DOI:
10.1039/D4RA06922F
(Review Article)
RSC Adv., 2024,
14, 33843-33863
Crosslinked polymeric networks of TiO2–polymer composites: a comprehensive review
Received
25th September 2024
, Accepted 8th October 2024
First published on 28th October 2024
Abstract
The crosslinked network of TiO2–organic polymer composites has gained considerable attention over the past few years. The low band gap of TiO2 particles and the stimuli–responsive behavior of organic polymers make these composites suitable for a wide range of applications in biomedicine, environmental fields, and catalysis. Diverse morphologies and structures of TiO2–polymer composites (TPCs) are documented in the available literature, where the specific architecture of these composites intensely influences their efficiency in various applications. Consequently, a particular shaped TPC is carefully designed to suit specific purposes. This comprehensive review describes the classifications, synthetic approaches, characterizations, and applications of TiO2 nanoparticles decorated in crosslinked organic polymers. It delves into the biomedical, catalytic, adsorption, and environmental applications of these TiO2–polymer composites. The review takes a tutorial approach, systematically exploring and clarifying the applications of TiO2–polymer composites, offering a comprehensive understanding of their different capabilities and uses.
Muhammad Arif | Dr Muhammad Arif has been Professor (Assistant) of Chemistry in the Department of Chemistry, University of Management and Technology, Lahore, since 2022. He has been working as lecturer in Chemistry in the Department of Chemistry, School of Science, University of Management and Technology, Lahore from 2017 to 2022. He has completed his PhD in Chemistry from the University of the Punjab, Lahore, Pakistan. He obtained his MPhil in Chemistry and MSc in Organic Chemistry degrees from Quaid-i-Azam University Islamabad, Islamabad, and Institute of Chemistry, University of the Punjab, Lahore, Pakistan, respectively. His research area is synthesis, characterization and applications of metal nanoparticles fabricated in microgels and ligands. |
Toheed Akhter | Dr Toheed Akhter, PhD, is Assistant Professor at Gachon University, South Korea, specializing in polymer and porous materials. He completed his PhD jointly from KIAST, South Korea, and Quaid-i-Azam University, Pakistan. Dr Akhter has held postdoctoral positions at KAIST and UNIST, South Korea, and previously served as Assistant and Associate Professor at UMT, Pakistan. His research focuses on synthesizing and characterizing innovative materials for diverse applications. |
1. Introduction
Since the advent of composite materials in the early 1970s, researchers worldwide have been struggling to develop materials that accurately and precisely meet the requirements of applications.1 Composite materials are at the best in their efficiency for several reasons. Their composition includes at least two species, each possessing two distinct properties.2 By altering the nature and quantity of these constituents, the resulting composite material properties can be finely tuned, which exhibit unique characteristics.3,4 In nanomaterial–polymer composites, this tuning property mainly depends on the structure of organic polymers.5–8 Crosslinked organic polymers are the best with respect to this tuning property.9,10 The crosslinked network of organic polymers exhibits swelling and deswelling behaviors under stimulus conditions such as temperature,11 pH,12 and ionic strength.13 The crosslinked network of organic polymers that show stimuli–responsive behavior is called a smart polymer.14–20 The best performance of these smart organic polymer-based composites with respect to specific applications can be achieved by adjusting stimulus conditions.21–25 Furthermore, nanomaterials have influence on the potential of composites.26,27 Recent advancements in nanoscience have focused on leveraging the remarkable properties of nanofillers. Nanomaterials show excellent efficiency owing to their high surface-to-volume ratios28 and quantum effects established at sub-micron scales.29 Among the composite materials, polymer matrix composites are the most prevalent owing to their low density,29 low cost,30 and ease of use.31 Nanomaterial–polymer composites have significant applications in biomedical,32,33 environmental,34,35 and engineering36 fields.
Nanomaterials show exceptional hardness and remarkable stiffness, which make them valuable as reinforcing agents in polymer matrices.37,38 Minor additions of nanomaterials (approximately 1 wt%) can significantly enhance the mechanical properties of polymers by up to 100% owing to their high efficiency. This enhancement is commonly attributed to the high surface area of nanomaterials, facilitating interactions that contribute to the developed properties.
Inorganic39 or organic40 substances are used as fillers and reinforcement in polymeric systems. Various nanomaterials are employed to enhance the properties of polymer matrixes such as carbon allotropes (including carbon dots,41 graphene oxide,42 carbon nanotubes,43 and carbon fibers44), ceramics (TiO2,45 ZnO,46 Fe3O4,47 CeO2,37 SiO2,24 and TiO2/carbon nanotubes5), and metals (such as Au/Ag,12 Au,48 Pt,49 Pd,50 Ag,51 and Fe (ref. 52)). Among these nanomaterials, ceramic nanomaterials have gained significant interest due to their ready accessibility, and simple synthetic approaches.53 The integration of ceramic nanoparticles into the polymeric network of organic polymers not only significantly enhances mechanical and thermal stability but also introduces novel functionalities depending on the structure,54 chemical composition,55 and size56 of these ceramic nanofillers.
TiO2 is more important than other ceramic nanoparticles due to its low-cost composites,57 high performance for adsorption58 as well as photocatalytic degradation,59 comparatively small particle size,60 ease of handling,61 tunable properties,62 high surface area,63 and non-toxic nature.64 TiO2 nanoparticles also have importance due to their hydrophilicity,65 chemical stability,66 widespread availability,67 and a range of other beneficial properties.68–70 The surface chemistry of nanomaterials is commonly modified with reinforcing agents to establish strong interactions between polymer matrices and nanofillers in TiO2–polymer composites (TPCs).71–73 Various approaches can be employed to modify the surface properties of TiO2 such as (i) inducing the coordination of small molecules through chemisorption, facilitated by proton transfer via hydrogen bond formation,74 (ii) surface alteration via the presence of hydroxyl reactive groups and adsorbed species on TiO2, leading to surface modification through the formation of covalent bonds with certain coupling agents,75 (iii) using grafting techniques of monomers and comonomers in the form of polymers on the TiO2 surface to generate electrostatic forces of attraction.76
TiO2 nanoparticles are used in various fields including solar cells,77 sensors,78 optical devices,79 and water purification membranes.80 Leveraging the adaptable properties of TiO2 nanoparticles, TiO2–polymer composites have been developed for diverse applications,81–84 which exhibit more efficiency than TiO2 alone. These crosslinked organic polymers along with TiO2 particles have even more importance than TiO2 particles alone because TiO2–polymer composites have both TiO2 particles and crosslinked organic properties. In addition, the use of nano-TiO2 (which effectively absorbs and reflects ultraviolet rays) enhances the high-temperature performance and aging resistance of polymer composites, to modify polymer-modified composites.85–87 Consequently, these engineered TiO2–polymer composites offer versatility for various purposes. To the best of our knowledge, various articles are reported on TiO2 particles88–90 and crosslinked organic polymers91–93 separately, but a review on TiO2 particles decorated in crosslinked organic polymers has not yet been reported. The aim of this review article is to provide complete details of the synthesis, classifications, characterizations, and applications of TiO2 particles in crosslinked organic polymers. Additionally, it provides information on the factors that enhance their performance in different fields such as adsorption and photocatalysis.
2. Classifications
The TiO2–polymer composites (TPCs) with a crosslinked network can be divided into various classes on the basis of (i) crosslinking nature and (ii) morphologies of composites. Explanations related to these classes are given below.
2.1. Classifications on the basis of crosslinking nature
The crosslinked structure of TPC can be formed using different crosslinkers. These crosslinkers can be (i) metal cations, (ii) organic molecules and (iii) TiO2 itself. Let us now discuss these classes one by one.
2.1.1. TiO2 as a crosslinker. In this category, no external crosslinker is needed for the synthesis of TPC. In some cases, TiO2 nanoparticles also act as crosslinkers to form crosslinked structures of TPC. The structure of TiO2 has Ti–O–H bonds, which can make hydrogen bonding with the structure of organic polymers. This hydrogen bonding is responsible for the formation of a crosslinked network of TPCs. This crosslinked network of TPCs can be decreased by external stimuli such as temperature, radiation, pH, and the content of ionic salts. All these factors directly affect the strength of hydrogen bonding present between Ti–O–H and organic polymers. For example, the pH of the medium has influence on the crosslinking strength. The zero electric point of TiO2 is 6.8. If pH ≥ 6.8, the oxygen and hydrogen bonds of Ti–O–H are broken and the size of TPC increases from the normal value due to deprotonation and then electrostatic repulsion between Ti–O− anions. Due to this conversion of the structure of TPC, hydrogen bonding also gets altered, usually it is decreased. Similarly, Ti–O–H shifts into Ti–O+H2 at pH ≤ 6.8. In this way, the crosslinking density of TPC varies with the pH of the medium.75 Therefore, the performance of TPC is also affected due to this conversion. Similarly, kinetic energy also influences this hydrogen bonding as the kinetic energy of TPC varies. Therefore, their performance for applications is also affected with these stimulus-responsive behaviors. The structure of monomers is also affected on their potential of applications. For example, a poly(acrylic acid)–TiO2 composite has two groups (–COOH, –O–H) in its structure, which can donate their protons.94 One (–COOH) is from poly(acrylic acid) and the other (Ti–O–H) from TiO2. Such systems are also in swelling state after the conversion of –COOH groups into –COO− ions and before the isoelectric point of TiO2. This conversion increases the adsorption capacity (due to large surface area and available spaces) and photocatalytic performance (due to easy approach of reactant molecules on the surface of TiO2) of TPC. In the swelling state, the reactant molecules easily reach the surface of TiO2 and easily degrade. Therefore, the degradation rate increases with swelling. The porosity of TPC is very important with respect to adsorption and photocatalytic activity. This porosity of TPC can be controlled with the content of TiO2. The area of pores decreases with the increase in the content of TiO2 due to increase in the crosslinking density of TPC.95The crosslinking structure of such TiO2–polymer composites is not very stable and this crosslinking value changes with varying the conditions of medium. The loaded materials in these TPC are easily released due to decrease in the crosslinking density with external stimuli. Some amount of TiO2 also comes out from TPC systems. The crosslinking density of such systems also decreased with centrifugation. Therefore, such systems are not easily recycled, and their performance rapidly decreases after recycling.
2.1.2. Crosslinking with covalent bond formation. The crosslinked network of TPCs can be formed by covalent bond formation with a suitable crosslinker such as methacrylic anhydride (MAAn),96 ethylene-glycol-diacrylate (EGDA),97 glutaraldehyde (GA)98 and N,N′-methylene-bis-acrylamide (NMBA).99 These types of TPCs are mostly reported in the literature with N,N′-methylene-bis-acrylamide76,100,101 as crosslinkers due to their high stability. Such systems are used in various fields such as adsorption102 and photocatalytic degradation103 of pollutants, drug delivery,104 and reduction of Cr(VI)105 ions from water.By crosslinking with covalent bond formation, the TPC has more advantages than the aforementioned classes due to high stability and reversible stimuli responsive behavior. These systems show reversible swelling and deswelling behaviors under different values of temperature106 and pH (ref. 107) of the medium without deformation in their structures. These types of TPC can be easily recycled without losing their performance.108 Such stability is not present in the above-discussed classes.
2.2. Morphological classification of TPCs
TPCs can be classified on the basis of morphology into various classes, as shown in Fig. 1. These classes are given below.
