高山水环境中溶解有机物的分子特征描述方法:概述

Yongbao Zhang, Jianqing Du, Kang Xiao
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引用次数: 0

摘要

高寒地区因其独特的地理和气候条件,已成为全球气候变化和人类活动的敏感指标和放大器。作为生化循环的重要组成部分,溶解有机物(DOM)可有效帮助了解高山水生生态系统的过程、结构和功能。由于溶解有机物含量低、取样困难,高山水体中的溶解有机物分析要求灵敏度高、取样量少,目前尚未对此进行全面综述。本综述总结了 DOM 的取样、预处理和分析方法,涉及浓度、光谱和分子结构的表征。总体而言,常规参数是先进表征方法的基础。光谱测试可揭示 DOM 在紫外线到红外线波长的光照下的光学特性,以区分化学成分。分子结构表征可提供微观信息,如官能团、元素比例和分子量。多种方法的结合可以从多个角度描述 DOM 的组成。总之,优化取样和预处理、高灵敏度分子表征以及方法整合对于有效分析高山水域中的 DOM 成分至关重要。这些方法有助于规范 DOM 表征过程,了解 DOM 成分与其特性之间的相关性,以及 DOM 的迁移和转化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for molecular characterization of dissolved organic matter in the alpine water environment: an overview
The alpine area has become a sensitive indicator and amplifier of global climate change and human activities because of its unique geographical and climatic conditions. Being an essential part of biochemical cycling, dissolved organic matter (DOM) could effectively help understand the process, structure, and function of alpine aquatic ecosystems. Due to the low content and sampling difficulties, the analysis of DOM in alpine water demands high sensitivity with low sample volume, which has not been comprehensively reviewed. This review summarizes the DOM sampling, pretreatment, and analysis methods involving the characterization of concentration, spectroscopy, and molecular structure. Overall, conventional parameters are the basis of advanced characterization methods. Spectroscopic tests can reveal the optical properties of DOM in response to lights from ultraviolet to infrared wavelengths, to distinguish the chemical composition. Molecular structure characterizations can provide microscopic information such as functional groups, element ratios, and molecular weights. The combination of multiple methods can depict DOM composition from multiple perspectives. In sum, optimized sampling and pretreatment, high-sensitivity molecular characterization, and method integration are crucial for effectively analyzing DOM components in alpine waters. These perspectives help to standardize the DOM characterization process and to understand the correlation between DOM composition and its properties, as well as the migration and transformation of DOM.
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