State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Bluestar Lehigh Engineering Institute Co., Ltd., Lianyungang 222004, China.
Environ Int. 2024 Aug;190:108855. doi: 10.1016/j.envint.2024.108855. Epub 2024 Jun 28.
Facing the great threats to ecosystems and human health posed by the continuous release of chemicals into aquatic environments, effect-directed analysis (EDA) has emerged as a powerful tool for identifying causative toxicants. However, traditional EDA shows problems of low-coverage, labor-intensive and low-efficiency. Currently, a number of high-efficiency techniques have been integrated into EDA to improve toxicant identification. In this review, the latest progress and current limitations of high-efficiency EDA, comprising high-coverage effect evaluation, high-resolution fractionation, high-coverage chemical analysis, high-automation causative peak extraction and high-efficiency structure elucidation, are summarized. Specifically, high-resolution fractionation, high-automation data processing algorithms and in silico structure elucidation techniques have been well developed to enhance EDA. While high-coverage effect evaluation and chemical analysis should be further emphasized, especially omics tools and data-independent mass acquisition. For the application status in aquatic environments, high-efficiency EDA is widely applied in surface water and wastewater. Estrogenic, androgenic and aryl hydrocarbon receptor-mediated activities are the most concerning, with causative toxicants showing the typical structural features of steroids and benzenoids. A better understanding of the latest progress and application status of EDA would be beneficial to further advance in the field and greatly support aquatic environment monitoring.
面对化学物质不断释放到水生环境中对生态系统和人类健康造成的巨大威胁,定向效应分析(EDA)已成为识别有毒物质的有力工具。然而,传统的 EDA 存在覆盖范围低、劳动强度大、效率低等问题。目前,许多高效技术已被整合到 EDA 中,以提高毒物鉴定的效率。在这篇综述中,总结了高效 EDA 的最新进展和当前局限性,包括高覆盖效应评估、高分辨率分级、高覆盖化学分析、高自动化因果峰提取和高效结构解析。具体来说,高分辨率分级、高自动化数据处理算法和计算结构解析技术已经得到了很好的发展,以增强 EDA 的能力。而高覆盖效应评估和化学分析应该得到进一步的重视,特别是组学工具和数据非依赖性的质量获取。对于在水生环境中的应用现状,高效 EDA 已广泛应用于地表水和废水。雌激素、雄激素和芳香烃受体介导的活性是最受关注的,其有毒物质具有类固醇和苯类物质的典型结构特征。更好地了解 EDA 的最新进展和应用现状将有助于该领域的进一步发展,并为水生环境监测提供有力支持。