A biodegradable shape-memory nanocomposite with excellent magnetism sensitivity
Open accessAbstract
This paper reports a kind of biodegradable nanocomposite which can show an excellent shape-memory property in hot water or in an alternating magnetic field with f = 20 kH and H = 6.8 kA m(-1). The nanocomposite is composed of crosslinked poly(epsilon-caprolactone) (c-PCL) and Fe(3)O(4) nanoparticles. The crosslinking reaction in PCL with linear molecular structure was realized using benzoyl peroxide (BPO) as an initiator. The biocompatible Fe(3)O(4) magnetite nanoparticles with an average size of 10 nm were synthesized according to a chemical coprecipitation method. The initial results from c-PCL showed crosslinking modification had brought about a large enhancement in shape-memory effect for PCL. Then a series of composites made of Fe(3)O(4) nanoparticles and c-PCL were prepared and their morphological properties, mechanical properties, thermodynamic properties and shape-memory effect were investigated in succession. Significantly, the photos of the shape-memory process confirmed the anticipatory magnetically responsive shape-recovery effect of the nanocomposites because inductive heat from Fe(3)O(4) can be utilized to actuate the c-PCL vivification from their frozen temporary shape. All the results imply a very feasible method to fabricate shape-memory PCL-based nanocomposites since just a simple modification is required. Additionally, this modification would endow an excellent shape-memory effect to all other kinds of polymers so that they could broadly serve in various fields, especially in medicine.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The typical fillers used to achieve the magnetic-active shape memory effect include metal particles, iron(III) oxide particles, ferromagnetic particles, NdFeB particles, Ni-Mn-Ga single crystals and nickel powders.
“The typical fillers used to achieve the magnetic-active SME include metal particles, iron(III) oxide particles [379,386], ferromagnetic particles [387], NdFeB particles [388], NieMneGa singlecrystals [389] and nickel powders [390].”
From A review of stimuli-responsive shape memory polymer composites (2013) · cites this paper as [379]
The Abstract and Introduction report magnetically triggered shape recovery using Fe3O4 magnetite nanoparticles, supporting the use of magnetic iron-oxide particles as fillers. Fe3O4 is iron(II,III) oxide, however, not specifically iron(III) oxide; the other listed fillers have separate citations and are not attributed to this paper. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe typical fillers used to achieve the magnetic-active SME include metal particles, iron(III) oxide particles, ferromagnetic particles, NdFeB particles, Ni-Mn-Ga single crystals and nickel powders.
“The typical fillers used to achieve the magnetic-active SME include metal particles, iron(III) oxide particles [379,386], ferromagnetic particles [387], NdFeB particles [388], NieMneGa singlecrystals [389] and nickel powders [390].”
From A review of stimuli-responsive shape memory polymer composites (2013) · cites this paper as [379]
The Introduction and Experimental details describe Fe₃O₄ magnetite particles used to trigger shape recovery in a magnetic field, supporting the cited example of a magnetic iron-oxide filler. Fe₃O₄ is iron(II,III) oxide, however, not the iron(III) oxide specified in the citing sentence. The other fillers have separate citations and are not attributed to this paper. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Biodegradable, Elastic Shape-Memory Polymers for Potential Biomedical Applications
Lendlein, A., & Langer, R. (2002) · Science · doi:10.1126/science.1066102 · Cited by 2,146 · see citing works
Rapid and reversible shape changes of molecular crystals on photoirradiation
Kobatake, S., Takami, S., Muto, H., Ishikawa, T., & Irie, M. (2007) · Nature · doi:10.1038/nature05669 · Cited by 1,283 · see citing works
Mohr, R., Kratz, K., Weigel, T., Lucka-Gabor, M., Moneke, M., & Lendlein, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600079103 · Cited by 819 · see citing works
Polymers move in response to light
Jiang, H. Y., Kelch, S., & Lendlein, A. (2006) · Advanced Materials · doi:10.1002/adma.200502266 · Cited by 631 · see citing works
Guided bone regeneration membrane made of polycaprolactone/calcium carbonate composite nano-fibers
Fujihara, K., Kotaki, M., & Ramakrishna, S. (2004) · Biomaterials · doi:10.1016/j.biomaterials.2004.09.014 · Cited by 606 · see citing works
Zhou, S., Deng, X., & Yang, H. (2003) · Biomaterials · doi:10.1016/s0142-9612(03)00207-2 · Cited by 384 · see citing works
Self-citationMedical applications of shape memory polymers
Sokolowski, W. M., Metcalfe, A., HAYASHI, S., Yahia, L., & Raymond, J. (2007) · Biomedical Materials · doi:10.1088/1748-6041/2/1/s04 · Cited by 369 · see citing works
Strong, Tailored, Biocompatible Shape‐Memory Polymer Networks
Yakacki, C. M., Shandas, R., Safranski, D., Ortega, A. M., Sassaman, K., & Gall, K. (2008) · Advanced Functional Materials · doi:10.1002/adfm.200701049 · Cited by 368 · see citing works
Inductively Heated Shape Memory Polymer for the Magnetic Actuation of Medical Devices
Buckley, P. R., McKinley, G. H., Wilson, T. S., Small, W., Benett, W. J., Bearinger, J. P., McElfresh, M. W., & Maitland, D. J. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.877113 · Cited by 361 · see citing works
Functional magnetic particles for medical application
Shinkai, M. (2002) · Journal of Bioscience and Bioengineering · doi:10.1016/s1389-1723(02)80202-x · Cited by 343 · see citing works
Functional Magnetic Particles for Medical Application.
