JEAS  Vol.8 No.4 , December 2018
Summary on Adsorption and Photocatalysis for Pollutant Remediation: Mini Review
ABSTRACT
Adsorption and photo catalysis are the most popular methods applied for the reduction of amount of pollutants that enter water bodies. The main challenge in the process of adsorption is the demonstration of the experimental data obtained from sorption processes. For many decades most of the researchers used adsorption and kinetic of adsorption as a repetitive work to describe the adsorption data by using common models such as, Langmuir and Freundlich for adsorption isotherms; PFO and PSO models for kinetics. This has been done without careful evaluation of the characteristics of adsorption process. It has been well understood that adsorption does not degrade the pollutant to eco-friendly products and photo catalysis will not degrade without adsorption of the pollutant on the catalyst. Therefore, understanding the detailed mechanism of adsorption, as well as, photo catalysis has been presented in this paper. During photo catalysis: modification towards suppression of electron-hole recombination, improving visible light response, preventing agglomeration, controlling the shape, size, morphology, etc. are the most important steps. This mini review also widely discusses the key points behind adsorption and photo catalysis.

1. Introduction

Organic compound and heavy metal pollution presents an important global environmental problem due to its toxic effects that may accumulate in the food chain [1] . These pollutants are found dissolved in water and wastewater in various concentrations. Dyes are identified to be one of the heavy pollutants of water bodies, due to the use of large amount of colorings required in clothing, paper products, paints and plastics. Potential hazards brought by heavy metals and several anions in drinking water have raised the concern among the public. Consumption of metal ions and anions usually causes chronic effects, thus humans can suffer from long term exposure to such contaminants without realizing it [2] .

Several physical and chemical methods were used to remove dyes and heavy metals from polluted water such as: photo catalysis, coagulation flocculation, adsorption, etc. Among all these methods, adsorption and photo catalysis have been suggested as cheaper and more effective than chemical or physical techniques. These are preferred over other methods because of their relatively simple design, operation, cost effectiveness and energy efficiency [3] . Both methods give crowned achievement towards elimination of organic and inorganic contaminants in addition to the advantages of generating effluents with high quality as well as their simple design. Also the importance of those for water and wastewater treatment is growing in view of the presence of emerging contaminants, such as pharmaceuticals and personal care products (PPCPs), in water bodies.

Several materials were successfully used in processes of discoloration of water pollutants such as clays, composites clay-alginate, polydopamine microspheres, chitosan, activated carbon, metal oxides, etc. [4] . The basic classes of adsorbents include activated carbon, metal oxides, carbon nanotubes, zeolite, clay, mesoporous silica, polymeric resin and metal-organic frameworks, etc. Among those materials modified metal oxides were found to receive wider attention.

In order to reduce the drawbacks behind bare metal oxides during photocatalytic process (such as: fast electron-hole recombination, agglomeration and lack of visible light absorption) [5] , different methods, such as: Doping, noble metal deposition, dye sensitization, integrating with equivalent bandgap materials, modification with carbon nanostructures, hydrogenated metal oxides were used. Among those methods researchers choose coupling of two/more semiconductors metal oxides having related band gaps such as: TiO2/ZnO [6] , SnO2/ZnO [7] , SnO2/ZnO/TiO2 [8] , and different including: ZnO/γ-Mn2O3 [9] , Mn3O4-ZnO [10] , ZnO-MnO2-Cu2O [11] , ZnO/CdS/Ag2S [12] , Ag3PO4/ZnFe2O4/ZnO [13] , Co3O4/ZnO [14] , ZnO/ZnFe2O4 [15] [16] , ZnO/Fe2O3 & TiO2/Fe2O3 [17] for preventing the electron-hole recombination and inducing visible light. In addition to this, coupling of bare metal oxide with its doped complements (e.g.: N-ZnO coupled ZnO) enhances the charge carrier separation, free radical generation and visible light response [18] [19] . However, those modifications are still insufficient towards the satisfactory utilization of solar spectrum, for adequate and complete absorption of visible light, black colored metal oxides synthesized by different techniques (such as: hydrogen-argon (or nitrogen) treatment, plasma enhanced chemical vapor deposition, reduction method assisted by the metals (Al, Zn and Mg), electrochemical reduction and anodizing-annealing treatment) are the future approaches towards photacatalysis [20] .

