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. 2020 Mar 16;12(15):17929–17935. doi: 10.1021/acsami.9b21240

Viscoelastic Hydrogel Microfibers Exploiting Cucurbit[8]uril Host–Guest Chemistry and Microfluidics

Zhi-Jun Meng †,, Ji Liu ⊥,§,*, Ziyi Yu , Hantao Zhou , Xu Deng †,*, Chris Abell ‡,*, Oren A Scherman ⊥,*
PMCID: PMC7163916  PMID: 32176477

Abstract

graphic file with name am9b21240_0005.jpg

Fiber-shaped soft constructs are indispensable building blocks for various 3D functional objects such as hierarchical structures within the human body. The design and fabrication of such hierarchically structured soft materials, however, are often challenged by the trade-offs between stiffness, toughness, and continuous production. Here, we describe a microfluidic platform to continuously fabricate double network hydrogel microfibers with tunable structural, chemical, and mechanical features. Construction of the double network microfibers is accomplished through the incorporation of dynamic cucurbit[n]uril host–guest interactions, as energy dissipation moieties, within an agar-based brittle network. These microfibers exhibit an increase in fracture stress, stretchability, and toughness by 2–3 orders of magnitude compared to the pristine agar network, while simultaneously gaining recoverable hysteretic energy dissipation without sacrificing mechanical strength. This strategy of integrating a wide range of dynamic interactions with the breadth of natural resources could be used in the preparation of functional hydrogels, providing a versatile approach toward the continuous fabrication of soft materials with programmable functions.

Keywords: microfluidic, hydrogel microfibers, supramolecular network, curcutbit[n]uril, self-healing


Hydrogels are essentially versatile building blocks in living materials, with live creatures as representative prototypes of hydrogel-embodied adaptive machines.16 The intricacy and vast diversity found in biological systems from soft molluscs to hybrid vertebrates, relies on the sophisticated merging of many biological modalities, including gels, tissues, fibers, muscles, tendons, and skeletal constructs.5,7,8 Such biological modalities are exceedingly complex and possess hierarchically assembled structures featuring a wide length scale, ranging from nano-, to micro-, to even macroscale, e.g., 3D fiber-shaped blood vessels, neural pathways, and muscle fibers.912 A high level of functionality can be achieved in artificial 3D structures through combination of tailor-made molecular engineering and structural complexity formulation.8 Although technologically incomparable to the high-level complexity of a natural system, these artificial counterparts have sparked the new generation of hierarchically structured functional materials exploited in advanced actuators, soft machines, flexible electronics, and artificial cellular constructs for tissue engineering, etc.(3,4,1322)

Inspired by the 3D elongated structure of neural pathways and blood vessels, meter-long hydrogel microfibers have been successfully prepared through continuous microfluidic fabrication relying on the diffusion of Ca2+ into an alginate flow, as well as ionic cross-linking of alginate backbones.10,11,2325 Unfortunately, alginate/Ca2+ systems exhibit low mechanical strength (fracture energies < 10 J m–2),2 which has posed challenges for their applications. Recently, significant progress has been made toward hydrogel networks with outstanding toughness, resilience, and elasticity, as well as stretchability.5 One example in particular exploits the formulation of double network (DN) constructs, pioneered by Gong and co-workers.5,26,27 DN hydrogels consist of two interpenetrating polymer networks with contrasting mechanical properties, where the first network is highly stretched and densely cross-linked (stiff and brittle) and the second is flexible and sparsely cross-linked (soft and stretchable).5,26

