Abstract
Clean water scarcity is becoming an increasingly important worldwide issue. The water treatment industry is demanding the development of novel effective materials. Defect engineering in nanoparticles is among the most revolutionary of technologies. Because of their high surface area, structural diversity, and tailorable ability, Metal‒Organic Frameworks (MOFs) can be used for a variety of purposes including separation, storage, sensing, drug delivery, and many other issues. The application in wastewater treatment associated with water stable MOF‒based materials has been an emerging research topic in recent decades. Defect engineering is a sophisticated technique used to manufacture defects and to change the geometric framework of target compounds. Since MOFs have a series of designable structures and active sites, tailoring properties in MOFs by defect engineering is a novel concept. Defect engineering can excavate hidden active sites in MOFs, which can lead to better performance in many fields. Therefore, this technology will open new opportunities in water purification processes. However, there has been little effort to comprehensively discuss this topic. In this review, we provide an overview of the development of defect engineered MOFs for water purification processes. Furthermore, we discuss the potential applications of defect engineered materials.
Introduction
The water contaminant elimination process has aroused great attention in recent years (Ali et al., 2012; Bu et al., 2013; Yang et al., 2017). Because of this, the water treatment industry, which is expected to be worth more than $38 billion by 2025, is looking for new solutions. Here, nanotechnology will open new ground and transform how water is purified (Al-Khateeb et al., 2014; Zhang et al., 2016; Zhao et al., 2016; Oyetade et al., 2018). In order to improve the performance of existing MOFs materials (e.g. UiO‒66, MIL‒100, MIL‒101, MOF‒74, and ZIF‒8), we must think about the question of whether a given framework is performing at its fullest capacity. One of the problems is that many unexploited volumes within the MOFs are inaccessible for some guest compounds (Tsao et al., 2009; Cliffe et al., 2014; Fang et al., 2014). In order to solve this problem, researchers should aim to open the active sites inside the MOFs. One possible approach to achieve this purpose is defect engineering (Maes et al., 2011; Vermoortele et al., 2012a). Defect engineering is a sophisticated technique to manufacture defects and to change the chemical environment of target compounds (Kitagawa et al., 2004; Bonelli et al., 2007; Zhou and Kitagawa, 2014). If the defect structure can be created in a controlled manner and precisely characterized, it can be applied to improve the performance of adsorption and catalysis processes. As a result, this modification can improve the water purification performance. MOFs are a class of compounds consisting of metal ions or clusters coordinated to organic ligands (Rowsell and Yaghi, 2004; Férey, 2008; Furukawa et al., 2013). These organic‒inorganic hybrid crystalline porous materials consist of a regular array of positively charged metal ions surrounded by organic linkers (Zhou et al., 2012; Gangu et al., 2016). Nowadays, the applications of MOFs can be found in several areas including gas separation (Car et al., 2006; Perez et al., 2009; Li et al., 2012; Syrtsova et al., 2012; Wang and Lai, 2013; Liu et al., 2019), energy storage (Lee et al., 2012; Bon, 2017; Wang et al., 2017; Xu et al., 2017), sensing (Zhu et al., 2013; Kumar et al., 2015; Hu et al., 2020; Li et al., 2020; Ma et al., 2020; Chakraborty et al., 2021), and many others (Hasan et al., 2012; Seo et al., 2016; Barpaga et al., 2019; Gwon et al., 2020). There has been an increasing amount of research focusing on the water purification process (Ragab et al., 2016; He et al., 2017; Kadhom and Deng, 2018; Kumar et al., 2018; Wang et al. 2020). Several water pollutants (e.g., heavy metal ions (Fu and Wang, 2011; Al-Rashdi et al., 2013; Abdulla et al., 2019), organic pesticides (Tamara et al., 2005; Michael et al., 2006), toxic chemicals (Angela et al., 2003; Valérie et al., 2004), pharmaceutical and personal care products (Hasanet al., 2012; Azhar et al., 2016), endocrine disrupting chemicals, and per‒and polyfluoroalkyl substances (Liu et al., 2015; Chen et al., 2016)) can be eliminated successfully by MOFs or related materials. However, there is a lot of work still to be done to get a full understanding of the reaction mechanisms. Improving the performance of MOFs based on current water treatment technology is in high demand. In this review, we summarized the recent advances in the applications of defect engineering in water treatment processes. We discussed the fundamental knowledge of defect engineering and existing characterization strategies and provided a comprehensive explanation of the current applications in the water treatment process. Defect engineering can excavate the hidden active sites in MOFs. We believe this review will give more guidance to MOFs’ applications in water purification processes in the future.
GRAPHICAL ABSTRACT

Definition of Defect Structure
According to recent publications, many types of structural disorders and heterogeneities that disorder the periodic arrangement of atoms in an original structure can be called defect structures. MOFs are a kind of porous polymer which are known to contain defects within their crystalline structure (Shoaee et al., 2008; Shöâeè et al., 2008; Ameloot et al., 2013). This crystalline material has intramolecular pores formed by self‒assembly of metal ions and organic ligands. MOFs have a large specific surface area, adjustable pore size, and are easy to modify (Evans et al., 2014; Lu et al., 2014). These properties have a broad applications prospect in catalysis (Jiao et al., 2018; Li et al., 2018; Xiao and Jiang, 2019), separation (Perez et al., 2009; Li et al., 2012; Wang and Lai, 2013) and purification, gas adsorption, energy sources storage, and many other fields. Combining various metal nodes and organic linkers can produce nearly 70,000 experimentally synthesized MOFs and more than 100,000 hypothetical MOFs. These materials are unique in their chemical composition and topology. A porous crystal skeleton is a highly ordered solid in which the size and shape of all the holes remain uniform, i.e., lattice parameters, atomic symmetries, and coordinates. Uniform pore sizes and holes can be useful in various applications including adsorption, catalysis, and sensing.
However, as with other crystals in nature, an ideal structure with an infinite periodic repetition or ordering of the same atoms in a structure, does not exist. Interestingly, this defect structure can be useful. The heterogeneous crystalline structure also conveys outstanding advantages with long‒range order according to recent research results. For example, changing the building blocks of MOFs within the lattice and guest molecular inside the pores can produce a heterogeneous structure with long‒range order. Introducing different organic linkers, homologous linkers with various functional groups, or different metal‒containing secondary building blocks with the same topological structure are important strategies to improve the properties of materials (Lin et al., 2018; Yuan et al., 2020). During the above processes, defects could be produced with a specific heterogeneous structure, indicating the nonperiodic removal of some structural elements.
Classification of Defect Structure in Metal‒Organic Frameworks
Here we summarized several methods used to classify the defect structure in MOFs according to recent works.
Classification 1
Firstly, in recent publications, Roland A. Fischer and his co‒authors defined defects in MOFs as sites that locally break the regular periodic arrangement of atoms or ions of the static crystalline parent framework because of missing or dislocating atoms or ions (Fang et al., 2015) (Figure 1). According to the conclusion in their research groups, there are four major kinds of defects in MOFs: 1) point defects (e.g., vacancies), 2) line defects (e.g., dislocations), 3) planar defects (e.g., boundary or stacking disorders), and 4) micro‒ and mesoscale volume defects (e.g., inclusion and voids) (Barin et al., 2014). Moreover, macroscale volume defects also include the macropores, cracks, and foreign inclusions caused by the synthesis process.
FIGURE 1

Defect structure classification 1 with missing or dislocated atoms or ions.
Classification 2
Another classification method is based on locations. In this case, defects can be designated as external/surface defects (Vermoortele et al., 2012a; Vermoorteleet al., 2012b) or internal defects (Bordiga et al., 2007; Valvekens et al., 2014). According to published literature, some central metal nodes or organic linkers in MOFs could be missing and locally breaking the framework regularity during the specific synthesized procedures (Kozachuket al., 2013; Fuet al., 2019) (Figure 2). In this case, the linker missing process will form the linker vacancies that may further cause the appearance of modified coordinatively unsaturated metal sites (known as the CUSs). In this way, this defect can also be classified into the point defects 1) in classification 1 discussed above. CUSs are one of the major reaction sites in both adsorption and catalysis technology in water treatment processes. We will give more examples in the following sections.
