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SYNTHESIS OF NICKEL NANOPARTICLES AND
APPLICATION IN MALACHITE GREEN DYE
COLOUR REMOVAL USING ADSORPTION
Presented by
M. Bharath Kumar Naik
M.Tech-2nd year
15001D8117
Under the guidance of :
Dr. T. Bala Narasaiah, Professor
Co-guidance of :
Lt.S.Sharada, Assistant professor
Dept. of Chemical Engineering,
JNTUCEA, Ananthapuramu.
Contents
 Introduction
 Objectives
 Experimental protocol
 Results and discussion
 Conclusions
 References
 Publications
Introduction
 The most significant method in which humans
damage environmental surroundings is by
emitting harmful chemicals into the air and
water.
 Waste water generated from many industries,
consists of a mixture of various dyes.
 Most dyes are complex aromatic structures
which are difficult to be disposed.
 Furthermore, the color in water resources
poses aesthetic problem.
 They represent a relatively large group of
organic chemicals, non-biodegradable, with a
potential toxicity for the aquatic ecosystem.
Objectives
 Synthesis of Nickel nanoparticles in batch reactor using chemical
reduction method.
 Characterization by using different techniques like
 Fourier Transform Infra-red spectroscopy,
 X-ray Diffraction,
 Scanning Electron Microscopy,
 UV-visible spectroscopy and
 Dynamic light scattering.
 Application in dye color removal.
Synthesis Procedure
0.03M of Nicl2.6H2O + 4.8g
of PVP, dissolved in 480ml of
DW
1.25M of NaOH + 160ml
N2H4.H2O, dissolved in 160
ml of DW
Solution A Solution B
Stirring for 5 min
Mixing
Green White
Sonication for 15 min at 50ᵒ-60ᵒC
Centrifuged for 30min at 1500rpm
Royal blue
Initial solution grey
Washed with DW several times
Collected sample and dry at room temp.
Petri dish
Mortor and
pestle
Cont..
+
sonicated
Fig : synthesis of Nickel nanoparticles
Functional
groups
Spectra A
Frequency
cm-1
Spectra B
Frequency
cm-1
C-Cl
Stretching
677.95 680.55
C-O
Stretching
1138.37 1220.26
C-C cross
linked
stret.
1554.53 1587.96
C=O
Stretching
1695.25 1640.86
O-H
Stretching
3649.36 3669.28
Fig : FTIR spectra for (a) Ni and (b) Ni-PVP nanoparticles
Results and Discussion
FTIR (Fourier Transform Infra-red spectroscopy) Analysis :
XRD (X-Ray diffraction) analysis :
,” Journal of Nanotechnology, Volume 2014 (2014), Article ID 193162.
Fig : XRD pattern of (a) Nickel-PVP and (b) Nickel nanoparticles.
Ni :
JCPDS number : 04-0850
Crystal structure = FCC;
Planes- (111) and (200)
Estimated Crystallite size
= 13.46 nm
Ni-PVP :
JCPDS number : 04-0850
Crystal structure = FCC;
Planes- (111) and (200)
Estimated Crystallite size
= 11.06 nm
UV-visible spectroscopy :
Fig b: UV-Visible spectra for Ni nanoparticlesFig a: UV-Visible spectra for Ni-PVP nanoparticles
 Fig a shows clearly seen that the Surface Plasmon Resonance (SPR) of Ni-PVP
nanoparticles centered at 272 nm with an absorbance of 1.429.
 Fig b shows clearly seen that the Surface Plasmon Resonance (SPR) of Ni
nanoparticles centered at 250 nm with an absorbance of 1.124.
SEM(Scanning Electron Microscopy) analysis :
(a) (b)
(d)(c)
Fig a: SEM image for Ni-PVP nanoparticles Fig b: SEM image for Ni nanoparticles
 The prepared nanoparticles were found to be spherical and poly-dispersed with
diameters ranging from 50nm to 114 nm (shown in Figure a and b). The average size
for Ni-PVP and Ni nanoparticles was observed to be 72nm and 96nm.
