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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
Comparison of the Effective Adsorption Capacities of Phosphates
Using Silica Molybdate and Nitrites Using Diazonium Silica with
Raw Activated Carbon in Wetland Waters
Aquiline Kathambi
Department of Physical and Biological Sciences, Murang’a University of Technology
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150500092
Received: 10 May 2026; Accepted: 14 May 2026; Published: 03 June 2026
ABSTRACT
Functions and the quality of wetlands have adversely been affected by factors such deforestation, fertilizers, and
pesticides. Pollution caused by phosphates and nitrites affect aquatic life as these anions have serious side effects
even at low levels. Wetlands are vital as they play a role to supply water used for domestic and farming. Pollution
in wetlands leads to eutrophication, reduces dissolved oxygen among others. The objective of the study was to
compare adsorption capacities of silica molybdate and diazonium silica with activated carbon. Silica molybdate
was prepared by chlorination of raw silica then aminating using ethylenediamine (EDA) followed by addition
of sodium molybdate to aminated silica. Diazonium silica was prepared by reacting aminated silica with sodium
nitrite. FT-IR spectroscopy was used characterize the prepared adsorbents. The adsorption capacities of the
adsorbents was compared with activated carbon. The adsorbents were used to remove PO
4
3-
and NO
2-
ions from
water collected from wetlands. FT-IR results showed adsorption bands at 854cm
-1
and 542cm
-1
attributed to
Mo=O and Mo-O stretching in molybdate. Diazonium silica showed a spectra band at 1587 cm
-1
assign to open
chain azo (N=N) group. Biosorption isotherm fitted well in Freundlich isotherm model for adsorption of
phosphates. Biosorption isotherm model that fitted well for adsorption of nitrites was Langmuir model. For
sorption of phosphates pseudo-first order kinetics model was best obeyed while for adsorption of nitrites pseudo-
second order kinetic model was best obeyed. Adsorption capacity of phosphate was 194.53mg/g and 6.892 mg/g
for nitrites as compared to activated carbon which was 8.241 mg/g for phosphates and 0.07985 mg/g for nitrites.
For adsorption of nitrites biosorption isotherm fitted well in Langmuir model. For sorption of phosphates pseudo-
first order kinetics model was best obeyed while for adsorption of nitrites pseudo-second order kinetic model
was best obeyed. Adsorption efficiency of phosphates and nitrites in wetland waters, were 55.9% for phosphates
and 44.7% for nitrites.Results obtained indicate that silica molybdate and diazonium silica are better adsorbents
as compared to activated carbon.
Keywords: Phosphates, Nitrites, Silica molybdate, Diazonium silica, Activated carbon, Wetland pollution.
INTRODUCTION
Wetlands are termed as home to a variety of plants life which includes cypress, floating ponds lilies, blue spruce
among others. Wetlands supports diverse communities of invertebrates which also supports wide variety of birds
and vertebrates. They are habitats of variety of carnivores including osprey and dragonflies [1]. Wetlands have
varied definition’s. Wetlands are referred to as a transitional between terrestrial and aquatic systems where the
water table is usually at or near the surface or the land is covered by shallow water [2]. Wetland was also referred
to as areas of fen marsh, peat land or water whether natural or temporary with water being static or flowing,
brackish, fresh or salt including areas of marine water, the depth of which at low tides does not exceed 6 meters
[3]. Industries target water bodies by discharging industrial effluents to them leading to pollution. Waste water
is harmful not only to aquatic life but also harmful to human life. [4]. Pollution in the environment should be
handled in a special way as it is a serious matter affecting many organisms. Water is the mostly adversely affected
environmental resources [5]. Pollution in the environment is brought by a number of pollutants such as organic
and inorganic pollutants, heavy metals and organic micropollutants (OMPs). Municipal sewage, electroplating
effluent, and breeding wastewater are some of the toxins that are released into the environment
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There is wide application of adsorbents which are carbon based. Examples of carbon-based adsorbents includes;
carbon nanotubes, activated carbon, biochar, and graphene among others. Use of carbon adsorbents is traced
back in history making its origin hard to trace. Up to date a lot of studies have been done on the use of carbon
adsorbents in the removal pollutants from water, soil and air. During the adsorption process in both liquid and
gas phases, molecules or particles known as absorbable are attached (adsorbed) on the carbon surface (adsorbent)
[6]. The first adsorbent material to be developed was activated carbon. Activated carbon is prepared from various
materials which contain carbon such as; coconut shells, bones, pecan, lignite shells, waste water treatment
sludge, petroleum-based materials, pulp mill, sugar, black ash and wood among others. These materials are
processed to improve their adsorption properties. This is achieved by exposing materials at high temperature to
remove solid mass and create pores where removed mass was located initially. The well-developed pore network
is a common property of activated carbons and other types of carbon adsorbents produced in a similar way [7]).
