Performance of various substituted perovskites.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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Balasubramaniam, Sathiyaraj Thambiayya, Kuru Ratnavelu and JinRong Wang",coverURL:"https://cdn.intechopen.com/books/images_new/10972.jpg",editedByType:"Edited by",editors:[{id:"252215",title:"Dr.",name:"P.",surname:"Balasubramaniam",slug:"p.-balasubramaniam",fullName:"P. Balasubramaniam"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],publishedBooksByAuthor:[{type:"book",id:"1921",title:"Real-Time Systems, Architecture, Scheduling, and Application",subtitle:null,isOpenForSubmission:!1,hash:"fc7f3342a83639921cd5f4164d6a0992",slug:"real-time-systems-architecture-scheduling-and-application",bookSignature:"Seyed Morteza Babamir",coverURL:"https://cdn.intechopen.com/books/images_new/1921.jpg",editedByType:"Edited by",editors:[{id:"110365",title:"Dr.",name:"Seyed Morteza",surname:"Babamir",slug:"seyed-morteza-babamir",fullName:"Seyed Morteza Babamir"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},onlineFirst:{chapter:{type:"chapter",id:"81463",title:"Perovskite-Based Nanomaterials and Nanocomposites for Photocatalytic Decontamination of Water",doi:"10.5772/intechopen.102824",slug:"perovskite-based-nanomaterials-and-nanocomposites-for-photocatalytic-decontamination-of-water",body:'The rapid growing population, urbanisation and industrial development are the major contributors of organic pollutants in water, which have a detrimental impact on the ecosystem, and cause serious problems to the living world and environment. In order to balance the ecosystem and mitigate the huge risk caused by the persistence organic substances, the removal of organic pollutants in wastewater is paramount.
Over the past two decades, solar photocatalysis has been of particular interest for the removal and degradation of organic pollutants in wastewater. In the photocatalytic water decontamination process, the production of electron-hole (e−-h+) pairs via irradiation of the photocatalyst is the key step for the production of reactive oxidation species (ROS, i.e. hydroxyl radicals (•OH)), which is powerful oxidants and can non-selectively attack organic matters, degrading them into smaller elements and finally mineralise them to H2O and CO2 [1]. Under light irradiation of a photocatalyst, photons with energy equal or greater than its band gap (Eg) are absorbed by the catalyst, resulting in the formation of an electron-hole pair. Then the photogenerated conduction band electron (eCB−) and valence band hole (hVB+) could undergo undesired recombination or participate in a series of reactions to produce highly Reactive Oxidation Species (ROS, i.e., hydroxyl radicals (•OH)) that can mineralise any organic molecule in wastewater [2]. The necessity to find photocatalysts with unique photophysical properties that can be used efficiently in the photocatalysis process has been the driving force for the development of variety of material systems to achieve an efficient removal of organic pollutants. Different types of heterogeneous semiconductors, particularly titanium dioxide (TiO2), ternary and other oxide systems, are the most widely studied materials for photocatalytic water decontamination. TiO2, which is well known for its photocatalytic properties, widely used, low-cost n-type semiconductor with (Eg) of 3.2 eV, can be used for water decontamination and water splitting and building self-cleaning facades [3]. However, the major drawback of using TiO2 in practical photocatalytic water decontamination is concerning two important aspects of its photocatalytic properties: (i) TiO2 offers low photoconversion efficiency due to undesired recombination of electrons and holes [4] and (ii) its large band gap, which can be excited only by ultraviolet light (only 4% intensity of solar radiation) [5]. In addition, compared to other advanced oxidation processes (AOPs), such as Fenton based methods; UV/Oxidant methods and electrochemical oxidation methods, which can in-situ generate ROS during water treatment, the quantum yield of TiO2 is low for photocatalytic ROS production, hindering its application in photocatalytic water decontamination [6]. Therefore, exploring novel photocatalysts that have unique photophysical properties, offer high photo-conversion efficiency and with superior photocatalytic activity in water decontamination application is of great importance.
Perovskite-based nanomaterial have attracted huge attentions as a promising photocatalysis nanomaterial for various environmental application due to their unique features such as high chemical and thermal stability; excellent electrical conductivity; and narrow band gap that can offer efficient use of solar energy, compared to other semiconductor photocatalysts. Perovskite-type oxides are complex metal oxides, with the general formula of ABO3, the structure of which is shown in Figure 1. General structure of perovskite oxides represents a lattice that consists of larger A cations and are alkaline rare-earth metals, which are 12 fold coordinated by oxygen atoms, and small B cations that can be a divalent or trivalent transition, within oxygen octahedra. Their high stability under aggressive conditions is attributed to the existence of transition metals in their oxidation states [7, 8]. The structure of perovskites can easily be tuned by adjusting the category and proportion of their chemical compositions, which in turn inherit them diverse and unique physicochemical properties [9]. Perovskite oxides are capable of being activated by broad solar spectra to excite e−-h+ pairs and initiate the production of ROS, which facilitate organic pollutant oxidation and mainly comprise hydroxyl-radical (•OH) and superoxide-anion radical (O2•−) [10]. However, pure perovskites suffer from low photocatalytic efficiency, which is due to small surface area of bulk material, insufficient solar energy consumption, rapid recombination and low redox potential of e−-h+ pairs, which are unfavorable for efficient generation of reactive species [11].
