Open Access Article
Xinhao Li
a,
Sergey M. Borisov
b,
Francesco Carraro
a and
Paolo Falcaro
*a
aInstitute of Physical and Theoretical Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria. E-mail: paolo.falcaro@tugraz.at
bInstitute of Analytical Chemistry and Food Chemistry, Graz University of Technology, Stremayrgasse 9, Graz 8010, Austria
First published on 12th March 2026
Zirconium-based metal–organic frameworks (MOFs) possess high porosity, chemical stability, and chemical/structural tunability, making them versatile platforms for colorimetric sensing. This focused review highlights Zr-based MOF applications for the detection of acids and bases, aqueous ions, biomolecules, and volatile and gaseous analytes, discussing the mechanisms of colorimetric response, including host–guest interactions, post-synthetic functional modification, and analyte-induced structural changes. Insights gained from these studies provide guidance for the rational design and fabrication of next-generation MOF colorimetric sensors with enhanced sensitivity, selectivity, and stability.
It should be noted that, according to the Cambridge definition (i.e., chemical sensors are miniaturized analytical devices16), many significant works on powders or aqueous dispersions discussed in this focused review article cannot strictly be regarded as sensors. However, we acknowledge that the disclosed sensing properties have the potential to lead to devices via subsequent fabrication/integration steps. In practical terms, such developments must ultimately address how sensors are used in real applications. Although numerous systems operate as single-use sensors, users increasingly require devices that can function reliably over extended periods and through multiple cycles. Consequently, advanced sensors should combine reversibility and regenerability, ideally enabled by simple and efficient regeneration procedures.
Among the different MOF subclasses, for colorimetric sensing, Zr-based MOFs are widely explored. While literature reports widespread assessments on their reproducibility,23 different synthetic approaches are currently explored to progress industrial manufacturing.24–27 The strong Zr–O bonds endow Zr-based MOFs with a robust framework, making the structure stable to exposure to water, acids, and bases.23,28–33 Most Zr-based MOFs feature Zr6 clusters as secondary building units (SBUs), which are usually coordinated with organic ligands in 6-, 8- and 12-connected coordination numbers. The high connectivity offers effective protection to the Zr6 metal core. The open coordination sites that are not involved in framework formation are usually capped by small molecules such as acetic acid, benzoic acid, or water molecules. Furthermore, these open coordination sites can also be readily modified with functional groups, expanding the application range of some environmentally sensitive functional molecules. In addition, both the ligands and Zr6 clusters can serve as adsorption sites for specific analytes, enabling diverse recognition pathways and tunable sensing responses.
The presence of tunable coordination sites and multiple adsorption sites makes Zr-based MOFs highly versatile for sensing applications. These structural features not only enable selective interaction with target analytes but also provide a rational basis for organizing the discussion of their properties and applications in this review. This review is organized into five main sections. The first section examines structural and chemical properties of eight representative Zr-based MOFs, correlating these material properties to their colorimetric sensing performances. The second section focuses on applications in four key fields, such as 1) acids and bases detection, 2) aqueous ion sensing, 3) biomolecule detection, and 4) gas and vapour sensing. Attention is given to the underlying colorimetric mechanisms and fabrication methods. The third section provides an overview of the reported Zr-based MOF colorimetric sensors, including a comparative summary and critical discussion of their target analytes, functional sites, and fabrication strategies. This section also examines the strengths and limitations of different design approaches and identifies the remaining challenges for achieving practical and efficient sensing systems. The fourth section summarizes how MOF particles can be fabricated into functional films, membranes, or patterned structures suitable for practical sensing applications. Finally, a summary and outlook are presented, highlighting future directions for the rational design and practical development of Zr-based MOFs colorimetric sensors.
This review focuses on Zr-based MOFs for colorimetric sensing applications under visible light irradiation, with particular emphasis on systems that generate visible colour changes which can be directly observed by the naked eye. This focus enables a clearer discussion of analyte, functional sites and fabrication methods in relation to practical applications. For readers interested in MOF-based optical sensing strategies that include photoluminescence or fluorescence effects, several recent reviews provide systematic and detailed discussions.34–38
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| Fig. 1 The structures of Zr6O8 cluster, Zr6O8 SBU and 8 zirconium-based MOFs. The notation used to describe SBUs is consistent with the one reported by Kaskel.44 | ||
In contrast to the unique rod topology of MIL-140(Zr), the other seven MOFs are composed of Zr6O8 metal clusters.43 Each Zr6O8 cluster contains eight oxygen (μ3-O) atoms, four of which are generally considered to be hydroxyl groups, coordinating the zirconium atoms at the eight faces of the octahedron.45,46 These Zr6O8 metal clusters connect with the carboxylate groups of organic ligands through three different coordination numbers—6-connected, 8-connected, and 12-connected—forming distinct secondary building units (SBUs) centred on the Zr6O8 clusters.
Among these Zr6O8-based MOFs, UiO-66 and its isoreticular framework UiO-67 are representative examples of the 12-connected category and share the same fcu topology.46,47 Their organic ligands, BDC (UiO-66) and biphenyl-4,4′-dicarboxylic acid (BPDC) (UiO-67), are both linear dicarboxylate ligands with two connectivity points. With the benefit of longer ligands, UiO-67 provides a larger pore than UiO-66, as reflected in their surface areas, pore sizes, and pore volumes (Table 1). Because of the stable 12-connected Zr6O8 metal cluster, UiO-66 and UiO-67 both exhibit high thermal stability, with decomposition occurring above 400 °C.47,48 By employing modulators and deprotonating agents,47,49 UiO-66 and its isoreticular frameworks (UiO-67, UiO-68, UiO-66-NH2, etc.) can be synthesized through modified solvothermal procedures.50
| MOFs | Topology | Surface area (m2 g−1) | Pore sizes (Å) | Pore volume (cm3 g−1) | Ref. |
|---|---|---|---|---|---|
| MIL-140(Zr) | gui | 450 | 3.2 | 0.20 | 40, 41 |
| MOF-808 | pcn | 2060 | 18.4 | 0.84 | 53, 54, 60 |
| PCN-224 | she | 1616 | 19 | 1.60 | 33, 58 |
| MOF-525 | ftw | 1955 | 18 | 0.55 | 30, 52, 59 |
| PCN-222 (MOF-545) | csq | 1998 | 17 | 1.65 | 31, 59 |
| UiO-66 | fcu | 1187 | 6, 12 | 0.46 | 28, 46, 60 |
| UiO-67 | fcu | 1648 | 12, 23 | 0.68 | 28, 47, 61 |
| PCN-223 | shp | 1600 | 12 | 1.10 | 51 |
MOF-525 also features a 12-connected metal cluster, constructed from square-shaped meso-tetrakis(4-carboxyphenyl)porphyrin (TCPP) ligands, and adopts an ftw topology.30 Each ligand coordinates with the edges of the Zr6O8 octahedron metal cluster, thus constructing a stable framework. For example, MOF-525 exhibits good thermal stability (decomposition starting from 400 °C) and acid stability (pH = 5, 24 h), and can be synthesized via a solvothermal method at a relatively low temperature (65 °C).30
The lattice of PCN-223 is also constructed by connecting TCPP ligands; however, PCN-223 has a shp topology.51 Its Zr6O8 metal cluster forms 12 connections through eight di-dentate carboxylates and four mono-dentate carboxylates. The metal clusters are disordered around a threefold rotational axis, exhibiting an unusual Zr6 cluster in a 12-connected hexagonal prism mode as the structural node, rather than the octahedral Zr6O8 cluster found in MOF-525. This topology results in relatively larger pores, with a pore size of 12 Å and pore volume of 1.10 cm3 g−1. The synthesis of PCN-223 can be achieved via solvothermal methods.50
By modifying the solvothermal synthesis method, the Zr6O8 cluster and TCPP ligand can construct PCN-222 (also called MOF-545).31 In its framework, the octahedral Zr6O8 cluster has two carboxylate groups (–COO−) linked to each face. This results in the 8-connected category, adopting a csq topology and featuring two types of pores with different shapes and sizes—triangular and hexagonal. This pore environment provides a pore size of 17 Å, and a large pore volume of 1.65 cm3 g−1, enabling the uptake of larger molecules, either as functional sites or analytes. PCN-222 maintains structural integrity and porosity over a wide pH range that includes severe acidic conditions (pH = 2–9).30 This level of chemical stability, which is rarely observed in MOFs, is advantageous for practical applications as MOF performance can be retained under a variety of working conditions.
