Green Chemistry: A Framework for a Sustainable Future

[DDQM][HSO4]/TBHP as a Multifunctional Catalyst for the Metal Free Tandem Oxidative Synthesis of 2-Phenylquinazolin-4(3H)-ones

A bifunctional ionic liquid (IL) [DDQM][HSO4] has been designed and explored as a three-way catalyst for the synthesis of 2-phenylquinazolin-4(3H)-ones from anthranilamide and benzyl alcohol in 3.5 min incorporating microwave irradiation. Photochemically the reaction proceeds for 4 h at room temperature and thermally for 8 h at 120 °C. Further IL-assisted metal, solvent, and base free in situ oxidation of benzyl alcohols to aldehydes shows its task specificity. The multifunctionality of the IL was reestablished with the synthesis of two Wnt pathway antagonists.

Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency

Exposure science is evolving from its traditional "after the fact" and "one chemical at a time" approach to forecasting chemical exposures rapidly enough to keep pace with the constantly expanding landscape of chemicals and exposures. In this article, we provide an overview of the approaches, accomplishments, and plans for advancing computational exposure science within the U.S. Environmental Protection Agency's Office of Research and Development (EPA/ORD). First, to characterize the universe of chemicals in commerce and the environment, a carefully curated, web-accessible chemical resource has been created. This DSSTox database unambiguously identifies >1.2 million unique substances reflecting potential environmental and human exposures and includes computationally accessible links to each compound's corresponding data resources. Next, EPA is developing, applying, and evaluating predictive exposure models. These models increasingly rely on data, computational tools like quantitative structure activity relationship (QSAR) models, and machine learning/artificial intelligence to provide timely and efficient prediction of chemical exposure (and associated uncertainty) for thousands of chemicals at a time. Integral to this modeling effort, EPA is developing data resources across the exposure continuum that includes application of high-resolution mass spectrometry (HRMS) non-targeted analysis (NTA) methods providing measurement capability at scale with the number of chemicals in commerce. These research efforts are integrated and well-tailored to support population exposure assessment to prioritize chemicals for exposure as a critical input to risk management. In addition, the exposure forecasts will allow a wide variety of stakeholders to explore sustainable initiatives like green chemistry to achieve economic, social, and environmental prosperity and protection of future generations.

An emerging deep eutectic solvent based on halogen-bond

A new deep eutectic solvents (DES) driven by halogen-bond was exploited. A family of eutectic mixtures in liquid state were obtained by combination of quaternary ammonium salts and dihalogens. The...