ReviewNature protocols2026
Photocatalytic low-temperature defluorination of PTFE.
Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
13 authors.
Funding
Abstract
Polytetrafluoroethylene (PTFE) is widely used owing to its exceptional chemical and thermal stability; however, these same properties render it highly persistent in the environment, contributing to long-term fluorinated waste. Conventional degradation methods, such as pyrolysis above 500 °C or treatment with alkali metals, are energy-intensive and operationally demanding, highlighting the need for mild and practical defluorination strategies for sustainable fluoropolymer recycling. Here we report a visible-light-driven photocatalytic protocol for PTFE defluorination under mild conditions. The method uses carbazole-based photocatalysts (CBZ6 and KQGZ), readily prepared in two to three steps from commercial precursors, and proceeds in standard glassware under purple light-emitting diode irradiation. Finely divided PTFE powder (~1-μm particle size, 20-mg scale) is treated with a photocatalyst, base and sacrificial reductant, with dispersion maintained by intermittent sonication. Critical parameters influencing reactivity include photocatalyst identity and loading, dispersion efficiency, base purity and physical form, light source configuration, temperature control and irradiation time. The reaction yields soluble fluoride salts and a defluorinated amorphous carbon, along with carbon-derived oxyanions. Fluoride ions are quantified by
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.