Scholarlink

<p>Environmental and human health applications of seaweeds (SWs) have received attention in recent years. However, previous reviews lack of covering SWs from cultivation to their various applications, along with the integration of artificial intelligence (AI). Thus, this review introduces SWs identification and aquaculture techniques, including onshore, nearshore, offshore, and integrated multi-trophic aquaculture (IMTA) to promote sustainable knowledge in SWs. Composition, properties, and applications are discussed to improve resource availability for various purposes (such as wound dressings, biofilms, and cosmetics). The development of AI (such as SWs classification and identification, nutrient determination, growth prediction, and ecological restoration) is discussed. Green (e.g., <i>Ulva</i>) and red SWs (e.g., <i>Gracilaria</i>) were widely reported in IMTA systems, achieving nitrogen and phosphorus removal rates of 74% and 72%, respectively. SWs extracts for animals and plants promoted the physiological functions (stress resistance, antioxidant, and metabolic activity). Genetic engineering shows potential in improving SWs traits. CRISPR technology exhibited a mutation efficiency of nearly 70% (<i>Ectocarpus</i> sp.). AI, based on computer vision and machine learning, is a useful technique that can provide profound insights for futuristic approaches. The safe transformation of SWs from potential value to practical applications also requires effective technologies to remove contaminants and establish relevant limit standards.</p> Graphical abstract <p></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

Multi-applications and Aquaculture of Seaweeds: Environmental Improvement, Health Benefit, and Sustainable Valorization with Integrated Artificial Intelligence

  • 期刊论文

  • 发表日期：

    2026年7月14日

查看全文
  • Shiqi Yin,
  • Monika Sharma,
  • Shaden H. Foudah,
  • Sedky H.A. Hassan,
  • Adel I. Alalawy,
  • Ahmed Abdullah Al Zahrani,
  • Yuanzhang Zheng,
  • Aman Khan,
  • El-Sayed Salama

摘要

Environmental and human health applications of seaweeds (SWs) have received attention in recent years. However, previous reviews lack of covering SWs from cultivation to their various applications, along with the integration of artificial intelligence (AI). Thus, this review introduces SWs identification and aquaculture techniques, including onshore, nearshore, offshore, and integrated multi-trophic aquaculture (IMTA) to promote sustainable knowledge in SWs. Composition, properties, and applications are discussed to improve resource availability for various purposes (such as wound dressings, biofilms, and cosmetics). The development of AI (such as SWs classification and identification, nutrient determination, growth prediction, and ecological restoration) is discussed. Green (e.g., Ulva) and red SWs (e.g., Gracilaria) were widely reported in IMTA systems, achieving nitrogen and phosphorus removal rates of 74% and 72%, respectively. SWs extracts for animals and plants promoted the physiological functions (stress resistance, antioxidant, and metabolic activity). Genetic engineering shows potential in improving SWs traits. CRISPR technology exhibited a mutation efficiency of nearly 70% (Ectocarpus sp.). AI, based on computer vision and machine learning, is a useful technique that can provide profound insights for futuristic approaches. The safe transformation of SWs from potential value to practical applications also requires effective technologies to remove contaminants and establish relevant limit standards.

Graphical abstract