[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2515":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":69},2515,"Ultraviolet–C radiation for sustainable control of harmful algal blooms and aquatic weeds","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.15292","Aquatic ecosystems are increasingly threatened by invasive aquatic weeds and harmful algal blooms (HABs), driven by eutrophication, climate change and anthropogenic disturbances. These proliferations degrade water quality, disrupt ecosystem functioning, reduce biodiversity and cause major economic losses in fisheries and water management. Conventional control strategies, including chemical, mechanical and biological methods, often provide limited effectiveness and may generate secondary environmental impacts. Ultraviolet–C (UV-C) radiation has emerged as a promising non-chemical alternative for sustainable aquatic ecosystem management. This review evaluates the mechanisms underlying UV-C mediated control of aquatic weeds and HABs, including DNA photodamage, reactive oxygen species generation, photosynthetic inhibition and membrane disruption. This processes collectively suppress cellular growth and viability. Recent advances in UV-C technologies, such as UV-light-emitting diode (UV-LED) systems, mobile treatment platforms and advanced oxidation processes [UV\u002Fhydrogen peroxide (UV\u002FH₂O₂), UV\u002Fozone (UV\u002FO₃) and UV\u002Fperoxymonosulfate (UV\u002FPMS)], have enhanced treatment efficiency for algal suppression, cyanotoxin degradation and pollutant removal. Treatment efficiency is strongly dose-dependent, with higher UV-C fluence generally resulting in greater microbial inactivation, algal suppression and cyanotoxin degradation. The review further examines field applications, engineering considerations and the integration of UV-C with smart monitoring tools including artificial intelligence, remote sensing and autonomous systems for precision aquatic management. However, treatment efficacy remains strongly influenced by turbidity, dissolved organic matter, water depth and species-specific tolerance, while challenges related to energy demand, operational cost and ecological impacts on non-target organisms persist. Future research should focus on optimising low-energy and solar-assisted UV systems, improving reactor design and integrating UV-C into ecosystem-based management frameworks. Overall, UV-C radiation offers a versatile and environmentally compatible strategy for sustainable control of aquatic weeds and HABs.","水生生态系统日益受到入侵性水生杂草和有害藻华（HABs）的威胁，其驱动因素包括富营养化、气候变化和人为干扰。这些生物的过度繁殖导致水质恶化、生态系统功能紊乱、生物多样性下降，并在渔业和水资源管理方面造成重大经济损失。传统控制策略，包括化学、机械和生物方法，往往效果有限，且可能产生次生环境影响。紫外线-C（UV-C）辐射已成为一种有前景的非化学替代方案，可用于可持续水生生态系统管理。本文综述了UV-C介导控制水生杂草和有害藻华的机制，包括DNA光损伤、活性氧生成、光合作用抑制和膜破坏。这些过程共同抑制细胞生长和活力。UV-C技术的最新进展，如紫外发光二极管（UV-LED）系统、移动处理平台和高级氧化工艺[UV\u002F过氧化氢（UV\u002FH₂O₂）、UV\u002F臭氧（UV\u002FO₃）和UV\u002F过氧单硫酸盐（UV\u002FPMS）]，提高了藻类抑制、蓝藻毒素降解和污染物去除的处理效率。处理效率高度依赖于剂量，通常较高的UV-C辐照剂量会导致更强的微生物灭活、藻类抑制和蓝藻毒素降解。本文进一步探讨了现场应用、工程考量以及UV-C与智能监测工具（包括人工智能、遥感和自主系统）的集成，以实现精准水生管理。然而，处理效果仍受浊度、溶解性有机物、水深和物种特异性耐受性的强烈影响，同时与能源需求、运行成本和对非靶标生物的生态影响相关的挑战依然存在。未来研究应侧重于优化低能耗和太阳能辅助UV系统、改进反应器设计，并将UV-C纳入基于生态系统的管理框架。总体而言，UV-C辐射为可持续控制水生杂草和有害藻华提供了一种多功能且环境兼容的策略。",null,"Plant Science Today","2026-09-14T00:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,20,17,13,8,1,"系统综述UV-C技术在水华与水生杂草治理中的机理、装备与智能监测融合，方法新颖、结论可靠，对水产养殖与水域生态管理有参考价值，但偏基础研究、落地性有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"绿色防控","水产养殖","有害藻华","紫外消杀","智慧监测",0,"10.14719\u002Fpst.15292",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":60,"card":61,"direction":67,"ingested_from":68},"W7213202438",[37,40,43,46,49,52,55,57],{"name":38,"orcid":39},"C Venuaravind","https:\u002F\u002Forcid.org\u002F0009-0009-9480-9305",{"name":41,"orcid":42},"K Thirukumaran","https:\u002F\u002Forcid.org\u002F0000-0002-2302-9856",{"name":44,"orcid":45},"K. Ramasamy","https:\u002F\u002Forcid.org\u002F0000-0002-6786-5899",{"name":47,"orcid":48},"M Suganthy","https:\u002F\u002Forcid.org\u002F0000-0002-4203-7923",{"name":50,"orcid":51},"S. Vellaikumar","https:\u002F\u002Forcid.org\u002F0000-0001-9277-457X",{"name":53,"orcid":54},"M. Umapathi","https:\u002F\u002Forcid.org\u002F0000-0002-3402-1243",{"name":56,"orcid":9},"E Mahachandramuki",{"name":58,"orcid":59},"R. Parthiban","https:\u002F\u002Forcid.org\u002F0009-0005-8501-9089","https:\u002F\u002Fhorizonepublishing.com\u002Fjournals\u002Findex.php\u002FPST\u002Farticle\u002Fdownload\u002F15292\u002F16046",{"tldr":62,"method":63,"finding":64,"direction":65,"opportunity":66},"综述UV-C辐射可持续控制有害藻华与水生杂草的机制、技术及智能集成。","综述UV-C灭藻机制，涵盖UV-LED、移动平台及UV\u002FH₂O₂等高级氧化工艺。","UV-C效果呈剂量依赖，可抑制藻类并降解毒素，但受浊度与能耗限制。","农业绿色发展与碳","可探索低能耗太阳能UV系统与AI遥感融合的精准藻华防控，并评估非靶标生态风险。","智慧农业 \u002F 农业物联网","openalex","2026-09-15T23:30:08.846000Z"]