Next Article in Journal
Using Chlorophyll a Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
Previous Article in Journal
Water Supply Delivery Failures—A Scenario-Based Approach to Assess Economic Losses and Risk Reduction Options
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Kinetics and Isotherm Modeling for the Treatment of Rubber Processing Effluent Using Iron (II) Sulphate Waste as a Coagulant

by
Rahmat Ngteni
1,2,
Md. Sohrab Hossain
3,*,
Mohd Omar Ab Kadir
3,
Ahmad Jaril Asis
2 and
Zulhafiz Tajudin
1,*
1
Universiti Kuala Lumpur-Malaysian Institute of Chemical and Bioengineering Technology, Alor Gajah 78000, Melaka, Malaysia
2
Sime Darby Research Sdn Bhd, Carey Island 42900, Selangor, Malaysia
3
Division of Environmental Technology, School of Industrial Technology, Universiti Sains Malaysia, USM, Penang 11800, Malaysia
*
Authors to whom correspondence should be addressed.
Water 2020, 12(6), 1747; https://doi.org/10.3390/w12061747
Submission received: 3 January 2020 / Revised: 3 March 2020 / Accepted: 5 March 2020 / Published: 19 June 2020
(This article belongs to the Section Wastewater Treatment and Reuse)

Abstract

:
There is increasing concern to determine an alternative coagulant for treating industrial effluent with minimal environmental impact and operational cost. In this study, iron (II) sulphate heptahydrate (FeSO4·7H2O) waste, an industrial byproduct from a titanium oxide processing industry, was used as a coagulant for the removal of ammonia (NH3), chemical oxygen demand (COD), biochemical oxygen demand (BOD), and suspended solid (SS) from secondary rubber processing effluent (SRPE). The highest percentage removal of BOD, COD, SS, and NH3 achieved was approximately 97%, 99%, 98%, and 95%, respectively, at pH 5.0, coagulant dose of 1 g/L, coagulation time of 60 min, sedimentation time of 60 min, and at an elevated temperature of 70 °C. The best described adsorption isotherm model was found to be the Brunauer–Emmett–Teller (BET) model, indicated that the FeSO4·7H2O adsorption took placed on the surface of iron hydroxide precipitates with multilayer formation and random distribution. The kinetics analysis showed that the adsorption mechanism was well fitted with the pseudo-second-order kinetic model. The findings of the present study show that the FeSO4·7H2O waste has the potential to be used as a coagulant for the treatment of industrial effluents, including the secondary rubber processing effluent.

Graphical Abstract

1. Introduction

Natural rubber is a hydrocarbon polymer that is obtained from a milky colloidal suspension of Hevea brasiliensis. Raw rubber processing consumes a large volume of water, and results in the generation of a huge amount of contaminated effluent [1,2]. It has been reported that about 20,500 L of effluent is generated per ton of raw rubber processing [1,3]. The rubber processing effluent contains high total suspended solids (TSS), biochemical oxygen demand (BOD), chemical oxygen demand (COD), nitrate (NO3), phosphorus (P), and ammonia (NH3) [4]. Therefore, the effluent generated during rubber processing must be treated prior to being discharged into the watercourse to eliminate undesirable eutrophication and death of aquatic organisms living in the water bodies [1,5].
Natural rubber is extensively utilized for various applications and production of latex-based products. It has been estimated that the world consumption of rubber, in 2018, was approximately 29.2 million tonnes [6]. Malaysia is one of the foremost natural rubber (NR) product producers and the world’s largest natural rubber (NR) product exporter. It has been estimated that over 1,017,607 tonnes of rubber product were exported from Malaysis to 190 countries globally and that the export of rubber products surpassed RM 18 billion, in 2016 [6]. Although cultivation of natural rubber and the natural rubber product production have contributed to the Malaysian economy, the processing of the raw rubber to produce natural products has generated huge amounts of rubber processing effluent [7,8]. In order to safely discharge the rubber processing effluent into the nearest watercourse, a reliable and effective treatment process must be implemented by the rubber processing industry to preserve the environment and avoid aquatic pollution.
The most common treatment processes practiced by the rubber processing industries in Malaysia are the combination of a conventional biological ponding system followed by coagulation [8,9]. Generally, the coagulation process is effective in removing suspended substances and colloidal particles from wastewater, and therefore this technology is considered to be a core technology for environmental protection from water pollution. Over the last decades, numerous studies have been conducted to treat industrial effluents using commercial metal salts or polymers as coagulants [10,11,12]. Although these commercially available coagulants have been found to be very effective for treating industrial effluents to remove various organic pollutants, the utilization of the coagulant in treating industrial effluents presents potential disadvantages including generation of hazardous sludge, high cost, environmental pollution, and costly options for the disposal of the generated sludge [11,13]. Another metallic salt, namely, ferrous sulfate heptahydrate (FeSO4·7H2O) has been applied as a coagulant for wastewater and surface water treatment [14,15,16]. The possible advantage of using FeSO4·7H2O as a coagulant is that the generated sludge could be treated as a non-hazardous material, and therefore it could be used as an organic fertilizer due to presence of high amounts of nitrogen and phosphorus compounds. Thus, there is considerable interest in utilizing FeSO4·7H2O in rubber processing effluent treatment, as an environmentally friendly coagulant. The challenge with using a commercial FeSO4·7H2O as a coagulant to industrial effluent is the high cost [16], and therefore environmentalists and industries are searching for an alternative coagulant which could be applied at a lower operational cost with comparable coagulation efficiency [17].
A huge amount of FeSO4·7H2O waste is generated during the manufacturing of titanium oxide from titanium oxide ore. It has been reported that about six tonnes of FeSO4·7H2O solid waste are generating per ton of titanium dioxide manufacturing [18]. Currently, the FeSO4·7H2O waste generated by the titanium dioxide manufacturing industry is stored in massive quantities within the manufacturing industry premises due to the high disposal cost for environmentally friendly disposal [19]. Therefore, environmentalists are looking for sustainable utilization of this FeSO4·7H2O waste to preserve the environment and avoid pollution. Studies have been carried out on the utilization of the FeSO4·7H2O waste as a portable water purifying agent [20], a hexavalent chromium reducing agent [21], and as a coagulant in municipal wastewater treatment plants [18]. In our previous study, FeSO4·7H2O waste was utilized to treat raw palm oil mill effluent (POME) and we found that FeSO4·7H2O waste is an effective coagulant in the removal of BOD, COD, and TSS from POME [10]. However, it requires further application of FeSO4·7H2O waste to be established as a potential coagulant and enhance its sustainability. The potential advantages of utilizing FeSO4·7H2O waste as a coagulant in rubber effluent treatment are (i) minimize the waste load stored in the titanium dioxide manufacturing industry, (ii) enhance the disposal of FeSO4·7H2O waste in environmentally friendly manner, (iii) disposal of FeSO4·7H2O waste with lower cost, and (iv) sustainability. Therefore, this study was conducted to determine the coagulation efficiency of FeSO4·7H2O waste of anaerobically treated rubber processing wastewater. The influence of the various operating parameters on the removal of BOD, COD, SS, and NH3 from the secondary rubber processing effluent (SPRE) was investigated with varying pH, doses, coagulation time, sedimentation time, and temperature. Coagulation–adsorption isotherm models such as BET, Freundlich and Langmuir isotherm models were utilized to determine the amalgamations between FeSO4·7H2O and organic particles present in the SPRE. Pseudo-first-order and pseudo-second-order kinetic model equations were utilized to determine the adsorption kinetics.