FIGURE 2

Defect structure classification 2 with missing metal nodes or organic linkers.
Classification 3
The third classification method is based on the distributions of defective size (
Figure 3). For example, the defects in the framework can be divided into two groups: 1) local defects which point or isolated ones 2) large scale (
Cai and Jiang, 2017) with mesoporous. The formation depends on the reaction conditions of specific procedures. High concentrations of defect structures can result in the formation of large‒scale defects through cluster missing (
Shearer et al., 2016;
Fu et al., 2019). Such large‒scale defects are usually of high dimensions, resulting in the generation of mesoporous structures. For a water treatment process, these linker/cluster vacancies can facilitate the following purification processes:
(1) might greatly enhance mass transfer for water pollutants’ adsorption and catalysis,
(2) might reduce the MOF’s rigidity and increase stability,
(3) might offer CUSs that can facilitate the catalytic reaction selectively.
FIGURE 3

Defect structure classification 3 with defect concentrations.
Here we list some examples of this important type of missing linkers and clusters of defect formation process. Omar K. Farha and his coauthors applied a mixed linker‒fragment approach using parent frameworks NU‒125 with rht topology and HKUST‒1 (Cliffe et al., 2014). Two kinds of cheap fragment acid (part of the structure from original linkers) have been utilized to obtain the mixed linker/copper cluster MOFs, leading to better gas separation performance. In addition, other studies found that CUSs in Cu ions (HKUST‒1) can enhance the gas adsorption process (Bordiga et al., 2007). Other MOFs, including Hf/Zr‒based MOFs with a mesoporous structure caused by missing linkers and missing metal clusters, can change the material’s properties accordingly (Klet et al., 2016). Moreover, defect engineering can be applied in Materials of Institute Lavoisier (MIL) MOFs. For example, MIL‒140 (less than 10% Zr atoms) with CUSs has been synthesized in previous studies (Guillerm et al., 2012). Adding additional Fe3+ in MIL‒100 (Fe) can improve the catalytic activity by producing defect structures (Vermoortele et al., 2012b). MOF‒505 (0.57% metal deletions) has also been reported to be synthesized (Shen et al., 2012).
Formation Strategies and Characterizations
Formation Strategies
Formation strategies for defective MOFs can be divided into two categories. The first one is the direct synthesis method (DSM) (Shearer et al., 2016; Cai and Jiang, 2017), which can be realized by the following processes: 1) by directly mixing two or more organic linkers, such MOFs materials can combine the properties of multiple ligands (Yuan et al., 2020) and the topological structure remains keep unchanged. 2) By adjusting the proportion of precursors and modulators, metal connection points and ligands might be lost. The second one is the post‒synthetic modification (PSM), which can be achieved through the following processes: 1) strategy of acid/base post‒treatment (Vermoortele at al., 2012b). 2) Solvent exchange and subsequent material activation (Tu et al., 2014). The first strategy discussed above can be divided into three parts: isostructural mixed linker (IML), heterostructural mixed linker (HML), and truncated mixed linker (TML) (Bunck and Dichtel, 2013). The simplest and most common method of IML for incorporating multiple monomers into materials is to crystallize them using two or more organic ligands with similar size. The HML method mixes different coordination geometrical shapes. The TML method uses multifunctional monomers to conglutinate with monomers with fewer reactive groups. See Figure 4.
FIGURE 4

Illustrations of the (A) isostructural mixed linker (IML), (B) heterostructural mixed linker (HML), and (C) two outcomes of truncated mixed linker (TML) approaches to framework functionalization (Bunck and Dichtel, 2013).
Here we give an example of DSM (Katz et al., 2013). In this case, monocarboxylic acid was added into the reaction system in order to compete with BDC linkers for the coordinated sites on Zr‒O cluster. The pKa of BDC is lower than that of the monocarboxylic acid, making it easier to coordinate with the Zr‒O cluster. This insufficient connection can cause defects (Cai and Jiang, 2017). See Figure 5. Schaate et al. reported that defective UiO‒66 could be synthesized by changing the temperature and modulator (Schaate et al., 2011). Defective MIL‒100 (Fe) can be synthesized by TFA or HClO4 treatment (Vermoortele et al., 2012b). Cubitillas et al. reported that defect structure can be made in MOF‒5 under high temperatures (Gadipelli and Guo, 2014). Table 1 lists the representative synthesis methods of defective MOFs.
FIGURE 5

Schematic illustration of the synthesis of HP‒MOFs (UiO‒66) (Cai and Jiang, 2017).
TABLE 1
| Materials | Typical strategies | Detailed method | Ref. |
|---|---|---|---|
| MOF‒5 | DSM | Mixing ligands | Bunck and Dichtel (2013) |
| MOF‒5 | DSM | Modifying ligands | Deng et al. (2010) |
| UiO‒66 | DSM | Changing temperature | Matthew et al. (2017) |
| UiO‒66 | DSM | Adding regulators | Schaate et al. (2011) |
| MIL‒100(Fe) | PSM | Acid treatment | Vermoortele et al. (2012b) |
| UiO‒66 | DSM | Heat treatment | Shearer et al. (2014) |
| MOF‒5 | PSM | Heat treatment | Gadipelli and Guo (2014) |
Representative synthesis methods of defective MOFs.
Characterizations
Common methods to characterize the surface properties are as follows: high‒resolution neutron powder diffraction (HRNPD) (Wu e al., 2013), thermogravimetric analysis (TGA), nuclear magnetic resonance (NMR) spectroscopy, atomic force microscopy (AFM), confocal fluorescence microscopy (CFM), scanning electron microscopy (SEM), powder X‒ray diffraction (PXRD), and a combination of different techniques. We will introduce each method in the following section. In the TGA process, the mass loss can be analyzed based on TGA. Increasing the temperature can remove the solvent and hydroxyl from the frameworks. Then the organic ligands are removed with the increasing temperature. Based on this process, the weight loss of the organic ligands can be calculated. NMR spectroscopy is the most powerful tool for organic and organometallic compound determination. In this case we can apply this method to determine the elements of each modulator in the synthesized process. It also can be employed for detecting signs of additional functional groups from organic solvent. For example, Shearer et al. characterized defective UiO‒66 and pristine UiO‒66 with TGA and NMR (Shearer et al., 2016). Moreover, AFM can be applied to study the defect structure and to observe the process of MOF growth. This method can be useful for discovering many features of the material surface as well as the structural defects. For example, Shoaee et al. used high‒resolution AFM to reveal the crystal growth characteristics and defect types of MOFs (HKUST‒1) (Shoaee et al., 2008). Also, CFM, acid‒base titration and SEM should be useful to realize 3D visualization of defects. Christian found that it would be necessary to visualize the defect formation in order to have a better understanding of the performance of MOFs (Christian, 2013). Vermoortele et al. applied CFM to characterize the defects in HKUST‒1 and MOF‒5 (Vermoortele et al., 2012b). In addition, acid‒base titration and SEM are also two important ways to characterize defects (Matthew et al., 2017).
Applications in Adsorption and Catalysis in Water
Compared with other conventional materials, MOFs with defect structures show several advantages in catalysis and adsorption processes: 1) the high surface areas can reduce the mass transfer by improving the contact opportunities between pollutants and MOFs. 2) Multiple‒functional catalytic sites benefit the catalytic selectivity. The porous structure (mesoporous or macroporous) can be changed by introducing vacancy defects, which can facilitate the adsorption and catalysis process compared to perfect crystal ones. According to recent publications, much of the research focuses on the purification technologies for metal ions, organic pollutants, and emerging contaminants by the water stable Zr‒metal‒organic framework (UiO‒66) of various defects.
