Wenzhao Liang , Penghui Li , Yifei Pan , Zhe-Xuan Zhang , Yuanbi Yi , Zhao Liang Chen , Chen Zhao , Ruanhong Cai , Zekun Zhang , Christian Lønborg , Jianping Gan , Ding He
{"title":"溶解有机物在促进沿海缺氧中的作用:确定关键分子和驱动因素","authors":"Wenzhao Liang , Penghui Li , Yifei Pan , Zhe-Xuan Zhang , Yuanbi Yi , Zhao Liang Chen , Chen Zhao , Ruanhong Cai , Zekun Zhang , Christian Lønborg , Jianping Gan , Ding He","doi":"10.1016/j.watres.2025.124210","DOIUrl":null,"url":null,"abstract":"<div><div>The escalating prevalence and impact of coastal hypoxia on global aquatic ecosystems necessitate a deeper understanding of the underlying mechanisms. However, the concept of oxygen-consuming organic matter (OxyC<img>OM) driving hypoxia formation remains unclear. Using the Pearl River Estuary as a case study, this study investigates whether particulate (POM) or dissolved organic matter (DOM) plays a larger role in oxygen depletion and hypoxia formation. We characterize and compare water-extractable organic matter (WE-OM, representing the labile POM fraction) with porewater DOM (PW-OM) from hypoxic and non-hypoxic zones using three-dimensional excitation-emission matrix fluorescence spectroscopy and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Both WE-OM and PW-OM shows comparable concentrations, but DOM has smaller size and lower humification indicating higher lability of DOM than WE-OM. Hence, DOM is suggested the primary form of OxyC<img>OM. The protein-like component (C3) was identified as a major constituent of OxyC<img>OM. Furthermore, we introduce a novel method using a DOM molecular database for source resolution with FT-ICR MS, revealing that OxyC<img>OM primarily originates from algal intracellular organic matter. We also propose an indirect role for OM degradation products in hypoxia formation, supported by photochemical and biological reactivity predictions of OxyC<img>OM derived from a machine learning approach.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"286 ","pages":"Article 124210"},"PeriodicalIF":12.4000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of dissolved organic matter in fuelling coastal hypoxia: Identifying key molecules and drivers\",\"authors\":\"Wenzhao Liang , Penghui Li , Yifei Pan , Zhe-Xuan Zhang , Yuanbi Yi , Zhao Liang Chen , Chen Zhao , Ruanhong Cai , Zekun Zhang , Christian Lønborg , Jianping Gan , Ding He\",\"doi\":\"10.1016/j.watres.2025.124210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The escalating prevalence and impact of coastal hypoxia on global aquatic ecosystems necessitate a deeper understanding of the underlying mechanisms. However, the concept of oxygen-consuming organic matter (OxyC<img>OM) driving hypoxia formation remains unclear. Using the Pearl River Estuary as a case study, this study investigates whether particulate (POM) or dissolved organic matter (DOM) plays a larger role in oxygen depletion and hypoxia formation. We characterize and compare water-extractable organic matter (WE-OM, representing the labile POM fraction) with porewater DOM (PW-OM) from hypoxic and non-hypoxic zones using three-dimensional excitation-emission matrix fluorescence spectroscopy and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Both WE-OM and PW-OM shows comparable concentrations, but DOM has smaller size and lower humification indicating higher lability of DOM than WE-OM. Hence, DOM is suggested the primary form of OxyC<img>OM. The protein-like component (C3) was identified as a major constituent of OxyC<img>OM. Furthermore, we introduce a novel method using a DOM molecular database for source resolution with FT-ICR MS, revealing that OxyC<img>OM primarily originates from algal intracellular organic matter. We also propose an indirect role for OM degradation products in hypoxia formation, supported by photochemical and biological reactivity predictions of OxyC<img>OM derived from a machine learning approach.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"286 \",\"pages\":\"Article 124210\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135425011170\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425011170","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
The role of dissolved organic matter in fuelling coastal hypoxia: Identifying key molecules and drivers
The escalating prevalence and impact of coastal hypoxia on global aquatic ecosystems necessitate a deeper understanding of the underlying mechanisms. However, the concept of oxygen-consuming organic matter (OxyCOM) driving hypoxia formation remains unclear. Using the Pearl River Estuary as a case study, this study investigates whether particulate (POM) or dissolved organic matter (DOM) plays a larger role in oxygen depletion and hypoxia formation. We characterize and compare water-extractable organic matter (WE-OM, representing the labile POM fraction) with porewater DOM (PW-OM) from hypoxic and non-hypoxic zones using three-dimensional excitation-emission matrix fluorescence spectroscopy and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Both WE-OM and PW-OM shows comparable concentrations, but DOM has smaller size and lower humification indicating higher lability of DOM than WE-OM. Hence, DOM is suggested the primary form of OxyCOM. The protein-like component (C3) was identified as a major constituent of OxyCOM. Furthermore, we introduce a novel method using a DOM molecular database for source resolution with FT-ICR MS, revealing that OxyCOM primarily originates from algal intracellular organic matter. We also propose an indirect role for OM degradation products in hypoxia formation, supported by photochemical and biological reactivity predictions of OxyCOM derived from a machine learning approach.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.