2. Materials and Methods

2.1. Sample Collection

Secondary rubber processing effluent (SRPE) was obtained from Sime Darby Latex Sdn.Bhd-Batu Anam, Segamat, Johor, Malaysia. The secondary SRPE was collected at the discharge of the buffer pond, just after the anaerobic digester tanks. The FeSO4·7H2O waste (Fe(II) content 18.6% and purity 92%) used as coagulant was supplied by the Venator Asia Sdn Bhd, Terengganu, Malaysia. The typical analyses of FeSO4·7H2O waste is presented in Table 1.

2.2. Physical-Chemical Analyses of SRPE

BOD, COD, SS, and ammonia (NH3) concentration in treated and untreated SRPE were investigated in line with the standard methods for water and wastewater analyses, as reported by the American Public Health Association (APHA) in 2012 [22]. These parameters were chosen in the present study as these are the major parameters for water quality index in Malaysia [23]. Determination of COD was conducted using the reactor digestion method (HACH method, 8000) by employing a HACH DR 2800 spectrometer with high range (HR) COD digestion vials (range 200 to 15,000 mg/L). Next, 2 mL of homogenized sample and 2 mL of deionized water were taken into HR COD digestion vials for samples and blank tests. Then, the vials were taken into the preheated COD reactor at 150 °C for 2 h. Subsequently, the vials were cooled to 120 °C and measured COD (mg/L) with a DRB 200 reactor. The SS was performed following the photometric method (HACH method 8006) and 10 mL of blended sample was taken into a sample. Subsequently, the sample cell was placed in the cell holder and the SS was measured using a spectrophotometer (HACH DR 2800). The determination of BOD in treated and untreated SRPE was conducted at 20 °C for 5 days of incubation following the HACH respirometric method (HACH method 10099). Then, 10 mL of sample was taken into the BOD track sample bottle and filled with deionized water. BOD nutrient buffer pillow and lithium hydroxide powder pillow were added into the bottle and stirred. Then, the sample was incubated into a BOD track incubator at 20 °C for 5 days prior to determining the BOD. The determination of the NH3 in treated and untreated SRPE was conducted following the salicylate method by using ammonia salicylate reagents powder pillows and ammonia cyanurrate reagents powder pillows. An advanced water quality laboratory spectrophotometer (HACH-DR 900) was utilized for data logging and measurement of the NH3 (mg/L). Prior to analyses, the pH of the treated and untreated SRPE was warmed and neutralized using concentrated (5 M) NaOH solution. The wavelength of the spectrometer was set to 655 nm and a 10 mL cell riser was inserted into the cell compartment. Then, 0.1 mL of sample and 10 mL of blank sample (distilled water as a control) were taken into the sample cells. Subsequently, ammonia salicylate reagent powder pillow was added into the sample and shaken for 3 min. Later, ammonia cyanurate reagent powder was added to the same sample cell and shaken for 15 min. The spectrophotometer was then zeroed with blank sample and the sample concentration of NH3 was measured in mg/L.

2.3. Coagulations Experiments Procedure

The initial BOD, COD, SS, and NH3 concentrations were determined in untreated SRPE and are presented in Table 2. In this study, coagulation experiments were conducted for the removal of BOD, COD, SS, and NH3 from SRPE in jar tests using FeSO4·7H2O waste as a coagulant. A fabricated jar test apparatus was used for the coagulation of SPRE. The jar test apparatus consisted of six paddle rotors to stir six beakers simultaneously. Initially, 500 mL of raw SRPE were taken to each beaker at room temperature (28 ± 1 °C). The coagulation study was conducted with varying temperatures (30 to 80 °C), pH (3 to 8), coagulation times (5 to 90 min), coagulant doses (250 to 2000 mg/L), fixed rapid mixing of 3 min at 200 rpm, slow mixing time at 50 rpm to allow coagulation, and a settling time of 60 min. Immediately after complete settling time was achieved, the residual concentration of COD, BOD, SS, and NH3 in the treated SRPE supernatant were measured. The percentage removal of BOD, COD, SS, and NH3 was calculated using the following equation:
Removal   ( % )   = ( 1 C t C i ) × 100
where Ci and Ct are the initial and equilibrium concentrations at time ‘t’ of COD, BOD, SS, and NH3 in untreated and treated SRPE, respectively. The experiments were carried out in triplicate and the recorded values represent mean value ± standard deviation.

2.4. Adsorption Isotherm Modeling

Adsorption isotherms were conducted to determine the coagulant-adsorbate amalgamation through the assessment of the removal BOD, COD, SS, and NH3 from SRPE at various temperatures using Langmuir, Freundlich, and Brunauer–Emmett–Teller (BET) isotherm models. The adsorption experiments were carried out at varying temperatures (30 to 80 °C) as a function of the coagulation time (5 to 90 min) at 1 g/L of coagulant dose, pH 5, coagulation time of 60 min, and sedimentation time of 60 min. The aptness of each isotherm model was assessed via linear regression method by comparing the coefficient of determination (R2) to the experimental data. The adsorption ability was calculated by the following equation:
q e = C i C e D × V
where qe is the adsorption capacity (mg of adsorbate per mg of FeSO4·7H2O); V the volume (mL) of SRPE and D the coagulant dose (mg). The BET equation and its liner form are presented in Equations (3) and (4), respectively.
q e = A C e x m ( C s C e ) [ 1 + ( A 1 ) C e C s ]
C e ( C s C e ) q e = ( A 1 ) A x m C e C s + 1 A x m
where Ce is the final concentrations (mg/L) of BOD, COD, SS, and NH3 in treated SRPE, Cs is the saturated concentrations (mg/L) of BOD, COD, SS and NH3, qe is the amount of BOD, COD, SS and NH3 (mg/L) adsorbed by per mg of FeSO4·7H2O waste (mg/mg). A is the BET constant, which describes the intermolecular interaction the coagulant surface and adsorbate (COD, BOD, SS and NH3), xm is the amount of adsorbate (mg/L) adsorbed by the FeSO4·7H2O waste to form a monolayer (mg/mg). The Freundlich isotherm equation and the linear form of the Freundlich isotherm equation can be written as shown in Equations (5) and (6).
q e = K f C e 1 / n
log q e = log K f + 1 n log C e
where, Kf is the Freundlich affinity coefficient (L/mg) and n is the Freundlich exponential constant. The Langmuir isotherm model equation can be written as shown in Equation (7).
q e = a b C e 1 + a C e
The linear form of the Langmuir isotherm model equation can be expressed as below:
1 q e = 1 a b C e + 1 b
where a is the Langmuir constant and b the optimal coagulation value for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant.