Adsorption
Metal Ions
Recent studies show that defective UiO‒66 can be applied in metal ions separations in the field of nuclear energy. There are increasing active sites (Zr‒OH) and expanding porous structures for binding U (VI) within the framework (Figure 6A). This missing linker defect structure increased the metal ions sorption significantly, as Yuan et al. reported (Yuan et al., 2018). However, all these findings substantiated the applicability of this material for metal ions captured from acidic media. Thus, the defect engineering may provide a new strategy for adsorbing radionuclides. In Figure 6B, the authors first simulated free energy of the equilibrium sorption state of the hydrated uranyl ions. After comparing the two proposed mechanisms based on the same reaction coordinate, the defect structures with one edge of the window broken by removing an aromatic linker showed a lower energy barrier compared to the perfected structures. Therefore, the oxygen atoms at the left‒hand side that are bonding to Zr atoms ultimately form hydroxyl groups. Based on the above discussions, there should be two main mechanisms: 1) the missing‒linker defects in the frameworks expand the narrow pore size by combining neighboring pores. 2) The presence of the defect necessitated the hydroxo or aquo groups to complete the Zr‒coordination sphere, and the linker induced hydroxo groups (Zr‒OH) are very reactive for vapor‒phase metalation. However, there is not enough evidence provided to prove the Zr‒OH groups are the main binding sites for sorption applications. Zr‒OH groups, similar to the Si‒OH groups, have been found to be effective for binding metal ions in the previous report. Therefore, the hydroxo or aquo groups within the defect structure should be one of the mechanisms for metal ions adsorption.
FIGURE 6

(A) Metal ions adsorption on defect free UiO‒66 (UiO‒66‒DF) and defective UiO‒66 (UiO‒66‒20D) and (B) proposed mechanisms between uranyl ions and UiO‒66 structure (Yuan et al., 2018).
Another piece of research conducted by Yin et al. also confirmed that the defect structure in the framework increased the uranium adsorption kinetics significantly (Yin et al., 2019). They introduced dodecanoic acid in the synthesis and produced hierarchical porous UiO‒66 (HP‒UiO‒66). HP‒UiO‒66 exhibited an ultrarapid adsorption capacity for uranium and reached adsorption equilibrium at 2 min. XPS patterns indicated that two types of Zr‒O bonds (one is μ3O, the bridge between Zr‒O‒Zr in zirconium centers and Zr‒H2BDC joints) play an important role in uranium adsorption.
Studies also show that the defective UiO‒66 is effective for other metal ions removal and recovery, such as arsenic and Pt (IV), with acetic acid and trifluoroacetic acid addition as the modulator. The arsenate adsorption capacity increased to 200 mg/g at neutral pH which is the highest value among all the studied samples so far (Assaad et al., 2020). This performance can be contributed to the Lewis acid sites formed in the MOF clusters as a result of missing linker defects. It has been demonstrated that the first adsorption process by a defected free UiO‒66 is the formation of four Zr−OH groups in a unit Zr6 cluster. However, in a highly defected UiO‒66 structure, the preferred pathway for arsenate uptake is most likely via adsorption on the missing linker sites on the Zr6 nodes via a single or double coordination mode (Figure 7A). Lin et al. synthesized the defective UiO‒66 by controlling the ratio of HCl and ligands in the synthesis, which was used to recover Pt (IV) in strongly acidic solutions (Linet al., 2019). The defective UiO‒66 shows efficient adsorption of Pt (IV). The possible interaction between Pt (IV) and UiO‒66 materials may be the electrostatic attraction or ion exchange between PtCl62‒ and the incompletely coordinated Zr sites with terminal ‒OH groups (Figure 7B).
FIGURE 7

Possible mode of adsorption of (A) arsenate on the ideal zirconium and the defected ones (Assaad et al., 2020) and (B) Pt (IV) sorption (Lin et al., 2019).
Organic Pollutants
Several organic contaminants have been selected as model compounds to study the efficiency of defected‒based materials, such as Rhodamine B (RhB), chemical warfare agents (CWA), and coomassie brilliant blue R250. Fan et al. synthesized a defective ZnIr‒MOF by introducing another ligand, Ir‒BH3, into the matrix (the original ligand is Ir‒AH3) (Fan et al., 2017). The defective ZnIr‒MOF has a variety of pore size distributions from micropores to mesopores compared to the uniform micropore distribution in the pristine materials. This material can increase the performance of n‒butanol. Harvey et al. calculated the adsorption interaction between organophosphorus compounds (CWA) and UiO‒66 by density functional theory. Compared with the ideal site with complete coordination, the binding energy at the defect site with unsaturated coordination was increased by nearly two times. Favorable binding is also demonstrated at two additional adsorption sites, Zr‒OH (created sites by a missing linker) and μ3‒OH, which likely play a role in the initial adsorption process (Harvey et al., 2018).
Molecular size and geometry configuration are also important in the process of adsorption by defective materials (Cai and Jiang, 2017). As shown in Figures 8A,B, defective UiO‒66 can be synthesized by adding monocarboxylic acid as a modulator. As shown in Figure 8B, Wang et al. used benzoic acid as a regulator to synthesize defective UiO‒66 (2.7 × 1.7 × 0.9 nm). They used two cationic dyes with different molecular sizes (Safranine T, ST, 9.2 × 11.4 Å in size; Crystal Violet, CV, 12.3 × 13.9 Å in size) as model molecules to explore the effect of defects on the adsorption process. After soaking UiO‒66‒15 in the dye solution, the color of ST solution became obviously colorless, however, the color of CV changed slightly for UiO‒66‒ND (Wanget al., 2016).
FIGURE 8

(A) Color of the powder sample of UiO‒66 and HP‒UiO‒66 before and after dye adsorption (Cai and Jiang, 2017) and (B) photographs of ST and CV before and after adsorption process by defect free UiO‒66 (UiO‒66‒ND) and defective UiO‒66 (UiO‒66‒15) (Wang et al., 2016).
In addition, introducing alkaline N‒compounds dopamine, pyrrole, and 2‒methylimidazole can construct defective UiO‒66, as reported by Hu et al. N‒doped UiO‒66 possessed improved alkali‒resistance and higher alkaline surface compared to pristine UiO‒66, and pyrrole‒doped UiO‒66 showed two times enhanced adsorption capacity for RhB (384.1 mg/g) and 223 times higher selectivity for equimolar RhB/ST than that of parent UiO‒66. Alkaline groups on the surface, meaning uniform larger defect pores can enhance the selectivity adsorption performance of cationic dyes (Huet al., 2019).
Emerging Contaminants
The incompletely coordinated Zr atom in the framework showed a very fast metal adsorption rate according to the published work. The incomplete‒coordinated cationic Zr in the cluster has high affinity for the anionic pharmaceuticals (chemical adsorption), such as ibuprofen, ketoprofen, naproxen, indomethacin, furosemide, and salicylic acid. The terminal ‒OH groups in the incomplete‒coordinated Zr tend to form a positive charged Zr‒OH2+, and the carboxyl groups in pharmaceuticals were ionized which can lead to a strong electrostatic attraction on the cationic Zr sites (Figure 9A). Porous structures can also influence the number of uptakes for pharmaceuticals, for example, MOF‒802 shows a low uptake rate because of its narrow pores. Different from metal ions, the emerging contaminants have complicated chemical structures including negative charged ‒COO‒, tertiary amine groups, and benzene rings. DFT calculations reveal that larger quantities of functional groups (benzene rings) facilitate the adsorption rate by π‒π interaction. π‒π stackings were formed by a strong electronic interaction between good electron donors (π‒electron clouds) and electron acceptors (σ‒framework) (Lin et al., 2018).
FIGURE 9

(A) Schematic diagram of interactions of ibuprofen, furosemide, salicylic acid, and acetophenone with Zr‒MOFs (Lin et al., 2018) and (B) defect tunable UiO‒66 MOFs for ROX removal (Li et al., 2016).
Perfluorooctanesulfonate (PFOS) is a persistent organic pollutant that is also toxic. UiO‒66 of several defect concentrations were synthesized. Under the mechanism of electrostatic interaction between PFOS negative head groups and CUSs Zr sites, MOFs had a maximum Langmuir sorption capacity of 1.24 mmol/g, which is two times higher than conventional materials including powdered activated carbons and commercial ion‒exchange resins. Therefore, the enhanced PFOS adsorption indicated that defective UiO‒66 had advantages for contaminated water treatment (Clark et al., 2019). By introducing benzoic acid, Li et al. obtained defective UiO‒66 with missing‒linkers. The defective UiO‒66 can remove a typical organic arsenic compound of roxarsone (ROX) from aqueous solution up to 730 mg/g, which is much higher than those of many reported adsorbents (Figure 9B). The presence of the defects not only resulted in a dramatically enhanced porosity, but also induced the creation of Zr‒OH groups which served as the main active adsorption sites for efficient ROX removal. Another similar work was reported by Xu et al. In addition to the regulation defect, they also changed the ligand and synthesized the defective UiO‒66‒NH2 to removal p‒arsanilic acid (p‒ASA) and roxarsone (ROX) (Li et al., 2016). Defect structure and amino groups play an important role in hydrogen bonds formation, which can in turn facilitate the adsorption process.