Dynamic light scattering :
 Dynamic Light Scattering (DLS) measures size distribution. The particle size
distribution of Ni-PVP and Ni nanoparticles are diameter range 1-10 nm and 10-100
nm as determine on laser light scattering Particle size.
Fig a: Ni-PVP nanoparticles Fig a: Ni nanoparticles
Application (Adsorption)
Calibration curve for Malachite Green :
CONC.
OF
DYE(mg/
L)
%ABS
ORBA
NCE
2 0.089
4 0.252
6 0.482
8 0.612
10 0.726
y = 0.0817x - 0.058
R² = 0.9838
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0 2 4 6 8 10 12
%absorbance
concentration (mg/L)
Fig : Malachite green dye of different concentration
Various parameters on % Removal of Malachite Green :
1. Effect of Contact Time
TIME ABSORBAN
CE
(ce) %REMO
VAL
10 0.351 5.00 50
30 0.195 3.09 69.1
50 0.053 1.35 86.5
70 0.003 0.74 92.6
0
10
20
30
40
50
60
70
80
90
100
0 20 40 60 80
%Removal
Time (min)
Effect of time for 10ppm
%Removal
Fig : colour removal progress at different time interval
2. Effect of Adsorbent Dosage
TIME ABSORBAN
CE
(ce) %
REMOVAL
10 0.351 5.00 50
30 0.195 3.09 69.1
50 0.053 1.35 86.5
70 0.003 0.74 92.6
TIME ABSORBAN
CE
(ce) %
REMOVAL
10 0.241 3.65 63.5
30 0.173 2.18 78.2
50 0.051 1.33 86.7
70 0.002 0.73 92.7
Effect of Adsorbent dosage (0.05g) on
equilibrium adsorption
Effect of Adsorbent dosage (0.1g) on
equilibrium adsorption
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80
%Removal
Time (min)
Effect of Adsorbent dosage
0.05
0.1g
3. Effect of pH
TIME ABSORBANCE (ce) %Removal
10 0.241 3.65 63.5
30 0.173 2.18 78.2
50 0.051 1.33 86.7
70 0.002 0.73 92.7
TIME ABSORBANCE (ce) %Removal
10 0.170 2.79 72.1
30 0.152 2.57 74.3
50 0.014 0.88 91.2
70 0.002 0.73 92.7
TIME ABSORBANC
E
(ce) %Removal
10 0.127 2.26 77.4
30 0.124 2.22 77.8
50 0.012 0.85 91.5
70 0.001 0.72 92.8
pH=4 pH=6
pH=8
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80
%Removal
Time (min)
pH=4
pH=6
pH=8
Adsorption Kinetics :
TIME ABSORBANCE (ce) q
10 0.351 5 5.00
30 0.195 3.09 6.91
50 0.053 1.35 8.65
70 0.003 0.74 9.26
Effect of time on adsorption
When experimental “qe” is closer to theoretical “qe” value, we can say
adsorption process either Pseudo-first-order kinetic model (or) Pseudo-
second-order kinetic model.
Fig : Amount of adsorption (q) Vs time (t) curve
Pseudo-first-order kinetic model
ln (qe- qt) = lnqe- k1t
TIME ln (qe - qt)
10 1.44
30 0.85
50 -0.49
70 -1
 Slope gives k1 and intercept
gives qe.
Fig : pseudo first order curve
Pseudo-second-order kinetic model
TIME t/qt
10 2
30 4.3
50 5.8
70 7.5
 Slope gives qe and intercept
gives k2.
The R2 value is also very high as compared to the pseudo-first-order model.
Thus it is concluded that pseudo-second-order is the best fitting kinetic model.
Fig : Pseudo-second order curve
Adsorption Isotherms
Langmuir isotherm model
Cf Cf/qe
5 0.54
3.09 0.33
1.35 0.14
0.74 0.08
J.Hazard. Mater. 154 (2008) 613-622.
 Slope gives al/kl and intercept gives qe.