Shinkai, M. (2002) · Journal of Bioscience and Bioengineering · doi:10.1263/jbb.94.606 · Cited by 331 · see citing works
Kim, D. K., Zhang, Y., Kehr, J., Klason, T., Bjelke, B., & Muhammed, M. A. (2001) · Journal of Magnetism and Magnetic Materials · doi:10.1016/s0304-8853(00)01255-5 · Cited by 320 · see citing works
Cold hibernated elastic memory foams for endovascular interventions
Metcalfe, A., Desfaits, A.-C., Salazkin, I., Yahia, L., Sokolowski, W. M., & Raymond, J. (2003) · Biomaterials · doi:10.1016/s0142-9612(02)00362-9 · Cited by 307 · see citing works
Effects of nanotube waviness on the modulus of nanotube-reinforced polymers
Fisher, F. T., Bradshaw, R. D., & Brinson, L. C. (2002) · Applied Physics Letters · doi:10.1063/1.1487900 · Cited by 303 · see citing works
Hydrogen Bonding Interaction of Poly( d , l -Lactide)/hydroxyapatite Nanocomposites
Zhou, S., Zheng, X., Yu, X., Wang, J., Weng, J., Li, X., Feng, B., & Yin, M. (2006) · Chemistry of Materials · doi:10.1021/cm0619398 · Cited by 292 · see citing works
Self-citationThermomechanics of shape memory polymer nanocomposites
Liu, Y., Gall, K., Dunn, M. L., & McCluskey, P. (2004) · Mechanics of Materials · doi:10.1016/j.mechmat.2003.08.012 · Cited by 283 · see citing works
Zhang, J., Rana, S., Srivastava, R. S., & Misra, R. D. K. (2007) · Acta Biomaterialia · doi:10.1016/j.actbio.2007.06.006 · Cited by 282 · see citing works
Shape memory properties of poly(d,l-lactide)/hydroxyapatite composites
Zheng, X., Zhou, S., Li, X., & Weng, J. (2006) · Biomaterials · doi:10.1016/j.biomaterials.2006.03.043 · Cited by 230 · see citing works
Self-citationThermal, electrical and magnetic studies of magnetite filled polyurethane shape memory polymers
Razzaq, M. Y., Anhalt, M., Frormann, L., & Weidenfeller, B. (2007) · Materials Science and Engineering: A · doi:10.1016/j.msea.2006.08.083 · Cited by 225 · see citing works
Biodegradable stents with elastic memory
Venkatraman, S. S., Tan, L. P., Joso, J. F. D., Boey, Y. C. F., & Wang, X. (2005) · Biomaterials · doi:10.1016/j.biomaterials.2005.09.002 · Cited by 180 · see citing works
Synthesis and shape memory effects of Si–O–Si cross-linked hybrid polyurethanes
Xu, J., Shi, W., & Pang, W. (2005) · Polymer · doi:10.1016/j.polymer.2005.11.035 · Cited by 156 · see citing works
Ye, W. P., Du, F. S., Jin, W. H., Yang, J. Y., & Xu, Y. (1997) · Reactive and Functional Polymers · doi:10.1016/s1381-5148(96)00081-8 · Cited by 142 · see citing works
Shape‐memory effects of radiation crosslinked poly(ϵ‐caprolactone)
Zhu, G., Liang, G., Xu, Q., & Yu, Q. (2003) · Journal of Applied Polymer Science · doi:10.1002/app.12736 · Cited by 125 · see citing works
Muniyandy, S., Bhaskar, K., Maharajan, G., & Pillai, K. S. (2004) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2004.06.023 · Cited by 111 · see citing works
Shape memory and mechanical properties of cross-linked polyethylene/clay nanocomposites
Rezanejad, S., & Kokabi, M. (2007) · European Polymer Journal · doi:10.1016/j.eurpolymj.2007.04.031 · Cited by 107 · see citing works
Shape memory behaviour of radiation-crosslinked PCL/PMVS blends
Zhu, G., Xu, S., Wang, J., & Zhang, L. (2005) · Radiation Physics and Chemistry · doi:10.1016/j.radphyschem.2005.10.004 · Cited by 76 · see citing works
Direct-current conductivity of poly(ethylene terephthalate)
Sacher, E. (1970) · Journal of Macromolecular Science Part B · doi:10.1080/00222347008212513 · Cited by 43 · see citing works
