Author
Philip S. Rainbow
Other affiliations: Queen Mary University of London, University of London
Bio: Philip S. Rainbow is an academic researcher from Natural History Museum. The author has contributed to research in topics: Trace metal & Cadmium. The author has an hindex of 60, co-authored 178 publications receiving 15121 citations. Previous affiliations of Philip S. Rainbow include Queen Mary University of London & University of London.
Topics: Trace metal, Cadmium, Zinc, Population, Bioaccumulation
Papers published on a yearly basis
Papers
More filters
TL;DR: The significance of accumulated metal concentrations is discussed in terms of the biological significance, including the attempted recognition of a high or low concentration, and of the applied use of aquatic invertebrates in biomonitoring programmes assessing geographical and temporal variation in trace metal bioavailabilities in aquatic systems.
1,025 citations
TL;DR: Information on metallothioneins in three important groups of aquatic invertebrates-the molluscs, crustaceans and annelid worms, and attempted to seek explanations for some of the apparent inconsistencies present in the dataset are collated.
992 citations
TL;DR: It is suggested that a biologically based conceptualization, the biodynamic model, provides the necessary unification for a key aspect in risk: metal bioaccumulation (internal exposure).
Abstract: Ecological risks from metal contaminants are difficult to document because responses differ among species, threats differ among metals, and environmental influences are complex. Unifying concepts are needed to better tie together such complexities. Here we suggest that a biologically based conceptualization, the biodynamic model, provides the necessary unification for a key aspect in risk: metal bioaccumulation (internal exposure). The model is mechanistically based, but empirically considers geochemical influences, biological differences, and differences among metals. Forecasts from the model agree closely with observations from nature, validating its basic assumptions. The biodynamic metal bioaccumulation model combines targeted, high-quality geochemical analyses from a site of interest with parametrization of key physiological constants for a species from that site. The physiological parameters include metal influx rates from water, influx rates from food, rate constants of loss, and growth rates (whe...
815 citations
TL;DR: It is not valid to compare absolute accumulated metal concentrations in biomonitors interspecifically, although interspecific comparisions of rank orders do allow cross correlations of relative bioavailabilities of heavy metals to different biomonitor at the same sites.
684 citations
Cited by
More filters
TL;DR: Various factors governing the bioavailability, bioaccumulation and biological effects of heavy metals in sediment-dominated estuaries are reviewed.
1,495 citations
TL;DR: The ecotoxicological literature shows that concentrations of Ag NPs below the current and future PECs, as low as just a few ng L(-1), can affect prokaryotes, invertebrates and fish indicating a significant potential, though poorly characterised, risk to the environment.
1,115 citations
TL;DR: Metal concentrations were highest in the liver, except for iron in the gill of Scomberesox sauris and lowest in the muscle of all the fish species, and the relationships between fish size and metal concentrations in the tissues were investigated by linear regression analysis.
1,087 citations
TL;DR: The significance of accumulated metal concentrations is discussed in terms of the biological significance, including the attempted recognition of a high or low concentration, and of the applied use of aquatic invertebrates in biomonitoring programmes assessing geographical and temporal variation in trace metal bioavailabilities in aquatic systems.
1,025 citations
TL;DR: Information on metallothioneins in three important groups of aquatic invertebrates-the molluscs, crustaceans and annelid worms, and attempted to seek explanations for some of the apparent inconsistencies present in the dataset are collated.
992 citations