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| Fig. 1 Classifications of TPCs on the basis of morphology: (a) homogenous microspheres, (b) TiO2 enclosed in crosslinked organic polymers, (c) crosslinked organic polymer enclosed in TiO2 nanoparticles, (d) biomolecule enclosed in a layer of TiO2 encapsulated in crosslinked polymers, (e) inorganic enclosed in crosslinked polymer encapsulated in TiO2 nanoparticles and (f) TiO2 nanoparticle-decorated crosslinked organic polymer enclosed in another crosslinked polymer. | |
2.2.1. Homogenous microspheres. In homogenous microspheres, the TiO2 nanoparticles are uniformly distributed into the crosslinked network of organic polymers, as shown in Fig. 1(a). The compositions in each part of the structure of such classes are uniform. Such types of TPCs are widely reported in the literature.74,109 These systems exhibit swelling and deswelling properties under various stimuli conditions.110,111 The sensitivity of these TPCs to stimuli significantly influences their capabilities in catalysis, drug delivery, and adsorption. Adsorption, photocatalysis, and drug delivery by these systems can be controlled by controlling the diffusion rate of reactant molecules from the bulk region to the surface of TiO2 across the crosslinked network. Therefore, these systems have tunable properties, which can be adjusted according to the conditions.The adsorption and drug delivery properties of these composites depend on the nature of crosslinked polymers. These polymers also exhibit selectivity towards adsorption and rejection of pollutants due to electrostatic attraction (in case of opposite charges) and repulsion (in case of same charges).112 These attractions also have effect on the loading and release of drugs. The main drawback of these composites is ultrafast-centrifugation, and some content of TiO2 is leached out during this recycling process. Therefore, the catalytic efficiency of these composites decreases rapidly with the recycling process.
The tranquil nature of catalytic activity, adsorption capacity, and drug delivery in these systems stems from the effortless diffusion of reactive components. Enhanced stability arises from the encapsulation of silver nanoparticles within electron-donating groups. These hybrid microgels are categorized into two classes based on the presence of either one (monometallic) or two (bimetallic) metal nanoparticles within the microgels. Such systems are further classified into two classes: (a) TiO2 nanoparticles decorated in crosslinked organic polymers and (b) TiO2 and other metal oxide or metal sulfide nanoparticles decorated in crosslinked networks.
In TiO2 nanoparticles decorated in the crosslinked network, no other type of metal oxide or sulfide nanoparticle is present in the structure of TPCs. Such systems are frequently reported in the literature. They have good performance with respect to adsorption, photocatalysis, and drug delivery, while the other classes (TiO2 and other metal oxide or metal sulfide nanoparticles decorated in crosslinked networks) have more advantages than the aforementioned classes due to the synergistic effect. The value of energy band gap in these composites further decreases. Therefore, the valence electrons can easily jump from the valence band to the conduction band, and the degradation efficiency increases in the presence of photons.113 Similar effects of these composites are also present for other applications such as antibacterial activity.114
2.2.2. TiO2 enclosed in crosslinked organic polymers. In crosslinked organic polymer-enclosed TiO2, TiO2 nanoparticles are trapped with crosslinked organic polymers to form a core–shell system, in which TiO2 is present in the core region and crosslinked organic polymers in the shell, as shown in Fig. 1(b). Such classes are very rarely reported in the literature. These core–shell systems are effective for adsorption purposes, but their photocatalytic efficiency is very low. The photocatalytic activity of these systems is due to the presence of TiO2. When TiO2 is present in the core, then the approach of pollutant molecules to the surface of TiO2 takes more time due to the longer distance between the pollutant present in the bulk region and the surface of TiO2. The adsorption property of such systems does not have much effect on this position of TiO2 because the crosslinked organic polymer region is a better region for the adsorption of pollutants than the TiO2 region. The adsorption capacity of such core–shell systems is greater than TiO2 lone due to more interaction with pollutants and loading drugs.115 These systems can also be used for drug delivery due to the organic shell region.116 The releasing of loaded drug can be controlled with the stability of the organic shell. The stability of these core–shell systems decreases with time (in days). Therefore, the loaded drugs are also released rapidly from the core–shell systems to the target place. This releasing efficiency can be controlled by controlling the stability of the core–shell systems. This releasing efficiency is controlled with the crosslinked structure. The crosslinked structure of organic polymers stabilized the shell region and also controlled the release of loaded drugs.117
2.2.3. Crosslinked organic polymer enclosed in TiO2 nanoparticles. In the TiO2 nanoparticle-enclosed crosslinked organic polymer, the crosslinked organic polymer is surrounded by TiO2 nanoparticles to form core–shell systems, as shown in Fig. 1(c). In these core–shell systems, the crosslinked organic polymer is present in the core region and TiO2 nanoparticles in the shell.118 The formation of such types of core–shell systems depends upon the size of TiO2 nanoparticles and the crosslinking density of organic polymers. If the size of TiO2 nanoparticles is large or the crosslinking density of organic polymer is high or both, then the TiO2 nanoparticles cannot come into the sieves of crosslinked organic polymer and adsorb onto the surface of the organic polymer due to electrostatic interactions.119 Such systems have a better photocatalytic activity than that of crosslinked organic polymer-enclosed TiO2 systems and homogenous microspheres. The pollutants can easily reach the surface of TiO2 (main photocatalyst) than other systems. Therefore, the photocatalytic degradation rate of such core–shell systems is greater than the aforementioned systems. Because the pollutant takes more time to reach the surface of TiO2 nanoparticles through the crosslinked network in other systems, while the pollutants reach the TiO2 surface directly in these systems. Their photocatalytic activity is further enhanced with the increase in the content of TiO2 nanoparticles in these core–shell systems. The activity sites of such core–shell systems increase with the increase in the content of TiO2 nanoparticles. Therefore, their activity increased with the TiO2 content.120 The adsorption capacity of such systems is lesser than that of other systems due to the less adsorption capacity of TiO2 nanoparticles than that of the crosslinked network of organic polymers. However, the percentage removal of these systems is higher than that of others due to both adsorption and photocatalytic properties.121These systems are not reported for drug delivery. Their antibacterial activity and drug delivery performance are the available fields for research. These systems can be used for the fabrication of clothes due to their antibacterial activity, and protection from UV radiation. These properties become more suitable in synergistic effects.24 More research is needed on these systems due to their effective performance in various fields.
2.2.4. Biomolecule enclosed in a layer of TiO2 encapsulated in crosslinked polymers. In these systems, the core is made with biomolecules alone or with other species, which is surrounded with a layer of TiO2 nanoparticles, which is further surrounded by a crosslinked polymer to form core-layer–shell systems, as shown in Fig. 1(d). The adsorption capacity of such systems is greater than that of the core enclosed in a layer. Such systems are very suitable for adsorption processes due to polar crosslinked shell networks. These polar crosslinked networks absorb more contents of pollutants. The TiO2 layer then facilitates these systems to degrade the adsorbed pollutants due to the photocatalytic effect.122 The photocatalytic effects of these systems are less than that of homogenous microspheres and organic polymer enclosed in TiO2 due to consumption of time during the approach of pollutants from the bulk region to the TiO2 surface. They also show catalytic degradation behavior of pollutants from water under sonication. The power of sonication also promotes the electrons of valence band to the conduction band of TiO2 nanoparticles. Therefore, such hybrid systems can show catalytic activity in sonication to degrade pollutants.13Biomolecules enclosed in a layer of TiO2 encapsulated in crosslinked polymer systems cannot lose TiO2 nanoparticles from their structure during recycling. Such systems can also be used for drug delivery due to the stimulus–responsive behavior, polarity and porosity of the shell region. The porosity of such systems effect of loading of drug, while polarity on loading and releasing of drug from these systems. Such systems are not applied for this purpose yet. This is an empty space for research in these systems. They are also not used for antibacterial and other applications. New researchers can work in these fields by these types of systems.
2.2.5. Inorganic enclosed in crosslinked polymer encapsulated in TiO2 nanoparticles. In these systems, inorganic particles (SiO2 or Fe2O3 or Fe3O4) are present as core which is surrounded by the crosslinked polymer shell which is further encapsulated with TiO2 nanoparticles as shown in Fig. 1(e). Such systems are very rarely reported in the literature. These systems have a higher photocatalytic activity than that of other aforementioned systems (except crosslinked polymer enclosed in TiO2) because the pollutants can directly come into contact with the photocatalytic material (TiO2 nanoparticles). These systems are also useful for the adsorption of pollutants due to Ti–O–H bonds. These polar bonds can make hydrogen bonding with polar pollutants, and therefore, the pollutants adsorbed onto the surface of these systems.123 The adsorption property of such systems can be changed by changing the environment of medium such as pH, temperature, contact time, dose of adsorbent, and concentration of pollutants. These parameters affect the interactions present between the pollutants and the adsorbents.These systems are not used for photocatalytic degradation of pollutants, drug delivery, and antibacterial applications. Their adsorption study was also conducted different types of pollutants. These systems are very useful to those researchers working on photocatalysis. These systems can easily be recycled due to their large density (due to solid inorganic core). However, leakage of TiO2 nanoparticles from these systems during recycling is the only drawback of these systems, which can be controlled by using magnetic nanoparticles (Fe3O4 or Fe2O3) as inorganic cores.
2.2.6. TiO2 nanoparticle-decorated crosslinked organic polymer enclosed in another crosslinked polymer. In these systems, TiO2 nanoparticles are decorated in crosslinked organic polymers which are then further encapsulated with another crosslinked polymer network, as shown in Fig. 1(f). Such systems are also rarely reported in the literature. In such systems, the crosslinked network of the shell region is responsible for the adsorption property and stimulus-responsive behavior. The pollutants come into the crosslinked network of the shell region from the bulk region due to electrostatic interactions. The photocatalytic activity of such systems is very low due to slow approach and less content approach of pollutants to the surface of TiO2. This approach depends on the flow of water molecules from the outer region to the hybrid systems and from hybrid systems to the outer region of the medium. Therefore, those systems which can uptake more water molecules should be more efficient photocatalysts than those in which the water intake is very low. Those systems which absorb more water molecules have a high value of hydrodynamic diameter, and the area of pores is very high. Therefore, water molecules can easily enter into the network and out of the network.39 Similarly, the pollutant can easily enter into the network along with water molecules in swelling hybrid systems and reach the surface of TiO2 nanoparticles. These nanoparticles degraded these pollutant molecules into CO2 and water molecules.43
3. Synthesis
TiO2–polymer composites can be synthesized by different methods. These methods are given below.
3.1. Simultaneous mixing of TiO2 nanoparticles and monomers, comonomers, and crosslinker to form TiO2–polymer composites (TPCs)
In this method, all components are first mixed by sonication and stirring. The electrostatic forces take part to come close with each other. In this way, the solubility of all components increased in the medium. After that, a free radical initiator is added in to the mixture to start polymerization. The reason for mixing is that the composition of all components is homogenous at all places of medium. For instance, Zhou et al.102 have reported the synthesis of TiO2 nanoparticles decorated in chitosan-poly(N-isopropylacrylamide) TiO2-CS-P(NIPAM) by a similar method, as shown in Fig. 2. They prepared a solution of chitosan in 1% acetic acid solution and then added into a three-necked round-bottomed flask containing deionized water along with N-isopropylacrylamide (NIPAM) (monomer), N,N′-methylenebisacrylamide (NMBA) (crosslinker), and TiO2 nanoparticles and sonicated for 10 min. The mixture was purged with argon (Ar) for 30 min to remove oxygen. Ammonium-per-sulfate (AmPS) (free radical initiator) and N,N,N′,N′-tetramethylethylenediamine (NTMEDA) (accelerator) were then added into the above mixture under vigorous stirring at 20 °C for 1 h. Xu et al.111 and You et al.107 have also reported the synthesis of TiO2–polymer composites by similar methods.
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| Fig. 2 Synthesis of TiO2 nanoparticles decorated in chitosan-poly(N-isopropylacrylamide) TiO2-CS-P(NIPAM) by simultaneously mixing all components (reproduced from ref. 102 with permission from Elsevier, copyright 2017).102 | |
In this method, homogenous microspheres of composites were formed. Therefore, it is not suitable for core–shell systems of composites. This method is very simple and easy to perform, but the size control of TiO2 and microgels is a challenge in this method. The size of TiO2 and crosslinked polymer network is very important with respect to their applications. Therefore, this method is not suitable for those researchers, which require specific sized TiO2–polymer composites.