2.5. Kinetics Modeling

Adsorption kinetics has prime importance to elucidate the physical and chemical behavior of adsorbent (physisorption or chemisorption), as well as to determine the adsorbate uptake rate by adsorbent [7,24]. Pseudo-first-order and pseudo-second-order kinetic model equations were utilized to determine the kinetics mechanisms for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. The experiments were conducted at varying temperature (30 to 80 °C) as a function of the coagulation time (5 to 90 min) at pH 5, coagulant dose of 1 g/L, 60 min of coagulation time, and 60 min of sedimentation time. The pseudo-first-order kinetic model equation can be expressed as below [24]:
ln ( q e q t ) = ln q e k 1 t
where qe and qt represents the quantity of COD, BOD, SS, and NH3 (mg/mg) removed by the FeSO4·7H2O waste at equilibrium and at time t (min), respectively, and k1 represents the pseudo-first-order coagulation rate constant (min−1). The pseudo-second-order equation can be written as shown in Equation (10) [24,25]:
t q t = 1 k 2 q e 2 + t q e
where k2 (mg/mg/min) represents the pseudo-second-order coagulation rate constant.

3. Results and Discussion

3.1. Adsorption Study

3.1.1. Effect of Initial pH

The pH plays an effective role in the removal of pollutants from industrial effluent and it influences the interaction of the coagulants in the treatment system. The pH in untreated and treated SPRE was determined using a pH meter (Mettler Toledo F20). The pH was adjusted to the desired pH using concentrate sulphuric acid and sodium hydroxide solutions. However, the initial pH (pH in untreated SPRE) and final pH (pH in treated SPRE) were determined to be pH 7.36 ± 21 and pH 6.81 ± 0.14, respectively. Figure 1 shows the influence of pH on the removal of COD, BOD, SS, and NH3 from the SRPE using FeSO4·7H2O waste as the coagulant. It was found that the removal of COD, BOD, SS, and NH3 increased with increasing pH from pH 3 to 5, and gradually decreased thereafter. The highest percentage removal of BOD, COD, SS, and NH3 achieved was 81%, 92%, 82%, and 74%, respectively, at pH 5.0, coagulant dose of 1 g/L, coagulation time of 60 min, sedimentation time 60 min, and at room temperature (28 ± 1 °C). However, the obtained removal of COD, BOD, SS, and NH3 was 70%, 86%, 59% and 72%, respectively at natural pH (without adjusting the pH). The possible mechanisms of FeSO4·7H2O coagulation can be attributed to the precipitation iron (III) hydroxide, as shown in Equations (11) to (13). However, the mechanisms for the removal of NH3 from SRPE subjected to FeSO4·7H2O coagulation can be expressed with the adsorption of ammonium ion (NH4+) on the surface of iron (III) hydroxide. Alternatively, the positively charged NH4+ could act as bridging material to combine with Fe2+ and negatively charged organic particles (OP) due to the adsorption cum co-precipitation with sludge, as shown in Equations (14) and (15).
FeSO 4 7 H 2 O F e 2 + + S O 4 2 + 7 H 2 O
F e 2 + + 2 H 2 O F e ( O H ) 2 + H 2
4 F e ( O H ) 2 + 2 H 2 O + O 2 4 F e ( O H ) 3
FeSO 4 + 2 NH 3 + 2 H 2 O ( NH 4 ) 2 SO 4 + Fe ( OH ) 2
Fe 2 + + NH 4 + + OP Fe 2 + - OP - NH 4 + - OP - Fe 2 +
The highest coagulation efficiency of FeSO4·7H2O at pH 5.0 is attributed to the highest solubility of the iron (III) hydroxide and the optimal charge density in the lower acidic environment, therefore, the organic particles gather in the sediment by adsorption or charge neutralized mechanisms. The decrease of the FeSO4·7H2O coagulation efficiency above pH 5.0 could be due to the slower solubility of iron (III) hydroxide, and therefore reduces the COD, BOD, SS and NH3 removal [25]. The pH 5.0 could be considered as the optimal pH for the removal of BOD, COD, SS, and NH3 from SPRE effluent using FeSO4·7H2O as a coagulant. These findings are in line with the previous findings for the removal of organic pollutants from agroindustrial effluent using inorganic salts as coagulants. For instance, Hossain et al. [10] found the highest recovery of BOD, COD, and TSS from palm oil mill effluent using FeSO4·7H2O waste as a coagulant at pH 5.0. Hussain et al. [25] obtained the optimal coagulation efficiency of aluminum-based metal salt at a pH range of pH 5.5 to pH 6.0 for the removal of dissolve organic matter from reservoir water. Loloei et al. [26] obtained the maximum recovery of COD (62%) and turbidity (95%) from dairy effluent at pH 5.0 using FeSO4·7H2O as a coagulant.

3.1.2. Effect of Coagulant Doses

The removal of COD, BOD, SS, and NH3 from SRPE with varying FeSO4·7H2O waste doses was determined, as illustrated in Figure 2. When 250 mg/L of dosage was applied, the lowest coagulation efficiency was achieved for the removal of COD, BOD, SS, and NH3. Therefore, it required higher doses to deal with the high content intractable organic matter present in the SPRE. It was observed that the coagulation efficiency increased with increasing coagulant doses up to 1 g/L, thereafter the FeSO4·7H2O coagulation efficiency declined with increasing doses. At the optimal FeSO4·7H2O doses (1 g/L), the removal of COD, BOD, SS, and NH3 were 81%, 92%, 82%, and 74%, respectively. The increase of the coagulation efficiency with increasing coagulation doses was obtained probably due to the increase of positive charged metal ions concentrations to neutralize negative charge organic particles [27]. Ahead of the optimal coagulant doses, the reversal charge took place on the surface of the coagulant particles with the excess amount coagulant doses, and hence the decline of the increase of coagulation efficiency. A similar observation has been obtained by Zahrim et al. [27] and Hossain et al. [10], during decolorization of highly polluted palm oil mill biogas plant effluent using ferric chloride as a sole coagulant, and treatment of raw palm oil mill effluent using FeSO4·7H2O waste as a coagulant, respectively.

