table

4.5. Although the correlation coefficients of both pseudo-first-order and pseudo-second-

order kinetic models were comparable, the qe values calculated from pseudo-first-order

kinetic model were too small compared to the experimental values for both the dyes.

However, the calculated qe from pseudo-second-order kinetic model were close to the

experimental values in both the cases. Therefore, it can be concluded that pseudo-second-

order equation is better in describing the adsorption kinetics of both the dyes on MgO

nanoparticles. Several earlier workers have also shown that pseudo-second-order model

fits well in describing the adsorption process [56-58]. The pseudo-second-order model

Dye

qe(exp)

(mg g-1

)

Pseudo-first-order model Pseudo-second-order model

qe(cal)

(mg g-1

)

k1

(min-1

)

R2 qe(cal)

(mg g-1

)

k2

(g mg-1

min-1

)

R2

LFR 96.84 63.79 56.5×10-3

0.993 103.84 1.45×10-3

0.997

IB 93.22 52.35 21.97×10-3

0.997 85.62 1.72×10-3

0.995

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suggests that the adsorption depends on the adsorbate as well as the adsorbent and

involves chemisorption process in addition to physisorption [59].

The kinetic results were also analyzed by intra-particle diffusion model to gain

further insight into the adsorption behavior of dyes on MgO nanoparticles. The plots of qt

versus t0.5

for LFR and IB are shown in Figure 4.14. The values of kid and C were

calculated from the slope and intercept of plots of qt versus t0.5

and are summarized in

Table 4.6. Although, the plots for both the dyes were linear they do not pass through the

origin. Therefore it may be concluded that the boundary layer (film) diffusion is the rate

controlling step in the process of dye adsorption in the present case.

Figure-4.14: Intra-particle diffusion model for the adsorption of LFR and IB onto MgO

nanoparticles.

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Table-4.6: The Intra-particle diffusion model parameters for the adsorption of LFR and

IB onto MgO nanoparticles (Dye: 50 ppm; pH: 7.0; MgO: 0.5 g L-1

).

Dye kid (mg g-1

min-½

) C (mg g-1

) R2

LFR 9.628 31.25 0.998

IB 6.071 32.52 0.999

4.2.6 Regeneration of adsorbent

The recyclability of adsorbent is one of the crucial factors for its field applications. The

nano MgO could be recovered by combustion at 500 °C and reused. Thus recovered MgO

could remove similar amounts of dyes even after the second and third regenerations.

Hongmin Chen and Junhui He have also employed combustion for the regeneration of

Manganese Oxide nanomaterial [60]. Thus in the present study, the dye removal ability

of MgO was found to be retained even after three adsorption-combustion cycles, which

will make it cost-effective.

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Chapter 4.3

Adsorption of Acid Red 112 from aqueous solution

on MgO nanoparticles

Azo dyes constitute a largest group of compounds responsible for water pollution

worldwide. These dyes are invariably released as wastewater from textile, printing, paper,

cosmetic, food and pharmaceutical industries. The dyes used on commercial scale are

designed to resist environmental influences like heat, light, moisture, etc. Also the dye

containing wastewater has very low BOD/COD ratio since most of these dyes are toxic

and non-biodegradable. As a result they are hardly removed in the conventional methods

of treatment [61, 62]. If released without treatment, these dyes are not only harmful

themselves but can also yield dangerous byproducts through oxidation, reduction,

hydrolysis or other chemical reactions [63]. Dyes also affect the photosynthetic activity

of aquatic plants by reducing the penetration of sunlight and exchange of gases [64, 65].

Ponceau S (3-Hydroxy-4-(2-sulpho-4-[4-sulfophenylazo]phenylazo)-2,7-

naphthalene disulphonic acid sodium salt) also called Acid Red 112 (AR 112) is an acid

dye which is widely used in textile, leather and paper industries. This azo dye is anionic,

which is used in the textile industry for dyeing both natural and synthetic fibres. To a less

extent it is also used in a variety of applications such as in paints, inks and plastics. The

AR 112 is also used to prepare a stain for rapid reversible detection of protein bands

on nitrocellulose or PVDF membranes (Western blotting) [66]. However, its

biotransformation products have toxic effects against aquatic organisms and suspicious of

being carcinogenic for humans [67]. Very few researchers have worked on the removal of

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AR 112. Meena et al. showed nearly complete decolorization of AR 112 on methylene

blue immobilized resin Dowex-11 photocatalyst [67]. Some researchers have reported the

degradation of AR 112 by electrochemical advanced Fenton oxidation [68], while the

photodegradation of this dye using nanosized niobium pentoxide has been reported

recently [69]. Besides, few biological methods have also been reported for the

decolorization of AR 112 azo dye in aqueous solutions [70, 71]. The microbial

degradation is inefficient due to low and incomplete decolorization/degradation [68].

