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<p>Industrial waste valorization offers a sustainable strategy for mitigating waste while advancing the development of high-performance materials. This study explores the upcycling of agro-industrial byproducts, namely textile waste cotton and coir pith, into CNCs and lignin, respectively, and utilizes them as reinforcements in a PAN matrix derived from waste acrylic fiber. The novelty of this study lies in optimizing the process parameters such as CNCs-to-lignin ratio, curing temperature, and curing time using the Box Behnken Design statistical model. It has also demonstrated its efficacy in correlating process variables with tensile strength, validated through experimental and theoretical analyses. Structural characterization using SEM, XRD, and FTIR elucidates the synergistic interactions between CNCs and lignin, revealing a 3D network of CNCs that significantly enhances the mechanical properties of the composite films. These enhanced PAN composites are promising for lightweight structural components, energy storage devices, and high-performance filtration membrane applications. The findings highlight an innovative approach to transforming industrial waste streams into advanced functional materials, providing an environmentally sustainable solution.</p>

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Statistical optimization and structure–property elucidation between CNCs/ lignin reinforcements in recycled acrylic fibers based PAN composites

  • 期刊论文

  • 发表日期：

    2025年10月14日

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  • Vishnu Prabha Muthusamy,
  • Vaideki Krishnakumar

摘要

Industrial waste valorization offers a sustainable strategy for mitigating waste while advancing the development of high-performance materials. This study explores the upcycling of agro-industrial byproducts, namely textile waste cotton and coir pith, into CNCs and lignin, respectively, and utilizes them as reinforcements in a PAN matrix derived from waste acrylic fiber. The novelty of this study lies in optimizing the process parameters such as CNCs-to-lignin ratio, curing temperature, and curing time using the Box Behnken Design statistical model. It has also demonstrated its efficacy in correlating process variables with tensile strength, validated through experimental and theoretical analyses. Structural characterization using SEM, XRD, and FTIR elucidates the synergistic interactions between CNCs and lignin, revealing a 3D network of CNCs that significantly enhances the mechanical properties of the composite films. These enhanced PAN composites are promising for lightweight structural components, energy storage devices, and high-performance filtration membrane applications. The findings highlight an innovative approach to transforming industrial waste streams into advanced functional materials, providing an environmentally sustainable solution.