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Optical signatures as a diagnostic tool for tracking dynamics of sedimentary dissolved organic nitrogen, phosphorus, and sulfur in an anthropogenic bay

Zhe-Xuan Zhang, Chen Zhao, Zhao Liang Chen, Zekun Zhang, Yuanbi Yi, Penghui Li*, Ding He*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Tracing the anthropogenic fingerprint and potential nutrient release from sediments is crucial from ecological and economic perspectives, but the lack of effective and low-cost tracking techniques poses a significant challenge. Here, we investigate the optical properties and molecular composition of sedimentary dissolved organic matter (DOM) from surface sediments (n = 41) collected along the land-sea continuum of an industrialized and urbanized bay in China. We use optical techniques (UV–visible spectroscopy and Excitation–emission matrix fluorescence spectroscopy) and Fourier-transform ion cyclotron resonance mass spectrometry for sedimentary DOM characterization. Five fluorescent components (C1-C5) are validated by Parallel Factor analysis (PARAFAC), representing diverse sources and types of sedimentary DOM, including aromatic/terrestrial, microbial, anthropogenic, and protein-like substances. Molecular analysis further reveals 14,052 unique compounds. Distinct molecular characteristics are identified for sedimentary dissolved organic nitrogen (DON), phosphorus (DOP), and sulfur (DOS). Sedimentary DOP exhibits the highest saturation, DON the highest aromaticity, and DOS the highest molecular weight. Optical parameters (e.g. fluorescence index) correlate significantly with specific molecular formulas of sedimentary DON, DOP, and DOS, suggesting that optical signatures can serve as a diagnostic tool for exploring internal nutrient release and point source pollution in aquatic ecosystems. This linkage will allow for efficient large-scale monitoring of sedimentary heteroatomic compound cycling in aquatic systems using optical techniques with robust interpretations, which has significant implications for sustainable watershed management. © 2024 Elsevier B.V.
Original languageEnglish
Article number122508
JournalChemical Geology
Volume672
Online published20 Nov 2024
DOIs
Publication statusPublished - 20 Jan 2025
Externally publishedYes

Funding

We thank Piao Yao, Ming Ye, Yu Pang, and Run-Ze Xue for lab assistance. We also thank Zhenwei Yan, Ruanhong Cai, and Wenzhao Liang for helpful discussions. The work described in this paper was supported by National Key Research and Development Program of China (2023YFC3210200), National Natural Science Foundation of China (42222061), Shenzhen-Hong Kong-Macau Science and Technology Program (Category C) (SGDX20230821102400001), grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (AoE/P-601/23-N and 26300822), and the Center for Ocean Research in Hong Kong and Macau (CORE). CORE is a joint research center for ocean research between Laoshan Laboratory and HKUST.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Research Keywords

  • DOM
  • DON
  • DOP
  • DOS
  • EEMs
  • FT-ICR MS

RGC Funding Information

  • RGC-funded

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