3.1.3. Effect of Coagulation Time

The treatment time plays an important role by increasing the coagulant efficiency for the removal of organic pollutants from wastewater. The influence of the coagulation efficiency on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste was determined, as presented in Figure 3. From the result obtained, it was observed that the removal of COD, BOD, SS, and NH3 increased with time, up to 60 min; thereafter the coagulation efficiency for the removal of COD, BOD, SS, and NH3 was found negligible. At the 5 min treatment time, the removal efficiency obtained for COD, BOD, SS, and NH3 was 39%, 33%, 26%, and 28%, respectively. The removal efficiency increased to 81%, 92%, 82%, and 74%, respectively, at the 60 min treatment time. The maximum removal obtained for COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant were 82%, 95%, 83%, and 75%, respectively, at 70 min coagulation time for a coagulant dose of 1 g/L, pH 5.0, and sedimentation time of 60 min. The negligible increase in the FeSO4·7H2O coagulation efficiency for the removal of COD, BOD, SS, and NH3 from SRPE which were observed over the 60 min treatment time could be due to the saturation of Fe(OH)3 with the colloidal organic pollutant over the 60 min treatment time. The coagulation time is crucial for the floc formation. After rapid mixing, the organic particles and coagulant particles require times to induce and make contact for progressively forming larger agglomerates to settling down [24]. At a shorter mixing time, the poor performance of the FeSO4·7H2O waste as a coagulant on the COD, BOD, SS, and NH3 removal was observed due to the low collisions between coagulant and suspended particles which led to lower floc formation for sedimentation [8].

3.1.4. Effect of Sedimentation Time

The coagulation efficiency is highly dependent on the organic particles settling speeds and floc formation [25]. The influence of sedimentation time on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant was determined with varying sedimentation time from 30 min to 180 min at pH 5.0, coagulant dose of 1 g/L, and coagulation time of 60 min, as shown in Figure 4. As shown in Figure 4, it was observed that the coagulation efficiency increased with increasing sedimentation time up to 60 min, thereafter the increase was found to be negligible. At 30 min sedimentation time, the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant were 75%, 87%, 69% and 69%, respectively. However, the removal efficiency of COD, BOD, SS, and NH3 increased to 81%, 92%, 82%, and 74%, respectively, at 60 min sedimentation time. Coagulation is an indispensable process to aggregate colloidal organic particles to larger flocs by the neutralization of the surface charges. The degree of aggregation is influenced by the settlement process [28]. In this regard, it results in the clustering of the molecules on the surface of the coagulant. Consequently, it leads to the removal of the pollutant parameters from the wastewater. However, it can be assumed that the optimal sedimentation time for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant was 60 min, as per recorded in this study.

3.1.5. Effect of Temperature

The removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste was determined with varying temperatures from room temperature (28 ± 1 °C) to 80 °C, as presented in Figure 5. It was found that temperature potentially influences the coagulation efficiency of FeSO4·7H2O waste. At room temperature, the removal of COD, BOD, SS, and NH3 was found to be 81%, 92%, 82%, and 74%, respectively. The removal COD, BOD, SS, and NH3 rapidly increased with increasing temperature and reached maximum at 70 °C, however, the removal efficiency was decreased with a further increase of temperature above 70 °C. The maximum removal of COD (97%), BOD (99%), SS (98%), and NH3 (95%) were obtained at 70 °C. The increased coagulation efficiency with increasing temperature which was observed could be due to the reduction of viscosity with an enhancing dispersion rate of the organic particles towards the boundary line of FeSO4·7H2O waste. In addition, the kinetics energy of the iron (II) particles could increase with the elevated temperature, which enabled collisions with negatively charged organic particles in SPRE, and therefore increased the coagulation efficiency [10]. However, the decrease in adsorption efficiency with increasing temperature above 70 °C could be due to the weakening of the favorable intermolecular force between the coagulant particles+ and organic particles present in SPRE.
Although the optimal removal of COD, BOD, SS, and NH3 was gained at 70 °C, increasing the temperature to 70 °C is costly and energy consuming. However, the removal of NH3-N from wastewater is challenging using the physicochemical process including coagulation to mitigate stringent discharge limits set by DoE, Malaysia. Therefore, the economic aspect of raising the temperature to 70 °C would be considered in order to preserve the environment and minimize the surface water pollution. Additionally, renewable energy such as solar power could be used to increase the temperature during coagulation in a large-scale water treatment plan.

