Mu Haichao, Hou Xulin, Wu Zilan, Li Jiaojiao, Wang Wenwen, Lu Meiling, Liu Xing, Yao Ziwei
Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China.
School of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian 116034, China.
Environ Health (Wash). 2024 Jun 24;2(10):702-711. doi: 10.1021/envhealth.4c00042. eCollection 2024 Oct 18.
Environmental pollution from synthetic chemical mixtures has significant adverse impacts on marine ecosystems. However, identifying the main constituents of chemical mixtures that pose ecological threats is challenging due to the necessity of an integrated workflow for comprehensive identification and toxicological prioritization of pollutants. Here, an all-in-one mass spectrometric strategy integrating target, suspect, and nontarget analysis was used to investigate organic pollutants of concern in fishing port sediments, with 355 pollutants (32 from target analysis, 118 from suspect screening and 205 from nontarget analysis) identified in 11 categories. The chemical classes of polycyclic aromatic hydrocarbons (PAHs), pesticides, and intermediates were the extensively detected chemical classes. The ecological risks of absolutely quantified pollutants (i.e., 16 parent PAHs, 7 organophosphate esters (OPEs), 10 pesticides and 4 benzotriazole ultraviolet absorbers) were assessed using toxicity-weighted concentration ranking, with o,p'-DDT being the major contributor. Under the toxicological priority index (ToxPi) framework, an extended ranking of all identified pollutants was achieved by combining instrument response and detection frequency, with a priority control list of 15 pollutants obtained, of which benzo[ghi]perylene (BghiP) and p,p'-DDE had the highest risk priority. Due to frequent detection rates and significant environmental risks, routine monitoring of petroleum pollutants is considered essential. This study presents a general workflow that includes comprehensive identification and prioritization of pollutants, facilitating chemical management and ecological risk assessment.
合成化学混合物造成的环境污染对海洋生态系统有重大不利影响。然而，由于需要一个综合工作流程来全面识别污染物并对其进行毒理学优先级排序，确定构成生态威胁的化学混合物的主要成分具有挑战性。在此，采用一种整合了目标分析、可疑物分析和非目标分析的一体化质谱策略，对渔港沉积物中关注的有机污染物进行研究，共识别出11类355种污染物（目标分析32种、可疑物筛查118种、非目标分析205种）。多环芳烃（PAHs）、农药及中间体的化学类别是检测到的主要化学类别。采用毒性加权浓度排序法对绝对定量污染物（即16种母体PAHs、7种有机磷酸酯（OPEs）、10种农药和4种苯并三唑紫外线吸收剂）的生态风险进行评估，其中o,p'-滴滴涕是主要贡献者。在毒理学优先级指数（ToxPi）框架下，结合仪器响应和检测频率对所有识别出的污染物进行扩展排序，得到了15种污染物的优先控制清单，其中苯并[ghi]苝（BghiP）和p,p'-滴滴伊的风险优先级最高。由于石油污染物的频繁检出率和重大环境风险，对其进行常规监测至关重要。本研究提出了一个包括污染物综合识别和优先级排序的通用工作流程，有助于化学品管理和生态风险评估。
