Yazar "Islami, Negar" seçeneğine göre listele

Listeleniyor 1 - 1 / 1
  • Küçük Resim Yok
    Öğe
    MOFs and MOF-Based Composites as Next-Generation Materials for Wound Healing and Dressings
    (Wiley-V C H Verlag Gmbh, 2024) Bigham, Ashkan; Islami, Negar; Khosravi, Arezoo; Zarepour, Atefeh; Iravani, Siavash; Zarrabi, Ali
    In recent years, there has been growing interest in developing innovative materials and therapeutic strategies to enhance wound healing outcomes, especially for chronic wounds and antimicrobial resistance. Metal-organic frameworks (MOFs) represent a promising class of materials for next-generation wound healing and dressings. Their high surface area, pore structures, stimuli-responsiveness, antibacterial properties, biocompatibility, and potential for combination therapies make them suitable for complex wound care challenges. MOF-based composites promote cell proliferation, angiogenesis, and matrix synthesis, acting as carriers for bioactive molecules and promoting tissue regeneration. They also have stimuli-responsivity, enabling photothermal therapies for skin cancer and infections. Herein, a critical analysis of the current state of research on MOFs and MOF-based composites for wound healing and dressings is provided, offering valuable insights into the potential applications, challenges, and future directions in this field. This literature review has targeted the multifunctionality nature of MOFs in wound-disease therapy and healing from different aspects and discussed the most recent advancements made in the field. In this context, the potential reader will find how the MOFs contributed to this field to yield more effective, functional, and innovative dressings and how they lead to the next generation of biomaterials for skin therapy and regeneration. Recent advancements pertaining to the applications of MOFs and their composites for wound healing and dressings are deliberated, with the purpose of identifying knowledge gaps, evaluating challenges, and guiding future directions in the field. image