Waste PET upcycling to conductive carbon-based composite through laser-assisted carbonization of UiO-66

Dmitry Kogolev a, Oleg Semyonov a, Nadezhda Metalnikova a, Maxim Fatkullin a, Raul D. Rodriguez a, Petr Slepicka b, Yusuke Yamauchi cd, Olga Guselnikova ad, Rabah Boukherroub e and Pavel S. Postnikov *ab
aResearch School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Tomsk 6340034, Russian Federation. E-mail: postnikov@tpu.ru
bDepartment of Solid State Engineering, University of Chemistry and Technology, 16628 Prague, Czech Republic
cAustralian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia
dJST-ERATO Yamauchi Materials Space-Tectonics Project and International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science (NIMS), Tsukuba, Ibaraki 305-0044, Japan
eUniv. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, IEMN, UMR CNRS 8520, F-59000 Lille, France

Received 17th October 2022 , Accepted 14th December 2022

First published on 15th December 2022


Abstract

The upcycling of waste polymers into novel materials with high added value is a vital task for modern chemical engineering. Here, we propose diversifying waste polyethylene terephthalate (PET) upcycling to materials with enhanced photothermal properties by laser-assisted carbonization of surface-grown UiO-66. The UiO-66 homogenous layer was formed using a solvo-thermal procedure on the surface of recycled PET sheets. The treatment by a 405 nm laser system allowed the formation of a carbonaceous layer with enhanced electrical conductivity and photothermal properties due to the presence of zirconium carbide and graphene. The developed approach opens new perspectives in the application of upcycled PET-based materials.


The fast-growing production of polymer materials has led to crucial problems owing to environmental contamination by plastic waste.1,2 Polyethylene terephthalate (PET) is a widespread polyether that significantly contributes to the polymer waste challenge.3 For instance, waste PET has been transformed into adsorbents for environmental contaminants,4 smart textiles,5 and catalysts.6 However, the high functionality of PET could facilitate further diversification of applications of waste PET-derived materials.

The main strategy of functional upcycling is the transformation of the outer polymer layer with conservation of the bulk polymer substrates.7,8 PET is hydrolysed relatively easily by the formation of free carboxylic groups, which are excellent anchor moieties. These carboxylic groups are involved in the surface-assisted growth of metal–organic framework (MOF) layers on the surface of hydrolysed PET.9,10 Here, PET was used as the support and feedstock for MOFs synthesis.11 This allows for the design of a wide range of materials to remove the organic pollutants from the environment.6,10 However, MOF applications are not limited to adsorption and catalysis. An alternative pathway for upcycled PET@MOF-derived materials is carbonisation under elevated temperatures in an inert atmosphere with the formation of carbon-based materials.12–17 Functional carbonised materials are finding applications as energy-related tools, such as supercapacitors,18,19 photothermal,20,21 and photovoltaic devices.22,23

Carbonisation is traditionally performed by thermal annealing, which requires harsh conditions and is energy-intensive.24,25 Sufficient progress in this field has been achieved by implementing a laser beam as the source of energy for the carbonisation of thin-layered MOF powders.26–29

Laser-induced carbonisation allows the conversion of thin-layered MOF powders to metal nanoparticles,26 graphene–metal monolites,27 or carbon-based materials with incorporated metal nanostructures.28–31 Thus, this method has considerable potential for the design of novel materials with improved properties using MOFs as feedstock in a mild, scalable and energy-efficient manner.

Laser annealing is a fascinating option for the treatment of polymer-supported thin-layered MOFs. In such a case, the carbonisation process should be accompanied by partial melting of the polymer matrix with the formation of a durable composite, similar to previous findings.32,33 Moreover, the formation of a thin carbon film on the polymer surface improves the performance of the resulting material in photothermal applications because of the insulating properties of the polymer support and absence of heat dissipation.34,35 In addition, owing to its flexibility and durability, PET can be applied as a support for bendable electronic devices in flexible circuits, photo, pressure, and wearable sensors,36–40 such as skin bioelectrodes,41 breath/gas sensors, flexors, and skin conductance sensors.42 The development of such materials is promising and critical for microelectronic technologies, wearable devices, and the internet of things, which are based on economic effectiveness, scalability, and mechanical and chemical stability.43,44

In this study, we propose a novel approach for the functional upcycling of PET to composite carbon-based materials via the preliminary growth of UiO-66 crystals on the surface followed by laser-induced carbonisation (Fig. 1). The resulting material PET@LB-UiO-66 (LB = laser-burned) represents a composite with a graphene-like material fused in the PET matrix with enhanced mechanical stability and high surface conductivity of 10.4 ± 3.1 Ω per square. Moreover, the PET@LB-UiO-66 has a considerable photothermal response, reaching 71 °C under illumination by 660 nm light-emitting diode (LED) with a power density of 0.036 kW m−2 after 100 s.


image file: d2ta08127j-f1.tif
Fig. 1 Strategy for PET@LB-UiO-66 preparation from recycled PET: (i) PET hydrolysis, (ii) UiO-66 PET surface growth from waste PET bottle, and (iii) laser scribing process by 405 nm irradiation.