Materials with chemical properties and contain nanoscale features have a great potential for application in water
treatment. Activated carbon is commonly used as point-of-use (POU) devices, where many commercial systems
apply this material at home [8]. More research work has been conducted to improve the efficiency of activated
carbon by modifying their specific properties so that carbon can develop affinity for the specific [9].
Key compounds of fertilizers are nitrogen and phosphorous. They can be considered a limiting nutrient’s when
they are not substituted. With increasing world’s population, growth of annual demand for nitrogen and
phosphorous is expected to increase according to the projection made by FAO. The long-term consumption of
nitrogen and phosphate worldwide is estimated to reach 199.3 million tones, that is, 72.2% nitrogen and 27.8%
of phosphorous in 2030 [10]. High amount of phosphates ions in water bodies leads to growth of aquatic plants
e.g harmful algae as well as lowering the amount of dissolved oxygen which affects the aquatic life. Ortho-
phosphate is the principle phosphorous compound found in waste water with minimal amount of organic
phosphates [11]. United State Environmental Protection Agency set the maximum contaminant level for
phosphate to 20µg/L [12]. Phosphorous compounds which are mostly found in waste water are soluble. A
small fraction of phosphate can be removed by precipitation. Biological treatment involves use of biochemical
process to remove phosphates from waste water. There are more phosphates in water than what biochemical
technology can handle. Primary and secondary waste water treatment can remove about 20-30% of phosphorous.
Preferred water contains phosphorous content high above the regulated standard limits. Therefore, there is need
to come up with an adsorbent which can lower the levels of phosphates in wetland waters [13]. Nitrite ions are
termed as wide spread contaminants established in aqueous environment. Nitrite ions are a significant indicator
of the quality of natural waters. Increase in the levels of nitrite ions in ground or surface waters is caused by
agricultural activities like use of fertilizers. Another source of nitrite ions is from industrial effluents discharged
in water bodies. Nitrite ions have adverse effects on human and some species of fish, therefore, its removal from
water has received great attention in the recent years. Nitrite ions enter into the bloodstream of fish through the
gills. In the bloodstream nitrite ions oxidize iron in the hemoglobin molecule resulting to a product known as
methemoglobin causing respiratory distress due to loss in oxygen-carrying capacity in the blood [14]. A reaction
between nitrite and secondary or tertiary amines may lead to the formation of mutagenic, carcinogenic and N-
nitroso compounds (Nitrosoamines) which may lead to cancer of alimentary canal. WHO have set the maximum
acceptable concentration of NO
3-
to be 50mg/L and for NO
2-
to be 3mg/[15].
A variety of functional groups such as thiols, propyl groups, phenyl groups, vinyl and amines have been
introduced into silica matrices. The mesoporous materials functionalized by these groups are applied mostly in
heavy metal adsorption. [16].The most explored functional group to increase adsorption capacity is the amino
group. High binding affinity for metal ions and anions by diethylenetriamine (DETA) is caused by the
availability of primary and secondary amine groups in its structure. Grafting various substrates using DETA has
improved their chemical and physical properties [17].
MATERIALS AND METHODS
Materials
Raw silica sand, Ethylenediamine (EDA), sodium hydroxide (NaOH) phosphorous pentachloride (PCl
5
)
hydrochloric acid (HCl, 37 %), dimethyl formamide (DMF), sodium molybdate, sodium nitrite and methanol
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analytical grade were purchased from Sigma Aldrich and were used without any further purification. All
solutions were prepared using double deionized water.