Catalysis
Photocatalysis
(1) Metal ions Defective MOFs can facilitate toxic metal ions removal under visible light. Feng et al. chose the ZrOCl2·8H2O as a Zr precursor to synthesize UiO‒66‒NH2 combined with the post-synthetic treatment of Ti substitution (Feng et al., 2019). This highly defective framework and more ‒NH2 groups exposed on the surface improved the photocatalytic reduction of Cr (VI) under visible light. ‒NH2 groups exposed on the surface facilitated the light absorption ability while the defect structure decreased the recombination rate of photogenerated electron‒hole pairs, thus exhibiting a better photocatalytic performance. See Figure 10A. Adsorption is an important factor that affects the photocatalytic degradation rates of defective MOFs. Another similar work was reported by Chen et al. See Figure 10B. UiO‒66 was synthesized by a nonsolvent method with ZrOCl2·8H2O as a Zr precursor with abundant defects. Results show the best photocatalytic performance mainly due to the highest Cr (VI) adsorption capacity and the more positively charged framework, which facilitates the adsorption of Cr (VI) and desorption of cationic Cr (III) and the electron transfer from UiO‒66 to Cr (VI) ions (Chen et al., 2019).
(2) Organic pollutants As discussed in the above section, a series of defective iridium‒containing MOFs were designed by doping heterostructured linker Ir‒BH3. This defect structure not only improves the adsorption ability but also increases the photocatalytic efficiency of organic dye significantly, see Figure 11A. Fan et al. reported that the combination of Ir ligand and Zn4O cluster makes the band gap of MOF lower than that of many typical inorganic semiconductors (Fan et al., 2017). By studying the solid‒state fluorescence properties of MOF and ligand (318 nm excitation), they found that defective ZnIr‒MOF has excellent light collection ability in a wide visible light region. Rhodamine B can be degraded to 34% after 60 min by ZnIr‒MOF. However, RhB (1.56 × 1.23 × 0.42 nm) can be degraded completely (100%) within only 10 min by defective ones. This improvement can be attributed to the presence of mesopores, which can facilitate the mass transport process of organic compounds. See Figure 11A.
(3) Emerging Contaminants Figure 11B demonstrates how diclofenac (DF) can be effectively removed by TCPP@UiO‒66 which have been synthesized by large mixed‒linker approach. Gao et al. found that electrostatic interaction, Lewis acid− base interaction, π−π interaction, hydrogen bonding, and anion−π interaction were possible adsorption mechanisms. In the degradation process, the energy transfer from TCPP to triplet oxygen and the electron transfer from TCPP to Zr clusters contributed to the degradation of DF. Moreover, h+ is also a key reactive species (Gao et al., 2020). Table 2 lists the representative removal mechanisms of target compounds by defective materials.
FIGURE 10

(A) UiO‒66‒NH2 (Ti) photocatalytic degradation Cr (VI) under visible light (Feng et al., 2019). (B) Mechanism of Cr (VI) reduction under visible light with defect UiO‒66 (Chen et al., 2019).
FIGURE 11

(A) ZnIr‒MOF photocatalytic degradation RhB (Fan et al., 2017) and (B) mechanism of DF degradation by TCPP@UiO‒66 (Gao et al., 2020).
TABLE 2
| MOF | Removal | Pollutant | Mechanism | Ref. |
|---|---|---|---|---|
| UiO‒66 | Adsorption | Uranium | — | Yuan et al. (2018) |
| UiO‒66 | Adsorption | Arsenic | Coordination interaction | Assaad et al. (2020) |
| Adsorption | Platinum | Electrostatic interaction | Lin et al. (2019) | |
| Ion exchange | ||||
| ZnIr‒MOF | Adsorption | N‒butanol | Size‒exclusion effect | Fan et al. (2017) |
| UiO‒66 | Adsorption | Organophosphorous | — | Harvey et al. (2018) |
| UiO‒66 | Adsorption | Coomassie bright blue | Size‒exclusion effect | Cai and Jiang (2017) |
| UiO‒66 | Adsorption | Safranine T | Size‒exclusion effect | Wang et al. (2016) |
| UiO‒66 | Adsorption | Rhodamine B | Size‒exclusion effect | Hu et al. (2019) |
| UiO‒66 | Adsorption | Ibuprofen | Electrostatic interaction | Lin et al. (2018) |
| Adsorption | Ketoprofen | Electrostatic interaction | Lin et al. (2018) | |
| Adsorption | Naproxen | Electrostatic interaction | Lin et al. (2018) | |
| Adsorption | Indomethacin | Electrostatic interaction | Lin et al. (2018) | |
| Adsorption | Furosemide | Electrostatic interaction | Lin et al. (2018) | |
| Adsorption | Salicylic acid | Electrostatic interaction | Lin et al. (2018) | |
| UiO‒66 | Adsorption | PFOS | Electrostatic interaction | Clark et al. (2019) |
| UiO‒66 | Adsorption | Roxarsone | Coordination interaction | Li et al. (2016) |
| UiO‒66 | Adsorption | Roxarsone | Coordination interaction | Xu et al. (2017) |
| Hydrogen bonds | ||||
| Adsorption | P‒arsanilic acid | Coordination interaction | Xu et al. (2017) | |
| Hydrogen bonds | ||||
| UiO‒66‒NH2 | Photocatalysis | Chromium | — | Feng et al. (2019) |
| UiO‒66 | Photocatalysis | Chromium | — | Chen et al. (2019) |
| ZnIr‒MOF | Photocatalysis | Rhodamine B | — | Fan et al. (2017) |
| TCPP‒UiO‒66 | Photocatalysis | Diclofenac | — | Gao et al. (2020) |
Mechanisms of target compounds removal by defective materials.
Electrocatalysis
Compared to other applications, there is a limited amount of research on the electrocatalysis degradation process by defective MOFs. There is an increasing need for introducing new approaches to tune and accelerate the rate of charge transport in MOFs. An ideal catalyst should have a large specific surface area with abundant active sites, high porosity, and high charge transfer ability. However, many chemically stable MOFs have limited charge transport abilities or poor conductivity. To solve this problem, several approaches have been reported: 1) MOF is used as a self‒sacrificing precursor or template to prepare porous carbon‒based composites with highly dispersed inorganic nanophases as catalytic active centers. 2) Charge transport through MOF‒installed conductive polymers. 3) Incorporated conductive guests. 4) Create two‒dimensional MOFs (Falcaro et al., 2014; Chakraborty et al., 2021). Although the work of MOF electrocatalytic degradation of pollutants has not been reported, this related publication will offer more guidance for future applications. Recently, there has been an increasing number of studies concerning the strategy to improve the electrocatalysis properties based on the defect structures. By adding HCl in the process of UiO‒66 synthesis, defective UiO‒66 can was synthesized successfully by Shimoni et al. These defective sites can serve as the postmodified ligand (Fe‒porphyrin (Hemin)‒based molecular catalyst) anchoring sites. Therefore, these defective sites incorporating conductive guests can increase the charge transfer rate by an order of magnitude. See Figure 12A (Shimoni et al., 2019).
FIGURE 12

(A) Fe‒porphyrin‒based (Hemin)‒modified UiO‒66 (UiO‒66@Hemin) made by defective UiO‒66 (Shimoni et al., 2019). (B) Schematic diagram of the synthesis of the pore size‒enlarged NPC nanomaterials derived from ZIF‒8 precursors (Zhu et al., 2019).
