IMPLEMENTING INNOVATIVE METHODS FOR SAFETY AND SUSTAINABILITY ASSESSMENTS OF CHEMICALS AND MATERIALS PARTICULARLY AT NANO LEVEL IN THE EUROPEAN UNION

通过了《化学品可持续发展战略》，旨在应对生产和使用化学品以满足社会需求的挑战，同时尊重地球边界并保护人类和生态系统，方法是处理来自所有来源的污染(欧共体，2019或COM(2019)640最终，COM(2020)667最终，JRC报告)。通过开发/实施两个关键的R&I行动，将这一CS挑战付诸实施：1)战略研究与创新计划(SRIP)；2)安全和可持续设计(SSbD)框架。与Call Horizon-CL4-2023-Resilience-01-21的目标一致，并考虑到迫切需要开发新的方法或改进现有方法，以支持改进化学品的安全和可持续性评估，“在欧盟实施化学品和材料特别是纳米级别的安全和可持续性评估的创新方法(CheMatSustein)”项目将不仅从基本角度(通过DFT手段)研究量子效应，而且通过实验技术(高分辨率分析、XPS和UPS)识别和测量它们，并通过它们与环境的相互作用确定特定的分子识别，这是一种量子力学效应(体外、体外微流控、体内模型和蛋白质组学以及转录组学和方法)。获得的关于这些描述符的信息将被整合起来，用于开发用于预测先进材料的(ECO)毒性特性的新型计算机模型。最后，计算机模型预测结果将结合起来，开发一种新的方法，以补充使用风险评估和生命周期评价，以改进SSBD实施框架的标准。这项工作分为八个工作包，项目工期为48个月。

The Chemicals Strategy for Sustainability (CSS) has been adopted, which aims to tackle the challenge of producing and using chemicals to address societal needs while respecting the planetary boundaries and safeguarding people and ecosystems, by dealing with pollution from all sources (EC, 2019 or COM(2019)640final, COM(2020)667 final, JRC report). This CSS challenge gets operationalised through the development/implementation of two key R&I actions: 1) the Strategic Research and Innovation Plan (SRIP), and 2) the Safe and Sustainable by Design (SSbD) framework. Consistent with the aims of the Call HORIZON-CL4-2023- RESILIENCE-01-21 and bearing in the mind the pressing need to develop new methods or improve current ones, to support the improvement of safety and sustainability assessments of chemicals, the project “IMPLEMENTING INNOVATIVE METHODS FOR SAFETY AND SUSTAINABILITY ASSESSMENTS OF CHEMICALS AND MATERIALS PARTICULARLY AT NANO LEVEL IN THE EUROPEAN UNION (CheMatSustain)” will not only study the quantum effects from a fundamental point-of-view (by DFT means) but also by identifying and measuring them through experimental techniques (high-resolution analysis, XPS and UPS), and determining the specific molecular recognition through their interaction with the environment, which is a quantum mechanical effect (in vitro, microfluidic in-vitro, and in-vivo models and proteomics and transcriptomics and methods). The obtained information on these descriptors will then be integrated for the development of novel in silico models for prediction (eco)toxicity properties of advanced materials. Finally, in-silico model prediction results will be combined to develop a new methodology for the complementary use of Risk Assessment and LCA to improve criteria for the SSbD implementation framework. The work has been divided in eight work packages and the duration of the project is 48 months.