3.2. Coagulation Equilibrium Studies

The coagulation equilibrium studies reflect the dependence of the amount of adsorbate particle adsorbed on the surface of the coagulant. In order to determine the nature of the coagulation process, mass balance mathematical equations are required. Although a number of the mathematical models have been utilized in the literature to determine the quantity of adsorbate particles and the nature of adsorption, the Longmuir, Freundlich, and BET models are the mathematical model equations that are used most often. An adsorption study was conducted to model the experimental data obtained from the effect of the process variables for the removal of BOD, COD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. The amalgamations between FeSO4·7H2O and organic particles present in the SPRE were determined using BET, Freundlich, and Langmuir isotherm models, as shown in Figure 6, Figure 7 and Figure 8.
The BET model is an empirical version of the Langmuir isotherm model equation [24]. This isotherm model was developed based on several assumptions and can be deduced from either kinetics consideration or thermodynamics of adsorption. The BET model illustrates that coagulation and adsorption occurred by binding the adsorbate onto the surface of the adsorbent in a multilayer formation with random distribution of the adsorbed particles [29]. Figure 6 shows the BET isotherm for the removal of COD, BOD SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant. The constant values such as xm (amount of adsorbate adsorbed by the coagulant to form a monolayer) and A (interaction energy between adsorbate and coagulant surface) were determined, as presented in Table 3. It was found that the A values for the removal of COD, BOD, SS, and NH3 from SRPE were negative, which revealed that the coagulant surface was saturated with the adsorbed organic particles in a multilayer formation. The xm values were determined to be 0.544, 0.187, 0.731, and 0.230 mg/mg for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. The determined xm values indicated that 0.544 mg/mg COD, 0.187 mg/mg BOD, 0.731 mg/mg SS, and 0.230 mg/mg NH3 were adsorbed by the coagulant to form a monolayer.
The Freundlich isotherm model equation is also a modified version of the Langmuir isotherm model. This isotherm model describes the coagulation and adsorption involve adsorbing adsorbent particles on the surface of the coagulant in a multilayer formation with heterogeneous and non-uniform distribution. However, it is a reversible adsorption process and not restricted to the monolayer adsorption formation [29]. The Freundlich isotherms for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant were determined and are presented in Figure 7. The Freundlich affinity constant (Kf) values for the removal of COD, BOD, SS, and NH3 were found to be 1.603, 0.222, 1.621, and 0.645 L/mg, respectively (Table 3). It was found that the Freundlich exponential constant (Kf) values were between the range of 1 to 10 (Table 1), thus, the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant is favorable [28].
The Langmuir isotherm model describes the surface homogeneity of the coagulation and adsorption with the hypothesis that the coagulation and adsorption occur in monolayer formation of the adsorbate at a specific homogeneous site of the coagulant surface with equally distributed energy levels [25,30]. Figure 8 shows the Langmuir isotherms for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant. It was found that the calculated a (Langmuir constant) values and b (maximum coagulation) values are positive (Table 3), suggesting that the adsorption of organic particles from SRPE using FeSO4·7H2O waste is favorable.
For the Langmuir isotherm model, the isotherm shape is utilized to predict the favorability of an adsorption process with a specific experimental condition. However, the adsorption behavior of FeSO4·7H2O waste for the removal of COD, BOD, SS, and NH3 from SRPE could be better expressed using the Langmuir isotherm model by the determination of dimensional constant (RL), also called equilibrium parameter, defined as [23]:
R L = 1 1 + b C i
where Ci is the initial concentration of COD, BOD, SS, and NH3 in mg/L and b is the Langmuir constant. On the basis of the RL value, the adsorption behavior can be classified into four groups, such as favorable (0 ˂ RL ˂ 1), unfavorable (RL > 1), liner (RL = 1), and irreversible (RL = 1). As can be seen in Table 3, the RL values for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste were within the range of 0 ˂ RL ˂ 1, indicating that the adsorption of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste is favorable. The coefficient of determination (R2) values for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste are displayed in Table 3 and indicate that BET, Freundlich, and Langmuir isotherm model were well fitted to describe the adsorption behavior for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant. However, a better fit with the BET isotherm model was statistically confirmed with the greater R2 values of 0.996, 0.999, 0.992, and 0.982 for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant. This implies that the BET model better describes the adsorption isotherm for FeSO4·7H2O. Wherein, the adsorption behavior of FeSO4·7H2O indicates that the adsorption which takes place on the surface of iron hydroxide precipitates with random distribution and multilayer formation. This observation is similar to the studies reported by Hossain et al. [8] and Hussain et al. [22]. Hussain et al. [22] found that the BET surface model best described the adsorption behavior of aluminum-based metal salts for the removal of organic contaminates from river and reservoir waters. Similarly, Hossain et al. [10] observed that the BET surface model best fitted with adsorption isotherm for the removal COD, BOD, and TSS from raw palm oil mill effluent using FeSO4·7H2O waste as a coagulant.

3.3. Adsorption Kinetics

The adsorption kinetics for the removal of COD, BOD, SS, and NH3 from rubber processing effluent using FeSO4·7H2O waste as a coagulant were determined to elucidate adsorption mechanisms. Generally, the mechanisms of adsorption depend on the mass transport process and the chemical characteristics of the adsorbent [31,32]. To determine the adsorption mechanisms for the removal of COD, BOD, SS, and NH3 in FeSO4·7H2O waste and determining the potential rate of mass transfer, the present study utilized pseudo-first-order and pseudo-second-order kinetic models as shown in Equations (9) and (10), respectively.
The adsorption capacity denoted by qt (mg/mg) at each predetermined time interval was obtained from the kinetic study. The uptake capacity at the equilibrium time interval is represented as q e (mg/mg). The kinetics of the adsorption is used to determine the rate of the uptake of organic particles, which describes the uptake capacity of adsorbate on the surface of the coagulant at each equilibrium contact time. In this study, the pseudo-first-order and pseudo-second-order kinetic models were used to analyze the rate of adsorption process by fitting the experimental data to the kinetic models. The plot of ln (qe-qt) against t (min) was used to determine the pseudo-first-order kinetics for the treatment of SPRE using FeSO4·7H2O waste. The values of q e (mg/mg) and k1 were determined from the slope and intercept of the linearized plot [24]. A slope of 1 q e   and the intercept   1 K 2 q e 2 represents the graph of t q t against t (min) for the pseudo-second-order kinetic models. The adsorption kinetics studies for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O waste as a coagulant using pseudo-first-order kinetics model (a) and pseudo-second-order kinetic model (b) are presented in Figure 9, Figure 10, Figure 11 and Figure 12, respectively.
Table 4 shows the qe values (experimental and calculated values from Figure 9, Figure 10, Figure 11 and Figure 12), pseudo-first-order and pseudo-second-order rate constant values, and correlation coefficient (R2) values. However, the differences between experimental and predicted qe values and correlation coefficients were utilized to determine the best fitted kinetics model for the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. It was found that the R2 values for the pseudo-second-order kinetic model (R2 > 0.999) were much closer to unity than the pseudo-first-order kinetic model (R2 ˂ 0.999). Moreover, the experimental qe values for the removal of COD, BOD, SS, and NH3 were more closely matched with the theoretical qe values of pseudo-second-order kinetic model than those from the pseudo-first-order kinetic model. Therefore, we concluded that the adsorption mechanism for the removal of COD, BOD, SS and NH3 from SRPE using FeSO4·7H2O as a coagulant was best described by the pseudo-second-order kinetic model. Thus, we concluded that chemisorption could be the possible adsorption mechanism for the removal of BOD, COD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant [28].