Electrical properties of carbon-containing epoxy compositions under shape memory effect realization
Beloshenko, V. A., Varyukhin, V. N., & Voznyak, Y. V. (2004) · Composites Part A Applied Science and Manufacturing · doi:10.1016/j.compositesa.2004.06.028 · Cited by 27 · see citing works
Influence of cross-linking degree on shape memory effect of styrene copolymer
Zhang, D., Lan, X., Liu, Y., & Leng, J. (2007) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.715527 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [5]5. Yang B, Huang W and Li C 2004 Proc. 1st Int. Symp. of Nanotechnology (Singapore)
- [9]9. Mohr R, Kratz K, Weigel T, Lucka-Gabor M, Moneke M and Lendlein A 2006 Proc. Natl Acad. Sci. 103 3540
- [11]11. Buckley P R, McKinley G H, Wilson T S, Small W, Benett W J, Bearinger J P, McElfresh M W and Maitland D J 2006 IEEE Trans. Biomed. Eng. 10 2075
- [28]28. Zhang D W, Lan X, Liu Y J and Leng J S 2007 Proc. SPIE 6526 65262W
Cited by
Sorted by citations
Hu, J., Zhu, Y., Huang, H., & Lu, J. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.06.001 · Cited by 1,279 · 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 · see citing works
Wei, H., Zhang, Q., Yao, Y., Liu, L., Liu, Y., & Leng, J. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b12824 · Cited by 501 · see citing works
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
Thermally-induced two-way shape memory polymers: Mechanisms, structures, and applications
Zare, M., Prabhakaran, M. P., Parvin, N., & Ramakrishna, S. (2019) · Chemical Engineering Journal · doi:10.1016/j.cej.2019.05.167 · Cited by 330 · see citing works
4D printing of materials for the future: Opportunities and challenges
Joshi, S., Rawat, K., Karunakaran, C., Rajamohan, V., Mathew, A. T., Koziol, K. K., Thakur, V. K., & Balan, A. S. S. (2019) · Applied Materials Today · doi:10.1016/j.apmt.2019.100490 · Cited by 293 · see citing works
Trends in polymeric shape memory hydrogels and hydrogel actuators
Shang, J., Le, X., Zhang, J., Chen, T., & Théato, P. (2019) · Polymer Chemistry · doi:10.1039/c8py01286e · Cited by 240 · see citing works
Liu, Y., Li, Y., Yang, G., Zheng, X., & Zhou, S. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/am5081056 · Cited by 214 · see citing works
Self-citationChen, J.-K., & Chang, C.-J. (2014) · Materials · doi:10.3390/ma7020805 · Cited by 193 · see citing works
Liu, X., Zhao, K., Gong, T., Song, J. H., Bao, C., Luo, E., Weng, J., & Zhou, S. (2014) · Biomacromolecules · doi:10.1021/bm401911p · Cited by 179 · see citing works
Self-citationHighly pH-sensitive polyurethane exhibiting shape memory and drug release
Chen, H., Li, Y., Liu, Y., Gong, T., Wang, L., & Zhou, S. (2014) · Polymer Chemistry · doi:10.1039/c4py00474d · Cited by 162 · see citing works
Self-citationXiao, Y., Zhou, S., Wang, L., & Gong, T. (2010) · ACS Applied Materials & Interfaces · doi:10.1021/am100692n · Cited by 153 · see citing works
Self-citationRemotely actuated shape memory effect of electrospun composite nanofibers
Gong, T., Li, W., Chen, H., Wang, L., Shao, S., & Zhou, S. (2012) · Acta Biomaterialia · doi:10.1016/j.actbio.2011.12.006 · Cited by 147 · see citing works
Self-citationShape-memory polymers with multiple transitions: complex actively moving polymers
Zhao, Q., Behl, M., & Lendlein, A. (2012) · Soft Matter · doi:10.1039/c2sm27077c · Cited by 141 · see citing works