Among different synthesis methods used to synthesize heterojunction metal oxides, the solution-based approach is the simplest, least energy consuming and easy to control the morphology and sizes of the nanomaterials by controlling the different experimental factors [21] . Approaches used in the synthesis of modified metal oxides includes: impregnation method [22] [23] , hydrothermal [24] , sol-gel [17] [25] , Sono-coprecipitation [26] , solvothermal [27] , Ultrasonic-microwave [28] , etc. As suggested by Osman and Akbulut [29] among these methods, the sol-gel procedure is the most attractive method. Current research has modifying the existing sol-gel procedure by using only water as solvent [25] , suggesting that the improved sol-gel method yields a good quality of nanostructure materials with organic solvent free (green synthesis) and lower production cost [30] . In addition studying factors affecting adsorption and photo-degradation such as: catalyst/dosage loading, solution pH, light intensity, light wavelength, temperature [31] and inorganic species (H2O2 [32] , S 2 O 8 2 [33] , BrO 3 [34] , SO 3 [32] ) should also be taken in to consideration.

This review also wisely discuss and summarizes the detailed mechanism of adsorption and photocatalysis, adsorption isotherms and kinetics, the linear and nonlinear fitness of adsorption, error function, modification of bare metal oxides (minimizing e/h+ recombination and tuning to the visible light response) towards efficient photacatalysis and conditions/parameters optimization and different analytical techniques.

2. Adsorption

Adsorption study comprises of two main aspects; Equilibrium and Kinetic studies. An adsorption isotherm assists to know the adsorption mechanism pathways and the rate of adsorptive uptake which is dependent on the adsorption mechanism. The basis for kinetics study is the kinetic isotherm, which is obtained experimentally by following the adsorbed amount against time. Kinetic investigations develop a model to describe the adsorption rate. Ideally, the model should, with minimal complexity, 1) reveal the rate limiting mechanism and 2) Extrapolate to operating conditions of interest. Accomplishing these two targets should enable one to identify operating conditions with minimal mass transfer resistance and predict adsorbent performance [35] .

Many models of varied complexity have been developed to predict the uptake rate and mechanism of adsorption. Among those PFO and PSO models, most commonly used two models in liquid adsorption for kinetic studies. Langmuir Isotherm and Freundlich isotherms were used for controlling the sorption mechanisms for adsorption isotherms [36] . But most of the past works revealed only the uniqueness of those models after well fittings instead of their limitation and strength on different conditions/parameters to explain the physical or chemical adsorption mechanism between adsorbent and adsorbate. Therefore, this review gives direction to use different models for both sorption kinetics and sorption isotherm studies. The appropriates of linear and nonlinear regressions and as well as additional error functions other than R2 which assists to quantify the error between the model parameters and experimental values were also discussed wisely.

2.1. Mechanisms of Adsorption

Adsorption is a surface phenomenon in which adsorptive (gas or liquid) molecules bind to a solid surface. However, in practice, adsorption is performed as an operation, either in batch or continuous mode, in a column packed with porous sorbents. Under such circumstances, mass transfer effects are inevitable. The three common steps includes: Film diffusion (external diffusion), Pore diffusion [intraparticle diffusion (IPD)] and Surface reaction), but, the seven classical steps involved are: 1) Diffusion of the reactants from the bulk phase (boundary layer) to the external surface of the catalyst pellet (film diffusion or interphase diffusion), 2) Diffusion of the reactant from the pore mouth through the catalyst pores to the immediate vicinity of the internal catalytic surface; the point where the chemical transformation occurs, (pore diffusion or intraparticle diffusion), 3) Adsorption of reactants on the inner catalytic surface, 4) Reaction at specific active sites on the catalyst surface, 5) desorption of the products from the inner surface, 6) Diffusion of the products from the interior of the pellet to the pore mouth at the external surface, and 7) Diffusion of the products from the external pellet surface to the bulk fluid (interphase diffusion), are generally used as the key for explanation (Figure 1) [37] . If external transport is greater than internal transport, rate is governed by particle diffusion. If external transport is less than internal transport, rate is governed by film diffusion and if external transport approximately equal to internal transport, the transport of adsorbate ions to the boundary may not be possible at a significant rate thus, formation of a liquid

Figure 1. Individual steps of a simple, heterogeneous catalytic fluid-solid reaction A1 → A2 carried out on a porous catalyst [41] .

film surrounding the adsorbent particles takes place through the proper concentration gradient [38] . In order to predict the actual slow step involved in the adsorption process, the kinetic data were further analyzed using the Boyd model equation [Bt = −0.4977 − ln(1 − F)].

