SlideShare a Scribd company logo
1 of 7
Download to read offline
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
9
doi: 10.32622/ijrat.76S201902

Abstract—The use of low cost and eco-friendly catalysts
in heterogeneous Fenton for the treatment of an actual
Phenalkamine condensate (having COD varying from 83000
to 150000 mg/L) was investigated. Phenalkamineis a curing
agent which is produced by the reaction of cardanol, and
amines. The Phenalkaminecondensatehashigh pH, high
COD, and low BOD/COD ratio. The efficiency of
Aluminium dross and Iron nanoparticle as catalysts instead of
the conventional Fe (II) salts were evaluated.Aluminium
dross is a waste product which is obtained during aluminium
smelting process and the usage ofthis waste also reduces the
disposal issuesrelated to Al dross. Iron nanoparticle (FeNP)
was synthesized using laterite soil as the Iron source and
cashew apple extract as the reducing agent. The main
operating parameters for heterogeneous Fenton's reaction
were pH, H2O2: COD ratio and H2O2: Catalyst ratio. The
optimal conditions were obtained as pH=3, H2O2:
COD=1.25:1, H2O2: Al3+
=25:1 with a maximum COD
removal efficiency of 75.83%, for Aluminium dross and
pH=3.5, H2O2: COD=1.67:1, H2O2: FeNP=20 with a
maximum COD removal efficiency of 88.91%, for Iron
nanoparticle as the catalyst. Comparable efficiencies were
obtained for both the catalysts, which proves that they can be
used as an alternative to conventional Fe (II) salts in Fenton’s
process
IndexTerms—Fenton’s oxidation, HeterogeneousFenton
oxidation, Phenalkamine industry, Aluminium dross, Iron
nanoparticle.
I. INTRODUCTION
Due to industrialization, the generation of
wastewater is continuously growing up and this is an
environmental problem that must be taken into account. In
recent years due to more stringent about environmental laws
and regulations and also because of increasing awareness
about the environment, treatment of industrial wastewater
has always been a key aspect of research.Phenalkamines are
the curing agent formed by the Mannich based reaction of
cardanol, and amines as shown in Figure 1 [1]. The amines
Manuscript revised May 13, 2019 and published on June 5, 2019
Dhitosh Kumar Sahoo,Department of Civil Engineering,National Institute
of Technology, Karnataka, Surathkal, India-575025
Varsha M,Department of Civil Engineering,National Institute of
Technology, Karnataka, Surathkal, India-575025.
Dr.B. Manu,Department of Civil Engineering, National Institute of
Technology, Karnataka Surathkal, India-575025
generally used are ethylene
diamineorDiethylenetriamine.Phenalkamines are generally
used in coatings for ships and offshore
constructions,marineand industrial maintenance coatings,
tank linings due to various advantages it has like: extremely
fast cure, low temperature cure (even below 0°C), good
surface appearance, good moisture &surface tolerance,
excellent water and salt water resistance.Phenalkamines
produced from cardanol serve as epoxy hardeners for
high-end applications. They are also well known for their
anticorrosive properties, mainly in piping and onshore
applications [2].
Duringprocessing of Phenalkamine, 10% of water
comes out as waste which consists of phenols, aldehyde, and
amines which are highly reactive compounds and toxic to the
environment and it is surrounding and also to marine life so it
needs to be treated before discharge. The major pollutants in
the Phenalkaminewastewater are high pH, color, high COD,
high BOD, and low BOD/COD ratio.As the Phenalkamine
condensate have low BOD/COD ratio, it is more advisable to
go for chemical methods of treatment than the biological
methods. Advanced oxidation has gained more attention
these days, which involves oxidation of the pollutant by
reaction with hydroxyl radical. There are several advanced
oxidation processes such as homogenous Fenton,
heterogeneous Fenton, photo Fenton, photocatalysis and
ozonation. Among these heterogeneous Fenton is an
interesting alternative for wastewaters with high organic
content. Heterogeneous Fenton is an oxidation process
involving solid iron-based catalyst and hydrogen peroxide.
The reaction seems to be simple but many reaction
mechanisms have been proposed based on different active
intermediates. The reaction largely depends on pH, the
concentration of hydrogen peroxide and the catalyst.
Compared to conventional Fenton, heterogeneous Fenton has
the advantage of less sludge production, easy recovery and
reuse of catalyst and the process can even be carried out at
nearly neutral pH, reducing the need for acidification and
subsequent neutralization [3].
Aluminium dross is a waste product obtained during
aluminium smelting process and it consists of various metals,
metal oxides,andsalts [4].The worldwide aluminium industry
produces more than five million tonnes of furnace waste each
year known as dross, and above 95% of these waste are being
disposed in the landfill adding cost to the industries [4].
Various methodsweredeveloped to treat such dross materials,
but most of the dross is still used as landfill material [5,6,8].
However, their safe disposal is a problem because of its
negative impact on the ecosystem, groundwater, and surface
[4].Waste Aluminium dross can be recycled and it can be
Fenton’s Oxidation of Phenalkamine Condensate Using
Aluminium Dross And Laterite Iron Nanoparticle As A
Catalyst
Dhitosh Kumar Sahoo , Varsha M, Dr.B. Manu
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
10
doi: 10.32622/ijrat.76S201902
utilized as a useful engineering material.Recycling 1 kg of
aluminium can save about 4 kg of bauxite, 2 kg of chemicals,
and 7.5 kWh of electricity.[7] It can be used to make bricks or
can be used in concrete as filler, catalyst, control
microcracking and also used as an additive for
de-sulphurizing steel slag.[4, 8, 9]
Iron nanoparticles are now widely used in
wastewater treatment due to its high surface area, low cost
and eco-friendly nature. There are many chemical and
physical methods to produce iron nanoparticle. But in these
methods chemicals are used as reducing and stabilizing
agents, which are non-biodegradable[10,11]. Green methods
of synthesis are an alternative for this, which uses plant
extracts as the reducing and stabilizing agents.
Therefore, in this study, aluminium dross and Iron
nanoparticleare introduced as a Fenton's catalyst for the
removal of organic pollutants from Phenalkaminecondensate.
.
Figure 1: Structure of Phenalkamine
II. MATERIAL AND METHODOLOGY
A. Materials:
ď‚· Wastewater
The Phenalkaminecondensateused in this Fenton’s
oxidation process were collected from a nearby Cashew nut
processing industry and is stored at a low temperature
(4o
C).The Phenalkamine condensate characteristics are
presented in table 1.
ď‚· Chemicals
Chemical reagents used in this study were Hydrogen
peroxide (30%, 50% w/w), Hydrochloric acid, sulphuric acid
(98%), Sodium Hydroxide (98%) available in the purest
grade and used without further purification. Potassium
dichromate (K2Cr2O7), Ferrous Ammonium Sulphate (FAS),
Mercuric sulphate (HgSO4), Ferroin indicator, Potassium
Iodide (KI), Sodium thiosulphatethese chemicals were used
as standard chemicals to determine COD and BOD
concentration of the effluent.
B. Catalyst Preparation:
ď‚· Iron Nanoparticle
The iron required for synthesizing iron nanoparticle was
extracted from laterite soil by using acid leaching method.
The soil was collected from Surathkal, which is a highly
laterite saturated area. The soil was dried, crushed to powder
and sieved through 105ÎĽm sieve. 3g of the sieved sample was
taken in a glass beaker and about 15 mL of 35% HCl was
added to it and this solution was mixed and grinded until
dissolved. The beaker was heated on a hot plate, till a residue
was formed at the bottom. The residue was then baked in an
oven for 1 hour. Again, to this baked residue 15 mL of 35%
HCl was added and it was heated for 1 minute. 20ml of
distilled water was heated and then it was added. The above
solutions were filteredthrough whatman no: 42 filter paper.
The filtrate was transferred to a Nessler's cylinder and diluted
up to 100ml. The solution thus obtained is the laterite soil
extract (Figure 2(a)).
The cashew apple collected was washed thoroughly to
remove sand and grit. About 200g of cashew apple was taken
and it was grinded using little distilled water, in order to
extract the pulp. This juice was then allowed to settle in a
beaker for 30 minutes and the supernatant was filtered using
Whatman no: 42 filter paper. This filtrate was then diluted up
to 1L (Figure 2(b)). The cashew apple extract thus obtained,
have high polyphenol content, which acts as a reducing agent
for iron nanoparticle synthesis.
The iron nanoparticles are synthesized by adding the
laterite soil extract and the cashew apple extract in different
volume proportions into a conical flask kept on a magnetic
stirrer with hot plate maintained at 540rpm and 800
