Introduction

The major industrial sources impact the environment as a result of producing heavy metals. The existence of heavy metals in wastewater due to many manufacturing processes is a legalized problem worldwide. The most common sources of heavy metals obtained from surface finishing processes as well as industrial products that ends up in wastewater (Hui et al. 2005; Karvelas et al. 2003; Ahluwalia 2007). Removing heavy metals from industrial wastewater required high energy or special operational requirements. Several techniques such as adsorption, extraction, disambiguation, clotting, ion-exchange, and membrane processes are supposed for the handling of wastewater pollution (Babel and Kurniawan 2003a; Wang and Peng 2010a; Kwon et al. 2010). Adsorption method form an appropriate method for wastewater handling because of its cost effectiveness and simplicity, among all these methods (Gupta et al. 2006; Ali 2012; Yadanaparthi et al. 2009; Argun 2008; Rashed 2011).

Regardless of the effectiveness of activated carbon for prevailing the metal ions load, particular attention have been drawn by several inspector to the common adsorbents like silica, sand, activated alumina, clays, and natural zeolite for their relatively low costs and natural characteristics (Panayotova 2001; Bailey et al. 1999; Babel and Kurniawan 2003b). Actually, zeolite gains progressive attraction of many investigator because of its special characteristic such as ion exchange capacity, hydration-dehydration, and adsorption (Caputo and Pepe 2007; Wang and Peng 2010b; Zhang 2006).

Zeolites are aluminosilicate minerals of alkali or alkaline earth metal which contains crystal water. Zeolites consist of three-dimensional networks of aluminate and silicone dioxide tetrahedral linked by partnership of all oxygen atoms. The voids make up from 20 to 50 % of the total crystal volume of most zeolites. (Mumpton 1978, 1996; Gottardi 1978). For wastewater treatment, the most important properties of natural zeolite are cation exchange capacity and ion selectivity (Colella 1996).

Removing of heavy metal by natural zeolites with respect to Co2+, Cu2+, Zn2+, and Mn2+ were studied by Erdem et al. (2004). The study achieved using batch process technique and the effect of varying the initial heavy metal concentration also considered. They concluded that the adsorption process rely on bulk density and size of hydrated ion. The selectivity succession of metal ionic according to their equilibrium studies was specified like Co2+ > Cu2+ > Zn2+ > Mn2+.

Loizidou and Townsend (1987) indicated that natural zeolite is able to eliminate some of heavy metals effectively from industrial wastewater. The ability of the zeolite to be regenerated is an important issue that must be well considered together with the other relevant properties such as its selectivity to eliminate heavy metals toxicity from aqueous solutions.

There are a large number of processes that have been improved and used over the years to eliminate dissolved of cadmium and copper in industrial wastewater treatment using clotting, adsorption, ion exchange, extraction, etc. (Lewinsky 2006; Blocher et al. 2003; Izanloo and Nasseri 2005; Dhaba and Hussein 2014). This conventional technique is often neither effective nor economically especially when the cadmium and copper ion metal are presented at relatively low concentration.

Recently, Rao et al. (2005) evaluated the sorption process for cadmium and copper from aqueous solutions using activated coal. The effect of initial heavy metal load, adsorbent mass, and time contacting on adsorption ability were estimated. They analyzed and correlated the experimental data according to both Freundlich and Langmuir model. The highest uptake of copper and cadmium was found to be 20 mg/g for cadmium and copper. The maximum uptake capacities of cadmium and copper were 88 and 90 %, respectively.

Zeolite was reported for the first time in Jebel Aritain discrete (Jordan) in 1987. Since that, various studies have been carried out to inspect the genesis applicability of NJ zeolites in different applications such as, water treatment, agriculture, water filter and the environmental protection (Dwiri 1987; Sharadqah and Al-Dwairi 2010).