Where, F Represents the fraction of solute adsorbed at any time, t(h), as calculated by, F = qt/qo. When Bt vs. t(h) plotted and if the linear lines pass through the origin the rate limiting step become particle diffusion if not it governed by external mass transport mechanism [39] [40] , reported the adsorption of 2, 4, 6-trichlorophenol on the prepared activated carbon from Boyd plot and mainly governed by particle diffusion.

During all the above mentioned processes, two main types of interaction, namely, physical and chemical, are possible between adsorbent and adsorbate [42] ; the former is known as physisorption, and the latter is chemisorption. Physisorption is a result of attractive forces between sorbent and adsorbate molecules, whereas chemisorption provides a stronger bond as it involves the transfer or sharing of electrons between adsorbent and adsorbate species. As a guideline, heat of adsorption with magnitude between 5 and 40 kJ/mol indicates physisorption as the dominant adsorption mode, while the other between 40 and 125 kJ/mol indicates chemisorption [43] .

2.2. Type of Adsorption Isotherm

There are six different types of adsorption isotherms as shown in Figure 2. Type one (I) adsorption isotherm is for very small pores or microporous adsorbents. In this case adsorption occurs by filling of the micropores. The adsorbate adsorption rate depends on the available micropore volume instead total interior surface area. Type two (II) and type four (IV) adsorption isotherms were detected for non-porous or macroporous adsorbents with unlimited monolayer-multilayer adsorption. First the adsorption volume quickly increases at low relative pressures due to contact of the adsorbate molecules with the higher energetic section followed by the interaction with less energetic section.

When the monolayer formation of the adsorbed molecules is complete, multilayer formation starts to take place corresponding to the “sharp knee” of the isotherms. As the relative pressure approaches unity a sudden rise shows the bulk condensation of adsorbate gas to liquid. Finally, type three (III) and type four (V) isotherms do not have the “sharp knee” shape indicating that a stronger adsorbate-adsorbate interactions than adsorbate-adsorbent interaction.

2.3. Adsorption Equilibrium

Adsorption equilibrium information is the most important piece of information needed for a proper understanding of an adsorption process. A proper understanding and interpretation of adsorption isotherms is critical for the overall improvement of adsorption mechanism pathways and effective design of adsorption system. But most of the studies apply only Langmuir and Freundlich

Figure 2. IUPAC classification of adsorption isotherms (typical BET range is indicated in Types II and IV by the shaded areas) na is quantity of absorbed gas, p/po is the relative pressure [44] .

models and depending on coefficient of determination (R2) values the mechanism of adsorption judged by declaring the process as physical, chemical or both. Since most those models fits well with different experimental data, confirming with other models to know whether those models are perfect or not become the most important requirement. The selective mini review is presented in the Table 1.

As an example [45] (2012) a researcher applied Langmuir, Freundlich, Temkin and Dubinin-radushkevich isotherms studies of equilibrium sorption of Zn2+ onto phosphoric acid modified rice husk. Among those four adsorption isotherm models, the R2 value of Langmuir isotherm model was the highest and the heat of sorption process was estimated from Temkin isotherm model to be 25.34 J/mol and the mean free energy was estimated from DR-K isotherm model to be 0.7 KJ/mol which vividly proved that the adsorption experiment followed a physical process. On this studies the well-fitting of Langmuir isotherm model were confirmed by Temkin and DRK. Different models and their uses as well as the linear and nonlinear sorption isotherms equations are presented in Table 2. During adsorption study to understand the machoism of adsorption it is advisable to apply at list adsorption isotherm models present in bold red in Table 2 and Table 3 for kinetics of adsorption. Common nomenclatures of equations are given at the end above the references.