During the last decade much efforts have been devoted towards the synthesis and

characterization of nanostructured materials because of their unique physical and

chemical properties. The development of nanotechnology in various fields has widened

the application in wastewater treatment. Compared to the micron-sized conventional

adsorbents, nano-sized carriers possess quite good performance due to the high specific

surface area with little internal diffusion resistance [72]. Materials like nanoscale calcium

amino diphosphonates [73], Starch/polyaniline nanocomposite [72], carbon nanotubes

[74], surface modified zinc oxide nanoparticle [75], cobalt oxide nanopowders [76],

mesoporous γ-alumina [77], calcium alginate/multi-walled carbon nanotube biocomposite

[78], barium phosphate nano-flake [79], graphene–Fe3O4 nanocomposite [80], cadmium

hydroxide nanowires [81] have been shown to posses high adsorption capacity for dyes.

Due to their high surface area, large numbers of highly reactive edges, corner

defect sites, unusual lattice planes and high surface to volume ratio, nanocrystalline metal

oxides have gained considerable interest among researchers as potential adsorbents for

decontamination of wastewater [82]. In the present chapter removal of AR 112 from

aqueous solution by magnesium oxide (MgO) nanoparticles has been discussed. The

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influences of parameters like pH, contact time and temperature on the adsorption capacity

of MgO have been investigated. The adsorption isotherm studies have been carried out

using Langmuir and Freundlich models. The adsorption kinetics and thermodynamic

modeling has been also presented.

4.3.1 Effect of contact time

The variation of adsorption capacity of nano magnesia towards AR 112 with contact time

is depicted in Figure 4.15. It is evident from the figure that the adsorption was rapid

initially and later the dye removal percentage became almost constant. The initial rapid

adsorption is due to the presence of large number of active sites on the surface of MgO

nanoparticles and the high concentration gradient that exists between the MgO surface

and bulk solution. The adsorption equilibrium was attained within 120 min of contact

time with nearly 100% dye removal from the solution.

Figure-4.15: Effect of contact time on the adsorption capacity of MgO nanoparticles

towards AR 112.

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4.3.2 Effect of pH

Figure-4.16: Influence of pH on the adsorption capacity of MgO nanoparticles towards

AR 112.

The effect of pH on the adsorption performance was studied by conducting the

batch experiments for 100 ppm dye solutions at different initial pH (3.0 – 11.0). The

experiment has been carried out with 1.0 g L-1

of nano MgO at 298 K. Figure 4.16 shows

the variation of adsorption capacity of nano magnesia at different pH values. It can be

seen from the graph that, the equilibrium adsorption capacity increased with increase in

solution pH, reached maximum at pH 7.0 and then decreased. The lower qe values in

acidic pH may be due to slight dissolution of MgO, while higher qe values observed at

neutral and slightly basic pH may be explained by considering the surface charge of MgO

and dye molecules. The charge of the dye molecules is highly negative due to the

presence of four SO3- groups on each molecule. Electrostatic forces of attraction between

the positively charged MgO (pHZPC = 12.4) and negatively charged AR 112 is

responsible for the high adsorption capacity observed below pH 9.0. However, a drastic

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decrease in the dye removal efficiency is observed in highly basic conditions (above pH

9.0) which might be due to the formation of OH- and subsequent competition with the

dye molecules for adsorption sites [83].

4.3.3 Adsorption isotherms

Adsorption isotherms are important tools to describe the adsorption mechanism. The

equilibrium studies are useful to obtain the adsorption capacity of magnesium oxide

towards dye removal. An adsorption isotherm is characterized by certain constants that

express the surface properties and the affinity of the adsorbent towards dye molecules.

The equilibrium data for the adsorption of AR 112 on MgO nanoparticles were fitted into

two isotherm models at four different operating temperatures. In the present study,

Langmuir and Freundlich equilibrium models were used to investigate the mechanism of

AR 112 adsorption onto MgO nanoparticles.

Figure-4.17: Langmuir isotherm plots at different temperatures for the adsorption of AR

112 onto MgO nanoparticles.

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110

Figure-4.18: Freundlich isotherm plots at different temperatures for the adsorption of AR

112 onto MgO nanoparticles.

