Self-cleaning applications using TiO₂ coatings on various supporting media have been attracting increasing interest in recent years. This work discusses the issue of self-cleaning textile production on an industrial scale. A method for producing self-cleaning textiles starting from a commercial colloidal nanosuspension (nanosol) of TiO₂ is described. Three different treatments were developed for purifying and neutralizing the commercial TiO₂ nanosol: washing by ultrafiltration; purifying with an anion exchange resin; and neutralizing in an aqueous solution of ammonium bicarbonate. The different purified TiO₂ nanosols were characterized in terms of particle size distribution (using dynamic light scattering), electrical conductivity, and ζ potential (using electrophoretic light scattering). The TiO₂-coated textiles' functional properties were judged on their photodegradation of rhodamine B (RhB), used as a stain model. The photocatalytic performance of the differently treated TiO₂-coated textiles was compared, revealing the advantages of purification with an anion exchange resin. The study demonstrated the feasibility of applying commercial TiO₂ nanosol directly on textile surfaces, overcoming problems of existing methods that limit the industrial scalability of the process.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458890PMC
http://dx.doi.org/10.3390/ma8115437DOI Listing

Publication Analysis

Top Keywords

tio₂ nanosols
8
commercial tio₂
8
tio₂ nanosol
8
anion exchange
8
exchange resin
8
light scattering
8
tio₂
6
nanosols applied
4
applied directly
4
directly textiles
4

Similar Publications

Nanomaterials have been shown to promote crop growth, yield and stress resistance. Carbon nanosol (CNS), a type of nanomaterial, is used to regulate tobacco shoot and root growth. However, information about the application of CNS to crop plants, especially tobacco, is still limited.

View Article and Find Full Text PDF

The detection and classification of foodborne pathogenic bacteria is crucial for food safety monitoring, consequently requiring rapid, accurate and sensitive methods. In this study, the surface-enhanced Raman spectroscopy (SERS) technique coupled with chemometrics methods was used to detect and classify six kinds of foodborne pathogenic bacteria, including (. ), (.

View Article and Find Full Text PDF

Background: Modulating the microbiome with nanomaterials has been proposed to improve plant growth, and reduce reliance on external inputs. Carbon Nanosol (CNS) was attracted for its potential to improve plant productivity. However, the mechanism between CNS and rhizosphere microorganisms remained largely elusive.

View Article and Find Full Text PDF

To overcome the problems of easy aggregation, poor reproducibility and homogeneity of metal nanosols, a SERS substrate with good sensitivity, homogeneity and reproducibility was designed and prepared for the detection of disease markers in urine. Silver nanocubes (Ag NCs) were firstly prepared and then dispersed in cationic cellulose (C-CNF) to form a homogeneous gel, which was dropped on a filter paper to develop a substrate with good SERS activity. This substrate combines the superior SERS properties of Ag NCs with the stability of C-CNF and has a minimum detection concentration of 10 M for R6G.

View Article and Find Full Text PDF

Pleurotus extract-mediated selenium and zinc nanoparticles exhibited improved yield of biofortified fruit bodies.

Int Microbiol

May 2024

Electron Microscopy and Nanoscience Laboratory, College of Agriculture, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.

The current study was aimed for the generation of Pleurotus extracellular extract-mediated selenium and zinc-oxide nanoparticles (NPs). The Pleurotus djamor (PD) and Pleurotus sajor-caju (PSC) extracts were incubated with different concentrations of sodium selenate and zinc acetate to yield BioSeNPs and BioZnONPs. The NPs formation led to visual color change (brick-red and white for Se and Zn nanosols, respectively).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!