NIST Launches Free Textile Test Material to Enhance Recycling Technologies

    The National Institute of Standards and Technology (NIST) introduces RGTM 10279 to support U.S. textile recycling efforts. This initiative promotes the adoption of advanced sorting technologies, potentially reshaping procurement requirements in the industry.

    National Institute of Standards and Technology

    Key Signals

    • NIST offering free RGTM 10279 to boost textile recycling efforts
    • Laboratories invited to use RGTM for standardizing textile sorting methods
    • AI integration in textile sorting may become procurement standard

    "We’ve identified an industrywide measurement challenge. Standards like this RGTM help improve textile identification and sorting, which supports advances in AI-enabled sorting of textiles and U.S manufacturing and industry."

    Michelle Seitz, Researcher

    The National Institute of Standards and Technology (NIST) has unveiled a significant development for the U.S. textile industry: the release of the Research Grade Test Material (RGTM 10279). This initiative was made public on July 9, 2026, and aims to provide essential resources for laboratories and manufacturers involved in textile production. The RGTM 10279 consists of standardized fabric samples specifically designed to improve methods for fiber identification and sorting technologies.

    This launch comes at a pivotal time for the textile sector, with recent estimates indicating that approximately 56% of clothing and textiles are suitable for recycling or reuse, but a large portion fails to be reintegrated into the domestic supply chain. The primary challenge here lies in the inefficiency of current fabric sorting processes, which remain labor-intensive and susceptible to error. As demand for sustainable practices rises, NIST's initiative is essential not only for environmental considerations but also for enhancing operational efficiencies within the textile supply chain.

    With the introduction of RGTM 10279, NIST aims to bolster domestic textile recycling efforts and supply chain resilience by providing validated testing materials free of charge until September 2026. This initiative is particularly geared towards supporting advanced sorting methods, including the integration of artificial intelligence (AI) technologies. By encouraging the industry to test and validate these methods using RGTM 10279, NIST enhances standardization and comparability across various textile sorting laboratories.

    We’ve identified an industrywide measurement challenge,” stated researcher Michelle Seitz. “Standards like this RGTM help improve textile identification and sorting, which supports advances in AI-enabled sorting of textiles and U.S. manufacturing and industry.” The implications of this standardization are far-reaching, as it not only advances technological adoption but also positions the U.S. textile industry to capture more economic value from recycling efforts.

    Furthermore, the use and study of RGTM 10279 is not just limited to large manufacturers; every organization involved in the textile supply chain stands to benefit. By participating in the RGTM study, companies can align themselves with emerging standards that drive competitiveness in a rapidly evolving industry landscape. Stakeholders should take proactive steps to engage with NIST, considering the pilot study as an opportunity to enhance product quality, decrease waste, and ultimately strengthen supply chain reliability. Organizations interested in participating are encouraged to reach out directly via email to fibrils@nist.gov.

    In summary, the launch of RGTM 10279 by NIST represents a critical step forward in addressing challenges within the textile recycling process, which may influence future procurement requirements across the industry. This collaboration will likely lead to innovations that enhance product reliability and environmental sustainability, ultimately reshaping the picture of textile procurement moving forward.

    • NIST is distributing RGTM 10279 free of charge until September 2026.
    • Approximately 56% of clothing and textiles can be recycled, but many are not.
    • The textile industry currently relies heavily on labor-intensive sorting methods.
    • RGTM 10279 aims to support AI-enabled sorting technologies in textiles.
    • Organizations participating in the study align with emerging standards, enhancing competitiveness.
    • Contact fibrils@nist.gov to request participation and access to RGTM materials for testing.

    Agencies

    • National Institute of Standards and Technology