Le Brun, GrégoireInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain (UCLouvain)
Author
Moumneh, RamyInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain (UCLouvain)
Author
Adant, IgnaceEarth and Life Institute, Université catholique de Louvain (UCLouvain)
Author
Raskin, Jean-PierreInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain (UCLouvain)
Author
Abstract
<jats:p>Single-use biosensors such as lateral flow assays (LFAs) have transformed point-of-care (PoC) diagnostics, yet their environmental footprint is rarely considered during design. As deployment scales globally, this oversight raises pressing sustainability concerns. Although early integration of eco-design principles could reduce environmental burdens, biosensor developers lack practical tools to operationalize sustainability during early-stage development. This practical review proposes a quantitative, multi-scale design methodology that bridges materials selection and system-level performance. We compile environmental indicators for materials commonly used in biosensors and conduct a PRISMA-based review of life-cycle assessments, revealing distinct orders of magnitude in carbon footprint across LFAs, instrumented devices, and PCR-based systems. Building on these findings, we introduce the Environmental Cost of Performance (ECoP), a simplified eco-design metric that links analytical sensitivity to environmental impact and reframes conventional performance-driven technology roadmaps into performance-impact trade-off approaches. This practical review is intended to serve as a quantitative toolbox, enabling scientists to integrate eco-design principles into their development practices and to arbitrate between design options using operational environmental metrics. In doing so, it represents a first step beyond generic sustainability claims, paving the way for broader impact assessments that integrate environmental, economic, and societal dimensions into PoC diagnostic innovation.</jats:p>
Le Brun, G., Moumneh, R., Adant, I., & Raskin, J.-P. (2026). The environmental footprint of point-of-care diagnostics: quantitative review and a practical eco-design metric. Frontiers in Lab on a Chip Technologies, 5. https://doi.org/10.3389/frlct.2026.1738893 (Original work published 2026)