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Green toxicology is an integral part of green chemistry. One of the key goals of green chemistry is to design less toxic chemicals. Therefore, an understanding of toxicology and hazard assessment is important for any chemist working in green chemistry, but toxicology is rarely part of most chemists' education. As a consequence, chemists lack the toxicological lens necessary to view chemicals in order to design safer substitutions. This book seeks to fill that gap and demonstrate how a basic understanding of toxicology, as well as the tools of in silico and in vitro toxicology, can be an…mehr
Green toxicology is an integral part of green chemistry. One of the key goals of green chemistry is to design less toxic chemicals. Therefore, an understanding of toxicology and hazard assessment is important for any chemist working in green chemistry, but toxicology is rarely part of most chemists' education. As a consequence, chemists lack the toxicological lens necessary to view chemicals in order to design safer substitutions. This book seeks to fill that gap and demonstrate how a basic understanding of toxicology, as well as the tools of in silico and in vitro toxicology, can be an integral part of green chemistry. R&D chemists, product stewards, and toxicologists who work in the field of sustainability, can all benefit from integrating green toxicology principles into their work.
Topics include in silico tools for hazard assessment, toxicity testing, and lifecycle considerations, this book aims to act as a bridge between green toxicologists and green chemists.
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Autorenporträt
Alexandra Maertens, Ph.D. is the head of the Green Toxicology, Read-Across and Big Data initiative at the Johns Hopkins Center for Alternatives to Animal Testing. Dr. Maertens has an extensive publication record on the use of high-content and high-throughput in vitro data, including transcriptomics and metabolomics, for establishing molecular mechanism of toxicity, as well as increasing regulatory acceptance of data-driven read-across approaches, and machine-learning approaches for predictive toxicology. Additionally, Dr Maertens is the Senior Toxicologist at the Consortium for Environmental Risk Management, where she developed a suite of models for screening level human health hazard assessments. Dr. Maertens also serves as part-time faculty at the Brandeis University School of Graduate and Professional Studies where she teaches Whole Genome Expression Analysis and Biomarker Discovery.
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