In addition to the 12- and 8-connected categories, the Zr6O8 cluster and TCPP ligand can also construct PCN-224, which belongs to the 6-connected category. In PCN-224, all carboxyl groups of the TCPP ligand coordinate to the six edges of the Zr6O8 octahedral cluster that are not perpendicular to the threefold inversion axis, forming PCN-224 with she topology.33 Due to the lower connectivity, the thermal stability of PCN-224 is slightly lower than that of MOF-525, and decomposition starts from 320 °C. Meanwhile, the lower connectivity affords PCN-224 a larger pore volume (1.60 cm3 g−1), which is partly occupied by the remaining TCPP ligands in MOF-525.52
MOF-808 is also constructed by a 6-connected Zr6O8 metal cluster. In contrast to PCN-224, all the carboxylate groups from benzene-1,3,5-tricarboxylic acid (btc) coordinate to the six edges that are perpendicular to the threefold inversion axis of the octahedron, forming a pcn topology to MOF-808.53 Similarly to PCN-224, 6-connectivity offers a considerable pore size (18.4 Å) and pore volume (0.84 cm3 g−1).54 Acetate capping compensates for the lower thermal stability of MOF-808, raising its decomposition temperature to 300 °C.55
In summary, all eight Zr-based MOFs discussed above can be synthesized via solvothermal methods;56,57 however, certain protocol customizations significantly reduce the reaction time (e.g., PCN-224, MOF-525).52,58,59 With the exception of MIL-140(Zr), which contains ultramicropores smaller than 7 Å, most Zr-based MOFs exhibit relatively large pore sizes within the microporous to mesoporous range (Table 1). Such pore dimensions facilitate the diffusion and accommodation of small analyte molecules into the framework. The presence of mesopores enables the adsorption of some larger functional units, thereby broadening the potential applications of these MOFs. In addition, their high porosity facilitates the preconcentration of target analytes and provides abundant coordination sites for functional molecules. The high energy of Zr–O bonding (>760 kJ mol−1)56 results in stable frameworks with outstanding thermal stability31,52 and surprising robustness to acid conditions.62 These properties, uncommon among the different MOFs, position these Zr-based MOFs as suitable candidates for stable platform materials for diverse applications. We note that such stability is particularly important in a variety of applications, including biological, electrochemical, and sensing, where frameworks often need to withstand specific acid or base conditions.62
In this section, the colorimetric sensing applications of Zr-based MOFs are organized into four parts. The first one discusses their application in acid and base detection, including some acidic and basic vapours, especially those associated with proton transfer processes. The second part focuses on aqueous ion detection, covering metal ions, non-metal cations, and anions. The third part examines biomolecule detection, especially biogenic amines produced during meat spoilage, pesticide and veterinary drug residues, bacteria, glucose, amino acids, and peptides. The final part addresses the sensing of diverse gases and vapours.
Metal-free porphyrins are well-known to exhibit a distinct colour change from pink to green upon protonation in acidic conditions. This is attributed to the combination of several factors: (i) the change in symmetry from D2h to D4h upon conversion to the dication, resulting in degeneration of the 4 Q-bands in the visible part of the spectrum into two more intense bands63,65 and (ii) saddling distortion of the porphyrin macrocycle and adoption of the non-planar conformation due to steric crowding and electrostatic repulsion in the porphyrin dication.63,66
Similar to solutions in water or organic solvents, porphyrins undergo the same structural and spectral changes upon protonation when utilized as linkers in MOFs.
This phenomenon was first reported by Deibert et al.62 in 2014 as a distinct reversible colorimetric pH response on a Zr-based MOF. The authors found that the structure of PCN-222 can undergo a distinct and reversible colour change upon protonation, with the effect being particularly pronounced at low pH. At pH = 0 and pH = 1, the colour changes from purple to green, and turns back to purple after washing the MOF with DMF (Fig. 3). This study reveals that this colour change is not only attributed to the TCPP ligand. Indeed, when comparing the MOF system with the free ligand, at pH = 0, free TCPP molecules show only a colour change limited from purple to blue, and at pH 1, a colour change can hardly be detected by the naked eye. In contrast, the orderly arrangement of TCPP ligands within the framework enhances the optical properties of the TCPP molecules, thereby enabling PCN-222 to respond with a much greater colorimetric change under the same pH conditions. This work represents the first report of a MOF as a pH colorimetric sensor, where the visible colour change is attributed to protonation. It provides researchers with the evident advantage of a MOF crystal organising porphyrin ligand and Zr-based cluster in an accessible extended material for sensing applications.
Although a clear and distinct colour change is observed for porphyrin-based MOFs, such a process typically occurs below pH 5, making them suitable colorimetric sensors in acidic conditions.67 Moreover, as porphyrin rings are capable of chelating metal ions, these sensors are susceptible to metal coordination, even under mild conditions,67 which may lead to spurious positive responses in the presence of metal cation contaminants. Indeed, similar to protonation, chelation with metal ions results in a symmetry change from D2h to D4h and the appearance of two Q-bands instead of four.65
Stimulated by the aforementioned pioneering report, Smith et al.68 further quantified the colour change resulting from protonation of TCPP in MOF-545 (also known as PCN-222). The authors employed the International Commission on Illumination (CIE) L.a.b. Colour space69 to provide a rational analysis of the colour variation. This colour analysis system distinguishes colour by numerical changes along three coordinate axes, enabling the calculation of colour differences (ΔE) through the distance between coordinates. By measuring the colorimetric responses of MOF-545 to various concentrations and types of acids, the authors calculated the total colour change (ΔE) for each case. The results revealed that ΔE is influenced not only by proton concentration but also by the type of anions present. For example, when comparing the colorimetric response to HCl and citric acid, the ΔE value of citric acid at 0.5 M was comparable to that of HCl, and at 0.6 M it even exceeded the response of HCl. Moreover, among the various acids tested, phosphoric acid showed a higher ΔE than others. These data indicate that, within a specific pH range, MOF-545 can respond with different colorimetric changes to different acid types; the range is from brown to green. By using this property, the authors applied MOF-545 to detect four pesticides with different acidity levels (Fig. 4), finding that glyphosate produced the largest colour change among the tested insecticides.
In general, we note that MOF powders can be incorporated into various rigid and flexible matrices. Drawbacks range from sample contamination to sedimentation to limited recyclability, leading to unneeded reproducibility issues and superfluous costs. Therefore, such experiments should be regarded mainly as elegant proof-of-concept studies or preliminary investigations. For the sensor fabrication, it is desirable to implement a MOF positioning technology (e.g., photolithography, imprinting, ink-jet printing70), minimizing readout variability and maximizing cyclability of the final sensing device.
