0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Sign in to save

FHERITALE - List of technology needs related to Micro and Nanoplastic research

Microplastics 2025
Maxime Vankoningsloo, Nathan Renier, Subhalakshmi Sharma, Gabriel Mustatea, Joris Van Loco

Summary

This dataset from the EU-funded FHERITALE project compiled and categorized technological needs and research gaps related to micro- and nanoplastic (MNP) detection and assessment across food, health, and environmental domains. Needs were identified from scientific publications, EU project reports, and regulatory agency documents and classified into eight thematic categories including analytical methods, standardization, and human health toxicology.

The current dataset was submitted as part of deliverable 5.2 of the FHERITALE project. The FHERITALE (Food, Health and Environment Research Infrastructures to Tackle Emerging Priorities) project (2024–2026) is an EU-funded initiative tackling the impact of synthetic materials on health, food, and the environment. This work aims to identify and structure technological needs and gaps in the recent scientific literature and reports on Micro and Nanoplastics (MNPs) in the context of food, health, and the environment. To gather the technology needs for MNP research, scientific publications from a systematic literature review [Murgioni E., et al.], reports from EU-funded projects, publications from the European Commission (EC), reports and documents from the Joint Research Centre (JRC), the European Environment Agency (EEA), the European Chemicals Agency (ECHA), the European Food Safety Authority (EFSA), and standards from the International Organisation for Standardisation (ISO) were reviewed using AI-supported extraction an classification tools (GPT4o [https://chatgpt.com/] and SciSpace [https://scispace.com/]), followed by a manual review of the results. Technological needs were subsequently categorised into thematic groups and sub-groups based on content and relevance. The dataset is structured with the following fields: Origin: Reference to the origin of the document (project, institution or paper) Title: Title of the document: Reference: DOI or other relevant identifier Category: The need is assigned to one of the following categories Analytical Methods & Detection Technologies Standardisation & Reference Materials Data & Digital Tools Exposure, Monitoring & Fate Ecotoxicology & Environment Human Health & Toxicology Regulation, Policy & Risk Assessment Circular Economy, Sustainability & Safe-by-Design Sub-category: The need is assigned to one sub-category within one category Need: Technological Need identified Domain: the need is assigned to one of the following domains within the scope of the FHERTITALE project: Food, Health, Environment or Cross-domain

Share this paper