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A Generalized Method for High‐Speed Fluorination of Metal Oxides by Spark Plasma Sintering Yields Ta 3 O 7 F and TaO 2 F with High Photocatalytic Activity for Oxygen Evolution from Water
Author(s) -
Lange Martin Alexander,
Khan Ibrahim,
Opitz Phil,
Hartmann Jens,
Ashraf Muhammad,
Qurashi Ahsanulhaq,
Prädel Leon,
Panthöfer Martin,
Cossmer Antje,
Pfeifer Jens,
Simon Fabian,
von der Au Marcus,
Meermann Björn,
Mondeshki Mihail,
Tahir Muhammad Nawaz,
Tremel Wolfgang
Publication year - 2021
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.202007434
Subject(s) - spark plasma sintering , materials science , catalysis , sintering , tantalum , metal , plasma , chemical engineering , metallurgy , nanotechnology , nuclear chemistry , organic chemistry , chemistry , physics , engineering , quantum mechanics
A general method to carry out the fluorination of metal oxides with poly(tetrafluoroethylene) (PTFE, Teflon) waste by spark plasma sintering (SPS) on a minute scale with Teflon is reported. The potential of this new approach is highlighted by the following results. i) The tantalum oxyfluorides Ta 3 O 7 F and TaO 2 F are obtained from plastic scrap without using toxic or caustic chemicals for fluorination. ii) Short reaction times (minutes rather than days) reduce the process time the energy costs by almost three orders of magnitude. iii) The oxyfluorides Ta 3 O 7 F and TaO 2 F are produced in gram amounts of nanoparticles. Their synthesis can be upscaled to the kg range with industrial sintering equipment. iv) SPS processing changes the catalytic properties: while conventionally prepared Ta 3 O 7 F and TaO 2 F show little catalytic activity, SPS‐prepared Ta 3 O 7 F and TaO 2 F exhibit high activity for photocatalytic oxygen evolution, reaching photoconversion efficiencies up to 24.7% and applied bias to photoconversion values of 0.86%. This study shows that the materials properties are dictated by the processing which poses new challenges to understand and predict the underlying factors.