ABO3-type of perovskite structure (reprinted with permission from ref. [
The performance of perovskites in photocatalysis process is generally influenced by their structure; composition; size and shape and synthesis process. Therefore, with the aim of enhancing their photocatalytic efficiency in the degradation of organic pollutants, numerous studies have been carried, using various synthesis methods such as sol-gel method; hydrothermal; solvothermal; sono-chemical; microwave assisted method and co-precipitation method. In order to enhance the photocatalytic performance of perovskite, a number of strategies can be adopted, such as regulating perovskite composition through partial or full cationic substitution by certain dopant(s); rescaling its structure through downsizing or morphology alteration; hybrid modification through coating and coupling with other AOPs. It is worth pointing out that the strategy of coupling with other AOPs is beyond the scope of this chapter, therefore, no further reference will be made. The aforementioned strategies have been proven to improve perovskite’s light absorption; create more active sites on the surface and inhibit e−-h+ pairs recombination. By regulating perovskite composition through hetero-substitution of perovskite by hetero-valent or homo-valent cations in A and/or B site, the redox property of the perovskite is significantly improved and oxygen vacancies are increased, thereby promoting ROS generation [12]. Incorporating dopants into the lattice of perovskite, its inherent band gap can be reduced by shifting the top of its VB upward or CB downward, leading to an extended optical absorption improvement of its photocatalytic activity. Loading perovskite on substrates to obtain a hybrid nanostructure is an effective option for narrowing the band gap and optimisation of electronic structure to inhibit the recombination of e−-h+ pairs. The coating strategy could address the majority of issues related to the efficient photocatalytic activity to some extent, as the coating strategy equip perovskite with an outstanding charge separation ability and strong oxidation ability. Rescaling structure and downsizing and controlling morphology of perovskites can be carried out to improve reactive sites and optimise optical absorption [13]. Smaller particle size can benefit from higher quantum efficiency due to larger accessible of reactive sites and more effective electron transfer paths. However, downsizing these particles to nanoscale increases the surface energy that prompts particles aggregation, hence elimination of the desired reactive sites and significant reduction of photocatalytic performance [14]. Controlled preparation of porous structure has been proven to equip perovskite with better optical absorption ability; increased reactive sites for photocatalytic reaction; as well as enhances the diffusion rate of organic pollutants. However, introducing pores to perovskite nanoparticles can make it physically fragile [15].
Despite intensive research studies that have been carried out on developing variety of nanoscale perovskite-based composites using different strategies, most of which with encouraging results, there is still much to be investigated. A comprehensive understanding of achieving an effective photocatalytic degradation of a wide range of organic pollutants using perovskites is highly crucial for unveiling the fundamental nature of perovskite photocatalysis for large-scale applications. In addition, to meet the requirements of designing efficient, stable and cost-effective perovskite-based composite photocatalyst with an outstanding use of solar energy for actual water remediation, a fundamental study of perovskite photocatalysis using different materials and various environmental pollutants is indispensable.
This chapter provides an overview of the state-of-the-art design and synthesis strategies for perovskite-based nanomaterials and nanocomposites for efficient water remediation. Initially the principles of photocatalysis process are described, with the emphasis on the mechanisms of photocatalytic water decontamination by perovskite and highlighting its inherent challenges. An evaluation of several strategies that have been used to develop perovskite-based nanocomposites for enhanced photocatalytic degradation of organic pollutants in water is presented. Finally, the remaining challenges and perspectives for developing novel perovskite-based photocatalysts with potential large-scale application are elucidated.
In photocatalytic process, perovskite uses photon as a source of energy to initiate chemical reaction. As the photocatalyst is irradiated by light with energy equal or larger than the perovskite band gap, the electrons are excited from the valance band (VB) to the conduction band (CB), as a result photoreactive species such as e− and h+ are created, which can be transferred to the surface of perovskite [16]. The factors affecting the photocatalytic activity of perovskite as a catalyst are namely, the excitement of the electron, separation of the electron and hole and photo-oxidation reduction reaction taking place at the surface of the catalyst [17].
The mechanisms of photocatalytic degradation of organic pollutants consists of several steps: (1) under light irradiation perovskite absorbs photon with an appropriate energy to form photoreactive species like e− and h+; (2) interfacial charge transfer; (3) reduction and oxidation process to form Reactive Oxidation Species; (4) degradation of organic pollutants; and (5) desorption of pollutants/intermediates from the surface of the perovskite. The reaction mechanisms of photocatalytic degradation of pollutants in water are demonstrated by Eqs. (1)–(5) [18].
Under light irradiation of perovskite, when the energy of photon is equal or larger than the perovskite band gap energy, the electrons are excited from the valence band (VB) of perovskite to the conduction band (CB), as a result of which the photoactive species (e− and h+) are formed. The photoexcited electrons would either reunite with holes or transfer to the surface of the perovskite, which can react with O2 to form superoxide anion radical (O2•−), while the photogenerated holes react with water to form hydroxyl radical (•OH) at the surface of the catalyst [19]. The schematic representation of the degradation mechanism is illustrated in Figure 2. In this process, ·OH acts as a powerful oxidising agent that attacks the organic molecules non-selectively.
Schematic representation of photocatalytic degradation of organic pollutants and ROS production by perovskite (reprinted with permission from ref. [
Figure 3 shows the bandgap values, CB and VB positions, of several perovskite photocatalysts. It is apparent that pristine perovskites have the valance band potential energy (Evb) higher than the •OH/OH− redox potential, which allows for the generation of ·OH during the photocatalysis process. Nonetheless, the higher position of CB compared to that of the redox potential of O2/O2•−, hinders the formation of O2•− during the photocatalytic degradation process. Therefore, during the ROS production on perovskite, in order for the electrons to react with O2 and form O2•−, the conduction band potential (Ecb) of perovskite should be more negative than the standard redox potential of O2/O2•− (−0.33 eV vs. NHE). On the other hand, the valance band potential energy (Evb) of perovskite should be higher than standard redox potential of •OH/OH− (+1.99 eV vs. NHE). In such case, the OH− can be oxidised by the photogenerated holes and form •OH, which can attack pollutants to convert them to nontoxic forms or completely degrade them to CO2 and H2O [20].