Another strategy to improve the electrocatalysis properties is to synthesize MOF‒derived NPC nanomaterials. Zhu et al. developed a MOF (ZIF‒8)‒derived N‒doped porous carbon (NPC) nanomaterial as a highly active oxygen reduction reaction (ORR) catalyst. The NPC exhibits a comparable ORR activity, higher stability, and better tolerance to methanol compared with the commercial Pt/C. The density functional theory results show that N‒doped carbon along with the defects is more favorable for ORR compared with N‒doped carbon because the presence of defects leads to enhanced O adsorption ability and promotes the ORR process. See Figure 12B (Zhuet al., 2019).
Future Perspectives
Hazardous pollutants (e.g., metal ions, pharmaceuticals and personal care products, PFOS, etc.) exist worldwide in aquatic environments because of edomestic or industrial discharge. They can pose considerable threat to human health and the ecosystem when they are released into the environment. For water treatment processes, there is an increasing demand for highly effective adsorption and degradation materials. Nanotechnology will open new ground and transform how water is purified.
Recently, the application of MOFs has increased in many fields. This coordination polymer will be very promising as an ideal adsorbent/catalysis because of the high porosity, large surface area, and tunable pore size. However, compared to the application in other fields, the studies for water treatment by MOFs still need more effort. Developing water stable and highly effective MOFs is crucial. In recent works, most of the efforts have been done on existing MOFs such as UiO‒66s and MILs. These MOFs show some excellent performance in several areas, including catalysis and separation. For a water treatment process, the selected materials need to be both relatively water stable and highly efficient. One of the strategies is to make the existing framework perform at its fullest capacity. There are major challenges in water treatment processes. For example, MOFs are inaccessible for some target guest compounds in water because of the mass transfer problem. One possible approach to achieve this purpose is defect engineering. The vacancies in defective MOFs could facilitate the purification process in the following aspects:
1) Mesoporous structure inside might enhance the mass transfer in adsorption and catalysis processes. 2) Make the materials more hydrophilic in water. 3) Offer CUSs that can facilitate the catalytic reaction selectively. 4) Introduce strong chemical interactions, such as electrostatic interaction. 5) Reduce the material price by alternating to cheaper linkers.
Therefore, if the defect structure can be created in a controllable manner and precisely characterized, defect engineering can be applied to improve current nanomaterials. Overall, defect engineering can excavate hidden active sites in MOFs. We believe this strategy can contribute to the development of future water treatment processes.
Statements
Author contributions
YC performed the data analyses and wrote the manuscript. XM helped perform the analysis with summaries. XL contributed to the manuscript preparation; BW contributed to the conception of the review.
Funding
This work was financially supported by the National Science Foundation of China (Grant No. 21625102, 21971017, 21906007), National Key Research and Development Program of China (2020YFB1506300), and the Beijing Institute of Technology Research Fund Program.
Acknowledgments
We gratefully acknowledge the Analysis and Testing Center of Beijing Institute of Technology.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
AbdullahN.YusofN.LauW. J.JaafarJ.IsmailA. F. (2019). Recent Trends of Heavy Metal Removal From Water/Wastewater by Membrane Technologies. J. Ind. Eng. Chem.76, 17–38. 10.1016/j.jiec.2019.03.029
2
AliI.AsimM.KhanT. A. (2012). Low Cost Adsorbents for the Removal of Organic Pollutants From Wastewater. J. Environ. Manage.113, 170–183. 10.1016/j.jenvman.2012.08.028
3
Al-KhateebL. A.AlmotiryS.SalamM. A. (2014). Adsorption of Pharmaceutical Pollutants Onto Graphene Nanoplatelets. Chem. Eng. J.248, 191‒199. 10.1016/j.cej.2014.03.023
4
Al-RashdiB. A. M.JohnsonD. J.HilalN. (2013). Removal of Heavy Metal Ions by Nanofiltration. Desalination315, 2‒17. 10.1016/j.desal.2012.05.022
5
AmelootR.VermoorteleF.HofkensJ.De SchryverF. C.De VosD. E.RoeffaersM. B. J. (2013). Three-Dimensional Visualization of Defects Formed During the Synthesis of Metal-Organic Frameworks: A Fluorescence Microscopy Study. Angew. Chem. Int. Ed.52, 401–405. 10.1002/anie.201205627
6
AngelaH.EscherB. I.PaoloL.NicoleB. T.RenéP. S. (2003). Evaluation of Bioanalytical Assays for Toxicity Assessment and Mode of Toxic Action Classification of Reactive Chemicals. Environ. Sci. Technol.37, 4962–4970. 10.1021/es034197h
7
AssaadN.SabehG.HmadehM. (2020). Defect Control in Zr-Based Metal-Organic Framework Nanoparticles for Arsenic Removal From Water. ACS Appl. Nano Mater.3, 8997–9008. 10.1021/acsanm.0c01696
8
AzharM. R.AbidH. R.SunH.PeriasamyV.TadéM. O.WangS. (2016). Excellent Performance of Copper Based Metal Organic Framework in Adsorptive Removal of Toxic Sulfonamide Antibiotics From Wastewater. J. Colloid Interf. Sci.478, 344–352. 10.1016/j.jcis.2016.06.032
9
BarinG.KrungleviciuteV.GutovO.HuppJ. T.YildirimT.FarhaO. K. (2014). Defect Creation by Linker Fragmentation in Metal-Organic Frameworks and its Effects on Gas Uptake Properties. Inorg. Chem.53, 6914–6919. 10.1021/ic500722n
10
BarpagaD.ZhengJ.HanK. S.SoltisJ. A.ShutthanandanV.BasurayS.et al (2019). Probing the Sorption of Perfluorooctanesulfonate Using Mesoporous Metal-Organic Frameworks From Aqueous Solutions. Inorg. Chem.58, 8339–8346. 10.1021/acs.inorgchem.9b00380
11
BonV. (2017). Metal-Organic Frameworks for Energy-Related Applications. Curr. Opin. Green Sustain. Chem.4, 44–49. 10.1016/j.cogsc.2017.02.005
12
BonelliB.ForniL.AloiseA.NagyJ. B.FornasariG.GarroneE.et al (2007). Beckmann Rearrangement Reaction: About the Role of Defect Groups in High Silica Zeolite Catalysts. Microporous Mesoporous Mater.101, 153–160. 10.1016/j.micromeso.2006.11.006
13
BordigaS.RegliL.BoninoF.GroppoE.LambertiC.XiaoB.et al (2007). Adsorption Properties of HKUST-1 toward Hydrogen and Other Small Molecules Monitored by IR. Phys. Chem. Chem. Phys.9, 2676. 10.1039/b703643d
14