Transparent PET sheets made from recycled plastic were purchased from a hardware store as a starting material. We started our investigation by adopting a previously reported procedure for UiO-66 growth on recycled PET sheets (Section 2, ESI).10 The process included two stages: (i) hydrolysis and (ii) growth of the UiO-66 layer. In the first stage, we optimised the temperature and treatment with concentrated H2SO4 for the hydrolysis step and monitored the characteristic νO–H stretching vibration band by Fourier-transform infrared (FTIR) spectroscopy. The highest intensity of the νO–H band, corresponding to the highest hydrolysis degree, was achieved by treatment with concentrated H2SO4 for 5 min at 75 °C (Fig. S1 and S2, ESI). Moreover, such conditions allow the PET sheet to remain in shape without significant degradation or deformation during the hydrolysis process, which is extremely important for applications. After hydrolysis, a polycrystalline UiO-66 layer was formed (Fig. S3 and S4 and a brief description of the method and characterisation of the resulted material are given in Section 3, ESI).10 For UiO-66 growth, the sheets were loaded with ZrCl4 and terephthalic acid prepared from waste PET bottles.45

Scanning electron microscopy (SEM) analysis (Fig. S3D–F, ESI) revealed that the prepared PET@UiO-66 was characterised by a homogeneously distributed polycrystalline layer of UiO-66, which is favourable for further laser treatment. The homogeneity of the UiO-66 coating is crucial for the further uniformity of the laser-treated carbon layers. Previously, surface-assisted MOF treatment required the addition of binders for MOF powder46 or preliminary MOF carbonisation and deposition on the substrate.47,48 The direct growth of UiO-66 guarantees the homogeneity and stability of the functional layer after the laser treatment.

To determine the appropriate wavelength, we performed an ultraviolet-visible (UV-vis) study of the prepared composite, which showed an absorbance maximum at 375 nm (Fig. 2A). Such an absorbance peak was not observed in pristine or hydrolysed PET. This indicates the potential for selective carbonisation of the MOF layer without considerable involvement of the bulk PET (Fig. S3C, ESI). Considering the absorbance maximum location, we chose a 405 nm laser diode (pulse frequency = 1.6 kHz and power = 1500 mW) installed on a commercially available laser engraver system NEJE DK-8-KZ. This system has many advantages over traditionally used femtosecond lasers in terms of availability, low cost, and the possibility of processing a significant area of material.32,33


image file: d2ta08127j-f2.tif
Fig. 2 (A) UV-vis spectrum of PET@UiO-66. (B) Optimization of PET@UiO-66 carbonization by the Nelder–Mead method. *Nominal laser power. (C) Material images before and after laser treatment: (C-1) a general view, (C-2) the SEM of PET@LB-UiO-66 after treatment under optimal conditions, and (C-3) optical image of the pattern (Logo Tomsk Polytechnic University) prepared by PET@UiO-66 laser scribing. Characterization of PET@LB-UiO-66: (D) XRD patterns, (E) Raman spectra, (F) Zr 3d XPS spectrum, and (G) EDX mapping of Zr from image on (C-2). Cross-sectional SEM-EDX images of (H) PET@UiO-66 and (I) PET@LB-UiO-66.

The initial experiment was completed by performing laser scribing of the PET@UiO-66 surface using 9.9 mm s−1 scanning speed and 600 mW laser power. The laser path is schematically depicted in Fig. S5, ESI. We observed the carbonisation of PET@UiO-66 in the place of the interaction with the laser beam spot. After laser ablation, PET@UiO-66 surface is converted to a black-coloured material (Fig. 2C). Surprisingly, the resulting black layer on the PET surface was homogeneous and exhibited considerable scratch resistance and stability during washing with water or organic solvents. A remarkably important finding for electronic applications is that the sheet resistance of the resulting material was significantly low (23.4 ± 1.3 Ω per square). Therefore, we decided to further optimise the laser treatment conditions by varying the irradiation time and laser power. The direct variation of parameters was complicated due to a rational search of the optimal regime. Thus, we conducted the optimisation process using the Nelder–Mead algorithm by varying the laser power (P) and beam penetration depth/speed (D) (Fig. 2B, Table S1; a detailed description is provided in Section 4, ESI). The sheet resistance is the main measure of the carbonisation efficiency, which also reflects the homogeneity of the resulting carbon layer. First, three random points were chosen to optimise the two laser parameters in a triangular parametric form (points 1–3 Fig. 2B). Subsequently, the highest-conductivity vertex of the triangle was identified and measured. Several operations of triangle contraction, expansion, and shrinkage were conducted. The identification of the lowest conductivity vertex points meaningfully decreased the electrical resistance. The design optimization allowed a decrease of the sheet resistance down to 10.4 ± 3.1 Ω per square. It represents one of the best results for laser-induced carbonization reported so far (Table S2, ESI). Additionally, the homogeneity of the resulting layer was investigated by SEM (Fig. 2(C-1) and (C-2), S6A, ESI), where a uniform carbon layer was distinctly visible. Moreover, laser patterning offers an important opportunity to design arbitrarily shaped conductive circuits (Fig. 2(C-3)). The SEM images of the poorly conductive composite demonstrated the formation of rough surfaces with agglomerates and non-uniformly distributed lumps (Fig. S6B, ESI).

