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# Trapping and detecting nanoplastics by MXene-derived oxide microrobots

## Abstract

Nanoplastic pollution, the final product of plastic waste fragmentation in the environment, represents an increasing concern for the scientific community due to the easier diffusion and higher hazard associated with their small sizes. Therefore, there is a pressing demand for effective strategies to quantify and remove nanoplastics in wastewater. This work presents the “on-the-fly” capture of nanoplastics in the three-dimensional (3D) space by multifunctional MXene-derived oxide microrobots and their further detection. A thermal annealing process is used to convert Ti3C2Tx MXene into photocatalytic multi-layered TiO2, followed by the deposition of a Pt layer and the decoration with magnetic γ-Fe2O3 nanoparticles. The MXene-derived γ-Fe2O3/Pt/TiO2 microrobots show negative photogravitaxis, resulting in a powerful fuel-free motion with six degrees of freedom under light irradiation. Owing to the unique combination of self-propulsion and programmable Zeta potential, the microrobots can quickly attract and trap nanoplastics on their surface, including the slits between multi-layer stacks, allowing their magnetic collection. Utilized as self-motile preconcentration platforms, they enable nanoplastics’ electrochemical detection using low-cost and portable electrodes. This proof-of-concept study paves the way toward the “on-site” screening of nanoplastics in water and its successive remediation.

## Introduction

The images of marine environments full of plastic bags, bottles, and other plastic waste are impressed in our minds and mirror humankind’s unpreparedness to manage them1,2. Unfortunately, the actual hazard of plastics is not restricted only to what is visible to our eyes. Plastic materials fragment into smaller pieces with sizes below 5 mm, called microplastics3. These can further break down into even smaller and more dangerous pieces (1–1000 nm), referred to as nanoplastics4,5,6. In fact, microplastics typically sediment on the seafloor, while nanoplastics remain suspended in water due to their lower weight7. Then, they are transported by the ocean currents, diffusing in short times. Because of their high surface-to-volume ratio, nanoplastics can absorb large amounts of toxic pollutants in water and serve as the substrate for the growth of pathogenic bacterial biofilms, increasing their toxicity7,8. Contrarily to the microplastics, they can easily penetrate tissues, posing serious risks to the health of all living beings9.

The detection of nanoplastics in water samples and their consequent removal is critical. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) allow for visualizing nanoplastics but do not provide other information about the plastic material10. Similarly, nanoparticle tracking analysis (NTA) measures the nanoplastics' size distribution and concentration by recording the scattered light from an incident light beam11. Mass spectrometry techniques are also promising for studying nanoplastics. In this regard, Mitrano and coworkers synthesized nanoplastics with a metallic core to monitor their fate in the environment through inductively coupled plasma mass spectrometry (ICP-MS)12. However, a strategy for the rapid and “on-site” screening of nanoplastics in water samples without the need for expensive laboratory instruments and specialized staff is missing13. Besides, the remediation of nanoplastics-contaminated waters is crucial. Conventional approaches for removing microplastics, such as filtration, are not suitable for nanoplastics due to their tiny size14. On the other hand, the concept of microplastics' capture by electrostatic forces using oppositely charged magnetic particles and their successive collection with magnets can be potentially extended to the nanoplastics15.

Micro/nanorobots, combining the unique physicochemical properties of micro/nanoscale materials with the autonomous motion ability and programmable functionalities, are revolutionizing all application fields, including environmental remediation16,17,18, sensing19,20, biomedicine21,22, and electronics23. Specifically, in water remediation, their active movement overcomes the limitation of passive diffusion and enhances the interaction with pollutants, accelerating the purification process24. Among the different micro/nanorobots, light-powered ones are particularly promising for this purpose since light is an abundant and powerful energy source to induce their motion and, at the same time, favor the photocatalytic degradation of pollutants through advanced oxidation processes25. The most investigated light-powered micro/nanorobot consists of a Janus particle formed by a photocatalytic semiconductor (TiO2, ZnO, Fe2O3) asymmetrically covered by a metal layer (Pt, Au)26,27,28. The metal layer deposition can be avoided for some intrinsically asymmetric microrobots (BiVO4, Bi2WO6), but they require small amounts of toxic H2O2 fuel to move under light irradiation29,30. In the last years, light-powered micro/nanorobots have demonstrated remarkable potential for removing microplastics31. Au/Ni/TiO2 micromotors have been used to remove microplastic debris in water32. Pt-Pd/Fe2O3 microrobots were able to break the strong covalent bonds in polymer chains through the photo-Fenton reaction25. Fe3O4/BiVO4 microrobots were used to degrade polylactic acid and polycaprolactone in a confined space33. Microplastics were enzymatically digested by magnetic field-powered mussel-inspired polydopamine@Fe3O4/lipase adhesive microrobots as an alternative to the photocatalytic degradation34. The adsorptive bubble separation by bubble-propelled Fe2O3-MnO2 micromotors has been also identified as an original mechanism for removing microplastics35. The main drawback of these microrobots is that the motion occurs at the bottom of the vessel, i.e., in 2D, due to the gravitational force. Since nanoplastics are suspended in water, a strong self-propulsion with six degrees of freedom is required to catch them properly in 3D.

MXenes are promising 2D materials for the fabrication of novel multifunctional microrobots36. They exhibit the general formula Mn+1XnTx (n = 1, 2, 3), where M is an early transition metal (Ti, Mo, V), X is carbon and/or nitrogen, and Tx is the surface-terminating functionality (−O, − F, − OH)37. MXenes are obtained from the selective etching of the A-element layers from a MAX phase, where A is a group IIIA or IVA element (Al, Si)37. This process results in “exfoliated” MXene microparticles with high surface area and an accordion-like multi-layered structure. Moreover, they exhibit high conductivity, excellent chemical stability, thermal conductivity, hydrophilicity, surface functionality, and environmental compatibility38. As a consequence, they have rapidly emerged in various applications, including water remediation39,40. Among the different MXenes, Ti3C2Tx is the most studied one. Recently, Ti3C2 nanoflakes, obtained after the delamination of the exfoliated MXene via ultrasonication, were turned into fuel-free UV-light-driven micromotors thanks to the deposition of a Pt layer on one side and the superficially formed TiO2 in water41. These micromotors were able to boost the photocatalytic degradation of nitroaromatic explosives in water despite their low speed and small mean-squared displacement (MSD ~ 5 μm2 in 3 s) compared to the other fuel-free light-driven micromotors25,26,27,28,42. In addition, the delamination involved the destruction of the peculiar multi-layered structure of the MXenes, which is promising for the nanoplastics’ trapping.

This work demonstrates the “on-the-fly” capture of nanoplastics in water and their further electrochemical detection through self-propelled light-powered photocatalytic and magnetic MXene-derived oxide multi-layered microrobots. The concept is illustrated in Fig. 1. MXene-derived γ-Fe2O3/Pt/TiO2 microrobots were fabricated through a thermal annealing process of exfoliated Ti3C2Tx MXene microparticles, followed by the asymmetric deposition of a Pt layer and the subsequent decoration with magnetic γ-Fe2O3 nanoparticles. The microrobots showed a negative photogravitactic behavior under UV-light irradiation, resulting in a powerful motion in 3D, and pH-programmable surface charge, which was adequately adjusted to maximize the electrostatic attraction of nanoplastics. SEM and NTA proved the rapid and effective nanoplastics trapping on the microrobots’ surface, including the slits between the formerly MXene’s multi-layer stacks. Acting as self-motile platforms for fast nanoplastics’ preconcentration, the microrobots allowed to detect nanoplastics in water via electrochemical impedance spectroscopy (EIS), using low-cost and miniaturized screen-printed electrodes (SPEs).