Band gap values of several perovskite photocatalysts (Adapted with permission from ref. [
The main criteria for a perovskite photocatalyst to be used in the degradation of organic pollutants in water are high capability of being activated by photons; efficiently extracting electrons for photocatalytic reaction; chemically stable; nontoxic; and cost effective. The absorption of photons the following charge generation is dependent on the physiochemical property of the perovskite and recombination.
The efficient use of solar energy still remains a great challenge. An ideal perovskite photocatalyst should have an enhanced and broaden light absorption, and capture a wide spectrum, from ultraviolet to visible light and even the near-infrared region. Therefore, it is necessary to adopt strategies that lead to optimisation of light harvesting, improving e−-h+ separation, and generating sufficient active sites on the perovskite surface for photocatalytic reaction to take place A number of strategies have been reported in the literature, such as cationic substitution, nanostructure perovskite, coating and combined perovskite-based photocatalyst systems, in which perovskite is coupled with other AOP systems. The main aim of these state-of-the-art strategies is to enhance efficient light utilisation, improve charge separation and create richer active sites on the surface of the perovskite. Narrowing band gap is usually the option for the increased light harvesting by capturing more excited photons form a wide spectrum, and consequently enhancing photocatalytic activity [21].
Once the photogenerated charges are generated and successfully migrated to the surface of perovskite, where photocatalytic reactions take place, they can still undergo surface recombination or be trapped by undesirable reactants. In the photocatalytic process the e−-h+ pairs are generated within several femtoseconds (fs) and undergo recombination within picoseconds (ps) to nanoseconds (ns), as depicted in Figure 4. However, the time span from the bulk to reactive sites is usually hundreds of ps, and the reaction time between the carriers and the adsorbed reactants requires nanoseconds (ns) to microseconds (μs) [22]. The lifetime of the photogenerated charges of some perovskites have been reported as BTO: 3.25 ns, STO: 2.06 ns, LFO: 3 ns and LMO: 2 ns, knowing that the reaction time to form O2•− is several nanoseconds [22]. This implies that the relatively short lifetime of the carriers on perovskite limits their application in photocatalytic degradation of organic pollutants.
Different length of time required in photocatalytic process.
In general, photocatalytic degradation takes place on the surface of the perovskite photocatalyst. Therefore, to improve photocatalytic degradation efficiency, a good adsorption of organic pollutants on the surface of perovskite is necessary. Undoubtedly, larger surface area is required to provide higher adsorption capacity towards organic pollutants and richer active sites for photocatalytic degradation reaction. A shorter diffusion pathway of charge carriers is also expected, as it reduces chance of e−-h+ recombination.
Although pure perovskites are potentially better than other oxide photocatalysts, their weak photocatalytic activity hinders their employment in industrial application. Undoubtedly, this is due to their inherent photocatalytic issues such as: (i) small surface area; (ii) insufficient solar energy utilisation; (iii) fast recombination rate of e--h+. To improve carriers’ utilisation, a number of modification strategies have been reported, through which nanomaterials and nanocomposite materials are developed with significantly high photocatalytic performance. Some of these strategies are described in detail in the following sections.
Poor photocatalytic degradation of pristine perovskite under visible light (>400 nm) is mainly attributed to the wide band gap [23], which hiders its potential application in the degradation of organic pollutants. The photocatalytic properties of perovskite can be modified by partial or full cationic sites substitution. The partial or full cationic substitution can narrow the band gap and inhibit the recombination of e−-h+ , which leads to a significant enhancement of their photocatalytic activity. The substitution can be made in A-site, B-site or both sites, the detailed description of each type of substitution is provided in the following sections. It is worth mentioning that a number of factors can affect the substitution such as the types and concentration of dopant atoms, the substitution sites and so on. It is worth mentioning that the substitution of A-site, B-site or both sites in perovskite induces lattice defect and adjusts its optical and redox properties, thereby enhancing the photocatalytic degradation of organic pollutants [24].
However, choosing the right substitute is very important in maintaining the perovskite crystal structure. The stability of A-site substituted perovskite with cubic structure can be defined through Goldschmidt’s tolerance factor
Where
Since the cubic structure of perovskite is stabilised at 0.76 <
Metal elements as substitutes in the ABO3 perovskite lattice [
The performance of various substituted perovskites with different substitution type and dopants used in substituting A-site, B-sites and both sites in the degradation of organic pollutants is highlighted in Table 1.