Beyond PCN-222, similar protonation induced colorimetric responses have also been reported in other porphyrin ligand Zr-based MOFs. Sousaraei et al.71 reported that PCN-224 undergoes reversible protonation, accompanied by a distinct and reversible colour change from brown to green, readily observable to the naked eye (Fig. 5). Regeneration can be readily achieved by exposure to a base (Et2NH). The authors incorporated PCN-224 as a functional component into a highly porous polydimethylsiloxane (PDMS) matrix to fabricate mixed-matrix membranes (MMMs), which were applied to the detection of volatile alkaline gases such as Et2NH, Me2NH, and ammonia. In this composite, the optical properties of the pure MOF crystals are preserved. Additionally, compared to a MOF pellet, the polymer/MOF system affords a reduced amount of MOF material required to coat a given surface. The processability of polymers that can be crosslinked on demand (i.e., temperature or light triggered polymerization72), and the retained performance of the MOF even under humid conditions can broaden the range of potential applications for the functional MOF.
Shifting focus to ionogel systems, MOFs have also been incorporated to enhance the mechanical and functional properties of the matrix. Yu et al.73 synthesized MOF-525 through solvothermal methods and employed it as a functional filler in a 3D printing ink to make a tough MOF-based ionogel (MIG). With the modification of MOF-based ionogels, even with a low MOF-525 loading of only 0.2 wt%, the MIG still retained the same purple colour observed on the MOF-525 powders. Interestingly, upon exposure to different acid conditions, the MIG displayed distinct colour changes: from pH 0 to 3, the colour change observed followed the light green, dark green, brown, and red sequence. However, when pH ≥ 4, no colour change could be observed by the naked eye. They successfully developed a wearable material with MIG by 3D printing, demonstrating a design strategy of multifunctional colorimetric sensors involving Zr-based MOFs (Fig. 6). This colorimetric sensor was thought to demonstrate the ability to detect acidic compounds, such as glyphosate pesticides, as sources of environmental pollution. However, considering that the sensor shows a colour change at pH < 4, which corresponds to a highly concentrated glyphosate solution, the system still has room for improvement, particularly in terms of sensitivity.
Post-synthetic modification is an important and widely used strategy to enhance the properties of MOFs or to introduce functional groups onto their frameworks,74 thereby expanding the application range of MOF-based colorimetric sensors. Kim et al.75 coordinated EDTA to the non-structural sites on the Zr6O8 metal clusters of MOF-808, and subsequently complexed metal ions (Cu2+ or Fe3+) with the post-synthetically modified MOF-808-EDTA to obtain MOF-808-EDTA-M (M = Cu or Fe). This Zr-based MOF composite material serves as a proton-triggered colorimetric sensor capable of detecting up to six acidic vapours (HCl, HI, HF, HBr, HNO3, and TFA) through a direct colour change observable by the naked eye (or analysable by camera-based RGB values). The colour change is partially reversible, with about 80% of Cu2+ ions re-chelated during the regeneration process, enabling the sensor to be reused multiple times. Notably, MOF-808-EDTA-M is not simply acid-triggered; for example, upon exposure to HCl, the EDTA ligands on the framework undergo protonation, leading to the loss of Cu2+ coordination. The released Cu2+ ions then bind to Cl−, resulting in a colour change from blue to greenish-yellow. Therefore, both Cl− and H+ are essential for the colorimetric response of acidic vapours by MOF-808-EDTA-Cu (Fig. 7). Furthermore, by incorporating the flexible polymer polyvinylidene fluoride (PVDF), a portable miniaturized acid sensor can be fabricated.
Various device fabrication methods incorporate MOFs as functional fillers into devices.70 Among these approaches, the most common strategies include directly mixing MOFs with substrate materials or coating MOFs onto/with other functional materials, thereby expanding the application range.
Lee et al.76 developed a hybrid matrix air filtration material by incorporating a colorimetric multi-scale nanofiber (NF)/nanonet (NN) membrane onto a net substrate modified with UiO-66-NH2. The NN was fabricated by co-spinning bromocresol purple (BCP), a colorimetric dye, with a polyacrylonitrile solution. The integrated BCP on the composite material exhibited a rapid and reversible colorimetric response to ammonia gas concentrations as low as 20 ppm, with a colour change completed within 5 seconds. It should not be overlooked that it remains unclear whether the incorporation of the MOF was truly beneficial for NH3 sensing, as the colorimetric response originated from BCP, which was incorporated with the MOF into a filter matrix. Additionally, the porous UiO-66-NH2 further enhanced the efficient adsorption of NH3 and acetaldehyde, enabling effective air filtration.
Purple cabbage anthocyanins exhibit a colorimetric response to pH, with corresponding colours from pH 2 to 12, making them excellent pH colorimetric agents.77 However, anthocyanin molecules are often unstable and easily adhere to and stain other substances. Fang et al.78 prepared a composite matrix label material by mixing UiO-66-NH2, anthocyanins, and sodium alginate (SA). The cross-linked SA serves as the label substrate, providing a good platform. UiO-66-NH2 shields UV interference and enhances the interaction between anthocyanins and the label film substrate, resulting in the MOF-anthocyanin label exhibiting good colorimetric responsiveness to pH (Fig. 8). The material exhibits high sensitivity and rapid response to NH3, dimethylamine (DMA), and trimethylamine (TMA), while remaining unaffected by interference from alcohols, aldehydes, and gaseous sulfides, making it suitable for visually indicating early spoilage in shrimp.
The high porosity of MOF structures allows functional dyes to be adsorbed onto their internal surfaces. Du et al.79 loaded alizarin complexone, a colorimetric pH-responsive material, onto the acid- and alkaline-stable fluorescent MOF, UiO-66-NH2, to create the composite material AC@MOF. AC@MOF exhibited a colorimetric response to pH, exhibiting a significant colour change from light yellow to dark pink. In 2025, the same research group combined AC@MOF with a flexible substrate composed of sodium alginate (SA) and bacterial nanofibrillar cellulose (BNC) to create a smart tag based on SA/BNC-AC@MOF.80 This tag exhibited a highly sensitive colorimetric response to pH changes, with colour changes ranging from light yellow to deep red depending on pH value. Furthermore, the fluorescence change under UV irradiation was visible to the naked eye, ranging from light blue to purple. Experiments demonstrated a strong linear relationship (R2 = 0.991) between RGB colorimetric intensity and pH.
Using a similar strategy, Aham et al.81 prepared UiO-66-NH2@RhB by shaking Rhodamine B (RhB) with UiO-66-NH2 for use as a colorimetric sensor to detect perfluorooctanesulfonate (PFOS), a man-made fluorosurfactant now regarded as a persistent acidic pollutant. The coordination between PFOS and RhB triggered structural changes, causing a ring-open reaction of RhB and a rapid fading of the solution's red colour. The material achieved a detection limit of 0.91 nM in real water samples.
Due to their excellent application stability and designable structure, Zr-based MOFs have been widely used as colorimetric sensors for real-time, rapid, and highly sensitive pH monitoring.75,76 Particularly, MOFs constructed by the TCPP ligand, such as PCN-222,62,68 PCN-22470 and MOF-525,73 show reversible colour change in response to pH variations, demonstrating great potential for practical applications.