## Results and discussion

### Fabrication and characterization of MXene-derived oxide multi-layered microrobots

MXene-derived γ-Fe2O3/Pt/TiO2 microrobots were prepared by thermal annealing of Ti3C2Tx MXene, Pt layer deposition, and surface decoration with γ-Fe2O3 nanoparticles. Figure 2a reports the scheme of the proposed fabrication procedure. Inspired by the work of Low et al., exfoliated Ti3C2Tx MXene microparticles were converted into TiO2 microparticles through a thermal annealing process in air at 550 °C, which has been previously identified as the optimal temperature to prepare TiO2/Ti3C2 MXene composites43. The SEM image in Fig. 2b shows the surface morphology of the pristine Ti3C2Tx MXene, which displays the characteristic accordion-like structure consisting of several Ti3C2Tx multi-layer stacks with a smooth surface. A multi-layer stacks’ thickness of ~20 nm is measured from a high-resolution SEM image (Supplementary Fig. 1a). To preserve the MXene multi-layered structure for nanoplastics’ trapping, the influence of thermal annealing duration on the morphology of the resulting TiO2 microparticles was investigated and optimized (Supplementary Fig. 2). After 120 min at 550 °C, the MXene-derived TiO2 microparticles lose the multi-layered structure due to a significant expansion of the multi-layer stacks, resulting in a continuous and rough surface. By decreasing the duration to 60 min, 30 min, and 0 min, TiO2 multi-layer stacks’ thickness and roughness decrease. Therefore, the optimal MXene-derived TiO2 microparticles were identified as those kept at 550 °C for 0 min. For this reason, all results presented in the following relate to the 0 min annealing condition. Compared to the Ti3C2Tx MXene, these microparticles exhibit multi-layer stacks with a rougher surface and a larger thickness of ~50 nm due to the in situ formed TiO2 nanoparticles (Supplementary Fig. 1b). MXene-derived TiO2 microparticles were asymmetrically covered with a 50 nm thick Pt layer by sputtering and mixed with γ-Fe2O3 nanoparticles for 1 h at room temperature, fabricating light-powered magnetic microrobots. The SEM image in Fig. 2c indicates that the microrobots maintain the multi-layered structure after Pt deposition and γ-Fe2O3 nanoparticles’ loading. The latter can not be directly visualized on the microrobots due to the high surface roughness of the MXene-derived TiO2 microparticles and their small size (<50 nm), as indicated by the SEM image of a cluster of γ-Fe2O3 nanoparticles (Supplementary Fig. 3). The specific surface area of the Ti3C2Tx MXene and MXene-derived γ-Fe2O3/Pt/TiO2 microrobots was measured, finding 3.9 and 6.8 m2 g−1, respectively. The former agrees with previous works, reporting values between 0.5 and 9 m2 g−1 for multi-layer Ti3C2 MXene43,44. The larger surface area found for the microrobots is attributed to the thermal annealing process, converting the smooth Ti3C2Tx surface into TiO2 nanoparticles43, Pt layer deposition, and γ-Fe2O3 nanoparticles’ loading. The preservation of the multi-layered structure is crucial since it avoids sacrificing half of the microparticle’s surface upon Pt deposition, as it occurs for smooth spherical particles. It should be noted that layered titanate presents a similar structure to the MXene-derived TiO2 microparticles, also having the advantage of simpler and cheaper preparation, in principle45. Nevertheless, the utilization of commercial exfoliated Ti3C2Tx MXene and its oxidation into TiO2 via thermal annealing was considered a more reproducible approach in this work.

X-ray diffraction (XRD) patterns in Fig. 2d prove the transformation of Ti3C2Tx into anatase TiO2, which is considered the most photoactive among the different TiO2 crystal structures46. It is worth noting that Low and coworkers found small peaks attributed to Ti3C2 in the XRD pattern of the annealed sample and demonstrated a TiO2/Ti3C2 core-shell structure by high-resolution TEM43. In this work, those XRD peaks were not found in the XRD pattern of any annealed sample, and thus the residual presence of the Ti3C2Tx MXene after the thermal annealing process was not claimed and further investigated. Hence, the optimal sample was referred to as an MXene-derived TiO2 rather than a TiO2/Ti3C2 MXene composite.

Light-absorption spectra of the Ti3C2Tx MXene and MXene-derived TiO2 microparticles (thermal annealing condition: 0 min at 550 °C) are reported in Supplementary Fig. 4. The Ti3C2Tx MXene appears as a black powder absorbing in the visible range from 300 to 700 nm. In comparison, the MXene-derived TiO2 microparticles appear gray with an absorption edge at 400 nm, as expected for TiO2, and a weak absorption in the visible range due to unconverted MXene.

X-ray photoelectron spectroscopy (XPS) was performed to study the surface composition and chemical states of the Ti3C2Tx MXene and MXene-derived TiO2 microparticles (thermal annealing condition: 0 min at 550 °C). The survey spectra reported in Supplementary Fig. 5 indicate the presence of Ti, C, and O in the two samples, as well as F. The F peak is due to the F- ions of the hydrofluoric acid solution used to etch the MAX phase, and it is more pronounced in the pristine sample. High-resolution XPS spectra of Ti 2p, C 1s, and O 1s for the Ti3C2Tx MXene (top panels) and MXene-derived TiO2 microparticles (bottom panels) are shown in Fig. 2e (the binding energy values for all fitted peaks are reported in Supplementary Table 1). Several peaks are identified in the Ti 2p XPS spectrum of the Ti3C2Tx MXene, consistent with previous reports47,48. In contrast, only TiO2 Ti 2p3/2 and Ti 2p1/2 peaks are present for the MXene-derived TiO2 microparticles. A significant difference is observed in the C 1s spectra since the C-Ti-Tx peak at 281.7 eV binding energy disappears for the MXene-derived TiO2 microparticles. Moreover, in the O 1s spectrum of the MXene-derived TiO2 microparticles, the C-Ti-Ox peak is lower than the Ti3C2Tx MXene, while a pronounced TiO2 peak is noted. These results confirm the successful conversion of Ti3C2Tx into TiO2, in agreement with XRD and optical measurements.

Elemental mapping images of several microparticles were acquired by energy dispersive X-ray spectroscopy (EDX) to verify the deposition of the Pt layer and the surface decoration with γ-Fe2O3 nanoparticles (Fig. 2f). These reveal the uniform presence of Ti, O, Pt, and Fe in all microparticles. Besides, the XRD pattern of the final sample exhibited Pt and γ-Fe2O3 characteristics peaks (Supplementary Fig. 6). XPS analysis confirmed the presence of Pt0 and γ-Fe2O3 on the microrobots’ surface (Supplementary Fig. 7), further proving the successful fabrication of MXene-derived γ-Fe2O3/Pt/TiO2 microrobots. The microrobots were also characterized using a vibrating sample magnetometer (VSM) to study their magnetic properties. The measured magnetization curve in Fig. 2g displays no hysteresis with zero coercivity and remanence, pointing to a superparamagnetic behavior. Supplementary Movie 1 shows the fast magnetic collection of the microrobots in water using a neodymium magnet.

### Microrobots’ motion behavior

Proving the self-propulsion ability of the MXene-derived γ-Fe2O3/Pt/TiO2 microrobots in water under UV-light irradiation is crucial for their further utilization as autonomous platforms to catch and trap nanoplastics. Microrobots’ motion was studied in water at pH 7 using an external UV-light source. It was noticed that, without the Pt layer, some MXene-derived TiO2 microparticles could move under UV-light irradiation in the presence of relatively high H2O2 concentrations (>1% H2O2) due to their asymmetric structure. However, their low speed and the required toxic H2O2 made them less attractive than the MXene-derived γ-Fe2O3/Pt/TiO2 microrobots, whose motion did not require fuel or surfactant. Most of the observed microrobots exhibit Brownian motion in dark and autonomous motion under UV-light irradiation on the focal plane (xy plane). Figure 3a reports two frames showing the trajectories of two microrobots after 5 s in dark (left panel) and after 5 s under UV-light irradiation (right panel), while the corresponding video, including also other microrobots, is Supplementary Movie 2. They display a rapid on/off switching of motion with the UV-light, which is reflected in the quick variations of the instantaneous speed vs. time in Fig. 3b. Moreover, a remarkable deceleration is noted within a few s from the beginning of the UV-light irradiation, followed by a plateau. The motion behavior of these microrobots results from the equilibrium between the gravitational force, the buoyancy force, and the driving force of their light-powered self-propulsion, as illustrated in Fig. 3c. The driving force, in combination with the buoyancy force, is not powerful enough to overcome the gravitational force exerted on the microrobots. As a consequence, they can move only at the bottom of the vessel, like for most of the reported semiconductor-based micromotors16,25. This typical motion behavior, limited to the xy plane, will be referred to as “2D motion” in this manuscript.