3.2. Insertion of TiO2 nanoparticles in crosslinker polymer microgels
In this method, both crosslinked organic polymers and TiO2 were synthesized separately. The microgels have polar parts in their structure, which interact with the TiO2 particles. Due to this interaction, the TiO2 particles are moved towards the microgel network from the medium. The diffusion of TiO2 nanoparticles depends on the size of TiO2 and the crosslinking density. More particles are moved inside if the size of the particles is small with low crosslinking density. In the low crosslinking density, the area of sieves of crosslinked network is large. Therefore, the TiO2 particles easily diffuse into the network of microgels. The density of crosslinking networks can be controlled by the swelling/deswelling behavior in smart microgel composites. The insertion of TiO2 has rapidly occurred in the swelling state of microgels. In this state (swelling state), the surface area of pores is maximum and TiO2 can easily diffuse into the crosslinked network of microgels along with water molecules and vice versa. Škorić et al.121 synthesised TiO2 nanoparticles decorated in chitosan-poly(methacrylic acid) TiO2-CS-P(MAAc), as shown in Fig. 3. They synthesized the first TiO2 nanoparticles by using TiCl4. The solution of TiCl4 was cooled till −20 °C and then added in another beaker containing deionized water at 4 °C under vigorous stirring. The stirring continued for further 30 min at that temperature. The pH of the solution was in the range of 0–1 (depending on content of TiCl4). The solution was dialyzed to pH = 3.5. For the synthesis of microgels, chitosan (comonomer), methacrylic acid (monomer) and N,N′-methylenebisacrylamide (NMBA) (crosslinker) were added into a three-necked flask containing deionized water. The mixture was stirred until a homogenous mixture was obtained and heated at 50 °C. Then potassium-per-sulfate (PoPS) (free radical initiator) was added dropwise into the mixture under nitrogen purging and stirring (450 rpm, T = 50 °C). After 15 min, N,N,N′,N′-tetramethylethylenediamine (NTMEDA) (accelerator) was also added into the mixture and the reaction was proceeded for further 3 h. The product was purified with petroleum ether and deionized water respectively and dried at 37 °C. To synthesize the composite, the synthesized microgel was first swelled for 2 h and then TiO2 nanoparticles were mixed with vigorous stirring (Yun et al.103 and Galata et al.).119 A similar synthetic method was reported by Kazemi et al.124 and Zazakowny.60
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| Fig. 3 Synthesis of chitosan-poly(methacrylic acid) CS-P(MAAc) followed by TiO2 to form TiO2-CS-P(MAAc). | |
This method is also easy to synthesise TiO2–polymer composites. This method is applicable only for homogenous composite microspheres and microgels covered with TiO2 nanoparticles. TiO2 nanoparticles enclosed in microgel composites cannot be synthesized by this method. This method requires more time during synthesis. During insertion of TiO2 nanoparticles, the pore size of microgels and size of TiO2 nanoparticles are the most important parameters. If the size of TiO2 nanoparticles is greater than the pore size of microgels, then TiO2 nanoparticles cannot come into the sieves of microgels and adsorb onto the surface of microgels only. Insertion is possible if the size of TiO2 is smaller than the pore size of microgels. Therefore, controlling the size is the main key point for this method.
3.3. Simultaneous mixing of monomers, comonomers with TiO2 nanoparticles followed by crosslinkers (without free radical initiators)
In this method, the polar monomers are mixed with TiO2 in an acidic medium. A bond is generated between the oxygen of TiO2 with polar functional (–COOH, –OH, and –NH2) groups of monomers. After that, a crosslinker was added to form a crosslinked network containing composites. Homogeneous composites of organic polymers with TiO2 were synthesized by this method. Maximum loading of TiO2 nanoparticles occurs in this method. Therefore, the photocatalytic activity of such synthesized composites is greater than the composites synthesized by the aforementioned methods. Mohammad et al.125 synthesized TiO2 nanoparticles decorated in the crosslinked network of chitosan–glyoxal (CS–GX), as shown in Fig. 4. They mixed TiO2 nanoparticles and chitosan and then stirred in 5% acetic acid for 24 h under vigorous stirring. This mixture was then added into a basic medium at a drop rate of 1 mL min−1. The mixture was then heated at 40 °C after adding glyoxal (GX) (crosslinker). The product was washed extensively to remove the impurities. A similar method was reported by Liu et al.105
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| Fig. 4 Synthesis of TiO2–CS–GX by simultaneously mixing TiO2, CS followed by GX crosslinkers (reproduced from ref. 125 with permission from Elsevier, copyright 2019).125 | |
This TiO2–polymer composite synthetic method does not waste the amount of TiO2 nanoparticles during synthesis but some content of TiO2 is lost during other synthetic methods due to hydrogen bonding of TiO2 with water molecules while intra molecular hydrogen bonding in the crosslinked network of organic polymers. The synthesis of monodispersed TiO2 nanoparticles is not possible in this synthetic method. This synthetic method is applicable only for homogenous hybrid microgels.
3.4. Synthesis of TiO2–polymer composites without free radicals
In this method, the crosslinked network system is synthesized without any external free radical initiator. In this method, radicals are generated by thermal decomposition of pi bonds due to their weakness. The Pi bond is a weak bond as compared to sima bond owing to parallel overlapping. Therefore, this bond can easily break with the generation of free radicals to produce a crosslinked network of conditions. The radicals are generated by applying thermal radiations126 and photons97 on the monomers. These energies converted the monomers into radicals. The monomers or commoners act as self-crosslinkers during the synthesis. Wei et al.127 have synthesized TiO2 decorated in poly(ethylene glycol diacrylate) TiO2-P(EGDA) with UV irradiation. They mixed the photo-initiator and ethylene glycol diacrylate (EGDA) in ethanol with vigorous stirring for 30 min. Then TiO2 nanoparticles were dispersed in an aqueous medium and ultra-sonicated for 30 min to remove dissolved oxygen. Then this dispersion along with P(EGDA) is spread in a chamber along with a plastic injector. The radiations of UV-LED lamp (240 mw cm−2) fell on this mixture for 700 ms to form composites. Then the product was treated with plasma for 30 s. The product was then treated by ultra-sound in ethanol and water to remove impurities. Wu et al.128 have also been reported the synthesis of TiO2 nanoparticles in graphene oxide-poly(N,N′-dimethylacrylamide) TiO2-GO-P(NDMAAm) systems. They mixed graphene oxide (GO), N,N′-dimethylacrylamide (NDMAAm), NMBA, and TiO2 in an aqueous medium. UV light (for 5 min) or sun light (for 30 min) irradiated on this mixture to form a brown elastic product. The irradiation continued for a further 1 h to change the light brown color into dark brown. This color variation indicated the conversion of graphene oxide into reduced graphene. Kandel et al.115 have also reported the synthesis of TiO2–polymer composites by an electro-copolymerization method (without free radical initiator).
Homogenous composites are formed in this approach. This synthetic method is very simple and easy to use but the control of size of both TiO2 nanoparticles and crosslinked polymers is not controllable. Complete polymerization and proper orientation of polymerization methods is very important which cannot be controlled in this method. The value of radiation is not homogenous for all monomers. Therefore, monodisperse TiO2–polymer composites are not properly synthesized by this method.
4. Characterizations
Various techniques are employed to analyze the structure, size, morphology, and composition of TiO2 nanoparticles decorated within organic polymers, as listed in Table 1. These techniques serve to differentiate the structural morphology, porosity, and stimuli behavior of TiO2 nanoparticles in polymer and polymer networks (without TiO2). Specific characterization techniques include X-ray diffraction (XRD), dynamic light scattering (DLS), scanning electron microscopy (SEM),129 energy-dispersive X-ray spectroscopy (EDX), high-resolution transmission electron microscopy (HR-TEM), wide-angle X-ray scattering (WAXS), 1H-nuclear magnetic resonance spectroscopy (NMR), photoluminescence spectroscopy (PL), Raman spectroscopy (RS), transmission electron microscopy (TEM), UV-visible spectroscopy (UV-vis), laser light scattering spectrometry (LLS), photo correlation spectroscopy (PSC), attenuated total reflectance spectroscopy (ATR), differential mechanical analysis (DMA), differential scanning calorimetry (DSC), inductively coupled plasma atomic emission spectroscopy (ICP-AES), atomic force microscopy (AFM), polarizing optical microscopy (POM), inductively coupled plasma mass spectrometry (ICP-MS), Fourier transform infrared (FTIR) spectroscopy, inductively coupled plasma-optical emission spectrometry (ICP-OES), Brunauer Emmett Teller (BET) analysis,131 and field emission scanning electron microscopy (FE-SEM).140
Table 1 TiO2–polymer composites with monomers and comonomers, applications, and characterization techniques
System |
Structural morphology |
Monomers and comonomers |
Applications |
Characterization techniques |
References |
TiO2-SoA-P(Q-10) |
Homogenous microsphere |
SoA, Q-10 |
Antibacterial |
SEM, zeta potential, DLS, UV-vis, TGA, digital camera |
129 |
TiO2-P(AAm-DMAAm) |
Homogenous microsphere |
AAm, DAAm |
Photocatalytic activity |
TEM, FTIR, UV-vis, SEM |
130 |
TiO2-P(AAm) |
Homogenous microsphere |
AAm |
— |
EDX, FTIR, TGA, XRD, BET |
131 |
TiO2–GG–P(AAm) |
Homogenous microsphere |
GG, AAm |
Adsorption |
FTIR, SEM, TGA, BET, TEM, EDS |
132 |
TiO2-P(VA)-C |
Homogenous microsphere |
VA, C |
Conductance, water adsorption |
TGA, XRD, UTM, SEM |
133 |
TiO2@CS, TiO2–CeO2@CS, CeO2@CS |
Core–shell |
CS |
Tissue engineering and water adsorption |
SEM, XRD, UV-vis, Fluorescence, Rheometer, MTTS |
37 |
TiO2-PT-P(EOAAm), MgO-PT-P(EOAAm), CaO-PT-P(EOAAm), ZnO-PT-P(EOAAm) |
Homogenous microsphere |
PT, EOAAm |
Antibacterial |
FTIR, TEM, XRD, SEM |
134 |
TiO2-KCG-XG-GeG |
Homogenous microsphere |
KCG, GeG, XG |
Antibacterial |
FTIR, SEM, XRD, DSC, TGA, CA analyzer, UV-vis |
135 |
TiO2-P(VA), Fe3O2-P(VA) |
Homogenous microsphere |
VA |
Biomass immobilization and wastewater treatment |
SEM, FTIR, MTS, Rheometer |
136 |
TiO2-P(NIPAM-AAc) |
Homogenous microsphere |
NIPAM, AAc |
— |
TEM, DLS, Zeta-sizer, Turbidometer, UV-vis |
137 |
TiO2-P(VA) |
Homogenous microsphere |
VA |
— |
ESR, XRD, UV-vis |
138 |
TiO2-P(AAc-VP) |
Homogenous microsphere |
AAc, VP |
Water uptake |
DSC, TGA, SEM, EDX, FTIR |
139 |
TiO2-CMCS-P(VA) |
Homogenous microsphere |
CMCS, VA |
Antibacterial |
XRD, TGA, FE-SEM, SEM, fluorescence, FTIR |
140 |
TiO2-(AAm), TiO2-(AAm-PoA) |
Homogenous microsphere |
AAm, PoA |
Photocatalysis |
BET, TEM, XRD, particle-size analyzer, UV-Vis |
141 |
TiO2-P(AMPS) |
Homogenous microsphere |
AMPS |
Photocatalysis |
BET, SEM, XRD, FTIR, TGA, UV-vis |
142 |
TiO2-P(VA)-P(AAc) |
Homogenous microsphere |
VA, AAc |
Photocatalysis |
SEM, FE-SEM, XRD, UV-vis |
143 |
TiO2-SoA-HPMC |
Homogenous microsphere |
SoA, HPMC |
Drug delivery, anti-cancer |
FTIR, SEM, DSC, XRD, TGA, DSC |
83 |
TiO2-CS |
Homogenous microsphere |
CS |
Adsorption and antibacterial |
FE-SEM, SEM, EDS, BET, FTIR, TGA |
144 |
TiO2/ZnO–P(HEMA-AMPS) |
Homogenous microsphere |
HEMA, AMPS |
Adsorption |
ATR-FTIR, EDS, SEM, XRD, HR-TEM, UV-vis |
46 |
TiO2-CS-P(AAm-IA), SiO2-CS-P(AAm-IA) |
Homogenous microsphere |
CS, AAm, IA |
Adsorption, antibacterial |
EDX, BET, SEM, TGA, FTIR, AAS |
145 |
Advanced microscopic instruments such as TEM, AFM, HR-TEM, FE-SEM (ref. 140) and SEM are used to analyze the organic polymers with and without TiO2 nanoparticles, aiming to explore their physical attributes. HR-TEM and TEM (ref. 46) are employed to examine the size, size distribution, and morphology of both the organic polymers with and without TiO2. They are also used to investigate the dimensions, and shapes of both polymer microgels with and without TiO2. Furthermore, AFM, SEM (as shown in Fig. 5(D–G)), and HR-TEM are used to investigate the surface morphology of organic polymers with and without TiO2 present due to their structural arrangements, as shown in Fig. 5(H–K).
