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Roll-to-Roll Transfer of Electrospun Nanofiber Film for High-Efficiency Transparent Air Filter.
Xu, Jinwei; Liu, Chong; Hsu, Po-Chun; Liu, Kai; Zhang, Rufan; Liu, Yayuan; Cui, Yi.
Afiliação
  • Xu J; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Liu C; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Hsu PC; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Liu K; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Zhang R; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Liu Y; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
  • Cui Y; Department of Materials Science and Engineering, Stanford University , Stanford, California 94305, United States.
Nano Lett ; 16(2): 1270-5, 2016 Feb 10.
Article em En | MEDLINE | ID: mdl-26789781
ABSTRACT
Particulate matter (PM) pollution in air has become a serious environmental issue calling for new type of filter technologies. Recently, we have demonstrated a highly efficient air filter by direct electrospinning of polymer fibers onto supporting mesh although its throughput is limited. Here, we demonstrate a high throughput method based on fast transfer of electrospun nanofiber film from roughed metal foil to a receiving mesh substrate. Compared with the direct electrospinning method, the transfer method is 10 times faster and has better filtration performance at the same transmittance, owing to the uniformity of transferred nanofiber film (>99.97% removal of PM2.5 at ∼73% of transmittance). With these advantages, large area freestanding nanofiber film and roll-to-roll production of air filter are demonstrated.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article