The capability of Jordanian zeolite was studied by Marashdeh et al. (2009), to eliminate heavy metals (Cr and Cd from electroplating wastewater). Batch and continues packed column experiments were used for sorption of metal in their single and binary solution. The bulk concentration of Cd2+ and Cr3+ ranged from 50 to 75 mg/L. The experimental results showed that the uptake capacities increase with initial heavy metal concentration. From the equilibrium studies the adsorption capacity of zeolite for cadmium q e = 25.5 mg/g was higher than that for chrome q e = 19.75 mg/g. The uptake of both metals was decreased when combined together with equal concentration in a solution, 64 % decrease for cadmium q e = 9.5 mg/g and 31 % decrease for chromium q e = 13.5 mg/g.

A packed bed column was constructed by Taamneh and Dwairi (2013) to estimate the capacity of NJ zeolite to bring out nickel from aqueous solutions. The NJ zeolite specimen was picked up from Jabal AL Aritayn discrete (Jordan). The experimental results of adsorption process in a packed bed column are used to bear out the accuracy of Klinkenberg correlation model. The Klinkenberg equation was employed to predict the effective diffusivity constant.

Baker et al. (2009) investigated the uptake capacity of heavy metals ions like Cr3+, Cd2+, Cu2+, and Pb2+ using NJ zeolite for batch and packed bed column at the following condition: pH 3.0, volume of solution 1 L, temperature of 25 °C and phillipsite dose 5 g. The Jordanian phillipsite tuff presented high selectivity for the discharge of lead about 98 % achieved within 90 min, then chrome (III), copper, and cadmium about 96 % removal achieved within 5 h. The adsorption capacity of phillipsite tuff by assuming initial concentration of cadmium 30 mg/L was calculated about 0.24 mg Cd/g zeolite.

As concluded from literature review, NJ zeolites have been used to eliminate different heavy metals ions from prepared synthetic solution. But there has been no effort devoted to correlate the experimental data with both sorption isotherm and kinetics model. In this work, our aim object is to investigate the adsorption process of cadmium and copper on NJ zeolite and correlate the data with well-known isotherms and kinetic model.

Materials and methods

Natural Jordanian zeolite (NJ zeolite)

The samples of natural zeolite were picked up from Al-Mafraq area, northeast of Jordan. The bulk sample was washed by distilled water to eliminate most of the surface dust. Then the sample was crushed and sieved into two different grain sizes (less than 0.4 mm and 0.4–4 mm). The experiments were performed with grain size distribution less than 0.4 mm in diameter. Their distribution was measured using laser diffraction instrument (see Fig. 1). X-ray diffraction was obtained before and after treatment with sodium chloride. The chemical analyses composition of NJ zeolite was given by Taamneh and Dwairi (2013).

Fig. 1
figure 1

a Crystallization, b pores shape, c particle size distribution, d raw materials of NJ zeolite

Chemicals and adsorption studies

Cadmium and copper nitrate which have been diluted in distilled water are used throughout the experiments. The chemicals and reagent were supplied from Merck (Germany) and of analytical grade using deionized water. The concentrations of cadmium and copper solutions were varied from 100 to 600 mg/L by diluting the stock solution. The ion exchange process on NJ zeolite was accomplished using the batch method. Throughout all the experiments, the pH value was adjusted and kept constant using 0.1 N NaOH. The glass bottles were then put on shaker for 24 h to attain the equilibrium. 5 g of NJ zeolite was used in the batch adsorption experiments with 250 mL of solutions containing different heavy metal concentration at constant pH. To have relatively clean samples for atomic absorption spectrometer analyses, filter paper (Whatman No. 43) was used. The concentration of metal ions in initial and final solution was measured by Atomic Absorption Spectrometer (AAS). The effects of concentration (100–600 mg/L), adsorption dose (5–80 g) and contact time (1–60 min) were estimated.