2.4. Adsorption Kinetics

Kinetics of adsorption using the statistical least squares method, several adsorption studies fit the PFO and PSO models. Therefore, without applying any work used to reduce/eliminate the diffusion-adsorption mechanism (transport influences; like intra particle diffusion), deciding the mechanism of adsorption only depending on adsorption-reaction models become wrong interpretation of mechanism of kinetics of adsorption. Generally suggested by earlier research group, [35] PFO and PSO is not a model of defined mechanism but, rather, they are a

Table 1. Selective mini review.

Table 2. Models of adsorption isotherms [46] .

highly flexible formula that combines many different models with different controlling mechanisms. The rate constants obtained was the result of complex interaction between different controlling mechanisms which are simply empirical

Table 3. Adsorption models of Kinetics [35] .

constants without physicochemical meaning and provide little insights into adsorption mechanisms and no meaningful mechanism can be confidently postulated from these models. In addition to the mechanism of reaction, it is necessary to calculate important sorption parameters like adsorption activation energy with the help of Arrhenius equation D s = D s o exp ( E a / R T ) [61] . The linear and nonlinear formula of sorption kinetics and their use are indicated in Table 3.

2.5. The Nonlinear and Linear Fitness of Adsorption

The nonlinear and linear models were used to define the kinetics curves. Their validities can be determined using coefficient of determination (R2) and standard deviation (SD) Δq (%) [78] . In most of sorption studies the linearized form of PFO, PSO and other relevant models are determined based on the correlation of determination (R2) value, and the obtained model parameters are cross-checked with the experimental values. But, the linearized forms of the PFO and PSO model provide sometimes-widely different parameter values. Nonlinear regression is recommended to avoid this problem, and it has been shown to be better than linear regression. It gives more realistic values of qe and k, and most of the times a R2 value. But, Regardless of its popularity it does not penetrate deep into the community.

Most linear regression creates discrimination on PFO than PSO based on R2 values decision. Some studies qualified to PSO by linear regression, surprisingly fits PFO by nonlinear regression [79] . In addition, PFO is prone to experimental error, whereas PSO is less sensitive to experimental error, but the nonlinear regression evaluates both PFO and PSO equally towards experimental error. Therefore comparison of the linear and nonlinear models in terms of fit quality and reasonability of the determined parameters before deciding on the best model becomes the most acceptable procedure to reduce statistical discrimination bias [80] .

Linear regression is a method used to model the association among a scalar dependent variable and one independent variable. The well-fitting line is the line that reduces the sum of the squared errors (SSE) of prediction. The strength of the linear association between two variables is quantified by the square of the correlation coefficient (R) which is known as the determination of the coefficient (R2). The higher R2 value (lower values of error functions) indicates a stronger linear relationship.

Nonlinear regression can be a dominant substitute to linear regression because it suggests the most flexible curve fitting functionality. For nonlinear model, sum of square must be minimized by an iterative method. The nonlinear regression line is the line that minimizes the sum of squared deviations of prediction (also called the sum of squares error). The standard error of the estimate (S) is the square root of the average squared deviation. This parameter measures the accuracy of predictions. The smaller the standard error of the estimate indicates the more accurate prediction. In nonlinear regression, good of fitness method is used after error analysis.

2.6. Error Functions

Error functions (Table 4) are statistics that measure the error between the model parameters and experimental values. It was a standard method developed based on the least squares criterion. Model parameters are captured well by the slope and intercept, both of which are clearly defined as functions of the experimental data. The fitted parameters are set by regression to minimize the sum-of-squares errors between the predicted and experimental values.

In the literature, these error statistics were calculated in addition to the correlation of determination (R2) to confirm and support the model already discriminated by R2. High R2 values correspond to low error statistics in most cases. When R2 values are too near to discriminate the PFO and PSO models, RMSE comes in convenient [81] . Roughly well-known error functions are listed in table. When its value is nearer to unity indicates a well fit.

Table 4. Error function.

The past study [78] compared the linear and nonlinear equations of pseudo-first order and pseudo-second order kinetic models on adsorption of Cd (II) onto chitosan and methyl orange onto bentonite. For validation standard deviation (SD) Dq (%) and the coefficient of determination R2 values was used. The conclusion was that the nonlinear models are more appropriate than linear forms for the modeling of the kinetics of adsorption in liquid phase and it is noted that the determination of R2 alone is inadequate to decide. Therefore, using the error functions like standard deviation Δq (%) in addition to R2 value is supportive.