C. The
immediate appearance of black color indicated the presence
of iron nanoparticles[12].The solution was then centrifuged
using a high-speed centrifuge at 2000rpm for 30 minutes. The
liquid was removed carefully and the nanoparticles were
washed using distilled water and dried in an oven at about
500
C. The synthesized nanoparticles were preserved for
further use (Figure 2(c)).
(a) (b) (c)
Figure 2: (a) Iron extract from laterite soil; (b) Cashew apple
extract; (c) Synthesised Iron nanoparticle
The surface morphology and elemental composition of
the iron nanoparticles were determined using Field Emission
Scanning Electron microscopy X-ray energy dispersive
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
11
doi: 10.32622/ijrat.76S201902
Spectro-photometer (FESEM-EDX)[13,14]. In order to study
the functional groups on the surface of nanoparticles which
acts as capping and stabilizing agents, Fourier Transform
Infrared spectroscopy (FTIR) was done. The concentration of
Iron in the laterite soil was determined by using UV-Visible
Spectrophotometer. The presence of polyphenol content in
the cashew apple extract was done by Ferric chloride test.
The presence of phenol was indicated by red, blue, green or
purple color on the addition of the few drops of Ferric
chloride to the sample and the polyphenol content was
confirmed by FTIR analysis[14, 15].
ď‚· Aluminium Dross
Aluminium dross sample was collected from a nearby
supplier. The sample was in powder form and the color of the
dross is black. Aluminium dross samples were produced
when the raw aluminium material was burnt at very high
temperature. Aluminium dross sample was sieved by a 75 ÎĽm
sieve and then used in the treatment process. The sample is
shown in the figure 3.
Figure 3:Aluminium dross sample.
Aluminium dross sample has the highest percentage of
Al2O3 followed by SiO2and small amounts of oxides of Fe,
Mg, Ca along with small amount of salts in the form of NaCl
and KCl. The catalyst was characterized using the following
techniques:-
i. The surface morphology of dross sample was found by
scanning electron microscope (SEM).
ii. The elemental composition of the dross sample was
determined by energy dispersive X-ray
spectroscopy (EDS)
iii. To identify the various phases in the sample, X- ray
powder diffraction (XRD)techniques were
conducted.
C. Experimental Methodology:
Fenton’s oxidation generally depends on three factors:
effect of pH, H2O2 concentration, Catalyst
concentration[16].COD reduction of this high strength
Phenalkaminescondensate was done by heterogeneous
Fenton process using iron nanoparticle and Aluminium dross
as catalysts. Experiments have been conducted at ambient
temperature (27±30
C) in batch reactors for the
Phenalkaminescondensate.At first, the experiments have
been conducted for pH optimization for 100ml sample in a
500ml of a conical flask with varying pH from 2 to 4 for
aluminium dross and for iron particle pH was varied from 2
to 7. The pH of the solution was adjusted using 0.1NNaOH
and 5N H2SO4. Then, Aluminium drossand iron
nanoparticles were added to the desired Al3+
and
Fe2+
concentration. Finally, H2O2 carefully added to start the
Fenton’s reaction. Experiments were conducted at optimum
pH with different dosages of hydrogen peroxide and catalyst
and final dosage have been optimized to get maximum COD
removal (%).
All the experiments were done in duplicate sets for a
reaction period of 24 hours so that hydrogen peroxide
decomposes completely (zero residual hydrogen peroxide).
After the reaction time, the samples were filtered using
Whatman no: 42 filter paper for further analysis. COD of the
treated sample was done to determine the COD removal
efficiency. The experimental set up for Fenton’s process is
shown in Figure 4.
% COD removal efficiency = ((CODi – CODf)/CODi) ×100
Where,
CODiis the initial COD (mg/L) and CODf is the final COD
(mg/L) after the reaction time.
(a) (b)
Figure4: Experimental set up for Fenton’s process: (a)Using
Aluminium dross as the catalyst; (b) Using iron nanoparticle
as the catalyst
D. Analytical Procedure
Analytical procedures were conducted as per standard
methods [17]-Chemical oxygen demand (Closed reflux
titrimetric method, Method 5220C), Biological oxygen
demand (BOD,Method 5210B), Suspended solids (SS,
Method 2540D). pH was measured by HI763100: Digital 4
ring conductivity probe with an integrated temperature sensor
Table 1:Characteristics of the Phenalkamine condensate,
from a Cashewnut processing industry
III. RESULTS AND DISCUSSION
A. Catalyst Characterization:
ď‚· Aluminium Dross
In the present study, the finer particles (<75 ÎĽm) taken for the
Fenton’s oxidation study were subjected to SEM, EDAX and
pH 11.5-12.5
COD(mg/L) 83000-150000
BOD (mg/L) 3600- 5800 mg/L
TSS (mg/L) 8500-9720 mg/L
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
12
doi: 10.32622/ijrat.76S201902
XRD analysis. The morphology of aluminium dross
wasimagined using SEM (scanning electron microscope) and
the results as illustrated in Fig 5 (a) shows the dross has an
irregular shape, and there are no voids or cavities observed in
the image indicate that, the particles are well
dispersed.Energy Dispersive X-Ray Analysis was done to
identify the elemental composition of the dross sample. The
chemical composition of Aluminium dross (express in weight
percentage) as illustrated in Figure 5 (b).Aluminium
percentage was found 40% by weight.Figure 5 (c) shows the
XRD pattern of the aluminium dross and the figures reveals
the various phases present in the sample
(a) (b)
©
Figure 5: Characterization of aluminium dross using (a)
SEM, (b) EDAX, (c) XRD
Those main peaks show the existence of Al2O3, AlN,
MgAl2O4, SiO2 and probably also KCl, NaCl, MgF2, etc.
ď‚· Iron nanoparticle
The concentration of Iron in the laterite soil was
determined by using UV-Visible Spectrophotometer as
62.234 mg/L. Ferric chloride test for the cashew apple extract
gave a positive result, indicating the presence of polyphenol
and the polyphenol content was confirmed by FTIR analysis.
The morphology and elemental composition of
synthesizedIron nanoparticles were analyzed by
usingFESEM-EDX. The SEM micrograph (Figure 6 (a))
shows small sphericalparticles in the nanometer range.
The elemental composition of the synthesized iron
nanoparticle was determined by EDAX analysis. The EDAX
spectra show strong peaks of Oxygen and Iron, with a
chemical composition of 74.09% Fe and 25.91% O(Figure 6
(b)).FTIR analysis provides the information on the functional
groups present in the cashew apple extract as well as the Iron
nanoparticle. Briefly, a broad peak at 3339.12 cm-1 in Figure
7(a) and 3333.74 cm-1in Figure 7(b)corresponds tothe
stretching vibration of –OH groups, peaks 1638.46cm-1
(Figure 7(a)) and 1636.58 cm-1 (Figure 7(b)) assigned to
thestretching vibrations of C=O and C=C group, peaks
1092.18(Figure 7(a)) and 1097.83 cm-1 (Figure 7(b))
correspond to C–Ostretching of alcohols
andpeaks925.28 (Figure 7(a)) and 922.54 cm-1 (Figure
7(b)) correspond to the stretchingvibration of C–C
group.Peaks at around 570 cm-1 in Figure 7(b) indicates the
stretching vibrations of Fe-O. Similar peaks in the FTIR
spectra of the cashew apple extract and the synthesized
nanoparticle indicates that the nanoparticle was successfully
stabilized by the cashew apple extract
6 (a) 6(b)
Figure 6: FESEM-EDX analysis of Iron nanoparticle; (a)
SEM micrograph; (b) EDAX spectra
7(a)
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
13
doi: 10.32622/ijrat.76S201902
7(b)
B. Fenton’s oxidation of Phenalkaminecondensate
ď‚· Effect of pH
ThepH of the solution is an important parameter for
Fenton’s oxidation process, which controls the production
rate of hydroxyl radical thus the oxidation efficiency[18, 19].
A series of preliminary batch experiments were conducted
using different H2O2 and Al3+
concentrations at a pH ranging
from 2.0 to 4.0for aluminium dross and for iron nanoparticle
pH was varied from 2 to 7using different H2O2 and
FeNPconcentrationto determine the optimal condition for the
initial pH.
From the preliminary batch experiments it showed that pH
3.0 was the optimal initial pHat the dosages of H2O2: COD=
1.66:1 [H2O2 concentration 7.3M] andH2O2: Al3+
= 20:1 [Al3+
concentration 0.36M] for removal of COD in Fenton’s
oxidation of PhenalkaminesCondensate. At pH 3 removal
efficiency of COD is 67.2%. Figure 8 shows the effect of pH
on the removal efficiency of COD of Phenalkamine
wastewater
Figure 8: Effect of pH on removal efficiency (H2O2:Al3+
=
20:1)
For iron nanoparticle, Figure 9 shows the effect of pH on
COD removal. It is observed that the efficiency increased
initially and thereafter it decreased gradually. An optimum
pH of 3.5 was obtained at H2O2: COD = 2:1 and H2O2:FeNP
= 25:1, with a COD removal efficiency of 84.61%. Compared
to conventional Fenton’s process, where the removal
efficiency is very low at pH>4, here, nearly 50% efficiency is
obtained even at circumneutralpH