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| Fig. 5 Characterization techniques: (A) FTIR, (B) XRD and (C) TGA (reproduced from ref. 71 and 102 with permission from Elsevier, copyright 2022).71,102 (D–G) SEM image (reproduced from ref. 74 with permission from Elsevier, copyright 2021).74 (H–K) TEM image (reproduced from ref. 95 with permission from Elsevier, copyright 2019).95 | |
NMR, FTIR (as shown in Fig. 5(A)), and RS techniques are extensively employed to investigate the functionalities of resulting organic polymers and to differentiate the interactions within the polymeric network of organic polymers with and without TiO2 nanoparticles. EDX and XRD (ref. 132) techniques serve to validate the presence and characteristics of TiO2 nanoparticles within crosslinked polymeric networks. The crystalline structure of polymers with and without TiO2 nanoparticles is assessed by XRD, as shown in Fig. 5(B). WAXS, Particle Size Analyzer, and DLS are used to measure the diameter range, size distribution and size of both crosslinked polymers and hybrid systems. UV/Vis/NIR spectroscopy is utilized to ascertain the volume phase transition temperature (VPTT) of crosslinked organic polymers with and without TiO2 by measuring turbidity.
TGA,133 DMA, and DSC (ref. 135) techniques are used to examine the thermal stability and decomposition characteristics of both organic polymers and their hybrid systems. TGA is also used to quantify the content of TiO2 nanoparticles within organic polymers, as shown in Fig. 5(C). DLS/Photon correlation spectroscopy (PCS) is employed to ascertain the size distribution and hydrodynamic size of polymers with and without TiO2 nanoparticles. WAXS is utilized to characterize the structure and uniformity of synthesized hydrogels, providing valuable information about the network topology, and ensuring consistency in their structures. Rheological measurements are carried out to understand the viscoelastic properties of hydrogels.
Investigations into drug release encompass evaluating the cytotoxic effects of organic polymers and hybrid systems through MTTS (ref. 37) assays. The amount of drug released is quantified using the HPLC technique, while the loading and release of the drug are monitored by confocal laser scanning microscopy (CLSM). Furthermore, ICP-MS, ICP-OES, and ICP-AES were employed to determine the presence of TiO2 nanoparticles incorporated into polymers. Table 1 provides a summary of the microgels containing TiO2 nanoparticles, the characterization techniques employed, and their respective applications. Some characterization techniques are given in Fig. 5, which are used for the characterization of both polymer and TiO2–polymer composites.
5. Applications of TiO2–polymer composites
TiO2–polymer composites have various applications in various fields, as shown in Fig. 6. These applications are discussed one-by-one in this section.
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| Fig. 6 Applications of TiO2–polymer composites. | |
5.1. Drug delivery
TiO2–polymer composites can be used for drug delivery. The loading and releasing of drug from TiO2–polymer composites depends upon the interactions present between the drug and the network of composites. The crosslinked network of polymers is made by the polymerization of monomers. Therefore, the interaction of network depends upon the nature of monomers used for the synthesis of crosslinked polymers.104 The strength of interaction depends upon the nature of both the drug and the crosslinked polymeric network.117 If the charge of the crosslinked network is opposite to the charges of drug, then maximum interactions are present between the drug and the composite. Therefore, maximum loading of drug occurs than other conditions of charges. Similarly, these interactions also affect the releasing behavior of drug.110 Another reason of more and fewer loadings of drug is the swelling and deswelling nature of polymers under stimulus conditions. Maximum loading of drug occurred in swelling state which is released after reaching the target place by the conversion of deswelling the state of hybrid systems, as shown in Fig. 7.97
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| Fig. 7 Loading and release of drugs from TPC. | |
During the swelling state, the drug comes into the sieves of crosslinked network along with water molecules due to electrostatic interactions. Interactions can be decreased by changing the conditions of environment. Therefore, the network is shifted from the swelling state to the deswelling state and the drug comes out from these sieves along with water molecules. This shifting of the swelling state into deswelling has occurred by changing the pH (ref. 73) and temperature83 of the medium. Basically, there are two types of interactions: hydrophilic (interactions between water molecules and the structure of TiO2–polymer composites) and hydrophobic (interactions present between different parts TiO2–polymer composites). The strength of these interactions can be changed by changing the environment. The environment of TiO2–polymer composites can be altered by varying the pH of the medium, temperature, and ionic strength. Therefore, these parameters also affect the loading and release of drugs from the network of composites. Therefore, the release and loading of drugs is controlled by these parameters. For example, the network of composites is present in the swelling state at low temperatures due to stronger hydrophilic interactions than hydrophobic interactions. While at high temperatures, the hydrophobic interactions dominate over the hydrophilic interactions. Therefore, water molecules come out and the composites shift from the swelling state to the deswelling state. Similarly, the pH of the medium also affects the swelling and deswelling behavior. Under these conditions, the phenomenon of protonation and deprotonation occurs in the structure of composites. Swelling occurs if the same charge is present in the structure of composites (due to electrostatic repulsion). Acidic composites show swelling behavior under basic conditions, while basic composites show swelling behavior under acidic conditions due to same charges under both conditions. Greater loading of drugs in composites also releases more amounts of drugs during the release process. In this way, the composites can be made more efficient for drug delivery by optimizing the conditions.
5.2. Anticancer
TiO2–polymer composites exhibit potential in cancer treatment due to the delivery of anticancer drug. The incorporation of an anti-cancer drug into these TiO2–polymer composites allows controlled release upon targeted radiation application. This release mechanism is facilitated by the deswelling behavior of TiO2–polymer composites.146 Some thionyl bonds of DNA also break due to the oxidation–reduction reactions, which occur by the presence of TiO2 nanoparticles. The anti-cancer property of composites is even more in doped TiO2–polymer composites due to the decrease in the energy band gap (doped materials prevent the combination of electron and hole pairs).119 Therefore, composites provide an environment as a carrier for drug delivery as well as breaking the bonds of DNA molecules. The loaded drug is released at the target place by changing the temperature52 or pH (ref. 146) of the medium. These conditions control the swelling and deswelling behavior of composites. The release of anticancer drug is very important factor for treatment. Some amounts of drug can be spread over some healthy cells during rapid release and destroy them. Therefore, control releasing is a suitable condition for cancer treatment.
5.3. Antibacterial
Bacteria are the main source of diseases. Therefore, their killing is an essential condition for a healthy life. These bacteria are present everywhere. Therefore, they can easily enter our bodies and spread diseases. Different types of antibacterial agents can be used for their killing but the TiO2–polymer composite is very efficient and eco-friendly in nature. They kill different types of bacteria such as Escherichia coli (E. coli),72 Staphylococcus aureus (S. aureus),147 Candida albicans (C. albicans),134 and Pseudomonas aeruginosa (P. aeruginosa)25 from body.
TiO2–polymer composites exhibit efficient antibacterial activity. This antibacterial activity is mostly due to TiO2 particles.144 TiO2 nanoparticles have a low energy band. The electrons of TiO2 can easily jump from the valence band to the conduction band. In this way, TiO2 can facilitate the occurrence of oxidation–reduction reactions. These oxidation–reduction reactions kill the bacteria. The oxidation–reduction reactions of TiO2–polymer composite with the surface of bacteria depend upon TiO2 particles. Therefore, antibacterial activity of composites depends upon the content of TiO2 nanoparticles135 in composites and the approach of bacteria to the surface of TiO2 nanoparticles. Therefore, antibacterial activity of composites can be controlled by stimuli conditions as well as increasing the rate of jumping of electrons of TiO2 from the valence band to the conduction band by photons.140 The stimulus conditions convert the composites from the deswelling state to swelling and bacteria can easily reach TiO2 nanoparticles. In other wands, more content of TiO2 releases from the composite in swelling state. Therefore, the antibacterial activity of composites is greater in the swelling state than in the deswelling state. The presence of light facilitates jumping of the valence electrons from the valence band to the conduction band. Therefore, the antibacterial activity of composites is greater in the presence of sunlight than in the darkness. The synergistic effect of both TiO2 and polymers also affects the antibacterial performance of TPC.
5.4. Removal of pollutants via adsorption
TiO2 nanoparticles are studied as excellent adsorbents due to their sensitive surface reactivity,148 controlled size particles,149 textural features,150 and favorable zero-point-charge (pHpzc = 6.8–7.6).151 The pHzpc is the pH value at which no charge is present in the structure of TPC. These properties of TiO2 make them capable of interacting with pollutants. Therefore, TiO2 can act as an adsorbent for the removal of pollutants, as shown in Fig. 8. Similarly, crosslinked polymers can also be used as adsorbents for the removal of pollutants. The crosslinked organic structures have polar and non-polar moieties in their structures which make them suitable for adsorption due to electrostatic interaction.152 The composites of TiO2 particles and crosslinked organic polymers have both (TiO2 and organic polymers) characteristics which make the TPC as a perfect adsorbent. Therefore, the adsorptive property of TiO2 particles is further enhanced by making composites with crosslinked organic polymers.27 The adsorptive property of TiO2–polymer composites is greater than individuals of both TiO2 nanoparticles127 and crosslinked organic polymers.46 The adsorption of pollutants has occurred due to electrostatic, dipole–dipole, n–π interactions and hydrogen bonding which can be altered by varying the environment of medium,121,125 nature of adsorbent,3 and nature of adsorbents.34 The adsorptive property of TiO2–polymer composites can be enhanced with the help of the following factors, as shown in Fig. 9.