As noted in the previous section of this review, the structure of porphyrin (Fig. 2a) can be altered through protonation and deprotonation processes.86 In addition to protons, metal cations can also coordinate with the central cavity of the porphyrin ligands in MOFs, thereby inducing structural changes in the framework.87,88 Similar to the protonation process in porphyrin MOFs, the incorporation of metal ions results in the symmetry change to D4h, which can lead to distinct colour changes in the framework. Yang et al.89 employed porphyrin ligands in combination with Hg2+ to develop a PCN-224 framework, synthesized by a solvothermal method in HEPES buffer solution (60 mM, pH = 7), as a colorimetric probe for the selective detection of Hg2+ in aqueous solution. In this system, the porphyrin ligand within PCN-224 framework acts as the recognition site, selectively coordinating Hg2+ at concentrations as low as 0.1 μM in mixed cation solutions, accompanied by a distinct colour change from purple to light green within 2 minutes (Fig. 9). Moreover, the colorimetric probe can be regenerated through treatment with KI solution, although the use of a particle dispersion is not the most convenient set-up for a sensor. This work suggested that incorporating metal ions into the core of porphyrin ligands in MOF structure could be extended to the convenient colorimetric detection of a broader range of metal ions. On the other hand, it should not be overlooked that the materials for pH sensing discussed above, especially those porphyrin MOFs, may also exhibit cross-sensitivity toward heavy metal ions, which could lead to false positive results if not carefully controlled.67
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| Fig. 2 (a) Reversible structural changes of porphyrins upon protonation and deprotonation and (b) saddling distortion of the porphyrin macrocycle and adoption of the non-planar conformation.63–66 | ||
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| Fig. 3 Photographs of PCN-222 samples (a) and ligand TCPP (also called H6tcpp) (b) under ambient light. These samples are exposed to acidic solutions at various concentrations, followed by reversal washes in between each exposure; exposures were made in the order in which they appear from top left to bottom right. Caption photos are intended to demonstrate responsiveness. Reproduced from ref. 62 with permission from the Royal Society of Chemistry, Deibert et al., Chem. Commun., 2014, 50, 9636, Copyright 2014. | ||
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| Fig. 4 (a) Colour response to varying concentration of acid solutions and (b) the acid solutions after the addition of MOF-545. Reproduced from ref. 68 with permission from the Royal Society of Chemistry, Smith et al., Chem. Commun., 2022, 58, 953, Copyright 2022. | ||
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| Fig. 5 (a) The absorption (and fluorescence spectra) of PCN-224 MMMs with distinct and reversible colour change of PCN-224 MMMs in different atmospheres; (b) PXRD patterns confirming reversible structural transformations during the colour transition. Reproduced from ref. 71 with permission from Wiley-VCH GmbH, Sousaraei et al., Adv. Mater. Interfaces, 2021, 8, 2001759, Copyright 2021. | ||
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| Fig. 6 Design of a 3D-printable MOF-based ionogel (MIG). Scheme inspired by ref. 73, Yu et al., ACS Appl. Mater. Interfaces, 2023, 15, 39319–39331. | ||
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| Fig. 7 Schematic illustration of the preparation of MOF-808-EDTA-Cu and its application as a colorimetric acid vapor sensor. Scheme inspired by ref. 75, Kim et al., Nat. Commun., 2025, 16, 385. | ||
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| Fig. 8 (a) UV-vis spectral changes of red cabbage anthocyanin at a pH range from 2 to 12, (b) UiO-66-NH2 composite matrix label material as a colorimetric sensor for monitoring pH over the range of 2–12. Scheme inspired by ref. 78. Fang et al., Int. J. Biol. Macromol., 2024, 276, 133914. | ||
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| Fig. 9 The colorimetric change of PCN-224 in the presence of other metallic cations (5 μM) and Hg2+ (5 μM). Reproduced from ref. 89, with permission from the Royal Society of Chemistry, Yang et al., RSC Adv., 2016, 6, 69807–69814, Copyright 2016. | ||
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| Fig. 10 The colorimetric response of PCN-222 + PO43− to different concentrations of Pb2+. Reproduced from ref. 90 with permission from Elsevier, Liu et al., Sens. Actuators, B, 2024, 420, 136455, Copyright 2024. | ||
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| Fig. 11 (a) Change of MIL-140(Zr)-DHTZ upon exposure to arsenate, (b) colorimetric response to varying concentrations of arsenate. Reproduced from ref. 93 with permission from the American Chemical Society, Razavi et al., ACS Appl. Mater. Interfaces, 2023, 15, 39319–39331, Copyright 2023. | ||
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Fig. 12 Schematic illustration of the preparation and colorimetric sensing process of 5Cl2HA (Zr) MOF. Scheme inspired by ref. 95, Alshammari et al., J. Mol. Liq., 2023, 389, 122787. | ||
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| Fig. 13 The colorimetric label fabricated by printing MOF-ink containing PCN-224 on (a) glass and (b) PET substrates, (c) exhibit a colour change from green to orange after 18 hours of exposure to fresh fish samples. Reproduced from ref. 109, Carbonell et al., Adv. Mater., 2024, 36, 2408770, licensed under CC BY 4.0. | ||
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| Fig. 14 Fabrication of dye@MOF colorimetric sensor array and its application with a deep convolutional neural network (DCNN). Adapted from ref. 123 with permission from the American Chemical Society, Ma et al., ACS Sustainable Chem. Eng., 2021, 9, 16926–16936, Copyright 2021. | ||
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| Fig. 15 A colorimetric alkane recognition system composed of UiO-66 with defects and 7-azaindole. Adapted from ref. 133 with permission from the American Chemical Society, Takashima et al., Inorg. Chem., 2016, 55, 11617–11620, Copyright 2016. | ||
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| Fig. 16 The preparation of PCN-222 and PCN(M). Adapted from ref. 137, Moscoso et al., Small Sci., 2024, 4, 2400210, licensed under CC BY 4.0. | ||
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| Fig. 17 From MOF particles with sensing properties (probes) to sensors via fabrication of MOF films, membranes, and patterns. | ||
Subsequently, Liu et al.90 developed a “traffic light”-type colorimetric assay for the selective detection of heavy metal ions (Cd2+ and Pb2+) in city water samples. This ion-responsive colorimetric system, denoted as PCN-222 + PO43−, appeared as a light red solution and was prepared by mixing PCN-222, synthesized by a solvothermal method, with sodium phosphate and 10 mM Tris-HCl. In the presence of Cd2+ in tap water, the light red solution changed to green, whereas the presence of Pb2+ caused a colour change to yellow (Fig. 10). These colour changes come from interactions between the metal ions and porphyrin ligands. Furthermore, after binding with heavy metal ions, the PCN-222 + PO43− complexes could be separated by centrifugation, enabling water purification.
Following a similar strategy of using MOF ligands as coordination sites for target analytes, Wang et al.91 incorporated a chromophoric ruthenium complex (Ru(H2bpydc)(bpy)(SCN)2) into UiO-67, developing a so-called RuUiO-67, a specific and reversible colorimetric sensor for Hg2+ with a distinct colour change from red to yellow due to coordination of the metal ion to the thiocyanate ligands. The two SCN (thiocyanate) groups of the Ru complex coordinate with Hg2+ in water, enabling detection at concentrations as low as 12 μM. RuUiO-67 exhibited high selectivity toward Hg2+ even in the presence of other competing cations, and the probe could be regenerated by treatment with I−.
Because of their designable structures, MOFs are often subjected to post-synthetically modifications to impart additional unique functions to otherwise stable frameworks.74 Through these modifications, a wide variety of functional units can be incorporated into the framework, thereby extending their utility far beyond that of simple functional molecules.
Building on the concept of post-synthetic functionalization to impart specific sensing properties, Khalil et al.92 treated the pore surfaces of UiO-66 with N-dodecylpyridinium chloride (NDC) as a cationic detergent to impart a positive charge to the framework. The UiO-66 pores were then functionalized with sodium diethyldithiocarbamate (DDTC) to obtain DDTC/UiO-66, which exhibited a rapid colorimetric response to Cu2+ ion in water, changing from white to yellow. The colour change was caused by the complexation of Cu2+ with DDTC, and the yellow colour intensified with increasing Cu2+ concentration. RGB analysis further revealed that the intensity of the sensor in the blue channel decreased as the Cu2+ concentration increased.
