Model-driven high-throughput zebrafish embryo assay for evaluating whole effluent toxicity variation across 100 full-scale wastewater treatment plants.

Journal: Water research
Published Date:

Abstract

The zebrafish embryo is a valuable model for evaluating whole effluent toxicity (WET). However, the widely recognized acute toxicity indicator, based on International Organization of Standardization (ISO) methods, requires large numbers of embryos and is often time-consuming due to its complex experimental procedures. In this study, we propose an alternative to the conventional reliance on ISO standards by developing a model-driven high-throughput assay that utilizes actual wastewater, enabling rapid LC (the lethal concentration at which 10 % of the test organisms are affected) prediction through machine learning techniques and multidimensional indicators derived from streamlined experimental procedures. We compared three streamlined toxicity assays-developmental toxicity, behavioral toxicity, and vascular toxicity-along with five different models. Among these, the Lasso model based on behavioral toxicity emerged as the most effective, achieving an R value of 0.893 while reducing experimental time by 5- to 8-fold. Furthermore, fivefold cross-validation confirmed its robust predictive accuracy. The application of this model-driven high-throughput assay across 100 wastewater treatment plants in China highlights the crucial role of biological treatment, particularly aerobic processes and secondary sedimentation, in reducing toxicity, thereby providing valuable insights into their functions. This high-throughput assay not only surpasses the ISO standard method in efficiency but also substantially decreases embryo usage, facilitating rapid WET assessments of actual wastewater with larger sample sizes.

Authors

  • Aixia Zhao
    State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China.
  • Hongwei Bai
    State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China.
  • Xingchen Bao
    State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China.
  • Kewei Liao
    State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China.
  • Hongqiang Ren
    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.
  • Haidong Hu
    State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, Jiangsu, PR China. Electronic address: hdhu@nju.edu.cn.