Preparation of Silica Molybdate
For preparation of silica molybdate three steps were involved. First step involved chlorination of raw silica where
an amount of 2.0g of raw silica was put into 250cm
3
three necked flask and 25 ml of DMF was added while
stirring with magnetic stirrer. 1.5g of phosphorous pentachloride (PCl
5
) was added dropwise to the raw silica
suspended in DMF. The mixture was refluxed for 2hrs, filtered and washed with deionized water then dried
under vacuum at 70℃ for 24hrs. The second step involved the amination of chlorinated silica. 5.0g of chlorinated
silica was reacted directly with 25ml ethylenediamine. The resulting mixture was filtered, washed and dried in
a desiccator for 48hrs. The last step involved grafting of molybdate to the aminated silica. 1.0g of aminated silica
was mixed with 1.0g of sodium molybdate suspended in 25ml DMF. The resulting solution was refluxed for
3hrs at 80℃. The resulting mixture was filtered by vacuum filtration, washed and dried in the desiccator for
48hrs.
Preparation of Diazonium Silica
A sample of 1.0g aminated silica was dissolved in 20ml of water and placed in 100ml conical flask [18]. The
solution was shaken vigorously and then placed in a beaker containing 25g of crushed ice. The resulting solution
was reacted with 1.4g sodium nitrite placed in 3ml of water. The mixer was continuously shaken for a period of
5 minutes. The solution was allowed to stand with frequent shaking for 5 minutes. A solution of 5.2g of
crystallized sodium acetate in 10ml was added. A yellow precipitate of diazonium silica began to form
immediately. The precipitate was allowed to stand for 20 minutes with frequent shaking ensuring that the
temperature did not exceed 20℃. Yellow diazonium silica was filtered on a Buchner funnel. The residue was
washed with 100ml deionized water and dried at room temperature.
Characterization of Silica Based Adsorbents
Characterization was done for raw silica (RS), chlorinated silica (CS), aminated silica (AS), silica molybdate
(SM) and diazonium silica (DS) using FT-IR spectroscopy. The interactions involving electromagnetic (EM)
fields in the infrared region (IR) and matter were studied using FT-IR spectroscopy [19]. A mass of 1.0 mg of
32 each sample of RS, CS, AS, SM and DS was mixed thoroughly with 50.0mg of potassium bromide (KBr).
Pellets were formed by grinding the mixture at vacuum. Obtained pellets were placed into FT-IR analysis
machine. Adsorption spectra of the adsorbent s were determined in a wavelength range 4000cm
-1
to 400cm
-1
[20].
Preparation of Phosphate Solutions
A solution of artificial orthophosphate was used during the adsorption tests. 30mg/l of pure K
2
HPO
4
.3HO was
dissolved in distilled water to prepare a stock solution of 100ppm. Small portions of stock solution were diluted
with water to prepare phosphate solutions of desired experimental concentrations. Distilled water was used
throughout the experimental test. Preparation of phosphates solutions was done daily to avoid possible
precipitation of phosphate species. HCl and NaOH solutions 5%v/v were used to regulate the pH. The absorbance
of each phosphate solution was measured using UV-Vis spectrophotometer at maximum wavelength of 542 nm.
A calibration curve was plotted between absorbance against concentration of phosphates. Beer lambert law
equation was used to determine the molar absorptivity.
A = Σlc Equation 2.1
Where absorbance is represented by A, molar absorptivity is given by Σ (mol
-1
cm
-1
), path length of the cuvette
that contains the sample L (cm) and the concentration of phosphate ions in the solution is given by c (mg/l) [21]
Preparation of Nitrite Solutions
A solution of artificial sodium nitrite was used during the adsorption tests. Pure NaNO
2
was dissolved in distilled
water to prepare a stock solution of 100ppm. A series of nitrite standard solutions with known concentrations
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were prepared to create a calibration curve. Dilution was made using distilled water throughout the experiment.
HCl and NaOH solutions were used to regulate the pH. Absorbance was measured at a wavelength of 207nm.
Absorbance curve was obtained and the maximum absorbance wavelength recorded [22].