Figure 9: Effect of pH on removal efficiency (H2O2:FeNP =
25:1)
At higher pH, the removal efficiency of COD is lesser
compared to optimum pH. This is because under alkaline
conditions (Higher than optimum pH) dissociation and
auto-decomposition of H2O2occurs.Also as the pH increases,
there is a decrease in oxidation potential of hydroxyl radicals
[20].
ď‚· Effect of H2O2 concentration on removal
efficiencies
The concentration of hydrogen peroxide is one of the
important parameters to influence the Fenton's processsince it
is the source of OH radicals that cause the degradation of
organic compounds.For aluminium drossthe experiments
were conducted with varying H2O2: COD ratio maintaining
all other parameters constant. The ratio was varied from 0.7
to 2.5 withH2O2: Al3+
= 20:1 [varying the H2O2 concentration
from 3.1Mto 11M] and keeping Al3+
concentration 0.36 M]
and time 24hours. The experiments were conducted at pH 3
which was the optimum pH value. It is observed that the
maximum removal of COD is at H2O2: COD= 1.25:1 and
maximum removal percentage is 71.3%.The percentage
removal COD with COD:H2O2ratio as illustrated in Figure 10
Figure 10:Effect ofH2O2: COD ratio on Removal efficiency
(pH=3, H2O2:Al3+
=20:1)
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
14
doi: 10.32622/ijrat.76S201902
For iron nanoparticles,H2O2: COD ratio was varied from
0.8 to 2.5, with H2O2: FeNP = 25:1 and at the optimum pH of
3.5. The experiments were conducted for a reaction period of
24 hours and at the optimum ratio was determined
corresponding to the maximum COD removal. An optimum
H2O2: COD ratio of 1.67 was obtained with aCOD removal
efficiency of 84.86%, Figure 11
Figure 11:Effect of H2O2: COD ratio on Removal efficiency
(pH=3.5, H2O2: Fe = 25:1)
From Figure 10and 11, it can be found that the
removal efficiency increases with the increase of H2O2
concentrationtill optimal H2O2 [21]. This may be due to the
fact that an increased amount ofH2O2reacts with more
catalyst (iron nanoparticle and aluminium dross) and
produces more amount of hydroxyl radical leading to more
waste degradation. However, an excess of hydrogen peroxide
contributes to the Chemical Oxygen Demand (COD) and is a
harmful component for microorganisms.In addition, higher
concentrations of hydrogen peroxide act as free radical
scavenger itself, which decreases the concentration of
hydroxyl radicals and thereby reducing degradation
efficiency. Thus, the dosage of H2O2should be adjusted in
such a way that the entire amount is utilized.
ď‚· Effect of catalyst concentration on removal
efficiencies
Catalyst plays an important role in a reaction by
providing a route that requires low activation energy, thereby
increasing the rate of reaction. In Fenton’s oxidation, the
degradation efficiency increases with an increase in catalyst
concentration, up to the optimal dosages.The ratios of
H2O2:Al3+
is important for the degradation of pollutant in
Fenton’s process. For aluminium dross, after pH optimization
set of experiments were conducted by varying H2O2 and Al3+
ratio for effective degradation by keeping all other
parameters constant. A set of batch experiments were
conducted by varying ratio from 5 to 35 [concentration of
Al3+
1.1M to 0.16 M), pH=3, H2O2: COD=1.25:1.and from
Figure 12 maximum removal efficiency was found 75.83% at
H2O2: Al3+
= 25:1
Figure12:Effect of H2O2: Al3+
ratio on Removal efficiency
H2O2:Al3+
ratio (pH=3, H2O2: COD=1.25:1)
The ratio of H2O2: FeNP was varied from 5 to 100, with
H2O2: COD ratio of 1.67 and pH of 3.5. An optimum H2O2:
FeNP ratio of 20 was obtained with a COD removal
efficiency of 88.91%. Iron acts as a catalyst for the initiation
of OH radical generation. As the concentration of iron
increases the efficiency also increases due to more
degradation of H2O2, after reaching an optimum iron
concentration the efficiency decreases due to the ferrous ion
inhibition, Figure 13. As the iron used is in nanoparticle form
the surface area is more compared to the conventional iron
salts used for Fenton's process, as a result, the efficiency is
high at the optimum iron concentration.
Figure 13:Effect of H2O2: FeNP ratio on Removal efficiency
(pH=3.5, H2O2: COD=1.67:1)
From Figure 12and 13, it can be found that the efficiency
of treatment is dependent upon the amounts of H2O2 and
catalyst. It is because when either of them has overdosed,
both react with hydroxyl radical and therefore inhibit the
oxidation reaction. Therefore, for maximum removal
efficiency, every parameter must be optimized. Maximum
COD removal efficiency for aluminium dross and nano iron
is 75.83% and 88.91 respectively
International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
15
doi: 10.32622/ijrat.76S201902
IV. CONCLUSION
ď‚· Maximum COD removal efficiency of 75.83% was
obtained at the optimised conditions (pH=3, H2O2:
COD=1.25:1, H2O2:Al3+
= 25:1) for aluminium
dross.
ď‚· Maximum COD removal efficiency of 88.91% was
obtained at the optimised conditions (pH=3.5, H2O2:
COD=1.67:1, H2O2: FeNP= 20:1) for iron
nanoparticle.
ď‚· Thus, Aluminium dross and Iron nanoparticle can be
used as an economical and efficient catalyst for
Phenalkamine treatment
REFERENCES
[1]. S.K.Pathak and B.S.Rao, “Structural effect of phenalkamines
on adhesive viscoelastic and thermal properties of epoxy
networks,” J. ApplPolymSci, vol 102, pp. 4741-4748, December
2006.
[2]. M.Kathalewar, and A. Sabnis, ―Effect of molecular weights of
phenalkamines on the curing, mechanical, thermal and
anticorrosive properties of epoxy based coatings‖, Prog in Org
Coatings, Vol. 84, pp. 79-88, 2015
]M.C. Pereira, L. C. A. Oliveira, and E. Murad, "Iron oxide
catalysts: Fenton and Fenton like reactions - a review", Clay
Min., pp.285–302, 2012
[3]. S.O.Adeosun, O.I.Sekunowo, O.O.Taiwo, W.A.Ayoola, and A.
Machado, ― Physicalandmechanical properties of aluminium
dross‖,J. Adv. Mater. 3 6-10, 2014
[4]. A.M.Amer, ―Extracting aluminum from dross tailings‖, JOM,
vol 54, pp 72–75, November 2002.
[5]. B. Dash, B.R. Das, B.C.Tripathy, I.N. Bhattacharya, and S.C.
Das, ―Acid dissolution of alumina from waste aluminium
dross‖,Hydrometallurgy, vol 92, pp. 48–53, May 2008.
[6]. E.DavidandJ.Kopac, ―AluminumRecov-ery as a Product with
High Added Value using Aluminium Hazardous
Waste‖,J.Hazard.Mater, vol 261, pp. 316-324, October 2013.
[7]. B. R. Das, B. Dash, B. C. Tripathy, I.N. Bhattacharya, and S.C.
Das, ―Production of g –aluminafrom waste aluminium dross‖,
Miner. Eng., vol20, pp. 252–258, March 2007.
[8]. N. Murayama, N. Okajima, S. Yamaoka, H. Yamamoto, and J.
Shibata, ―Hydrothermalsynthesis of AlPO 4 -5 type zeolitic
materials by using aluminum dross as raw material‖,J.
EurCeram. Soc., vol26, pp. 459–62, 2006
[9]. V. J. Garole, B. C. Choudhary, S. R. Tetgure, D. J. Garole, and
A. U. Borse, ―Detoxification of toxic dyes using biosynthesized
iron nanoparticles by photo-Fenton processes‖, Int. J. Environ.
Sci. Technol., pp. 3-7, 2017
[10]. G. Vilardi, L. D. Palmaand N. Verdone, ―On the critical use of
zero valent iron nanoparticles and Fenton processes for the
treatment of tannery wastewater‖, J. of Wat. Pro. Eng., pp.
109–122, 2018
[11]. H. M. Fahmy and F. M. Mohamed, ―Review of green methods
of iron nanoparticles synthesis and applications‖, J.
BioNanoScience, vol 8, pp. 491–503, 2018
[12]. S. Sangami and B. Manu, ―Catalytic efficiency of laterite-based
FeNPs for the mineralization of mixture of herbicides in water‖,
Environ. Technol., pp. 5-10, 2018
[13]. V. Madhavi, T.N.V.K.V. Prasad and G. Madhavi, ―Synthesis
and spectral characterization of iron based micro and
nanoparticles‖, Ira. J. Ener. & Environ., 385-390, 2013
[14]. C. Danciu and I. Z. Pavel, ―Total phenolic content, FTIR
analysis, and antiproliferative evaluation of lupin seeds harvest
from western Romania‖, Ann. of Agri. and Environ. Med., vol
24, pp.726–731, 2017
[15]. S.Hussain, S.Shaikh and M.Farooqui, ―COD reduction of waste
water streams of active pharmaceutical ingredient – Atenolol
manufacturing unit by advanced oxidation-Fenton process‖, J.
Saudi ChemSoc,vol 17, pp. 199–202, April 2013
[16]. Standard Methods for the Examination of Water and
Wastewater, 19th ed., American Public Health Association,
Washington, DC, 1995
[17]. H. Tekin, O. Bilkay, S.S. Ataberk, and T.H. Balta, ―Use of
Fenton oxidation to improve the biodegradability of
pharmaceutical wastewater‖, J. Hazard. Mater., vol B136, pp.
258–265, August 2006
[18]. E.G. Solozhenko, N.M. Soboleva and V.V. Goncharuk,
―Decolorization of azo dye solutions by Fenton's oxidation‖,
Water Res., vol 29, pp. 2206–2210, September 1995
[19]. M.I. Badawy and M.Y. Ghaly, ―Advanced oxidation processes
for the removal of organo-phosphours pesticides from
wastewater‖, Desalination, vol 194, pp. 166-175, June 2006.
[20]. C.L.Hsueh, Y.H. Huang, C.C. Wang, and C.Y.
Chen, ―Degradation of azo dyes using low iron concentration
of Fenton and Fenton-like system”, Chemosphere, vol 58, pp.
1409–1414, 2005

