Our approach to conducting environmental toxicology studies is multifaceted, employing a range of methodologies to comprehensively assess the potential impacts of pollutants on various environmental compartments and biological systems. We prioritise rigorous experimental design, adhering to internationally recognised guidelines and best practices to ensure the reliability and reproducibility of our findings. This involve carefully selecting appropriate test organisms, exposure scenarios, and analytical techniques tailored to the specific research question and the nature of the suspected contaminants.

A key aspect of our studies involves controlled laboratory experiments designed to elucidate dose-response relationships and identify mechanisms of toxicity. These in vivo and in vitro investigations utilise a variety of model organisms, representing different trophic levels and ecological roles, to evaluate the effects of single substances and complex mixtures. We employ state-of-the-art analytical instrumentation to accurately quantify contaminant concentrations in exposure media and biological tissues, and utilise a suite of toxicological endpoints, ranging from molecular and cellular biomarkers to organism-level effects such as growth, reproduction, and behaviour. Furthermore, we integrate omics approaches (e.g., genomics, transcriptomics, proteomics, metabolomics) to gain deeper insights into the biological pathways affected by toxicant exposure.

In addition to controlled laboratory studies, we also conduct field-based investigations to assess the ecological relevance of our laboratory findings and to evaluate the impacts of pollution in real-world scenarios. This involves sampling and analysis of environmental matrices (e.g., water, sediment, soil, air) and biota from contaminated sites, coupled with ecological surveys to assess community structure and ecosystem function. We utilise a weight-of-evidence approach, integrating data from laboratory experiments, field observations, and environmental monitoring to provide robust and ecologically relevant risk assessments. Statistical analyses and modelling are employed throughout our studies to identify significant effects, establish correlations, and predict potential long-term consequences of environmental contamination.