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基于分组靶标模型的计算机急性水生毒性评估和优先级排序:以二叠纪盆地水力压裂作业中报告的有机物质为例

In Silico Acute Aquatic Hazard Assessment and Prioritization Using a Grouped Target Site Model: A Case Study of Organic Substances Reported in Permian Basin Hydraulic Fracturing Operations.

机构信息

Department of Civil and Environmental Engineering, University of Delaware, Newark, Delaware, USA.

ExxonMobil Biomedical Sciences, Annandale, New Jersey, USA.

出版信息

Environ Toxicol Chem. 2024 May;43(5):1161-1172. doi: 10.1002/etc.5826. Epub 2024 Feb 28.

Abstract

Hydraulic fracturing (HF) is commonly used to enhance onshore recovery of oil and gas during production. This process involves the use of a variety of chemicals to support the physical extraction of oil and gas, maintain appropriate conditions downhole (e.g., redox conditions, pH), and limit microbial growth. The diversity of chemicals used in HF presents a significant challenge for risk assessment. The objective of the present study is to establish a transparent, reproducible procedure for estimating 5th percentile acute aquatic hazard concentrations (e.g., acute hazard concentration 5th percentiles [HC5s]) for these substances and validating against existing toxicity data. A simplified, grouped target site model (gTSM) was developed using a database (n = 1696) of diverse compounds with known mode of action (MoA) information. Statistical significance testing was employed to reduce model complexity by combining 11 discrete MoAs into three general hazard groups. The new model was trained and validated using an 80:20 allocation of the experimental database. The gTSM predicts toxicity using a combination of target site water partition coefficients and hazard group-based critical target site concentrations. Model performance was comparable to the original TSM using 40% fewer parameters. Model predictions were judged to be sufficiently reliable and the gTSM was further used to prioritize a subset of reported Permian Basin HF substances for risk evaluation. The gTSM was applied to predict hazard groups, species acute toxicity, and acute HC5s for 186 organic compounds (neutral and ionic). Toxicity predictions and acute HC5 estimates were validated against measured acute toxicity data compiled for HF substances. This case study supports the gTSM as an efficient, cost-effective computational tool for rapid aquatic hazard assessment of diverse organic chemicals. Environ Toxicol Chem 2024;43:1161-1172. © 2024 ExxonMobil Petroleum and Chemical BV. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

摘要

水力压裂(HF)通常用于提高生产过程中陆上油气的采收率。该过程涉及使用多种化学物质来支持油和气的物理提取,维持井下适当的条件(例如氧化还原条件、pH 值),并限制微生物的生长。HF 中使用的化学物质的多样性对风险评估提出了重大挑战。本研究的目的是建立一种透明、可重复的程序,用于估算这些物质的第五百分位急性水生危害浓度(例如,急性危害浓度第五百分位数 [HC5s]),并与现有毒性数据进行验证。使用具有已知作用模式(MoA)信息的多样化化合物数据库(n = 1696)开发了简化的分组靶位模型(gTSM)。采用统计显著性检验通过将 11 种离散 MoA 组合成三种一般危害组来简化模型的复杂性。使用实验数据库的 80:20 分配来训练和验证新模型。gTSM 使用靶位水分配系数和基于危害组的关键靶位浓度的组合来预测毒性。模型性能与使用 40%更少参数的原始 TSM 相当。模型预测被认为是足够可靠的,并且 gTSM 进一步用于为风险评估优先考虑报告的二叠纪盆地 HF 物质的子集。gTSM 用于预测危害组、物种急性毒性和 186 种有机化合物(中性和离子)的急性 HC5s。毒性预测和急性 HC5 估算值针对为 HF 物质汇编的实测急性毒性数据进行了验证。该案例研究支持 gTSM 作为一种高效、具有成本效益的计算工具,用于快速评估多样化有机化学品的水生危害。环境毒理学与化学 2024;43:1161-1172。©2024 埃克森美孚石油和化学公司。环境毒理学与化学由 Wiley Periodicals LLC 代表 SETAC 出版。

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