More Related Content

What's hot

Degradation of Ethanolamine by Fluidized-bed Fenton Process
Degradation of Ethanolamine by Fluidized-bed Fenton ProcessDegradation of Ethanolamine by Fluidized-bed Fenton Process
Degradation of Ethanolamine by Fluidized-bed Fenton ProcessOswar Mungkasa
 
Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...
Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...
Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...inventionjournals
 
Is2616721675
Is2616721675Is2616721675
Is2616721675IJERA Editor
 
Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...
Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...
Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...IJERD Editor
 
Degradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution usingDegradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution usingeSAT Publishing House
 
Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...
Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...
Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...theijes
 
Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae
Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae  Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae
Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae Tadele Assefa Aragaw
 
Assignment: Removal of direct dyes from textile wastewater using Moringa ste...
Assignment: Removal of direct dyes from textile  wastewater using Moringa ste...Assignment: Removal of direct dyes from textile  wastewater using Moringa ste...
Assignment: Removal of direct dyes from textile wastewater using Moringa ste...Proshanto Saha
 
Safranine presentation
Safranine presentationSafranine presentation
Safranine presentationpayaljain273589
 
IRJET- Treatment of Textile Effluent by using Natural Coagulants
IRJET- Treatment of Textile Effluent by using Natural CoagulantsIRJET- Treatment of Textile Effluent by using Natural Coagulants
IRJET- Treatment of Textile Effluent by using Natural CoagulantsIRJET Journal
 
Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...
Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...
Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...Ratnakaram Venkata Nadh
 
Payal phd slides final1 [autosaved]
Payal  phd slides final1 [autosaved]Payal  phd slides final1 [autosaved]
Payal phd slides final1 [autosaved]payaljain273589
 
Performance of integrated process using fungal strain corialus versicalor mtc
Performance of integrated process using fungal strain corialus versicalor mtcPerformance of integrated process using fungal strain corialus versicalor mtc
Performance of integrated process using fungal strain corialus versicalor mtcIAEME Publication
 
A comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactiveA comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactiveAlexander Decker
 

What's hot (19)

Degradation of Ethanolamine by Fluidized-bed Fenton Process
Degradation of Ethanolamine by Fluidized-bed Fenton ProcessDegradation of Ethanolamine by Fluidized-bed Fenton Process
Degradation of Ethanolamine by Fluidized-bed Fenton Process
 
Du25727731
Du25727731Du25727731
Du25727731
 
Am24262265
Am24262265Am24262265
Am24262265
 
Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...
Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...
Synthesis And Characterization of Novel Processable Poly (EtherAzomethine)S C...
 
Is2616721675
Is2616721675Is2616721675
Is2616721675
 
Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...
Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...
Treatment of Effluent from Granite Cutting Plant by Using Natural Adsorbents ...
 
Degradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution usingDegradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution using
 
Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...
Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...
Preparation and Characterization of Activated Carbon from Hura Crepitans Linn...
 
Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae
Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae  Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae
Biodegradations of Reactive Blue-Dye Using Fresh Water Microalgae
 
Ijmet 10 01_100
Ijmet 10 01_100Ijmet 10 01_100
Ijmet 10 01_100
 
Assignment: Removal of direct dyes from textile wastewater using Moringa ste...
Assignment: Removal of direct dyes from textile  wastewater using Moringa ste...Assignment: Removal of direct dyes from textile  wastewater using Moringa ste...
Assignment: Removal of direct dyes from textile wastewater using Moringa ste...
 
JSEHR 1(1)-4
JSEHR 1(1)-4JSEHR 1(1)-4
JSEHR 1(1)-4
 
Safranine presentation
Safranine presentationSafranine presentation
Safranine presentation
 
IRJET- Treatment of Textile Effluent by using Natural Coagulants
IRJET- Treatment of Textile Effluent by using Natural CoagulantsIRJET- Treatment of Textile Effluent by using Natural Coagulants
IRJET- Treatment of Textile Effluent by using Natural Coagulants
 
Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...
Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...
Mass Transfer, Kinetic, Equilibrium, and Thermodynamic Study on Removal of Di...
 
Payal phd slides final1 [autosaved]
Payal  phd slides final1 [autosaved]Payal  phd slides final1 [autosaved]
Payal phd slides final1 [autosaved]
 
JSEHR 1(1)-3
JSEHR 1(1)-3JSEHR 1(1)-3
JSEHR 1(1)-3
 
Performance of integrated process using fungal strain corialus versicalor mtc
Performance of integrated process using fungal strain corialus versicalor mtcPerformance of integrated process using fungal strain corialus versicalor mtc
Performance of integrated process using fungal strain corialus versicalor mtc
 
A comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactiveA comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactive
 

Similar to 76 s201902

Kv2418301838
Kv2418301838Kv2418301838
Kv2418301838IJERA Editor
 
Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...
Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...
Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...IJMER
 
Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...
Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...
Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...ijtsrd
 
Degradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution usingDegradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution usingeSAT Publishing House
 
Degradation of mono azo dye in aqueous solution using cast iron filings
Degradation of mono azo dye in aqueous solution using cast iron filingsDegradation of mono azo dye in aqueous solution using cast iron filings
Degradation of mono azo dye in aqueous solution using cast iron filingseSAT Journals
 
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...
IRJET-  	  Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...IRJET-  	  Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...IRJET Journal
 