4. Conclusions

In this study, the FeSO4·7H2O waste byproduct from titanium oxide industry was implemented for the removal of COD, BOD, SS, and NH3 from the SRPE. We found that the coagulation efficiency of FeSO4·7H2O waste was potentially influenced by pH, doses, coagulation time, and temperature. The highest gain in the percentage removal of BOD, COD, SS, and NH3 was approximately 97%, 99%, 98%, and 95% for the removal of COD, BOD, SS, and NH3 at pH 5.0, coagulant dose of 1 g/L, coagulation time of 60 min, sedimentation time of 60 min, and at the elevated temperature of 70 °C. The adsorption equilibrium studies revealed that the best adsorption isotherm model was the BET model. This indicates that the FeSO4·7H2O adsorption for the removal of COD, BOD, SS, and NH3 from SPRE happens on the surface of iron hydroxide precipitates with random distribution and multilayer formation. The kinetics analyses show that the adsorption mechanism was best described by the pseudo-second-order kinetic model, which indicates that chemisorption could be a possible coagulation and adsorption mechanism. The finding of the present study revealed that FeSO4·7H2O waste obtained from the titanium oxide processing industry has the potential to be used as a coagulant to treat rubber processing wastewater with minimal cost, as the FeSO4·7H2O is an industrial byproduct.

Author Contributions

Conceptualization, M.S.H. and Z.T.; methodology, R.N.; validation, M.S.H., Z.T., and M.O.A.K.; formal analysis, A.J.A.; investigation, A.J.A.; resources, M.O.A.K.; data curation, Z.T.; writing—original draft preparation, R.N.; writing—review and editing, M.S.H.; visualization, Z.T.; supervision, Z.T.; project administration, A.J.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