X-ray diffraction (XRD) analysis of the resulting composites characterised the prepared PET@LB-UiO-66 (using the optimised conditions P-49, D-26). The laser treatment led to the disappearance of UiO-66-characteristic peaks at 7.6° and 8.6° (Fig. 2D).10 Instead, we observed new peaks at 33.2°, 38.4°, 55.7°, 66.2°, and 69.6°, which were identified as zirconium carbide.49 The ZrC formation evidenced deep carbonisation, followed by the reduction of Zr clusters in the MOF structure by carbon. Surprisingly, despite the presence of atmospheric oxygen, we did not observe peaks associated with ZrO2. It can be explained by the Zr reduction protected from environmental oxygen by the melted polymer layer. A comparison of the FTIR spectra of PET@UiO-66 and PET@LB-UiO-66 revealed the disappearance of UiO-66-related vibration bands (asymmetric and symmetric stretches of COO–Zr bonds at 1584 and 1397 cm−1, respectively) after carbonisation, suggesting full conversion of the MOFs (Fig. S7, ESI). Meanwhile, the characteristic bands of PET were still visible, confirming the formation of a composite between PET and carbonised UiO-66, similar to the previously reported conditions.32,33

These findings were corroborated by Raman spectroscopy. Laser treatment of PET@UiO-66 led to the loss of spectral features associated with the UiO-66 structure (Fig. 2E). Instead, in the PET@LB-UiO-66 Raman spectrum, we observed the characteristic peaks at 1362 and 1577 cm−1 assigned to the D and G peaks of graphene, in agreement with a previous report.50 The characteristic fingerprint of 2D modes at 2670 cm−1 suggested the presence of few-layered graphene sheets impregnated in the polymer matrix.51 Moreover, the relatively high intensity ratio (ID/IG = 0.94) indicates the high graphitization degree. It explains the low sheet resistance of the material.

The chemical composition of the resulting PET@LB-UiO-66 was studied using X-ray photoelectron spectroscopy (XPS) (Fig. 2F, S8 and S9 ESI). Evaluation of the survey scan revealed changes in the surface concentrations of carbon, oxygen, and zirconium (Fig. S8A, ESI). The C 1s peak deconvolution showed the same chemical state as that of PET@UiO-66. This result confirmed our assumption that graphene/ZrC is surrounded by fused PET after the laser treatment (Fig. S8B, ESI). Surprisingly, during initial analysis by XPS of PET@LB-UiO-66, Zr-related peaks were not observed (Fig. S8, ESI). This is related to the penetration depth of XPS method with just a few nanometres and the distribution of Zr after laser scribing corresponding to cross-SEM with energy-dispersive X-ray (EDX) analysis (Fig. 2I). Therefore, we etched the surface using a monatomic Ar+ depth-profiling technique, followed by XPS analysis (Fig. 2F and S9, ESI). The presence of Zr 3d peaks at 180.3 and 182.7 eV infers the formation of zirconium carbide in the resulting material (Fig. 2F). Zr–O peaks are also observed in the Zr 3d spectra. We ruled out ZrO2 formation by the XRD analysis discussed above. The Zr–O doublet formation is attributed to the partial substitution of C atoms by oxygen in the ZrC lattice.52 Additionally, after laser scribing, the elemental composition of PET@UiO-66 changed only slightly in the C and Zr content according to the CHNS and inductively coupled plasma mass spectrometry (ICP-MS) (Table S3, ESI).

The morphology of the resulting PET@LB-UiO-66 composite was elucidated using SEM (Fig. 2(C-2), G and I). Compared to pristine PET@UiO-66 (Fig. 2H and S3D–F, ESI), drastic changes in surface morphology were distinctly observed. The microcrystalline MOF structure was transformed to a relatively smooth porous surface (Fig. 2(C-2)). Pore formation was promoted by laser-induced carbonisation owing to the generation of gas by-products, especially CO2, after the decarboxylation of terephthalates.32,33 EDX analysis of the treated surface revealed a homogenous distribution of Zr across the entire surface without significant particle agglomeration. Cross-sectional SEM imaging of PET@LB-UiO-66 was performed to determine the thickness of the carbonised layer. The thickness of the composite was significantly larger than that of UiO-66 (approximately 145 μm vs. approximately 6 μm), confirming our hypothesis regarding the active involvement of the PET melting process (Fig. 2H and I). Moreover, the formation of pores throughout the composite layer was distinctly observed. EDX analysis showed a relatively homogenous distribution of Zr in the vertical direction, suggesting drowning of solid particles during the melting of the PET matrix. At each stage of PET@LB-UiO-66 formation, we observed noticeable changes in morphology by SEM, profilometry, and water contact angle (WCA) measurements (see detailed description in Section 5 Fig. S10 and S11, ESI). The laser scribing process of PET@UiO-66 led to the formation of a rough carbonaceous surface with visibly melted PET, impregnated carbon, and ZrC agglomerates.

To illustrate the importance of MOF coating homogeneity, we applied the optimised laser parameters to a sample prepared by drop-casting UiO-66 powder onto a PET plate. In this case, the non-homogeneously distributed UiO-66 crystals were not bound to the surface of PET (see details in Section 6, ESI). Laser treatment of such composites under optimal conditions led to the carbonisation of UiO-66. However, the carbon layer was easily removed from PET by washing or mechanical bending of the composite, thus showing low mechanical stability of the carbon material (Fig. S12, ESI). We assume that the low mechanical stability can be ascribed to the non-covalent binding of the UiO-66 layer to the PET surface. Therefore, in further experiments, we focused only on the optimised PET@LB-UiO-66 composite. In addition, we conducted control experiments to identify the role of surface UiO-66 in carbonisation. Thus, the treatment of pristine PET by laser (power 735 and 1500 mW) led to melting PET and negligible and uneven carbonisation (Fig. S13, ESI). Nevertheless, according to SEM experiments for the determination of composite thickness, partial carbonisation of PET was also observed in PET@UiO-66, suggesting the critical role of UiO-66 as an analogue of the photosensitizer. We propose that carbonisation started from UiO-66, generating carbon material with impregnated ZrC clusters, which served as photothermal elements for the subsequent melting and carbonisation of PET matrix. The combination of these processes led to the formation of durable composites with enhanced properties.

Thus, the characterisation of PET@LB-UiO-66 demonstrated that laser-induced carbonisation led to the formation of a composite material composed of melted PET with impregnated graphene-like material and ZrC particles. Despite its obvious application as a conducting material, we hypothesised that the incorporation of ZrC would provide a considerable photothermal response.53,54 Moreover, a high material conductivity should lead to a higher extinction coefficient and, hence, better light absorption.55 For this reason, we assessed the photothermal properties of the resulting material to check its potential applicability in water steam generation and desalination technology, defogging, catalysis,56 sensors,57 bacterial killing,58 deicing,59 and photothermal electric power generation for wearable electronics, microelectronics,60,61 and others.62–65

UV-vis spectroscopy analysis showed sufficient enhancement of PET@LB-UiO-66 absorbance, especially in the visible range (Fig. 3A), facilitating the interaction with light and significantly reducing the band gap energy in comparison with PET@UiO-66 (Fig. S14A and B, ESI). For the analysis of the photothermal response, we measured the temperature after irradiation by LED at different wavelengths (455, 530, 660, 780, and 1055 nm; the power density of the LED is specified in ESI) with subsequent temperature determination using a thermal infrared camera (Fig. 3B and C, S14C, ESI). The temperature of the material increased rapidly, demonstrating its strong ability to convert visible and IR light into heat. After 100 s, the recorded temperatures stabilised at 65, 50, 71, 59, and 32 °C under 455, 530, 660, 780, and 1055 nm irradiation, respectively. Moreover, turning off the LED source led to a rapid decrease in the temperature, indicating excellent heat conductivity. Notably, in comparison with other related materials, PET@LB-UiO-66 (P-49, D-26) demonstrated the highest photothermal response considering the relatively low power of LED sources (Table S4, ESI). Based on the possibility of using recycled PET as a support and terephthalic acid from waste PET bottles,45 upcycled photothermal materials are highly competitive with other alternatives prepared from non-waste materials. We anticipate further studies using PET@LB-UiO-66 for desalination, vaporisation, and catalysis.34,66


image file: d2ta08127j-f3.tif
Fig. 3 (A) UV-vis spectrum of PET@LB-UiO-66 with spectra of LED sources. (B) Photothermal curves of PET@LB-UiO-66 acquired at 5 different wavelengths. (C) Images taken using a thermal camera during LED irradiation of PET@LB-UiO-66 at 5 different wavelengths. Optical microscopic photos: (D) before mechanical test and (E) after mechanical test. Comparison diagram of (F) sheet resistance and (G) photothermal performance before and after mechanical test. (H) Photo of bent PET@LB-UiO-66 used as a conductor to power LED.

In addition to photothermal performance, other factors such as stability, mechanical integrity, and cost should also be considered for practical applications.66 The composite formed from PET and impregnated graphene/ZrC should exhibit significant mechanical stability against abrasion and scratching. To evaluate the mechanical resilience of the material, we performed an abrasion test in a homemade vessel filled with sand for 24 h (Fig. S15, ESI).17 First of all, the optical microscopy analysis did not reveal a significant change in the surface morphology (Fig. 3D and E). No scratches or cracks were observed on the surface structure. For the applicability test, we recorded the sheet resistance and photothermal response after abrasive experiments (Fig. 3F and G). The sheet resistance slightly increased (up to 18.7 ± 2.2 Ω per square), but it was still lower than that of the closest analogues carbonised ZIF-8/67 or polyimides (Table S2, ESI). Thus, after abrasion, the material can be used as a conductor for LED sources or other circuits (Fig. 3H). At the same time, the sand treatment did not affect the photothermal response of PET@LB-UiO-66, suggesting the conservation of the layer structure. Additionally, we tested the solvent resistance of PET@LB-UiO-66 in different solvents, considering the stability of PET. Indeed, its stability in water and methanol has been proved by using it during the washing of the prepared materials. Treatment with more aggressive solvents led to the swelling of PET, followed by cracking of the carbon surface, is presented in Fig. S16, ESI. The developed methodology has a reasonable potential for further utilisation of PET on a large scale, considering the amount of waste PET.67,68 For the scalability study, we repeated the procedure for the sample with a 5 cm2 area (five times more than the common substrate). An optical image of the homogeneously carbonised materials is shown in Fig. S17, ESI, suggesting that the developed approach can be successfully implemented on a larger scale.

In conclusion, we developed a novel approach for the smart upcycling of waste PET to create conductive materials with excellent photothermal properties through the surface-assisted growth of UiO-66 and subsequent laser-induced carbonisation. The combination of these procedures afforded durable and abrasion-resistant PET sheets coated with a graphene/zirconium carbide layer, providing enhanced electrical conductivity and photothermal properties. The excellent performance of the developed composite material and fabrication method made it possible to further apply waste PET in photothermal and electrochemical devices. We believe that the developed technology will open new avenues for the utilisation of waste polymers and their transformation into products of high added value.

Author Contributions

Dmitry Kogolev – investigation, data curation, visualization; Oleg Semyonov – investigation, Methodology, writing – original draft; Nadezhda Metalnikova – investigation, validation; Maxim Fatkullin – investigation, methodology; Raul D. Rodriguez – conceptualization, resources, writing – review & editing; Petr Slepicka – methodology, resources; Yusuke Yamauchi – resources, supervision, funding acquisition; Olga Guselnikova – methodology, conceptualization, writing – review & editing; Rabah Boukherroub – resources, funding acquisition, writing – review & editing; Pavel S. Postnikov – conceptualization, funding acquisition, supervision, writing – original draft.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

The authors thank the central laboratories of TPU (Analytical center) for the XPS measurements and Tomsk Regional Core Shared Research Facilities Center of National Research Tomsk State University for the SEM, ICP-MS and CHNS measurements. The research has been supported by the Russian-French project No. 075-15-2022-244 in the frame of PHC “Kholmogorov”. R. B. acknowledges financial support from the CPER “Wavetech”. This work was performed in part at the Queensland node of the Australian National Fabrication Facility, a company established under the National Collaborative Research Infrastructure Strategy to provide nano and microfabrication facilities for Australia’s researchers.

References

  1. S. S. Ali, T. Elsamahy, E. Koutra, M. Kornaros, M. El-Sheekh, E. A. Abdelkarim, D. Zhu and J. Sun, Sci. Total Environ., 2021, 771, 144719 CrossRef CAS PubMed.
  2. K. S. Khoo, L. Y. Ho, H. R. Lim, H. Y. Leong and K. W. Chew, J. Hazard. Mater., 2021, 417, 126108 CrossRef CAS PubMed.
  3. R. Zhang, X. Ma, X. Shen, Y. Zhai, T. Zhang, C. Ji and J. Hong, J. Environ. Manage., 2020, 260, 110062 CrossRef CAS PubMed.
  4. M. Khorram, A. Mousavi and N. Mehranbod, J. Environ. Chem. Eng., 2017, 5, 2366–2377 CrossRef CAS.
  5. V. Popescu, A. Muresan, O. Constandache, G. Lisa, E. I. Muresan, C. Munteanu and I. Sandu, Ind. Eng. Chem. Res., 2014, 53, 16652–16663 CrossRef CAS.
  6. O. Semyonov, D. Kogolev, G. Mamontov, E. Kolobova, A. Trelin, M. S. Yusubov, O. Guselnikova and P. S. Postnikov, Chem. Eng. J., 2022, 431, 133450 CrossRef CAS.
  7. W. Li, Z. Xie, S. Xue, H. Ye, M. Liu, W. Shi and Y. Liu, Sep. Purif. Technol., 2021, 276, 119435 CrossRef CAS.
  8. X. Tang, C. Din, S. Yu, Y. Liu, H. Luo, D. Zhang and S. Chen, Chem. Eng. J., 2022, 446, 137281 CrossRef CAS.
  9. W. P. R. Deleu, I. Stassen, D. Jonckheere, R. Ameloot and D. E. De Vos, J. Mater. Chem. A, 2016, 4, 9519–9525 RSC.
  10. O. Semyonov, S. Chaemchuen, A. Ivanov, F. Verpoort, Z. Kolska, M. Syrtanov, V. Svorcik, M. S. Yusubov, O. Lyutakov, O. Guselnikova and P. S. Postnikov, Appl. Mater. Today, 2021, 22, 100910 CrossRef.
  11. M. Shanmugam, C. Chuaicham, A. Augustin, K. Sasaki, P. J. J. Sagayaraj and K. Sekar, New J. Chem., 2022, 46, 15776–15794 RSC.
  12. Q. Ren, H. Wang, X.-F. Lu, Y.-X. Tong, G.-R. Li, Q. Ren, H. Wang, X. Lu, Y. Tong and G. Li, Adv. Sci., 2018, 5, 1700515 CrossRef PubMed.
  13. B. N. Bhadra, A. Vinu, C. Serre and S. H. Jhung, Mater. Today, 2019, 25, 88–111 CrossRef CAS.
  14. M. Hao, M. Qiu, H. Yang, B. Hu and X. Wang, Sci. Total Environ., 2021, 760, 143333 CrossRef CAS PubMed.
  15. Q. Zhang, C. Xue, J. Wang, R. Huang, X. Hao and K. Li, New Carbon Mater., 2021, 36, 322–335 CrossRef CAS.
  16. D. Liu, W. Gu, L. Zhou, L. Wang, J. Zhang, Y. Liu and J. Lei, Chem. Eng. J., 2022, 427, 131503 CrossRef CAS.
  17. T. Wang, X. Cao, L. Jiao, T. Wang, X. Cao and L. Jiao, Small, 2021, 17, 2004398 CrossRef CAS.
  18. S. Wu, J. Liu, H. Wang and H. Yan, Int. J. Energy Res., 2019, 43, 697–716 CrossRef CAS.
  19. J. Ren, Y. Huang, H. Zhu, B. Zhang, H. Zhu, S. Shen, G. Tan, F. Wu, H. He, S. Lan, X. Xia and Q. Liu, Carbon Energy, 2020, 2, 176–202 CrossRef CAS.
  20. G. Chen, Z. Jiang, A. Li, X. Chen, Z. Ma and H. Song, J. Mater. Chem. A, 2021, 9, 16805–16813 RSC.
  21. J. Xu, Y. Jiang, X. Chen, Z. Tang, Y. Gao, M. Huang, Y. Wan, P. Cheng and G. Wang, Mater. Today Nano, 2022, 19, 100234 CrossRef CAS.
  22. C. Geng, P. Wei, H. Chen, H. Liu, S. Zheng, H. Wang and Y. Xie, Chem. Eng. J., 2021, 414, 128878 CrossRef CAS.
  23. Y. Liu, Y. Sun and J. Zhang, J. Mater. Chem. C, 2017, 5, 4286–4292 RSC.
  24. F. Zheng, G. Xia, Y. Yang and Q. Chen, Nanoscale, 2015, 7, 9637–9645 RSC.
  25. J. Liu, D. Zhu, C. Guo, A. Vasileff, S.-Z. Qiao, J. L. Liu, D. D. Zhu, C. X. Guo, A. Vasileff, S.-Z. Qiao and -Z. S. Qiao, Adv. Energy Mater., 2017, 7, 1700518 CrossRef.
  26. H. Jiang, S. Jin, C. Wang, R. Ma, Y. Song, M. Gao, X. Liu, A. Shen, G. J. Cheng and H. Deng, J. Am. Chem. Soc., 2019, 141, 5481–5489 CrossRef CAS.