Sorption isotherm models

In this work, the batch adsorption technique was selected to study the adsorption and kinetic models for cadmium and copper uptake. The adsorption experimental results of cadmium and copper on NJ zeolite were analyzed according to well-known isotherm model (Freundlich and Langmuir). The uptake of heavy metal through a sequence of batch test was calculated using the following equation:

$$ q_{\text{e}} = \frac{{C_{\text{o}} - C_{\text{e}} }}{m/V} $$
(1)

where q e is the weight of heavy metal uptake per unit of NJ zeolite (mg/g); C o and C e are the initial and equilibrium concentration in the samples (mg/L), respectively; m is the adsorbent mass (mg) and V is the aqueous volume (L).

Kinetic studies

The sorption kinetic results of cadmium and copper on the NJ zeolite were analyzed according to first and second sorption kinetic equation (Sevil and Bilge 2007). Samples were sucked from the glass bottle every 2 min using glass syringe. The remaining of cadmium and copper concentration in the solution was also analyzed by AAS (atomic absorption spectrophotometer).

Results and discussion

Effect of metal concentration

To find the optimum concentration, experimental studies were carried out for a wide range of metal concentrations between 100 and 600 mg/L. The capability of sorption process was found to be stable and reached a maximum value at concentration 100 mg/L. This is because the surface where the adsorption occurs reaches its maximum uptake, i.e. no more metal ions can be adsorbed. It is also clear from Fig. 2 that the percentage of Cd and Cu removal decreases by increasing initial metal concentration. This result pointed out that with increasing metal concentration less favorable spaces become involved in the aqueous solution.

Fig. 2
figure 2

Removal efficiency of heavy metal (Cd and Cu) on NJ zeolite. m z = 5 g, V = 250 ml, pH 6, time 24 h

In this study the metal ion uptake could be referred to ion-exchange kinetics in the micro porous of NJ zeolite. Metal ions had to move through the pores of the zeolite mass as well as through channels of the lattice during the ion-exchange process and they had to substitute their cations. The adsorption percentage was larger for cadmium compared with copper.

Effect of NJ zeolite volume

The effect of NJ zeolite load on the uptake efficiency of cadmium and copper is presented in Fig. 3. The amount of zeolite required for quantitative removal of cadmium and copper from an initial metal concentration 7 mg/L was found to be 30 mg.

Fig. 3
figure 3

Heavy metal removal (Cd and Cu) as a function adsorbent dose (NJ zeolite). C o = 7 mg/L, V = 25 mL, pH 6, time 24 h

The adsorption percentage increased with zeolite mass in case of both cadmium and copper and when the adsorbent reaches beyond 30 mg became steady. The adsorption percentage was found to be 46, 15.5 % in the case of cadmium and copper, respectively, for identical zeolite dose (1 mg). It is clear that the uptake efficiency of cadmium and copper increases with the concentration of NJ zeolite. The reason for this may be the surface area of the zeolite at higher mass concentration of zeolite is more available. Therefore, the heavy metal ions have the possibility to exchange their sites over a large available surface area.

Effect of contact time

The effect of contact time on adsorption efficiency is depicted in Fig. 4. It is clear from Fig. 4 that the contact time needed to reach the maximum removal of metal by NJ zeolite was dependent on the type of heavy metal. From the economic system point of view, the role of the equilibrium time assessment is very important especially in many wastewater treatment applications. The equilibrium adsorption was attained through 20 min for both cadmium and copper metal and the equilibrium adsorption were determined at 80 and 68 mg/g (Fig. 4).

Fig. 4
figure 4

Variation of heavy metal removal (Cd, Cu) on NJ zeolite as function of contact time: C o = 7 mg/L, V = 25 ml, pH 6, time 24 h

Adsorption isotherms

Freundlich empirical equation

Although the model was first proposed extensively as an empirical equation by Freundlich (1932), many other researchers used it. Currently, Freundlich model is used in organic compounds or high-selectivity species on activated charcoal and molecular sieves. Freundlich empirical can be given by:

$$ q_{\text{e}} = k_{\text{F}} C_{\text{e}}^{{{\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 n}}\right.\kern-0pt} \!\lower0.7ex\hbox{$n$}}}} $$
(2)

The parameters k F and 1/n are Freundlich constant and sorption intensity, respectively, and these two parameters are dependent on temperature. By taking the natural logarithm of both side of Eq. 2 we get:

$$ \log q_{\text{e}} = \log k_{\text{F}} + \frac{1}{n}\log C_{\text{e}}^{{}} $$
(3)

The two parameters of Freundlich model can be calculated for cadmium and copper from the slope and intercept of the linear plot (see Table 1). The experimental data are fitted according to the linear form of Eq. (2).