Determination of Adsorption Capacities Silica Molybdate and Diazonium Silica
To investigate the adsorption capacities of silica molybdate and diazonium silica, 0.02g of functionalized silica
molybdate and diazonium silica was added separately to 100 ml while varying the initial concentration of
phosphate and nitrite model solutions. Adsorption capacities experiments were done at optimum pH 6.0,
temperature of 45 ± 1 .and agitated at 150 rpm at a contact time of 60 minutes for phosphates. Experiments
were repeated by adding 0.02g of diazonium silica to 100ml of varying initial concentration of nitrite solution
which was used as a model solution. Experimental solution was maintained at an optimum pH 3.0, temperature
of 30 ± 1 and the mixture shaken at 150 rpm for 60 minutes. After the agitation period, the mixtures were
filtered to obtain the filtrate which was analyzed by UV/Vis. spectrophotometer to obtain phosphates
concentration. The experiments were repeated three times. The amount of phosphates adsorbed by functionalized
silica molybdate and nitrites adsorbed by diazonium silica during the batch experiments was calculated using
Equation 2.2
Equation 2.2
qe represents is the quantity of phosphates and nitrites uptake per unit functionalized silica molybdate and
diazonium silica at equilibrium respectively, Ci is the initial concentration of phosphates and nitrites in ppm
(mgL
-1
), Ce gives equilibrium concentration of phosphates and nitrites in mgL
-1
, M is the mass of the
functionalized silica molybdate and diazonium silica adsorbents in grams and V represents the volume of
adsorbate in litres [23, 24]. Adsorption efficiency of phosphates and nitrites in solution were calculated by
applying Equation 2.3
Equation 2.3
R% represents the adsorption efficiency of phosphates and nitrites in the solution, Ci is the initial concentration
of phosphates and nitrites while ce is the equilibrium concentration. [23]. The data obtained was analyzed using
sorption models/ isotherms to determine the amount of phosphates and nitrites removal. Langmuir and
Freundlich equation, Equation 2.4 and 2.5 respectively were used in determination of absorption capacities of
the adsorbent [25].
Equation 2.4
Equation 2.5
Determination of Adsorption Capacities of Commercial Activated Carbon
To investigate the adsorption capacity of commercial activated carbon, 0.02g of commercial activated carbon
was added separately to 100 ml while varying the initial concentration of phosphate and nitrite model solutions.
Adsorption capacities experiments were done at optimum pH 6.0, temperature of 45 ± 1 and the initial
concentration varied from 20ppm-60ppm and agitated at 150 rpm at a contact time of 60 minutes for phosphates.
Experiments were repeated by adding 0.02g of commercial activated carbon to 100ml and varying initial
concentration of nitrite solution which was used as a model solution. Experimental solution was maintained at
an optimum pH 3.0, temperature of 30 ± 1 and the mixture shaken at 150 rpm for 60 minutes. After the
agitation period, the mixtures were filtered to obtain the filtrate which was analyzed by UV/Vis
spectrophotometer to obtain phosphates concentration. The experiments were repeated three times. The amount
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of phosphates adsorbed by commercial activated carbon during the batch experiments were calculated using
equation 2.6 [25].
Equation 2.6
Kinetic Study
Kinetics study of PO4
3-
and NO
2-
was clarified by performing a set of experiments. Kinetic studies of adsorption
for PO4
3-
and NO
2-
into silica molybdate and diazonium silica were done at initial concentration of 30mg/L in a
1000ml flask for phosphates and 40mg/L for nitrites and then swirled at a rate of 150rpm for contact time ranging
from 30-180 minutes. Kinetic models such as pseudo-first order and pseudo-second order were used to analyze
the data obtained [26].
Determination of Adsorption Efficiency of Adsorbents in Wetland Waters
For adsorption efficiency of silica molybdate in wetland waters, adsorbate dosage was maintained at 0.02g
throughout the experiments. Optimal pH of 6.0 was achieved by using 1.0M NaOH or HCl solutions and
measured using the digital pH meter. The experiments were maintained at a temperature of 45℃ using the water
bath and agitated at 150 rpm for 1 hour. Adsorption efficiency of diazonium silica in wetland waters experiments
were performed at an optimal pH of 3.0, temperature of 303K. The stirring speed was 150rpm for contact time
60 minute. After filtration analyses were done using UV-Vis to determine the absorbances. Adsorption efficiency
was calculated according to equation 2.6 [23].
