RT Journal Article
T1 Cloud point extraction and ICP-MS for titanium speciation in water samples
A1 López Mayán, Juan José
A1 Barciela Alonso, María Carmen
A1 Domínguez González, Raquel
A1 Peña Vázquez, Elena María
A1 Bermejo Barrera, Pilar
K1 TiO2 nanoparticles
K1 Cloud Point Extraction (CPE)
K1 Water
K1 Inductively coupled plasma mass spectrometry
K1 Triton X-114
AB An analytical method for the separation and determination of titanium dioxide nanoparticles in water samples has been developed. The separation was performed by Cloud Point Extraction (CPE) with Triton X-114. Titanium dioxide nanoparticles and ionic titanium were analysed in the surfactant rich phase and surfactant poor phase respectively, by inductively coupled plasma-mass spectrometry (ICP-MS). Parameters related to the CPE procedure such as Triton X-114 and NaCl concentrations were evaluated. Optimum concentrations of 0.03% (w/v) and 2.5 mM of Triton X-114 and NaCl respectively, were selected to develop this study. The TiO2 nanoparticles extracted were digested using HNO3 and H2O2 in an ultrasonic bath for 10 min at 60°C and analysed by ICP-MS. The analytical characteristics of the method (calibration, limits of detection and quantification, precision and recovery) were evaluated. The LOD and LOQ for Ti determination in the surfactant rich phase were 0.13 and 0.45 µg L−1, respectively. Finally, the method was applied for the determination of TiO2 nanoparticles in swimming pool water samples
PB Elsevier
YR 2020
FD 2020-01
LK http://hdl.handle.net/10347/32578
UL http://hdl.handle.net/10347/32578
LA eng
NO López-Mayan, J., Barciela-Alonso, M.C., Domínguez-González, M.R., Peña-Vázquez, E., Bermejo-Barrera, P. (2020). Cloud point extraction and ICP-MS for titanium speciation in water samples. "Microchemical Journal", vol. 152, 104264
NO The authors wish to thank the Spanish Ministerio de Ciencia, Innovación y Universidades (Project number RTI2018-099222-B-100), the European Union (programme Interreg Atlantic Area, Project number EAPA_590/2018), and Xunta de Galicia (Grupo de Referencia Competitiva ED431C2018/19 for financial support. This research was partially supported by the Consellería de Educación Program for the Development of Strategic Grouping in Materials - AEMAT at the University of Santiago de Compostela under grant No. ED431E2018/08, Xunta de Galicia. These programs are co-funded by FEDER (UE).
DS Minerva
RD 28 abr 2026