Table 1 Freundlich and Langmuir constant
$$ q_{\text{e}} = 20C_{\text{e}}^{5.25} \quad r^{2} = 0.98\,{\text{for}}\,{\text{Cd}} $$
(4)
$$ q_{\text{e}} = 11C_{\text{e}}^{4.4} \quad r^{2} = 0.96\,{\text{for}}\,{\text{Cu}} $$
(5)

Langmuir equation

Langmuir models primarily developed to demonstrate gas–solid phase adsorption onto activated charcoal and it has conventionally been used to assess the performance of different adsorption systems including solid liquid systems. Langmuir model supposes monolayer adsorption, i.e. all the adsorbed molecules are in contact with the surface layer of the adsorbent. This model is presented by:

$$ q_{\text{e}} = \frac{{Q_{\text{m}} kC_{\text{e}} }}{{1 + kC_{\text{e}} }} $$
(6)

where q e and C e are the equilibrium concentration of cadmium or copper in the JN zeolite and aqueous solution in mg/g and mg/L, respectively, Q m is the sorption capacity, k is the energy of sorption constant. The linear form of Langmuir isotherm equation is given by:

$$ \frac{{C{}_{\text{e}}}}{{q_{\text{e}} }} = \frac{1}{{kQ_{\text{m}} }} + \frac{{C_{\text{e}} }}{{Q{}_{\text{m}}}} $$
(7)

The Langmuir isotherm linear equation for cadmium and copper adsorption on NJ zeolite is given by:

$$ \frac{{C{}_{\text{e}}}}{{q_{\text{e}} }} = 0.00421 + 0.04C_{\text{e}} \quad r^{2} = 0.98\,{\text{for}}\,{\text{Cd}} $$
(8)
$$ \frac{{C{}_{\text{e}}}}{{q_{\text{e}} }} = 0.0095 + 0.0699C_{\text{e}} \quad r^{2} = 0.97\,{\text{for}}\,{\text{Cu}} $$
(9)

The Freundlich and Langmuir isotherm parameters and the statistical fits of cadmium and copper adsorption using NJ Zeolite are presented in Table 1. It is very important to analyze the experimental data in terms of Langmuir and Freundlich isotherm sorption models. The sorption constant and regression coefficient for both Freundlich and Langmuir sorption model are given in Table 1. The comparison between the experimental adsorption results with the empirical isotherm models (Freundlich and Langmuir model) on cadmium and copper using NJ zeolite sorbent are depicted in Fig. 5. It can be noted from Fig. 5 that the adsorption experimental results are better fitted to Freundlich isotherm model than to Langmuir isotherm model. The calculated sorption capacities for cadmium and copper fitted to Langmuir linear equation were 25.9 and 14.3 mg/g, respectively. The parameters k F and n were calculated by linear Freundlich equation from experimental sorption data as 20, 5.2 for cadmium and 11, 4.4 for copper (see Table 1).