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...IRJET Journal
 
UREA 1 REPORT TO A K SAXENA SIR
UREA 1 REPORT TO A K SAXENA SIRUREA 1 REPORT TO A K SAXENA SIR
UREA 1 REPORT TO A K SAXENA SIRDESHRAJ MEENA
 
Removal of ammonium and phosphates from wastewater
Removal of ammonium and phosphates from wastewaterRemoval of ammonium and phosphates from wastewater
Removal of ammonium and phosphates from wastewaterMahira Cota Araujo
 
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Pawan Kumar
 
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Pawan Kumar
 
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Pawan Kumar
 
IRJET- Review on Removel of Heavy Metal using Low - Cost Absorbents
IRJET- Review on Removel of Heavy Metal using Low - Cost AbsorbentsIRJET- Review on Removel of Heavy Metal using Low - Cost Absorbents
IRJET- Review on Removel of Heavy Metal using Low - Cost AbsorbentsIRJET Journal
 
deflouridation.ppt
deflouridation.pptdeflouridation.ppt
deflouridation.pptRohma Yusuf
 
Removal of Polyaromatic Hydrocarbons from Water
Removal of Polyaromatic Hydrocarbons from WaterRemoval of Polyaromatic Hydrocarbons from Water
Removal of Polyaromatic Hydrocarbons from WaterIJMERJOURNAL
 
Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...
Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...
Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...ADEOLU ADEDOTUN TIMOTHY
 
A comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactiveA comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactiveAlexander Decker
 
381242 (6)
381242 (6)381242 (6)
381242 (6)mohsen miri
 

Similar to 76 s201902 (20)

Kv2418301838
Kv2418301838Kv2418301838
Kv2418301838
 
Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...
Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...
Tannin gel derived from Leaves of Ricinus Communis as an adsorbent for the Re...
 
Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...
Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...
Removal of Pb II from Aqueous Solutions using Activated Carbon Prepared from ...
 
Degradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution usingDegradation of mono azo dye in aqueous solution using
Degradation of mono azo dye in aqueous solution using
 
Degradation of mono azo dye in aqueous solution using cast iron filings
Degradation of mono azo dye in aqueous solution using cast iron filingsDegradation of mono azo dye in aqueous solution using cast iron filings
Degradation of mono azo dye in aqueous solution using cast iron filings
 
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...
IRJET-  	  Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...IRJET-  	  Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Grou...
 
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...
IRJET- Stabilizing and Converting Leachate into Non-Toxic Liquid for Groundwa...
 
UREA 1 REPORT TO A K SAXENA SIR
UREA 1 REPORT TO A K SAXENA SIRUREA 1 REPORT TO A K SAXENA SIR
UREA 1 REPORT TO A K SAXENA SIR
 
Removal of ammonium and phosphates from wastewater
Removal of ammonium and phosphates from wastewaterRemoval of ammonium and phosphates from wastewater
Removal of ammonium and phosphates from wastewater
 
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
 
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
 
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
Visible light assisted reduction of nitrobenzenes using Fe(bpy)3+2/rGOnanocom...
 
Magnetically Modified Spent Coffee Grounds for Dyes Removal
Magnetically Modified Spent Coffee Grounds for Dyes RemovalMagnetically Modified Spent Coffee Grounds for Dyes Removal
Magnetically Modified Spent Coffee Grounds for Dyes Removal
 
IRJET- Review on Removel of Heavy Metal using Low - Cost Absorbents
IRJET- Review on Removel of Heavy Metal using Low - Cost AbsorbentsIRJET- Review on Removel of Heavy Metal using Low - Cost Absorbents
IRJET- Review on Removel of Heavy Metal using Low - Cost Absorbents
 
deflouridation.ppt
deflouridation.pptdeflouridation.ppt
deflouridation.ppt
 
Removal of Polyaromatic Hydrocarbons from Water
Removal of Polyaromatic Hydrocarbons from WaterRemoval of Polyaromatic Hydrocarbons from Water
Removal of Polyaromatic Hydrocarbons from Water
 
Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...
Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...
Potential use of plantain (musa paradisiaca) wastes in the removal of lead an...
 
408madunavalkaj
408madunavalkaj408madunavalkaj
408madunavalkaj
 
A comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactiveA comparison of cardanol and its derivatives as reactive
A comparison of cardanol and its derivatives as reactive
 
381242 (6)
381242 (6)381242 (6)
381242 (6)
 

More from IJRAT

96202108
9620210896202108
96202108IJRAT
 
97202107
9720210797202107
97202107IJRAT
 
93202101
9320210193202101
93202101IJRAT
 
92202102
9220210292202102
92202102IJRAT
 
91202104
9120210491202104
91202104IJRAT
 
87202003
8720200387202003
87202003IJRAT
 
87202001
8720200187202001
87202001IJRAT
 
86202013
8620201386202013
86202013IJRAT
 
86202008
8620200886202008
86202008IJRAT
 
86202005
8620200586202005
86202005IJRAT
 
86202004
8620200486202004
86202004IJRAT
 
85202026
8520202685202026
85202026IJRAT
 
711201940
711201940711201940
711201940IJRAT
 
711201939
711201939711201939
711201939IJRAT
 
711201935
711201935711201935
711201935IJRAT
 
711201927
711201927711201927
711201927IJRAT
 
711201905
711201905711201905
711201905IJRAT
 
710201947
710201947710201947
710201947IJRAT
 
712201907
712201907712201907
712201907IJRAT
 
712201903
712201903712201903
712201903IJRAT
 

More from IJRAT (20)

96202108
9620210896202108
96202108
 
97202107
9720210797202107
97202107
 
93202101
9320210193202101
93202101
 
92202102
9220210292202102
92202102
 
91202104
9120210491202104
91202104
 
87202003
8720200387202003
87202003
 
87202001
8720200187202001
87202001
 
86202013
8620201386202013
86202013
 
86202008
8620200886202008
86202008
 
86202005
8620200586202005
86202005
 
86202004
8620200486202004
86202004
 
85202026
8520202685202026
85202026
 
711201940
711201940711201940
711201940
 
711201939
711201939711201939
711201939
 
711201935
711201935711201935
711201935
 
711201927
711201927711201927
711201927
 
711201905
711201905711201905
711201905
 
710201947
710201947710201947
710201947
 
712201907
712201907712201907
712201907
 
712201903
712201903712201903
712201903
 

Recently uploaded

Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 

Recently uploaded (20)

Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 

76 s201902

  • 1. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 9 doi: 10.32622/ijrat.76S201902  Abstract—The use of low cost and eco-friendly catalysts in heterogeneous Fenton for the treatment of an actual Phenalkamine condensate (having COD varying from 83000 to 150000 mg/L) was investigated. Phenalkamineis a curing agent which is produced by the reaction of cardanol, and amines. The Phenalkaminecondensatehashigh pH, high COD, and low BOD/COD ratio. The efficiency of Aluminium dross and Iron nanoparticle as catalysts instead of the conventional Fe (II) salts were evaluated.Aluminium dross is a waste product which is obtained during aluminium smelting process and the usage ofthis waste also reduces the disposal issuesrelated to Al dross. Iron nanoparticle (FeNP) was synthesized using laterite soil as the Iron source and cashew apple extract as the reducing agent. The main operating parameters for heterogeneous Fenton's reaction were pH, H2O2: COD ratio and H2O2: Catalyst ratio. The optimal conditions were obtained as pH=3, H2O2: COD=1.25:1, H2O2: Al3+ =25:1 with a maximum COD removal efficiency of 75.83%, for Aluminium dross and pH=3.5, H2O2: COD=1.67:1, H2O2: FeNP=20 with a maximum COD removal efficiency of 88.91%, for Iron nanoparticle as the catalyst. Comparable efficiencies were obtained for both the catalysts, which proves that they can be used as an alternative to conventional Fe (II) salts in Fenton’s process IndexTerms—Fenton’s oxidation, HeterogeneousFenton oxidation, Phenalkamine industry, Aluminium dross, Iron nanoparticle. I. INTRODUCTION Due to industrialization, the generation of wastewater is continuously growing up and this is an environmental problem that must be taken into account. In recent years due to more stringent about environmental laws and regulations and also because of increasing awareness about the environment, treatment of industrial wastewater has always been a key aspect of research.Phenalkamines are the curing agent formed by the Mannich based reaction of cardanol, and amines as shown in Figure 1 [1]. The amines Manuscript revised May 13, 2019 and published on June 5, 2019 Dhitosh Kumar Sahoo,Department of Civil Engineering,National Institute of Technology, Karnataka, Surathkal, India-575025 Varsha M,Department of Civil Engineering,National Institute of Technology, Karnataka, Surathkal, India-575025. Dr.B. Manu,Department of Civil Engineering, National Institute of Technology, Karnataka Surathkal, India-575025 generally used are ethylene diamineorDiethylenetriamine.Phenalkamines are generally used in coatings for ships and offshore constructions,marineand industrial maintenance coatings, tank linings due to various advantages it has like: extremely fast cure, low temperature cure (even below 0°C), good surface appearance, good moisture &surface tolerance, excellent water and salt water resistance.Phenalkamines produced from cardanol serve as epoxy hardeners for high-end applications. They are also well known for their anticorrosive properties, mainly in piping and onshore applications [2]. Duringprocessing of Phenalkamine, 10% of water comes out as waste which consists of phenols, aldehyde, and amines which are highly reactive compounds and toxic to the environment and it is surrounding and also to marine life so it needs to be treated before discharge. The major pollutants in the Phenalkaminewastewater are high pH, color, high COD, high BOD, and low BOD/COD ratio.As the Phenalkamine condensate have low BOD/COD ratio, it is more advisable to go for chemical methods of treatment than the biological methods. Advanced oxidation has gained more attention these days, which involves oxidation of the pollutant by reaction with hydroxyl radical. There are several advanced oxidation processes such as homogenous Fenton, heterogeneous Fenton, photo Fenton, photocatalysis and ozonation. Among these heterogeneous Fenton is an interesting alternative for wastewaters with high organic content. Heterogeneous Fenton is an oxidation process involving solid iron-based catalyst and hydrogen peroxide. The reaction seems to be simple but many reaction mechanisms have been proposed based on different active intermediates. The reaction largely depends on pH, the concentration of hydrogen peroxide and the catalyst. Compared to conventional Fenton, heterogeneous Fenton has the advantage of less sludge production, easy recovery and reuse of catalyst and the process can even be carried out at nearly neutral pH, reducing the need for acidification and subsequent neutralization [3]. Aluminium dross is a waste product obtained during aluminium smelting process and it consists of various metals, metal oxides,andsalts [4].The worldwide aluminium industry produces more than five million tonnes of furnace waste each year known as dross, and above 95% of these waste are being disposed in the landfill adding cost to the industries [4]. Various methodsweredeveloped to treat such dross materials, but most of the dross is still used as landfill material [5,6,8]. However, their safe disposal is a problem because of its negative impact on the ecosystem, groundwater, and surface [4].Waste Aluminium dross can be recycled and it can be Fenton’s Oxidation of Phenalkamine Condensate Using Aluminium Dross And Laterite Iron Nanoparticle As A Catalyst Dhitosh Kumar Sahoo , Varsha M, Dr.B. Manu
  • 2. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 10 doi: 10.32622/ijrat.76S201902 utilized as a useful engineering material.Recycling 1 kg of aluminium can save about 4 kg of bauxite, 2 kg of chemicals, and 7.5 kWh of electricity.[7] It can be used to make bricks or can be used in concrete as filler, catalyst, control microcracking and also used as an additive for de-sulphurizing steel slag.[4, 8, 9] Iron nanoparticles are now widely used in wastewater treatment due to its high surface area, low cost and eco-friendly nature. There are many chemical and physical methods to produce iron nanoparticle. But in these methods chemicals are used as reducing and stabilizing agents, which are non-biodegradable[10,11]. Green methods of synthesis are an alternative for this, which uses plant extracts as the reducing and stabilizing agents. Therefore, in this study, aluminium dross and Iron nanoparticleare introduced as a Fenton's catalyst for the removal of organic pollutants from Phenalkaminecondensate. . Figure 1: Structure of Phenalkamine II. MATERIAL AND METHODOLOGY A. Materials: ď‚· Wastewater The Phenalkaminecondensateused in this Fenton’s oxidation process were collected from a nearby Cashew nut processing industry and is stored at a low temperature (4o C).The Phenalkamine condensate characteristics are presented in table 1. ď‚· Chemicals Chemical reagents used in this study were Hydrogen peroxide (30%, 50% w/w), Hydrochloric acid, sulphuric acid (98%), Sodium Hydroxide (98%) available in the purest grade and used without further purification. Potassium dichromate (K2Cr2O7), Ferrous Ammonium Sulphate (FAS), Mercuric sulphate (HgSO4), Ferroin indicator, Potassium Iodide (KI), Sodium thiosulphatethese chemicals were used as standard chemicals to determine COD and BOD concentration of the effluent. B. Catalyst Preparation: ď‚· Iron Nanoparticle The iron required for synthesizing iron nanoparticle was extracted from laterite soil by using acid leaching method. The soil was collected from Surathkal, which is a highly laterite saturated area. The soil was dried, crushed to powder and sieved through 105ÎĽm sieve. 3g of the sieved sample was taken in a glass beaker and about 15 mL of 35% HCl was added to it and this solution was mixed and grinded until dissolved. The beaker was heated on a hot plate, till a residue was formed at the bottom. The residue was then baked in an oven for 1 hour. Again, to this baked residue 15 mL of 35% HCl was added and it was heated for 1 minute. 20ml of distilled water was heated and then it was added. The above solutions were filteredthrough whatman no: 42 filter paper. The filtrate was transferred to a Nessler's cylinder and diluted up to 100ml. The solution thus obtained is the laterite soil extract (Figure 2(a)). The cashew apple collected was washed thoroughly to remove sand and grit. About 200g of cashew apple was taken and it was grinded using little distilled water, in order to extract the pulp. This juice was then allowed to settle in a beaker for 30 minutes and the supernatant was filtered using Whatman no: 42 filter paper. This filtrate was then diluted up to 1L (Figure 2(b)). The cashew apple extract thus obtained, have high polyphenol content, which acts as a reducing agent for iron nanoparticle synthesis. The iron nanoparticles are synthesized by adding the laterite soil extract and the cashew apple extract in different volume proportions into a conical flask kept on a magnetic stirrer with hot plate maintained at 540rpm and 800 C. The immediate appearance of black color indicated the presence of iron nanoparticles[12].The solution was then centrifuged using a high-speed centrifuge at 2000rpm for 30 minutes. The liquid was removed carefully and the nanoparticles were washed using distilled water and dried in an oven at about 500 C. The synthesized nanoparticles were preserved for further use (Figure 2(c)). (a) (b) (c) Figure 2: (a) Iron extract from laterite soil; (b) Cashew apple extract; (c) Synthesised Iron nanoparticle The surface morphology and elemental composition of the iron nanoparticles were determined using Field Emission Scanning Electron microscopy X-ray energy dispersive