RESULTS AND DISCUSSION
Characterization of Functionalized Silica adsorbents using FT-IR
FT-IR analysis is an important tool used to determine functional groups present in the compounds. FT-IR spectra
were recorded on a FT-IR spectroscopy (FT-IR-8400 model, Shimadzu Tokyo, Japan) at 4000 - 400cm
-1
wave
number. The results obtained were presented in the following sub-units.
Overlaid FT-IR Spectra of Raw silica, Chlorinated, and Aminated Silica
The Figure 3.1 shows FT-IR spectra of RS, CS and AS. It gives information about the available functional groups
in RS, CS and AS. Overlaid spectra of RS, CS and AS gives clear differences in the position of their functional
groups.
Figure 3.1: FT-IR spectra of raw silica, chlorinated, and aminated silica overlaid spectra
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More pronounced peaks are observed in the chlorinated and the aminated silica. The observations confirm that
ethylenediamine (secondary amine) was anchored successfully on the silica material. Results reported in this
study are similar with those reported on quartenized maize tassel [26].
FT-IR Characterization of Aminated Silica Bounded with Molybdate
Adsorption bands at 854cm
-1
and 542cm
-1
were attributed to Mo=O and Mo-O stretching in molybdate (Figure
3.2). Peaks observed at 1388 and 1662.64cm
-1
were attributed with the vibration mode of Mo-OH bond and
bending mode of adsorbed water [27]. Spectra peaks observed at 542, 634 and 898.97 cm
-1
were attributed to
the adsorption of molybdate on the mesoporous silica [27].
FT-IR Spectra of Diazonium Silica
The presence of a new open chain azo (N=N) group band in the region 1575cm
-1
to 1630cm
-1
(Figure 3.3)
confirms the successful synthesis of silica diazonium salt [28]. The bands found at 791 and 1049 cm
-1
were due
to (Si-O-Si) SiO
4
symmetric and anti-symmetric stretching modes [27]. There was a shift from 1051cm
-1
in raw
silica to 1049cm
-1
in diazonium silica and the peak was assigned to (Si-O-Si).
Figure 3.2: FT-IR spectra of raw silica, chlorinated, and aminated silica overlaid spectra
Figure 3.3: FT-IR spectra of diazonium silica
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The shift may be attributed to new electronic interactions during the formation of diazo group. The presence of
nitrogen atoms can lead to changes in the electronic distribution in the silica structure affecting the energy levels
48 of the electronic transitions. Shift can also be caused by the bond changes. The interaction between the silica
framework and the diazo group can lead to the changes in band length and angles which can shift vibrational
frequencies [29]. FTIR absorption spectra shows the disappearance band at 3361.93cm
-1
due to NH
2
and
appearance of a new absorption band at 1575cm
-1
which is assigned to N=N stretching [30].
Adsorption Isotherms
Common types of adsorption isotherms are Langmuir adsorption isotherm and Freundlich adsorption isotherm.
Langmuir adsorption isotherm can either be physisorption or chemisorption. Langmuir assumes that the surface
is homogeneous and all sites are equivalent. Also, it assumes that there is no interaction between the adsorbate
molecules on adjacent sites. Freundlich adsorption isotherm gives an empirical expression that accounts for
surface heterogeneity. It assumes that the surface is inhomogeneity and there is adsorbate-adsorbate interaction
[31].
Adsorption Capacities for Phosphates
The first theoretical treatment of nonlinear sorption is the Langmuir model which suggested that the uptake
occurs on the homogeneous surface by monolayer sorption without the interaction between the adsorbed
molecules [32]. The equation of Langmuir was used for adsorption equilibrium of phosphate ions into the silica
molybdate. Linear equation of Langmuir is given as follows;
Equation 3.1
Ce the equilibrium concentration of the adsorbate in mg/L. Qe refers to the amount of phosphates ions adsorbed
into the silica molybdate at equilibrium (mg/g) and q max (mg/g) is the Langmuir constant related to adsorption
capacity and b (L/mg) is the Langmuir constant related to the energy of adsorption [33]. The linear plot of ce/qe
verses ce as shown in figure 3.1 of silica molybdate showed that the adsorption process obeyed the Langmuir
isotherm model according to the correlation coefficient value R
2
, Qmax and b which were obtained from the
slope and the intercept respectively. The essential features of Langmuir isotherm is expressed in terms of a
dimensionless constant separation factor or equilibrium parameter Rl expressed as Rl = 1/ (1+b.co) [33]. The
expression of Freundlich isotherm encompasses the exponential distribution of active sites and the surface
heterogeneity. The constant Kf and nf numerical values were determined from the intercept and slopes of
respective plots. Relative adsorption capacity of the adsorbent is indicated by the constant Kf relating to the
bonding energy referred to as adsorption distribution coefficient. This value represents the quantity of the metal
ions adsorbed in the adsorbent at equilibrium (Muhammad et al., 2012). Heterogeity factor is known as nf.
