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Unraveling heterogeneity of dissolved organic matter in highly connected natural water bodies at molecular level.
Chen, Guan-Lin; Qian, Chen; Gong, Bo; Du, Meng; Sun, Rui-Zhe; Chen, Jie-Jie; Yu, Han-Qing.
Afiliação
  • Chen GL; CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China.
  • Qian C; CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China. Electronic address: qianc@ustc.edu.cn.
  • Gong B; CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China.
  • Du M; CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China.
  • Sun RZ; School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China.
  • Chen JJ; CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China.
  • Yu HQ; CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China. Electronic address: hqyu@ustc.edu.cn.
Water Res ; 246: 120743, 2023 Nov 01.
Article em En | MEDLINE | ID: mdl-37857007
The exploring of molecular-level heterogeneity of dissolved organic matter (DOM) in highly connected water bodies is of great importance for pollution tracing and lake management, and provides new perspectives on the transformations and fate of DOM in aquatic systems. However, the inherent homogeneity of DOM in connected water bodies poses challenges for its heterogeneity analysis. In this work, an innovative method combining fluorescence spectroscopy, high-resolution mass spectrometry (HRMS), and cluster analysis was developed to reveal the heterogeneity of DOM in highly connected water bodies at the molecular level. We detected 4538 molecules across 36 sampling sites in Chaohu Lake using HRMS. Cluster analysis based on excitation-emission matrix (EEM) data effectively divided the sampling sites into four clusters, representing the water bodies from West Chaohu Lake, East Chaohu Lake, agricultural land, and urban areas. Analysis of DOM in the western and eastern parts of the lake revealed that aerobic degradation led to a decrease in CHOS and aliphatic compounds, alongside an increase in CHO and highly unsaturated and phenolic compounds. Furthermore, we unveiled the characteristics and sources of heterogeneity in DOM from agricultural land and urban areas. Our method accurately captured the heterogeneous distribution of DOM in the lake and revealed the heterogeneous composition of DOM at molecular level. This work underscores the importance of integrating complementary spectroscopic analyses with HRMS in DOM research with similar compositions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Matéria Orgânica Dissolvida / Substâncias Húmicas Idioma: En Revista: Water Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Matéria Orgânica Dissolvida / Substâncias Húmicas Idioma: En Revista: Water Res Ano de publicação: 2023 Tipo de documento: Article