3. Photocatalysis

Numerous water treatment techniques such as, adsorption, membrane separation, coagulation, etc., have been engaged using nano materials (having unique electronic, optical, magnetic and mechanical properties) to remove pollutants. Nevertheless, these techniques only focus on changing the pollutants from aqueous solution to solid phase [86] . For this reason, advanced oxidation processes (AOPs) should be used to degrade organic pollutants after adsorption on the catalyst.

From promising photocatalyst or adsorbent, nowadays, metal oxide nanomaterials, such as zinc oxide (ZnO), titanium dioxide (TiO2), aluminium oxide (Al2O3), iron (III) oxide (Fe2O3), copper oxide (CuO), zirconia (ZrO2), vanadium(V) oxide (V2O5), niobium pentoxide (Nb2O5) and tungsten trioxide (WO3) have been actively useful in environmental wastewater management scheme [87] . Among these, ZnO is an environmentally safe metal oxide and has non-toxic nature with existing organisms.

Similar to TiO2, ZnO is an n-type metal oxide but has not been well studied in earlier studies. It has been proposed as another photocatalyst similar to TiO2 as it possess same band gap energy (3.2 eV) but gives higher absorption efficacy across a large fraction of the solar spectrum (large free-exciton binding energy) [88] . It is also inexpensive (75% lower production cost) relative to TiO2 [89] . The main drawbacks of ZnO are, its dissolution at acidic pH, corrosion in alkaline pH, fast recombination of photogenerated charges and lack of visible light absorption [5] .

3.1. Recombination and Visible Light Response

In the past substantial efforts such as: doping with impurities/dopant [90] , formation of nanocomposites [91] , surface modification, dye sensitization [92] , noble metal deposition [93] , non-noble metal deposition [94] , sensitizing with narrow bandgap absorption materials (Eg < 3.0 eV; like: CdS, ZnS, etc.), organic dyes, conducting polymers and inorganic metal complexes [95] and hydrogenation procedure (annealing under hydrogen atmosphere) are studied for allowing visible light absorption of high band gap metal oxides (such as: TiO2, ZnO, …). The hetro-junction of those high band gap metal oxides with other low band gap materials get attention due to not only induces visible light sensitization for the composite but also for it enabling the oxidation and reduction reactions to arise at different components. But those methods are also not well-organized enough to induce enough visible light absorption. The combination of these hetro-junction leading to multiple alterations (such as: simultaneous doping-sensitization, doping-deposition, deposition-coupling, etc.) are also are become the alternative towards improvement of visible light absorption [96] . Also functionalizing of the metal oxide surface [using the bifunctional linking or with citric acid molecule] enables the connection of larger amount of low band gap semiconductor materials [8] .

In order to decrease the recombination of photogenerated electron-hole pairs (charge carrier separation enhancement), structural stability and for isolation of the redox sites at various modification methods (such as: integrating with equivalent bandgap materials, designing with exposed reactive facets, modification with carbon nanostructures and hierarchical morphologies coupling two semiconductors) have been through. Among those methods researchers choose coupling of two/more semiconductors metal oxides having related or different band gaps (TiO2/ZnO, SnO2/ZnO, SnO2/ZnO/TiO2 and Co3O4/ZnO) [6] [7] [14] [97] , due to continuous transfer of photo-generated electrons and holes from one semiconductor to another [98] [99] .

For the reason that, the nanocomposite improves light absorption effectiveness, prevention of photo corrosion, increases sun light absorption, new functionalities get up at the interfacial, change in surface acid-base behavior and better suppression of electron hole recombination [100] . Specially, the tricomposites are more energetic towards suppression of electron hole recombination, because, unidirectional charge transfer (interelectron transfer) within the stepwise electronic band structure between the catalyst [97] . On the other studies coupling of bare metal oxide with its doped counterparts (example: N-ZnO coupled ZnO) enhanced the charge carrier separation, free radical generation and visible light response [18] [19] . Explanation of different ways used to increase the visible light response, structural stability, altering the defect chemistry with improved charge carrier separation procedures are shown in Figure 3.