Fig. 5
figure 5

Adsorption isotherms experimental data of cadmium and copper on NJ zeolite compared with Freundlich and Langmuir isotherm model at the same condition

Sorption kinetic models

The amount of cadmium and copper adsorbed, q t, at time t was calculated from the following equation:

$$ q_{\text{t}} = \frac{{C_{\text{o}} - C_{\text{e}} }}{m/V} $$
(10)

The removal of copper and cadmium from zeolite as a function of time can be mathematically expressed in terms of different kinetic adsorption models such as:

Pseudo-first-order kinetic model (Langerhans rate equation)

Pseudo-first-order kinetic model supposes that the rate of change of adsorbate uptake with time is directly proportional to the difference in the equilibrium concentration and the amount of adsorbate uptake with time (Ho and McKay 1998). The kinetic rate in differential form Eq. (11) and after integration Eq. (12) is obtained:

$$ \frac{{{\text{d}}q_{\text{t}} }}{{{\text{d}}t}} = k_{ 1} (q_{\text{e}} - q_{\text{t}} ) $$
(11)
$$ \ln (q_{\text{e}} - q{}_{\text{t}}) = - k_{1} t + \ln q_{\text{e}} $$
(12)

Pesudo-second-order kinetic model

In this model (Ho et al. 1996), the kinetic rate in differential form and it is analytical solution can be expressed as

$$ \frac{{{\text{d}}q_{\text{t}} }}{{{\text{d}}t}} = k_{2} (q_{\text{e}} - q_{\text{t}} )^{2} $$
(13)
$$ \frac{t}{{q_{\text{t}} }} = \frac{1}{{k_{2} q_{\text{e}}^{2} }} + \frac{t}{{q_{\text{e}} }} $$
(14)

To estimate the adsorption rate constant of cadmium and copper, the first-order model was used. The rate constant (k 1) for cadmium and copper adsorption onto NJ zeolite were 0.5145, 0.325, respectively. Meanwhile the second-order reaction rate constant (k 2) for cadmium and copper adsorption onto NJ zeolite were 2.32145, 1.716, respectively.

The time dependency of removal rate of cadmium and copper on NJ zeolite are shown in Fig. 6. The kinetic rate study of cadmium and copper on NJ zeolite was carried out with different time, at room temperature 22° C, constant metal concentration 250 mg/L, 80 g of NJ zeolite and pH 6. The value of the first and second reaction rate constant (k 1, k 2) obtained from sorption kinetic models are used to correlate experimental data on NJ zeolite. It can be noted that the second reaction constant has higher value for the sorption kinetic of cadmium and copper on NJ zeolite. It is clear from values of second-order constant that cadmium and copper sorption onto the NJ zeolite follows the second-order model. Thus, rate of sorption according to the second-order model for cadmium and copper are faster than first-order model. For example, the cadmium uptake capacities were completed within 10 min. Meanwhile, the copper uptake capacity completed within 20 min. Figure 6 shows that cadmium metal has higher uptake capacity than copper. As a result of sorption kinetic, the second-order model can demonstrate the sorption process and very well correlated with the experimental results. Therefore, the second-order equation is valuable for the kinetic sorption studied in this work.

Fig. 6
figure 6

Sorption kinetic experimental data of cadmium and copper on NJ zeolite compared with first- and second-order model at the same condition

Conclusion

The adsorption capacity of cadmium and copper using NJ zeolite has been experimentally investigated. It was concluded that metal bulk concentration, adsorption time and mass of adsorbent, are an important factors that affect the adsorption process. These parameters had a considerable trace on the uptake of cadmium and copper metal using NJ zeolite. A widely used isotherm and kinetic models to present study to estimate the equation parameters were employed.

The Freundlich and Langmuir isotherms models are used to describe the experimental adsorption results meanwhile the pseudo-first- and second-order kinetics model are used for kinetic rate elaboration. It was set that the Freundlich empirical is well demonstrated and fitting the experimental results. The metal ion uptake capacities for cadmium and copper were 25.9 and 14.3 mg/g, respectively. The calculated adsorption intensity parameter correlated to Langmuir isotherm model for cadmium and copper are 9.5 and 7.36, respectively. Cadmium and copper adsorption from aqueous solution using NJ zeolite was well demonstrated with the second-order kinetic model. The experimental adsorption data were better adequate to the second-order model than to the first-order model. As a result of this study, the NJ zeolite for the removal of cadmium and copper using a batch adsorption technique has inherent advantages.