Pure perovskite | Type | Dopant | Target pollutant | Performance of substituted perovskite | Ref. |
---|---|---|---|---|---|
LaFeO3 | A-site | Eu/Gd/Dy/Nd | Safranine-O (15 mg/L) | 7 times higher degradation rate than that by pure LFO | [99] |
LaFeO3 | A-site | Ti | 4-Cl-phenol (25 mg/L) | Complete removal and highest mineralization rate | [8] |
LaFeO3 | A-site | Li | Methylene blue (78.54 mg/L) | 45.7% removal compared to 35.1% by pure LFO | [32] |
LaFeO3 | A-site | Ca | Methylene blue (10 mg/L) | 77.5% removal compared to 48.9% by pure LFO | [33] |
LaFeO3 | A-site | Bi | 2,4-dichlorophenol (10 mg/L) | 61% removal compared to 28% by pure PLFO | [100] |
LaTiO3 | A-site | Ba/Sr/Ca | Congo red (100 mg/L) | 75.33% degradation compared to 50.8% by pure LTO | [30] |
SrTiO3 | A-site | Eu | RhB (5 mg/L) | 95% removal, 2.6 times higher than that by pure STO | [105] |
SrFeO3 | A-site | Pr/Sm | RhB (5 mg/L) | 86% degradation efficiency compared to 43% by pure SFO | [103] |
LaFeO3 | B-site | Mn | Methyl orange (100 mg/L) | 96.4% removal higher than that by pure LFO | [45] |
LaFeO3 | B-site | Cu | Acidpink 3B (10 mg/L) | 97.4% removal compared to 62.2% by pure LFO | [101] |
SrTiO3 | B-site | V/Mo | Methylene blue (10 mg/L) | 91.5% removal compared to 59.9% by pure STO | [46] |
SrTiO3 | B-site | Bi/Cu | Dibutyl phthalate (10 mg/L) | Higher degradation efficiency compared to pure STO | [48] |
SrTiO3 | B-site | V | Methylene blue (10 mg/L) | Higher degradation efficiency compared to pure STO | [41] |
SrTiO3 | A- & B-sites | La, Fe | Methyl Orange (10 mg/L) | Removal 19 times higher than that by pure STO | [104] |
SrTiO3 | A- & B-sites | La, Cr | RhB (5 mg/L) | Removal 6 times higher than that by pure STO | [102] |
Performance of various substituted perovskites.
Substitution of a metal in A-site can have a direct impact on the structure and stability of perovskite. For example, partial substitution of A′ metal on A-site, having a modified perovskite with the general formula of A1−xAx′BO3, can cause the creation of vacancies in the lattice [28]. Partial substitution of A-site in perovskite is also capable of modifying the valence state of cations in B-site, leading to a better redox property and a higher photocatalytic activity. For example, substitution of La3+ by K+ in A-site of LaCoO3 results in modification of Co3+ into Co4+ in La1–xKxCoO3 [29]. The concentration of dopants or substitutes in partial substitution of A-site is an important factor that can affect the crystal size, band gap and oxygen vacancy content. By incorporating different concentrations of La3+ into the lattice sites of the SrTiO3(STO) host structure, different crystal defects and impurity energy levels can be formed on La-STO, resulting in different band gaps. Higher concentration of La3+ doping results in the decreased particle size of La-STO. However, an excessive concentration of the doping element can act as recombination center for photoinduced pairs and lead to a declined photocatalytic activity.
Various alkaline-earth metallic ions (i.e., Ba, Ca, and Sr) and rare-earth metals (i.e., La, Ce, Eu and Nd) can be used to substitute A-site of perovskite, which can result in narrowing band gap, generation of large amounts of oxygen vacancies and improved photocatalytic efficiency for the degradation of organic pollutants under visible light [30, 31]. Partially substituting La3+ with Li+ via sol-gel method yields a modified perovskite powder (La0.97Li0.03FeO3) with improved photocatalytic degradation towards methyl blue. Since Li+ has lower charge than La3+, the charge neutrality is maintained by forming oxygen defects on the surface of La0.97Li0.03FeO3, which leads to improved photocatalytic activity [32]. Incorporating Ti into A-site of pure LaFeO3(LFO) via solid-solid diffusion results in reduced band gap and enhanced photocatalytic activity of the modified perovskite (La1–xTixFeO3) for the degradation of 4-chlorophenol without iron leaching. Substituting La3+ in pure LaFeO3 (LFO) with an appropriate amount of Ca2+ in LFO can be a feasible strategy to improve photocatalytic degradation of methylene blue under visible light [33]. Due to smaller radius of Ca2+ (0.134 nm) compared with La3+ (0.136 nm), the substitution of Ca2+ affects the crystalline size and the amount of charge-compensating oxygen vacancies in La1−
The B-site element in perovskite plays a more important role than the A-site element in photocatalytic reaction, as the redox reactions generally take place at the B-site element, and it can serve as a photocatalytic active center for most of the perovskites [35]. Doping B-site with divalent or trivalent cations induces the creation of oxygen defects, leading to a relaxation structure of AB1−xB′xO3 with enhanced photocatalytic degradation activity [36]. Substituting Mn into the lattice of SrTiO3 (STO) via hydrothermal method yields a visible-light-responsive photocatalyst, Mn-doped STO (MSTO), having a narrower band gap and higher photocatalytic degradation efficiency towards antibiotic tetracycline [37]. Mn4+ species (0.067 nm) could partially substitute Ti4+ (0.068 nm) into STO lattice and act as impurity energy band to narrow the band gap of STO and suppress the e−-h+ recombination, hence creating sufficient time for photogenerated holes to oxidize water and form ·OH for efficient photocatalytic degradation of tetracycline. Furthermore, substituting the B-site of perovskite by Cr yields advanced photocatalytic materials, in which the Cr3+ donor levels act as intermediate states for photon transition, allowing easier excitation of electrons and holes under visible light [38]. However, the presence of hexavalent Cr(VI) can hinder the photocatalytic activity of the catalyst [39]. Substitution of Fe3+ (0.064 nm) by a larger ionic radius Cu2+ (0.072 nm) in B-site of LFO results in lattice distortion, induced oxygen vacancies generation and suppressed the growth of large crystallite. This implies that a larger specific area with more accessible active sites is available for improved photocatalytic activity.
