nQTb

Chemical safety of nanomaterials without animal testing

ABOUT THE PROJECT

nQTb is an innovative application that uses QSAR models and machine learning algorithms to predict the genotoxicity and mutagenicity of titanium oxide (TiO₂) and silicon (SiO₂) nanoforms. It enables fast, low-cost and EU- and OECD-regulated chemical safety assessments of advanced nanomaterials without the need for animal testing. With an intuitive interface, users can easily define nanoform parameters, select appropriate cell models and generate QPRF-compliant reports to support the substance registration process.

WHAT NEEDS DOES THE INNOVATION ADDRESS?

nQTb addresses the growing need for rapid, ethical and regulatory-compliant safety assessment of nanomaterials. Traditional tests are costly, time-consuming and rely on animal studies. nQTb enables virtual assessment of genotoxicity and mutagenicity of TiO₂ and SiO₂, eliminating the need for in vivo testing. It solves the problem of limited access to predictive tools for nanoforms and supports the digitization of the chemical registration process.

COMPETITIVE ADVANTAGES

nQTb addresses the growing need for rapid, ethical, and EU and OECD-regulated safety assessment of nanomaterials. Traditional methods are costly, time-consuming and require the use of animals for in vivo testing. As the first QSAR tool dedicated to TiO₂ and SiO₂ nanoforms, nQTb enables virtual genotoxicity and mutagenicity assessments with levels of prediction uncertainty. The application offers a simple, intuitive interface, does not require ML knowledge and generates QPRF-compliant reports, supporting the digital transformation of the chemical registration process.

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