  27. H. Jiang, L. Tong, H. Liu, J. Xu, S. Jin, C. Wang, X. Hu, L. Ye, H. Deng and G. J. Cheng, Matter, 2020, 2, 1535–1549 CrossRef.
  28. W. Zhang, R. Li, H. Zheng, J. Bao, Y. Tang, K. Zhou, W. Zhang, J. Bao, H. Zheng, K. Zhou, R. Li and Y. Tang, Adv. Funct. Mater., 2021, 31, 2009057 CrossRef CAS.
  29. Y.-J. Tang, H. Zheng, Y. Wang, W. Zhang, K. Zhou, Y. Tang, K. Zhou, H. Zheng, Y. Wang and W. Zhang, Adv. Funct. Mater., 2021, 31, 2102648 CrossRef CAS.
  30. A. Basu, K. Roy, N. Sharma, S. Nandi, R. Vaidhyanathan, S. Rane, C. Rode and S. Ogale, ACS Appl. Mater. Interfaces, 2016, 8, 31841–31848 CrossRef CAS.
  31. D. Van Lam, M. Sohail, J. H. Kim, H. J. Lee, S. O. Han, J. Shin, D. Kim, H. Kim and S. M. Lee, ACS Appl. Mater. Interfaces, 2020, 12, 39154–39162 CrossRef CAS PubMed.
  32. A. Lipovka, I. Petrov, M. Fatkullin, G. Murastov, A. Ivanov, N. E. Villa, S. Shchadenko, A. Averkiev, A. Chernova, F. Gubarev, M. Saqib, W. Sheng, J. J. Chen, O. Kanoun, I. Amin, R. D. Rodriguez and E. Sheremet, Carbon, 2022, 194, 154–161 CrossRef CAS.
  33. R. D. Rodriguez, S. Shchadenko, G. Murastov, A. Lipovka, M. Fatkullin, I. Petrov, T.-H. Tran, A. Khalelov, M. Saqib, N. E. Villa, V. Bogoslovskiy, Y. Wang, C.-G. Hu, A. Zinovyev, W. Sheng, J.-J. Chen, I. Amin, E. Sheremet, R. D. Rodriguez, S. Shchadenko, G. Murastov, A. Lipovka, M. Fatkullin, I. Petrov, T. Tran, A. Khalelov, M. Saqib, N. E. Villa, V. Bogoslovskiy, A. Zinovyev, E. Sheremet, Y. Wang, C. Hu, J. Chen, W. Sheng and I. Amin, Adv. Funct. Mater., 2021, 31, 2008818 CrossRef CAS.
  34. H. Chen, S.-L. Wu, H.-L. Wang, Q.-Y. Wu and H.-C. Yang, Adv. Energy Sustainability Res., 2021, 2, 2000056 CrossRef.
  35. B. Han, Y.-L. Zhang, Q.-D. Chen and H.-B. Sun, Adv. Funct. Mater., 2018, 28, 1802235 CrossRef.
  36. R. D. Rodriguez, S. Shchadenko, G. Murastov, A. Lipovka, M. Fatkullin, I. Petrov, T. Tran, A. Khalelov, M. Saqib, N. E. Villa, V. Bogoslovskiy, Y. Wang, C. Hu, A. Zinovyev, W. Sheng, J. Chen, I. Amin and E. Sheremet, Adv. Funct. Mater., 2021, 31, 2008818 CrossRef CAS.
  37. Z. Kang, Y. Zhang and M. Zhou, Chem. Eng. J., 2019, 368, 223–234 CrossRef CAS.
  38. H. Ling, S. Liu, Z. Zheng and F. Yan, Small Methods, 2018, 2, 1800070 CrossRef.
  39. W. A. MacDonald, in Large Area and Flexible Electronics, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, 2015, pp. 291–314 Search PubMed.
  40. R. D. Rodriguez, A. Khalelov, P. S. Postnikov, A. Lipovka, E. Dorozhko, I. Amin, G. v. Murastov, J.-J. Chen, W. Sheng, M. E. Trusova, M. M. Chehimi and E. Sheremet, Mater. Horiz., 2020, 7, 1030–1041 RSC.
  41. G. Murastov, E. Bogatova, K. Brazovskiy, I. Amin, A. Lipovka, E. Dogadina, A. Cherepnyov, A. Ananyeva, E. Plotnikov, V. Ryabov, R. D. Rodriguez and E. Sheremet, Biosens. Bioelectron., 2020, 166, 112426 CrossRef CAS PubMed.
  42. A. Lipovka, I. Petrov, M. Fatkullin, G. Murastov, A. Ivanov, N. E. Villa, S. Shchadenko, A. Averkiev, A. Chernova, F. Gubarev, M. Saqib, W. Sheng, J.-J. Chen, O. Kanoun, I. Amin, R. D. Rodriguez and E. Sheremet, Carbon, 2022, 194, 154–161 CrossRef CAS.
  43. J.-S. Kim, D. Ko, D.-J. Yoo, D. S. Jung, C. T. Yavuz, N.-I. Kim, I.-S. Choi, J. Y. Song and J. W. Choi, Nano Lett., 2015, 15, 2350–2357 CrossRef CAS PubMed.