Du, L., Xu, Z., Fan, C., Xiang, G., Yang, K., & Wang, Y. (2018) · Macromolecules · doi:10.1021/acs.macromol.7b02641 · Cited by 140 · see citing works
High Performance Shape Memory Epoxy/Carbon Nanotube Nanocomposites
Liu, Y., Zhao, J., Zhao, L., Li, W., Zhang, H., Yu, X., & Zhang, Z. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b08766 · Cited by 132 · see citing works
Self-citationReversible switching transitions of stimuli-responsive shape changing polymers
Meng, H., & Li, G. (2013) · Journal of Materials Chemistry A · doi:10.1039/c3ta10716g · Cited by 115 · see citing works
Water-induced shape-memory poly(d,l-lactide)/microcrystalline cellulose composites
Liu, Y., Li, Y., Chen, H., Yang, G., Zheng, X., & Zhou, S. (2014) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2014.01.031 · Cited by 103 · see citing works
Self-citationBiomimetic micro/nano structures for biomedical applications
Xiang, T., Hou, J., Xie, H. Q., Liu, X., Gong, T., & Zhou, S. (2020) · Nano Today · doi:10.1016/j.nantod.2020.100980 · Cited by 103 · see citing works
Self-citationLi, X., Liu, Y., & Leng, J. (2023) · Sustainable materials and technologies · doi:10.1016/j.susmat.2023.e00692 · Cited by 102 · see citing works
Carbon nanotube–polyurethane shape memory nanocomposites with low trigger temperature
Gu, S., Yan, B., Liu, L., & Ren, J. (2013) · European Polymer Journal · doi:10.1016/j.eurpolymj.2013.10.007 · Cited by 100 · see citing works
Microwave synthesis and actuation of shape memory polycaprolactone foams with high speed
Zhang, F., Zhou, T., Liu, Y., & Leng, J. (2015) · Scientific Reports · doi:10.1038/srep11152 · Cited by 97 · see citing works
Nanoscale Thermal Phenomena in the Vicinity of Magnetic Nanoparticles in Alternating Magnetic Fields
Chiu‐Lam, A., & Rinaldi, C. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201505256 · Cited by 93 · see citing works
Triple Shape Memory Effect of Star-Shaped Polyurethane
Yang, X., Wang, L., Wang, W., Chen, H., Yang, G., & Zhou, S. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am5001344 · Cited by 85 · see citing works
Self-citationChatterjee, T., Dey, P., Nando, G. B., & Naskar, K. (2015) · Polymer · doi:10.1016/j.polymer.2015.10.007 · Cited by 85 · see citing works
Thermally activated reversible shape switch of polymer particles
Gong, T., Zhao, K. Y., Wang, W., Chen, H., Wang, L., & Zhou, S. (2014) · Journal of Materials Chemistry B · doi:10.1039/c4tb01155d · Cited by 83 · see citing works
Self-citationPhotoinduced triple shape memory polyurethane enabled by doping with azobenzene and GO
Zhou, L., Liu, Q., Lv, X., Gao, L., Fang, S., & Yu, H. (2016) · Journal of Materials Chemistry C · doi:10.1039/c6tc03556f · Cited by 82 · see citing works
Shape‐Memory Nanocomposites with Magnetically Adjustable Apparent Switching Temperatures
Kumar, U. N., Kratz, K. L., Heuchel, M., Behl, M., & Lendlein, A. (2011) · Advanced Materials · doi:10.1002/adma.201102251 · Cited by 80 · see citing works
Cai, Y., Jiang, J., Zheng, B., & Xie, M. (2013) · Journal of Applied Polymer Science · doi:10.1002/app.36849 · Cited by 81 · see citing works
Selectively actuated multi-shape memory effect of a polymer multicomposite
Li, W., Liu, Y., & Leng, J. (2015) · Journal of Materials Chemistry A · doi:10.1039/c5ta08513f · Cited by 78 · see citing works
Sezer, A. D. (2016) · InTech eBooks · doi:10.5772/60475 · Cited by 77 · see citing works