Herein, we report the design rationale for tough and highly stretchable hydrogel microfibers through microfluidics as outlined in Figure 1a (see Supporting Information (SI) Part I: Supplementary Experimental Details for the detailed fabrication process). The initial step involved the formation of hydrogel microfibers from a hot aqueous solution, consisting of agar and acrylamide-based monomer precursors. Prompt and effective cooling of the hot solution (inner tubular capillary, 700 mm) with ice water (external square capillary, 1000 mm) induced the rapid gelation of an agar phase, leading to the formation of the first network (SI Figure S1). Here, the sharp thermal transition induces agar network formation, enabling continuous fabrication of meter-long and transparent microfibers (Figure 1b), similar to the alginate/Ca2+ system based on multiple laminar flow.10 However, different from the in situ solidification of alginate flow relying on diffusion/penetration of Ca2+,10,11,2325 which resulted in an inhomogeneous gradient, thermoinduced gelation of agar can be readily manipulated without any segregated microstructures. A subsequent UV-induced radical polymerization (365 nm, 8 W, 1 h, 0 °C) of acrylamide (AAm)-based monomer precursors is then carried out to generate the second hydrogel network (Figure 1c). The monomer precursors used here consist of a 95:5 mixture of hydrophilic acrylamide and 1-benzyl-3-vinylimidazolium bromide (BVIm), which serves as a supramolecular cross-linker upon complexation with cucurbit[8]uril (CB[8]) in a 2:1 manner (Ka1 = 4.21 × 107 M–1; Ka2 = 4.25 × 105 M–1),15,22 yielding a CB[8] supramolecular hydrogel network (Figure 1a). Homogeneous and transparent DN hydrogel microfibers are thus obtained (Figure 1d), other than the core–sheath structure as reported by Liu and co-workers.6 Moreover, our strategy here does not involve those multistep manipulations such as the monomer soaking and afterword polymerization.26 Our straightforward strategy represents a modular synthetic approach to a diverse range of DN microfibers with tunable polymer properties, by manipulating the monomer composition,28 which is not the theme of our current work.

Figure 1.

Figure 1

(a) Schematic illustration for continuous fabrication of double network hydrogel microfibers by integrating the microfluidic fabrication and supramolecular host–guest chemistry. A hot mixture solution of agar and an acrylamide-based monomer precursor (T1 = 50 °C) was injected into the microfluidic channel, while in situ cooling with ice water (T2 = 0 °C) induced the immediate gelation of agar, forming the first hydrogel network (T0 = 20 °C and T3 = 0 °C). Further UV-activated radical copolymerization of the acrylamide-based monomer precursor and the BVIm:CB[8] supramolecular cross-linker led to the second supramolecular hydrogel network. (b) Image of the hydrogel microfibers before UV irradiation. (c) Microscopic images of the hydrogel microfiber before and after UV-activated generation of the second hydrogel network. (d) Image of the hydrogel microfibers after UV irradiation.

As revealed in our previous works,29,30 incorporation of dynamic CB[8] host–guest complexes imparts the hydrogel networks with remarkable toughness and energy dissipation through reversible dissociation, while subsequent re-formation of the ternary complexes leads to immediate recovery of mechanical properties and prompt self-healing at room temperature. In contrast, the agar network is constructed through the association and reorganization of coil-to-helix transitions, leading to a stiff and brittle network through helical bundles. Coupling these two disparate networks into one entity could generate a tough DN hydrogel. Tensile tests were conducted to probe the mechanical performance of DN microfibers, while hydrogel microfibers without CB[n] or alternatively with the smaller CB[7] macrocycle as well as pristine agar were used as controls. DN hydrogel microfibers exhibited excellent stretchability over 18× their original length (Figure 2a,d and SI Movie S1). In a sharp contrast, all controls were too brittle to stretch (Figure 2a and SI Movie S2), with a fracture strain below 40%. The extreme stretchability and outstanding toughness of the DN hydrogel microfibers could be directly attributed to force-induced dissociation of the CB[8] ternary complexes dissipating local stress, as well as spontaneous re-formation of the complexes, maintaining the tensile stress and strain.15,22

Figure 2.

Figure 2

Typical tensile-strain curves of the DN hydrogel microfibers including controls without CB[n], with CB[7], and with a pure agar fiber, leading to nominal stress (a) and true stress (b) plots (deformation rate, 100 mm min–1). True strain is defined as σtrue = σnominal(1 + λ). (c) Summary of Young’s moduli, fracture stress and fracture strain for each hydrogel microfiber sample. (d) Manual stretching of an agar/CB[8] DN hydrogel microfiber sample (i) by 10× (ii).