Substitution of the B-site perovskite with multiple valance cations results in coexistence of various cation states (i.e., Mn3+/Mn4+, Cu+/Cu2+ and V3+/V5+) in perovskites [40, 41]. The presence of high valence ions can trap the photo-generated electrons in the CB, thereby the e−-h+ pairs recombination is suppressed. While the low valence ions may supply electrons to the absorbed O2 on the surface of the catalyst, enhancing interfacial electron transfer and increasing the photocatalytic degradation of organic pollutants in water [42]. Substitution of B-site in LFO lattice by Cu results in LaFe0.85Cu0.15O3 with larger specific area and reduced band gap compared to LFO [43]. Under light irradiation of LaFe0.85Cu0.15O3, the reduction of Fe3+ and Cu2+ can be accelerated and leads to the generation of Fe2+ and Cu+. The presence of the redox couples of Fe2+/Fe3+ and Cu+/Cu2+ plays an important role in the creation of ·OH and other ROS, which degrade organic pollutants [44]. Doping Mn in LFO via stearic acid solution combustion method results in LaFe0.5Mn0.5O3–δ with higher photocatalytic efficiency for methyl orange degradation under sunlight, owing to the coexistence of variable valences of Mn ions such as Mn2+/Mn3+/Mn4+ [45]. The lower valence Mn2+ and Mn3+ provide electrons and reduce O2 to generate more O2•−, while the stable Mn4+ traps electrons and suppresses electron-hole recombination.
Substitution of the B-site perovskite by multiple cations can create a synergistic effect, leading to an enhanced perovskite photocatalytic activity and improved stability. The photocatalytic degradation of methylene blue can be enhanced by co-doping of Mo and V in STO [46]. The Mo and V cations incorporated into the B-site of perovskite can create impurity defects, leading to reduced band gap value and enhanced visible light utilisation. The photocatalytic activity of multiple cations doped perovskite, such as Bi and Cu doped STO, is much higher than a single cation doped perovskite [47]. The highest degradation of dibutyl phthalate can be achieved by STO co-doped with both Bi and Cu in B-stie [48].
Simultaneous substitution of A- and B-sites is a feasible strategy and can increase the photocatalytic efficiency of perovskite. Since the perovskite lattice offers a great flexibility in atomic arrangement, reasonable regulation of both A- and B-sites in perovskite can produce high performance A1–xA′xB1–xB′xO3–δ with improved electronic and photocatalytic properties. In general, the substitution of A-site cation leads to the generation of oxygen vacancies, whereas the substitution of B-site mainly tunes the band structure and brings about the formation of redox couples.
Simultaneous substitution of A- and B-sites of STO by La and Ni, respectively, leads to a larger surface area and new defect bands for highly efficient photocatalytic decomposition of MB compared to La or Ni mono-doped STO [49]. The substitution of both A- and B-sties of LaCoO3 leads to the creation of a modified perovskite photocatalyst La0.5Ba0.5CoxMn1–xO3–δ. The partial substitution of La3+ by Ba2+ in A-site results in improved catalytic activity and structural stability. While the substitution of B-site by Mn can further enhance the photocatalytic reactivity as a result of the formation of Co▬O▬Mn bond, offering accelerated electron transfer between the redox couples of Co2+/Co3+ and Mn3+/Mn4+. Doping perovskites with non-metal ions such as C, P, S, N, F and B is also a feasible strategy to narrow the band gap, which is necessary in enhancing photocatalytic activity of perovskite for water decontamination [50, 51].
Pristine perovskites show relatively weak photogenerated charge separation rate and low surface area. In addition, photo-generated e−-h+ pairs in some narrow-band gap perovskites tend to recombine, which results in considerable energy loss. Therefore, nanoengineered perovskite particles may address the above issues and provide high surface area, full utilisation of solar energy, efficient light absorption and effective e−-h+ separation. However, Perovskite nanoparticles can undergo agglomeration during synthesis, which endows inferior photocatalytic performance. In order to address the particle agglomeration issue and achieve efficient charge separation and good dispersion, coating perovskites on various supports has been proven to be a feasible strategy. In addition, by composing suitable cocatalysts, the photocatalytic reaction can be accelerated through lowering the activation energy. Loading perovskite on supports provides efficient charge migration and better pollutants adsorption capacity, which is crucial for improving photocatalytic activity. The loading amount can easily be tuned by simply changing the coating times and the concentration of the coating solutions. Given an appropriate support loading, abundant active sites are available for charge-transfer reactions, also the photogenerated carriers can be trapped on the supports to suppress e−-h+ recombination. Perovskites can be coated on various supports such as carbon, silica, graphene, zeolites, semiconductor cocatalysts and so on.
Carbonaceous materials have been widely studied and used in many applications, due to their outstanding characteristics such as large surface area, good electronic properties and excellent corrosion resistance. Loading perovskites on Carbon-derived materials can enhance photocatalytic degradation of organic pollutants, as they usually act as electron scavengers, owing to their large electron storage capacity. Composites of perovskite with carbon-based materials such as graphene oxide (GO) and its derivatives (graphitic carbon nitride and carbon aerogel) provide enhanced adsorption capacity towards organic pollutants, along with formed junctions, which hinders the e−h+ recombination.
Perovskite/GO composites have been proven to provide excellent photocatalytic activity in the degradation of organic pollutants. It is worth mentioning that the band-gap of the perovskite/GO composites can easily be tuned by incorporating perovskite with different proportions of GO. LaMnO3/graphene composite has been reported to have a superior visible-light responsive photocatalytic activity in the degradation of diamine green B [52]. The photo-generated electrons migrate from LaMnO3 (LMO) to GO across the heterojunction and temporarily stored on the surface of GO, suppressing electrons and holes recombination. The LMO particles are highly dispersed on the surface of GO, allowing them full exposure to light irradiation and high photon absorption, which improves the photocatalytic quantum efficiency. Compared to pure LMO, the decreased band gap in LMO/GO results in an obvious red shift of 30–40 nm in the light absorption edge, which enhances its photocatalytic activity. GO and STO composite can be prepared by hydrothermal method for efficient degradation of organic pollutants [53]. During heat treatment, GO is decomposed, and followed by the diffusion and dissolution of carbon species, which can penetrate into STO lattice and substitute its interlayer O2− sites, thereby introducing C 2p state within the band gap. Under light irradiation, the photoexcited electrons on STO can easily be transferred to carbon and promote charge separation, resulting in an increased amount of reactive oxidation species for efficient degradation of organic pollutants.
