Abstract

Towards Large Scale Integrated, Multivariate “Lab-on-a-Disc” Sensors by a Virtual “Digital Twin” Approach

Jens Ducree, Principal Investigator, Dublin City University

Future decentralized bioanalytical testing, e.g., for applications in point-of-care and global diagnostics as well as ubiquitous monitoring of industries, infrastructures and the environment, will require full sample-to-answer automation and parallelization of bioassays on widely autonomous or user-friendly, robust and cost-efficient systems. Centrifugal microfluidic technologies have already demonstrated comprehensive, high-performance process integration of bioassay protocols for a wide range of scientific endeavours and commercial applications. Based on a digital twin approach, this presentation outlines a virtual “in silico” approach to optimize performance, integration density, reliability, configurability and manufacturability of these “Lab-on-a-Disc” (LoaD) devices, thus decisively minimizing cost, risk and time-to-market. These advancements provide an entry gate for developing mature commercial supply chains, foundry services, standardization, validation, and even enable rapidly emerging, participatory research models based on disruptive 21st technologies at the crossroads of Internet of Things (IoT), Artificial Intelligence (AI) and the distributed ledger technology Blockchain.