Suppr超能文献

隐患:超深渊海沟中高含量的有机污染物。

Hidden dangers: High levels of organic pollutants in hadal trenches.

作者信息

Xie Jingqian, Chen Chuchu, Luo Min, Peng Xiaotong, Lin Tian, Chen Duofu

机构信息

College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China.

College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China.

出版信息

Water Res. 2024 Mar 1;251:121126. doi: 10.1016/j.watres.2024.121126. Epub 2024 Jan 10.

Abstract

The "V"-shaped structure of hadal trenches acts as a natural collector of organic pollutants, drawing attention to the need for extensive research in these areas. Our review identifies significant concentrations of organic pollutants, including persistent organic pollutants, black carbon, antibiotic-resistant genes, and plastics, which often match those in industrialized regions. They may trace back to both human activities and natural sources, underscoring the trenches' critical role in ocean biogeochemical cycles. We highlight the complex lateral and vertical transport mechanisms within these zones. Advanced methodologies, including stable isotope analysis, biomarker identification, and chiral analysis within isotope-based mixing models, are crucial for discerning the origins and pathways of these pollutants. In forthcoming studies, we aim to explore advanced methods for precise pollutant tracing, develop predictive models to forecast the future distribution and impacts of pollutants in hadal zones and on the Earth's larger ecological systems.

摘要

超深渊海沟的“V”形结构充当了有机污染物的天然收集器,这凸显了在这些区域进行广泛研究的必要性。我们的综述发现了大量有机污染物,包括持久性有机污染物、黑碳、抗生素抗性基因和塑料,其浓度往往与工业化地区相当。它们可能追溯到人类活动和自然来源,这突出了海沟在海洋生物地球化学循环中的关键作用。我们强调了这些区域内复杂的横向和垂直传输机制。先进的方法,包括稳定同位素分析、生物标志物识别以及基于同位素混合模型的手性分析,对于识别这些污染物的来源和路径至关重要。在未来的研究中,我们旨在探索精确追踪污染物的先进方法,开发预测模型,以预测污染物在超深渊区域及地球更大生态系统中的未来分布和影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验