Adsorption process is linear when nf = 1. If the adsorption process is chemical nf ˂ 1and a physical process
when the value of nf ˃ 1. When the value of 1 < is less than 1 adsorption is the predominant process taking place
(Muhammad et al., 2012). Langmuir plot of phosphate by silica molybdate is shown in Figure 3.4 and Freundlich
plot for phosphates by silica molybdate is shown in Figure 3.5
Figure 3.4: Langmuir adsorption isotherm for adsorption of phosphates ions into silica molybdate
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The values of Langmuir and Freundlich constant of phosphates by silica molybdate is listed in table 3.1.
Freundlich equation is better obeyed by the system than Langmuir one as is evident for the values R
2
in
Freundlich model.
Figure 3.5: Freundlich adsorption isotherm for adsorption of phosphates ions into silica molybdate
Adsorption Capacities for Nitrites using Diazonium Silica
The sorption equilibrium is frequently described using the Langmuir equation. The Langmuir isotherm model
assumes that the uptake of metal anions takes place on the homogeneous surface using monolayer adsorption
where there is no interaction between the adsorbed ions. The model also assumes that all the surface sites are
alike and can accommodate one adsorbed molecule. Another assumption is that the adsorption process is
reversible and the adsorbed molecule cannot migrate across the surface or interact with the neighboring
molecule. In order to get the equilibrium data, the initial concentrations of nitrites ions were varied keeping the
adsorbent mass constant in each sample. Using the linearized Langmuir isotherm adsorption capacities and
Langmuir constant were calculated. Adsorption capacities q(max) and Langmuir equilibrium constant kl were
estimated from the slope and the intercept respectively from a plot of ce/qe versus ce figure 3.6. Adsorption
capacity of nitrites (mg/g) obtained was 6.547 and kl was 0.07940. The separation factor Rl was found to between
0-1 indicating favorable biosorption process. The correlation coefficient of Langmuir isotherm model R
2
was
0.97029 as illustrated in table 3.2. shows that there is a linear relationship or correlation [34].
Figure 3.6: Langmuir adsorption isotherm for adsorption of nitrites ions into diazonium silica
Freundlich model is interpreted as the sorption of heterogeneous surface. It is assumed that the stronger binding
sites are occupied first and the binding strength decreases as the degree of occupation site increases. Freundlich
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constant n between 1 and 10 indicates a favorable adsorption. Larger values of n or (smaller values of 1/n)
indicates stronger interaction between the adsorbent and the adsorbate. When 1/n =1 indicates linear adsorption.
This is caused by very low solute concentration and low loading of the adsorbent. The value of n in this study
fell in the range of 1 and 10 and the value of 1/n was less than 1. This indicates that the sorption was favorable
(Anah & Astrini 2017). Freundlich isotherm model parameter Kf and nf numerical values were determined from
the intercept and slopes of respective plots in figure 3.7. Kf was found to be 1.8146 representing the adsorption
capacity and 1/n was found to be 0.2676 for intensity of adsorption. The correlation coefficient of Freundlich
model was 0.89511 as illustrated in table 3.1 In this study Langmuir model was best fit isotherm for adsorption
of nitrites ions on diazonium silica.
Figure 3.7: Freundlich adsorption isotherm for adsorption of nitrites ions into diazonium silica
Table 3.1 shows the results of Langmuir and Freundlich isotherms for phosphates and nitrites adsorption
capacities
Table 3.2 Comparison of adsorption capacities of silica molybdate with commercial activated carbon used
for phosphates removal.