In situobservation of cluster formation during nanoparticle solution casting on a colloidal film
Roth, S. V., Herzog, G., Körstgens, V., Buffet, A., Schwartzkopf, M., Perlich, J., Kashem, M. M. A., Döhrmann, R., Gehrke, R., Rothkirch, A., et al. (2011) · Journal of Physics Condensed Matter · doi:10.1088/0953-8984/23/25/254208 · Cited by 75 · see citing works
The Control of Mesenchymal Stem Cell Differentiation Using Dynamically Tunable Surface Microgrooves
Gong, T., Zhao, K., Yang, G., Li, J., Chen, H., Chen, Y., & Zhou, S. (2014) · Advanced Healthcare Materials · doi:10.1002/adhm.201300692 · Cited by 73 · see citing works
Self-citationChen, H., Li, Y., Tao, G., Wang, L., & Zhou, S. (2016) · Polymer Chemistry · doi:10.1039/c6py01302c · Cited by 73 · see citing works
Self-citationLi, W., Liu, Y., & Leng, J. (2014) · RSC Adv. · doi:10.1039/c4ra10716k · Cited by 71 · see citing works
Microwave-induced shape-memory effect of silicon carbide/poly(vinyl alcohol) composite
Du, H., Song, Z., Wang, J., Liang, Z., Shen, Y., & You, F. (2015) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2015.01.012 · Cited by 67 · see citing works
Narendra Kumar, U., Kratz, K., Behl, M., & Lendlein, A. (2012) · Express Polymer Letters · doi:10.3144/expresspolymlett.2012.4 · Cited by 67 · see citing works
A review on progress in magnetic, microwave, ultrasonic responsive Shape-memory polymer composites
Namathoti, S., Ravindra kumar, V. M., & Rama Sreekanth, P. S. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.11.151 · Cited by 66 · see citing works
Dual responsive shape memory polymer/clay nanocomposites
Feng, X., Zhang, G., Zhuo, S., Jiang, H., Shi, J., Li, F., & Li, H. (2016) · Composites Science and Technology · doi:10.1016/j.compscitech.2016.04.008 · Cited by 63 · see citing works
Programmable and Shape-Memorizing Information Carriers
Li, W., Liu, Y., & Leng, J. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b13284 · Cited by 58 · see citing works
Review of Magnetic Shape Memory Polymers and Magnetic Soft Materials
van Vilsteren, S. J. M., Yarmand, H., & Ghodrat, S. (2021) · Magnetochemistry · doi:10.3390/magnetochemistry7090123 · Cited by 57 · see citing works
Memory-effects of magnetic nanocomposites
Razzaq, M. Y., Behl, M., & Lendlein, A. (2012) · Nanoscale · doi:10.1039/c2nr31332d · Cited by 59 · see citing works
Shape/temperature memory phenomena in un-crosslinked poly-ɛ-caprolactone (PCL)
Salvekar, A. V., Zhou, Y., Huang, W., Wong, Y. S., Venkatraman, S. S., Shen, Z., Zhu, G., & Cui, H. P. (2015) · European Polymer Journal · doi:10.1016/j.eurpolymj.2015.09.027 · Cited by 57 · see citing works
Recent advances in dynamic covalent bond-based shape memory polymers
Peng, S., Sun, Y., Ma, C., Duan, G., Liu, Z., & Ma, C. (2022) · e-Polymers · doi:10.1515/epoly-2022-0032 · Cited by 55 · see citing works
Use of intermolecular hydrogen bonding to synthesize triple-shape memory supermolecular composites
Chen, H., Liu, Y., Gong, T., Wang, L., Zhao, K., & Zhou, S. (2013) · RSC Advances · doi:10.1039/c3ra00091e · Cited by 53 · see citing works
Self-citationAl‐Hussein, M., Schindler, M. W., Ruderer, M. A., Perlich, J., Schwartzkopf, M., Herzog, G., Heidmann, B., Buffet, A., Roth, S. V., & Müller‐Buschbaum, P. (2013) · Langmuir · doi:10.1021/la3048483 · Cited by 52 · see citing works
Biomedical applications of shape-memory polymers: how practically useful are they?