BuQ.WangB.HuangJ.DengS.YuG. (2013). Pharmaceuticals and Personal Care Products in the Aquatic Environment in China: A Review. J. Hazard. Mater.262, 189–211. 10.1016/j.jhazmat.2013.08.040
15
BunckD. N.DichtelW. R. (2013). Mixed Linker Strategies for Organic Framework Functionalization. Chem. Eur. J.19, 818–827. 10.1002/chem.201203145
16
CaiG.JiangH.-L. (2017). A Modulator-Induced Defect-Formation Strategy to Hierarchically Porous Metal-Organic Frameworks With High Stability. Angew. Chem. Int. Ed.56, 563–567. 10.1002/anie.201610914
17
CarA.StropnikC.PeinemannK.-V. (2006). Hybrid Membrane Materials With Different Metal-Organic Frameworks (MOFs) for Gas Separation. Desalination200, 424–426. 10.1016/j.desal.2006.03.390
18
ChakrabortyG.ParkI.-H.MedishettyR.VittalJ. J. (2021). Two-Dimensional Metal-Organic Framework Materials: Synthesis, Structures, Properties and Applications. Chem. Rev.121, 3751–3891. 10.1021/acs.chemrev.0c01049
19
ChenM.-J.YangA.-C.WangN.-H.ChiuH.-C.LiY.-L.KangD.-Y.et al (2016). Influence of Crystal Topology and Interior Surface Functionality of Metal-Organic Frameworks on PFOA Sorption Performance. Microporous Mesoporous Mater.236, 202–210. 10.1016/j.micromeso.2016.08.046
20
ChenQ.FengY.TianR.ChenJ.WangA.YaoJ. (2019). Defect Rich UiO-66 With Enhanced Adsorption and Photosensitized Reduction of Cr(VI) Under Visible Light. Ind. Eng. Chem. Res.58, 21562–21568. 10.1021/acs.iecr.9b05464
21
ChristianS. (2013). Defects Visualized in Porous Solids. Nature493, 313‒314. 10.1093/ajh/hpaa116
22
ClarkC. A.HeckK. N.PowellC. D.WongM. S. (2019). Highly Defective UiO-66 Materials for the Adsorptive Removal of Perfluorooctanesulfonate. ACS Sustain. Chem. Eng.7, 6619–6628. 10.1021/acssuschemeng.8b05572
23
CliffeM. J.WanW.ZouX.ChaterP. A.KleppeA. K.TuckerM. G.et al (2014). Correlated Defect Nanoregions in a Metal-Organic Framework. Nat. Commun.5, 4176. 10.1038/ncomms5176
24
DengH.DoonanC. J.FurukawaH.FerreiraR. B.TowneJ.KnoblerC. B.et al (2010). Multiple Functional Groups of Varying Ratios in Metal-Organic Frameworks. Science327, 846–850. 10.1126/science.1181761
25
EvansJ. D.SumbyC. J.DoonanC. J. (2014). Post-Synthetic Metalation of Metal-Organic Frameworks. Chem. Soc. Rev.43, 5933–5951. 10.1039/c4cs00076e
26
FalcaroP.RiccoR.DohertyC. M.LiangK.HillA. J.StylesM. J. (2014). MOF Positioning Technology and Device Fabrication. Chem. Soc. Rev.43, 5513–5560. 10.1039/c4cs00089g
27
FanK.NieW.-X.WangL.-P.LiaoC.-H.BaoS.-S.ZhengL.-M. (2017). Defective Metal-Organic Frameworks Incorporating Iridium-Based Metalloligands: Sorption and Dye Degradation Properties. Chem. Eur. J.23, 6615–6624. 10.1002/chem.201700365
28
FangZ.BuekenB.De VosD. E.FischerR. A. (2015). Defect-Engineered Metal-Organic Frameworks. Angew. Chem. Int. Ed.54, 7234–7254. 10.1002/anie.201411540
29
FangZ.DürholtJ. P.KauerM.ZhangW.LochenieC.JeeB.et al (2014). Structural Complexity in Metal-Organic Frameworks: Simultaneous Modification of Open Metal Sites and Hierarchical Porosity by Systematic Doping With Defective Linkers. J. Am. Chem. Soc.136, 9627–9636. 10.1021/ja503218j
30
FengY.ChenQ.CaoM.LingN.YaoJ. (2019). Defect-Tailoring and Titanium Substitution in Metal-Organic Framework UiO-66-NH2 for the Photocatalytic Degradation of Cr(VI) to Cr(III). ACS Appl. Nano Mater.2, 5973–5980. 10.1021/acsanm.9b01403
31
FéreyG. (2008). Hybrid Porous Solids: Past, Present, Future. Chem. Soc. Rev.37, 191–214. 10.1039/b618320b
32
FuF.WangQ. (2011). Removal of Heavy Metal Ions From Wastewaters: A Review. J. Environ. Manage.92, 407–418. 10.1016/j.jenvman.2010.11.011
33
FuY.WuJ.DuR.GuoK.MaR.ZhangF.et al (2019). Temperature Modulation of Defects in NH2-UiO-66(Zr) for Photocatalytic CO2 Reduction. RSC Adv.9, 37733–37738. 10.1039/c9ra08097j
34
FurukawaH.CordovaK. E.O’KeeffeM.YaghiO. M. (2013). The Chemistry and Applications of Metal-Organic Frameworks. Science341, 1230444. 10.1126/science.1230444
35
GadipelliS.GuoZ. (2014). Postsynthesis Annealing of MOF-5 Remarkably Enhances the Framework Structural Stability and CO2 Uptake. Chem. Mater.26, 6333–6338. 10.1021/cm502399q
36
GanguK. K.MaddilaS.MukkamalaS. B.JonnalagaddaS. B. (2016). A Review on Contemporary Metal-Organic Framework Materials. Inorg. Chim. Acta446, 61–74. 10.1016/j.ica.2016.02.062
37
GaoY.LuJ.XiaJ.YuG. (2020). In Situ Synthesis of Defect-Engineered MOFs as a Photoregenerable Catalytic Adsorbent: Understanding the Effect of LML, Adsorption Behavior, and Photoreaction Process. ACS Appl. Mater. Inter.12, 12706–12716. 10.1021/acsami.9b21122
38
GuillermV.RagonF.Dan-HardiM.DevicT.VishnuvarthanM.CampoB.et al (2012). A Series of Isoreticular, Highly Stable, Porous Zirconium Oxide Based Metal-Organic Frameworks. Angew. Chem. Int. Ed.51, 9267–9271. 10.1002/anie.201204806
39
GwonK.HanI.LeeS.KimY.LeeD. N. (2020). Novel Metal-Organic Framework-Based Photocrosslinked Hydrogel System for Efficient Antibacterial Applications. ACS Appl. Mater. Inter.12, 20234–20242. 10.1021/acsami.0c03187
40
HarveyJ. A.GreathouseJ. A.Sava GallisD. F. (2018). Defect and Linker Effects on the Binding of Organophosphorous Compounds in UiO-66 and Rare-Earth MOFs. J. Phys. Chem. C.122, 26889–26896. 10.1021/acs.jpcc.8b06198
41
HasanZ.JeonJ.JhungS. H. (2012). Adsorptive Removal of Naproxen and Clofibric Acid From Water Using Metal-Organic Frameworks. J. Hazard. Mater.209–210, 151–157. 10.1016/j.jhazmat.2012.01.005
42
HeY.TangY. P.MaD.ChungT.-S. (2017). UiO-66 Incorporated Thin-Film Nanocomposite Membranes for Efficient Selenium and Arsenic Removal. J. Membr. Sci.541, 262–270. 10.1016/j.memsci.2017.06.061
43
HuM.-L.RazaviS. A. A.PiroozzadehM.MorsaliA. (2020). Sensing Organic Analytes by Metal-Organic Frameworks: A New Way of Considering the Topic. Inorg. Chem. Front.7, 1598–1632. 10.1039/c9qi01617a
44
HuP.ZhaoZ.SunX.MuhammadY.LiJ.ChenS.et al (2019). Construction of Crystal Defect Sites in N-Coordinated UiO-66 via Mechanochemical In-Situ N-Doping Strategy for Highly Selective Adsorption of Cationic Dyes. Chem. Eng. J.356, 329–340. 10.1016/j.cej.2018.09.060
45
JiaoL.WangY.JiangH.-L.Xufnm. (2018). Metal-Organic Frameworks as Platforms for Catalytic Applications. Adv. Mater.30, 1703663. 10.1002/adma.201703663
46
KadhomM.DengB. (2018). Metal-Organic Frameworks (MOFs) in Water Filtration Membranes for Desalination and Other Applications. Appl. Mater. Today11, 219–230. 10.1016/j.apmt.2018.02.008
47