On the contrary, a relevant fraction of the microrobots showed an anomalous motion behavior, which is presented in the frames reported in Fig. 3d for an on/off switching of the UV-light (the corresponding video, including also other microrobots, is Supplementary Movie 3). In the dark, these microrobots display Brownian motion and are indistinguishable from the microrobots moving in 2D. However, under UV-light irradiation, they unfocus in a few s and completely disappear within 5 s, suggesting a movement in the upward direction. This phenomenon is known as negative photogravitaxis, i.e., a particles’ migration against gravity when irradiated vertically from the bottom of the substrate, which has been previously observed for other photochemical micromotors49,50,51. By turning off the UV-light, they start focusing and landing at the bottom of the microscope glass slide, being under focus within 5–10 s. A similar behavior has been noticed for visible-light-driven TiO2/Fe3O4/CdS microsubmarines42. It is worth remarking that the trajectories reported in Fig. 3d are only the projections on the xy plane of the actual microrobots’ trajectories in the 3D space. Figure 3e reports the instantaneous speed of the two microrobots vs. time. While the speed increases quickly by turning on the UV-light, it decreases slowly by turning it off. This is due to the fact that, during microrobots' landing, they show a displacement. Such passive motion is then translated into a decreasing speed. It was also noted that when turning on the UV-light, most of these microrobots initially undergo a self-orientation, reaching a stand-up position within 100 ms, as shown in Fig. 3f, before starting unfocusing (Supplementary Movie 4). This is ascribed to the powerful driving force exerted on the microrobots, which, together with the buoyancy force, prevails over the gravitational force, inducing their self-orientation and motion with six degrees of freedom, as illustrated in Fig. 3g. This peculiar motion behavior in the xyz space will be referred to as “3D motion”.

Microrobots’ average speed under UV-light irradiation was estimated from more than 100 different microrobots’ trajectories. The measured speed values are reported in the histograms in Fig. 4a for the 2D motion (top panel), i.e., for microrobots moving only on the xy plane, and 3D motion (bottom panel), i.e., for microrobots moving in the xyz space. It is noted that 60% of the analyzed microrobots move in 2D, while 40% move in 3D. The average speed values for the two motion behaviors were obtained by fitting the data with a Gaussian function. Microrobots moving in 2D have an average speed of 9 ± 4 μm s−1, while those moving in 3D have a higher speed of 16 ± 8 μm s−1. The real speed of the latter is even higher since it was calculated (as it is standard in this field) only for their projections on the xy plane. Nevertheless, the speed of microrobots moving in 2D is still comparable to or higher than the other fuel-free semiconductor-based micromotors25,26,27,28,41,42, which is consistent with the large electrochemical potential difference between MXene-derived TiO2 microparticles and Pt electrodes measured by Tafel experiments in ultra-pure water (Supplementary Fig. 8).

To explain the difference in speed between the microrobots moving in 2D and in 3D, which in turn is responsible for the two observed motion behaviors, some considerations regarding the motion mechanism of the microrobots are necessary. The general motion mechanism of light-powered Pt/TiO2 Janus micromotors is represented in Fig. 4b. TiO2 is an n-type semiconductor with a bandgap of 3.2 eV; consequently, it absorbs light in the UV region. Upon exposure to UV-light, electrons are promoted to the TiO2 conduction band, leaving holes in the valence band. The metal/semiconductor Schottky junction at the Pt/TiO2 interfaces facilitates charge separation. Electrons transferred from the TiO2 conduction band to Pt and holes left in TiO2 decompose water according to the reactions reported in Fig. 4b. In particular, the protons (H+) generated at the TiO2 side are consumed at the Pt side to produce H2, establishing an H+ concentration gradient and, thus, a local electric field. This, in turn, drives Pt/TiO2 micromotors’ motion via a self-electrophoretic mechanism with TiO2 as the forward side52. In this context, the Pt coating plays a key role. Pt deposition can be affected by the morphology of the underlying semiconductor microparticle. In fact, for UV-light-powered Pt/ZnO Janus micromotors, it has been demonstrated that a smooth ZnO microparticle results in a continuous Pt coating and the fuel-free motion ability, while a rough ZnO microparticle leads to a discontinuous Pt coating which requires H2O2 fuel for the autonomous propulsion27. Similarly, smooth TiO2 microparticles coated by a continuous Pt layer exhibited a higher speed under UV-light-irradiation in H2O2 than rough ones53. Moreover, it has been shown that transforming a continuous Pt film on SiO2 microspheres into discrete Pt nanoparticles via thermal annealing causes an ~80% decrease in their self-electrophoretic speed due to the lower electric field or fluid flow generated by the discontinuous Pt coating54.

Contrarily to conventional semiconductor microparticles, the MXene-derived TiO2 microparticles present an intrinsic asymmetry owing to the formerly MXene multi-layered structure. By ideally assuming these microparticles as cubes/parallelepipeds formed by several adjacent layers, it is observed that four faces out of six are layered and discontinuous. At the same time, the remaining two are flat and continuous. Pt deposition by sputtering technique is conducted on substrates placed in front of the Pt target. These substrates consist of microscope glass slides on which a suspension of MXene-derived TiO2 microparticles is dropped and dried overnight to form a monolayer of particles. During this preliminary preparation step, it can be assumed that the particles randomly deposit on the glass slides. So, in the ideal case, there is a probability of ~67% and ~33% to have one of the multi-layered or flat faces like the one exposed to the Pt target, as depicted in Fig. 4c. These probabilities are in good agreement with the relative frequency of 2D and 3D moving microrobots (60 and 40%, respectively), suggesting that a continuous Pt deposition on the flat side of the MXene-derived TiO2 microparticle may be the origin of the higher speed and stronger propulsive force of the resulting microrobots. This powerful driving force, combined with the buoyancy, overcomes the gravitational force and unlocks the microrobots’ movement in the upward direction, leading to their 3D motion ability. To corroborate this conclusion, a 2D simulation of the H2 production from the Pt side by consuming the protons generated under UV-light irradiation at the TiO2 side was performed for the two configurations illustrated in Fig. 4c. The simulated H2 concentration spatial distribution after 0.1 s irradiation is shown in Fig. 4d. The continuous Pt coating on the flat side of the MXene-derived TiO2 microparticle produces more H2 compared to the discontinuous Pt coating on the multi-layered side, reflecting a larger H+ concentration gradient and, so, a higher speed and 3D motion ability. This conclusion is consistent with the previously reported stronger propulsion for microrobots coated by a continuous Pt layer27,53,54.

### Nanoplastics’ capture

As representatives for nanoplastic debris, carboxylated polystyrene nanoparticles with a diameter of 50 nm were used. The concentration of nanoplastics in water samples was determined by NTA. This method allows measuring the size distribution and concentration of nanoparticles in environmental, biological, and food samples55. In particular, NTA has been used to estimate the concentration of nanoplastics in water samples and the release of nanoplastics as a result of (micro)plastics’ degradation11. In addition, it has been employed to measure the diffusion coefficient of autonomous nanomotors56,57. The working principle of NTA is schematically illustrated in Fig. 5a. A laser beam passes through the nanoplastics’ suspension in the sample’s chamber. The light scattered by the nanoplastics is observed and recorded using a microscope equipped with a camera. A software tracks the nanoplastics’ Brownian motion at a fixed temperature and, using the Stokes-Einstein equation, calculates their hydrodynamic diameters.

