Enabling you to identify and mitigate the intrinsic risk in your operations, supply chains and business processes.
Evaluating how your products and services meet and exceed quality, safety, sustainability and performance standards.
Validating the specifications, value and safety of your raw materials, products and assets.
Intertek’s Computational Predictive Toxicology Modeling services support the safety assessment of novel molecules in the absence of experimental safety data.
Computational Predictive Toxicology Modeling based on (Quantitative) Structure-Activity Relationships [(Q)SAR] and metabolic modeling have emerged as fundamental tools in the preliminary safety screening of novel molecules, such as plant extracts, fermentation products, or fungal secondary metabolites that are intended for use in food.
In the process of developing new molecules that are intended for use in food or in human sensory trials, such as ‘sip & spit’ and consumption studies, generating preliminary safety data for novel substances can be a costly and time-consuming process due to the large number of candidate substances.
Intertek’s chemical toxicology experts have extensive experience in using computational predictive toxicology modeling tools to screen novel substances for safety concerns. This is a valuable tool in streamlining the research and development process for novel ingredients by targeting those with safer molecular profiles.
Intertek offers the scientific expertise necessary to provide reliable advice on the predicted safety of novel substances.
Our Computational Predictive Toxicology Modeling Services include the following:
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