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氨基酸氮稳定同位素分析在污染物生物累积研究中的应用:综述

Application of amino acids nitrogen stable isotopic analysis in bioaccumulation studies of pollutants: A review.

作者信息

Jiang Yiye, Zeng Yanhong, Lu Ruifeng, Zhang Yanting, Long Ling, Zheng Xiaobo, Luo Xiaojun, Mai Bixian

机构信息

State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China.

State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China.

出版信息

Sci Total Environ. 2023 Jun 25;879:163012. doi: 10.1016/j.scitotenv.2023.163012. Epub 2023 Mar 24.

Abstract

Accurately quantifying trophic positions (TP) to describe food web structure is an important element in studying pollutant bioaccumulation. In recent years, compound-specific nitrogen isotopic analysis of amino acids (AAs-N-CSIA) has been progressively applied as a potentially reliable tool for quantifying TP, facilitating a better understanding of pollutant food web transfer. Therefore, this review provides an overview of the analytical procedures, applications, and limitations of AAs-N-CSIA in pollutant (halogenated organic pollutants (HOPs) and heavy metals) bioaccumulation studies. We first summarize studies on the analytical techniques of AAs-N-CSIA, including derivatization, instrumental analysis, and data processing methods. The N-pivaloyl-i-propyl-amino acid ester method is a more suitable AAs derivatization method for quantifying TP. The AAs-N-CSIA application in pollutant bioaccumulation studies (e.g., Hg, MeHg, and HOPs) is discussed, and its application in conjunction with various techniques (e.g., spatial analysis, food source analysis, and compound tracking techniques, etc.) to research the influence of pollutant levels on organisms is summarized. Finally, the limitations of AAs-N-CSIA in pollutant bioaccumulation studies are discussed, including the use of single empirical values of β and TDF that result in large errors in TP quantification. The weighted β and the multi-TDF models are still challenging to solve for accurate TP quantification of omnivores; however, factors affecting the variation of β and TDF are unclear, especially the effect of pollutant bioaccumulation in organisms on internal AA metabolic processes.

摘要

准确量化营养级位置(TP)以描述食物网结构是研究污染物生物累积的一个重要因素。近年来,氨基酸的化合物特异性氮同位素分析(AAs-N-CSIA)已逐渐作为一种潜在可靠的工具用于量化TP,有助于更好地理解污染物在食物网中的转移。因此,本综述概述了AAs-N-CSIA在污染物(卤代有机污染物(HOPs)和重金属)生物累积研究中的分析程序、应用及局限性。我们首先总结了AAs-N-CSIA的分析技术研究,包括衍生化、仪器分析和数据处理方法。N-新戊酰基-i-丙基氨基酸酯法是一种更适合用于量化TP的AAs衍生化方法。讨论了AAs-N-CSIA在污染物生物累积研究(如汞、甲基汞和HOPs)中的应用,并总结了其与各种技术(如空间分析、食物来源分析和化合物追踪技术等)结合用于研究污染物水平对生物影响的应用情况。最后,讨论了AAs-N-CSIA在污染物生物累积研究中的局限性,包括使用单一的β和TDF经验值会导致TP量化出现较大误差。加权β和多TDF模型对于准确量化杂食动物的TP仍然具有挑战性;然而,影响β和TDF变化的因素尚不清楚,尤其是生物体中污染物生物累积对内部氨基酸代谢过程的影响。

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