Authors would like to thank the Sime Darby Research Sdn Bhd, Carry Island Malaysia, and the Centre for Research & Innovation, Universiti Kuala Lumpur for providing financial support for completing this project.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Agustina, T.E.; Sirait, E.J.; Silalahi, H. Treatment of rubber industry wastewater by using Fenton reagent and activated carbon. J. Teknol. 2017, 79, 31–37. [Google Scholar] [CrossRef] [Green Version]
  2. Mokhtar, N.M.; Lau, W.J.; Ismail, A.F.; Veerasamy, D. Membrane Distillation Technology for Treatment of Wastewater from Rubber Industry in Malaysia. Procedia Cirp 2015, 26, 792–796. [Google Scholar] [CrossRef] [Green Version]
  3. Dunuwila, P.; Rodrigo, V.H.L.; Goto, N. Sustainability of natural rubber processing can be improved: A case study with crepe rubber manufacturing in Sri Lanka. Resour. Conserv. Recycl. 2018, 133, 417–427. [Google Scholar] [CrossRef]
  4. Rahman, A.; Habib, S.; Rahman, M.; Sajib, M.S.J.; Yousuf, A. A novel multi-phase treatment scheme for odorous rubber effluent. Environ. Technol. 2019, 1–7. [Google Scholar] [CrossRef] [PubMed]
  5. Bhateria, R.; Jain, D. Water quality assessment of lake water: A review. Sustain. Water Resour. Manag. 2016, 2, 161–173. [Google Scholar] [CrossRef] [Green Version]
  6. Malaysian Rubber Export Promotion Council-Annual Report; MREPC: Kuala Lumpur, Malaysia, 2018.
  7. Tanikawa, D.; Syutsubo, K.; Watari, T.; Miyaoka, Y.; Hatamoto, M.; Iijima, S.; Fukuda, M.; Nguyen, N.B.; Yamaguchi, T. Greenhouse gas emissions from open-type anaerobic wastewater treatment system in natural rubber processing factory. J. Clean. Prod. 2016, 119, 32–37. [Google Scholar] [CrossRef] [Green Version]
  8. Owamah, H.I.; Enaboifo, M.A.; Izinyon, O.C. Treatment of wastewater from raw rubber processing industry using water lettuce macrophyte pond and the reuse of its effluent as biofertilizer. Agric. Water Manag. 2014, 146, 262–269. [Google Scholar] [CrossRef] [Green Version]
  9. Nazlizan, N.; Zawawi, D.; Halizah, A.; Nur Adila Ab, A.; Baharin, A.; Mohd Baharudin, R.; Mahmoud Hijab, A.; Husnul Azan, T. Utilization of Empty Fruit Bunch as Potential Adsorbent for Ammonia Nitrogen Removalin Natural Rubber Wastewater. Int. J. Integr. Eng. 2018, 10, 27–32. [Google Scholar]
  10. Hossain, M.S.; Omar, F.; Asis, A.J.; Bachmann, R.T.; Islam Sarker, M.Z.; Ab Kadir, M.O. Effective treatment of palm oil mill effluent using FeSO4.7H2O waste from titanium oxide industry: Adsorption isotherm and kinetics studies. J. Clean. Prod. 2019, 219, 86–98. [Google Scholar] [CrossRef]
  11. Ahmed, M.B.; Zhou, J.L.; Ngo, H.H.; Guo, W.; Thomaidis, N.S.; Xu, J. Progress in the biological and chemical treatment technologies for emerging contaminant removalfrom wastewater: A critical review. J. Hazard. Mater. 2017, 323, 274–298. [Google Scholar] [CrossRef] [PubMed]
  12. Bashir, M.J.K.; Lim, J.H.; Abu Amr, S.S.; Wong, L.P.; Sim, Y.L. Post treatment of palm oil mill effluent using electro-coagulation-peroxidation (ECP) technique. J. Clean. Prod. 2019, 208, 716–727. [Google Scholar] [CrossRef]
  13. Arturi, T.S.; Seijas, C.J.; Bianchi, G.L. A comparative study on the treatment of gelatin production plant wastewater using electrocoagulation and chemical coagulation. Heliyon 2019, 5, e01738. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Kumar, S.S.; Kumar, V.; Kumar, R.; Malyan, S.K.; Bishnoi, N.R. Ferrous sulfate as an in-situ anodic coagulant for enhanced bioelectricity generation and COD removalfrom landfill leachate. Energy 2019, 176, 570–581. [Google Scholar] [CrossRef]
  15. Wang, X.; Zhang, H.; Wang, L.; Chen, J.; Xu, S.; Hou, H.; Shi, Y.; Zhang, J.; Ma, M.; Tsang, D.C.W.; et al. Transformation of arsenic during realgar tailings stabilization using ferrous sulfate in a pilot-scale treatment. Sci. Total Environ. 2019, 668, 32–39. [Google Scholar] [CrossRef] [PubMed]
  16. Teh, C.Y.; Budiman, P.M.; Shak, K.P.Y.; Wu, T.Y. Recent Advancement of Coagulation–Flocculation and Its Application in Wastewater Treatment. Ind. Eng. Chem. Res. 2016, 55, 4363–4389. [Google Scholar] [CrossRef]
  17. Hosseini, S.E.; Abdul Wahid, M. Pollutant in palm oil production process. J. Air Waste Manag. Assoc. 2015, 65, 773–781. [Google Scholar] [CrossRef] [PubMed]
  18. Li, X.; Lei, Z.; Qu, J.; Li, Z.; Zhou, X.; Zhang, Q. Synthesizing slow-release fertilizers via mechanochemical processing for potentially recycling the waste ferrous sulfate from titanium dioxide production. J. Environ. Manag. 2017, 186, 120–126. [Google Scholar] [CrossRef] [PubMed]
  19. Huang, P.; Deng, S.; Zhang, Z.; Wang, X.; Chen, X.; Yang, X.; Yang, L. A sustainable process to utilize ferrous sulfate waste from titanium oxide industry by reductive decomposition reaction with pyrite. Thermochim. Acta 2015, 620, 18–27. [Google Scholar] [CrossRef]
  20. Zouboulis, A.I.; Moussas, P.A.; Vasilakou, F. Polyferric sulphate: Preparation, characterisation and application in coagulation experiments. J. Hazard. Mater. 2008, 155, 459–468. [Google Scholar] [CrossRef] [PubMed]
  21. Su, C.; Ludwig, R.D. Treatment of Hexavalent Chromium in Chromite Ore Processing Solid Waste Using a Mixed Reductant Solution of Ferrous Sulfate and Sodium Dithionite. Environ. Sci. Technol. 2005, 39, 6208–6216. [Google Scholar] [CrossRef]
  22. Rice, E.W.; Bridgewater, L.; Association, A.P.H.; Association, A.W.W.; Federation, W.E. Standard Methods for the Examination of Water and Wastewater; American Public Health Association: Washington, DC, USA, 2012. [Google Scholar]
  23. Department of Environment. Malaysia: Environmental Quality Act. Report; Ministry of Science, Technology and the Environment: Putrajaya, Malaysia, 2017.
  24. Adebisi, G.A.; Chowdhury, Z.Z.; Alaba, P.A. Equilibrium, kinetic, and thermodynamic studies of lead ion and zinc ion adsorption from aqueous solution onto activated carbon prepared from palm oil mill effluent. J. Clean. Prod. 2017, 148, 958–968. [Google Scholar] [CrossRef]
  25. Hussain, S.; van Leeuwen, J.; Chow, C.; Beecham, S.; Kamruzzaman, M.; Wang, D.; Drikas, M.; Aryal, R. Removal of organic contaminants from river and reservoir waters by three different aluminum-based metal salts: Adsorption and kinetics studies. Chem. Eng. J. 2013, 225, 394–405. [Google Scholar] [CrossRef]
  26. Loloei, M.; Alidadi, H.; Nekonam, G.; Kor, Y. Study of the coagulation process in wastewater treatment of dairy industries. Int. J. Environ. Health Eng. 2014, 3, 12. [Google Scholar] [CrossRef]
  27. Yan, M.; Wang, D.; Yu, J.; Ni, J.; Edwards, M.; Qu, J. Enhanced coagulation with polyaluminum chlorides: Role of pH/Alkalinity and speciation. Chemosphere 2008, 71, 1665–1673. [Google Scholar] [CrossRef] [PubMed]
  28. Zahrim, A.Y.; Dexter, Z.D.; Joseph, C.G.; Hilal, N. Effective coagulation-flocculation treatment of highly polluted palm oil mill biogas plant wastewater using dual coagulants: Decolourisation, kinetics and phytotoxicity studies. J. Water Process. Eng. 2017, 16, 258–269. [Google Scholar] [CrossRef] [Green Version]
  29. Bedin, K.C.; Souza, I.P.A.F.; Cazetta, A.L.; Spessato, L.; Ronix, A.; Almeida, V.C. CO2-spherical activated carbon as a new adsorbent for Methylene Blue removal: Kinetic, equilibrium and thermodynamic studies. J. Mol. Liq. 2018, 269, 132–139. [Google Scholar]
  30. Almasri, D.A.; Saleh, N.B.; Atieh, M.A.; McKay, G.; Ahzi, S. Adsorption of phosphate on iron oxide doped halloysite nanotubes. Sci. Rep. 2019, 9, 3232. [Google Scholar] [CrossRef] [PubMed]
  31. Lin, J.; Zhan, Y.; Zhu, Z. Adsorption characteristics of copper (II) ions from aqueous solution onto humic acid-immobilized surfactant-modified zeolite. Colloids Surf. A Physicochem. Eng. Asp. 2011, 384, 9–16. [Google Scholar] [CrossRef]