  44. D. Y. Choi, H. W. Kang, H. J. Sung and S. S. Kim, Nanoscale, 2013, 5, 977–983 RSC.
  45. X. Dyosiba, J. Ren, N. M. Musyoka, H. W. Langmi, M. Mathe and M. S. Onyango, Sustainable Mater. Technol., 2016, 10, 10–13 CrossRef CAS.
  46. D. Van Lam, M. Sohail, V. T. Nguyen, Q. T. Ngo, A. Anto Jeffery, H. S. Choi, N. Jung, J. H. Kim, H. Kim and S. M. Lee, Chem. Eng. J., 2021, 421, 127731 CrossRef.
  47. D. Van Lam, V.-T. Nguyen, E. Roh, Q.-T. Ngo, W. Choi, J.-H. Kim, H. Kim, H.-S. Choi, S.-M. Lee, D. V Lam, J. Kim, S. Lee, V. Nguyen, Q. Ngo, H. Choi, E. Roh, W. Choi and H. Kim, Part. Part. Syst. Charact., 2021, 38, 2100119 CrossRef.
  48. D. Van Lam, D. T. Dung, J. H. Kim, H. Kim and S. M. Lee, Chem. Eng. J., 2022, 437, 135237 CrossRef.
  49. J. X. Wang, D. W. Ni, S. M. Dong, G. Yang, Y. F. Gao, Y. M. Kan, X. W. Chen, Y. P. Cao and X. Y. Zhang, RSC Adv., 2017, 7, 22722–22727 RSC.
  50. Y. Wu, Z. Huang, H. Jiang, C. Wang, Y. Zhou, W. Shen, H. Xu and H. Deng, ACS Appl. Mater. Interfaces, 2019, 11, 44573–44581 CrossRef CAS.
  51. C. Li, L. Li, J. Li, X. Wu, L. Qi and W. Li, Cellulose, 2019, 26, 1631–1640 CrossRef CAS.
  52. Q. Yan, B. Xin, Z. Chen and Y. Liu, Mater. Today Commun., 2021, 28, 102584 CrossRef CAS.
  53. R. Li, L. Zhang, L. Shi and P. Wang, ACS Nano, 2017, 11, 3752–3759 CrossRef CAS.
  54. C. Song, X. Liu, M. Xu, D. Masi, Y. Wang, Y. Deng, M. Zhang, X. Qin, K. Feng, J. Yan, J. Leng, Z. Wang, Y. Xu, B. Yan, S. Jin, D. Xu, Z. Yin, D. Xiao and D. Ma, ACS Catal., 2020, 10, 10364–10374 CrossRef CAS.
  55. M. Xiong, X. Shan, C. Liu, L. Yang, M. Meng, Y. Di and Z. Gan, Appl. Surf. Sci. Adv., 2021, 3, 100050 CrossRef.
  56. Q. Pan, S. Zhang, R. Li, Y. He and Y. Wang, J. Mater. Chem. B, 2019, 7, 2948–2953 RSC.
  57. S. Dash, J. de Ruiter and K. K. Varanasi, Sci. Adv., 2018, 4, eaat0127 CrossRef CAS PubMed.
  58. L. Zhu, T. Ding, M. Gao, C. K. N. Peh and G. W. Ho, Adv. Energy Mater., 2019, 9, 1900250 CrossRef.
  59. P. Cheng, D. Wang and P. Schaaf, Adv. Sustainable Syst., 2022, 6, 2200115 CrossRef CAS.
  60. C. Abram, J. Shan, X. Yang, C. Yan, D. Steingart and Y. Ju, ACS Appl. Energy Mater., 2019, 2, 1319–1329 CrossRef CAS.
  61. B. Zhu, H. Kou, Z. Liu, Z. Wang, D. K. MacHaria, M. Zhu, B. Wu, X. Liu and Z. Chen, ACS Appl. Mater. Interfaces, 2019, 11, 35005–35014 CrossRef CAS.
  62. X. Liu, X. Jin, L. Li, J. Wang, Y. Yang, Y. Cao and W. Wang, J. Mater. Chem. A, 2020, 8, 12526–12537 RSC.
  63. Q. Yan, B. Xin, Z. Chen and Y. Liu, Mater. Today Commun., 2021, 29, 102877 CrossRef CAS.
  64. L. Zhu, M. Gao, C. K. N. Peh and G. W. Ho, Mater. Horiz., 2018, 5, 323–343 RSC.
  65. J. Chu, Y. Cai, C. Li, X. Wang, Q. Liu and M. He, Waste Manage., 2021, 124, 273–282 CrossRef CAS.
  66. S. Andreasi Bassi, D. Tonini, H. Saveyn and T. F. Astrup, Environ. Sci. Technol., 2022, 56, 501–511 CrossRef CAS.
  67. J. Chu, Y. Cai, C. Li, X. Wang, Q. Liu and M. He, Waste Manage., 2021, 124, 273–282 CrossRef CAS.
  68. S. Andreasi Bassi, D. Tonini, H. Saveyn and T. F. Astrup, Environ. Sci. Technol., 2022, 56, 501–511 CrossRef CAS.

Footnotes

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d2ta08127j
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