Taking advantage of the one-dimensional channels in a water-stable Zr-based MOF MIL-140(Zr) (also known as MIL-140-A), Razavi et al.93 employed it as a template and replaced the BDC ligands in MIL-140(Zr) with H2DHTDCA (dihydro-1,2,4,5-tetrazine-3,6-dicarboxylic acid) by a secondary solvothermal method to obtain MIL-140(Zr)-DHTZ. Because the DHTZ ligand shares a similar para-position dicarboxylic acid structure in its six-membered ring with BDC, MIL-140(Zr)-DHTZ retained the same structure as MIL-140(Zr). In the presence of arsenate (AsO43−) in aqueous solution, the suspension of MIL-140(Zr)-DHTZ displayed a distinct colour change from yellow to pink (Fig. 11), caused by the chemical transformation of the DHTZ ring to a tetrazine ring. MIL-140(Zr)-DHTZ possesses a highly sensitive colorimetric response, enabling detection of arsenate at concentrations as low as 1 nM in water samples.
Beyond arsenate (AsO43−), arsenite (As3+) is another hazardous pollutant of concern in municipal water environments.94 Alshammari et al.95 condensed 5-chloro-2-hydroxyacetophenone onto the amino groups of the UiO-66-NH2 MOF, obtaining a post-functionalized framework named 5Cl2HA
(Zr) MOF. 5Cl2HA
(Zr) exhibited a rapid spectrophotometric response to As3+, detecting concentrations as low as 0.0607 ppm in water samples within 10 seconds (Fig. 12). The solution colour changed from light orange-yellow to progressively lighter shades and eventually became nearly colourless as the As3+ concentration increased. In addition, 5Cl2HA
(Zr) MOF could be regenerated by washing with HCl.
Using a similar strategy, Motora et al.96 employed a diazo coupling reaction to introduce the azo functional groups, obtaining UiO-66-Azo-Im. The post-synthetically modified framework was grafted onto a carboxymethyl cellulose film to form a UiO-66-Azo-Im@CCM composite sensing material, which exhibited a sensitive colorimetric response to heavy metal ions Cu2+ and Co2+ in water, with a distinct colour change from yellow to orange-red (Cu2+) and orange (Co2+). The Cu2+ and Co2+ were adsorbed inside the framework through hydrogen bonding interactions with the amino groups of the ligands, causing energy and charge transfer between the framework and metal ions, thereby leading to the observed colour change.
In addition to the internal surfaces and pores of MOF structures, the external surfaces of MOF particles, which often exhibit a regular polyhedral shape, can also be utilized for post-synthetic modification to introduce functional units.97
Building on this approach, Li et al.98 developed a colorimetric sensor by loading the fluorescent dye FITC (fluorescein isothiocyanate) onto UiO-66-NH2 by simply mixing in water, enabling selective detection of F− ions in aqueous solutions. UiO-66 loaded with FITC exhibited a distinct colour change from colourless to yellow when the F− concentration exceeded 0.9 ppm. This colour change was attributed to the capture of F− ions by the amino groups of the framework, which subsequently affected the interaction between FITC and F−.
Beyond fluoride ions, nitrite (NO2−), an important nitrogen-containing inorganic ion extensively employed in food processing, attracted more and more attention because of its widespread occurrence in food, water, and biological samples.99 In 2025, Fu et al.100 covalently immobilized horseradish peroxidase (HRP) on the amino groups of UiO-66-NH2. The high surface area and porosity of UiO-66-NH2 enhanced enzyme immobilization and substrate mass transfer, and HRP catalyzed TMB/H2O2 oxidation. In the presence of NO2−, oxTMB undergoes a diazotization reaction, providing a visible colour change from blue to green to yellow, enabling a detection range of 5–250 μM.
In the same year, they further fabricated the HRP-on-UiO-66-NH2 into a portable test kit made with gelatine, extending the upper limit of detection up to 400 μM.101 Although HRP is introduced in these two nitrite sensors, its role is primarily catalytic rather than biological recognition. Enzyme-MOF composites have also been widely employed in biomolecule sensing, as illustrated in the next subsection.
MOFs offer multiple coordination sites for metal ions through both their ligands and SBUs, a feature particularly evident in PCN-22290 and PCN-224,89 which are constructed by porphyrin ligands. Meanwhile, robust Zr-based frameworks can be functionalized, further expanding the available coordination sites for metal ions,91,92,96 non-metal cations,95 and anions93,98,100,101 in aqueous solutions. The development of MOF colorimetric ionic sensors offers an affordable and easily controllable approach for real-time water quality monitoring, which is especially important in regions facing water scarcity.
A key indicator of food spoilage is the presence of biogenic amines (BAs),105,106 and real-time, rapid detection is essential for maintaining food quality and safety.107,108 Carbonell et al.109 fabricated a colorimetric label by printing a MOF-ink containing PCN-224 through digital-light processing (DLP) for the reversible colorimetric response to biogenic amines released during fish spoilage. The printed MOF label exhibited a colour change from green to orange after 18 hours of exposure to fresh fish samples. Unlike the common solvothermal method (Fig. 13), the authors first synthesized Zr6 metal clusters and subsequently stirred them with TCPP ligands in the solvents at room temperature to obtain PCN-224 as a purple powder. After treatment with HCl, the powder turned green because of protonation of the porphyrin ligands in PCN-224, with the purple-to-green colour change62 discussed in the “acids and bases” section of this review. Exposure to biogenic amines triggered the reverse deprotonation process, which led to the observed colour transition. This strategy provides an efficient and convenient approach for real-time monitoring of food freshness.
Thanks to the high stability of Zr-based MOFs, functional modifications allow the integration of different properties into a single material, achieving a synergistic effect.74
Metal nanoparticles, especially gold nanoparticles (Au NPs), are widely used to enhance the colorimetric signal because of the localized surface plasmon resonance (LSPR) effect.110,111 Wen et al.112 integrated photoactive Au nanoparticles (NPs) onto UiO-66, yielding UiO-66/Au NPs with enhanced hydrolysis activity under light excitation. Under illumination at 652 nm, the material hydrolysed ethyl-paraoxon (a pesticide metabolite that can contaminate food) to p-nitrophenol producing an increasingly intense yellow colorimetric response. Because the Zr6 clusters in UiO-66 resemble the catalytically active sites of natural phosphatases, the paraoxon adsorbed within the pores can coordinate with these metal clusters. The local catalytic microenvironment temperature of UiO-66/Au NPs increased under illumination, thereby enhancing the affinity between the Zr6O8 metal clusters within UiO-66/Au NPs and the hydrolytic substrate. This material combines rapid colorimetric detection and ethyl-paraoxon degradation, providing an effective approach to organophosphorus compounds monitoring and remediation.
Because of the designable structure of MOFs, core–shell MOF composite materials with diverse designability and enhanced selectivity have inspired high scientific interest.113 This strategy synergistically combines the advantages of both components, broadening their applicability across diverse conditions.114 Inspired by this strategy, Hui et al.115 developed a novel core–shell material (UiO@TBTA) with a colorimetric response to glutathione (GSH) by in situ growth of TFPB-TAPA COF (TFPB = 1,3,5-tris[4-formylphenyl]benzene, TAPA = tris[4-aminophenyl]amine) on the surface of UiO-66-NH2 through Schiff base reaction. This MOF@COF composite was applied for colorimetric sensing of GSH in human serum and blood samples, exhibiting a clear colour change from orange to black, which was attributed to hydrogen-bond formation between GSH and the MOF@COF sensor. In addition, intelligent artificial neural network models were employed to achieve precise quantification (1–200 μM) of GSH levels.