It is important to note that all of the microfibers (including the three controls) exhibited comparable Young’s moduli (slope measured within 5% strain), which confirms that the material stiffness was dominated by the agar network (Figure 2b). However, the fracture stress of the Agar/CB[8] DN hydrogel microfibers was >4× that of the CB[7] control, >6× the control without any CB[n], and >20× that of pristine agar fibers (Figure 2a,c). The toughness of the agar/CB[8] DN hydrogel microfiber is estimated as 4.02 MJ m–3, which is >470× that of the CB[7] control (8.49 × 10–3 MJ m–3), and >530× the control without CB[n] (7.5 × 10–3 MJ m–3) and >2800× that of pristine agar microfiber (1.43 × 10–3 MJ m–3), corroborating a substantial increase in the toughness of the DN microfibers (Figure S3). On the other hand, the fracture strain (elongation at break) increased by over 2 orders of magnitude. In light of its extreme stretchability, the cross-sectional area of the DN microfiber changed substantially during stretching; therefore, a further plot of true stress (σtrue = σnominal(1 + λ)) versus strain is more informative, assuming that the hydrogel is not compressible. As shown in Figure 2b, σtrue at fracture reached as high as 8 MPa, >20× σnominal and 2 orders of magnitude greater than σtrue of the control fibers (Figure 2b and SI Figure S2 ). Here we did not compare the mechanical properties between our hydrogel microfibers and the bulk hydrogel, due to their different polymerization conditions. Most reported double network hydrogels, for example, agar/PAAm DN hydrogel by Zheng and co-workers,31 were polymerized under inert conditions after rigorous removal of oxygen, thus yielding a much more regular network. In our case, fiber production was conducted in air and any interference of oxygen during polymerization was readily overcome by increasing the amount of initiator. This readily led to hydrogel microfibers with satisfactory mechanical performance and high efficiency with lower energy consumption.

While a few reports have exploited the generation of hydrogel microfibers using microfluidics,24 most of them focused on the generation of alginate/Ca2+ microfibers;10,11,23,25 our work here is the first report dedicated to tough and stretchable hydrogel microfibers through host–guest molecular engineering. Such methodology serves as a versatile toolbox, which can be readily extended to a wide variety of hydrogel microfibers with designed and programmable physical, chemical, and mechanical performance.

To ascertain the nonlinear and viscoelastic behavior of the DN hydrogel microfibers at large deformation, uniaxial stretching experiments were performed at various stretching rates (Figure 3a). The mechanical properties depend strongly on stretching rate and are typical for supramolecular hydrogel networks.2,5,15,22 A clear yielding phenomenon can be observed at a strain of ca. 70% with the yield stress increasing from 0.13 MPa (100 mm min–1) to 0.25 MPa (600 mm min–1). When the stretching rate increased, a slight decrease in the fracture strain was detected, however, accompanying with an increase in fracture stress and Young’s modulus (Figure 3b). This viscoelasticity profile is similar to that observed for the pure CB[8] supramolecular hydrogel network (without any agar),15,22 arising from time-dependent dynamic dissociation and reassociation of CB[8] host–guest complexes in the network.

Figure 3.

Figure 3

(a) Deformation-rate-dependent tensile stress–strain curves of the agar/CB[8] DN hydrogel microfibers and (b) reliance of mechanical parameters (Young’s moduli, fracture stress, and fracture strain) on deformation rate. (c) Consecutive tensile loading–unloading cycles of an agar/CB[8] DN microfiber sample, following gradually increased cyclic strains (25–300%). Marginal overlapping of the cyclic curves with the original tensile curve corroborates high-level reproducibility. (d) Stress–strain plots of cyclic tensile tests at a strain of 250%, followed by an immediate second tensile test, or after a waiting time of 1 h, with the original tensile test curve for comparison.

Another distinctive and advantageous feature arising from supramolecular interactions in the network is their capability to undergo spontaneous dissociation/association, imparting both microstructural self-recovery and (macroscopic) bulk material self-healing. Stress–strain profiles under consecutive cyclic tensile tests (10–1500% strain, Figure 3c and SI Figures S4–S10) demonstrated appreciable hysteresis between each loading cycle. Notable increases in hysteresis energy (the energy consumed due to internal bond failure) reflect the amount of energy dissipation through force-induced dissociation of the ternary complexes. A substantial decrease in modulus was observed (Figure 3d, green trace to black trace) upon immediate stretching of a DN microfiber sample following a cyclic tensile test (strain, 250%; Figure 3d, purple trace); however, the material displayed self-repairing after 60 min at room temperature (Figure 3d, orange trace). Zheng and co-workers31 claimed that, in the agar/PAAm double network, the agar first network ruptured into small clusters and dissipated energy, while the PAAm second network remained intact. Here, in the case of agar/CB[8] DN, while it is impossible to differentiate the specific role of each network directly during the mechanical tests, we speculate that both networks, the agar and CB[8] single network, synergistically contribute to the overall energy dissipation behavior, through both rupturing of the agar network into small clusters and the reversible association/dissociation of the CB[8] host–guest complexes, respectively.

