Literature DB >> 11712608

Predicting metal toxicity revisited: general properties vs. specific effects.

H T Wolterbeek1, T G Verburg.   

Abstract

The present paper addresses the prediction of metal toxicity by evaluation of the relationships between general metal properties and toxic effects. For this, metal toxicity data were taken from 30 literature data sets, which varied largely in exposure times, organisms, effects and effect levels. General metal properties were selected on basis of literature reviewing of basic metal property classifications: used were the electrochemical potential deltaE0; the ionization potential IP; the ratio between atomic radius and atomic weight AR/AW; and the electronegativity Xm. The results suggest that toxicity prediction may be performed on basis of these fixed metal properties without any adoption to specific organisms, without any division of metals into classes, or grouping of toxicity tests. The results further indicate that metal properties contribute to the observed effects in relative importances which depend on specific effects, effect levels, exposure times, selected organisms and ambient conditions. The discussion strongly suggests that prediction should be by interpolation rather than by extrapolation of calibrated toxicity data: the concept here is that unknown metal toxicities are predicted on basis of observed metal toxicities in calibration experiments. Considering the used metal properties, the calibration covers the largest number of metals by the simultanuous use of Ge(IV), Cs(I), Li(I), Mn(VII), Sc and Bi in toxicity studies. Based on the data from the 30 studies considered, metal toxicities could be ordered in a relative way. This ordering indicates that the natural abundance of metals or metal ions in the Earth's crust may be regarded as a general comparative measure of the metal toxicities. The problems encountered in toxicity interpretation and ordering of toxicities indicate that control of the solution acidity, the metal's solubility and the metal's oxidation state may be key problems to overcome in future metal ion toxicity studies.

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Year:  2001        PMID: 11712608     DOI: 10.1016/s0048-9697(01)00756-2

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Derivation of marine water quality criteria for metals based on a novel QICAR-SSD model.

Authors:  Cheng Chen; Yunsong Mu; Fengchang Wu; Ruiqing Zhang; Hailei Su; John P Giesy
Journal:  Environ Sci Pollut Res Int       Date:  2014-10-08       Impact factor: 4.223

2.  Chemical properties and toxicity of soils contaminated by mining activity.

Authors:  Baran Agnieszka; Czech Tomasz; Wieczorek Jerzy
Journal:  Ecotoxicology       Date:  2014-06-06       Impact factor: 2.823

3.  Cardiovascular outcomes and the physical and chemical properties of metal ions found in particulate matter air pollution: a QICAR study.

Authors:  Qingyu Meng; Jennifer Richmond-Bryant; Shou-En Lu; Barbara Buckley; William J Welsh; Eric A Whitsel; Adel Hanna; Karin B Yeatts; Joshua Warren; Amy H Herring; Aijun Xiu
Journal:  Environ Health Perspect       Date:  2013-03-05       Impact factor: 9.031

4.  Directly Predicting Water Quality Criteria from Physicochemical Properties of Transition Metals.

Authors:  Ying Wang; Fengchang Wu; Yunsong Mu; Eddy Y Zeng; Wei Meng; Xiaoli Zhao; John P Giesy; Chenglian Feng; Peifang Wang; Haiqing Liao; Cheng Chen
Journal:  Sci Rep       Date:  2016-03-03       Impact factor: 4.379

  4 in total

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