The biosorption process was well described in linear form of Freundlich equilibrium isotherm which yielded R
2
value of 0.97164 for phosphates adsorption and 0.97001 for nitrites as in Table 3.1. The adsorption intensity 1/n
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was less than 1 for both phosphates and nitrites sorption indicating that the sorption was favorable. Langmuir
model described the sorption process poorly in phosphates as the separation factor RL was found to be between
0-1 as in table 3.1. The value indicated a favorable sorption process. A number of assumptions were contained
in the Langmuir model such as all the binding sites should have an equal affinity for the adsorbate and adsorption
should be monolayer, the number of adsorbed species should not exceed the total number of surface sites among
others. For this reason, Langmuir model could not fit the data well as compared to Freundlich which takes into
account the surface roughness [35].
From the results obtain in the adsorption of phosphate using silica molybdate and comparing them to activated
carbon (Table 3.2) there is an evidence that silica molybdate is a better adsorbent as compared to commercial
activated carbon This is illustrated with higher adsorption capacity of silica molybdate. Langmuir model and
Freundlich model is better obeyed in silica in molybdate as compared to commercial activated carbon. This
shows that to remove phosphates from water, silica molybdate is a better adsorbent.
Adsorption capacities of diazonium silica was compared to commercial activated carbon as shown in Table 3.3.
The results obtained indicated that silica molybdate recorded higher adsorption capacity. This shows that
diazonium silica is a better adsorbent as compared to commercial activated carbon. Langmuir model and
Freundlich model was best obeyed in diazonium silica as compared to commercial activated carbon indicating
that the amount of adsorbate that can be adsorbed into the surface is higher as compared to commercial activated
carbon. Results obtain in this study are compared to other reported results reported in literature in the adsorption
of phosphates and nitrites using activate carbon as an adsorbent. From the results it can be concluded that silica
molybdate and diazonium silica has higher adsorption efficiency as compared to activated carbon.
Table 3.4 gives theoretical adsorption efficiency from batch adsorption experiments of silica molybdate and
diazonium silica with other previously reported results from activated carbon used as an adsorbent for phosphates
and nitrites adsorption. Based on the adsorption efficiency values it can be concluded that silica molybdate and
diazonium silica are super adsorbent for the removal of phosphates and nitrites from wetland waters.
Table 3.3 Comparison of adsorption capacities of Diazonium silica with commercial activated carbon used
for nitrites removal.
Table 3.4: Theoretical adsorption efficiency from batch adsorption experiments of silica molybdate and
diazonium silica compared with reported results of activated carbon
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Adsorption kinetics
The equations of Lagergren’s pseudo-first order (K1) and Ho’s pseudo second order (K2) models of kinetic
rate were applied to the data obtained in the experiment (Lagergren, 1898; Ho and McKay, 1999). Results
obtained were for kinetic parameters of phosphate using silica molybdate and nitrites using diazonium silica.
Adsorption Kinetics for Phosphates onto Silica Molybdate Results presented in in Table 3.5 shows the linear
plot of log(qe-qt) versus t for the lagergren pseudo-first order model and t/qt versus t for lagergren pseudo-
second order for biosorption of PO
4
3-
into silica molybdate. The equilibrium rate constant of pseudo-first order
sorption K
1
was observed to be 0.0027 and the correlation coefficient R
2
was found to be 0.9491. The equilibrium
rate constant of pseudo-second order model K
2
was 0.00386g mg
-1
min
-1
and the correlation coefficient R
2
was
0.89551. The pseudo-first order equation fitted well with correlation coefficient R
2
0.9491 closer to unity.
Adsorption Kinetics for Nitrites into Diazonium Silica Results shown in Table 3.4 are for the nitrites adsorption
in diazonium silica adsorbent indicating that pseudo-second order was better obeyed than pseudo-first order.
According to their respective correlation coefficient R
2
value, R
2
value obtained from pseudo-first order is
0.53179 which is lower than R
2
obtained from pseudo -second order which is 0.97124. The calculated
equilibrium capacities were closer to the experimental ones in the pseudo-second order. The findings obtained
from the study indicates that the adsorption kinetics of nitrites on diazonium silica perfectly followed the pseudo-
second order model as recorded in table 3.5 [21].