Figure 5b shows the average size distribution of the nanoplastics’ suspension after a dilution by a factor 5 × 104, obtained through NTA. An average size of 50 nm is noted, as expected. The area of the size distribution yields the concentration of nanoplastics, which is ~6 × 109 nanoplastics ml−1 after the dilution. Based on the information provided by the supplier of the carboxylated polystyrene nanoparticles’ suspension and polystyrene density (1.05 g cm−3), nanoplastics’ concentration before the dilution should be 1.5 × 1014 nanoplastics ml−1 (Supplementary Discussion 1). After the dilution, the nanoplastics' concentration should be 3 × 109 nanoplastics ml−1. This value is in good agreement with the nanoplastics' concentration measured through NTA, demonstrating the reliability of the proposed methodology. Before the nanoplastics’ capture experiments with the microrobots, the optimal nanoplastics’ concentration range for NTA was determined by serial dilution. Frames from the videos recorded for the various nanoplastics’ suspensions are shown in Fig. 5c (the videos are reported in Supplementary Movie 5). Nanoplastics are visualized as bright spots on a dark background. It is noticed that the number of the spots decreases by increasing the dilution factor (DF). The corresponding calibration curve is displayed in Fig. 5d. The nanoplastics' concentration (~6 × 109 ÷ 2 × 107 nanoplastics ml−1) is linear over a wide range of dilutions (5 × 104 ÷ 1 × 107).

The proposed nanoplastics’ remediation strategy is represented in Fig. 6a. The MXene-derived γ-Fe2O3/Pt/TiO2 microrobots accelerate nanoplastics’ trapping thanks to the powerful self-propulsion ability under light irradiation and an engineered electrostatic attraction. Then, the microrobots and the trapped nanoplastics are collected magnetically and separated from the treated water. The electrostatic attraction has already been addressed as an effective strategy for capturing polymer chains and microplastics15,25. Therefore, the Zeta potentials of the microrobots and nanoplastics were measured at different pH to maximize their electrostatic attraction (Fig. 6b). The nanoplastics used in this work are negatively charged due to the surface carboxylic groups. At pH 3, their Zeta potential is −60 mV. Contrarily, the microrobots are only slightly positive at pH 7, displaying a Zeta potential of +12 mV. This increases up to +43 mV at pH 3. Therefore, all nanoplastics capture experiments have been conducted in pH 3 water. Microrobots' motility in water at pH 3 was studied. About 13% of the recorded microrobots show the 3D motion, although at a lower average speed than pH 7 (Supplementary Fig. 9). Also, the speed of the 2D motion decreases significantly. This behavior is explained by the higher ionic strength of water at pH 3 or the lower microrobots’ photochemical activity58. In addition, the attraction between the positively charged microrobots and the negatively charged glass slide may contribute to slowing down the microrobots, which more often are stuck to the substrate.

Figure 6c reports the SEM images of a microrobot after exposure to the nanoplastics' suspension before dilution for 1 min under UV-light irradiation. Nanoplastics are noticed on the microrobot's surface, including the slits between the formerly MXene’s multi-layer stacks, demonstrating the efficacy of the multi-layered design and electrostatic trapping. A quantitative study of nanoplastics' capture for different treatment durations (1, 3, and 5 min) was conducted through the NTA. To exploit the entire linear range, the initial nanoplastics’ concentration was set to ~6 × 109 nanoplastics ml−1. γ-Fe2O3/Ti3C2Tx MXene microparticles served as a reference to better evaluate the contribution of microrobots’ self-propulsion to the nanoplastics’ capture. Figure 6d shows frames from the videos of the nanoplastics’ suspensions after the treatments with MXene and microrobots (the videos are reported in Supplementary Movie 6). At the same time, the measured nanoplastics' concentration values are shown in Fig. 6e. Most nanoplastics are still present even after the more prolonged treatment with the MXene microparticles. In particular, after 5 min-long treatment, the concentration of nanoplastics decreased from (6 ± 1) × 109 to (3 ± 1) × 109 nanoplastics ml−1, which corresponds to a nanoplastics' capture efficiency of 50%. It is worth noting that the scattering of the nanoplastics increased after the treatment, which is reflected in the brighter spots in Fig. 6d for 1, 3, and 5 min. On the contrary, the microrobots catch 97% of the nanoplastics within 1 min, leaving only (4.4 ± 0.6) × 107 nanoplastics ml−1 in the water sample after 5 min. In fact, the MXene microparticles land on the bottom of the vessel. Instead, the microrobots can capture many more nanoplastics due to their active motion. Control experiments using the microrobots without UV-light irradiation, i.e., in the static condition, revealed a trend similar to the MXene microparticles (Supplementary Fig. 10), further confirming the crucial contribution of microrobots’ self-propulsion to the nanoplastics' capture process.

The microrobots’ removal capacity qt [mg g−1] was calculated and plotted in Supplementary Fig. 11 to allow a straightforward comparison with “conventional” materials tested under similar conditions in recent studies. The microrobots reached a qt of 0.5 ± 0.1 mg g−1 within 1 min treatment. This value is close to that reported for other materials, such as granular activated carbon (~0.3-0.7 mg g−1 after 15 min)59, cellulose fibers (0.8–0.86 mg g−1 after 5–120 min)60, and untreated coffee grains (>2 mg g−1 after 5 min)61, despite having a larger surface area and being utilized under external agitation.

The microrobots’ reusability has been tested by several nanoplastics’ capture and release cycles (Supplementary Fig. 12). It was found that they could be reused many times as their capture ability decreased slightly after each run.

### Nanoplastics’ detection

The microrobots’ rapid nanoplastics collection ability inspired their use as self-propelled platforms for fast nanoplastics’ preconcentration and further detection through the EIS technique as a cheap, fast, and portable alternative to NTA. The measurement involves a conventional three-electrode electrochemical cell comprising working, reference, and counter electrodes connected to a potentiostat and a redox probe in the electrolyte solution. A small-amplitude sinusoidal voltage is applied to the working electrode at several frequencies. The fit of the EIS spectrum based on an equivalent circuit model allows the determination of the circuit parameters. By monitoring these parameters, EIS can be used to sensitively detect impedance variations at the electrolyte/electrode interface caused by the adsorption of molecules or particles62.

Here, the three-electrode setup has been replaced with commercial SPEs, which have the advantage of miniaturization and portability, low cost, and low sample volume63. To demonstrate the importance of nanoplastics’ preconcentration for sensing, the EIS spectra of an SPE in the absence and presence of nanoplastics (~1012 nanoplastics ml−1) were first measured using Fe(CN)64−/3− as the redox probe. Figure 7a reports the obtained Nyquist plots, showing the impedance real and imaginary parts as a function of the frequency (the corresponding Bode plots, showing impedance modulus and phase as a function of the frequency, are reported in Supplementary Fig. 13). The two curves are almost overlapped and display a small semicircle arc in the high-frequency region (left) and a straight line in the low-frequency region (right). The minor difference between these curves suggests that a bare SPE is insufficient to unambiguously discriminate a nanoplastics-contaminated water sample from a pure one.

An aqueous suspension of the microrobots with captured nanoplastics was dropped onto an SPE to perform the EIS measurement. The SPE was equipped with a magnet on the backside to accelerate the landing of the microrobots and stick them on the working electrode area during the replacement of water with the electrolyte. The same procedure was executed for a suspension of microrobots without nanoplastics, which served as a reference. The Nyquist plots of microrobots with and without captured nanoplastics are also presented in Fig. 7a. A large semicircle is noted in both cases, while the straight line is just hinted. Nevertheless, the diameter of the semicircle in the presence of the nanoplastics is significantly greater. Such variation agrees with a previous report on the increased resistance of conductive membranes after the deposition of latex beads measured by EIS, and it is promising for nanoplastics’ detection64.