Graphitic carbon nitride (g-C3N4), which is one of the most promising visible-light-driven photocatalysts, is another non-metallic material with unique layered structure and narrow band gap of 2.7–2.8 eV. However, the application of pristine g-C3N4 is limited by the rapid recombination of photoinduced e−h+. This issue can be addressed by adopting strategies to couple g-C3N4 with perovskites, thereby developing catalysts with high photocatalytic properties. LaNiO3/g-C3N4 Z-scheme nanosheet has been prepared, in which 30 wt.% LaNiO3 loading provides intimate attachment of LNO on the surface of g-C3N4, leading to the formation of abundant heterojunctions at the interface that are required for the spatial isolation of photogenerated charge carriers. Under light irradiation of the LaNiO3/g-C3N4 hybrid, the accumulated electrons with stronger reducibility can reduce O2 to yield O2•−. As a result, the LaNiO3/g-C3N4 composite exhibits remarkable photocatalytic activity in the degradation of tetracycline, which is 3.8 times and 3.9 times faster than those of pristine g-C3N4 and LaNiO3, respectively. Loading p-type semiconductor LFO with n-type g-C3N4 nanosheets results in a hybrid p-n heterostructure photocatalyst (LFO/g-C3N4) that exhibits superior photocatalytic activity, compared to pristine g-C3N4 and LFO, in the degradation of Brilliant Blue [54].
Metal oxide is regarded as a promising supporting material for perovskites to achieve higher photocatalytic activity in degradation of organic pollutants. By forming heterojunctions between metal oxides and perovskite, the metal oxides act as co-catalysts, serve as charge collectors to facilitate charge separation and efficiently extend the lifetime of the charge carriers. Metal oxides such as TiO2, ZnO, and CeO2 are abundant in nature and have been widely used as alternative catalysts to precious metals in various chemical reactions [55].
A number of metal oxides, such as ZnO, CeO2, Al2O3, CuO, MnO2 and WO3 have been used in perovskite coating [56, 57, 58, 59]. It can be argued that the most widely used metal oxide to couple with perovskites is TiO2 [60, 61, 62]. The STO/TiO2 nanofiber has been synthesised via hydrothermal method, using TiO2 as both template and reactant [63]. Under UV light irradiation, the photogenerated electrons are transferred from STO to TiO2 due to their close contact, thus improving the interfacial charge migration to the adsorbed substance. The electrons react with dissolved O2 to form O2•− and subsequently protonated to strong oxidizing agents like H2O2, HO2• and ·OH. Reportedly, the incorporation of TiO2 into STO can prolong the lifetime of photoinduced charge carriers. It has been demonstrated that the combination of TiO2 and LaNiO3 can significantly enhance the photocatalytic activity of the modified perovskite in degradation of methyl orange and antibiotic ciprofloxacin under visible light. The LaNiO3/TiO2 step-scheme (S-scheme) can be synthesised via a facial sol-gel method as shown in Figure 6, in which the S-scheme heterojunction is formed between the n-type TiO2 and p-type LaNiO3 due to the potential energy difference of VB in TiO2 and CB in LaNiO3. Exploiting the electric field and band edge bending, the electrons can spontaneously be transferred from TiO2 CB to LaNiO3 across the interfacial region until they reach similar Fermi level. O2 is reduced to O2•− by the accumulative electrons in the CB of LaNiO3 with more negative potential, while the remaining holes in the VB of TiO2 oxidises H2O to ·OH, thereby the photocatalytic activity of the coupled TiO2 and LaNiO3 is significantly promoted. In another study, STO is coated on WO3, in which an efficient Z-scheme heterojunction is obtained [64]. Under visible light irradiation of the modified STO, the electrons in the CB of WO3 tend to recombine with the holes in STO, thus the electrons in the CB of STO and holes in the VB of WO3 can separate and form reactive oxidation species for efficient degradation of pollutants in water.
Schematic representation of LaNiO3 and TiO2 nanocomposite [
Perovskites can be coated on silica-based material for efficient charge separation and enhancement of absorption capacity, thus increasing their potential application in photocatalytic degradation of pollutants in water. Coating perovskites on porous silica can also provide easier transport of large organic molecules and the availability of more active sites, which results in efficient photo-Fenton catalytic degradation [65]. Various clay minerals such as montmorillonite, bentonite, kaolinite, illite and zeolite have been used as supporting materials for perovskites, which provide significant adsorptive capacity for the removal of toxic organic pollutants in aqueous solutions [66]. The porous silica support play two key roles in the degradation process, enhancement of the adsorption capacity via hydrogen bonds formed between the support and organic pollutants, and transportation of adsorbed substance to active sites.
Montmorillonite (MMT), which is one of the most abundant clay minerals and possesses ample ▬OH groups on the surface, has been used as a support for LFO to form a nanocomposite of LFO/MMT for effective removal of Rhodamine B in water. The presence of ▬OH groups on the surface of MMT allows LFO to be uniformly distributed on the surface of montmorillonite via Si▬O▬Fe bonds, which results in LFO/MMT with higher surface area and enhanced photocatalytic activity. LFO/MMT can effectively remove Rhodamine B (RhB) via synergistic effect of adsorption and photocatalytic degradation [67]. Different LFO/silica composites have been prepared and studied using several mesoporous silica materials (SBA-15, SBA-16 and siliceous mesostructured cellular foams (MCF)), along with nano-sized silica powder as supports for photocatalytic degradation of RhB [68]. Compared with other nanocomposites and pure LFO, LFO/MCF demonstrates the highest photocatalytic activity towards RhB. The superior photocatalytic activity of LFO/MCF can be attributed to the randomly distributed pores and short pore length of MCF, which allows easier and faster transportation of RhB to the active sites within the pores of LFO/MCF.