3.2. Parameter Optimization

In addition to the electron-hole recombination and visible light response, deep awareness on factors affecting photo-degradation, as well as, adsorption effectiveness, such as: catalyst/dosage loading (which controls light scattering, screening effects, turbidity and agglomeration) [101] [102] , catalyst structure (surface area) [103] , solution pH(surface charge, positions of VB and CB) [104] , light intensity [105] , light wavelength (around 254 nm) [106] , temperature (20˚C - 80˚C) [107] , inorganic species (H2O2 [108] , S 2 O 8 2 [33] , BrO 3 [34] , SO 3 [32] ) should also be taken in to consideration.

3.3. Synthesis Methods

Among different metal oxide nanomaterial synthesis methods, the solution-based approach is the simplest, least energy consuming and easy to control the morphology, as well as, sizes of the nanomaterials by handling the experimental factors such as type of solvents with different dielectric constant, starting materials (precursor) concentration, reaction solution pH, mineral acids, etc. [21] [109] . The chemical approach normally involves reduction of metal ions into metal atoms in the existence of stabilizing agents, followed by the controlled aggregation of atoms. Those approaches used in the synthesis of modified metal oxides includes:

Figure 3. Universal approaches to tailor the surface-bulk electronic structure of semiconducting photo catalysts for improving the visible light response, structural stability, altering the defect chemistry with improved charge carrier separation processes [96] .

impregnation method [22] , hydrothermal [24] , sol-gel [110] , co-precipitation, flame spray pyrolysis, micro-emulsion, electrochemical deposition process, solvothermal, microwave, polyol, flux methods, electrospinning, solid state dispersion method etc. [111] [112] .

Among these approaches, the sol-gel procedure is the most attractive method towards low production cost, good, high reliability, repeatability, simplicity of the process, low process temperature, ease of control of physical characteristics & morphology of nanoparticles, good compositional homogeneity and optical properties [29] . In addition to advance the photoactivity, various methods such as: controlling adding rate of precursors (example: sodium hydroxide), adding of selective capping agents, have been used to adjust the chemical properties of the materials, elemental composition, shape, morphology, size and growth of the nanostructure materials [113] . As an example among different shapes of ZnO nanostructures, spherical nanostructures were reported to exhibit the highest degradation rate of organic pollutants ascribed to their large oxygen vacancies. Not controlling those different parameters/conditions the toxicity of the reagent added must be taken in to consideration. In this context, ongoing research has modified the existing sol-gel technique by using only water as solvent [114] . Due to the existence of M-O-M bonds in metal oxides nanoparticles, agglomeration occurs readily [115] . This agglomeration of nanomaterials to each other strongly limits the adsorption, as well as, photo catalysis of nanoparticle. Among different agglomeration inhibition methods such as, chemical treatment [116] coating [115] , grafting polymerization [117] , ligand exchange [115] and self-assembly [118] ) techniques, ligand exchange are the one which is nicely acknowledged.

3.4. Mechanism, Electronic Arrangement and e/h+ Separation of Composites

Photo-catalysis defined as “catalysis driven acceleration of a light-induced reaction”, the detailed scheme of semiconductor photo-catalyst reaction was summarized in Figure 4(a). First before degradation starts the organic pollutants should diffuse and adsorbed on the external surface of catalyst/semiconductor. Therefore, selection/modification of the adsorbent for specific adsorbate become the key point, because, without adsorption no degradation takes palaces. After adsorption when ultraviolet/visible light energy (hυ) (equal or greater than the excitation energy/band gap) interacts with catalyst/semiconductor, as a result of excitation of electron (e) from valance band (VB) to conduction band (CB) the production of e/h+ pairs occurs. Migration of those e/h+ pair on the surface of the catalyst and interacting with other species, like, water or oxygen redox reaction will takes palaces. On oxidation reaction H2O ( OH ) reacts with catalyst holes ( h VB + ) results in formation of hydroxyl radicals ( OH ). And on reduction reaction the exited electrons reacts with oxygen from the air for the formation of superoxide radicals ( O 2 ). The superoxide radicals will further protonated to harvest hydro-peroxyl radical ( HOO ) and subsequently hydrogen peroxide

Figure 4. (a) Photocatalysis mechanism and (b) electronic arrangement (c) p-n and n-n heterojunction (d) e/h+ separation through band gap engineering of semiconductors.

