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<p>The generation of fruit waste (FW) in large quantities across various forms presents a critical environmental and economic challenge. Its improper disposal contributes to environmental pollution, resource depletion, and financial loss, underscoring the need for sustainable and effective management strategies. This review highlights the limitations of conventional waste management approaches, such as incineration and landfilling, while outlining the potential of valorizing fruit residues (pomace, peel, and seeds) through the extraction of high-value bioactive compounds (BCs). These compounds, including antioxidants, prebiotics, polyphenols, dietary fibres, vitamins, and minerals, offer significant health-promoting properties. Furthermore, the review provides a comparative analysis of traditional and advanced (innovative) extraction techniques, unveiling how advanced techniques enhance the efficiency and quality of FW utilization. Finally, the role of artificial intelligence (AI) and machine learning (ML) in optimizing FW management and valorization processes is briefly explored, offering promising pathways for future innovation.</p>

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Comprehensive Review of Valorization Strategies for Fruit Waste Management: Integrating Traditional, Innovative, and AI ML-Driven Approaches

  • 期刊论文

  • 发表日期：

    2025年8月25日

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  • Naasrin Shaikh,
  • Lubna Shaik,
  • Babuskin Srinivasan

摘要

The generation of fruit waste (FW) in large quantities across various forms presents a critical environmental and economic challenge. Its improper disposal contributes to environmental pollution, resource depletion, and financial loss, underscoring the need for sustainable and effective management strategies. This review highlights the limitations of conventional waste management approaches, such as incineration and landfilling, while outlining the potential of valorizing fruit residues (pomace, peel, and seeds) through the extraction of high-value bioactive compounds (BCs). These compounds, including antioxidants, prebiotics, polyphenols, dietary fibres, vitamins, and minerals, offer significant health-promoting properties. Furthermore, the review provides a comparative analysis of traditional and advanced (innovative) extraction techniques, unveiling how advanced techniques enhance the efficiency and quality of FW utilization. Finally, the role of artificial intelligence (AI) and machine learning (ML) in optimizing FW management and valorization processes is briefly explored, offering promising pathways for future innovation.