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| Fig. 8 Adsorption of pollutants by TPC. | |
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| Fig. 9 Effect of parameters on the adsorption of pollutants: (a) contact time, (b) temperature, (c) agitation speed, and (d) salt concentrations (reproduced from ref. 132 with permission from Elsevier, copyright 2016).132 | |
The adsorption capacity of TiO2–polymer composites is greatly influenced by the temperature of the surrounding environment.71,102 As discussed before, hydrophilic interactions are greater than hydrophobic interactions at low temperatures. The temperature above which the hydrodynamic radius of crosslinked polymers rapidly decreases is called volume phase transition temperature (VPTT). Therefore, the structures of composites are present in swelling state (at T ≤ VPTT). Therefore, more content of pollutants can adsorb on the surface of composites at T ≤ VPTT as reported by Zhou et al.102 Furthermore, hydrophilic interactions are weaker than hydrophobic interactions at high temperatures (at T ≥ VPTT). Therefore, the structures of composites are present in a deswelling state. Therefore, the area of available space is very low. Therefore, very small amounts of pollutant can adsorb on the surface of adsorbents. In conclusion, more pollutants are adsorbed by TiO2–polymer composites at T ≤ VPTT and less at T ≥ VPTT as shown in Fig. 9(b). Such behavior is observed only in those composites which have temperature-sensitive moieties in their structures. In the case of absence of temperature sensitive composites in structures, then the adsorption capacity increases with the increase in temperature due to increase in the number of collisions, as reported by Binaeian et al.21
The porosity of TiO2–polymer composites is also an important factor in adsorption capacity of adsorbents. If large porosity is present in the structure of adsorbents, then more empty space is available for capturing the adsorbate. While low space is available for capturing if porosity of adsorbents is low. Therefore, the adsorption capacity of TiO2–polymer composites can be enhanced by introducing more porosity. The porosity of organic polymers increases with the insertion of TiO2 into the structure of crosslinked organic polymers.139 Therefore, the adsorption capacity of composites is greater than crosslinked organic polymers, as reported by Barak et al.61 The porosity of composites depends on the content of TiO2 in composites. More porosity is present at high content of TiO2 and low at low content of TiO2. In simple words, the adsorption capacity of composites can be enhanced by increasing the content of TiO2 nanoparticles in composites as reported by Naserzade et al.27
The mobility of water molecules into and out of the structure of TiO2–polymer composites also plays a critical role in their adsorption capacity. This movement involves the entrance and outlet of pollutants across the crosslinked network of TiO2–polymer composites along with water molecules. Initially, pollutants adhere to the surface of the composites before penetrating the crosslinked network, leaving behind empty spaces that subsequent pollutant molecules occupy. Consequently, the adsorption capability of composites depends on this penetration of pollutants from the surface. Hence, the mobility in the structure of composites directly impacts their adsorption efficiency. This mobility is maximum at the swelling state of composite and diminishes by shifting from a swelling state to a deswelling state.39
In the swollen state, mobility occurs easily due to sufficient empty space within the structure of composites. Conversely, as the shifting from swelling state to a shrunken one, these available spaces decrease, resulting in restriction of pollutant mobility as reported by Samanta et al.70 Consequently, the adsorption capacity of composites declines. The adsorption capacity of TiO2–polymer composites is significantly influenced by the pH value of the solution. This factor plays a critical role in adsorption capacity of TiO2–polymer composites due to varying the structure of both the adsorbent and the adsorbate. The pH value at which no charge is present in the structure of composites is called pH at zero-point-charge (pHzpc). TiO2–polymer composites which have acidic (–COOH, –SO3H) groups in their structure are called acidic TiO2–polymer composites while those composites which have basic (–NH2, –NH–) groups are called basic TiO2–polymer composites. When the pH of the medium changes from pHzpc value, the structure of composites can accept or donate protons. Acidic composites donate protons from their structure at pH ≥ pHzpc, leading to the formation of anions while at pH ≤ pHzpc, the acidic composites accept their released protons from acidic medium and shift in the neutral forms. The anionic form (acidic composites in a basic medium (pH ≥ pHzpc)) of acidic composites exhibits a strong affinity for cationic pollutants due to strong electrostatic interactions developing from opposite charges while repel the anionic pollutants due to similar charges.126,145,153 Similarly, basic composites acquire positive charges within their structure by accepting protons at pH ≤ pHzpc and present donate the accepted proton from their structure at pH ≥ pHzpc.144 Therefore, basic composites in their cationic form interact with anionic pollutants because of the opposing charges present on both the adsorbent (basic composites) and adsorbate (pollutants) species. Consequently, the pH of the medium profoundly influences the interactions between adsorbate and absorbent species.
Similarly, the value of pH of the medium influences both the configuration and electronic distribution of pollutants. When the medium is basic, acidic dyes release their protons, while basic dyes receive protons under acidic conditions. Consequently, this alteration in the charge within the structure of pollutants leads to changes in electrostatic interactions between the composites and pollutants, as reported by Patel et al.153 Moreover, metal cations produce the insoluble metal hydroxides in a basic medium, thereby reducing the presence of metal cations in the medium.126 As a result, the adsorption efficiency of composites decreases for metal cations due to this phenomenon.
The adsorbed amount of pollutant can be increased with the increase in the contact time, as shown in Fig. 9(a). Initially, the adsorption process of pollutants on the composites increases rapidly due to a higher availability of functional groups on their surface for interaction with pollutants. However, after a certain period, the removal of pollutants by the composites begins to occur at a slower rate. This is due to the occupation of all active sites or functional groups of composites by pollutants, leaving no vacant sites for further adsorption. At this stage, the inner functional groups of composites interact with the adsorbed pollutants from the surface, facilitating the movement of pollutants towards the interior of the structure of composites through crosslinked networks. Consequently, the outer functional groups remain unoccupied, effectively halting further adsorption. This process follows the intraparticle diffusion mechanism, wherein pollutants diffuse within the structure of composites over time. Continuing onward, the extraction of pollutants gradually diminishes as the functional groups on the composites become saturated, reducing their capacity to adsorb additional pollutants. A stage comes at which the rate of adsorption on composites becomes equal to the rate of desorption of pollutants, as reported by Samanta et al.70 This stage is called equilibrium position.46
Agitation speed and concentrations of different salts are also influenced on the adsorption capacity of TPC, as shown in Fig. 9(c) and (d) respectively. When the speed of agitation increases resulting in more adsorption capacity initially due to the rapid approach of pollutants to the TPC surface. This adsorption efficiency decreases after a certain level of speed due to increase in the number of collisions which hinders the adsorption process. However, the effect of ionic salts is always decreasing the adsorption capacity of TPC. This is due to the interaction of metal cations with the structure of TPC. This interaction decreases the mobility of TPC by deswelling trends. This decreasing trend depends on the oxidation state of metal cations.132
5.5. Photocatalysis
Photocatalysis is an environmentally friendly and sustainable method which is used to disintegrate pollutants from water. This approach efficiently removes the pollutants from contaminated water without producing harmful byproducts.41 In this process, the composites entirely break down the pollutants or transform them into harmless materials. The efficiency of photocatalytic remediation depends on the photocatalyst employed in an advanced oxidative process. These catalysts absorb photons possessing energy equivalent to or greater than the band gap energy between the valence and conduction bands of the photocatalyst.
The absorption of photons triggers a separation of charges caused by jumping of electrons from the valence band to the conduction band. During this movement of electrons, positive holes are created in the valence band.143 These positive holes oxidize the water molecules to produce hydroxyl radicals (OH˙) or directly target contaminants. While the excited electrons in the conduction band reduce the adsorbed oxygen molecules from the surface of photocatalyst (TiO2–polymer composites). The resulting OH˙ (at valence band) free radicals interact the contaminants to initiate diverse reactions that convert pollutants into non-toxic or harmless forms or completely degrade them into H2O and CO2 by oxidation13 as shown in Fig. 10.
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| Fig. 10 Photocatalytic degradation mechanism. | |
In TiO2–polymer composites, TiO2 nanoparticles are the main catalysts which proceed this phenomenon of adsorption of light and then used for excitation of electrons from the valence to the conduction band. The resulting electron–hole pairs degrade or transform the pollutants into non- or less toxic molecules. The pairs of electrons and holes have strong tendency to recombine and thus impact the overall efficiency of photocatalysis.124 As a result, it becomes crucial to either control or reduce the recombination of these generated charge carriers to guarantee efficient photocatalytic reactions. The efficiency of TiO2–polymer composites for degradation/transformation of pollutants from wastewater depends on several factors as shown in Fig. 11. These factors are given below.
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| Fig. 11 Factors affecting the catalytic degradation efficiency of TPCs: (a) temperature, (b) pH in acidic TPCs, (c) mobility, (d) concentrations of metal cations and (e) pH in basic TPCs. | |
The rate of catalytic degradation of pollutants by TiO2–polymer composites can be tuned with varying the pH of the medium. The pHpzc value of TiO2 lies in the range of 6.8–7.6. This value can be changed by the influence of crosslinked structure of polymers due to interactions.39,132 The pH of the medium greatly affects the protonated and deprotonated structures of TPC. This behavior depends on the nature of crosslinked polymers whether it is acidic or basic as shown in Fig. 11(b) and (e) respectively. The acidic structures have –COOH,53 or –SO3H142 groups in their structure and basic have –NH2 (ref. 103) in their structures. The polymeric network of acidic composites donates their protons to the medium at pH ≥ pKa value of acidic composites and regains the released protons at pH ≤ pKa. At pH ≥ pKa, the acidic groups (–COOH, or –SO3H) are converted into deprotonated (–COO−, or –SO3−) forms. Under this condition, electrostatic repulsion occurs between the anionic structures of acidic composites due to same charges. Therefore, the hydrodynamic diameter of acidic composites increases. Therefore, the diffusion rate of pollutants increases across the crosslinked network to the surface of TiO2. Thus, the degradation rate increases at pH ≥ pKa value in acidic composites. While protonation occurred at pH ≤ pKa and hence, the electrostatic repulsion diminishes. Therefore, the hydrodynamic diameter of composites decreases. Therefore, the rate of diffusion also decreases pollutants, resulting in a decline in the degradation rate of pollutants by acidic composites. Furthermore, the basic composites gain the protons from medium at pH ≤ pKa and basic (–NH2) groups of basic composites are converted into cationic (–NH3+) forms. In this condition, electrostatic repulsion also occurs due to same changes and the hydrodynamic diameter of basic composites increases at pH ≤ pKa. Therefore, catalytic degradation also increases because of the high diffusion rate of pollutants. While deprotonations occur at pH ≥ pKa value and therefore, the hydrodynamic diameter decreases which causes the decline in catalytic efficiency of basic composites. The pH of medium also affects the structure of TiO2. TiO2 is present in neutral form as Ti–O–H at pH = 6.8. This value of TiO2 is called zero potential charge which is represented as pHzpc. TiO2 is present in Ti–OH2+ at pH ≤ 6.8 and in Ti–O− at pH ≥ 6.8 as reported by Gao et al.75
Content of TiO2 particles also affects the catalytic efficiency of TiO2–polymer composites. At high contents of TiO2 in composites, more active sites are available for catalysis. Therefore, more pollutants can be adsorbed under this condition. Thus, the degradation rate of pollutants by TiO2–polymer composites rises with the increase in the content if TiO2 in composite forms as reported by Wei et al.31 A similar trend for photocatalytic degradation of dye has been reported by Marija et al.53
Temperature also affects the catalytic performance of TiO2–polymer composites as shown in Fig. 11(a). The photocatalytic degradation of pollutants occurs when valence electrons jump from valence band to conduction band. Therefore, this jumping rate of electrons depends on the value of temperature (intensity of light). If the intensity of light is high (high temperature), then more electrons jump from valence band to conduction band. Therefore, more electrons and holes pairs are produced in this result. These electron–hole pairs more rapidly degraded the pollutants from water. Furthermore, a smaller number of electron–hole pairs are formed at low intensity of light. Therefore, photocatalytic performance also decreases at low intensity of light. The increasing trend of photocatalytic efficiency is under increasing the power of light is up to a specific level in certain solvents. Beyond this level, the solvents can produce bubbles which produce hindrance for waves in the process of sono-catalytic degradation reactions only. Therefore, the degradation performance of TPC can be decreased. Similar trends are observed by Afzal et al.13 The photocatalytic performance of TPC can be enhanced by using suitable light energy source. Generally, the photocatalytic activity of TPC is greater in sun light than other sources of energy as reported by Zhu et al.113
The recombination of electron–hole pairs decreases the catalytic efficiency of the TiO2–polymer composites. This recombination of electron–hole pairs is controlled by doping of TiO2 particles. This doping can be N-type or P-type. In P-type doping, cationic metal or three valence electrons containing atoms are added into the composites which further decreases the energy band gap of TiO2. Therefore, the valence electrons easily jump from valence to conduction bands. Thus, degradation rate of pollutants increased by P-type doping of TPC. Similarly, the photocatalytic performance of composites is also enhanced by N-type doping. In this doping, the atoms which have five electrons in their valence shell or electron rich species are added into the composites. This doping also decreases the energy band gap of TiO2 particles and hence, the photocatalytic activity increases due to easily jumping of electrons from valence to conduction bands. Liu et al.105 have also observed similar increasing trends in photocatalytic performance of TPC by adding Fe3+ ions (P-type doping). Galata et al.119 have also studied the photocatalytic performance of TPC by doping with N-type and P-type materials. They observed increasing trends by both types of doping but more increasing in N-type doping.
The photocatalytic performance of composites can also be tuned with porosity of composites (greater porosity means greater mobility) as shown in Fig. 11(c). The photocatalytic activity of polymer composites is high when the porosity of composites is greater. This porosity controls the adsorptions of pollutants and then these adsorbed pollutants penetrated from the surface of crosslinked polymer to the surface of TiO2 particles. Therefore, the porosity of composites controls the approach pollutants to the surface of TiO2 particles. In this way, the porosity of composites controls the photocatalytic activity of composites. The porosity of composites can be enhanced by increasing the content of TiO2,120 or by increasing the content of monomers154 or comonomers42,43 during the synthesis of composites.