Figure 7a shows the fit of the EIS spectra according to the equivalent circuit model depicted in Fig. 7b. This consists of the electrolyte solution resistance (Rs) in series with the double-layer capacitance of the working electrode, described through a constant phase element (Q1) to take into account the nonideality of the capacitor, in parallel with the charge transfer resistance at the electrolyte/electrode interface (Rct) and a second constant phase element (Q2)65. The calculated circuit parameters are reported in Supplementary Table 2. Among all parameters, the most significant variations are observed for Rct, which corresponds to the diameter of the semicircle in the Nyquist plot. Figure 7c displays the calculated Rct values. A negligible increase in Rct is observed for the SPE upon exposure to the nanoplastics’ suspension. The Rct significantly rises after microrobots loading onto the SPE and almost doubles for microrobots with nanoplastics. This observation is consistent with transient photocurrent response measurements, showing a microrobots’ photocurrent decrease after capturing nanoplastics (Supplementary Fig. 14).

The scheme in Fig. 7d allows to better understand the impedimetric behaviors of the samples. Since the nanoplastics are suspended in the solution, the electrolyte/SPE interface remains unchanged. Hence, there is only a tiny difference in the impedance of the bare SPE with and without nanoplastics. The presence of the microrobots leads to a notable increase of the SPE’s Rct due to the low conductivity of the semiconducting TiO2, which represents the main constituent of the microrobots66. This behavior has also been observed after TiO2 loading on FTO electrodes67. The Rct further rises due to the lower microrobots’ conductance in consequence of the inclusion of a large quantity of non-conducting polystyrene nanoparticles68. Additionally, nanoplastics’ capture results in the neutralization of microrobots’ positive surface charge and, thus, the Coulomb repulsion of the redox probe ions (Fe(CN)64−/3−), as demonstrated by the microrobots’ Zeta potential decrease (+43 → −1 eV) after nanoplastics’ capture (Supplementary Fig. 15). This mechanism, similar to the one at the base of DNA hybridization sensors, contributed to the Rct increase62.

The method’s reliability has been verified by measuring the impedance of microrobots exposed to different nanoplastics' concentrations (~106 and 1014 nanoplastics ml−1). Supplementary Fig. 16 shows the recorded Nyquist and Bode plots, whose fitting parameters are reported in Supplementary Table 2. The Rct for the bare microrobots is similar to microrobots with 106 nanoplastics ml−1, suggesting that this low concentration can not produce a detectable impedance variation. On the other hand, a remarkable increase of the Rct (~18000 Ω) was obtained for the microrobots with 1014 nanoplastics ml−1, corroborating the consistency of the proposed sensing strategy.

On these bases, the microrobots quickly accumulate nanoplastics in water and allow determining their presence at concentrations higher than 106 nanoplastics ml−1 through impedance measurements. The rapidity and efficiency of nanoplastics’ preconcentration and EIS measurement, in combination with the low cost and compactness of the SPEs, hold promise for the “on-site” nanoplastics’ sensing in wastewater.

In conclusion, an efficient strategy for removing and detecting nanoplastics in water is presented based on innovative self-propelled light-powered magnetic MXene-derived microrobots. γ-Fe2O3/Pt/TiO2 microrobots were prepared by simple thermal annealing in air of exfoliated Ti3C2Tx MXene microparticles, followed by the deposition of a Pt layer and the surface decoration with magnetic γ-Fe2O3 nanoparticles. The duration of the annealing process was optimized to preserve the characteristic multi-layered structure of MXenes. The microrobots showed a powerful motion in fuel-free water under UV-light irradiation with quick on/off switching. The Pt deposition on the flat sides of the MXene-derived TiO2 microparticles rather than on the multi-layered sides was identified as the reason for the observed higher speed and negative photogravitactic behavior, resulting in the 3D movement of the microrobots, in agreement with numerical simulations. This result proves that a continuous Pt coating generates a stronger micro/nanorobots’ propulsion than a discontinuous one. The ability of microrobots to trap nanoplastics was evaluated through nanoplastics’ capture experiments under UV-light irradiation using carboxylated polystyrene beads (50 nm in size) as a model for nanoplastics in water. SEM analysis confirmed the trapping of nanoplastics on the microrobots’ surface, including the slits between the formerly MXene’s multi-layer stacks. Compared to the static MXene microparticles, the microrobots demonstrated a superior capture efficiency (97% vs. 50% in 1 min), as confirmed by NTA, due to their fast active motion and tailored Zeta potential to attract the oppositely charged nanoplastics. The superparamagnetic behavior of the microrobots allowed their facile collection from the treated water. Owing to their rapid and excellent nanoplastics’ capture capability, the microrobots were employed as self-motile platforms for the preconcentration and successive electrochemical detection of nanoplastics using low-cost SPEs by the EIS technique. Transferring the self-propulsion, photocatalytic, magnetic, and pH-programmable surface charge properties of the microrobots to larger surface area materials would significantly enhance the nanoplastics' capture efficiency and, in principle, reduce the preconcentration time and improve the electrochemical sensor’s sensitivity. This study lays the basis for the “on-site” screening of nanoplastics in wastewater. The multi-layered design of the microrobots is also promising for the removal and subsequent photocatalytic degradation of other organic pollutants in water.

## Methods

### Materials and reagents

Exfoliated Ti3C2Tx MXene was purchased from Laizhou Kai Kai Ceramic Materials Co. Ltd (Hong Kong S.A.R.). Calcium chloride (CaCl2, ≥98%), iron sulfate heptahydrate (FeSO4•7H2O, ACS reagent ≥99%), ammonium hydroxide (NH4OH, 25% NH3 in H2O), potassium hexacyanoferrate(III) (K3Fe(CN)6, ACS reagent ≥99%), and indium tin oxide-coated glass slides (ITO, 75 × 25 × 1.1 mm3, 8–12 Ω sq−1 surface resistivity) were purchased from Sigma-Aldrich (Merck, Germany). Iron chloride hexahydrate (FeCl3•6H2O, 97%) was purchased from Alfa Aesar (Thermo Fisher Scientific, US). Pt target was purchased from Neyco (France). Carboxylated polystyrene nanoparticles (1% solid content in 5 ml water, corresponding to 10 mg ml−1, 50 nm in size) were purchased from Degradex (Phosphorex, US). ET077-40 SPEs (50 × 13 mm2, 3 mm diameter disk working electrode, graphitic carbon powder working and auxiliary electrodes, Ag/AgCl pellet reference electrode) were purchased from Zensor (Taiwan).

### Fabrication of MXene-derived Pt/TiO2 microrobots

Exfoliated Ti3C2Tx MXene microparticles were transformed into TiO2 microparticles by a thermal annealing process conducted in a tubular furnace in air with a heating rate of 10 °C min−1 up to 550 °C. To preserve the accordion-like structure of the MXene, the influence of the thermal annealing process duration (0, 30, 60, and 120 min) on the morphological and structural properties of the resulting TiO2 microparticles was investigated. To fabricate MXene-derived Pt/TiO2 microrobots, a suspension of the optimal (thermal annealing condition: 0 min at 550 °C) MXene-derived TiO2 microparticles (5 mg ml−1) was prepared using ultra-pure water (18 MΩ cm), dropped on glass slides, and dried overnight. Then, a Pt layer (50 nm) was asymmetrically deposited on the microparticles using a Leica EM ACE600 high vacuum sputter coater. The obtained MXene-derived Pt/TiO2 microrobots were detached from the glass slides through a scalpel.

### Synthesis of γ-Fe2O3 nanoparticles for microrobots’ surface decoration

To synthesize magnetic γ-Fe2O3 nanoparticles, an aqueous solution containing FeSO4•7H2O and FeCl3•6H2O (molar ratio 1:1) was stirred for 15 min at 60 °C. NH4OH was added dropwise until pH 11 was reached and further stirred for 15 min at 60 °C. The as-synthesized γ-Fe2O3 nanoparticles were washed two times in ultra-pure water and ethanol, and dried overnight.