The plots obtained for Langmuir and Freundlich isotherm models at different

temperatures are shown in Figure 4.17 and 4.18 respectively. The parameters calculated

for the two isotherm models are summarized in Table 4.7. The correlation coefficient

(R2) values obtained from Langmuir model were above 0.99 at all the temperatures

studied indicating a good agreement of the data. Therefore it may be concluded that

Langmuir model is suitable to describe the adsorption of AR 112 on nano magnesia,

which emphasizes the formation of monolayer coverage of dye molecules on the surface

of adsorbent. The calculated maximum adsorption capacities (qmax) of nano MgO were

found to be 93.02, 96.9, 102.9 and 125.3 mg g-1

at 298, 308, 318 and 328 K respectively.

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Table-4.7: The parameters of Langmuir and Freundlich models for the adsorption of AR

112 onto MgO nanoparticles at different temperatures.

T (ºC) Langmuir Freundlich

qmax (mg g-1

) KL (L mg-1

) R2 RL Kf n R

2

25 93.02 0.416 0.993 0.029-0.074 53.70 7.479 0.969

35 96.90 0.438 0.995 0.022-0.071 58.99 8.733 0.981

45 102.9 0.896 0.998 0.012-0.027 76.82 13.82 0.971

55 125.3 0.504 0.996 0.021-0.038 77.13 7.99 0.976

Table-4.8: Comparison of adsorption capacities of different adsorbents with MgO

nanoparticles towards acid dye sorption.

Adsorbent

Dye qmax (mg g-1

)

Reference

Peat Acid Black 25 12.7 [84]

Modified bentonite

Acid Red 18

Acid Red23

69.8

75.4

[85]

Sawdust Acid Black 25 24.4 [86]

Activated bleaching earth Acid Orange 51 8.45 [87]

Sargassum glaucescens Acid Black 1 27.2 [88]

Modified feldspar

Acid Red 14

Acid Black 1

3.98

6.37

[89]

Chitosan-conjugated Fe3O4

nanoparticles

Acid Green 25 73.53

[90]

Activated carbon obtained

from pericarp of pecan

Acid Black 25 48.0

[91]

MgO nanoparticles Acid Red 112 93.02 Present work

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Table 4.8 gives comparison of the adsorption capacities of some of the other

adsorbents with nano MgO towards acid dyes. The table reveals that the adsorption

capacity of MgO used in the present study is higher than most of the other adsorbents.

The strong adsorption affinity of nano MgO towards the dye is probably due to its high

specific surface area coupled with electrostatic forces of attraction involved.

The RL vaues within the range 0 < RL < 1 indicate a favorable adsorption. In the

present study, RL values obtained were in the range of 0.012 – 0.074, indicating favorable

adsorption of dye on nano magnesia.

4.3.4 Adsorption thermodynamics

Figure-4.19: (a) Effect of temperature on the adsorption capacity of MgO nanoparticles;

(b) van’t Hoff’s plot for the adsorption of AR 112 onto MgO nanoparticles.

The effect of temperature on the adsorption of AR 112 on MgO nanoparticles was

studied by performing the adsorption experiments at different temperatures (298, 308,

318 and 328 K). The results revealed that the adsorption capacity increased with increase

in temperature from 298 to 328 K (Figure 4.19a), indicating the endothermic nature of

dye adsorption. This supports chemisorption of AR 112 where there is an increase in the

(a) (b)

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number of molecules acquiring sufficient energy to undergo chemical reaction with the

adsorbent at higher temperatures [97].

Table-4.9: Thermodynamic parameters for the adsorption of AR 112 (50 mg L-1

) on MgO

nanoparticles at pH 7.0.

T (°C) ΔG°

(kJ mol−1

)

ΔS°

(J K−1

mol−1

)

ΔH°

(kJ mol−1

)

Kc Ea

(kJ mol−1

)

S*

25 -2.053 0.147 41.78 2.597 34.89 2.4 × 10-7

35 -3.524 3.467

45 -4.995 6.373

55 -6.466 11.56

Figure 4.19b shows the van’t Hoff’s plot for the adsorption of AR 112 onto MgO

nanoparticles and the values of thermodynamic parameters obtained from the plot are

given in Table 4.9. The positive values of ΔH° and ΔS° showed that the adsorption

process is endothermic with the increase in randomness of the system [92]. The negative

values of free energy (ΔG°) indicated that the process of adsorption was spontaneous.