While microscopic self-repair of the DN hydrogel microfibers is clearly evident (Figure 3c,d), further investigation into macroscopic self-healing was carried out through two different tests. A sample was cut with a blade (in approximately half of its original dimension, Figure 4a,b and SI Figure S11) and brought back into contact with itself to demonstrate direct self-healing (Figure 4d(i)), while another test took two different samples and “welded” them together through contact, displaying indirect self-healing or adhesion (Figure 4d(ii)). Previous reports have revealed that the self-healing performance of agar/polyacrylamide-based DN hydrogels could be only achieved favorably through exposure to elevated temperature, e.g., 95 °C, in order to activate melting, rearrangement, and re-formation of the agar network.31,32 Moreover, unfavorable self-healing at room temperature was reported by Gong and co-workers,33 since the presence of covalent cross-links dramatically inhibited polymer chain mobility.34 Surprisingly, in the case of agar/CB[8] DN hydrogel microfibers, substantial self-healing at room temperature was observed for both self-healed and adhered samples, sustaining stretching over 13× their original dimensions. As described in Figure 4c, self-healing and interfacial adhesion is promoted by the second CB[8] network within which the recomplexation or rearrangement of the ternary complexes serves to dramatically accelerate reconstruction of the network,22 thus recovering the macroscopic mechanical properties. While complete self-healing/recovery was observed in the pure CB[8] hydrogel network,21 partial self-healing could be quantified with a healing efficiency (defined as the ratio of tensile work for the healed samples to that of the original samples) up to 70% in direct self-healing and 40% in adhesion, respectively. The difference in self-healing efficiency between the direct self-healing and adhesion here might be interpreted by the polymer chain state. Normally, the hydrogel surface possesses a lower water content than the inner part, due to the surface water loss, especially for hydrogel microfibers with a higher surface–volume ratio. Therefore, polymer chains within the hydrogel networks exhibit higher flexibility than those on the surfaces. That is why the new cut surface can self-heal faster than the adhesion between two hydrogel ends. A “scar” of the cut was still visible under microscopic observation after 12 h (Figure 4d(i-1),d(i-2)), which could be attributed to the limited chain mobility and rearrangement of the primary agar network. Undoubtedly, an increase in temperature would favor accelerating agar chain mobility, likely leading to a higher degree of self-healing, as demonstrated by Zheng and co-workers.32 In our case, considering the large surface to volume ratio of the microfiber, we did not exploit higher temperature-accelerated self-healing because it would lead to unavoidable water evaporation at elevated temperatures. Nevertheless, the room-temperature self-healing of the DN microfiber highlights the beauty of incorporating supramolecular recognition elements, e.g., CB[n] host–guest chemistry, into the system.

Figure 4.

Figure 4

(a) Stress–strain curve of self-healed and adhered DN hydrogel microfiber samples. The self-healed sample was obtained by cutting a sample (approximately half of the original dimension) and brought into direct contact for 12 h at room temperature, while an adhered sample was made from two different microfiber samples. (b) Comparison of fracture strain, fracture stress, and healing efficiency for the self-healed and adhered samples. (c) Schematic illustration of macroscopic self-healing promoted by the second CB[8] network, within which the reassociation or rearrangement of the ternary complexes dramatically accelerate the reconstruction of the dynamic CB[8] hydrogel network. (d) Manual stretching of a self-healed (i) and adhered (ii) hydrogel microfiber sample. Inset: microscopic images showing the location of the cut, which is still visible after 12 h. For the adhered test, one of the samples was stained with a small amount of calcium blue to differentiate it from the self-healed sample.

A major challenge in material design is the trade-off between stiffness and extensibility/toughness. Here, we circumvent this inherent trade-off by incorporating sacrificial, reversible CB[n] molecular recognition into a brittle agar hydrogel microfiber. Compared with pristine agar microfibers or previously reported alginate/Ca2+ microfibers, the DN microfibers produced here exhibit 2 orders of magnitude increase in fracture stress, stretchability, and toughness, while gaining recoverable hysteretic energy dissipation. Coexistence of such mechanical characteristics is rare for hydrogel microfibers. Fabrication of these DN hydrogel microfibers represents a powerful and facile method to produce anisotropic microscale supramolecular functional materials, holding great promise for myriad applications including artificial silks, tissue engineering, wearable electronic devices, and microactuators.