The decoration of the microrobots with γ-Fe2O3 nanoparticles was carried out by adding 1 mg of the nanoparticles to a 2 ml solution of ultra-pure water and ethanol (volume ratio 1:1), followed by sonication for 30 s. 10 mg microrobots were added to the solution (microrobots to nanoparticles ratio 1:10) and stirred for 1 h at room temperature. Finally, MXene-derived γ-Fe2O3/Pt/TiO2 microrobots were magnetically collected using a neodymium magnet, washed two times in ultra-pure water and ethanol, and dried overnight. The same procedure was used to prepare γ-Fe2O3/Ti3C2Tx MXene microparticles used as a reference in nanoplastics’ capture experiments.

### Characterization techniques

Surface morphology and elemental composition were characterized by a TESCAN MIRA3 XMU SEM equipped with an Oxford Instruments energy dispersive X-ray (EDX) detector. The Brunauer–Emmett–Teller (BET) specific surface area was evaluated from the adsorption data registered through a 3P micro 300 instrument in the relative pressure (p/p0) range of 0.1 ÷ 0.3. Before BET measurements, samples were degassed at 300 °C overnight44. The crystalline structure was determined by XRD in parallel beam mode using a Rigaku SmartLab 9 kW diffractometer equipped with a high-brightness Cu Kα rotating anode X-ray tube operated at 45 kV and 150 mA. Surface chemical composition was studied by XPS using a Kratos Analytical Axis Supra instrument with a monochromatic Al Kα (1486.7 eV) excitation source. All spectra were calibrated to the adventitious C 1s peak at 284.8 eV and fitted using CasaXPS software. The magnetic hysteresis loop was measured using a Quantum Design VersaLab cryogen-free VSM at 300 K for an applied magnetic field ranging from −10 to 10 kOe at steps of 10 Oe s−1. Light-absorption spectra were measured using a Jasco V-750 UV–Visible spectrophotometer equipped with an integrating sphere. Zeta potential measurements were performed in water at pH 7 and 3 using a Malvern Panalytical Zetasizer Ultra instrument.

### Microrobots’ motion behavior

The light-powered motion behavior of microrobots in water was observed and recorded using a Nikon ECLIPSE TS2R inverted microscope coupled to a BASLER acA1920-155uc digital camera. All experiments were carried out in the absence of any surfactant. A 365 nm UV LED (Cool LED pE-100) operated at 1600 mW cm−2 was used as the light source to power the microrobots. Videos were recorded at 20 fps and analyzed through NIS Elements Advanced Research and Fiji software to obtain microrobots’ trajectories and measure their speed.

### Tafel and transient photocurrent response measurements

Tafel measurements were carried out using a customized photoelectrochemical setup with three LZ4-04UV00 365 nm UV LED (LedEngin Inc.) in the two-electrode configuration with TiO2 electrode or Pt electrode as working electrodes and an Ag/AgCl electrode (1 M KCl) as both reference and counter electrode. The TiO2 working electrode was prepared by dropping 100 μl of an aqueous suspension of optimal (thermal annealing condition: 0 min at 550 °C) MXene-derived TiO2 microparticles (5 mg ml−1) on an ITO substrate (1 × 2 cm2) and dried overnight. The Pt working electrode was prepared by sputtering a Pt layer (50 nm) on an ITO substrate (1 × 2 cm2). Tafel measurements were recorded at a scan rate of 5 mV s−1 under UV-light irradiation on the working electrodes (1 × 1 cm2 immersed area) in ultra-pure water using a Metrohm AUTOLAB potentiostat.

Transient photocurrent response measurements were performed in the three-electrode configuration with samples as the working electrode, a Pt wire as the counter electrode, and an Ag/AgCl electrode (1 M KCl) as the reference electrode. The working electrodes were prepared by dropping 100 μl of an aqueous suspension of MXene-derived γ-Fe2O3/Pt/TiO2 microrobots before and after nanoplastics’ capture on an ITO substrate (1 × 2 cm2) and dried overnight (capture experiments conditions: 0.75 mg ml−1 microrobots, ~1012 nanoplastics ml−1, UV-light irradiation for 5 min, microrobots' collection using a neodymium magnet). The photocurrent was measured at 0 V vs. OCP by turning on and off the UV-light irradiation at time intervals of 10 s.

### Numerical simulation

The numerical simulation was performed using the transport of diluted species module of the COMSOL Multiphysics software. For the simulation, the cross-section of the MXene-derived Pt/TiO2 microrobots was considered. To emulate the MXene structure, the TiO2 microparticles were designed as 10 rectangles with a size of 100 nm × 2 μm and inter-distance of 100 nm, placed inside an 8 × 4 μm2 rectangle. Pt deposition can occur on the multi-layered side or the flat side of the TiO2 microparticles. Pt deposition on the multi-layered side was designed using 100 × 50 nm2 rectangles attached to the TiO2 rectangles on their left side. Pt deposition on the flat side was designed using a 50 nm × 2 μm rectangle attached to the last TiO2 rectangle on the right. The H2 generation at the interface between Pt and water due to the photogenerated electron-hole pairs in TiO2 was simulated by choosing water/Pt boundaries as the generation ones. To calculate H2 diffusion for 0.1 s light irradiation, an H2 diffusion coefficient in water at 25 °C of 5.11 × 10−9 m2 s−1 was used, while the photogeneration rate was set to 1 mmol m−2 s−1.

### Nanoparticle tracking analysis

Carboxylated polystyrene nanoparticles (50 nm) were used as a model for nanoplastics in water. Nanoplastics’ concentration measurements were performed using the Malvern Panalytical NanoSight LM10 nanoparticle tracking system. The instrument was configured with a 532 nm laser diode and sCMOS camera and 20× optical objective. The nanoplastics' suspension was diluted with ultra-pure water and injected into the NanoSight cell for analysis. NTA 3.4 software was used to capture videos of nanoplastics at a constant temperature of 25 °C and a frame rate of 30 fps. After tracking the recorded videos under the same parameters, the software returned nanoplastics’ size distribution through finite track length adjustment (FTLA) and concentration per ml.

### Nanoplastics’ capture experiments

For nanoplastics’ quantification by NTA, a stock solution of nanoplastics was prepared by diluting the commercial suspension by a factor of 50000 using pH 3 water. In a typical experiment, the microrobots (0.75 mg) were added to 1 ml of nanoplastics’ suspension in a UV-transparent cuvette placed inside a customized irradiation chamber and exposed to the UV-light emitted by three LZ4-04UV00 365 nm UV LEDs for different durations (1, 3, and 5 min). At the end of the treatment, microrobots were magnetically separated from the solution using a neodymium magnet. Both microrobots and the treated solutions were stored for further analyses. Each experiment has been repeated at least three times. The same experiments were performed using γ-Fe2O3/Ti3C2Tx MXene microparticles as a reference or the microrobots without UV-light irradiation. Additional experiments have been conducted at different nanoplastics’ concentrations (~106, 1012, 1014 nanoplastics ml−1).

The removal capacity qt [mg g−1] was calculated according to the following equation

$${q}_{t}=\,\frac{{C}_{0}-\,{C}_{t}}{m}\,V$$
(1)

where C0 and Ct [mg ml−1] are the nanoplastics' concentration at 0 min and time t, respectively, V [ml] is the volume of the solution (1 ml), and m [g] is the sample’s mass (7.5 × 10−4 g). Nanoplastics’ concentration values measured by NTA [ml−1] were converted to nanoplastics' concentration values C0 and Ct [mg ml−1] using the estimated mass for the single nanoplastic (Supplementary Discussion 1).

For the reusability test, after each capture experiment, the microrobots were vigorously agitated in water at pH 11 for 10 min to induce the release of the captured nanoplastics.