Zeolite, which is a crystalline aluminosilicate material, is another widely used supporting material for perovskites to enhance the photocatalytic degradation of organic pollutants. Using zeolite for loading perovskite can provide an effective nanocomposite with high photocatalytic activity, as its cages and pores enable easier and faster mass transfer of adsorbed substance, it provides abundant active sites for photocatalytic degradation of pollutants and can control the charge transfer process to reduce the e−-h+ recombination [69]. To optimise physicochemical properties of zeolite, such as adsorption capacity, before loading perovskites, approaches such as heating, chemical treatment like acid-modification and metal-modification can be applied [70]. HCl can be used to modify the natural zeolite prior to the LFO loading. The acid treatment approach can remove amorphous impurities and provide zeolite with larger surface area and more available pore volume for easy incorporation of LFO. Loading 30% STO on HZSM-5 zeolite results in STO/HZSM-5 with high surface area, leading to high photocatalytic degradation rate towards Reactive Brilliant Red-X3B [71]. The HZSM-5 is capable of mediating electron migration and extending the lifetime of photogenerated charge carriers, thus leading to high photocatalytic activity towards organic pollutants.
Constructing perovskite with various nanostructures can lead to full utilisation of solar energy, efficient light absorption and effective e−-h+ separation. Perovskite with various structures such as nanoparticles with/without Hierarchical porous structure, core-shell structure, nanotubes, nanocubes and nanofilm have also been proven to offer significantly high photocatalytic response [72]. A well-designed nanoscale and hierarchically porous perovskite structure usually provides high surface area and excellent light absorption efficiency to take full advantage of reflection, refraction and scattering of photons [73]. A smaller size perovskite increases the availability of multiple reactive sites for enhanced photocatalytic reaction and higher degradation efficiency [74]. Downsizing perovskites to nanoscale with desired morphologies and functional properties holds a tremendous opportunity for obtaining excellent photocatalysts as decreasing the particle size leads to an increase in the quantum yields of perovskite photocatalytic reactions [75]. In smaller size perovskite particles, shorter time is required for the photoinduced charge carriers to be diffused from the bulk to the surface of perovskite, thereby suppressing the recombination of the electrons and holes. Besides, the properties and the unique architecture that are achieved by downsizing perovskites to nanoscale allow for direct use of visible light to remove pollutants without chemical addition. However, with decreasing the perovskite particle size to nanoscale the surface tension of perovskite nanoparticles significantly increases, which inevitably leads to particle aggregation.
In a bid to enhance the photocatalytic properties of perovskite with higher degradation efficiency of organic pollutants in water, a number of studies have been carried out to produce various novel nanoscale structures with unique properties [76, 77, 78, 79]. The approaches that can be used to downsize perovskite particle and control its size are ball milling, ultrasonic treatment, micro emulsion method, addition of chelating agents and controlling the calcination temperature [80, 81]. A number of studies have used ball milling to downsize perovskite particle size. By controlling ball milling time duration, the particle size and defects of STO can be adjusted, for example, by increasing ball milling treatment time the particle size can be significantly decreased [82]. The smaller STO particles can provide shorter charge carriers transport path to the surface, where the photocatalytic reaction take place, thus decreasing the chance of photoinduced e−-h+ pairs recombination. On the other hand, longer ball milling treatment time results in the creation of defects like oxygen vacancies, which act as a mediator and further facilitates the charge separation to accelerate the degradation of organic pollutant molecules. Nanoscale (15 nm average thickness and 70–80 nm length) floral-like LFO 3D structure has been prepared via hydrothermal method using polyvinylpyrrolidone (PVP) as a chelating agent. Apparently, the photocatalytic activity of the nanoscale engineered LFO for the degradation of organic pollutants is much higher than that of the bulk LFO, owing to the higher surface area (90.25 m2/g as compared to bulk LFO of 8 m2/g) that provides abundant active sites and efficient separation of e−-h+ pairs via facile charge transport on small-sized nanosheets.
Over the last decade, several hierarchical nanostructure perovskites with different and effective morphology have been synthesised to enhance perovskite photocatalytic performance water decontamination [83, 84]. Hierarchical porous structure is one of the morphologies that provides larger surface area and more active sites, both of which enhance the contact between perovskite and organic pollutants during photocatalytic reaction [85]. Porous structure enhances the rate of mass transfer of pollutants within the perovskite, leading to an excellent photocatalytic activity with fast reaction kinetics for organic pollutant degradation. Porous nanofiber structure has also been synthesised for the enhancement of physical and chemical properties of perovskites compared to their granulate counterpart. Perovskite nanofiber structure can be synthesised using several approaches such as electrospinning method, template synthesis, hydrothermal method, self-assembly and solvothermal method, amongst which electrospinning method is widely regarded as a simple and easily controllable method for the fabrication of nanofibers [86]. The enhanced photocatalytic efficiency and higher removal of pollutants in water achieved by perovskite nanofiber structure can be attributed to the abundant and reachable active sites and the ultralong 1D nanostructure, both of which provide effective directing photo-generated electrons transportation [87, 88], as illustrated in Figure 7. The LaCoO3 nanofiber structure has been shown to exhibit a higher photocatalytic activity than the LaCoO3 nanoparticles in the degradation of RhB, owing to the favorable features of nanofiber structure such as larger surface area with more photoactive sites [23, 89]. The LFO ribbon-like porous ultrafine nanofibers have been synthesised by electrospinning, which exhibit higher specific surface area and more active sites for enhanced light absorption and photocatalytic degradation of MB.