(H2O2) and hydroxyl radicals ( OH ). The resulting powerful oxidizing agents ( OH ) leads to partial or complete mineralization (CO2, H2O and mineral acids) of organics pollutants adsorbed on the surface of the semiconductor [119] .

Depending on the CB and VB potentials and bandgap energies the electronic arrangement of the semiconductor heterojunctions are categorized into (a) straddling gap (b) staggered gap and (c) broke gap heterojunctions as shown in Figure 4(b). In Figure 4(bi) (straddling gap type) the e/h+ collected and recombine on shorter band gap semiconductor. Therefore, weakening of the photo catalysis efficiency [120] . In Figure 4(bii) (staggered band structure) e-moves to the low negative CB semiconductor and h+ transfer to less positive VB of large band gap semiconductor. Here the probability of e/h+ separation becomes high then the photocatalysis improved [121] . In Figure 4(biii) (broken gap heterojunction) due to great variance in the positions of the VB and CB levels, provides higher motive energy to transfer the photo induced charge carriers. Thus, only the staggered gap most typical heterojunction system for photo catalysis purposes [122] and selecting well-matched energy band configuration, less lattice inconformity, and fitting conductivity to be combined with ZnO has a key for higher photocatalytic activity [31] . To accept e from ZnO using semiconductor with positive CB than ZnO becomes essential.

The heterojunction composed of an n-type semiconductor as a donor and a p-type semiconductor as an acceptor is so-called p-n heterojunction. As shown in (Figure 4(ci)) the fermi level (FL) is positioned near the VB in p-type semiconductors place holes constitute major carriers. Moreover in the n-type, the FL is closer to CB and the concentration of electrons is higher than holes as carriers [123] . Hence, once they come into contact with each other, the FL of p-type shifts to higher and n-type to lower energies until attainment equilibrium level. Consequently, a depletion layer is formed at the interfacial distinct that produces an electric field [124] . The resulted electric field from the induction of negative and positive charges on the p- and n-sides will diffuse the photogenerated electrons and holes out of the depletion layer [125] .

Similarly, n-n heterojunctions (Figure 4(cii)) has been introduced as another slant engaged visible-light-driven (VLD) nice enactment photocatalysts. Like that of p-n type n-n system the fermi levels of both semiconductors should be equilibrium to make a steady and electrostatically balanced system. Subsequently, a depletion layer is created which helps for exploiting visible light and inhibiting the recombination of the photoinduced e/h+ pairs [126] [127] .

Apart from the binary nanocomposites, recently combination of large band gap materials with various semiconductors to develop ternary or multi-component heterostructures resulted in great improvement in photocatalytic performance of photocatalysts under visible-light/solar irradiation. As indicated the studied ZnO based ternary composites are grouped into four classes, based on: 1) band gap engineering, 2) plasmonic, 3) p-n-n and n-n-n heterojunctions, and 4) magnetic properties.

According to band gap engineering the difference between the energy (CB) of the joint semiconductors forces a rapid transfer of the photoexcited electrons from one semiconductor to other, thus accelerating the separation of e/h+ pairs and enhancing the photocatalytic efficacy. The enhancement photocatalytic efficacy was confirmed by Chen et al. [12] on ZnO/CdS/Ag2S and Li et al. [13] on Ag3PO4/ZnFe2O4/ZnO ternary nanocomposites. The schematic representations for separation of the charge carriers in ZnO/CdS/Ag2S and Ag3PO4/ZnFe2O4/ZnO nanocomposites are shown in (Figure 4(d)).

The synergistic effects of the internal electric fields formed in the n-n-n or p-n-n heterojunctions between constituents of the ternary nanocomposites are more efficient than the binary n-n or p-n heterojunctions for substantially enhanced separation of the photogenerated e/h+ pairs and further prolonging lifetime of the charge carriers. Thus, the enhanced photocatalytic performances for the photocatalysts with n-n-n or p-n-n heterojunctions are much more than those of the photocatalysts with n-n or p-n heterojunctions [31] .

