Microwave synthesis and actuation of shape memory polycaprolactone foams with high speed
Open accessAbstract
Microwave technology is a highly effective approach to fast and uniform heating. This article investigates that the microwave heating as a novel method is used to rapidly foam and actuate biocompatible and biodegradable shape memory crosslinked-polycaprolactone (c-PCL) foams. The optical microscope proves that the resulting c-PCL foams have homogenous pore structure. Mechanical behavior and shape memory performance of c-PCL foams are investigated by static materials testing. Shape recovery ratio is approximately 100% and the whole recovery process takes only 98 s when trigged by microwave. Due to the unique principle of microwave heating, the recovery speed of c-PCL foams in microwave oven is several times faster than that in hot water and electric oven. Hence compared to the traditional heating methods, microwave is expected to bring more advantages to modern industry and scientific research in the field of smart materials and structures.
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SMPs are programmable (multi)stimuli-responsive shape-changing polymers and can recover their initial shape upon direct or Joule heating, radiation and laser heating, microwaves, pressure, moisture, solvent or solvent vapors, and changes in pH.
“SMPs also happen to be programmable (multi)stimuli-responsive shape-changing polymers and possess the remarkable property to recover their initial shape upon direct or Joule heating, radiation and laser heating, microwaves [2,3], pressure [4], moisture, solvent or solvent vapors [5] and change in the pH values [6].”
From Shape-memory polymers for multiple applications in the materials world (2016) · cites this paper as [2]
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Cites
Light-induced shape-memory polymers
Lendlein, A., Jiang, H., Jünger, O., & Langer, R. (2005) · Nature · doi:10.1038/nature03496 · Cited by 2,006 · see citing works
A review of stimuli-responsive shape memory polymer composites
Meng, H., & Li, G. (2013) · Polymer · doi:10.1016/j.polymer.2013.02.023 · Cited by 1,190 · cited 1× · see citing works
“The total enthalpy method was used to calculate the degree of crystallinity which was assessed by the equation (3)31:”
MethodWater-driven programmable polyurethane shape memory polymer: Demonstration and mechanism
Huang, W. M., Yang, B., An, L., Li, C., & Chan, Y. S. (2005) · Applied Physics Letters · doi:10.1063/1.1880448 · Cited by 616 · see citing works
pH‐Stimulated DNA Hydrogels Exhibiting Shape‐Memory Properties
Guo, W., Lu, C., Orbach, R., Wang, F., Qi, X., Cecconello, A., Seliktar, D., & Willner, I. (2015) · Advanced Materials · doi:10.1002/adma.201403702 · Cited by 388 · see citing works
A biodegradable shape-memory nanocomposite with excellent magnetism sensitivity
Yu, X., Zhou, S., Zheng, X., Guo, T., Xiao, Y., & Song, B. (2009) · Nanotechnology · doi:10.1088/0957-4484/20/23/235702 · Cited by 111 · see citing works
Remote activation of nanomagnetite reinforced shape memory polymer foam
Vialle, G., Di Prima, M., Hocking, E., Gall, K., Garmestani, H., Sanderson, T., & Arzberger, S. C. (2009) · Smart Materials and Structures · doi:10.1088/0964-1726/18/11/115014 · Cited by 59 · see citing works
Flagged first, then by citations
Research works printed but not linked: 23
- Leng J. S. et al. Shape-Memory Polymers-A Class of Novel Smart Materials. MRS Bulletin. 34, 848– 855 (2009).
- Leng J. S., Lv H. B., Liu Y. J. & Du S. Y. Electroactivate Shape-Memory Polymer Filled with Nanocarbon Particles and Short Carbon Fibers. Appl. Phys. Lett. 91, 144105 (2007).
- Bhattacharya K. & James R. D. The material is the machine. Science. 307, 53– 54 (2002). 15637259
- Lendlein A. & Kelch S. Shape-memory polymers. Angew. Chem. Int. Ed. 41, 2034– 2057 (2002). 19746597
- Jeon S. et al. Fullerene Embedded Shape Memory Nanolens Array. Sci. Rep. 3, 3269 (2013). 24253423 PMC3834361
- Zhang D., Petersen K. M. & Grunlan M. A. Inorganic–organic shape memory polymer (SMP) foams with highly tunable properties. ACS Appl. Mater. Inter. 5, 186– 191 (2012). 23227875
- Hearon K., Singhal P. & Horn J. Porous shape-memory polymers. Polym. Rev. 53, 41– 75 (2013). PMC3639501 23646038
- Singhal P., Boyle A. & Brooks M. L. Controlling the actuation rate of low-density shape-memory polymer foams in water. Macromol. Chem. Phys. 214, 1204– 1214 (2013). 25530688 PMC4268140
- Small W., Singhal P., Wilson T. S. & Duncan M. J. Biomedical applications of thermally activated shape memory polymers. J. Mater. Chem. 20, 3356– 3366 (2010). 21258605 PMC3023912
- Nardo L. D. et al. Shape memory polymer cellular solid design for medical applications. Smart Mater. Struct. 20, 035004 (2011).