Fig : Langmuir isotherm model
Freundlich isotherm model :
 Slope gives ‘n’ value and intercept
gives Kf value.
lncf lnqt
1.61 1.61
1.13 1.93
0.30 2.15
0 2.25
J.Hazard. Mater. 154 (2008) 613-622.
Fig : Freundlich isotherm model
It is observed that both isotherm curves fit well with the adsorption system as their
R2. For fit of experimental isotherm data to Langmuir equation is more close to
1.000 than freundlich equation.
Therefore, the Langmuir isotherm model represents the experimental data better on
the basis of values of regression coefficient.
Langmuir Isotherm
al kl kl/al Rl
(0<Rl<1)
R2
7.199 333.33 46 0.0137 0.999
Freundlich Isotherm
kf (1/n) R2
9.66 -0.373 0.995
Conclusions
 Nickel and Nickel-PVP nanoparticles synthesized by using in chemical reduction
method.
 Thus prepared nanoparticles are spherical and polydispersed , The average size of
Ni-PVP and Ni nanoparticles are 72 nm and 92 nm.
 UV-Vis characterization is done for Ni and Ni-PVP nanoparticles, absorbance peak
is observed at 272 nm and 250 nm respectively.
 FTIR study revealed the bonds(O-H ,C=O ,C-C, C-O and C-Cl).
 XRD shows crystallite size of the 11.06 nm and 13.46 nm for Ni-PVP and Ni
nanoparticles respectively .
 The particle size distribution of as determine on laser light scattering Particle
size analyzer is 1-10 nm .
 Malachite green (dye) was removed up to 92.8%.
 In adsorption kinetics, pseudo-second-order model R2 value is also very high as
compared to the pseudo-first-order model. Thus it is concluded that pseudo-
second-order is the best fitting kinetic model.
 In adsorption isotherms model both isotherm curves fit well with the adsorption
system as their R2. For fit of experimental isotherm data to Langmuir equation
is more close to 1.000 than freundlich equation.
 Langmuir model represents better values of regression coefficient.
Cont..
Conferences
 Presented a paper on “Synthesis of Nickel nanoparticles particles application
in dye degradation” in the national conference on “Recent advances in
Polymer Technology and Industrial Applications(RAPTIA-2017)”, held
during 17th&18th February 2017, at GNITC Hyderabad.
 Paper presented on “Review on dye degradation using nanoparticles”
in the national conference on “pollution control strategies in chemical &
related industries(PCSCRI-2017)”, held during 10th & 11th March 2017,
at SVU Tirupathi.
References
1. Dash Bibek, “Competitive Adsorption of dyes (Congo red, methylene blue, malachite
green) on Activated Carbon”, 2009.
2. Faradilla Binti Lokman, “Dye removal from simulated wastewater by using empty fruit
bunch as an adsorbent agent”, 2006.
3. H. Chen · J. Zhao, “Adsorption study for removal of Congo red anionic dye using
organo-attapulgite”, Adsorption 15: 381–389, 2009.
4. Parashar, Chetna, “Removal of Malachite Green dyes by adsorption using char,” Diss.
2012.
5. Ravindra D.kale and prerana B.kane, “colour removal using nanoparticles”, Textile
and clothing sustainability, (2016) 2:4.
6. Dalia Khalid Mahmoud. et al, “Batch adsorption of basic dye using acid treated kenaf
fibre char: Equilibrium, kinetic and thermodynamic studies”, 2011.
7. H. Chen · J. Zhao, “Adsorption study for removal of Congo red anionic dye using
organo-attapulgite”, Adsorption 15: 381–389, 2009.
8. E. Bulut, M. Ozacar, I.A. Sengil, Equilibrium and kinetic data and process design for
adsorption of Congo red onto bentonite, J. Hazard. Mater. 154 (2008) 613–622.
9. Yong Zhang, et al, “Adsorption Equilibrium and Kinetics of the Removal of Ammoniacal
Nitrogen by Zeolite X/Activated Carbon Composite Synthesized from Elutrilithe”, 2017.
10. El-Araby, Haitham Ahmed, et al. "Sesame Husk as Adsorbent for Copper (II) Ions
Removal from Aqueous Solution." Journal of Geoscience and Environment
Protection 5.07 (2017): 109.
11. Bhakya, S., et al. "Catalytic degradation of organic dyes using synthesized silver
nanoparticles: a green approach." Journal of Bioremediation & Biodegradation 6.5
(2015): 1.
12. Banerjee, Priya, et al. "Leaf extract mediated green synthesis of silver nanoparticles
from widely available Indian plants: synthesis, characterization, antimicrobial
property and toxicity analysis." Bio resources and Bio processing 1.1 (2014): 3.
13. Tientong, Jeerapan, et al. "Synthesis of nickel and nickel hydroxide nanopowders by
simplified chemical reduction." Journal of Nanotechnology 2014 (2014).
14. Afkhami, Abbas, and Rasoul Norooz-Asl. "Removal, preconcentration and
determination of Mo (VI) from water and wastewater samples using maghemite
nanoparticles." Colloids and Surfaces A: Physicochemical and Engineering
Aspects 346.1 (2009): 52-57.
15. Bhatnagar, Amit, and A. K. Jain. "A comparative adsorption study with different
industrial wastes as adsorbents for the removal of cationic dyes from water." Journal
of Colloid and Interface Science281.1 (2005): 49-55.
Cont..
16. Wu, Szu-Han, and Dong-Hwang Chen. "Synthesis and characterization of nickel
nanoparticles by hydrazine reduction in ethylene glycol." Journal of Colloid and
Interface Science 259.2 (2003): 282-286
17. Wu, Zhi Gang, M. Munoz, and O. Montero. "The synthesis of nickel nanoparticles by
hydrazine reduction." Advanced Powder Technology 21.2 (2010): 165-168.
18. Eluri, Ravi, and Brian Paul. "Synthesis of nickel nanoparticles by hydrazine reduction:
mechanistic study and continuous flow synthesis." Journal of Nanoparticle Research 14.4
(2012): 800.
19. Syed, Shabudeen PS. "Study of the removal of malachite green from aqueous solution by
using solid agricultural waste." Research Journal of Chemical Sciences Vol 1 (2011): 1.
20. Ashok kumar Popuri et al., “Color Removal from Dye Wastewater Using Adsorption”,
2016.
21. Roya Nateghi et al. “Decolorization of synthetic wastewaters by nickel oxide
nanoparticle”, 2017.
22. Prerana Kane et al. “Decolourization of C. I. Reactive Black 5 by PVP stabilized Nickel
nanoparticles”, 2014.
23. N. A. Oladoja, C. O. Aboluwaye, Y. B. Oladimeji, “Kinetics and Isotherm Studies on
Methylene Blue Adsorption onto Ground Palm Kernel Coat”, Turkish J. Eng. Env. Sci.32,
303 – 312, 2008.
Cont..
24. Mi-Hwa Baek, Christianah Olakitan Ijagbemi, Se-Jin O, Dong-Su Kim, “Removal of
Malachite Green from aqueous solution using degreased coffee bean”, Journal of
Hazardous Materials 176 820–828,2010.
25. M. Anbia, A.Ghaffari, “Removal of Malachite Green from Dye Wastewater Using
Mesoporous Carbon Adsorbent”, J. Iran. Chem. Soc., Vol. 8, No. Suppl., pp. S67-S76,
February 2011.
26. Mohd Azmier Ahmad, Rasyidah Alrozi. “Removal of malachite green dye from
aqueous solution using rambutan peel-based activated carbon”: Equilibrium, kinetic and
thermodynamic studies, Chemical Engineering Journal 171 510– 516, 2011.
27. B.H. Hameeda, M.I. El-Khaiaryb. “Malachite green adsorption by rattan sawdust:
Isotherm, kinetic and mechanism modeling”, Journal of Hazardous Materials 159 574–
579, 2010.
Cont..