KatzM. J.BrownZ. J.ColónY. J.SiuP. W.ScheidtK. A.SnurrR. Q.et al (2013). A Facile Synthesis of UiO-66, UiO-67 and Their Derivatives. Chem. Commun.49, 9449. 10.1039/c3cc46105j
48
KitagawaS.KitauraR.NoroS.-i. (2004). Functional Porous Coordination Polymers. Angew. Chem. Int. Ed.43, 2334–2375. 10.1002/anie.200300610
49
KletR. C.LiuY.WangT. C.HuppJ. T.FarhaO. K. (2016). Evaluation of Brønsted Acidity and Proton Topology in Zr- and Hf-Based Metal-Organic Frameworks Using Potentiometric Acid-Base Titration. J. Mater. Chem. A4, 1479–1485. 10.1039/c5ta07687k
50
KozachukO.MeilikhovM.YusenkoK.SchneemannA.JeeB.KuttatheyilA. V.et al (2013). A Solid-Solution Approach to Mixed-Metal Metal-Organic Frameworks - Detailed Characterization of Local Structures, Defects and Breathing Behaviour of Al/V Frameworks. Eur. J. Inorg. Chem.2013, 4546–4557. 10.1002/ejic.201300591
51
KumarP.BansalV.KimK.-H.KwonE. E. (2018). Metal-Organic Frameworks (MOFs) as Futuristic Options for Wastewater Treatment. J. Ind. Eng. Chem.62, 130–145. 10.1016/j.jiec.2017.12.051
52
KumarP.DeepA.KimK.-H. (2015). Metal Organic Frameworks for Sensing Applications. Trends Anal. Chem.73, 39–53. 10.1016/j.trac.2015.04.009
53
LeeD. Y.YoonS. J.ShresthaN. K.LeeS.-H.AhnH.HanS.-H. (2012). Unusual Energy Storage and Charge Retention in Co-Based Metal-Organic-Frameworks. Microporous Mesoporous Mater.153, 163–165. 10.1016/j.micromeso.2011.12.040
54
LiB.ZhuX.HuK.LiY.FengJ.ShiJ.et al (2016). Defect Creation in Metal-Organic Frameworks for Rapid and Controllable Decontamination of Roxarsone From Aqueous Solution. J. Hazard. Mater.302, 57–64. 10.1016/j.jhazmat.2015.09.040
55
LiG.ZhaoS.ZhangY.TangZ. (2018). Metal-Organic Frameworks Encapsulating Active Nanoparticles as Emerging Composites for Catalysis: Recent Progress and Perspectives. Adv. Mater.30, 1800702. 10.1002/adma.201800702
56
LiH.-Y.ZhaoS.-N.ZangS.-Q.LiJ. (2020). Functional Metal-Organic Frameworks as Effective Sensors of Gases and Volatile Compounds. Chem. Soc. Rev.49, 6364–6401. 10.1039/c9cs00778d
57
LiJ.-R.SculleyJ.ZhouH.-C. (2012). Metal-Organic Frameworks for Separations. Chem. Rev.112, 869–932. 10.1021/cr200190s
58
LinS.BediakoJ. K.SongM.-H.KimJ.-A.ChoC.-W.ZhaoY.et al (2019). Effective Recovery of Pt(IV) From Acidic Solution by a Defective Metal-Organic Frameworks Using Central Composite Design for Synthesis. ACS Sustain. Chem. Eng.7, 7510–7518. 10.1021/acssuschemeng.8b04637
59
LinS.ZhaoY.YunY.-S. (2018). Highly Effective Removal of Nonsteroidal Anti-Inflammatory Pharmaceuticals From Water by Zr(IV)-Based Metal-Organic Framework: Adsorption Performance and Mechanisms. ACS Appl. Mater. Inter.10, 28076–28085. 10.1021/acsami.8b08596
60
LiuK.ZhangS.HuX.ZhangK.RoyA.YuG. (2015). Understanding the Adsorption of PFOA on MIL-101(Cr)-Based Anionic-Exchange Metal-Organic Frameworks: Comparing DFT Calculations With Aqueous Sorption Experiments. Environ. Sci. Technol.49, 8657–8665. 10.1021/acs.est.5b00802
61
LiuW.YinR.XuX.ZhangL.ShiW.CaoX. (2019). Structural Engineering of Low‐Dimensional Metal-Organic Frameworks: Synthesis, Properties, and Applications. Adv. Sci.6, 1802373. 10.1002/advs.201802373
62
LuW.WeiZ.GuZ.-Y.LiuT.-F.ParkJ.ParkJ.et al (2014). Tuning the Structure and Function of Metal-Organic Frameworks via Linker Design. Chem. Soc. Rev.43, 5561–5593. 10.1039/c4cs00003j
63
MaT.LiH.MaJ.-G.ChengP. (2020). Application of MOF-Based Materials in Electrochemical Sensing. Dalton Trans.49, 17121–17129. 10.1039/d0dt03388j
64
MaesM.TrekelsM.BoulhoutM.SchoutedenS.VermoorteleF.AlaertsL.et al (2011). Selective Removal of N-Heterocyclic Aromatic Contaminants From Fuels by Lewis Acidic Metal-Organic Frameworks. Angew. Chem. Int. Ed.50, 4210–4214. 10.1002/anie.201100050
65
MatthewR. D.TimurI.SergioJ. G.JosephT. H.OmarK. F. (2017). Room Temperature Synthesis of UiO-66 and the thermal Modulation of Densities of Defect Sites. Chem. Mater.29, 1357‒1361. 10.1021/acs.chemmater.6b05115
66
MichaelA.RozaA.DimitrisT.EvaM. M.ReinhardP. (2006). Organic/Inorganic Hybrid Filters Based on Dendritic and Cyclodextrin “Nanosponges” for the Removal of Organic Pollutants From Water. Environ. Sci. Technol.40, 2771‒2777. 10.1021/es052290v
67
OyetadeO. A.MartincighB. S.SkeltonA. A. (2018). Interplay Between Electrostatic and Hydrophobic Interactions in the pH-Dependent Adsorption of Ibuprofen Onto Acid-Functionalized Multiwalled Carbon Nanotubes. J. Phys. Chem. C122, 22556–22568. 10.1021/acs.jpcc.8b06841
68
PerezE. V.BalkusK. J.FerrarisJ. P.MusselmanI. H. (2009). Mixed-Matrix Membranes Containing MOF-5 for Gas Separations. J. Membr. Sci.328, 165–173. 10.1016/j.memsci.2008.12.006
69
RagabD.GomaaH. G.SabouniR.SalemM.RenM.ZhuJ. (2016). Micropollutants Removal From Water Using Microfiltration Membrane Modified With ZIF-8 Metal Organic Frameworks (MOFs). Chem. Eng. J.300, 273–279. 10.1016/j.cej.2016.04.033
70
RowsellJ. L. C.YaghiO. M. (2004). Metal-Organic Frameworks: A New Class of Porous Materials. Microporous Mesoporous Mater.73, 3–14. 10.1016/j.micromeso.2004.03.034
71
SchaateA.RoyP.GodtA.LippkeJ.WaltzF.WiebckeM.et al (2011). Modulated Synthesis of Zr-Based Metal-Organic Frameworks: From Nano to Single Crystals. Chem. Eur. J.17, 6643–6651. 10.1002/chem.201003211
72
SeoP. W.BhadraB. N.AhmedI.KhanN. A.JhungS. H. (2016). Adsorptive Removal of Pharmaceuticals and Personal Care Products From Water With Functionalized Metal-Organic Frameworks: Remarkable Adsorbents With Hydrogen-Bonding Abilities. Sci. Rep.6, 34462. 10.1038/srep34462
73
ShearerG. C.ChavanS.BordigaS.SvelleS.OlsbyeU.LillerudK. P.et al (2016). Defect Engineering: Tuning the Porosity and Composition of the Metal-Organic Framework UiO-66 via Modulated Synthesis. Chem. Mater.28, 3749–3761. 10.1021/acs.chemmater.6b00602
74
ShearerG. C.ChavanS.EthirajJ.VitilloJ. G.SvelleS.OlsbyeU.et al (2014). Tuned to Perfection: Ironing Out the Defects in Metal-Organic Framework UiO-66. Chem. Mater.26, 4068–4071. 10.1021/cm501859p
75
ShenL.YangS.-W. W.XiangS.LiuT.ZhaoB.NgM.-F.et al (2012). Origin of Long-Range Ferromagnetic Ordering in Metal-Organic Frameworks With Antiferromagnetic Dimeric-Cu(II) Building Units. J. Am. Chem. Soc.134, 17286–17290. 10.1021/ja3077654
76
ShimoniR.HeW.LibermanI.HodI. (2019). Tuning of Redox Conductivity and Electrocatalytic Activity in Metal-Organic Framework Films via Control of Defect Site Density. J. Phys. Chem. C123, 5531–5539. 10.1021/acs.jpcc.8b12392
77