The content of acidic,46 basic,141 and polar58 components in TiO2–polymer composites also influence the photocatalytic efficiency. These components affect due to interaction (attraction (in case of opposite charges) or repulsion (in case of same charges)) with pollutants. If the content of these components is at a greater level, then more contents of oppositely charged pollutants are adsorbed and therefore, more molecules of pollutants reach to the surface of TiO2 particles. Therefore, the efficiency of composites increased with the increase in the percentage of these components in composites.
The nature of pollutants75 and TiO2–polymer composites39 also influence the photocatalytic efficiency of composites. Basically, their nature affects the interaction present between the pollutants and TPC. If the same charges are present in the structures of both composites and pollutants, then electrostatic repulsion occurs and photocatalytic performance decreases. Furthermore, if opposite charges are present in both pollutants and composites, then electrostatic interactions force the pollutants to come on the surface of TiO2. Therefore, the efficiency of composites can be tuned with respect to the nature of organic polymer and pollutants. Song et al.112 have reported the effect of adsorbent and Sawut et al.58 have the effect of nature of TPC on photocatalytic performance.
The photocatalytic efficiency of composites can also be controlled in various solvents. These solvents also interact the composites as well as pollutants. Therefore, these interactions also influence the interactions of composites with pollutants. If the interactions of solvents are greater than the interactions present between composites and pollutants, then the approaches of pollutants to the surface of TiO2 particles reduce. Therefore, the photocatalytic efficiency of composites decreases. Pasaribu et al.94 have also observed the effect of solvents on photocatalytic performance of TPC under isopropanol, ethanol, and DMSO solvents. The swelling of TPC was obtained in aprotic solvents and less in protic solvents due to hydrogen bonding. This swelling behavior controls the mobility of pollutants and consequently the photocatalytic performance of TPC.
The photocatalytic efficiency of TPC can be influenced by introducing the metal salts during the photocatalysis, as shown in Fig. 11(d). The metal ions, which are added into the mixture during photocatalysis, basically affect the interaction present between TPC and pollutants. Generally, the metal cations decrease the interactions between TPC and pollutants due to string interactions of metal cations with TPC. Therefore, the possibility of pollutants reaching the surface of TiO2 particles decreases. Therefore, the catalytic efficiency of TPC decreases with the introduction of metal cations. The interaction of TPC is stronger with more metal cations having more oxidation states. Therefore, the photocatalytic activity is more significant with the introduction of higher oxidation state containing metal cations than lower oxidations containing. A similar trend has been reported by Patel et al.153 Similarly, the anionic parts of salts also affect the interactions between TPC and pollutants. These anionic components also trap the OH radicals which results to decreases the degradation rate of pollutants as reported by Afzal et al.13
5.6. Other applications
TiO2–polymer composites can also be employed in some other fields of research. For example, TiO2–polymer composites are used for the fabrication of clothes,24 engineering of tissues,60 selectively rejection of protein,155 detection of Fe3+ ions84 and high puncture resistant along with self-healing.156 The fabrication of clothes with TPC is a very important application. This application protects human health from diseases due to antibacterial and ultraviolet protection properties. These properties are basically due to the presence of TiO2 particles. TiO2 particles can absorb ultraviolet radiation and protect the human body from their hazardous effects. The engineering of tissue application of TPC is also very important. During the injury, the interactions which are essential for connection are disturbed. The TPC facilitates rejoining the parts or cells for healing as well as killing the bacteria. In this way, the TPC helps to heal the injuries as reported by Niranjan et al.33 and Motasadizadeh et al.40 This healing property is also very fruitful for punctures. The strong interaction resists breaking their components. Therefore, TPC shows high resistance against punctures. The selectivity of TPC for suitable species is also very important, which is generated with the help of the crosslinked network. The structure of polymer play an important role in this selectivity due to electrostatic repulsions on the basis of same charges and interactions on the basis of opposite charges as reported by Gao et al.155 The detection property of TPC also depends on the crosslinked network. This crosslinked network makes co-ordinate covalent bonds with metal ions. Due to this bond formation, the color of metal ions changes, which indicates the presence of corresponding metal ions.
6. Summary and future directions
Metal oxides and polymers are widely used in various applications. Their combined behavior opens new avenues in different fields. The composites of TiO2 and crosslinked organic polymers are very important with respect to their applications. In this review, TiO2–polymer composites are classified based on morphology and nature of crosslinker. The synthetic approaches used for the synthesis of TiO2–polymer composites are also discussed in detail. The morphology of these composites is very important with respect to their applications which are identified with various techniques as explained in this review article. TiO2–polymer composites have various applications but the most important are the antibacterial and removal of pollutants from water through both photocatalysis and adsorption processes. The TPC with covalent crosslinker has more advantage over TPC formed by H-bonding. The hydrogen bonding of TPC can also vanish under certain conditions. However, the TPC in which the crosslinker is covalently bonded is stable for a long time.
TiO2–polymer composites are more suitable materials for antibacterial activities, but the polymer systems which are used consist of mostly N-isopropylacrylamide which is a non-biodegradable material. Therefore, it is harmful to the health. This should be replaced with a biodegradable material which is non-toxic for health. This development opens new doors for their applications in medicine. The adsorption of pollutants greatly depends on the polymer materials. For this purpose, the polar monomers and comonomers are efficient for this purpose. The insertion of acidic (–COOH, –SO3H) and basic (–NH2) groups play a vital role in enhancing the adsorption and rejection of pollutants from water. Their performance increases even more with changing the pH of the medium. The adsorption performance is also effects by medium which is not reported yet. The mean challenge in the photocatalytic activity of TiO2–polymer composites is the electron–hole pair recombination. This issue of catalytic performance can be resolved by doping the TiO2 particles. Therefore, the doping materials decrease the energy band gap along with preventing the recombination of electrons and holes of TiO2 particles.
The reported morphology of TiO2–polymer composites is mostly homogenous microsphere. More work should be done on other morphologies such as core–shell and hollow systems. These morphologies are more effective with respect to homogenous microphase. However, synthesis and applications of such morphological composites are not reported in the literature. These classes open new avenues for research in TiO2–polymer composites. These core shell systems in which core is made with solid materials have more effective than homogenous composite microspheres due to easily recyclable property (due to more density). Similarly, the core–shell systems in which TiO2 nanoparticles are present as core are more effective due to controlling the leakage of TiO2 nanoparticles during recycling than homogenous composites microspheres. Furthermore, hollow composites are also more effective than homogenous composites with respect to adsorption and photocatalytic degradation/transformation reactions of pollutants. In hollow spheres, the pollutants can enter the crosslinked network of composites from both sides (interior and exterior sides). Therefore, the pollutants can easily be approached to the TiO2 nanoparticles present in the hollow composite spheres. As a result, the photocatalytic activity and adsorption of pollutants of hollow composites should be greater than other morphologies. Hollow composites can also be more suitable in drug delivery due to maximum releasing of loaded drug. Other systems partially released the loaded drug, but hollow systems should be released greater loaded amount through both sides (interior and exterior sides).
Abbreviations
AAc | Acrylic acid |
NIPAM | N-Isopropylacrylamide |
SoA | Sodium alginate |
NPs | Nanoparticles |
P(Q-10) | Polyquaternium-10 |
AAm | Acrylamide |
DMAAm | N,N′-Dimethylacrylamide |
GG | Gum ghatti |
P(VA) | Poly(vinyl alcohol) |
DLS | Dynamic light scattering |
CS | Chitosan |
P(EOAAm) | Ethylene oxide-polyacrylamide |
EDX | Energy dispersive X-rays |
KCG | K-Carrageenan |
FTIR | Fourier Transformed Infrared Spectroscopy |
XG | Xanthan gum |
HRTEM | High resolution transmission electron microscopy |
GeG | Gellan gum |
VP | Vinyl pyrrolidone |
PoA | Potassium acrylate |
HPMC | Hydroxypropyl methylcellulose |
NMBA | N,N′-Methylene-bisacrylamide |
AmPS | Ammonium persulfate |
AMPS | 2-Acrylamido-2-methylpropane sulphonic acid |
HEMA | 2-Hydroxyethyl methacrylate |
IA | Itaconic acid |
TPC | TiO2–polymer composites |
SEM | Scanning electron microscopy |
MAAn | Methacrylic anhydride |
EGDA | Ethylene-glycol-diacrylate |
MAAc | Methacrylic acid |
TGA | Thermo gravimetric analysis |
NTMEDA | N,N,N′,N′-Tetramethylenethylendiamince |
GX | Glyoxal |
UV-vis | UV/visible spectroscopy |
VPTT | Volume phase transition temperature |
GO-P(NDMAAm) | Graphene oxide-poly(N,N′-dimethylacrylamide) |
XPS | X-ray photoelectron spectroscopy |
PoPS | Potassium persulfate |
XRD | X-ray diffraction |
ICP-AES | Inductively coupled plasma-atomic emission spectroscopy |
Data availability
Data will be provided on request.
Conflicts of interest
There is no conflict of interest.
Acknowledgements
Muhammad Arif is thankful to University of Management and Technology, Lahore-54770, Pakistan.
References
- R. Reddy Nagavally, Composite Materials-History, Types, Fabrication Techniques, Advantages, and Applications, 2016 Search PubMed .
- M. F. Ashby, Acta Metall. Mater., 1993, 41, 1313–1335 Search PubMed .
- S. Marouch, N. Benbellat, A. Duran and E. Yilmaz, ACS Omega, 2022, 7, 35256–35268 Search PubMed .
- M. Arif, Mater. Today Commun., 2023, 36, 106580 CrossRef CAS .
- H. Zhang, P. Tang, K. Yang, Q. Wang, W. Feng and Y. Tang, Desalination, 2023, 558, 116620 CrossRef CAS .
- M. Arif, A. Rauf, H. Raza, S. Ben Moussa, S. M. Haroon, A. Y. A. Alzahrani and T. Akhter, Int. J. Biol. Macromol., 2024, 275, 133633 Search PubMed .
- M. Arif, A. Rauf and T. Akhter, Int. J. Biol. Macromol., 2024, 274, 133250 Search PubMed .
- M. Arif, H. Raza, S. M. Haroon, S. Ben Moussa, F. Tahir and A. Y. A. Alzahrani, Int. J. Biol. Macromol., 2024, 270, 132331 CrossRef CAS PubMed .
- M. Arif, J. Environ. Chem. Eng., 2023, 11, 109270 Search PubMed .
- M. Arif, M. Shahid, A. Irfan, J. Nisar, X. Wang, N. Batool, M. Ali, Z. H. Farooqi and R. Begum, Z. Phys. Chem., 2022, 236, 1219–1241 Search PubMed .
- M. Arif, M. Shahid, A. Irfan, J. Nisar, W. Wu, Z. H. Farooqi and R. Begum, RSC Adv., 2022, 12, 5105–5117 RSC .
- M. Arif, J. Mol. Liq., 2023, 375, 121346 CrossRef CAS .
- M. Z. Afzal, P. Zu, C. M. Zhang, J. Guan, C. Song, X. F. Sun and S. G. Wang, J. Hazard. Mater., 2022, 434, 128879 CrossRef CAS PubMed .
- M. Arif, RSC Adv., 2023, 13, 3008–3019 Search PubMed .
- M. Arif, J. Mol. Liq., 2024, 403, 124869 CrossRef CAS .
- M. Arif, JOM, 2024, 76, 1203–1222 CrossRef CAS .
- M. Arif, Eur. Polym. J., 2024, 206, 112803 CrossRef CAS .
- M. Arif, H. Raza and T. Akhter, RSC Adv., 2024, 14, 24604–24630 RSC .
- M. Arif, A. Rauf and T. Akhter, RSC Adv., 2024, 14, 19381–19399 Search PubMed .
- M. Arif, RSC Adv., 2024, 14, 9445–9471 RSC .
- E. Binaeian, S. Babaee Zadvarzi and D. Yuan, Int. J. Biol. Macromol., 2020, 162, 150–162 Search PubMed .
- M. Arif, RSC Adv., 2022, 12(24), 15447–15460 RSC .
