Shape Memory Polymeric Materials for Biomedical Applications: An Update

Rokaya, Dinesh; Skallevold, Hans Erling; Srimaneepong, Viritpon; Marya, Anand; Shah, Pravin Kumar; Khurshid, Zohaib; Zafar, Muhammad Sohail; Sapkota, Janak

doi:10.3390/jcs7010024

Cited by 19 publications

(6 citation statements)

References 108 publications

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“…Future trends in scaffold approaches show promising opportunities for tissue regeneration in the near future. Early explorations of using 4D materials in scaffold development [162] or gene-activated materials [163] or various advanced scaffolds for dentin-pulp complex regeneration and other innovative trends in regenerative dentistry [6,109,110,[164][165][166][167][168] suggest an incoming boom of this specialty.…”

Section: Future Of Scaffold Approachesmentioning

confidence: 99%

Evolving Strategies and Materials for Scaffold Development in Regenerative Dentistry

Gašparovič,

Jungová,

Tomášik

et al. 2024

Applied Sciences

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Regenerative dentistry has experienced remarkable advancement in recent years. The interdisciplinary discoveries in stem cell applications and scaffold design and fabrication, including novel techniques and biomaterials, have demonstrated immense potential in the field of tissue engineering and regenerative therapy. Scaffolds play a pivotal role in regenerative dentistry by facilitating tissue regeneration and restoring damaged or missing dental structures. These biocompatible and biomimetic structures serve as a temporary framework for cells to adhere, proliferate, and differentiate into functional tissues. This review provides a concise overview of the evolution of scaffold strategies in regenerative dentistry, along with a novel analysis (Bard v2.0 based on the Gemini neural network architecture) of the most commonly employed materials used for scaffold fabrication during the last 10 years. Additionally, it delves into bioprinting, stem cell colonization techniques and procedures, and outlines the prospects of regenerating a whole tooth in the future. Moreover, it discusses the optimal conditions for maximizing mesenchymal stem cell utilization and optimizing scaffold design and personalization through precise 3D bioprinting. This review highlights the recent advancements in scaffold development, particularly with the advent of 3D bioprinting technologies, and is based on a comprehensive literature search of the most influential recent publications in this field.

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Section: Future Of Scaffold Approachesmentioning

confidence: 99%

Evolving Strategies and Materials for Scaffold Development in Regenerative Dentistry

Gašparovič,

Jungová,

Tomášik

et al. 2024

Applied Sciences

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“…A possible evolution in the fabrication of advanced nanocomposite materials is in the AI control of the physical states of hybrid circuits (solid/liquid) for intelligent adaptive micro-robot implementations. Other important properties of intelligent materials are self-healing [67][68][69][70][71][72][73][74][75][76][77][78][79][80][81] (as in polymer composites based on graphene and carbon nanotubes (CNT) and PDMS) and the shape memory effect [82][83][84][85][86][87][88] (as in ferroic nanocomposites and nanocomposite hydrogels). AI data processing could be adopted to regenerate micro-and nano-electronic circuits and to enable shape auto-adaptive actions controlling external stimuli.…”

Section: (Ket Ii) Advanced Materialsmentioning

confidence: 99%

Intelligent Materials and Nanomaterials Improving Physical Properties and Control Oriented on Electronic Implementations

Massaro

2023

Electronics

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The review highlights possible research topics matching the experimental physics of matter with advances in electronics to improve the intelligent design and control of innovative smart materials. Specifically, following the European research guidelines of Key Enabling Technologies (KETs), I propose different topics suitable for project proposals and research, including advances in nanomaterials, nanocomposite materials, nanotechnology, and artificial intelligence (AI), with a focus on electronics implementation. The paper provides a new research framework addressing the study of AI driving electronic systems and design procedures to determine the physical properties of versatile materials and to control dynamically the material’s “self-reaction” when applying external stimuli. The proposed research framework allows one to ideate new circuital solutions to be integrated in intelligent embedded systems formed of materials, algorithms and circuits. The challenge of the review is to bring together different research concepts and topics regarding innovative materials to provide a research direction for possible AI applications. The discussed research topics are classified as Technology Readiness Levels (TRL) 1 and 2.

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“…[4][5][6][7][8][9][10] In the past decades, various SMPs have been developed and been investigated in biomedical or surgical devices, flexible electronics, smart adhesives, textiles, and so forth. [7,[11][12][13][14][15] Among these SMPs, shape memory polyimides (SMPIs) with adjustable glass transition temperatures (T g ) have attracted extensive attention and investigation because of their excellent mechanical properties, thermal and chemical stabilities, and shape memory performances. [6,7,[16][17][18][19] However, like common polyimides, SMPIs are electrically insulated, which limits their applications.…”

Section: Introductionmentioning

confidence: 99%

Interpenetrating shape memory polyimide‐polyaniline composites with electrical conductivity

Gao

2023

Polymer Composites

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Shape memory polyimides (SMPI) with adjustable shape recovery temperatures have been paid much attention in both fundamental research and practical applications. However, the intrinsically electrical insulation of SMPIs limits their applications. In this article, the electrically conductive shape memory polyimide‐polyaniline (SMPI‐PANI) composite with interpenetrating networks was synthesized by in situ polycondensation. Compared with pure SMPI, the electrical resistivity of SMPI‐PANI composites reduced by about 12 orders of magnitude when the PANI content was 15 wt%. The addition of PANI had less influence on the glass transition temperature and storage modulus in glassy state. But the storage modulus of SMPI‐PANI composites in rubbery state was over 40 times higher than that of pure SMPI, indicating that SMPI‐PANI composites have higher stiffness during shape recovery. The SMPI‐PANI composites demonstrate excellent shape memory performance with shape fixation ratio higher than 97% and shape recovery ratio higher than 93%. The SMPI‐PANI composites also have good thermal stability with the effective decomposition temperatures higher than 150°C. The SMPI‐PANI composite in our work is a potential material for deployable aerospace structure.

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Shape Memory Polymeric Materials for Biomedical Applications: An Update

Cited by 19 publications

References 108 publications

Evolving Strategies and Materials for Scaffold Development in Regenerative Dentistry

Evolving Strategies and Materials for Scaffold Development in Regenerative Dentistry

Intelligent Materials and Nanomaterials Improving Physical Properties and Control Oriented on Electronic Implementations

Interpenetrating shape memory polyimide‐polyaniline composites with electrical conductivity

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