Owing to the good stability of Zr-based MOFs, employing them as substrates to expand the application range of biomimetic materials and antibody systems, which can provide specific detection of target analytes, has become a popular strategy.116,117
Building on this strategy, Shang et al.118 developed a biosensor based on bimetallic nanoparticles integrated with a MOF (AgPt/PCN-223-Fe). By modifying the material with anti-E. coli O157:H7 antibodies, Ab2@AgPt/PCN-223-Fe was prepared for colorimetric detection of E. coli O157:H7 in the range of 103–108 CFU mL−1, with a visible colour change from colourless to blue-green. In addition, AgPt/PCN-223-Fe exhibited an antibacterial rate of 99.94% against E. coli O157:H7 in the presence of small amounts of H2O2 with near-infrared (NIR) irradiation for 20 minutes. The assay was conducted in a portable 3D cassette, and the results were analysed using a smartphone equipped with a customized application.
In 2024, Zhong et al.119 employed PCN-222 as a nanotag conjugated with antibodies to prepare PCN-222–mAbs, which exhibited optical properties and a colorimetric response toward 3-[(4-carboxyphenyl)monomethyl] amino-2-oxazolidinone (CPAOZ), a derivative of furazolidone metabolite, as common veterinary drug residues found in food. The paper-based PCN-222-lateral flow assay was successfully applied to detect CPAOZ in shrimp, chicken, and milk samples.
Building on these lateral flow assays, Ren et al.120 employed UiO-66-NH2 as a high surface area scaffold to stabilize and disperse Pt nanoparticles (PtNPs) with high molar absorption coefficients, improving signal intensity and background tolerance in a dual-site immunochromatographic assay for the detection of ZEN (zearalenone) and FB (fumonisin B), two hazardous food contaminants commonly found in corn. However, in this LFIA (lateral flow immunoassay) system, the colorimetric response originates from the PtNPs rather than the MOF itself, which conceptually differs from MOF-intrinsic colorimetric sensing.
Huang et al.121 applied a core–shell approach in which PCN-222 was coated with liposomes, enabling its use as a stable platform for an LFIA method. The paper-based PCN-222@liposomes-LFIA sensor was applied to detect sulfonamides (SAs), a class of veterinary drugs, in chicken, shrimp, and milk.
The judicious design of a sensor array can overcome the limitations in sensitivity and clarity of a single sensor.122 Ma et al.123 developed a paper-based cross-reactive colorimetric sensor array, termed dye@UiO-66-Br/chitosan, by combining dyes with MOF particles (UiO-66 and UiO-66-Br) and integrating with a deep convolutional neural network (DCNN) platform (Fig. 14). Seven selected dyes, each responsive to specific biogenic amines or pH ranges, exhibited distinct colour changes. By analysing the scent fingerprint generated from the colorimetric responses of multiple dye@MOF functional units to volatile biogenic amines released during shrimp spoilage, the DCNN could accurately assess shrimp freshness. The integration of artificial intelligence (AI) with MOF-based sensors shows promising potential for future applications.
With a similar strategy, Zhao et al.124 developed a carboxymethyl cellulose-based colorimetric nano-sensor array incorporating ionic liquid-tuned anthocyanins, UiO-66, and nano-silica for real-time monitoring of pork freshness. The integration of UiO-66 significantly improved the sensor's mechanical properties, thermal stability, and sensitivity. The colorimetric unit that relies on four ionic liquid-tuned anthocyanins detected five volatile amines released during pork spoilage. Predictions of pork freshness using four deep convolutional neural network models all achieved accuracy rates above 97%.
Owing to the high substrate specificity of enzymes, enzyme-MOF composites have been widely applied in biomolecule sensing, especially for glucose, amino acids, and other small biomolecules.125–128 Within these composites, MOFs typically provide protection and enable the enzyme to maintain its activity in the presence of physical, chemical, and mechanical stressors.127 By adopting this approach, Ilacas et al.129 immobilized glucose oxidase (GOx) onto the surface of the PCN-222(Fe) framework by simply mixing it in the solvent to obtain a GOx-on-MOF system. However, it has been clearly reported that the notation enzyme@MOF should be used when the enzyme is encapsulated or infiltrated within the MOF framework, whereas enzyme-on-MOF is appropriate when the enzyme is immobilized on the outer surface of the MOF particles127 (this nomenclature will be used in the current review paper). The resulting GOx-on-MOF was further encapsulated with multiple layers and printed onto chromatography paper to fabricate a paper-based microfluidic device for the colorimetric detection of glucose. KI solution and the test sample were added to the designed holes on the paper-based assay, where the presence of glucose in the sample induced a colour change from colourless to yellow and then brown with increasing glucose concentration. The average inverse yellow intensity of the paper-based sensor showed positive correlation with glucose concentration.
Another similar study by Zhong et al.130 reported the selective colorimetric detection of glucose using the same GOx-on-MOF-type materials. They mixed GOx-on-MOF-545(Fe)(equal to PCN-222(Fe)) with ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) in PBS buffer, which catalysed glucose through a catalytic cascade reaction, exhibiting excellent ability to detect low glucose concentrations (0.28 μM) with high specificity. In various saccharide aqueous solutions with fructose, maltose, lactose, sucrose, and glucose, only glucose induced a colorimetric change from colourless to blue-green. With the protection offered by the MOF-545(Fe) surface, the recyclability and long-term stability of immobilized GOx were substantially improved when compared to free GOx.
With a similar approach, Li et al.131 immobilized GOx onto hierarchically porous MOFs (HP-MOFs) to achieve multi-enzymatic cascade reactions, enabling a colorimetric response to glucose. They synthesized HP-PCN-222(Fe) with different mesopore distributions by using a modulator-induced-defect formation strategy. HP-PCN-222(Fe) facilitated cascade reaction efficiency for glucose colorimetric detection by catalysing the oxidation of the 3,3′,5,5′-tetramethylbenzidine (TMB), which makes a colourless solution turn light yellow with limit of detection (LOD) as low as 20 μM.
Besides GOx, the previously mentioned horseradish peroxidase (HRP) is another commonly used enzyme; Dong et al.132 employed a bimetallic Ce/Zr-UiO-66 MOF with high surface area and structural stability as a platform to immobilize HRP for colorimetric signal generation and a BSA–chloramphenicol (bovine serum albumin–chloramphenicol) conjugate as a competing antigen in an immunosensing system. Chloramphenicol in water, fish, and urine samples was quantified based on a competitive immunoassay, exhibiting a concentration-dependent colorimetric response from deep blue to pale blue. In addition, the Ce (Ce3+/Ce4+ pairs) within the MOF enhanced the HRP catalyzed oxidation of TMB, leading to an accelerated colorimetric response.
With defined chemical and crystalline structures, researchers can design MOF composite materials based on selected structures of frameworks for specific target bioanalytes.109,112 However, post-synthetic modification method remains a popular strategy, allowing the functional molecules to be incorporated and achieving improved properties with simple fabrication approaches such as paper-based platforms,118–121,123,129,132 casting methods,124 sensor assays,123 and solution processing.115,130,131 In general, MOF-based colorimetric biosensors offer a versatile platform to assess food quality and hygiene conditions, with the potential to improve people's life quality and environmental sustainability.