Determination of Adsorption Efficiency of Silica Molybdate and Diazonium Silica in Wetland Waters
respectively.
Batch test experiment was carried out for the wetland water sample from Thika. A mass of 0.02 g of silica
molybdate was poured into 250ml Erlenmeyer flask containing 100ml wetland water. The top of the Erlenmeyer
flask was wrapped using parafilm to avoid evaporation. The flask containing wetland water sample and the silica
molybdate adsorbent under optimal conditions such as; pH 6, contact time 60 minutes, and temperature of 45℃
was shaken at 150 revolution per minute. Absorbance was carried out at a wavelength of 542 nm. Maximum
adsorption efficiency was established. The removal percentage was established to be 55.9 % (Table 3.6). Results
obtained revealed that silica molybdate is an efficient adsorbent to lower the levels of phosphates in wetland
waters. The procedure was repeated with diazonium silica adsorbent for adsorption on nitrites ions.
Table 3.5:
Results for kinetics parameters for adsorption of phosphates into silica molybdate and nitrites on silica diazonium
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Table 3.6: Adsorption efficiency of silica molybdate and diazonium silica in wetland waters
The flask containing wetland water sample and diazonium silica adsorbent under optimal conditions such as; pH
3, contact time 60 minutes, and a temperature 30℃ were shaken at 150 rpm. Absorbance was carried out at
wavelength of 207 nm. Maximum adsorption efficiency was established. Highest adsorption efficiency was
found to be 44.7 % (Table 3.6). The results obtained shows that diazonium silica is an efficient adsorbent to
lower the levels of nitrites in wetland waters.
CONCLUSION
Adsorption capacities of silica molybdate and diazonium silica were compared to commercial activated carbon.
For adsorption of phosphates using silica molybdate, Langmuir model gave the adsorption capacity of
194.93mg/g compared to 8.241mg/g for commercial activated carbon. The results from Freundlich model gave
adsorption capacity of 16.45mg/g as compared to 0.0163mg/g of commercial activated carbon. When comparing
the adsorption capacities of diazonium silica for adsorption of nitrites with commercial activated carbon. The
results obtained from Langmuir model 82 was 6.892mg/g as compared to 0.0785mg/g of commercial activated
carbon. In Freundlich model adsorption capacity was 1.8146mg/g as compared to 0.0398mg/g of commercial
activated carbon. From the results obtain Langmuir and Freundlich model were better obeyed as they gave higher
adsorption capacities for both adsorption of phosphates and nitrite ions. In conclusion the prepared adsorbents
were better in terms of adsorption capacities as compared to commercial activated carbon.
For adsorption kinetics for phosphates into silica molybdate, the equilibrium rate constant of pseudo-first order
sorption K1 was observed to be 0.0027 and the correlation coefficient R
2
was found to be 0.9491. The
equilibrium rate constant of pseudo-second order model K
2
was 0.00386g mg-1 min-1 and the correlation
coefficient R
2
was 0.89551. The pseudo-first order equation fitted well with correlation coefficient R
2
0.9491
closer to unity. For the nitrites adsorption in diazonium silica adsorbent results obtain indicate that pseudo-
second order was better obeyed than pseudo-first order. According to their respective correlation coefficient R
2
value, R
2
value obtained from pseudo-first order is 0.53179 which is lower than R
2
obtained from pseudo -second
order which is 0.97124. The calculated equilibrium capacities were closer to the experimental ones in the pseudo-
second order. The findings obtained from the study indicates that the adsorption kinetics of nitrites on diazonium
silica perfectly followed the pseudo-second order model as recorded in Table 3.5. The results obtained in table
3.6 shows that silica molybdate and diazonium silica are efficient adsorbents to lower the levels of phosphates
and nitrites in wetland waters respectively.
Conflict of interest
The authors declare that they have no conflict of interest
Acknowledgement
Special thanks to laboratory technician’s of Chemistry Department, Murang’a University of Technology, for
helping me in obtaining FT-IR spectra for analysis of silica molybdate and diazonium silica adsorbents. Thanks
to all staff members of Chemistry Department, Murang’a University of technology for assist me in various ways
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