### Electrochemical impedance spectroscopy measurements

EIS measurements were performed at an applied potential of 0 V vs. ref. with a 10 mV superimposed sinusoidal root-mean-square voltage in the frequency range 105 ÷ 100 Hz in 100 μl electrolyte solution consisting of ultra-pure water with 10 mM K3Fe(CN)6 as the redox probe, using SPEs connected to a Metrohm AUTOLAB potentiostat. Before EIS measurements with microrobots, a 100 μl aqueous suspension of microrobots (or microrobots with captured nanoplastics) was spotted drop-by-drop on the working electrode area of the SPE. A neodymium magnet placed on the SPE backside accelerated microrobots’ landing and allowed them to stay onto the SPE while replacing water with the electrolyte. The EIS experiment with nanoplastics was carried out using the MXene-derived γ-Fe2O3/Pt/TiO2 microrobots collected with a neodymium magnet after the following capture experiments: 0.75 mg ml−1 microrobots, ~106, 1012, and 1014 nanoplastics ml−1, UV-light irradiation for 1 min. There was no exposure to UV-light during the EIS measurements.

## Data availability

The data generated in this study are provided in the manuscript or its Supplementary Information or Figshare repository (https://doi.org/10.6084/m9.figshare.19904512).

## References

1. MacLeod, M., Arp, H. P. H., Tekman, M. B. & Jahnke, A. The global threat from plastic pollution. Science 373, 61–65 (2021).

2. Nanoplastic should be better understood. Nat. Nanotechnol. 14, 299 (2019).

3. Thompson, R. C. et al. Lost at sea: where is all the plastic? Science 304, 838 (2004).

4. Gigault, J. et al. Nanoplastics are neither microplastics nor engineered nanoparticles. Nat. Nanotechnol. 16, 501–507 (2021).

5. Mitrano, D. M., Wick, P. & Nowack, B. Placing nanoplastics in the context of global plastic pollution. Nat. Nanotechnol. 16, 491–500 (2021).

6. Gigault, J. et al. Current opinion: What is a nanoplastic? Environ. Pollut. 235, 1030–1034 (2018).

7. Wagner, S. & Reemtsma, T. Things we know and don’t know about nanoplastic in the environment. Nat. Nanotechnol. 14, 300–301 (2019).

8. Rummel, C. D., Jahnke, A., Gorokhova, E., Kühnel, D. & Schmitt-Jansen, M. Impacts of biofilm formation on the fate and potential effects of microplastic in the aquatic environment. Environ. Sci. Technol. Lett. 4, 258–267 (2017).

9. Triebskorn, R. et al. Relevance of nano- and microplastics for freshwater ecosystems: A critical review. TrAC - Trends Anal. Chem. 110, 375–392 (2019).

10. Cai, H. et al. Analysis of environmental nanoplastics: Progress and challenges. Chem. Eng. J. 410, 128208 (2021).

11. Schwaferts, C., Niessner, R., Elsner, M. & Ivleva, N. P. Methods for the analysis of submicrometer- and nanoplastic particles in the environment. TrAC - Trends Anal. Chem. 112, 52–65 (2019).

12. Mitrano, D. M. et al. Synthesis of metal-doped nanoplastics and their utility to investigate fate and behaviour in complex environmental systems. Nat. Nanotechnol. 14, 362–368 (2019).

13. Koelmans, A. A. Proxies for nanoplastic. Nat. Nanotechnol. 14, 307–308 (2019).

14. Nguyen, B. et al. Separation and analysis of microplastics and nanoplastics in complex environmental samples. Acc. Chem. Res. 52, 858–866 (2019).

15. Sarcletti, M. et al. The remediation of nano-/microplastics from water. Mater. Today 48, 38–46 (2021).

16. Ussia, M. et al. Active Light-Powered Antibiofilm ZnO micromotors with chemically programmable properties. Adv. Funct. Mater. 31, 2101178 (2021).

17. Oral, C. M., Ussia, M. & Pumera, M. Self-propelled activated carbon micromotors for ‘on-the-fly’ capture of nitroaromatic explosives. J. Phys. Chem. C. 125, 18040–18045 (2021).

18. Zhang, F. et al. ACE2 receptor-modified algae-based microrobot for removal of SARS-CoV-2 in wastewater. J. Am. Chem. Soc. 143, 12194–12201 (2021).

19. Patino, T. et al. Self-sensing enzyme-powered micromotors equipped with pH-responsive DNA nanoswitches. Nano Lett. 19, 3440–3447 (2019).

20. Pacheco, M., de la Asunción-Nadal, V., Jurado-Sánchez, B. & Escarpa, A. Engineering Janus micromotors with WS2 and affinity peptides for turn-on fluorescent sensing of bacterial lipopolysaccharides. Biosens. Bioelectron. 165, 112286 (2020).

21. Venugopalan, P. L., Esteban-Fernández De Ávila, B., Pal, M., Ghosh, A. & Wang, J. Fantastic voyage of nanomotors into the cell. ACS Nano 14, 9423–9439 (2020).

22. Schmidt, C. K., Medina-Sánchez, M., Edmondson, R. J. & Schmidt, O. G. Engineering microrobots for targeted cancer therapies from a medical perspective. Nat. Commun. 11, 5618 (2020).

23. Urso, M., Iffelsberger, C., Mayorga-Martinez, C. C. & Pumera, M. Nickel sulfide microrockets as self-propelled energy storage devices to power electronic circuits “on-demand”. Small Methods 5, 2100511 (2021).

24. Ying, Y. & Pumera, M. Micro/nanomotors for water purification. Chem. - A Eur. J. 25, 106–121 (2019).

25. Urso, M., Ussia, M. & Pumera, M. Breaking polymer chains with self-propelled light-controlled navigable hematite microrobots. Adv. Funct. Mater. 31, 2101510 (2021).

26. Maric, T., Nasir, M. Z. M., Webster, R. D. & Pumera, M. Tailoring metal/TiO2 interface to influence motion of light-activated janus micromotors. Adv. Funct. Mater. 30, 1908614 (2020).

27. Pourrahimi, A. M. et al. Catalytic and light-driven ZnO/Pt janus nano/micromotors: switching of motion mechanism via interface roughness and defect tailoring at the nanoscale. Adv. Funct. Mater. 29, 1–8 (2019).

28. Peng, X., Urso, M. & Pumera, M. Photo-fenton degradation of nitroaromatic explosives by light-powered hematite microrobots: when higher speed is not what we go for. Small Methods 5, 2100617 (2021).

29. Villa, K. et al. Visible-light-driven single-component BiVO4 micromotors with the autonomous ability for capturing microorganisms. ACS Nano 13, 8135–8145 (2019).

30. Villa, K., Děkanovský, L., Plutnar, J., Kosina, J. & Pumera, M. Swarming of perovskite-Like Bi2WO6 microrobots destroy textile fibers under visible light. Adv. Funct. Mater. 30, 2007073 (2020).

31. Urso, M. & Pumera, M. Nano/microplastics capture and degradation by autonomous nano/microrobots: a perspective. Adv. Funct. Mater. 32, 2112120 (2022).

32. Wang, L., Kaeppler, A., Fischer, D. & Simmchen, J. Photocatalytic TiO2 micromotors for removal of microplastics and suspended matter. ACS Appl. Mater. Interfaces 11, 32937–32944 (2019).

33. Beladi-Mousavi, S. M., Hermanová, S., Ying, Y., Plutnar, J. & Pumera, M. A maze in plastic wastes: autonomous motile photocatalytic microrobots against microplastics. ACS Appl. Mater. Interfaces 13, 25102–25110 (2021).

34. Zhou, H., Mayorga-Martinez, C. C. & Pumera, M. Microplastic removal and degradation by mussel-inspired adhesive magnetic/enzymatic microrobots. Small Methods 5, 2100230 (2021).

35. Ye, H. et al. Magnetically steerable iron oxides-manganese dioxide core–shell micromotors for organic and microplastic removals. J. Colloid Interface Sci. 588, 510–521 (2021).

36. Gogotsi, Y. & Anasori, B. The rise of MXenes. ACS Nano 13, 8491–8494 (2019).

37. Alhabeb, M. et al. Guidelines for synthesis and processing of two-dimensional titanium carbide (Ti3C2Tx MXene). Chem. Mater. 29, 7633–7644 (2017).

