The new field of science dealing with implementation of electronics to textiles in combination with informatics is known as e-textiles. This project proposal leads to knowledge transfer among partners in order to develop innovative e-textile products for interactive protective clothing and footwear using welding technologies by bringing experts from different countries, sectors and disciplines together to focus their effort in innovative e-textile product designs. Within this context, the project aims to develop novel e-textile structures including transmission lines, sensors, actuators, microprocessors, personalized algorithms, on-body computing and user feedbacks in order to make a breakthrough towards development of interactive protective clothing and footwear that able to monitor health, activity, position of the user in the environmental risky situations, the welding technologies will be mainly used in three concepts: I. Designing of transmission lines of e-textile structures; II. Integration of electronic elements (different sensors, actuators, microprocessors, data transmission and power supply systems) to textile structures; III. Design and development of whole e-textile system for protective clothing applications including interactive protective garments and shoes. Thus, project draws on strong transitions of textiles, electronics and informatics researches and is internationally acknowledged for its pioneering contributions to e-textile researches through the industry-academia cooperation. This will not only help to develop future generations of entrepreneurial researchers more capable of contributing effectively to the knowledge-based e-textile research area, within and between public and private sectors, but also add to the intersectorial and trans-national employability of these researchers as well as to the attraction of young people to a research career on textile/electronics areas.

"DiTECT will develop an integrated framework for real-time detection, assessment, and mitigation of biological, chemical and environmental contaminants throughout the food supply chain. Bringing together research, industrial and food authority partners representing the agro-food industry in the EU and China, DiTECT aspires to establish the foundation for future food safety monitoring platforms, through the development of a standards-based, modular, Big Data-enabled platform, capable of accurately predicting food safety parameters of a given food product based on data collected in real-time via cost-efficient sensors, at crop, grain storage, livestock and finally in the food supply, incorporating blockchain processes. DiTECT integrates multidisciplinary research teams from fields such as microbial and spectroscopic fingerprinting technologies; emerging ICT-based food tracing systems; signal analysis and data mining. Microbial profiling will be attained via conventional microbiological analyses in tandem with advanced molecular methods (e.g., NGS-based metagenomics), while spectroscopic profiling will be based on spectral data generated using appropriate rapid, non-invasive methods and sensor devices. DiTECT recognizes that current food-chains are lacking a complete snapshot view of food safety at the crop/livestock and finished product levels, and so foresees the development of a cloud-enabled storage system for all data corresponding to different insights of product-specific safety aspects, to be integrated into. The novel food safety services will be demonstrated in four (4) real-world Pilots with the active engagement of 21 EU and 13 CN partners, using real datasets to validate efficiency improvements. The carefully structured work plan embodies a “multi-actor” approach to prototype and validates a ready-for-take-up framework of significant exploitation potential for the agro-food industry."

ARMADILLO aims to equip Law Enforcement Authorities (LEAs) and more particularly, Police Authorities and Forensic Institutes, with a holistic, ground-breaking, easy-to-use, portable toolset that rapidly detects GHB concentrations in urine, saliva and beverages. To realize this, the project will focus on the design and development of in-situ GHB detection systems, integrating advanced optical spectroscopy and electrochemical techniques for precise GHB identification in the different matrices. Both optical and electrochemical detection techniques will be integrated to portable readers capable of quantitative GHB on-site determination. The optical spectroscopy techniques will explore surface-enhanced signal-based approaches (Raman and fluorescence) alongside paper strip methods, while electrochemical detection will combine a specialized fluidics module and NAD/NADH electrodes. In parallel, GHB-specific antibodies will be developed aiming to further enhance its detection selectivity and accuracy. The project will prioritize the enhanced collection and sharing of forensic evidence, emphasizing on forensics' data management and ensuring interoperability and harmonization across systems. By integrating data fusion mechanisms, it will provide reliable, safe, and court-proof forensic evidence, while also leveraging the potential of AI for refined Raman analysis. Concurrently, it will undertake a comprehensive risk assessment to bolster prevention strategies against drug-facilitated violence and assault, all while standardizing user interfaces and employing advanced visualization and reporting techniques. In order to avoid clinical trials and comply with the ethical considerations including the privacy and safety of any involved human subject, ARMADILLO will assess the accuracy, sensitivity and specificity of its sensing technologies using synthetic samples that simulate a wide range of GHB concentrations in urine and saliva samples.