Acknowledgments

Z.-J.M. and X.D. acknowledge the National Natural Science Foundation of China (Grant No. 21603026) and the Max Planck Partner Group grant. J.L. thanks the Marie Curie FP7 SASSYPOL ITN (Grant No. 607602) program and O.A.S. thanks the EPRSC (Grant No. EP/L027151) and Walters–Kundert Trust Next Generation Fellowship for funding.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsami.9b21240.

  • Supplementary experimental details; supplementary results (Figures S1–S11) (PDF)

  • Movie S1 showing manual tensile test with the DN hydrogel microfibers (MP4)

  • Movie S2 showing manual tensile test with the DN hydrogel microfibers control in the presence of CB[7] (MP4)

The authors declare no competing financial interest.

Supplementary Material

am9b21240_si_001.pdf (1.8MB, pdf)
am9b21240_si_002.mp4 (523KB, mp4)
am9b21240_si_003.mp4 (438.5KB, mp4)

References

  1. Maier G. P.; Rapp M. V.; Waite J. H.; Israelachvili J. N.; Butler A. Adaptive Synergy between Catechol and Lysine Promotes Wet Adhesion by Surface Salt Displacement. Science 2015, 349, 628–632. 10.1126/science.aab0556. [DOI] [PubMed] [Google Scholar]
  2. Sun J. Y.; Zhao X. H.; Illeperuma W. R. K.; Chaudhuri O.; Oh K. H.; Mooney D. J.; Vlassak J. J.; Suo Z. G. Highly Stretchable and Tough Hydrogels. Nature 2012, 489, 133–136. 10.1038/nature11409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Li J.; Celiz A. D.; Yang J.; Yang Q.; Wamala I.; Whyte W.; Seo B. R.; Vasilyev N. V.; Vlassak J. J.; Suo Z.; Mooney D. J. Tough Adhesives for Diverse Wet Surfaces. Science 2017, 357, 378–381. 10.1126/science.aah6362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Liu X.; Liu J.; Lin S.; Zhao X.. Hydrogel Machines. Mater. Today 2020, in press, 10.1016/j.mattod.2019.12.026. [DOI] [Google Scholar]
  5. Gong J. P. Materials Both Tough and Soft. Science 2014, 344, 161–162. 10.1126/science.1252389. [DOI] [PubMed] [Google Scholar]
  6. Dou Y. Y.; Wang Z. P.; He W. Q.; Jia T. J.; Liu Z. J.; Sun P. C.; Wen K.; Gao E. L.; Zhou X. Z.; Hu X. Y.; Li J. J.; Fang S. L.; Qian D.; Liu Z. F. Artificial Spider Silk from Ion-Doped and Twisted Core-Sheath Hydrogel Fibres. Nat. Commun. 2019, 10, 5293. 10.1038/s41467-019-13257-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Green J. J.; Elisseeff J. H. Mimicking Biological Functionality with Polymers for Biomedical Applications. Nature 2016, 540, 386–394. 10.1038/nature21005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Lutz J. F.; Lehn J. M.; Meijer E. W.; Matyjaszewski K. From Precision Polymers to Complex Materials and Systems. Nat. Rev. Mater. 2016, 1, 16024. 10.1038/natrevmats.2016.24. [DOI] [Google Scholar]
  9. Frederix P. W. J. M.; Scott G. G.; Abul-Haija Y. M.; Kalafatovic D.; Pappas C. G.; Javid N.; Hunt N. T.; Ulijn R. V.; Tuttle T. Exploring the Sequence Space for (Tri-)peptide Self-assembly to Design and Discover. Nat. Chem. 2015, 7, 30–37. 10.1038/nchem.2122. [DOI] [PubMed] [Google Scholar]
  10. Onoe H.; Okitsu T.; Itou A.; Kato-Negishi M.; Gojo R.; Kiriya D.; Sato K.; Miura S.; Iwanaga S.; Kuribayashi-Shigetomi K.; Matsunaga Y. T.; Shimoyama Y.; Takeuchi S. Metre-long Cell-Laden Microfibres Exhibit Tissue Morphologies and Functions. Nat. Mater. 2013, 12, 584–590. 10.1038/nmat3606. [DOI] [PubMed] [Google Scholar]