SYNTHESIS OF NICKEL NANOPARTICLES AND APPLICATION IN MALACHITE GREEN DYE COLOUR REMOVAL USING ADSORPTION

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SYNTHESIS OF NICKEL NANOPARTICLES AND APPLICATION IN MALACHITE GREEN DYE COLOUR REMOVAL USING ADSORPTION

  • 1. SYNTHESIS OF NICKEL NANOPARTICLES AND APPLICATION IN MALACHITE GREEN DYE COLOUR REMOVAL USING ADSORPTION Presented by M. Bharath Kumar Naik M.Tech-2nd year 15001D8117 Under the guidance of : Dr. T. Bala Narasaiah, Professor Co-guidance of : Lt.S.Sharada, Assistant professor Dept. of Chemical Engineering, JNTUCEA, Ananthapuramu.
  • 2. Contents  Introduction  Objectives  Experimental protocol  Results and discussion  Conclusions  References  Publications
  • 3. Introduction  The most significant method in which humans damage environmental surroundings is by emitting harmful chemicals into the air and water.  Waste water generated from many industries, consists of a mixture of various dyes.  Most dyes are complex aromatic structures which are difficult to be disposed.  Furthermore, the color in water resources poses aesthetic problem.  They represent a relatively large group of organic chemicals, non-biodegradable, with a potential toxicity for the aquatic ecosystem.
  • 4. Objectives  Synthesis of Nickel nanoparticles in batch reactor using chemical reduction method.  Characterization by using different techniques like  Fourier Transform Infra-red spectroscopy,  X-ray Diffraction,  Scanning Electron Microscopy,  UV-visible spectroscopy and  Dynamic light scattering.  Application in dye color removal.
  • 5. Synthesis Procedure 0.03M of Nicl2.6H2O + 4.8g of PVP, dissolved in 480ml of DW 1.25M of NaOH + 160ml N2H4.H2O, dissolved in 160 ml of DW Solution A Solution B Stirring for 5 min Mixing Green White Sonication for 15 min at 50ᵒ-60ᵒC Centrifuged for 30min at 1500rpm Royal blue Initial solution grey Washed with DW several times Collected sample and dry at room temp. Petri dish Mortor and pestle
  • 6. Cont.. + sonicated Fig : synthesis of Nickel nanoparticles
  • 7. Functional groups Spectra A Frequency cm-1 Spectra B Frequency cm-1 C-Cl Stretching 677.95 680.55 C-O Stretching 1138.37 1220.26 C-C cross linked stret. 1554.53 1587.96 C=O Stretching 1695.25 1640.86 O-H Stretching 3649.36 3669.28 Fig : FTIR spectra for (a) Ni and (b) Ni-PVP nanoparticles Results and Discussion FTIR (Fourier Transform Infra-red spectroscopy) Analysis :
  • 8. XRD (X-Ray diffraction) analysis : ,” Journal of Nanotechnology, Volume 2014 (2014), Article ID 193162. Fig : XRD pattern of (a) Nickel-PVP and (b) Nickel nanoparticles. Ni : JCPDS number : 04-0850 Crystal structure = FCC; Planes- (111) and (200) Estimated Crystallite size = 13.46 nm Ni-PVP : JCPDS number : 04-0850 Crystal structure = FCC; Planes- (111) and (200) Estimated Crystallite size = 11.06 nm
  • 9. UV-visible spectroscopy : Fig b: UV-Visible spectra for Ni nanoparticlesFig a: UV-Visible spectra for Ni-PVP nanoparticles  Fig a shows clearly seen that the Surface Plasmon Resonance (SPR) of Ni-PVP nanoparticles centered at 272 nm with an absorbance of 1.429.  Fig b shows clearly seen that the Surface Plasmon Resonance (SPR) of Ni nanoparticles centered at 250 nm with an absorbance of 1.124.
  • 10. SEM(Scanning Electron Microscopy) analysis : (a) (b) (d)(c) Fig a: SEM image for Ni-PVP nanoparticles Fig b: SEM image for Ni nanoparticles  The prepared nanoparticles were found to be spherical and poly-dispersed with diameters ranging from 50nm to 114 nm (shown in Figure a and b). The average size for Ni-PVP and Ni nanoparticles was observed to be 72nm and 96nm.
