Optimisation of an extraction/leaching procedure for the characterisation and quantification of titanium dioxide (TiO2) nanoparticles in aquatic environments using SdFFF-ICP-MS and SEM-EDX analyses

2017 ◽  
Vol 9 (24) ◽  
pp. 3626-3635 ◽  
Author(s):  
Florian Dutschke ◽  
Johanna Irrgeher ◽  
Daniel Pröfrock

A novel, optimized and validated extraction method for engineered TiO2 nano-particles from environmental samples prior to SdFFF-MALS-ICP-MS/MS analysis is presented.

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 734
Author(s):  
Simone Heilgeist ◽  
Ryo Sekine ◽  
Oz Sahin ◽  
Rodney A. Stewart

In recent years, titanium dioxide (TiO2) has increasingly been used as an inorganic ultraviolet (UV) filter for sun protection. However, nano-TiO2 may also pose risks to the health of humans and the environment. Thus, to adequately assess its potential adverse effects, a comprehensive understanding of the behaviour and fate of TiO2 in different environments is crucial. Advances in analytical and modelling methods continue to improve researchers’ ability to quantify and determine the state of nano-TiO2 in various environments. However, due to the complexity of environmental and nanoparticle factors and their interplay, this remains a challenging and poorly resolved feat. This paper aims to provide a focused summary of key particle and environmental characteristics that influence the behaviour and fate of sunscreen-derived TiO2 in swimming pool water and natural aquatic environments and to review the current state-of-the-art of single particle inductively coupled plasma mass spectrometry (SP-ICP-MS) approaches to detect and characterise TiO2 nanoparticles in aqueous media. Furthermore, it critically analyses the capability of existing fate and transport models to predict environmental TiO2 levels. Four particle and environmental key factors that govern the fate and behaviour of TiO2 in aqueous environments are identified. A comparison of SP-ICP-MS studies reveals that it remains challenging to detect and characterise engineered TiO2 nanoparticles in various matrices and highlights the need for the development of new SP-ICP-MS pre-treatment and analysis approaches. This review shows that modelling studies are an essential addition to experimental studies, but they still lack in spatial and temporal resolution and mostly exclude surface transformation processes. Finally, this study identifies the use of Bayesian Network-based models as an underexplored but promising modelling tool to overcome data uncertainties and incorporates interconnected variables.


1998 ◽  
Vol 27 (4) ◽  
pp. 265-276 ◽  
Author(s):  
T. H. Nguyen ◽  
J. Boman ◽  
M. Leermakers

2017 ◽  
Vol 42 (1) ◽  
pp. 139-149 ◽  
Author(s):  
Camille Delvigne ◽  
Bernard Angeletti ◽  
Abel Guihou ◽  
Isabelle Basile-Doelsch ◽  
Jean-Dominique Meunier

Author(s):  
Sonal Rani, Ritika Sharma and Neetu Rani

The study aims at application of Nano scaled titanium dioxide nanoparticles with photocatalytic activity. The titanium dioxide nanoparticles were applied by a dip-pad–dry-cure process with the help of binders to textile materials for producing photocatalytic self-cleaning thin films. The study was focused on the application and characterization of titanium dioxide. The photocatalytic activity of TiO2 nanoparticles was studied against Methyl Orange degradation test in solar box test instrument by dissolving TiO2 nano-composites in an aqueous solution at low temperature. Polyester is most widely used synthetic fibre in textile and clothing. In this study, Anatase TiO2 nanoparticles are dispersed at room temperature via Sonication and treated polyester fabrics exhibit significant photocatalytic self-cleaning properties of degradation of coffee stains. The mechanical properties like bending length, breaking strength, air permeability and durability of TiO2 treated polyester fabrics were accessed. The study discovered that anatase TiO2 based self-cleaning system shows potential systems for self-cleaning textiles having high potential in commercialization being environmentally affable, energy and water saving, low cost as of reduced laundry cycles of the finished textiles.


2019 ◽  
Vol 20 (2) ◽  
pp. 516-528
Author(s):  
Deogratius T. Maiga ◽  
Bhekie B. Mamba ◽  
Titus A. M. Msagati

Abstract This paper reports the results of a study on the analysis and characterization of titanium dioxide (TiO2) nanoparticles (NPs) in samples that were collected from selected freshwater dams in South Africa. The study employed a combination of complementary techniques to ascertain the analytical procedures and the occurrence of TiO2 NPs in water. Characterization, identification and quantification of TiO2 NPs in surface water samples from five sampled dams was performed using several techniques including scanning electron microscopy-energy dispersive X-ray (SEM-EDX), fluorescence excitation–emission matrix (FEEM) and single particle inductively coupled plasma mass spectroscopy (SP-ICP-MS). The SP-ICP-MS technique was able to simultaneously determine the size and concentration of both the dissolved and particulate titanium (Ti) in water samples. The Ti-containing NPs were found at concentrations ranging from 8.3 × 104 parts/mL to 1.4 × 105 parts/mL in the presence of 14.9 μg/L to 243 μg/L dissolved Ti. The TiO2 nanoparticles were mostly composed of small agglomerates ranging from 102.9 nm to 158.9 nm in size.


2020 ◽  
Vol 70 (12) ◽  
pp. 4594-4600

The purpose of this study was to characterize some types of biomass wastes resulted from different activities such as: agriculture, forestry and food industry using thermogravimetric and ICP-MS analyses. Also, it was optimized an ICP-MS method for the determination of As, Cd and Pb from biomass ash samples. The ICP-MS analysis revealed that the highest concentration of metals (As, Cd, Pb) was recorded in the wood waste ash sample, also the thermogravimetric analysis indicated that the highest amount of ash was obtained for the same sample (26.82%). The biomass wastes mentioned in this study are alternative recyclable materials, reusable as pellets and briquettes. Keywords: ash, biomass, ICP-MS, minor elements, TG


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