  11. Kang E.; Jeong G. S.; Choi Y. Y.; Lee K. H.; Khademhosseini A.; Lee S. H. Digitally Tunable Physicochemical Coding of Material Composition and Topography in Continuous Microfibres. Nat. Mater. 2011, 10, 877–883. 10.1038/nmat3108. [DOI] [PubMed] [Google Scholar]
  12. Leong M. F.; Toh J. K. C.; Du C.; Narayanan K.; Lu H. F.; Lim T. C.; Wan A. C. A.; Ying J. Y. Patterned Prevascularised Tissue Constructs by Assembly of Polyelectrolyte Hydrogel Fibres. Nat. Commun. 2013, 4, 2353. 10.1038/ncomms3353. [DOI] [PubMed] [Google Scholar]
  13. Annabi N.; Zhang Y. N.; Assmann A.; Sani E. S.; Cheng G.; Lassaletta A. D.; Vegh A.; Dehghani B.; Ruiz-Esparza G. U.; Wang X. C.; Gangadharan S.; Weiss A. S.; Khademhosseini A. Engineering a Highly Elastic Human Protein-Based Sealant for Surgical Applications. Sci. Transl. Med. 2017, 9, eaai7466. 10.1126/scitranslmed.aai7466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Wu Y. C.; Shah D. U.; Liu C. Y.; Yu Z. Y.; Liu J.; Ren X. H.; Rowland M. J.; Abell C.; Ramage M. H.; Scherman O. A. Bioinspired Supramolecular Fibers Drawn from a Multiphase Self-Assembled Hydrogel. Proc. Natl. Acad. Sci. U. S. A. 2017, 114, 8163–8168. 10.1073/pnas.1705380114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Liu J.; Tan C. S. Y.; Yu Z. Y.; Li N.; Abell C.; Scherman O. A. Tough Supramolecular Polymer Networks with Extreme Stretchability and Fast Room-Temperature Self-Healing. Adv. Mater. 2017, 29, 1605325. 10.1002/adma.201605325. [DOI] [PubMed] [Google Scholar]
  16. Guo J.; Liu X.; Jiang N.; Yetisen A. K.; Yuk H.; Yang C.; Khademhosseini A.; Zhao X.; Yun S. H. Highly Stretchable, Strain Sensing Hydrogel Optical Fibers. Adv. Mater. 2016, 28, 10244–10249. 10.1002/adma.201603160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Zhang Y. S.; Khademhosseini A. Advances in Engineering Hydrogels. Science 2017, 356, eaaf3627. 10.1126/science.aaf3627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Liu J.; Scherman O. A. Cucurbit[n]uril Supramolecular Hydrogel Networks as Tough and Healable Adhesives. Adv. Funct. Mater. 2018, 28, 1800848. 10.1002/adfm.201800848. [DOI] [Google Scholar]
  19. Liu X.; Steiger C.; Lin S.; Parada G. A.; Liu J.; Chan H. F.; Yuk H.; Phan N. V.; Collins J.; Tamang S.; Traverso G.; Zhao X. 2019. Ingestible Hydrogel Device. Nat. Commun. 2019, 10, 493. 10.1038/s41467-019-08355-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Liu J.; Tan C. S. Y.; Scherman O. A. Dynamic Interfacial Adhesion through Cucurbit[n]uril Molecular Recognition. Angew. Chem. 2018, 130, 8992–8996. 10.1002/ange.201800775. [DOI] [PubMed] [Google Scholar]
  21. Lin S.; Liu J.; Liu X.; Zhao X. Muscle-Like Fatigue-Resistant Hydrogels by Mechanical Training. Proc. Natl. Acad. Sci. U. S. A. 2019, 116, 10244–10249. 10.1073/pnas.1903019116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Liu J.; Tan C. S.; Yu Z.; Lan Y.; Abell C.; Scherman O. A. Biomimetic Supramolecular Polymer Networks Exhibiting both Toughness and Self-Recovery. Adv. Mater. 2017, 29, 1604951. 10.1002/adma.201604951. [DOI] [PubMed] [Google Scholar]
  23. Meng Z. J.; Wang W.; Xie R.; Ju X. J.; Liu Z.; Chu L. Y. Microfluidic Generation of Hollow Ca-Alginate Microfibers. Lab Chip 2016, 16, 2673–2681. 10.1039/C6LC00640J. [DOI] [PubMed] [Google Scholar]