  32. Achak, M.; Hafidi, A.; Ouazzani, N.; Sayadi, S.; Mandi, L. Low cost biosorbent “banana peel” for the removalof phenolic compounds from olive mill wastewater: Kinetic and equilibrium studies. J. Hazard. Mater. 2009, 166, 117–125. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Influence of pH on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. Doses 1 g/L, coagulation time of 60 min, and sedimentation time of 60 min.
Figure 1. Influence of pH on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. Doses 1 g/L, coagulation time of 60 min, and sedimentation time of 60 min.
Water 12 01747 g001
Figure 2. Influence of coagulant doses on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. pH 5, coagulation time of 60 min, and sedimentation time of 60 min.
Figure 2. Influence of coagulant doses on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. pH 5, coagulation time of 60 min, and sedimentation time of 60 min.
Water 12 01747 g002
Figure 3. Influence of coagulation time on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. pH 5, doses 1 g/L, and sedimentation time 60 min.
Figure 3. Influence of coagulation time on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. pH 5, doses 1 g/L, and sedimentation time 60 min.
Water 12 01747 g003
Figure 4. Influence of sedimentation time on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. pH 5, doses 1 g/L, and coagulation time 60 min.
Figure 4. Influence of sedimentation time on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. pH 5, doses 1 g/L, and coagulation time 60 min.
Water 12 01747 g004
Figure 5. Influence of coagulant temperature on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. RT, room temperature. pH 5, doses 1 g/L, coagulation time 60 min, and sedimentation time 60 min.
Figure 5. Influence of coagulant temperature on the removal of COD, BOD, SS, and NH3 from SRPE using FeSO4·7H2O as a coagulant. RT, room temperature. pH 5, doses 1 g/L, coagulation time 60 min, and sedimentation time 60 min.
Water 12 01747 g005
Figure 6. BET adsorption isotherm modeling for the removal of (a) COD; (b) BOD; (c) SS; and (d) NH3 from SRPE using FeSO4·7H2O as a coagulant.
Figure 6. BET adsorption isotherm modeling for the removal of (a) COD; (b) BOD; (c) SS; and (d) NH3 from SRPE using FeSO4·7H2O as a coagulant.
Water 12 01747 g006
Figure 7. Freundlich adsorption isotherm modeling for the removal of (a) COD; (b) BOD; (c) SS; and (d) NH3 from SRPE using FeSO4·7H2O as a coagulant.
Figure 7. Freundlich adsorption isotherm modeling for the removal of (a) COD; (b) BOD; (c) SS; and (d) NH3 from SRPE using FeSO4·7H2O as a coagulant.
Water 12 01747 g007
Figure 8. Langmuir adsorption isotherm modeling for the removal of (a) COD; (b) BOD; (c) SS; and (d) NH3 from SRPE using FeSO4·7H2O as a coagulant.
Figure 8. Langmuir adsorption isotherm modeling for the removal of (a) COD; (b) BOD; (c) SS; and (d) NH3 from SRPE using FeSO4·7H2O as a coagulant.
Water 12 01747 g008
Figure 9. Adsorption kinetics studies for the removal of COD from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetic model and (b) pseudo-second-order kinetic model.
Figure 9. Adsorption kinetics studies for the removal of COD from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetic model and (b) pseudo-second-order kinetic model.
Water 12 01747 g009
Figure 10. Adsorption kinetics studies for the removal of BOD from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetic model and (b) pseudo-second-order kinetic model.
Figure 10. Adsorption kinetics studies for the removal of BOD from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetic model and (b) pseudo-second-order kinetic model.
Water 12 01747 g010
Figure 11. Adsorption kinetics studies for the removal of SS from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetics model and (b) pseudo-second-order kinetics model.
Figure 11. Adsorption kinetics studies for the removal of SS from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetics model and (b) pseudo-second-order kinetics model.
Water 12 01747 g011aWater 12 01747 g011b
Figure 12. Adsorption kinetics studies for the removal of NH3 from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetic model and (b) pseudo-second-order kinetic model.
Figure 12. Adsorption kinetics studies for the removal of NH3 from SRPE using FeSO4·7H2O as a coagulant. (a) Pseudo-first-order kinetic model and (b) pseudo-second-order kinetic model.
Water 12 01747 g012
Table 1. Typical analyses of FeSO4·H2O waste.
Table 1. Typical analyses of FeSO4·H2O waste.
ElementsUnitContent
Fe(II)%17.5–18.6
Free moisture%<1
Solubility in water at 25 °Cg/100 mL29.51
Free Fe2SO4%<2
Mn%<0.2
Zn%<0.02
Ti%<0.01
Nippm<20
Crppm<5
Cuppm<5
Cdppm<5
Hgppm<0.01
Table 2. The initial BOD, COD, SS, and NH3 concentrations were determined in untreated SRPE.
Table 2. The initial BOD, COD, SS, and NH3 concentrations were determined in untreated SRPE.
ParameterUnitConcentration
BODmg/L220 ± 4
CODmg/L930 ± 15
SSmg/L1148 ± 12
NH3mg/L440 ± 6
Table 3. BET, Freundlich, and Langmuir model data for the removal of COD, BOD, SS, and NH3 from Rubber processing effluent using FeSO4·7H2O waste as a coagulant.
Table 3. BET, Freundlich, and Langmuir model data for the removal of COD, BOD, SS, and NH3 from Rubber processing effluent using FeSO4·7H2O waste as a coagulant.
AdsorbateBET ModelFreundlich ModelLangmuir ModelRL
R2AXm (mg/mg)R2Kf (L/mg)nR2a (L/mg)b (mg/mg)
COD0.9959−33.4740.5440.97941.6036.9350.91800.0740.7090.001
BOD0.9987−630.1530.1870.93300.2223.5460.769010.3270.2060.022
SS0.9924−57.4450.7310.93191.62110.1520.76160.1480.9470.001
NH30.9823−31.1000.2300.89130.6457.4850.64810.2540.3440.006
Table 4. Kinetics parameters for the removal COD, BOD, and TSS from SRPE using FeSO4·7H2O as a coagulant.
Table 4. Kinetics parameters for the removal COD, BOD, and TSS from SRPE using FeSO4·7H2O as a coagulant.
ParametersTemperature (°C)qe (exp) (mg/mg)Pseudo-First-Order KineticsPseudo-Second-Order Kinetics
qe (mg/mg)k1 (min−1)R2qe (mg/mg min)k2 (mg/mg min)R2
COD300.7590.8345.7440.96440.7600.0620.9962
400.8090.8745.2640.97190.8320.0950.9992
600.8340.9034.4150.95070.8630.1150.9983
800.8560.8932.5320.93560.8700.2160.9992
BOD300.2030.2245.1600.92220.2020.4890.9965
400.2100.2285.5660.98420.2170.5840.9990
600.2170.2313.8880.97610.2210.7770.9989
800.2180.2261.8010.90560.2191.5820.9997
SS300.9451.11812.7160.98911.0390.0880.9975
401.0241.1345.5160.91971.0230.1560.9963
601.0631.1634.7510.9171.0750.2090.9959
801.1051.1662.7630.89411.1010.3390.9988
NH3300.3300.3679.7130.99720.3700.2870.9994
400.3850.4175.9520.98840.3930.2860.9979
600.4010.4325.2050.96010.3940.2640.9964
800.4270.4503.8050.99040.4350.4410.9994

Share and Cite

MDPI and ACS Style

Ngteni, R.; Hossain, M.S.; Ab Kadir, M.O.; Asis, A.J.; Tajudin, Z. Kinetics and Isotherm Modeling for the Treatment of Rubber Processing Effluent Using Iron (II) Sulphate Waste as a Coagulant. Water 2020, 12, 1747. https://doi.org/10.3390/w12061747

AMA Style

Ngteni R, Hossain MS, Ab Kadir MO, Asis AJ, Tajudin Z. Kinetics and Isotherm Modeling for the Treatment of Rubber Processing Effluent Using Iron (II) Sulphate Waste as a Coagulant. Water. 2020; 12(6):1747. https://doi.org/10.3390/w12061747

Chicago/Turabian Style

Ngteni, Rahmat, Md. Sohrab Hossain, Mohd Omar Ab Kadir, Ahmad Jaril Asis, and Zulhafiz Tajudin. 2020. "Kinetics and Isotherm Modeling for the Treatment of Rubber Processing Effluent Using Iron (II) Sulphate Waste as a Coagulant" Water 12, no. 6: 1747. https://doi.org/10.3390/w12061747

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop