Design, Set-up, and Proper Use of the Chemical Fume Hood

Live Webinar: Webinar Audio: You can dial the telephone numbers located on your webinar panel. Or listen in using your microphone or computer speakers. Welcome! Webinar Details • Presentation is roughly 1 hour • All phone lines are muted • If anyone has any questions during this webinar – please type them in your Questions Box located at the bottom of your webinar panel

In this webinar we present some examples of how the analytical profiling of crop protection chemicals can be made more comprehensive with the addition of mass detection to varied separation techniques.

In the wake of sobering statistics on human life losses in fires, the issue of fire resistance of building materials is getting more important and global.

Industry is currently facing a substantial challenge. There is an increasing need to develop chemical hazard data for both new and existing chemicals, while at the same time there are current and proposed regulatory mandates as well as ethical drivers to reduce, refine, and replace (the “3 R’s”) the use of animal test methods with alternative non-animal methodologies. This creates a challenge for innovators, formulators, and companies who strive to introduce a new chemical or fill data gaps on existing chemicals while adhering to the principles of the 3 R’s. In silico, or computational toxicology software offers an alternative method for predicting chemical hazards. Traditional Quantitative Structure Activity Relationship (QSAR) methodology employs simple analog identification and predicting hazard data from chemical analogs with known hazard data. This webinar will cover the UL Cheminformatics Tool Kit, a novel in silico approach combining big data with advanced machine learning incorporating data fusion. The approach integrates novel models called RASARs (Read-across Structure Activity Relationship) with data fusion techniques that extend this concept by considering all available property data on both the target and analogs rather than only the modeled hazard.