Effect doses for protection of human health predicted from physicochemical properties of metals/metalloids

  • Ying Wang
  • , Fengchang Wu*
  • , Yuedan Liu
  • , Yunsong Mu
  • , John P. Giesy
  • , Wei Meng
  • , Qing Hu
  • , Jing Liu
  • , Zhi Dang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Effect doses (EDs) of metals/metalloids, usually obtained from toxicological experiments are required for developing environmental quality criteria/standards for use in assessment of hazard or risks. However, because in vivo tests are time-consuming, costly and sometimes impossible to conduct, among more than 60 metals/metalloids, there are sufficient data for development of EDs for only approximately 25 metals/metalloids. Hence, it was deemed a challenge to derive EDs for additional metals by use of alternative methods. This study found significant relationships between EDs and physicochemical parameters for twenty-five metals/metalloids. Elements were divided into three classes and then three individual empirical models were developed based on the most relevant parameters for each class. These parameters included log-βn, ΔE0 and Xm2r, respectively (R2 = 0.988, 0.839, 0.871, P < 0.01). Those models can satisfactorily predict EDs for another 25 metals/metalloids. Here, these alternative models for deriving thresholds of toxicity that could be used to perform preliminarily, screen-level health assessments for metals are presented. The findings provide an alternative method for deriving thresholds of toxicity to protect human health and would support the establishment of water quality standards and risk assessment for metals/metalloids.

Original languageEnglish
Pages (from-to)458-466
Number of pages9
JournalEnvironmental Pollution
Volume232
DOIs
StatePublished - Jan 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Hazard
  • Human health
  • Prediction
  • Quantitative ion character-activity relationships (QICAR)
  • Toxic potency

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