Wong, Y., Kong, J. F., Widjaja, L. K., & Venkatraman, S. S. (2014) · Science China Chemistry · doi:10.1007/s11426-013-5061-z · Cited by 49 · see citing works
Cai, Y. H., Jiang, J.-S., Liu, Z.-W., Zeng, Y. H., & Zhang, W. (2013) · Composites Part A Applied Science and Manufacturing · doi:10.1016/j.compositesa.2013.05.016 · Cited by 48 · see citing works
Nicharat, A., Shirole, A., Foster, E. J., & Weder, C. (2017) · Journal of Applied Polymer Science · doi:10.1002/app.45033 · Cited by 42 · see citing works
Xiao, Y. M., Zhou, S., Wang, L., Zheng, X., & Gong, T. (2010) · Composites Part B Engineering · doi:10.1016/j.compositesb.2010.07.001 · Cited by 42 · see citing works
Self-citationWang, W., Liu, D., Lu, L., Chen, H., Gong, T., Lv, J., & Zhou, S. (2016) · Journal of Materials Chemistry A · doi:10.1039/c6ta00930a · Cited by 40 · see citing works
Self-citationShape Memory Polyurethane Materials Containing Ferromagnetic Iron Oxide and Graphene Nanoplatelets
Urban, M., & Strankowski, M. (2017) · Materials · doi:10.3390/ma10091083 · Cited by 39 · see citing works
Tuning surface micropattern features using a shape memory functional polymer
Li, W., Gong, T., Chen, H., Wang, L., Li, J., & Zhou, S. (2013) · RSC Advances · doi:10.1039/c3ra41217b · Cited by 37 · see citing works
Self-citationGu, S., Jin, S., Gao, X.-F., & Mu, J. (2016) · Smart Materials and Structures · doi:10.1088/0964-1726/25/5/055036 · Cited by 35 · see citing works
Shape memory properties of electrospun nafion nanofibers
Zhang, F., Zhang, Z., Liu, Y., & Leng, J. (2014) · Fibers and Polymers · doi:10.1007/s12221-014-0534-z · Cited by 35 · see citing works
Design strategies for shape memory polymers
Luo, X., & Mather, P. T. (2012) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2012.10.006 · Cited by 30 · see citing works
Ahangari, A., Doostmohammadi, H., Baniassadi, M., Bodaghi, M., & Baghani, M. (2024) · European Polymer Journal · doi:10.1016/j.eurpolymj.2024.113495 · Cited by 32 · see citing works
Biodegradable shape memory nanocomposites with thermal and magnetic field responsiveness
Zhang, X., Lu, X., Wang, Z., Wang, J., & Sun, Z. (2013) · Journal of Biomaterials Science Polymer Edition · doi:10.1080/09205063.2012.735098 · Cited by 28 · see citing works
Moon, J., Choi, J., & Cho, M. (2016) · Polymer · doi:10.1016/j.polymer.2016.08.096 · Cited by 27 · see citing works
Radiation crosslinked Polyolefinic blends: exploring thermally tuned dual Shape Memory character
Chatterjee, T., Ismail, S. M. R. S., Padmanabhan, R., & Naskar, K. (2016) · Polymers for Advanced Technologies · doi:10.1002/pat.3968 · Cited by 25 · see citing works
Biodegradable magnetic‐sensitive shape memory poly(ɛ‐caprolactone)/ F e3 O 4 nanocomposites
Gao, Y., Zhu, G., Xu, S., Ma, T., & Nie, J. (2017) · Journal of Applied Polymer Science · doi:10.1002/app.45652 · Cited by 25 · see citing works
Li, Z., Hu, J., Ma, L., & Liu, H. (2019) · Journal of Applied Polymer Science · doi:10.1002/app.48756 · Cited by 23 · see citing works
Bayart, M., Charlon, S., & Soulestin, J. (2021) · Polymer · doi:10.1016/j.polymer.2021.123440 · Cited by 23 · see citing works
Strategy for Constructing Shape-Memory Dynamic Networks through Charge-Transfer Interactions
Liu, D., Nie, W., Wen, Z., Fan, C., Xiao, W., Li, B., Lin, X.-J., Yang, K., & Wang, Y. (2018) · ACS Macro Letters · doi:10.1021/acsmacrolett.8b00256 · Cited by 22 · see citing works
Shape memory polyurethane-ureas based on isophorone diisocyanate
Ji, F. L., Hu, J. L., & Han, J. (2011) · High Performance Polymers · doi:10.1177/0954008311398323 · Cited by 22 · see citing works
Magnetic nanocomposites based on hydrogenated epoxy resin