  • 3. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 11 doi: 10.32622/ijrat.76S201902 Spectro-photometer (FESEM-EDX)[13,14]. In order to study the functional groups on the surface of nanoparticles which acts as capping and stabilizing agents, Fourier Transform Infrared spectroscopy (FTIR) was done. The concentration of Iron in the laterite soil was determined by using UV-Visible Spectrophotometer. The presence of polyphenol content in the cashew apple extract was done by Ferric chloride test. The presence of phenol was indicated by red, blue, green or purple color on the addition of the few drops of Ferric chloride to the sample and the polyphenol content was confirmed by FTIR analysis[14, 15]. ď‚· Aluminium Dross Aluminium dross sample was collected from a nearby supplier. The sample was in powder form and the color of the dross is black. Aluminium dross samples were produced when the raw aluminium material was burnt at very high temperature. Aluminium dross sample was sieved by a 75 ÎĽm sieve and then used in the treatment process. The sample is shown in the figure 3. Figure 3:Aluminium dross sample. Aluminium dross sample has the highest percentage of Al2O3 followed by SiO2and small amounts of oxides of Fe, Mg, Ca along with small amount of salts in the form of NaCl and KCl. The catalyst was characterized using the following techniques:- i. The surface morphology of dross sample was found by scanning electron microscope (SEM). ii. The elemental composition of the dross sample was determined by energy dispersive X-ray spectroscopy (EDS) iii. To identify the various phases in the sample, X- ray powder diffraction (XRD)techniques were conducted. C. Experimental Methodology: Fenton’s oxidation generally depends on three factors: effect of pH, H2O2 concentration, Catalyst concentration[16].COD reduction of this high strength Phenalkaminescondensate was done by heterogeneous Fenton process using iron nanoparticle and Aluminium dross as catalysts. Experiments have been conducted at ambient temperature (27±30 C) in batch reactors for the Phenalkaminescondensate.At first, the experiments have been conducted for pH optimization for 100ml sample in a 500ml of a conical flask with varying pH from 2 to 4 for aluminium dross and for iron particle pH was varied from 2 to 7. The pH of the solution was adjusted using 0.1NNaOH and 5N H2SO4. Then, Aluminium drossand iron nanoparticles were added to the desired Al3+ and Fe2+ concentration. Finally, H2O2 carefully added to start the Fenton’s reaction. Experiments were conducted at optimum pH with different dosages of hydrogen peroxide and catalyst and final dosage have been optimized to get maximum COD removal (%). All the experiments were done in duplicate sets for a reaction period of 24 hours so that hydrogen peroxide decomposes completely (zero residual hydrogen peroxide). After the reaction time, the samples were filtered using Whatman no: 42 filter paper for further analysis. COD of the treated sample was done to determine the COD removal efficiency. The experimental set up for Fenton’s process is shown in Figure 4. % COD removal efficiency = ((CODi – CODf)/CODi) Ă—100 Where, CODiis the initial COD (mg/L) and CODf is the final COD (mg/L) after the reaction time. (a) (b) Figure4: Experimental set up for Fenton’s process: (a)Using Aluminium dross as the catalyst; (b) Using iron nanoparticle as the catalyst D. Analytical Procedure Analytical procedures were conducted as per standard methods [17]-Chemical oxygen demand (Closed reflux titrimetric method, Method 5220C), Biological oxygen demand (BOD,Method 5210B), Suspended solids (SS, Method 2540D). pH was measured by HI763100: Digital 4 ring conductivity probe with an integrated temperature sensor Table 1:Characteristics of the Phenalkamine condensate, from a Cashewnut processing industry III. RESULTS AND DISCUSSION A. Catalyst Characterization: ď‚· Aluminium Dross In the present study, the finer particles (<75 ÎĽm) taken for the Fenton’s oxidation study were subjected to SEM, EDAX and pH 11.5-12.5 COD(mg/L) 83000-150000 BOD (mg/L) 3600- 5800 mg/L TSS (mg/L) 8500-9720 mg/L
  • 4. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 12 doi: 10.32622/ijrat.76S201902 XRD analysis. The morphology of aluminium dross wasimagined using SEM (scanning electron microscope) and the results as illustrated in Fig 5 (a) shows the dross has an irregular shape, and there are no voids or cavities observed in the image indicate that, the particles are well dispersed.Energy Dispersive X-Ray Analysis was done to identify the elemental composition of the dross sample. The chemical composition of Aluminium dross (express in weight percentage) as illustrated in Figure 5 (b).Aluminium percentage was found 40% by weight.Figure 5 (c) shows the XRD pattern of the aluminium dross and the figures reveals the various phases present in the sample (a) (b) © Figure 5: Characterization of aluminium dross using (a) SEM, (b) EDAX, (c) XRD Those main peaks show the existence of Al2O3, AlN, MgAl2O4, SiO2 and probably also KCl, NaCl, MgF2, etc. ď‚· Iron nanoparticle The concentration of Iron in the laterite soil was determined by using UV-Visible Spectrophotometer as 62.234 mg/L. Ferric chloride test for the cashew apple extract gave a positive result, indicating the presence of polyphenol and the polyphenol content was confirmed by FTIR analysis. The morphology and elemental composition of synthesizedIron nanoparticles were analyzed by usingFESEM-EDX. The SEM micrograph (Figure 6 (a)) shows small sphericalparticles in the nanometer range. The elemental composition of the synthesized iron nanoparticle was determined by EDAX analysis. The EDAX spectra show strong peaks of Oxygen and Iron, with a chemical composition of 74.09% Fe and 25.91% O(Figure 6 (b)).FTIR analysis provides the information on the functional groups present in the cashew apple extract as well as the Iron nanoparticle. Briefly, a broad peak at 3339.12 cm-1 in Figure 7(a) and 3333.74 cm-1in Figure 7(b)corresponds tothe stretching vibration of –OH groups, peaks 1638.46cm-1 (Figure 7(a)) and 1636.58 cm-1 (Figure 7(b)) assigned to thestretching vibrations of C=O and C=C group, peaks 1092.18(Figure 7(a)) and 1097.83 cm-1 (Figure 7(b)) correspond to C–Ostretching of alcohols andpeaks925.28 (Figure 7(a)) and 922.54 cm-1 (Figure 7(b)) correspond to the stretchingvibration of C–C group.Peaks at around 570 cm-1 in Figure 7(b) indicates the stretching vibrations of Fe-O. Similar peaks in the FTIR spectra of the cashew apple extract and the synthesized nanoparticle indicates that the nanoparticle was successfully stabilized by the cashew apple extract 6 (a) 6(b) Figure 6: FESEM-EDX analysis of Iron nanoparticle; (a) SEM micrograph; (b) EDAX spectra 7(a)
  • 5. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 13 doi: 10.32622/ijrat.76S201902 7(b) B. Fenton’s oxidation of Phenalkaminecondensate ď‚· Effect of pH ThepH of the solution is an important parameter for Fenton’s oxidation process, which controls the production rate of hydroxyl radical thus the oxidation efficiency[18, 19]. A series of preliminary batch experiments were conducted using different H2O2 and Al3+ concentrations at a pH ranging from 2.0 to 4.0for aluminium dross and for iron nanoparticle pH was varied from 2 to 7using different H2O2 and FeNPconcentrationto determine the optimal condition for the initial pH. From the preliminary batch experiments it showed that pH 3.0 was the optimal initial pHat the dosages of H2O2: COD= 1.66:1 [H2O2 concentration 7.3M] andH2O2: Al3+ = 20:1 [Al3+ concentration 0.36M] for removal of COD in Fenton’s oxidation of PhenalkaminesCondensate. At pH 3 removal efficiency of COD is 67.2%. Figure 8 shows the effect of pH on the removal efficiency of COD of Phenalkamine wastewater Figure 8: Effect of pH on removal efficiency (H2O2:Al3+ = 20:1) For iron nanoparticle, Figure 9 shows the effect of pH on COD removal. It is observed that the efficiency increased initially and thereafter it decreased gradually. An optimum pH of 3.5 was obtained at H2O2: COD = 2:1 and H2O2:FeNP = 25:1, with a COD removal efficiency of 84.61%. Compared to conventional Fenton’s process, where the removal efficiency is very low at pH>4, here, nearly 50% efficiency is obtained even at circumneutralpH Figure 9: Effect of pH on removal efficiency (H2O2:FeNP = 25:1) At higher pH, the removal efficiency of COD is lesser compared to optimum pH. This is because under alkaline conditions (Higher than optimum pH) dissociation and auto-decomposition of H2O2occurs.Also as the pH increases, there is a decrease in oxidation potential of hydroxyl radicals [20]. ď‚· Effect of H2O2 concentration on removal efficiencies The concentration of hydrogen peroxide is one of the important parameters to influence the Fenton's processsince it is the source of OH radicals that cause the degradation of organic compounds.For aluminium drossthe experiments were conducted with varying H2O2: COD ratio maintaining all other parameters constant. The ratio was varied from 0.7 to 2.5 withH2O2: Al3+ = 20:1 [varying the H2O2 concentration from 3.1Mto 11M] and keeping Al3+ concentration 0.36 M] and time 24hours. The experiments were conducted at pH 3 which was the optimum pH value. It is observed that the maximum removal of COD is at H2O2: COD= 1.25:1 and maximum removal percentage is 71.3%.The percentage removal COD with COD:H2O2ratio as illustrated in Figure 10 Figure 10:Effect ofH2O2: COD ratio on Removal efficiency (pH=3, H2O2:Al3+ =20:1)