Isoreticular expansion134 allows changing the metrics of the linker while retaining the overall topology. By replacing the original BDC ligands with pre-modified 2,5-dinitro-1,4-benzenedicarboxylic acid (H2BDC-(NO2)2) ligands, Nandi et al.135 synthesized UiO-66-(NO2)2, an isostructural analogue of UiO-66, through a conventional solvothermal method. This material exhibited a selective colorimetric response to H2S in a simulated biological medium (HEPES buffer, pH = 7.4), with the solution colour changing from pale yellow to a distinct red. The authors also found that UiO-66-(NO2)2 could exclude other interfering compounds in the buffer matrix, demonstrating a highly selective colorimetric response to H2S with a detection limit as low as 14.14 μM. This material is likely to be applicable to a variety of detection scenarios, ranging from human plasma up to municipal water samples.
Using the open sites on the Zr6 clusters not participating in framework formation, Marquaedt et al.136 post-synthetically coordinated Cu(II), introduced as CuCl2 or Cu(OAc)2, onto the Zr6 clusters of MOF-808 to synthesize Cu-MOF-808. The incorporated copper ions in Cu-MOF-808 showed a colour change from light green to light blue during activation, and a rapid shift to brown upon exposure to H2S gas. This distinct colour change is due to a redox reaction between H2S and Cu(II) within the pores, temporarily reducing Cu(II) to Cu(I). A cyclic test demonstrated that Cu-MOF-808 undergoes rapid reversible colorimetric response to H2S vapour at a concentration as low as 100 ppm within 2.2 minutes, with regeneration achieved by heating and cooling under humid conditions.
Building on the previously described mechanism of cations' interaction with porphyrin ligands, Moscoso et al.137 developed a MOF-based sensor array for colorimetric detection of various gases and vapours. The colorimetric sensor matrix was constructed from PCN-222 and PCN-222 variants with 5 metals in the central cavity (Ag+, Zn2+, Fe2+, Cu2+, and Co2+) via a microwave-assisted synthesis method (Fig. 16). Subsequently, MOFs were incorporated into a PDMS polymer to prepare PCN@PDMS membranes. In total, 12 test volatile and gaseous analytes were examined, including acidic vapor, basic vapor, nitroaromatic compounds, volatile organic compounds, polar and nonpolar solvent vapor. Each PCN@PDMS exhibited distinct colorimetric intensities and response patterns toward different analytes, enabling discrimination through the overall matrix. For instance, PCN-222@PDMS displayed a rapid and strong colour change from brown to green within 4 seconds upon exposure to HCl vapor, but showed no response to tetrahydrofuran (THF) vapor. The sensor matrix demonstrated the capability for distinguishing gases and vapours with different functional groups and acid–base properties through barcode-like recognition patterns, while also exhibiting high stability and maintaining performance after storage for over three months.
With the assistance of AI, You et al.138 developed an olfactory visualization assay combining a colorimetric array with densely connected convolutional networks (DenseNet) for detecting ethylene. UiO-66-NH2 was used to load Pb2+ (with K2PdCl4 type) and pH-sensitive dyes, enabling pre-concentration of C2H4 and thereby enhancing detection sensitivity. In the Pb2+-dye/NH2-UiO-66 composites, C2H4 reduced the Pb(II) to Pb(0), generating HCl, which altered the colour of the dyes. Eight different dye-loaded UiO-66-NH2 units produced distinct olfactory fingerprints that were analysed by DenseNet-based image classification, enabling real-time, low-cost monitoring of fruit ripeness.
MOFs with customized structures provide valuable platforms for studying host–guest interactions and structure–activity relationships, thereby guiding the design of frameworks for colorimetric detection of volatile and gaseous analytes.133 With the assistance of AI, pattern recognition from a sensor array135,138 is an affordable challenge for users, facilitating the development of various MOF-based colorimetric gas sensors.
| Materials | Analyte | Function sites | Fabrication | Dynamic rangea | Reversibility | Ref. |
|---|---|---|---|---|---|---|
| a In this table, we report the dynamic range as we intentionally prefer to focus on experimentally demonstrated sensing responses. | ||||||
| PCN-222 | Acid | Porphyrin ligands | Powder | pH = 0–4 | Yes | 62 |
| PCN-222 | Acid | Porphyrin ligands | Aqueous dispersion | — | No | 68 |
| PCN-224 (protonated) | Base | Porphyrin ligands | Membrane | — | Yes | 71 |
| MOF-525 | Acid | Porphyrin ligands | Ionogel | pH = 0–3 | Yes | 73 |
| MOF-808-EDTA-M | Acid (vapours) | EDTA-M (M = Cu or Fe) | Film | Six acid vapours | Yes | 75 |
| UiO-66-NH2-BCP | NH3 | Dye (BCP) | Membrane | >20 ppm | Yes | 76 |
| UiO-66-NH2-anthocyanin | Acid and base | Dye (anthocyanin) | Label film | pH = 2–12 | Yes | 78 |
| AC@UiO-66-NH2 | Acid and base | Dye (alizarin complexone) | Aqueous dispersion | pH = 2–11 | Yes | 79 |
| AC@UiO-66-NH2 | Acid and base | Dye (alizarin complexone) | Label | pH = 2–11 | Yes | 80 |
| UiO-66-NH2-RhB | PFOS | Dye (RhB) | Aqueous dispersion | >0.91 nM | No | 81 |
| PCN-224 | Hg2+ | Porphyrin ligands | Aqueous dispersion | >0.1 μM | No | 89 |
| PCN-222 + PO43− | Pb2+, Cd2+ | Porphyrin ligands | Aqueous dispersion | >1 μM | No | 90 |
| RuUiO-67 | Hg2+ | Ruthenium complex | Aqueous dispersion | >12 μM | No | 91 |
| DDTC/UiO-66 | Cu2+ | DDTC | On filter paper | >7.7 nM | No | 92 |
| MIL-140(Zr)-DHTZ | AsO43− | DHTZ (as ligand) | Aqueous dispersion | >1 nM | No | 93 |
| UiO-66-NH2-5Cl2HA | As3+ | 5-Chloro-2-hydroxyacetophenone | Aqueous dispersion | >0.07 ppm | Yes | 95 |
| UiO-66-Azo-Im | Cu2+, Ni2+, and Co2+ | Amino ligands | Paper based | >0.1 mM | No | 96 |
| UiO-66-NH2 | F− | Dye (FTIC) | Aqueous dispersion | >0.9 ppm | No | 98 |
| HRP-on-UiO-66-NH2 | NO2− | Aqueous dispersion | oxTMB | 5–250 μM | Yes | 100 |
| HRP-on-UiO-66-NH2 | NO2− | Portable kit (gelatine) | oxTMB | 10–400 μM | Yes | 101 |
| PCN-224 (protonated) | Biogenic amines | Porphyrin ligands | Label | — | Yes | 109 |
| UiO-66/Au NPs | Pesticides (paraoxon) | Zr6 clusters | Aqueous dispersion | 0.68 μg mL−1 | No | 112 |
| UiO-66-NH2@TBTA COF | Glutathione | Amino ligands | Aqueous dispersion | >0.14 μM | No | 115 |
| Ab2@AgPt/PCN-223-Fe | Bacteria (E. coli O157:H7) | Antibodies | Paper based | 276 CFU mL−1 | No | 118 |
| PCN-222–mAb | Veterinary drug residues (CPAOZ) | Antibodies | Paper based | 1.0 ng mL−1 | No | 119 |
| PtNPs@UiO-66-NH2 | Fusarium toxins | Paper based | PtNPs | 0.15–5 ng mL−1 (ZEN) 0.6–10 ng mL−1 (FB) | No | 120 |
| PCN-222@liposome-LFIA | Veterinary drug residues (CPAOZ) | PCN-222 | Paper based | 0.05–50 μg g−1 | No | 121 |
| Dye@UiO-66-Br/chitosan | Amine gases (biogenic amines) | Dye (Zn-TCPP, methyl red and curcumin) | Casting sensor array | >40.7 ppm | No | 123 |
| UiO-66-anthocyanins | Biogenic amines | Dye (anthocyanins) | Casting sensor array | >50 ppm | No | 124 |
| GOx-on-PCN-222(Fe) | Glucose | Enzyme (GOx) | Paper based | >0.25 mM | No | 129 |
| GOx-on-PCN-222(Fe) | Glucose | Enzyme (GOx) | Aqueous dispersion | >0.28 μM | No | 130 |
| GOx-on-HP-PCN-222(Fe) | Glucose | Enzyme (GOx) | Aqueous dispersion | >20 μM | No | 131 |
| Ce/Zr-UiO-66 | Chloramphenicol | Paper based | Enzyme (HRP) | 0.1–5000 ng mL−1 | No | 132 |
| UiO-66(7-azaindole) | Gas (alkane) | Zr6 clusters | Powder | — | No | 133 |
| UiO-66-(NO2)2 | H2S | Nitro ligands | Aqueous dispersion | >14.2 μM | No | 135 |
| Cu-MOF-808 | H2S | Cu(II) | Powder | >100 ppm | No | 136 |
| PCN-222(M)@PDMS | Gas (vapour) | Porphyrin ligands | Membrane sensor array | — | No | 137 |
| Pb2+-dye/NH2-UiO-66 | Ethylene | Pb(II) + dye | Membrane sensor array | >25 ppm | No | 138 |
