Deliverables
TeChBioT delivered standardized protocols, modular sensing technologies and AI-integrated operational frameworks validated under laboratory and field conditions.
Standardization & Protocol Development
Sampling Protocols
Defines standardized sampling procedures for gaseous, liquid, and solid matrices. Includes methodologies for volatile CWA detection via IMS/GC-IMS and biological sample preparation for pyrolysis-based analysis.
Data Collection and Access Definitions
Establishes data structures, metadata standards, and calculation procedures (e.g., reduced ion mobility K₀). Provides framework for library construction and AI model development.
Indicators for Detecting Chemical and Biological Threats
Identifies analytical indicators for CWA and BWA detection, including retention time, drift time, inverse mobility features, and fragmentation markers used in AI-driven classification.
Development of Test Protocols
Definition of standardized procedures for sensitivity, response time, selectivity (humidity and interference effects), and matrix-based validation for chemical and biological detection.
Technology Development
Dual High-Temperature IMS (DUAL-HT-IMS)
Development of a miniaturized dual-polarity high-temperature ion mobility spectrometer operating ≥200 °C with resolving power ≥60 and pptV sensitivity.
High-Temperature Gas Chromatograph (HT-GC)
Design and construction of a compact, energy-efficient high-temperature GC module enabling rapid separation of volatile and semi-volatile compounds.
HT-GC Coupled with Dual HT-IMS
Integration of HT-GC and dual HT-IMS into a modular GC-IMS platform, demonstrating enhanced selectivity and improved handling of complex matrices.
Low-Cost Pyrolyzer Coupled with HT-GC and Dual HT-IMS
Development of a Curie-point-based pyrolysis unit for volatilization of non-volatile biological materials and low-volatility chemical agents, enabling Py-GC-IMS analysis.
AI & Software Framework
ML and DL Models for the Detection of CWA and BWA
Development and benchmarking of machine learning and deep learning models (SVM, XGBoost, CNNs, autoencoders) for classification of chemical and biological threats using GC-IMS, Py-GC-IMS, GC-MS, and MALDI-TOF data.
AI Model Integration and Software Framework
Implementation of AI pipelines into operational software environments, enabling automated alarm logic and real-time classification.
AI Framework Validation and Optimization
Evaluation of AI models under laboratory and outdoor validation conditions, including robustness analysis and domain adaptation.
Validation, Dissemination & Exploitation
Laboratory Validation and Benchmarking
Comprehensive benchmarking of TeChBioT prototypes against commercial GC-IMS, Py-GC-MS, and MALDI-TOF systems. Includes laboratory and outdoor validation campaigns.
Dissemination and Communication Plan
Strategy for communication, stakeholder engagement, and visibility of project outcomes.
Exploitation and Business Development Plan
Market analysis, SWOT assessment, and commercialization roadmap for HT-IMS, GC-IMS, Py-GC-IMS, and AI-enabled detection systems.