Scholarlink

<p>Polylactic acid (PLA) is one of the most widely used biodegradable bioplastics; however, its slow degradation under natural conditions limits its environmental sustainability. This review summarizes recent advances in microbial and biotechnological strategies that enhance PLA biodegradation across diverse ecosystems. Emerging approaches include screening insect gut microbiota, isolating fungal species with strong adsorption or enzymatic capacities, and exploring soil, compost, and aquatic microbiomes using metagenomics and environmental DNA (eDNA) tools. Microbial consortia, thermophilic degraders, and co-culture systems are highlighted as effective solutions to overcome the intrinsic crystallinity and hydrolysis-dependent breakdown of PLA. Beyond natural systems, this review emphasizes the increasing role of synthetic biology, directed evolution, and artificial intelligence (AI) in engineering high-performance PLA-degrading enzymes. AI-driven structural prediction and machine-learning platforms offer new possibilities for designing robust depolymerases with improved specificity, thermostability, and catalytic efficiency. Collectively, these multidisciplinary strategies provide a roadmap for accelerating PLA degradation in industrial composting, wastewater treatment, and bioremediation. Future integration of ecological screening with computational enzyme engineering is expected to advance scalable and sustainable PLA waste management.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Next-generation strategies for PLA degradation: microbial consortia, metagenomics, enzyme engineering and AI-guided approaches

  • 期刊论文

  • 发表日期：

    2026年3月21日

查看全文
  • Avianto Rio Jonathan,
  • Vignesh Kumar Balasubramanian,
  • Shang-Tse Ho,
  • Yen‑Po Chen,
  • Pannida Khunnamwong,
  • Jui-Yu Chou

摘要

Polylactic acid (PLA) is one of the most widely used biodegradable bioplastics; however, its slow degradation under natural conditions limits its environmental sustainability. This review summarizes recent advances in microbial and biotechnological strategies that enhance PLA biodegradation across diverse ecosystems. Emerging approaches include screening insect gut microbiota, isolating fungal species with strong adsorption or enzymatic capacities, and exploring soil, compost, and aquatic microbiomes using metagenomics and environmental DNA (eDNA) tools. Microbial consortia, thermophilic degraders, and co-culture systems are highlighted as effective solutions to overcome the intrinsic crystallinity and hydrolysis-dependent breakdown of PLA. Beyond natural systems, this review emphasizes the increasing role of synthetic biology, directed evolution, and artificial intelligence (AI) in engineering high-performance PLA-degrading enzymes. AI-driven structural prediction and machine-learning platforms offer new possibilities for designing robust depolymerases with improved specificity, thermostability, and catalytic efficiency. Collectively, these multidisciplinary strategies provide a roadmap for accelerating PLA degradation in industrial composting, wastewater treatment, and bioremediation. Future integration of ecological screening with computational enzyme engineering is expected to advance scalable and sustainable PLA waste management.