Green Cleaning Procedures Based on Titania-Doped Cotton Textiles: Effect of Titania Textural Properties
Articolo
Data di Pubblicazione:
2017
Abstract:
Titania-based cotton textiles have been prepared by covering the surface of the fabrics with crystalline
titania anatase, which is known for its nontoxicity, low cost and for its photocatalytic activity in
the degradation of many organic compounds. The coatings were prepared by using the widely used
commercial P25 titania (35-65 m2/g), as reference, and an ordered mesoporous titania with high
surface area (165 m2/g) prepared by soft template assisted route. In order to promote the interaction
between titania and cotton textile, titania-silica nanocomposite coatings have been prepared by dispersing
the titania powder into a silica sol used as binder. FE-SEM investigations revealed that the
fabrics are uniformly covered by silica-titania coatings and titania particles are partially embedded
into silica matrix. The presence of crystalline anatase onto cotton fabrics was confirmed by Raman
and XRD measurements and it was observed that the anatase peaks were more pronounced by
using mesoporous titania. The self-cleaning performances of the functionalized textiles were investigated
by monitoring the discoloration of anthocyanin stains after irradiation with a solar simulator.
Our findings reveal that the use of mesostructured titania leads to a more efficient discoloration with
respect to the commercial P25 titania, suggesting the importance of the titania textural properties on
the photocatalytic activity. The high surface area and the smaller crystallites of ordered mesoporous
titania allow to gain a high number of exposed sites that can improve the self-cleaning performances
of the functionalized textiles with respect to commercial P25 titania. These results appear promising
to further improve the efficiency of self-cleaning cotton fabrics.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Cotton Textiles; Mesostructured Titania; Photocatalytic Activity; Self-Cleaning Properties.
Elenco autori:
Giuliani, Chiara; Liotta, LEONARDA FRANCESCA; Calogero, Giuseppe; Ingo, GABRIEL MARIA; DI CARLO, Gabriella
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