- H. Zhang, R. Shi, A. Xie, J. Li, L. Chen, P. Chen, S. Li, F. Huang and Y. Shen, ACS Appl. Mater. Interfaces, 2013, 5, 12317–12322 Search PubMed .
- A. L. Mohamed and A. G. Hassabo, J. Polym. Res., 2022, 29, 1–18 CrossRef .
- A. S. Montaser, A. R. Wassel and O. N. Al-Shaye’a, Int. J. Biol. Macromol., 2019, 124, 802–809 Search PubMed .
- R. R. Mansurov, V. S. Zverev and A. P. Safronov, J. Catal., 2022, 406, 9–18 Search PubMed .
- S. M. Naserzade, M. Shahrousvand, J. Mohammadi-Rovshandeh and H. Basati, J. Polym. Environ., 2023, 31, 2014–2031 Search PubMed .
- M. Madani, N. Sharifi-Sanjani, A. Hasan-Kaviar, M. Choghazardi, R. Faridi-Majidi and A. S. Hamouda, Polym. Eng. Sci., 2013, 53, 2407–2412 Search PubMed .
- A. Taniguchi and M. Cakmak, Polymer, 2004, 45, 6647–6654 Search PubMed .
- S. Thakur and O. Arotiba, Adsorpt. Sci. Technol., 2018, 36, 458–477 Search PubMed .
- S. Wei, X. Zhang, K. Zhao, Y. Fu, Z. Li, B. Lin and J. Wei, Polym. Compos., 2016, 37, 1292–1301 Search PubMed .
- H. Zhang, J. Zhu, Y. Hu, A. Chen, L. Zhou, H. Gao, Y. Liu and S. Liu, J. Nanomater., 2019, 2019(1), 2326042 Search PubMed .
- R. Niranjan, M. Kaushik, R. T. Selvi, J. Prakash, K. S. Venkataprasanna, D. Prema, B. Pannerselvam and G. D. Venkatasubbu, Int. J. Biol. Macromol., 2019, 138, 704–717 CrossRef CAS PubMed .
- M. Lučić, N. Milosavljević, M. Radetić, Z. Šaponjić, M. Radoičić and M. K. Krušić, Sep. Purif. Technol., 2014, 122, 206–216 Search PubMed .
- R. El Kaim Billah, A. Shekhawat, S. Mansouri, H. Majdoubi, M. Agunaou, A. Soufiane and R. Jugade, Environ. Nanotechnol. Monit. Manag., 2022, 18, 100695 CAS .
- A. M. Aljeboree, N. D. Radia, L. S. Jasim, A. A. Alwarthan, M. M. Khadhim, A. Washeel Salman and A. F. Alkaim, J. Ind. Eng. Chem., 2022, 109, 475–485 CrossRef CAS .
- M. Çapkın Yurtsever and G. Güldağ, J. Mech. Behav. Biomed. Mater., 2023, 146, 106088 CrossRef PubMed .
- C. A. Coutinho, R. K. Harrinauth and V. K. Gupta, Colloids Surf. A Physicochem. Eng. Asp., 2008, 318, 111–121 CrossRef CAS .
- T. D. Kusworo, M. Yulfarida, A. C. Kumoro and D. P. Utomo, Chin. J. Chem. Eng., 2023, 55, 123–136 Search PubMed .
- H. Motasadizadeh, S. Azizi, A. Shaabani, M. G. Sarvestani, R. Sedghi and R. Dinarvand, Carbohydr. Polym., 2022, 296, 119956 CrossRef CAS PubMed .
- L. Midya, A. N. Sarkar, R. Das, A. Maity and S. Pal, Int. J. Biol. Macromol., 2020, 164, 3676–3686 CrossRef CAS PubMed .
- Y. E. Moon, G. Jung, J. Yun and H. Il Kim, Mater. Sci. Eng. B, 2013, 178, 1097–1103 Search PubMed .
- S. Jeon, J. Yun, Y. S. Lee and H. Il Kim, J. Ind. Eng. Chem., 2012, 18, 487–491 CrossRef CAS .
- H. Si, L. Zhou, Y. Wu, L. Song, M. Kang, X. Zhao and M. Chen, Compos. B Eng., 2020, 199, 108278 CrossRef CAS .
- A. H. Jawad and M. A. Nawi, Carbohydr. Polym., 2012, 90, 87–94 Search PubMed .
- A. M. Elbarbary and Y. H. Gad, Int. J. Environ. Anal. Chem., 2023 DOI:10.1080/03067319.2023.2198646 .
- C. Xiao, Y. Fang and G. Zhang, Polym. Compos., 2017, 38, 132–137 CrossRef CAS .
- M. Arif, Z. H. Farooqi, A. Irfan and R. Begum, J. Mol. Liq., 2021, 336, 116270 CrossRef CAS .
- K. Naseem, R. Begum and Z. H. Farooqi, Polym. Compos., 2018, 39, 2167–2180 CrossRef CAS .
- M. Arif, Polymers, 2023, 15, 3600 Search PubMed .
- M. Shahid, Z. H. Farooqi, R. Begum, M. Arif, M. Azam, A. Irfan and U. Farooq, Z. Phys. Chem., 2022, 236, 87–105 Search PubMed .
- S. Xu, Z. Qian, N. Zhao and W. Yuan, J. Colloid Interface Sci., 2024, 654, 1431–1446 CrossRef CAS PubMed .
- L. Marija, M. Nedeljko, R. Maja, Š. Zoran, R. Marija and K. K. Melina, Polym. Compos., 2014, 35, 806–815 CrossRef CAS .
- M. N. Birkholz, G. Agrawal, C. Bergmann, R. Schröder, S. J. Lechner, A. Pich and H. Fischer, Biomed. Tech., 2016, 61, 267–279 Search PubMed .
- C. Vakifahmetoglu, D. Zeydanli and P. Colombo, Mater. Sci. Eng. R Rep., 2016, 106, 1–30 CrossRef .
- K. Kulbaba, A. Cheng, A. Bartole, S. Greenberg, R. Resendes, N. Coombs, A. Safa-Sefat, J. E. Greedan, H. D. H. Stöver, G. A. Ozin and I. Manners, J. Am. Chem. Soc., 2002, 124, 12522–12534 CrossRef CAS PubMed .
- M. Ranjbar-Mohammadi, M. Rahimdokht and E. Pajootan, Int. J. Biol. Macromol., 2019, 134, 967–975 CrossRef CAS PubMed .
- A. Sawut, T. Wu, R. Simayi, T. Wu, X. Gong and Z. Wang, Colloids Surf., A, 2023, 678, 132531 CrossRef CAS .
- J. Wen, X. Li, H. Zhang, S. Zheng, C. Yi, L. Yang and J. Shi, Sep. Purif. Technol., 2023, 304, 122403 Search PubMed .
- K. Zazakowny, J. Lewandowska-Łańcucka, J. Mastalska-Popławska, K. Kamiński, A. Kusior, M. Radecka and M. Nowakowska, Colloids Surf., B, 2016, 148, 607–614 CrossRef CAS PubMed .
- A. Barak, Y. Goel, R. Kumar and S. K. Shukla, Mater. Today: Proc., 2019, 12, 529–535 Search PubMed .
- S. K. Samanta, B. Mandal and T. Tripathy, J. Appl. Polym. Sci., 2022, 139, e52465 CrossRef CAS .
- M. R. Mohammadi, M. C. Cordero-Cabrera, D. J. Fray and M. Ghorbani, Sens. Actuators, B, 2006, 120, 86–95 CrossRef CAS .
- D. M. González-García, L. Téllez Jurado, R. Jiménez-Gallegos and L. M. Rodríguez-Lorenzo, Mater. Sci. Eng., C, 2017, 75, 375–384 CrossRef PubMed .
- S. Banerjee, D. D. Dionysiou and S. C. Pillai, Appl. Catal., B, 2015, 176–177, 396–428 CrossRef CAS .
- W. Zhou, F. Sun, K. Pan, G. Tian, B. Jiang, Z. Ren, C. Tian and H. Fu, Adv. Funct. Mater., 2011, 21, 1922–1930 CrossRef CAS .
- S. Khalilian, S. Abdolmohammadi and F. Nematolahi, Lett. Org. Chem., 2017, 14(5), 361–367 CrossRef CAS .
- S. min Chang and W. szu Liu, Appl. Catal., B, 2011, 101, 333–342 CrossRef .
- M. R. Khafaga, H. E. Ali and A. W. M. El-Naggar, J. Text. Inst., 2016, 107, 766–773 CrossRef CAS .
- S. K. Samanta, B. Mandal and T. Tripathy, J. Appl. Polym. Sci., 2022, 139, e52465 CrossRef CAS .
- E. Makhado, B. R. Motshabi, D. Allouss, K. E. Ramohlola, K. D. Modibane, M. J. Hato, R. M. Jugade, F. Shaik and S. Pandey, Chemosphere, 2022, 306, 135524 CrossRef CAS PubMed .
- J. Radwan-Pragłowska, M. Piątkowski, Ł. Janus, D. Bogdał, D. Matysek and V. Čablik, Int. J. Polym. Mater. Polym. Biomater., 2019, 68, 881–890 Search PubMed .
- E. P. Da Silva, M. R. Guilherme, F. P. Garcia, C. V. Nakamura, L. Cardozo-Filho, C. G. Alonso, A. F. Rubira and M. H. Kunita, RSC Adv., 2016, 6, 19060–19068 Search PubMed .
- Z. Zhang, Y. M. Katba Bader, J. Yang and L. A. Lucia, J. Mol. Liq., 2021, 328, 115332 Search PubMed .
- Y. Gao, S. Gu, L. Duan, Y. Wang and G. Gao, Soft Matter, 2019, 15, 3897–3905 Search PubMed .
- C. A. Coutinho, R. K. Harrinauth and V. K. Gupta, Colloids Surf., A, 2008, 318, 111–121 Search PubMed .
- C. C. Oey, A. B. Djurišić, H. Wang, K. K. Y. Man, W. K. Chan, M. H. Xie, Y. H. Leung, A. Pandey, J. M. Nunzi and P. C. Chui, Nanotechnology, 2006, 17, 706 CrossRef CAS .
- J. Qiu, S. Zhang and H. Zhao, Sens. Actuators, B, 2011, 160, 875–890 CrossRef CAS .
- G. Gülşen and M. Naci Inci, Opt. Mater., 2002, 18, 373–381 Search PubMed .
- H. Choi, S. R. Al-Abed, D. D. Dionysiou, E. Stathatos and P. Lianos, Sustainability Science and Engineering, 2010, 2, 229–254 Search PubMed .
- Y. Yue, X. Wang, Q. Wu, J. Han and J. Jiang, J. Colloid Interface Sci., 2020, 564, 99–112 CrossRef CAS PubMed .
- M. R. Khafaga, H. E. Ali and A. W. M. El-Naggar, J. Text. Inst., 2016, 107, 766–773 CrossRef CAS .
- G. Taşkın Çakıcı, Polym. Bull., 2023, 80, 12719–12740 CrossRef .
- S. Turk, B. Ãœnlü and M. S. Mustapa, International Journal of Integrated Engineering, 2021, 13, 266–273 CrossRef .
- C. Cazan, A. Enesca, L. Isac, L. Andronic and M. Cosnita, ACS Appl. Polym. Mater., 2023, 5, 3958–3970 CrossRef CAS .
- H. Zhang, H. Yang, B. Shentu, S. Chen and M. Chen, J. Appl. Polym. Sci., 2018, 135, 46099 CrossRef .
- M. Liao, Z. Liu, Y. Gao, L. Liu and S. Xiang, Constr. Build. Mater., 2021, 301, 124108 CrossRef CAS .
- A. Ayati, A. Ahmadpour, F. F. Bamoharram, B. Tanhaei, M. Mänttäri and M. Sillanpää, Chemosphere, 2014, 107, 163–174 CrossRef CAS PubMed .
- S. M. Gupta and M. Tripathi, Cent. Eur. J. Chem., 2012, 10, 279–294 CAS .
- P. C. Chen, C. C. Chen and S. H. Chen, Curr. Nanosci., 2017, 13(4), 373–393 Search PubMed .