  • 11. Dynamic light scattering :  Dynamic Light Scattering (DLS) measures size distribution. The particle size distribution of Ni-PVP and Ni nanoparticles are diameter range 1-10 nm and 10-100 nm as determine on laser light scattering Particle size. Fig a: Ni-PVP nanoparticles Fig a: Ni nanoparticles
  • 12. Application (Adsorption) Calibration curve for Malachite Green : CONC. OF DYE(mg/ L) %ABS ORBA NCE 2 0.089 4 0.252 6 0.482 8 0.612 10 0.726 y = 0.0817x - 0.058 R² = 0.9838 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 2 4 6 8 10 12 %absorbance concentration (mg/L) Fig : Malachite green dye of different concentration
  • 13. Various parameters on % Removal of Malachite Green : 1. Effect of Contact Time TIME ABSORBAN CE (ce) %REMO VAL 10 0.351 5.00 50 30 0.195 3.09 69.1 50 0.053 1.35 86.5 70 0.003 0.74 92.6 0 10 20 30 40 50 60 70 80 90 100 0 20 40 60 80 %Removal Time (min) Effect of time for 10ppm %Removal Fig : colour removal progress at different time interval
  • 14. 2. Effect of Adsorbent Dosage TIME ABSORBAN CE (ce) % REMOVAL 10 0.351 5.00 50 30 0.195 3.09 69.1 50 0.053 1.35 86.5 70 0.003 0.74 92.6 TIME ABSORBAN CE (ce) % REMOVAL 10 0.241 3.65 63.5 30 0.173 2.18 78.2 50 0.051 1.33 86.7 70 0.002 0.73 92.7 Effect of Adsorbent dosage (0.05g) on equilibrium adsorption Effect of Adsorbent dosage (0.1g) on equilibrium adsorption 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 %Removal Time (min) Effect of Adsorbent dosage 0.05 0.1g
  • 15. 3. Effect of pH TIME ABSORBANCE (ce) %Removal 10 0.241 3.65 63.5 30 0.173 2.18 78.2 50 0.051 1.33 86.7 70 0.002 0.73 92.7 TIME ABSORBANCE (ce) %Removal 10 0.170 2.79 72.1 30 0.152 2.57 74.3 50 0.014 0.88 91.2 70 0.002 0.73 92.7 TIME ABSORBANC E (ce) %Removal 10 0.127 2.26 77.4 30 0.124 2.22 77.8 50 0.012 0.85 91.5 70 0.001 0.72 92.8 pH=4 pH=6 pH=8 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 %Removal Time (min) pH=4 pH=6 pH=8
  • 16. Adsorption Kinetics : TIME ABSORBANCE (ce) q 10 0.351 5 5.00 30 0.195 3.09 6.91 50 0.053 1.35 8.65 70 0.003 0.74 9.26 Effect of time on adsorption When experimental “qe” is closer to theoretical “qe” value, we can say adsorption process either Pseudo-first-order kinetic model (or) Pseudo- second-order kinetic model. Fig : Amount of adsorption (q) Vs time (t) curve
  • 17. Pseudo-first-order kinetic model ln (qe- qt) = lnqe- k1t TIME ln (qe - qt) 10 1.44 30 0.85 50 -0.49 70 -1  Slope gives k1 and intercept gives qe. Fig : pseudo first order curve
  • 18. Pseudo-second-order kinetic model TIME t/qt 10 2 30 4.3 50 5.8 70 7.5  Slope gives qe and intercept gives k2. The R2 value is also very high as compared to the pseudo-first-order model. Thus it is concluded that pseudo-second-order is the best fitting kinetic model. Fig : Pseudo-second order curve
  • 19. Adsorption Isotherms Langmuir isotherm model Cf Cf/qe 5 0.54 3.09 0.33 1.35 0.14 0.74 0.08 J.Hazard. Mater. 154 (2008) 613-622.  Slope gives al/kl and intercept gives qe. Fig : Langmuir isotherm model
  • 20. Freundlich isotherm model :  Slope gives ‘n’ value and intercept gives Kf value. lncf lnqt 1.61 1.61 1.13 1.93 0.30 2.15 0 2.25 J.Hazard. Mater. 154 (2008) 613-622. Fig : Freundlich isotherm model