Now a days since recovering of the engaged photocatalysts from the solution is practically reduce cost and avoids the secondary contamination, especially on large-scale applications, magnetically separable photocatalysts are promising materials. In sight of this, a number of researchers have been investigated Fe3O4, owing to its outstanding magnetic properties, being environmentally kind and not expensive. Some of ternary composites investigated based on ZnO and Fe3O4 includes: ZnO/Ag2O/Fe3O4 [128] , ZnO/Ag3VO4/Fe3O4 [129] , Fe3O4@AgBr/ZnO [130] , Fe3O4/ZnO/CoWO4 [131] , Fe3O4@ZnO/AgCl [132] , ZnO/AgI/Fe3O4 [133] , and Fe3O4/ZnO/NiWO4 [134] .

4. Characterization Techniques

Different characterization techniques have been practiced for the analysis of various physicochemical properties of nanomaterials. Among many characterization techniques, the following are the most important techniques that should be conducted during analysis: 1) Morphological characterizations such as: polarized optical microscopy (POM), transmission electron microscopy (SEM), transmission electron microscopy (TEM), 2) Structural characterizations such as: X-ray diffraction (XRD) [109] , energy dispersive X-ray (EDX), X-ray photoelectron spectroscopy (XPS) (surface composition, chemical states, elemental ratio and exact bonding nature), Fourier-transform infrared (FT-IR) Raman, Brunauer-Emmett-Teller (BET) (used for surface area determination) [135] , 3) Particle size and surface area characterization such as: SEM, TEM, Dynamic light scattering (DLS), XRD, Atomic force microscopy (AFM) [136] , DCS [137] , iv. Optical characterizations such as: UV/vis-diffuse reflectance spectrometer (DRS) (for the purpose of absorption, transmittance and reflectance), Photoluminescence (PL) [138] .

Finally, beside many industrial and medical applications of those different modified, as well as, un modified nano structured materials, there are certain toxicities which are allied with nanomaterials [139] . Owing to their small size, they can inter easily into the circulatory and lymphatic systems and ultimately to body tissues and organs. Depending on their composition and size, they can harvest irreversible injury to cells by oxidative stress and organelle damage. Nevertheless, the toxicity of nanoparticles depends on various factors, including: size, aggregation, composition, crystallinity, surface functionalization, etc. In addition, their toxicity also determined by the individual’s genetic complement, which provides the biochemical toolbox by which it can adapt to and fight toxic substances. The potential adverse health effects associated with inhalation, ingestion and contact with nanoparticles includes: asthma, bronchitis, emphysema, lung cancer, Parkinson’s, Alzheimer’s, Crohn’s, colon cancer, arrhythmia, heart diseases, systemic lupus erythematosus, scleroderma and rheumatoid arthritis. Therefore, basic knowledge and researches is required for these toxic effects to encounter them properly [140] .

5. Conclusion and Future Perspectives

Before applying the adsorption and photcatalysis techniques for water/wastewater treatment, appropriate understanding on their working mechanisms is essential. Mostly since the Langmuir and Freundlich models fit well with different experimental data, extracting final interpretation depending on only those models became erroneous. In addition, numbers of theoretical explanations have been proposed for PFO and PSO models. However, effective fitting of these models alone is no assurance to predict whether the mechanism of reaction is under control of physical adsorption or chemisorption, as well as, either adsorption-reaction or adsorption-diffusion mechanism. Therefore, applying both adsorption-reaction and adsorption-diffusion mechanism is the key on kinetics of adsorption. In addition, both linear and non-liner fitness of the adsorption data should be conducted. On photocatalysis, progress has been done only with simple semiconductors, which is insufficient because of high electron-hole recombination and poor visible light absorption ability. Therefore, modification concerning electron-hole recombination and visible light response got effectiveness on degradation of pollutants. Finally, optimization of different parameters/reaction conditions also ought to be taken into consideration.

Acknowledgements

Authors acknowledge Adama Science and Technology University (ASTU) for offering financial support.

Cite this paper
Abebe, B. , Murthy, H. and Amare, E. (2018) Summary on Adsorption and Photocatalysis for Pollutant Remediation: Mini Review. Journal of Encapsulation and Adsorption Sciences, 8, 225-255. doi: 10.4236/jeas.2018.84012.
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