Further, the values of ΔG° became more negative at higher temperatures suggesting that

the adsorption became more favorable at higher temperatures.

Energy of activation

The values of activation energy (Ea) and sticking probability (S*) were calculated using

modified Arrhenius equation. The value of Ea was calculated from the slope of the plot of

ln(1−θ) versus 1/T. In the present case, the value of Ea was found to be 34.89 kJ mol-1

.

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4.3.5 Adsorption kinetics

The pseudo-first-order and pseudo-second-order plots for the adsorption of AR 112 on

nano MgO are shown in Figure 4.20a and 4.20b respectively. The values of rate constants

and calculated equilibrium adsorption capacity qe(cal) obtained for pseudo-first-order and

pseudo-second-order models and experimental equilibrium adsorption capacity qe(exp)

values are listed in Table 4.10.

Figure-4.20: (a) Pseudo-first-order and (b) pseudo-second-order plots for adsorption of

AR 112 onto MgO nanoparticles.

Figure-4.21: Intra-particle diffusion model for the adsorption of AR 112 onto MgO

nanoparticles.

(a) (b)

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Table-4.10: The pseudo-first-order and pseudo-second-order kinetic parameters for the

adsorption of AR 112 onto MgO nanoparticles (Dye: 50 ppm; pH: 7.0; MgO: 1.0 g L-1

).

Although high correlation coefficient values were obtained for both pseudo-first-

order and pseudo-second-order kinetic models, the qe value from pseudo-first-order is too

small compared to the experimental value. However, the qe value calculated from

pseudo-second-order kinetic model is close to the experimental value. Therefore, it can

be concluded that pseudo-second-order equation is better in describing the adsorption

kinetics of AR 112 on MgO nanoparticles. The pseudo-second-order model suggests that

the adsorption depends on the adsorbate as well as the adsorbent and involves

chemisorption.

The intra-particle diffusion model proposed by Weber and Morries was employed

to analyze the kinetic results. Figure 4.21 shows the plot of qt versus t0.5

for the

adsorption of AR 112. The plot is linear with high correlation coefficient (R2 = 0.999)

and it passes through the origin. This clearly indicated that during adsorption of AR 112,

intra-particle diffusion or pore diffusion is the rate limiting step. The value of kid was

found to be 5.54 mg g-1

min-0.5

.

qe(exp)

(mg g-1

)

Pseudo-first-order model Pseudo-second-order model

qe(cal)

(mg g-1

)

k1

(min-1

)

R2 qe(cal)

(mg g-1

)

k2

(g mg-1

min-1

)

R2

72.20 57.04 34.6×10-3

0.975 69.98 0.39×10-3

0.976

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4.3.6 Recyclability of adsorbent

As discussed in chapter 4.2, nano MgO adsorbent could be recovered by combustion at

500 °C and reused. Thus recovered MgO could remove similar amounts of AR 112 even

after the second and third regenerations. Thus the dye removal ability of MgO was found

to be retained even after three adsorption-combustion cycles.

4.4 Conclusions

The magnesium oxide nanoparticles with an average crystallite size of 27 nm were

successfully synthesized by precipitation method. The suitability of MgO nanoparticles

as adsorbent was checked for the removal of Levafix Fast Red CA (LFR), Indanthren

Blue BC (IB) and Acid Red 112 (AR 112). The adsorption equilibrium was attained

within 45 min for LFR, 100 min for IB and 120 min for AR 112. The pseudo-second-

order kinetic model well fitted for all the dyes indicating the possible involvement of

chemisorption. The intra-particle model suggested that boundary layer (film) diffusion is

the rate controlling step for adsorption of LFR and IB while, pore diffusion was found to

be the rate controlling step for the adsorption of AR 112 on nano MgO. The experimental

data fitted with Langmuir adsorption isotherm suggesting the monolayer coverage of

dyes on the adsorbent surface. At 298 K, maximum adsorption of 92.16 mg g-1

, 86.50 mg

g-1

and 93.02 mg g-1

were achieved for LFR, IB and AR 112, respectively. The

adsorption of LFR and AR 112 were found to be maximum in the pH range 6.0-7.0 and

electrostatic forces of attraction were responsible for the high adsorption capacity of

MgO. However, the pH had little effect on the adsorption of IB. The adsorption was

found to be spontaneous and exothermic for LFR and IB while, the adsorption of AR 112

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on nano MgO was found to be endothermic. The nano MgO is recyclable and hence may

serve as cost-effective adsorbent for dye removal from wastewater.

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