- M. Karg, A. Pich, T. Hellweg, T. Hoare, L. A. Lyon, J. J. Crassous, D. Suzuki, R. A. Gumerov, S. Schneider, I. I. Potemkin and W. Richtering, Langmuir, 2019, 35, 6231–6255 CrossRef CAS PubMed .
- G. Agrawal and R. Agrawal, Small, 2018, 14, 1801724 CrossRef PubMed .
- R. Begum, Z. H. Farooqi, E. Ahmed, A. Sharif, W. Wu and A. Irfan, RSC Adv., 2019, 9, 13838–13854 RSC .
- S. P. Pasaribu, I. Masmur and A. S. Panggabean, Mater. Chem. Phys., 2023, 305, 127875 CrossRef CAS .
- D. Wang, Y. Tan, H. Xu, X. Wang, L. Yu, Z. Xiao, J. Wang and S. Xu, Appl. Surf. Sci., 2019, 467–468, 588–595 CrossRef CAS .
- S. Si, R. Zhou, Z. Xing, H. Xu, Y. Cai and Q. Zhang, Fibers Polym., 2013, 14, 982–989 CrossRef CAS .
- S. Senol and E. Akyol, Mater. Sci.-Pol., 2021, 38, 443–449 Search PubMed .
- H. Ritonga, M. I. Basri, F. S. Rembon, L. O. A. Nur Ramadhan and M. Nurdin, Soil Sci. Annu., 2020, 71, 194–204 Search PubMed .
- Synthesis and Characterization of Nano-TiO2/Poly(N-isopropylacrylamide) Com-posite Hydrogels, http://sioc-journal.cn/Jwk_hxxb/EN/Y2007/V65/I21/2437, accessed 9 January 2024 Search PubMed.
- M. Mostakhdemin, A. Nand, M. Arjmandi and M. Ramezani, Mater. Today Commun., 2020, 25, 101279 Search PubMed .
- C. Boztepe, M. Daskin, A. Erdogan and T. Sarici, Polym. Eng. Sci., 2021, 61, 2083–2096 CrossRef CAS .
- J. Zhou, B. Hao, L. Wang, J. Ma and W. Cheng, Sep. Purif. Technol., 2017, 176, 193–199 CrossRef CAS .
- J. Yun, D. Jin, Y. S. Lee and H. Il Kim, Mater. Lett., 2010, 64, 2431–2434 CrossRef CAS .
- M. M. Babić Radić, V. V. Filipović, J. S. Vuković, M. Vukomanović, T. Ilic-Tomic, J. Nikodinovic-Runic and S. L. Tomić, Polymers, 2023, 15(7), 1643 Search PubMed .
- Y. G. Liu, X. J. Hu, H. Wang, A. W. Chen, S. M. Liu, Y. M. Guo, Y. He, X. Hu, J. Li, S. H. Liu, Y. Q. Wang and L. Zhou, Chem. Eng. J., 2013, 226, 131–138 Search PubMed .
- L. Zhang, S. Zhang, B. He, Z. Wu and Z. Zhang, Z. Naturforsch. B Chem. Sci., 2008, 63, 973–976 CrossRef CAS .
- X. You, H. Huang, R. Zhang, Z. Yang, M. Xu, X. Wang and Y. Yao, Catalysts, 2021, 11, 613 Search PubMed .
- W. Kangwansupamonkon, W. Jitbunpot and S. Kiatkamjornwong, Polym. Degrad. Stab., 2010, 95, 1894–1902 CrossRef CAS .
- D. Gao, X. Wei, Y. Zhang, Y. Ma, G. Wang, X. Zhao, K. Liu, Y. Huo, H. Wang and B. Wang, J. Dispersion Sci. Technol., 2021, 42, 537–545 CrossRef CAS .
- H. M. Nizam El-Din, M. R. Khafaga and A. W. M. El-Naggar, J. Macromol. Sci., Part A: Pure Appl. Chem., 2015, 52, 821–829 CrossRef CAS .
- B. Xu, H. Li, Y. Wang, G. Zhang and Q. Zhang, RSC Adv., 2013, 3, 7233–7236 Search PubMed .
- X. F. Song, J. T. Qin, T. T. Li, G. Liu, X. X. Xia, Y. S. Li and Y. Liu, J. Appl. Polym. Sci., 2020, 137(13), 48516 Search PubMed .
- H. Zhu, R. Jiang, L. Xiao, L. Liu, C. Cao and G. Zeng, Appl. Surf. Sci., 2013, 273, 661–669 CrossRef CAS .
- F. O. Gokmen, S. Temel and E. Yaman, Eur. Sci. J., 2019, 15(33), 1857–7881 Search PubMed .
- R. Kandel, S. R. Jang, S. Shrestha, S. Y. Lee, B. K. Shrestha, C. H. Park and C. sang Kim, ACS Appl. Mater. Interfaces, 2021, 13, 47100–47117 CrossRef CAS PubMed .
- L. Cui, H. Li, J. Huang and D. Xiong, Ceram. Int., 2021, 47, 34970–34978 CrossRef CAS .
- M. Li, L. Gao, J. Chen, Y. Zhang, J. Wang, X. Lu, K. Duan, J. Weng and B. Feng, Biomed. Mater., 2018, 13(4), 045008 CrossRef PubMed .
- L. Ye, C. Miao, M. A. Brook and R. Pelton, Langmuir, 2008, 24, 9341–9343 CrossRef CAS PubMed .
- E. Galata, E. A. Georgakopoulou, M. E. Kassalia, N. Papadopoulou-Fermeli and E. A. Pavlatou, Materials, 2019, 12(16), 2589 CrossRef CAS PubMed .
- H. A. Abd El-Rehim, E. S. A. Hegazy and D. A. Diaa, React. Funct. Polym., 2012, 72, 823–831 CrossRef CAS .
- M. Lučić Škorić, I. Terzić, N. Milosavljević, M. Radetić, Z. Šaponjić, M. Radoičić and M. Kalagasidis Krušić, Eur. Polym. J., 2016, 82, 57–70 CrossRef .
- S. Mallakpour and M. Hatami, Appl. Clay Sci., 2018, 163, 235–248 CrossRef CAS .
- R. El Kaim Billah, A. Shekhawat, S. Mansouri, H. Majdoubi, M. Agunaou, A. Soufiane and R. Jugade, Environ. Nanotechnol. Monit. Manag., 2022, 18, 100695 CAS .
- F. Kazemi, Z. Mohamadnia, B. Kaboudin and Z. Karimi, J. Appl. Polym. Sci., 2016, 133(19), 43386 CrossRef .
- A. K. T. Mohammad, A. S. Abdulhameed and A. H. Jawad, Int. J. Biol. Macromol., 2019, 129, 98–109 Search PubMed .
- A. A. Hendy, E. E. Khozemy, G. A. Mahmoud, E. A. Saad and S. H. Sorror, Egypt. J. Chem., 2019, 62, 1785–1798 Search PubMed .
- Y. Y. Wei, X. T. Sun and Z. R. Xu, Appl. Surf. Sci., 2018, 445, 437–444 Search PubMed .
- D. Wu, M. Yi, H. Duan, J. Xu and Q. Wang, Carbon, 2016, 108, 394–403 Search PubMed .
- X. Wang, X. Li, X. Yang, K. Lei and L. Wang, Colloids Surf., B, 2021, 197, 111410 CrossRef CAS PubMed .
- B. Xu, H. Li, Y. Wang, G. Zhang and Q. Zhang, Polym. Compos., 2016, 37, 810–817 CrossRef CAS .
- X. Wang, D. Hu and J. Yang, Chem. Mater., 2007, 19, 2610–2621 Search PubMed .
- H. Mittal and S. S. Ray, Int. J. Biol. Macromol., 2016, 88, 66–80 CrossRef CAS PubMed .
- F. Khalid, A. S. Roy, A. Parveen and R. Castro-Muñoz, J. Mater. Sci. Eng. B, 2024, 299, 116929 CrossRef CAS .
- F. I. A. El Fadl, D. E. Hegazy, N. A. Maziad and M. M. Ghobashy, Int. J. Biol. Macromol., 2023, 250, 126248 CrossRef CAS PubMed .
- R. Balasubramanian, S. S. Kim, J. Lee and J. Lee, Int. J. Biol. Macromol., 2019, 123, 1020–1027 CrossRef CAS PubMed .
- R. Surkatti, M. M. C. M. van Loosdrecht, I. A. Hussein and M. H. El-Naas, DOI:10.2139/SSRN.4570278.
- C. A. Coutinho and V. K. Gupta, J. Colloid Interface Sci., 2007, 315, 116–122 CrossRef CAS PubMed .
- M. Todica, T. Stefan, D. Trandafir and S. Simon, Cent. Eur. J. Phys., 2013, 11, 928–935 CAS .
- S. Temel, E. Yaman and F. O. Gökmen, AIP Conf. Proc., 2018, 2042(1) DOI:10.1063/1.5078935/773398 .
- Y. S. Li, Y. Han, J. T. Qin, Z. Y. Song, H. H. Cai, J. F. Du, S. F. Sun and Y. Liu, J. Appl. Polym. Sci., 2016, 133, 44150 CrossRef .
- R. R. Mansurov, I. A. Pavlova and A. P. Safronov, ChemistrySelect, 2022, 7(47), e202202775 CrossRef CAS .
- B. Ari, S. B. Sengel and N. Sahiner, SPE Polym., 2021, 2, 97–109 CrossRef CAS .
- J. Yun, J. S. Im, A. Oh, D. H. Jin, T. S. Bae, Y. S. Lee and H. Il Kim, J. Mater. Sci. Eng. B, 2011, 176, 276–281 CrossRef CAS .
- C. Su, A. K. Berekute and K. P. Yu, Sustainable Environ. Res., 2022, 32, 1–15 CrossRef .
- S. Banivaheb, S. Dan, H. Hashemipour and M. Kalantari, J. Saudi Chem. Soc., 2021, 25, 101283 CrossRef CAS .
- M. M. Eshaghi, M. Pourmadadi, A. Rahdar and A. M. Díez-Pascual, J. Drug Delivery Sci. Technol., 2023, 81, 104304 CrossRef CAS .
- S. Mallakpour and N. Mohammadi, Carbohydr. Polym., 2022, 285, 119226 CrossRef CAS PubMed .
- Y. Guo, S. Chen, Y. Yu, H. Tian, Y. Zhao, J. C. Ren, C. Huang, H. Bian, M. Huang, L. An, Y. Li and R. Zhang, J. Am. Chem. Soc., 2019, 141, 8407–8411 CrossRef CAS PubMed .
- M. Pal, J. G. Serrano, P. Santiago and U. Pal, J. Phys. Chem. C, 2006, 111, 96–102 CrossRef .
- Y. Ding, I. S. Yang, Z. Li, X. Xia, W. I. Lee, S. Dai, D. W. Bahnemann and J. H. Pan, Prog. Mater. Sci., 2020, 109, 100620 CrossRef CAS .
- Y. Nur, J. R. Lead and M. Baalousha, Sci. Total Environ., 2015, 535, 45–53 CrossRef CAS PubMed .
- M. Shahid, Z. H. Farooqi, R. Begum, M. Arif, A. Irfan and M. Azam, Chem. Phys. Lett., 2020, 754, 137645 Search PubMed .
- P. Patel, P. Gangwar and P. Thareja, J. Vinyl Addit. Technol., 2023, 29, 773–794 CrossRef CAS .
- R. Mansurov, I. Pavlova, P. Shabadrov, A. Levchenko, A. Krinochkin, D. Kopchuk, I. Nikonov, A. Prokofyeva, A. Safronov and K. Grzhegorzhevskii, Inorganics, 2023, 11, 92 CrossRef CAS .
- N. Gao, W. Xie, L. Xu, Q. Xin, J. Gao, J. Shi, J. Zhong, W. Shi, H. Wang, K. Zhao and L. Lin, Int. J. Biol. Macromol., 2023, 253, 126367 CrossRef CAS PubMed .
- X. Han, J. H. Lin, X. Y. Zhang, H. K. Peng, L. Y. Liu, L. Zhang, C. W. Lou, B. C. Shiu and T. T. Li, Composites, Part A, 2024, 176, 107858 CrossRef CAS .
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