利用生物活性化合物对食物垃圾流进行价值化:对过程、挑战和解决方案的全面综述

IF 4.8 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Rachan Karmakar , Sonal Aggarwal , Deepika Kathuria , Narpinder Singh , Vijay Tripathi , Pradeep Kumar Sharma , Debasis Mitra , Sunil Kumar , Sourish Bhattacharya
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引用次数: 0

摘要

食物浪费问题已成为一项重大的全球挑战,影响着世界各地的经济、环境和社会。食物浪费浪费了宝贵的资源,并大大增加了温室气体排放。然而,最近的研究强调了利用食物垃圾作为具有重大健康益处的生物活性化合物来源的潜力。这些化合物具有减轻疾病和促进健康的特性。食物浪费的多方面影响延伸到整个供应链,从生产和分销到消费者行为,在全球范围内造成重大经济损失。应对这一挑战需要全面的方法,包括提高公众意识、有效的供应链管理、创新的包装解决方案和负责任的消费实践。从食物垃圾中提取的许多产品包括柑橘纤维、果胶、多酚、抗氧化剂、番茄红素和香蕉皮面粉。从食物垃圾中提取的生物活性化合物为创造价值和环境可持续性提供了一条有希望的途径。人们已经探索了各种提取方法来有效地分离这些化合物,但由于它们的多样性,提出了挑战。价值增值战略,将废物转化为高价值产品,展示经济效益和环境优势。展望未来,人工智能(AI)和机器学习(ML)的整合将在从医疗保健到增强诊断和治疗策略的各个领域带来希望。TensorFlow和IBM Watson等工具通过实现实时优化和预测建模来提高产量,并简化食物生物过程,从而彻底改变了食物垃圾的价值。本研究通过详细介绍提取方法,解决挑战,并提出利用生物活性化合物的解决方案,全面研究了食物垃圾的增值。其新颖而全面的方法为将食物垃圾转化为可持续资源提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Valorization of food waste stream by harnessing bioactive compounds: A comprehensive review on the process, challenges and solutions
The issue of food waste has emerged as a critical global challenge, affecting economies, the environment, and societies worldwide. The food waste squanders valuable resources and significantly contributes to greenhouse gas emissions. However, recent studies have highlighted the potential of utilizing food waste as a source of bioactive compounds with significant health benefits. These compounds possess properties that could mitigate diseases and promote well-being. The multifaceted impact of food waste extends throughout the supply chain, from production and distribution to consumer behavior, resulting in substantial economic losses globally. Efforts to address this challenge require a comprehensive approach involving enhanced public awareness, efficient supply chain management, innovative packaging solutions, and responsible consumption practices. Many products from food waste include citrus fiber, pectin, polyphenols, antioxidants, lycopene, and banana peel flour. Bioactive compounds derived from food waste offer a promising avenue for value creation and environmental sustainability. Various extraction methods have been explored to isolate these compounds efficiently, presenting challenges due to their diverse nature. Valorization strategies, converting waste into high-value products, showcase economic benefits and environmental advantages. Looking ahead, the integration of artificial intelligence (AI) and machine learning (ML) holds promise across diverse fields, from healthcare to enhanced diagnostics and treatment strategies. Tools such as TensorFlow and IBM Watson are revolutionizing food waste valorization by enabling real-time optimization and predictive modeling enhancing yield, and streamlining food-bioprocesses. The present study comprehensively examines food waste valorization by detailing extraction methods, addressing challenges, and proposing solutions for harnessing bioactive compounds. Its novel and holistic approach offers valuable insights into transforming food waste into sustainable resources.
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来源期刊
Food Bioscience
Food Bioscience Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
6.40
自引率
5.80%
发文量
671
审稿时长
27 days
期刊介绍: Food Bioscience is a peer-reviewed journal that aims to provide a forum for recent developments in the field of bio-related food research. The journal focuses on both fundamental and applied research worldwide, with special attention to ethnic and cultural aspects of food bioresearch.
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