  • 6. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 14 doi: 10.32622/ijrat.76S201902 For iron nanoparticles,H2O2: COD ratio was varied from 0.8 to 2.5, with H2O2: FeNP = 25:1 and at the optimum pH of 3.5. The experiments were conducted for a reaction period of 24 hours and at the optimum ratio was determined corresponding to the maximum COD removal. An optimum H2O2: COD ratio of 1.67 was obtained with aCOD removal efficiency of 84.86%, Figure 11 Figure 11:Effect of H2O2: COD ratio on Removal efficiency (pH=3.5, H2O2: Fe = 25:1) From Figure 10and 11, it can be found that the removal efficiency increases with the increase of H2O2 concentrationtill optimal H2O2 [21]. This may be due to the fact that an increased amount ofH2O2reacts with more catalyst (iron nanoparticle and aluminium dross) and produces more amount of hydroxyl radical leading to more waste degradation. However, an excess of hydrogen peroxide contributes to the Chemical Oxygen Demand (COD) and is a harmful component for microorganisms.In addition, higher concentrations of hydrogen peroxide act as free radical scavenger itself, which decreases the concentration of hydroxyl radicals and thereby reducing degradation efficiency. Thus, the dosage of H2O2should be adjusted in such a way that the entire amount is utilized. ď‚· Effect of catalyst concentration on removal efficiencies Catalyst plays an important role in a reaction by providing a route that requires low activation energy, thereby increasing the rate of reaction. In Fenton’s oxidation, the degradation efficiency increases with an increase in catalyst concentration, up to the optimal dosages.The ratios of H2O2:Al3+ is important for the degradation of pollutant in Fenton’s process. For aluminium dross, after pH optimization set of experiments were conducted by varying H2O2 and Al3+ ratio for effective degradation by keeping all other parameters constant. A set of batch experiments were conducted by varying ratio from 5 to 35 [concentration of Al3+ 1.1M to 0.16 M), pH=3, H2O2: COD=1.25:1.and from Figure 12 maximum removal efficiency was found 75.83% at H2O2: Al3+ = 25:1 Figure12:Effect of H2O2: Al3+ ratio on Removal efficiency H2O2:Al3+ ratio (pH=3, H2O2: COD=1.25:1) The ratio of H2O2: FeNP was varied from 5 to 100, with H2O2: COD ratio of 1.67 and pH of 3.5. An optimum H2O2: FeNP ratio of 20 was obtained with a COD removal efficiency of 88.91%. Iron acts as a catalyst for the initiation of OH radical generation. As the concentration of iron increases the efficiency also increases due to more degradation of H2O2, after reaching an optimum iron concentration the efficiency decreases due to the ferrous ion inhibition, Figure 13. As the iron used is in nanoparticle form the surface area is more compared to the conventional iron salts used for Fenton's process, as a result, the efficiency is high at the optimum iron concentration. Figure 13:Effect of H2O2: FeNP ratio on Removal efficiency (pH=3.5, H2O2: COD=1.67:1) From Figure 12and 13, it can be found that the efficiency of treatment is dependent upon the amounts of H2O2 and catalyst. It is because when either of them has overdosed, both react with hydroxyl radical and therefore inhibit the oxidation reaction. Therefore, for maximum removal efficiency, every parameter must be optimized. Maximum COD removal efficiency for aluminium dross and nano iron is 75.83% and 88.91 respectively
  • 7. International Journal of Research in Advent Technology, Vol.7, No.6S, June 2019 E-ISSN: 2321-9637 Available online at www.ijrat.org 15 doi: 10.32622/ijrat.76S201902 IV. CONCLUSION ď‚· Maximum COD removal efficiency of 75.83% was obtained at the optimised conditions (pH=3, H2O2: COD=1.25:1, H2O2:Al3+ = 25:1) for aluminium dross. ď‚· Maximum COD removal efficiency of 88.91% was obtained at the optimised conditions (pH=3.5, H2O2: COD=1.67:1, H2O2: FeNP= 20:1) for iron nanoparticle. ď‚· Thus, Aluminium dross and Iron nanoparticle can be used as an economical and efficient catalyst for Phenalkamine treatment REFERENCES [1]. S.K.Pathak and B.S.Rao, “Structural effect of phenalkamines on adhesive viscoelastic and thermal properties of epoxy networks,” J. ApplPolymSci, vol 102, pp. 4741-4748, December 2006. [2]. M.Kathalewar, and A. Sabnis, ―Effect of molecular weights of phenalkamines on the curing, mechanical, thermal and anticorrosive properties of epoxy based coatings‖, Prog in Org Coatings, Vol. 84, pp. 79-88, 2015 ]M.C. Pereira, L. C. A. Oliveira, and E. Murad, "Iron oxide catalysts: Fenton and Fenton like reactions - a review", Clay Min., pp.285–302, 2012 [3]. S.O.Adeosun, O.I.Sekunowo, O.O.Taiwo, W.A.Ayoola, and A. Machado, ― Physicalandmechanical properties of aluminium dross‖,J. Adv. Mater. 3 6-10, 2014 [4]. A.M.Amer, ―Extracting aluminum from dross tailings‖, JOM, vol 54, pp 72–75, November 2002. [5]. B. Dash, B.R. Das, B.C.Tripathy, I.N. Bhattacharya, and S.C. Das, ―Acid dissolution of alumina from waste aluminium dross‖,Hydrometallurgy, vol 92, pp. 48–53, May 2008. [6]. E.DavidandJ.Kopac, ―AluminumRecov-ery as a Product with High Added Value using Aluminium Hazardous Waste‖,J.Hazard.Mater, vol 261, pp. 316-324, October 2013. [7]. B. R. Das, B. Dash, B. C. Tripathy, I.N. Bhattacharya, and S.C. Das, ―Production of g –aluminafrom waste aluminium dross‖, Miner. Eng., vol20, pp. 252–258, March 2007. [8]. N. Murayama, N. Okajima, S. Yamaoka, H. Yamamoto, and J. Shibata, ―Hydrothermalsynthesis of AlPO 4 -5 type zeolitic materials by using aluminum dross as raw material‖,J. EurCeram. Soc., vol26, pp. 459–62, 2006 [9]. V. J. Garole, B. C. Choudhary, S. R. Tetgure, D. J. Garole, and A. U. Borse, ―Detoxification of toxic dyes using biosynthesized iron nanoparticles by photo-Fenton processes‖, Int. J. Environ. Sci. Technol., pp. 3-7, 2017 [10]. G. Vilardi, L. D. Palmaand N. Verdone, ―On the critical use of zero valent iron nanoparticles and Fenton processes for the treatment of tannery wastewater‖, J. of Wat. Pro. Eng., pp. 109–122, 2018 [11]. H. M. Fahmy and F. M. Mohamed, ―Review of green methods of iron nanoparticles synthesis and applications‖, J. BioNanoScience, vol 8, pp. 491–503, 2018 [12]. S. Sangami and B. Manu, ―Catalytic efficiency of laterite-based FeNPs for the mineralization of mixture of herbicides in water‖, Environ. Technol., pp. 5-10, 2018 [13]. V. Madhavi, T.N.V.K.V. Prasad and G. Madhavi, ―Synthesis and spectral characterization of iron based micro and nanoparticles‖, Ira. J. Ener. & Environ., 385-390, 2013 [14]. C. Danciu and I. Z. Pavel, ―Total phenolic content, FTIR analysis, and antiproliferative evaluation of lupin seeds harvest from western Romania‖, Ann. of Agri. and Environ. Med., vol 24, pp.726–731, 2017 [15]. S.Hussain, S.Shaikh and M.Farooqui, ―COD reduction of waste water streams of active pharmaceutical ingredient – Atenolol manufacturing unit by advanced oxidation-Fenton process‖, J. Saudi ChemSoc,vol 17, pp. 199–202, April 2013 [16]. Standard Methods for the Examination of Water and Wastewater, 19th ed., American Public Health Association, Washington, DC, 1995 [17]. H. Tekin, O. Bilkay, S.S. Ataberk, and T.H. Balta, ―Use of Fenton oxidation to improve the biodegradability of pharmaceutical wastewater‖, J. Hazard. Mater., vol B136, pp. 258–265, August 2006 [18]. E.G. Solozhenko, N.M. Soboleva and V.V. Goncharuk, ―Decolorization of azo dye solutions by Fenton's oxidation‖, Water Res., vol 29, pp. 2206–2210, September 1995 [19]. M.I. Badawy and M.Y. Ghaly, ―Advanced oxidation processes for the removal of organo-phosphours pesticides from wastewater‖, Desalination, vol 194, pp. 166-175, June 2006. [20]. C.L.Hsueh, Y.H. Huang, C.C. Wang, and C.Y. Chen, ―Degradation of azo dyes using low iron concentration of Fenton and Fenton-like system”, Chemosphere, vol 58, pp. 1409–1414, 2005