From the perspective of analytes, the Zr-based MOF colorimetric sensors covered in this review mainly focus on these four aspects: acid and base, aqueous ions, biomolecules, and volatile and gaseous analytes. In particular, some studies involving food safety monitoring and the detection of volatile and gaseous analytes show considerable application potential.75,109,112,119,121,123,124,133,137 These reports offer innovative strategies and ideas to address many challenges of practical interest, with recent studies further highlighting the functional versatility of Zr-based MOF systems in sensing applications.139–143 However, for some analytes, such as acids, mature materials already exist, like pH paper strips, which are usually cheap and convenient. Therefore, there is limited incentive to develop new and expensive alternatives. In contrast, for some analytes, such as volatile biogenic amines, these MOF colorimetric sensors represent a step forward, even if they are chemically based on the same principle. It should be noted that the selectivity in these Zr-based MOF colorimetric systems is largely governed by the sensing mechanisms rather than analyte categories alone. In practical applications, similar functional sites may interact with different analytes under various conditions, resulting in potential cross-sensitivity.
Beyond analyte selection, and in close connection with the sensing mechanism, the rational design of functional sites within MOFs plays a crucial role in achieving efficient and specific sensing responses. Functional sites, located either on the organic ligands or metal clusters68,70,73,89,90,96,109,115,133,135,137 that can interact with those analytes, have been incorporated into MOF structures, reflecting a deep understanding of the relationship between structure and properties in MOFs. Although some functional units are not suitable for direct incorporation into frameworks, they can be combined with MOF structure by post-modification or adsorption, with the porous structure within the MOFs providing both protection and support. However, a few studies involve overly complex combinations of multiple functional materials, without fully utilizing the advantages of the intrinsic porous structure of MOFs.
In addition to analyte and framework design, fabrication methods strongly affect the practical applicability of MOF-based colorimetric sensors. Many systems are used as aqueous dispersions, accounting for ca. 40% of the examples in this review. Although they can serve as assays, this format is neither cheap nor environmentally friendly. MOF particles in aqueous dispersion are typically discarded after use, especially when the colorimetric response is irreversible. Otherwise, they have to be regenerated, which usually requires adding reagents, separation by centrifugation, and repeated washing, which are time consuming and increase the overall cost. As mentioned before, according to the definition of a sensor,16 aqueous dispersions cannot strictly be regarded as sensors, but rather as proof-of-concept assays. This difference in technological readiness indicates the gap between fundamental development and practical application. Therefore, for more practical applications, efforts should focus on developing sensing materials based on immobilized MOF particles. When MOF particles are fabricated as test papers or smart labels,70,75,76,96,109,119,129 which resemble sensors more than a pile of powder or a vial of aqueous dispersion, they exhibit greater tunability and convenience. In addition, the development of artificial intelligence offers great potential for chemical colorimetric sensors, especially when combined with deep convolutional neural networks (DCNNs) and machine learning, providing rapid discrimination and accurate interpretation of the complex signals from colorimetric sensor arrays.123,124,137,138
MOF film deposition represents a common and practical way to transform colorimetric responsive probing materials into sensors.144 MOF films can be prepared by simple physical deposition methods such as spin coating, dip coating, or spray coating, where the MOF powders or dispersions are uniformly distributed on solid substrates.70 Alternatively, techniques involving the controlled growth of MOF directly on substrates include liquid-phase epitaxy (LPE),145,146 layer-by-layer (LbL),147,148 seeding,149 electrochemical,150 and gas phase151 growth that allows direct crystallization of MOFs on functionalized surfaces with improved thickness control and adhesion. These approaches produce rather uniform and stable optical interfaces, enabling reliable colour identification and facilitating integration with optical sensing devices.152
MOF membranes are an alternative and effective way to translate colorimetric responsive materials into sensors.153 MOF membranes can be prepared by in situ growth on porous or flexible supports,154 or via seed-assisted secondary growth to form continuous and well-adhered layers.155 In mixed-matrix membranes (MMMs),156 where pre-formed MOF particles or nanosheets are embedded in polymeric or composite matrices, the polymeric component offers enhanced mechanical stability and processability. Membranes constructed from ultrathin MOF layers provide short transport pathways, high permeability, and rapid analyte diffusion.157 Collectively, MOF-based polymeric membranes can combine optical transparency, structural stability, and efficient mass transport, making them particularly suitable for colorimetric sensing applications.
Although various functional coating materials have already shown promising properties, further effort is required to integrate them into miniaturized functional devices, and an essential step toward such integration is the patterning of these materials.158 For MOFs, patterning consists either of arranging MOF particles into defined patterns or of growing MOFs in situ on solid substrates. Patterning of MOF particles, for example via photolithography and imprinting,159,160 allows precise spatial localization on solid substrates and enables the fabrication of ordered arrays suitable for multi-analyte colorimetric sensing. In situ growth on patterned regions can be, in principle, achieved by established MOF patterning methods, such as spatially controlled growth of MOFs from dissolved precursors,161,162 conversion from positioned insoluble metal-based precursors,163 or from patterns of nucleating agents that trigger localized crystal growth.164 The systematic exploration of these approaches for Zr-based MOFs would enable the integration of the aforementioned robust MOF materials for the fabrication of colorimetric sensors.
Overall, the fabrication of films, membranes, and patterned MOF structures will convert dispersed colorimetric responsive MOF materials into stable, functional interfaces suitable for practical colorimetric sensing applications (Fig. 17).
Future development of Zr-based MOF colorimetric sensors may focus on porphyrin MOFs such as PCN-224, PCN-222, and MOF-525, where porphyrin ligands enable specific colorimetric responses toward ions, gases, and vapours. Beyond porphyrins, the use of other ligands with extended π-conjugation systems to build novel MOFs and systematically investigate their optical properties also presents an exciting opportunity.
With the rapid development of characterization techniques and computational modelling, our understanding of host–guest interactions in MOF materials continues to deepen,165 providing a basis for the rational design of more complex and efficient colorimetric sensors. Furthermore, with advances in scalable synthesis, innovative device architectures, and big data analysis, especially when combined with AI, these sensors are expected to overcome existing limitations and offer significant potential for practical applications in environmental monitoring, food safety, and public health protection.
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