Schematic representation of electron-hole pair separation in perovskite nanofiber systems.
The interfacial area of perovskite nanoparticles can be maximised by developing the Core-shell heterostructure with 3D hierarchical contact between the core and shell layers, in which a broader platform for charge carrier migration is provided. Various methods have been developed for synthesis of core-shell nanostructure perovskite such as surface functionalisation, template-sacrificial method and self-assembly method [90, 91, 92]. A heterostructure core-shell morphology enhances light absorption and multiple reflection of incident light, thus high light-harvesting efficiency, which makes core-shell perovskite structure ideal for photocatalytic applications, where charge separation is highly desirable [93]. A unique structure and heterojunction perovskite-based particles have been developed by coupling perovskites (SrTiO3, LaFeO3, LaMnO3, LaNiO3) with semiconductors (TiO2, ZnO and SnO2) as a core or shell to achieve an effective charge separation [94, 95]. LFO/TiO2 core/shell heterostructure has been developed as photocatalysts with significantly improved photocatalytic activity for the degradation of myclobutanil pesticide under solar light and visible light irradiation [96]. The LFO shell acts as photosensitizer of TiO2 for visible-light harvesting, and the full interphase contact between the core LFO and shell TiO2 provides extensive charge transfer by driving electrons to the TiO2 core and holes reversely to the LFO shell, which results in remarkably enhanced ·OH and O2•− generation for photodegradation of organic pollutants. A core-shell perovskite, (Ba,Sr)TiO3 as core and TiO2 as shell, has been reported to have an enhanced photocatalytic activity, due to charge separation efficiency across the core-shell interface.
Amongst the aforementioned nano structures, nanotube array has been widely studied for the enhancement of the photocatalytic activities of perovskites, due to their tunable size, uniformly aligned tubular structure, large internal surface area and fast electron transmission [97, 98].
Perovskites are highly crystalline and stable materials with unique and excellent features, which render them to be the best candidates amongst other semiconductor photocatalysts for photocatalytic degradation of organic pollutants. Their structure allows for tunning and adjusting their physiochemical properties through regulating their chemical composition, which offer a wide scope in developing novel nanocomposites.
Knowing that pristine perovskites suffer from a number of limitations such as low photocatalytic efficiency, insufficient solar energy consumption, rapid recombination of electron-hole and low redox potential, the great flexibility in regulating their physiochemical properties has been capitalised with the aim of developing perovskite-based materials with efficient photocatalytic activity in water remediation. A large number of perovskite-based nanocomposites have been developed and studied, using various synthesis methods and strategies such as partial and full cationic substitution using certain dopants, structure rescaling through downsizing and morphology alteration, coating and coupling with other advanced oxidation processes. Designing and preparing novel perovskite-based nanocomposites via these strategies, particularly partial and full cationic substitution, is elegant and can produce reasonably efficient photocatalysts, albeit it is still challenging.
Capitalising on the ability of computational tools, such as Density Functional Theory (DFT) based band structure, which are very effective for designing and understanding novel materials, will lead to further understanding of quantitative properties of these materials and shorten the selection process. Most of the perovskite-based nanocomposites exhibit promising photocatalytic performance, which can be considered as a viable solution to the problem of persistent organic pollutants faced by the living world and environment. However, a comprehensive study on these novel materials, particularly their ability in photocatalytic degradation of a wide range of organic pollutants is limited. The majority of the developed perovskite-based nanocomposites have been tested on synthetic wastewater under laboratory conditions, which does not quite represent natural wastewater with organic pollutants. It is worth pointing out that in natural wastewater organic pollutants can affect photocatalytic efficiency through radical scavenging and attenuation of radiation in photocatalytic process. Using actual water and studying the perovskite-based materials provide more opportunities for large applications. Rescaling the structure of perovskite nanocomposites and alteration of their morphologies, for example creation of hierarchical pore structure, may be sufficient to enhance some aspects of photocatalytic activity in the degradation of a particular dye or pollutant. Further work on the relationship between the structure and physicochemical properties of these nanocomposites will be beneficial for further enhancement of photocatalytic activities of these materials and providing a novel insight over structure-property relation. Partial and full substitution strategy using different dopants is mainly used to promote light absorption, which in turn enhances the photocatalytic activity. A comprehensive knowledge on the effects of these dopants on the photophysical properties of the modified perovskite materials will further reveal the capabilities of perovskite-based nanocomposites and pave the way for future development perovskite-based photocatalysts with superior photocatalytic activity. The main focus of almost all the studies has been on the small production of small laboratory-scale materials, incorporating 3D printing and testing the produced materials will certainly be beneficial for large-scale synthesis, leading to industrial production. Membrane filtration is usually the main separation process that is used for separating the catalysts, however, using membrane to recover perovskite-based catalysts makes the water treatment process costly and quite complex, particularly due to the occurrence of membrane fouling. Therefore, recovery and recycling the perovskite-based nanocomposites after water decontamination process merit thorough investigations.
The authors acknowledge the funding support from Chengdu Science and Technology Bureau (2019-GH02-00053-HZ).
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\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{},profiles:[{id:"396",title:"Dr.",name:"Vedran",middleName:null,surname:"Kordic",slug:"vedran-kordic",fullName:"Vedran Kordic",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/396/images/7281_n.png",biography:"After obtaining his Master's degree in Mechanical Engineering he continued his education at the Vienna University of Technology where he obtained his PhD degree in 2004. He worked as a researcher at the Automation and Control Institute, Faculty of Electrical Engineering, Vienna University of Technology until 2008. 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Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. 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He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. 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He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. 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Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. 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He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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