ShöâeèM.AggerJ. R.AndersonM. W.AttfieldM. P. (2008). Crystal Form, Defects and Growth of the Metal Organic Framework HKUST-1 Revealed by Atomic Force Microscopy. Cryst. Eng. Comm.10, 646. 10.1039/b718890k
78
ShoaeeM.AndersonM. W.AttfieldM. P. (2008). Crystal Growth of the Nanoporous Metal-Organic Framework HKUST-1 Revealed by In Situ Atomic Force Microscopy. Angew. Chem. Int. Ed.47, 8525–8528. 10.1002/anie.200803460
79
SyrtsovaD. A.IsaevaV. I.BarkovaM.TeplyakovV. V.KustovL. M. (2012). New Composite Membranes Based on ZIF-8 for Gas Separation. Proced. Eng.44, 1092–1094. 10.1016/j.proeng.2012.08.687
80
TamaraP.ShlomoN.DiklaZ.OnnR.CarinaS.LudmilaG.et al (2005). Water Purification From Organic Pollutants by Optimized Micelle-Clay Systems. Environ. Sci. Technol.39, 2343‒2348. 10.1021/es049251o
81
TsaoC.-S.YuM.-S.WangC.-Y.LiaoP.-Y.ChenH.-L.JengU.-S.et al (2009). Nanostructure and Hydrogen Spillover of Bridged Metal-Organic Frameworks. J. Am. Chem. Soc.131, 1404–1406. 10.1021/ja802741b
82
TuB.PangQ.WuD.SongY.WengL.LiQ. (2014). Ordered Vacancies and Their Chemistry in Metal-Organic Frameworks. J. Am. Chem. Soc.136, 14465–14471. 10.1021/ja5063423
83
ValérieM.EscherB. I.MartinS.KonradH. (2004). Toxic Ratio as an Indicator of the Intrinsic Toxicity in the Assessment of Persistent, Bioaccumulative, and Toxic Chemicals. Environ. Sci. Technol.38, 3659‒3666. 10.1021/es0351591
84
ValvekensP.JonckheereD.De BaerdemaekerT.KubarevA. V.VandichelM.HemelsoetK.et al (2014). Base Catalytic Activity of Alkaline Earth MOFs: A (Micro)spectroscopic Study of Active Site Formation by the Controlled Transformation of Structural Anions. Chem. Sci.5, 4517–4524. 10.1039/c4sc01731e
85
VermoorteleF.AmelootR.AlaertsL.MatthessenR.CarlierB.FernandezE. V. R.et al (2012b). Tuning the Catalytic Performance of Metal-Organic Frameworks in Fine Chemistry by Active Site Engineering. J. Mater. Chem.22, 10313. 10.1039/c2jm16030g
86
VermoorteleF.VandichelM.Van de VoordeB.AmelootR.WaroquierM.Van SpeybroeckV.et al (2012a). Electronic Effects of Linker Substitution on Lewis Acid Catalysis With Metal-Organic Frameworks. Angew. Chem. Int. Ed.51, 4887–4890. 10.1002/anie.201108565
87
WangC.ChengP.YaoY.YamauchiY.YanX.LiJ.et al (2020). In-Situ Fabrication of Nanoarchitectured MOF Filter for Water Purification. J. Hazard. Mater.392, 122164. 10.1016/j.jhazmat.2020.122164
88
WangD.-M.LaiJ.-Y. (2013). Recent Advances in Preparation and Morphology Control of Polymeric Membranes Formed by Nonsolvent Induced Phase Separation. Curr. Opin. Chem. Eng.2, 229–237. 10.1016/j.coche.2013.04.003
89
WangH.ZhuQ.-L.ZouR.XuQ. (2017). Metal-Organic Frameworks for Energy Applications. Chem2, 52–80. 10.1016/j.chempr.2016.12.002
90
WangK.LiC.LiangY.HanT.HuangH.YangQ.et al (2016). Rational Construction of Defects in a Metal-Organic Framework for Highly Efficient Adsorption and Separation of Dyes. Chem. Eng. J.289, 486–493. 10.1016/j.cej.2016.01.019
91
WuH.ChuaY. S.KrungleviciuteV.TyagiM.ChenP.YildirimT.et al (2013). Unusual and Highly Tunable Missing-Linker Defects in Zirconium Metal-Organic Framework UiO-66 and Their Important Effects on Gas Adsorption. J. Am. Chem. Soc.135, 10525–10532. 10.1021/ja404514r
92
XiaoJ.-D.JiangH.-L. (2019). Metal-Organic Frameworks for Photocatalysis and Photothermal Catalysis. Acc. Chem. Res.52, 356–366. 10.1021/acs.accounts.8b00521
93
XuG.NieP.DouH.DingB.LiL.ZhangX. (2017). Exploring Metal Organic Frameworks for Energy Storage in Batteries and Supercapacitors. Mater. Today20, 191–209. 10.1016/j.mattod.2016.10.003
94
YangY.OkY. S.KimK.-H.KwonE. E.TsangY. F. (2017). Occurrences and Removal of Pharmaceuticals and Personal Care Products (PPCPs) in Drinking Water and Water/Sewage Treatment Plants: A Review. Sci. Total Environ.596-597, 303–320. 10.1016/j.scitotenv.2017.04.102
95
YinC.LiuQ.ChenR.LiuJ.YuJ.SongD.et al (2019). Defect-Induced Method for Preparing Hierarchical Porous Zr-MOF Materials for Ultrafast and Large-Scale Extraction of Uranium From Modified Artificial Seawater. Ind. Eng. Chem. Res.58, 1159–1166. 10.1021/acs.iecr.8b04034
96
YuanL.TianM.LanJ.CaoX.WangX.ChaiZ.et al (2018). Defect Engineering in Metal-Organic Frameworks: A New Strategy to Develop Applicable Actinide Sorbents. Chem. Commun.54, 370–373. 10.1039/c7cc07527h
97
YuanS.HuangL.HuangZ.SunD.QinJ.-S.FengL.et al (2020). Continuous Variation of Lattice Dimensions and Pore Sizes in Metal-Organic Frameworks. J. Am. Chem. Soc.142, 4732–4738. 10.1021/jacs.9b13072
98
ZhangC.LaiC.ZengG.HuangD.YangC.WangY.et al (2016). Efficacy of Carbonaceous Nanocomposites for Sorbing Ionizable Antibiotic Sulfamethazine From Aqueous Solution. Water Res.95, 103–112. 10.1016/j.watres.2016.03.014
99
ZhaoH.LiuX.CaoZ.ZhanY.ShiX.YangY.et al (2016). Adsorption Behavior and Mechanism of Chloramphenicols, Sulfonamides, and Non-Antibiotic Pharmaceuticals on Multi-Walled Carbon Nanotubes. J. Hazard. Mater.310, 235–245. 10.1016/j.jhazmat.2016.02.045
100
ZhouH.-C. J.KitagawaS. (2014). Metal-Organic Frameworks (MOFs). Chem. Soc. Rev.43, 5415–5418. 10.1039/c4cs90059f
101
ZhouH.-C.LongJ. R.YaghiO. M. (2012). Introduction to Metal-Organic Frameworks. Chem. Rev.112, 673–674. 10.1021/cr300014x
102
ZhuX.ZhengH.WeiX.LinZ.GuoL.QiuB.et al (2013). Metal-Organic Framework (MOF): A Novel Sensing Platform for Biomolecules. Chem. Commun.49, 1276. 10.1039/c2cc36661d
103
ZhuY.ZhangZ.LiW.LeiZ.ChengN.TanY.et al (2019). Highly Exposed Active Sites of Defect-Enriched Derived MOFs for Enhanced Oxygen Reduction Reaction. ACS Sustain. Chem. Eng.7, 17855–17862. 10.1021/acssuschemeng.9b04380
Summary
Keywords
defect, water, environment, MOFs, removal
Citation
Cao Y, Mi X, Li X and Wang B (2021) Defect Engineering in Metal‒Organic Frameworks as Futuristic Options for Purification of Pollutants in an Aqueous Environment. Front. Chem. 9:673738. doi: 10.3389/fchem.2021.673738
Received
28 February 2021
Accepted
26 April 2021
Published
16 August 2021
Volume
9 - 2021
Edited by
Minyoung Yoon, Kyungpook National University, South Korea
Reviewed by
In-Hyeok Park, Chungnam National University, South Korea
Sukhendu Mandal, Indian Institute of Science Education and Research, India
Updates
Copyright
© 2021 Cao, Mi, Li and Wang.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiang Li, xiangli0369@bit.edu.cn; Bo Wang, bowang@bit.edu.cn
This article was submitted to Inorganic Chemistry, a section of the journal Frontiers in Chemistry
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