- Metcalfe A. et al. Cold hibernated elastic memory foams for endovascular interventions. Biomaterials. 24, 491– 497 (2003). 12423604
- Rodriguez J. N. et al. Opacification of Shape Memory Polymer Foam Designed for Treatment of Intracranial Aneurysms. Ann. Biomed. Eng. 40, 883– 897 (2012). 22101759 PMC3311707
- Baker R. M., Henderson J. H. & Mather P. T. Shape memory poly(ε-caprolactone)-co- poly(ethylene glycol) foams with body temperature triggering and two-way actuation. J. Mater. Chem. B. 1, 4916– 4920 (2013). 32261080
- Wang S., Lu L. & Gruetzmacher J. A. Synthesis and characterizations of biodegradable and crosslinkable poly (ε-caprolactone fumarate), poly (ethylene glycol fumarate), and their amphiphilic copolymer. Biomaterials. 27, 832– 841 (2006). 16102819
- Sun H., Mei L. & Song C. The in vivo degradation, absorption and excretion of PCL-based implant. Biomaterials. 27, 1735– 1740 (2006). 16198413
- Coombes A. G., Rizzi S. C. & Williamson M. Precipitation casting of polycaprolactone for applications in tissue engineering and drug delivery. Biomaterials. 25, 315– 325 (2004). 14585719
- Yu X., Zhou S. B., Wang L. & Gong T. Electro-active Shape Memory Properties of Poly(epsilon-caprolactone)/Functionalized Multiwalled Carbon Nanotube Nanocomposite. ACS Appl. Mater. Inter. 12, 3506– 3514 (2010). 21090574
- Squeo E. A. & Quadrini F. Shape memory epoxy foams by solid-stat foaming. Smart Mater. Struct. 19, 105002 (2010).
- Salerno A., Zeppetelli S. & Maio E. D. Design of bimodal PCL and PCL-HA nanocomposite scaffolds by two step depressurization during solid-state supercritical CO2 foaming. Macromol. Rapid. Comm. 32, 1150– 1156 (2011). 21648005
- Salerno A., Iannace S. & Netti P. A. Open-pore biodegradable foams prepared via gas foaming and microparticulate templating. Macromol. Biosci. 8, 655– 664 (2008). 18350540
- Flory P. J. Principles of polymer chemistry. Cornell University Press. (1953).
- Xie T. Tunable polymer multi-shape memory effect. Nature. 464, 267– 270 (2010). 20220846
- Hoz A., Diaz-Ortiz A. & Moreno A. Microwaves in organic synthesis: Thermal and non-thermal microwave effects. Chem. Soc. Rev. 34, 164– 178 (2005). 15672180
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Shape-memory polymers for multiple applications in the materials world
Pilate, F., Toncheva, A., Dubois, P., & Raquez, J.-M. (2016) · European Polymer Journal · doi:10.1016/j.eurpolymj.2016.05.004 · Cited by 332 · see citing works
Recent developments in shape memory polymer nanocomposites: Actuation methods and mechanisms
Wang, W., Liu, Y., & Leng, J. (2016) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2016.03.007 · Cited by 182 · see citing works
Self-citation
- Authors
- Zhang, F., Zhou, T., Liu, Y., & Leng, J.
- Affiliations
- Harbin Institute of Technology (CN)
- Corresponding author
- Leng, Jinsong
- Venue
- Scientific Reports
- Published
- 2015-06-08
- Volume
- 5
- Issue
- 1
- Pages
- 11152-11152
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC4459203
- OpenAlex
- W2260578105
- Cited by
- 97
- References
- 6
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 11 · 2023: 11 · 2022: 9 · 2021: 9 · 2020: 15 · 2019: 9 · 2018: 6 · 2017: 3 · 2016: 8 · 2015: 2
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (11225211, 11272106, Grant No.11225211)
- Topics
- Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Physical Sciences › Materials Science › Polymers and Plastics › Polymer Foaming and Composites
- Keywords
- microwave heating, shape memory polymers, polymer foams, shape recovery, biodegradable polymers, biomaterials, pore structure, mechanical properties, smart materials
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