González, M. G., Martín-Fabiani, I., Baselga, J., & Pozuelo, J. (2011) · Materials Chemistry and Physics · doi:10.1016/j.matchemphys.2011.11.077 · Cited by 21 · see citing works
Gu, S., Jin, S., & Liu, L. (2015) · Journal of Polymer Research · doi:10.1007/s10965-015-0779-2 · Cited by 20 · see citing works
Smart Delivery Systems with Shape Memory and Self-Folding Polymers
Erkeçoglu, S., Sezer, A. D., & Bucak, Ş. (2016) · InTech eBooks · doi:10.5772/62199 · Cited by 20 · see citing works
Xu, S., Zhao, B., Adeel, M., & Zheng, S. (2019) · ACS Applied Polymer Materials · doi:10.1021/acsapm.8b00116 · Cited by 19 · see citing works
Kazemi, F., Sadeghi, G. M. M., & Kazemi, H. R. (2019) · European Polymer Journal · doi:10.1016/j.eurpolymj.2018.12.041 · Cited by 19 · see citing works
Zhang, X., Yang, Q., Liu, X., Shang, J., & Leng, J.-S. (2019) · Smart Materials and Structures · doi:10.1088/1361-665x/ab471c · Cited by 18 · see citing works
Gao, H. T., Xie, F., Liu, Y., & Leng, J. (2018) · Polymer Degradation and Stability · doi:10.1016/j.polymdegradstab.2018.09.014 · Cited by 17 · see citing works
Antony, G. J. M., Aruna, S. T., Jarali, C. S., & Raja, S. (2020) · Polymer Bulletin · doi:10.1007/s00289-020-03427-6 · Cited by 16 · see citing works
Kim, M., Kim, Y. B., & Chun, H. (2024) · Polymers for Advanced Technologies · doi:10.1002/pat.6257 · Cited by 13 · see citing works
Du, H., Ren, Z., & Xu, Y. (2018) · Iranian Polymer Journal · doi:10.1007/s13726-018-0638-1 · Cited by 14 · see citing works
Yao, Y., Hoang, P. T., & Liu, T. (2016) · Journal of Material Science and Technology · doi:10.1016/j.jmst.2016.05.017 · Cited by 14 · see citing works
Reconfigurable and NIR-responsive shape memory polymer containing bipheunit units and graphene
Yang, J., Gong, J., Tao, L., Tang, Z., Yang, Z., Cao, P., Wang, Q., Wang, T., Luo, H., & Zhang, Y. (2022) · Polymer Journal · doi:10.1038/s41428-021-00609-5 · Cited by 13 · see citing works
Coupling of nonlinear shape memory polymer cantilever dynamics with focused ultrasound field
Bhargava, A., & Shahab, S. (2019) · Smart Materials and Structures · doi:10.1088/1361-665x/ab0b71 · Cited by 12 · see citing works
Photo-thermal dual responsive shape memory MOF derived carbon/EVA composites with radar wave stealth
Liu, Q., Ruan, Y., Ling, Z., Du, J. H., & Qiu, J. H. (2025) · Carbon · doi:10.1016/j.carbon.2024.119976 · Cited by 12 · see citing works
Tiwari, N., & Shaikh, A. A. (2022) · Polymer-Plastics Technology and Materials · doi:10.1080/25740881.2022.2061864 · Cited by 12 · see citing works
Exploring heat induced shape memory behaviour of alpha olefinic blends having dual network structure
Chatterjee, T., Wießner, S., Bhardwaj, Y. K., & Naskar, K. (2019) · Materials Science and Engineering B · doi:10.1016/j.mseb.2019.01.015 · Cited by 12 · see citing works
Developing a beam formulation for semi-crystalline two-way shape memory polymers
Maleki-Bigdeli, M.-A., Baniassadi, M., Wang, K., & Baghani, M. (2020) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x20924837 · Cited by 12 · see citing works
Magnetic shape memory polymers: a state-of-the-art review
Ahari, M. F., & Mirsayar, M. M. (2025) · Smart Materials and Structures · doi:10.1088/1361-665x/add068 · Cited by 11 · see citing works
Performance optimization of shape memory epoxy polymers based on machine learning
Liu, B., Jin, K., Tao, J., Wang, H., He, D., & Li, H. (2021) · Polymers for Advanced Technologies · doi:10.1002/pat.5595 · Cited by 10 · see citing works
Liang, J., Duan, D.-R., Tang, C. Y., Tsui, C. P., & Chen, D.-Z. (2013) · Journal of Macromolecular Science Part B · doi:10.1080/00222348.2012.746572 · Cited by 10 · see citing works
Qi, X., & Wang, Y. (2019) · Advanced structured materials · doi:10.1007/978-981-13-8574-2_3 · Cited by 11 · see citing works