  • 21. It is observed that both isotherm curves fit well with the adsorption system as their R2. For fit of experimental isotherm data to Langmuir equation is more close to 1.000 than freundlich equation. Therefore, the Langmuir isotherm model represents the experimental data better on the basis of values of regression coefficient. Langmuir Isotherm al kl kl/al Rl (0<Rl<1) R2 7.199 333.33 46 0.0137 0.999 Freundlich Isotherm kf (1/n) R2 9.66 -0.373 0.995
  • 22. Conclusions  Nickel and Nickel-PVP nanoparticles synthesized by using in chemical reduction method.  Thus prepared nanoparticles are spherical and polydispersed , The average size of Ni-PVP and Ni nanoparticles are 72 nm and 92 nm.  UV-Vis characterization is done for Ni and Ni-PVP nanoparticles, absorbance peak is observed at 272 nm and 250 nm respectively.  FTIR study revealed the bonds(O-H ,C=O ,C-C, C-O and C-Cl).  XRD shows crystallite size of the 11.06 nm and 13.46 nm for Ni-PVP and Ni nanoparticles respectively .
  • 23.  The particle size distribution of as determine on laser light scattering Particle size analyzer is 1-10 nm .  Malachite green (dye) was removed up to 92.8%.  In adsorption kinetics, pseudo-second-order model R2 value is also very high as compared to the pseudo-first-order model. Thus it is concluded that pseudo- second-order is the best fitting kinetic model.  In adsorption isotherms model both isotherm curves fit well with the adsorption system as their R2. For fit of experimental isotherm data to Langmuir equation is more close to 1.000 than freundlich equation.  Langmuir model represents better values of regression coefficient. Cont..
  • 24. Conferences  Presented a paper on “Synthesis of Nickel nanoparticles particles application in dye degradation” in the national conference on “Recent advances in Polymer Technology and Industrial Applications(RAPTIA-2017)”, held during 17th&18th February 2017, at GNITC Hyderabad.  Paper presented on “Review on dye degradation using nanoparticles” in the national conference on “pollution control strategies in chemical & related industries(PCSCRI-2017)”, held during 10th & 11th March 2017, at SVU Tirupathi.
  • 25.
  • 26.
  • 27. References 1. Dash Bibek, “Competitive Adsorption of dyes (Congo red, methylene blue, malachite green) on Activated Carbon”, 2009. 2. Faradilla Binti Lokman, “Dye removal from simulated wastewater by using empty fruit bunch as an adsorbent agent”, 2006. 3. H. Chen · J. Zhao, “Adsorption study for removal of Congo red anionic dye using organo-attapulgite”, Adsorption 15: 381–389, 2009. 4. Parashar, Chetna, “Removal of Malachite Green dyes by adsorption using char,” Diss. 2012. 5. Ravindra D.kale and prerana B.kane, “colour removal using nanoparticles”, Textile and clothing sustainability, (2016) 2:4. 6. Dalia Khalid Mahmoud. et al, “Batch adsorption of basic dye using acid treated kenaf fibre char: Equilibrium, kinetic and thermodynamic studies”, 2011. 7. H. Chen · J. Zhao, “Adsorption study for removal of Congo red anionic dye using organo-attapulgite”, Adsorption 15: 381–389, 2009. 8. E. Bulut, M. Ozacar, I.A. Sengil, Equilibrium and kinetic data and process design for adsorption of Congo red onto bentonite, J. Hazard. Mater. 154 (2008) 613–622. 9. Yong Zhang, et al, “Adsorption Equilibrium and Kinetics of the Removal of Ammoniacal Nitrogen by Zeolite X/Activated Carbon Composite Synthesized from Elutrilithe”, 2017.
