Conventional toxicity assays often suffer from low sensitivity, low throughput, and limited mechanistic resolution. The goal of this project is to develop New Approach Methodologies (NAMs)-based in vitro platforms that overcome these limitations. We develop and apply high-throughput reporter assays for rapid toxicant screening, hormone receptor-targeted reporter cell platforms supported by molecular docking, and zebrafish embryo-based AOP models for endocrine disruption research. Steroidogenesis is further assessed using an H295R-based model, while lipidomic and metabolomic profiling in Daphnia magna provides insight into underlying toxicity pathways. Across these platforms, multi-omics data, including transcriptomics, lipidomics, and metabolomics, are integrated within AOP frameworks to support mechanistic interpretation of toxicological outcomes.

Pant-derived substances exhibit diverse physiological activities that require systematic evaluation of both their pharmacological potential and toxicological risk. We assess the bioactivity and cytotoxicity of special crop-derived materials using cell-based viability assays and response surface modeling to identify optimal exposure conditions. High-throughput screening platforms are applied to correlate gene expression changes with downstream enzymatic activity, enabling rapid profiling of xenobiotic metabolism across large sample sets. In parallel, we investigate phytotoxicity mechanisms, characterizing the toxic response pathways that plants themselves undergo upon chemical exposure, to build a more complete picture of toxicity across biological systems.

Chemical safety and biological activity require multi-perspective evaluation beyond single-endpoint testing. The goal of this project is to systematically apply alternative toxicology models to assess chemical hazards and pharmacological effects. We integrate multi-omics data, including transcriptomics, metabolomics, and lipidomics, with adverse outcome pathway (AOP) frameworks to interpret toxicological and pharmacological outcomes across multiple biological levels.

Complex matrices, including plant-derived materials and environmental or industrial samples, contain thousands of unknown chemical substances, some of which are bioactive compounds of interest and others potential risks to human health. The goal of this project is to systematically identify and characterize both plant-derived bioactive compounds and chemical contaminants using high-resolution mass spectrometry (HRMS). We apply suspect and non-targeted screening workflows to profile chemical composition and elucidate structural identity across diverse sample types.