Zhang, X., Yang, Q., & Leng, J. (2020) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x20942581 · Cited by 10 · see citing works
Romero‐Araya, P., Cárdenas, V., Nenen, A., Martínez, G., Pavicic, F., Ehrenfeld, P., Sérandour, G., Covarrubias, C., Neira, M., Moreno‐Villoslada, I., et al. (2023) · Polymer · doi:10.1016/j.polymer.2023.126448 · Cited by 9 · see citing works
Tiwari, N., & Shaikh, A. A. (2021) · Curved and Layered Structures · doi:10.1515/cls-2021-0009 · Cited by 9 · see citing works
Biodegradable polyester platform for extrusion-based bioprinting
Hermanová, S., & Pumera, M. (2022) · Bioprinting · doi:10.1016/j.bprint.2022.e00198 · Cited by 8 · see citing works
Cantrell, J. T., & IFJU, P. G. (2015) · Experimental Mechanics · doi:10.1007/s11340-015-0035-z · Cited by 8 · see citing works
Preparation and characterisation of PCL shape-memory films via photo-crosslinking
Huang, M., Zhou, C. Y., Yi, L., Zhao, G., Dong, L., Shi, J., & Chen, J. (2021) · Plastics Rubber and Composites Macromolecular Engineering · doi:10.1080/14658011.2021.1949534 · Cited by 7 · see citing works
Kausar, A., & Siddiq, M. (2016) · Journal of Applied Polymer Science · doi:10.1002/app.43481 · Cited by 7 · see citing works
Gao, H. T., Huang, L., Lan, X., Liu, L., Liu, Y., & Leng, J. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2259938 · Cited by 7 · see citing works
Actuators Displaying Unidirectional Movement
Nandi, M., Maiti, B., & Díaz, D. D. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000214 · Cited by 7 · see citing works
Sahu, Y. K., Arjunan, T. V., Singh, S., & Vishwas, S. (2025) · Journal of Thermoplastic Composite Materials · doi:10.1177/08927057251377054 · Cited by 9 · see citing works
Zhu, C., Chen, L., Shen, Y., Wang, Y., & Liu, C. (2024) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2024.109395 · Cited by 6 · see citing works
Omosa, G. B., Mwema, F. M., Akinlabi, E. T., & Jen, T. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-15365-6 · Cited by 6 · see citing works
Chen, L., Yang, Q., Liu, G., Liu, Z., & Song, Q. (2023) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2023.120912 · Cited by 6 · see citing works
Bai, Y., Li, R., Yang, W., Jiang, N., Chen, H., Hu, P., Niu, K., Liu, Y., & Wei, Y. (2023) · ACS Applied Polymer Materials · doi:10.1021/acsapm.3c02302 · Cited by 6 · see citing works
- Authors
- Yu, X., Zhou, S., Zheng, X., Guo, T., Xiao, Y., & Song, B.
- Affiliations
- Southwest Jiaotong University (CN)
- Corresponding author
- Zhou, Shaobing
- Venue
- Nanotechnology
- Publisher
- IOP Publishing
- Published
- 2009-05-19
- Volume
- 20
- Issue
- 23
- Pages
- 235702
- ISSN
- 0957-4484 (ISSN-L)
- 1361-6528
- OpenAlex
- W1982556849
- Cited by
- 111
- References
- 30
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 10 · 2018: 4 · 2017: 6 · 2016: 16 · 2015: 10 · 2014: 10 · 2013: 8 · 2012: 7
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nanotechnology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (50773065)
- Ministry of Education of the People's Republic of China (NCET-07-0719, NCET-07)
- Program for New Century Excellent Talents in University
- Topics
- Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Hydrogels: synthesis, properties, applications
- Keywords
- shape memory polymers, polycaprolactone, Fe3O4 nanoparticles, magnetite, magnetic nanocomposites, biodegradable polymers, benzoyl peroxide, chemical coprecipitation, magnetic heating, shape recovery, polymer nanocomposites
- MeSH terms
- Benzoyl Peroxide, Biocompatible Materials, Biodegradation, Environmental, Particle Size, Polyesters, Polymers, Temperature, Time Factors, Ferrosoferric Oxide, Nanocomposites, Metal Nanoparticles, Electromagnetic Phenomena
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