38. Dixit, F. et al. Application of MXenes for water treatment and energy-efficient desalination: A review. J. Hazard. Mater. 423, 127050 (2022).

39. Khandelwal, N. & Darbha, G. K. A decade of exploring MXenes as aquatic cleaners: Covering a broad range of contaminants, current challenges and future trends. Chemosphere 279, 130587 (2021).

40. Wu, Y. et al. Recent advances in transition metal carbides and nitrides (MXenes): Characteristics, environmental remediation and challenges. Chem. Eng. J. 418, 129296 (2021).

41. Mayorga-Martinez, C. C., Vyskočil, J., Novotný, F. & Pumera, M. Light-driven Ti3C2 MXene micromotors: self-propelled autonomous machines for photodegradation of nitroaromatic explosives. J. Mater. Chem. A 9, 14904–14910 (2021).

42. Ying, Y., Plutnar, J. & Pumera, M. Six-degree-of-freedom steerable visible-light-driven microsubmarines using water as a fuel: application for explosives decontamination. Small 17, 2100294 (2021).

43. Low, J., Zhang, L., Tong, T., Shen, B. & Yu, J. TiO2/MXene Ti3C2 composite with excellent photocatalytic CO2 reduction activity. J. Catal. 361, 255–266 (2018).

44. Shahzad, A. et al. Two-dimensional Ti3C2Tx MXene nanosheets for efficient copper removal from water. ACS Sustain. Chem. Eng. 5, 11481–11488 (2017).

45. Uekawa, N., Ono, Y. & Kojima, T. Synthesis of gluconate modified layered titanate particles using hydrolysis reaction of Ti alkoxide and characterization of their swelling behavior and structural color. J. Sol.-Gel Sci. Technol. 85, 48–58 (2018).

46. Luttrell, T. et al. Why is anatase a better photocatalyst than rutile? - Model studies on epitaxial TiO2 films. Sci. Rep. 4, 4043 (2015).

47. Halim, J. et al. X-ray photoelectron spectroscopy of select multi-layered transition metal carbides (MXenes). Appl. Surf. Sci. 362, 406–417 (2016).

48. Ghosh, K. & Pumera, M. MXene and MoS3−x Coated 3D-printed hybrid electrode for solid-state asymmetric supercapacitor. Small Methods 5, 2100451 (2021).

49. Zhou, C., Zhang, H. P., Tang, J. & Wang, W. Photochemically powered AgCl janus micromotors as a model system to understand ionic self-diffusiophoresis. Langmuir 34, 3289–3295 (2018).

50. Singh, D. P., Uspal, W. E., Popescu, M. N., Wilson, L. G. & Fischer, P. Photogravitactic microswimmers. Adv. Funct. Mater. 28, 1706660 (2018).

51. Zhang, J. et al. Photochemical micromotor of eccentric core in isotropic hollow shell exhibiting multimodal motion behavior. Appl. Mater. Today 26, 101371 (2022).

52. Xiao, Z. et al. Synergistic speed enhancement of an electric-photochemical hybrid micromotor by tilt rectification. ACS Nano 14, 8658–8667 (2020).

53. Oral, C. M., Ussia, M., Yavuz, D. K. & Pumera, M. Shape engineering of TiO2 microrobots for “on-the-fly” optical brake. Small 18, 2106271 (2021).

54. Lyu, X. et al. Active, yet little mobility: asymmetric decomposition of H2O2 is not sufficient in propelling catalytic micromotors. J. Am. Chem. Soc. 143, 12154–12164 (2021).

55. Gallego-Urrea, J. A., Tuoriniemi, J. & Hassellöv, M. Applications of particle-tracking analysis to the determination of size distributions and concentrations of nanoparticles in environmental, biological and food samples. TrAC - Trends Anal. Chem. 30, 473–483 (2011).

56. Wilson, D. A., Nolte, R. J. M. & Van Hest, J. C. M. Autonomous movement of platinum-loaded stomatocytes. Nat. Chem. 4, 268–274 (2012).

57. Novotný, F. & Pumera, M. Nanomotor tracking experiments at the edge of reproducibility. Sci. Rep. 9, 13222 (2019).

58. Heckel, S. & Simmchen, J. Photocatalytic BiVO4 microswimmers with bimodal swimming strategies. Adv. Intell. Syst. 1, 1900093 (2019).

59. Ramirez Arenas, L., Ramseier Gentile, S., Zimmermann, S. & Stoll, S. Nanoplastics adsorption and removal efficiency by granular activated carbon used in drinking water treatment process. Sci. Total Environ. 791, 148175 (2021).

60. Batool, A. & Valiyaveettil, S. Surface functionalized cellulose fibers – A renewable adsorbent for removal of plastic nanoparticles from water. J. Hazard. Mater. 413, 125301 (2021).

61. Yen, P. L., Hsu, C. H., Huang, M. L. & Liao, V. H. C. Removal of nano-sized polystyrene plastic from aqueous solutions using untreated coffee grounds. Chemosphere 286, 131863 (2022).

62. Urso, M. et al. Ultrasensitive electrochemical impedance detection of mycoplasma agalactiae DNA by low-cost and disposable Au-Decorated NiO nanowall electrodes. ACS Appl. Mater. Interfaces 12, 50143–50151 (2020).

63. Vasilescu, A., Nunes, G., Hayat, A., Latif, U. & Marty, J. L. Electrochemical affinity biosensors based on disposable screen-printed electrodes for detection of food allergens. Sensors 16, 1863 (2016).

64. Zhang, N., Halali, M. A. & de Lannoy, C. F. Detection of fouling on electrically conductive membranes by electrical impedance spectroscopy. Sep. Purif. Technol. 242, 116823 (2020).

65. Urso, M. et al. Ni(OH)2@Ni core-shell nanochains as low-cost high-rate performance electrode for energy storage applications. Sci. Rep. 9, 7736 (2019).

66. Yildiz, A., Lisesivdin, S. B., Kasap, M. & Mardare, D. Electrical properties of TiO2 thin films. J. Non Cryst. Solids 354, 4944–4947 (2008).

67. Luo, D., Liu, B., Gao, R., Su, L. & Su, Y. TiO2/CuInS2-sensitized structure for sensitive photoelectrochemical immunoassay of cortisol in saliva. J. Solid State Electrochem. 26, 749–759 (2022).

68. Qi, X. Y. et al. Enhanced electrical conductivity in polystyrene nanocomposites at ultra-low graphene content. ACS Appl. Mater. Interfaces 3, 3130–3133 (2011).

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## Acknowledgements

M.P. was supported by Ministry of Education, Youth and Sports (Czech Republic) grant LL2002 under ERC CZ program. M.Ur. acknowledges the financial support by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 101038066. This work was supported by the project Advanced Functional Nanorobots (reg. No. CZ.02.1.01/0.0/0.0/15_003/0000444 financed by the EFRR). This work was supported by the ESF under the project CZ.02.2.69/0.0/0.0/18_053/0016962. CzechNanoLab project LM2018110 funded by MEYS CR is gratefully acknowledged for the financial support of the measurements/sample fabrication at CEITEC Nano Research Infrastructure.

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### Contributions

M.Ur. designed, prepared, and characterized the microrobots, performed the analysis of the motion, the numerical simulation, and the electrochemical measurements, and wrote the manuscript. M.Us. synthesized γ-Fe2O3 nanoparticles and conducted nanoplastics’ capture experiments. M.Ur. and M. Us. carried out NTA with F.N.’s participation. M.Ur. and M.P. originated the idea. M.P. supervised the research. All authors have given approval to the final version of the manuscript.

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Correspondence to Martin Pumera.

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Urso, M., Ussia, M., Novotný, F. et al. Trapping and detecting nanoplastics by MXene-derived oxide microrobots. Nat Commun 13, 3573 (2022). https://doi.org/10.1038/s41467-022-31161-2

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