  24. Chung B. G.; Lee K. H.; Khademhosseini A.; Lee S. H. Microfluidic Fabrication of Microengineered Hydrogels and Their Application in Tissue Engineering. Lab Chip 2012, 12, 45–59. 10.1039/C1LC20859D. [DOI] [PubMed] [Google Scholar]
  25. Cheng Y.; Zheng F.; Lu J.; Shang L.; Xie Z.; Zhao Y.; Chen Y.; Gu Z. Z. Bioinspired Multicompartmental Microfibers from Microfluidics. Adv. Mater. 2014, 26, 5184–5190. 10.1002/adma.201400798. [DOI] [PubMed] [Google Scholar]
  26. Gong J. P.; Katsuyama Y.; Kurokawa T.; Osada Y. Double-Network Hydrogels with Extremely High Mechanical Strength. Adv. Mater. 2003, 15, 1155–1158. 10.1002/adma.200304907. [DOI] [Google Scholar]
  27. Zhang H. J.; Sun T. L.; Zhang A. K.; Ikura Y.; Nakajima T.; Nonoyama T.; Kurokawa T.; Ito O.; Ishitobi H.; Gong J. P. Tough Physical Double-Network Hydrogels Based on Amphiphilic Triblock Copolymers. Adv. Mater. 2016, 28, 4884–4890. 10.1002/adma.201600466. [DOI] [PubMed] [Google Scholar]
  28. Liu J.; Soo Yun Tan C.; Lan Y.; Scherman O. A. Toward a Versatile Toolbox for Cucurbit[n]uril-Based Supramolecular Hydrogel Networks through in Situ Polymerization. J. Polym. Sci., Part A: Polym. Chem. 2017, 55, 3105–3109. 10.1002/pola.28667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Liu J.; Lan Y.; Yu Z.; Tan C. S. Y.; Parker R. M.; Abell C.; Scherman O. A. Cucurbit[n]uril-based microcapsules self-assembled within microfluidic droplets: a versatile approach for supramolecular architectures and materials. Acc. Chem. Res. 2017, 50, 208–217. 10.1021/acs.accounts.6b00429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Tan C. S. Y.; Liu J.; Groombridge A. S.; Barrow S. J.; Dreiss C. A.; Scherman O. A. Controlling Spatiotemporal Mechanics of Supramolecular Hydrogel Networks with Highly Branched Cucurbit[8]uril Polyrotaxanes. Adv. Funct. Mater. 2018, 28, 1702994. 10.1002/adfm.201702994. [DOI] [Google Scholar]
  31. Chen Q.; Zhu L.; Zhao C.; Wang Q.; Zheng J. A robust, One-Pot Synthesis of Highly Mechanical and Recoverable Double Network Hydrogels Using Thermoreversible Sol–Gel Polysaccharide. Adv. Mater. 2013, 25, 4171–4176. 10.1002/adma.201300817. [DOI] [PubMed] [Google Scholar]
  32. Chen H.; Liu Y.; Ren B.; Zhang Y.; Ma J.; Xu L.; Chen Q.; Zheng J. Super Bulk and Interfacial Toughness of Physically Crosslinked Double-Network Hydrogels. Adv. Funct. Mater. 2017, 27, 1703086. 10.1002/adfm.201703086. [DOI] [Google Scholar]
  33. Ihsan A. B.; Sun T. L.; Kurokawa T.; Karobi S. N.; Nakajima T.; Nonoyama T.; Roy C. K.; Luo F.; Gong J. P. Self-Healing Behaviors of Tough Polyampholyte Hydrogels. Macromolecules 2016, 49, 4245–4252. 10.1021/acs.macromol.6b00437. [DOI] [Google Scholar]
  34. Chen Q.; Zhu L.; Chen H.; Yan H.; Huang L.; Yang J.; Zheng J. A Novel Design Strategy for Fully Physically Linked Double Network Hydrogels with Tough, Fatigue Resistant, and Self-Healing Properties. Adv. Funct. Mater. 2015, 25, 1598–1607. 10.1002/adfm.201404357. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

am9b21240_si_001.pdf (1.8MB, pdf)
am9b21240_si_002.mp4 (523KB, mp4)
am9b21240_si_003.mp4 (438.5KB, mp4)

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