  • 28. 10. El-Araby, Haitham Ahmed, et al. "Sesame Husk as Adsorbent for Copper (II) Ions Removal from Aqueous Solution." Journal of Geoscience and Environment Protection 5.07 (2017): 109. 11. Bhakya, S., et al. "Catalytic degradation of organic dyes using synthesized silver nanoparticles: a green approach." Journal of Bioremediation & Biodegradation 6.5 (2015): 1. 12. Banerjee, Priya, et al. "Leaf extract mediated green synthesis of silver nanoparticles from widely available Indian plants: synthesis, characterization, antimicrobial property and toxicity analysis." Bio resources and Bio processing 1.1 (2014): 3. 13. Tientong, Jeerapan, et al. "Synthesis of nickel and nickel hydroxide nanopowders by simplified chemical reduction." Journal of Nanotechnology 2014 (2014). 14. Afkhami, Abbas, and Rasoul Norooz-Asl. "Removal, preconcentration and determination of Mo (VI) from water and wastewater samples using maghemite nanoparticles." Colloids and Surfaces A: Physicochemical and Engineering Aspects 346.1 (2009): 52-57. 15. Bhatnagar, Amit, and A. K. Jain. "A comparative adsorption study with different industrial wastes as adsorbents for the removal of cationic dyes from water." Journal of Colloid and Interface Science281.1 (2005): 49-55. Cont..
  • 29. 16. Wu, Szu-Han, and Dong-Hwang Chen. "Synthesis and characterization of nickel nanoparticles by hydrazine reduction in ethylene glycol." Journal of Colloid and Interface Science 259.2 (2003): 282-286 17. Wu, Zhi Gang, M. Munoz, and O. Montero. "The synthesis of nickel nanoparticles by hydrazine reduction." Advanced Powder Technology 21.2 (2010): 165-168. 18. Eluri, Ravi, and Brian Paul. "Synthesis of nickel nanoparticles by hydrazine reduction: mechanistic study and continuous flow synthesis." Journal of Nanoparticle Research 14.4 (2012): 800. 19. Syed, Shabudeen PS. "Study of the removal of malachite green from aqueous solution by using solid agricultural waste." Research Journal of Chemical Sciences Vol 1 (2011): 1. 20. Ashok kumar Popuri et al., “Color Removal from Dye Wastewater Using Adsorption”, 2016. 21. Roya Nateghi et al. “Decolorization of synthetic wastewaters by nickel oxide nanoparticle”, 2017. 22. Prerana Kane et al. “Decolourization of C. I. Reactive Black 5 by PVP stabilized Nickel nanoparticles”, 2014. 23. N. A. Oladoja, C. O. Aboluwaye, Y. B. Oladimeji, “Kinetics and Isotherm Studies on Methylene Blue Adsorption onto Ground Palm Kernel Coat”, Turkish J. Eng. Env. Sci.32, 303 – 312, 2008. Cont..
  • 30. 24. Mi-Hwa Baek, Christianah Olakitan Ijagbemi, Se-Jin O, Dong-Su Kim, “Removal of Malachite Green from aqueous solution using degreased coffee bean”, Journal of Hazardous Materials 176 820–828,2010. 25. M. Anbia, A.Ghaffari, “Removal of Malachite Green from Dye Wastewater Using Mesoporous Carbon Adsorbent”, J. Iran. Chem. Soc., Vol. 8, No. Suppl., pp. S67-S76, February 2011. 26. Mohd Azmier Ahmad, Rasyidah Alrozi. “Removal of malachite green dye from aqueous solution using rambutan peel-based activated carbon”: Equilibrium, kinetic and thermodynamic studies, Chemical Engineering Journal 171 510– 516, 2011. 27. B.H. Hameeda, M.I. El-Khaiaryb. “Malachite green adsorption by rattan sawdust: Isotherm, kinetic and mechanism modeling”, Journal of Hazardous Materials 159 574– 579, 2010. Cont..