Toxicology, while central to the goal of designing safer chemicals and enshrined in principles of the Green Chemistry, is in some respects the least developed of the green chemistry principles and the most difficult to quantify; this makes assessing chemical substitutions especially difficult when evaluating trade-offs, as is often the case when doing life-cycle analysis. In many instances, the hazards of a chemical are often only established after a chemical has been on the market for decades, and even then, the nature of the data often makes it difficult for regulatory agencies to act decisively and equally difficult for chemists to use the information to design away toxicity. Toxicology, therefore, needs to change from a reactive science which finds hazards slowly (and often with great expense) once products are on the market to a more proactive science. This would mean not only an improved ability to predict toxicity from structure, but also methodologies that can quickly establish hazards, and are able to identify hazards not only in an animal model in a laboratory, but identify hazards that result from the actual use-pattern of the chemical. This is critical as many chemicals, such as plasticizers, are often subject to a wide variety of environmental conditions and therefore create a variety of potential degradation products.
This will entail a new vision of toxicology that focuses on molecular mechanisms in vitro in place of black box animal models, uses interdisciplinary approaches, and has tools tointegration of disparate qualitative and quantitative data. Critically, it will also mean including better environmental surveillence of the chemicals we are exposed to and better exposure models, as well as data analysis methods suited for an "exposome" based approach for toxicology.