HARMLESS Early Warning System for Advanced Materials

Abstract Advanced Materials (AdMa) play a crucial role for numerous strategies that address global challenges. They are being developed fast, making it increasingly challenging for regulation to keep pace with innovation. Existing frameworks, which are either not designed for AdMa or lack adequate filtering to identify AdMa of high concern, do not (yet) effectively support regulatory preparedness. The HARMLESS Early Warning System (EWS), in contrast, is a practically applicable tool for screening plenty of materials in a reasonable time. It is organized in two tiers, each underpinned by a specific methodology and facilitated by a dedicated online tool. The initial Tier 0 categorizes the materials using the Advanced Materials Earliest Assessment (AMEA) tool. Tier 1 first screens materials asking only 15 questions and is ideal for data‐poor materials at early innovation stages. These questions cover issues related to human/ environmental exposure and hazard, sustainability and applicability of existing regulations. In a more elaborated version, experimental testing based on New Approach Methodologies (NAMs) is suggested. As outcome, the user is provided with 1) material‐related concerns, 2) prioritization of AdMa and 3) recommendations for (regulatory) follow‐up actions. Data from two industrial case studies is presented to demonstrate the applicability of the HARMLESS EWS.

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Institutions

Publication Details

Journal
Advanced Sustainable Systems
Published
2025-05-19
DOI
https://doi.org/10.1002/adsu.202500217
Citations
2
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
3.77

Funders

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article

HARMLESS Early Warning System for Advanced Materials

Wendel Wohlleben, Véronique Adam, Susan Dekkers, Otmar Schmid et al.
2 citations
Advanced Sustainable Systems
Radiation Detection and Scintillator Technologies
3.77
article

HARMLESS Early Warning System for Advanced Materials

Wendel Wohlleben, Véronique Adam, Susan Dekkers, Otmar Schmid, Michael Persson, Veronica Di Battista, Eugene van Someren, Anders Baun, Johannes Prinz, Andrea Haase, Blanca Suárez-Merino, Gregor Nagel
article en
2 citations

Abstract

Abstract Advanced Materials (AdMa) play a crucial role for numerous strategies that address global challenges. They are being developed fast, making it increasingly challenging for regulation to keep pace with innovation. Existing frameworks, which are either not designed for AdMa or lack adequate filtering to identify AdMa of high concern, do not (yet) effectively support regulatory preparedness. The HARMLESS Early Warning System (EWS), in contrast, is a practically applicable tool for screening plenty of materials in a reasonable time. It is organized in two tiers, each underpinned by a specific methodology and facilitated by a dedicated online tool. The initial Tier 0 categorizes the materials using the Advanced Materials Earliest Assessment (AMEA) tool. Tier 1 first screens materials asking only 15 questions and is ideal for data‐poor materials at early innovation stages. These questions cover issues related to human/ environmental exposure and hazard, sustainability and applicability of existing regulations. In a more elaborated version, experimental testing based on New Approach Methodologies (NAMs) is suggested. As outcome, the user is provided with 1) material‐related concerns, 2) prioritization of AdMa and 3) recommendations for (regulatory) follow‐up actions. Data from two industrial case studies is presented to demonstrate the applicability of the HARMLESS EWS.

Advanced Sustainable SystemsVol. 9(8)
Federal Institute for Risk Assessment (DE), Technology and Management Services (Switzerland) (CH), German Center for Lung Research (DE), Chalmers Industriteknik, Chalmers University of Technology (SE), Freie Universität Berlin (DE), Robert Bosch (Germany) (DE), Technical University of Denmark (DK)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 8%
Radiation Detection and Scintillator Technologies
3.77
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