127685 20241125101157.0 doi 10.3390/nano13172392 sideral 134771 ART-2023-134771 eng Aramendía, Maite Universidad de Zaragoza (orcid)0000-0002-3916-9992 Isotope dilution analysis for particle mass determination using single-particle inductively coupled plasma time-of-flight mass spectrometry: application to size determination of silver nanoparticles 2023 Access copy available to the general public Unrestricted This paper describes methodology based on the application of isotope dilution (ID) in single-particle inductively coupled plasma time-of-flight mass spectrometry (spICP-ToFMS) mode for the mass determination (and sizing) of silver nanoparticles (AgNPs). For this purpose, and considering that the analytical signal in spICP-MS shows a transient nature, an isotope dilution equation used for online work was adapted and used for the mass determination of individual NPs. The method proposed measures NP isotope ratios in a particle-to-particle approach, which allows for the characterization of NP mass (and size) distributions and not only the mean size of the distribution. For the best results to be obtained, our method development (undertaken through the analysis of the reference material NIST RM 8017) included the optimization of the working conditions for the best precision and accuracy in isotope ratios of individual NPs, which had been only reported to date with multicollector instruments. It is shown that the precision of the measurement of these ratios is limited by the magnitude of the signals obtained for each NP in the mass analyzer (counting statistics). However, the uncertainty obtained for the sizing of NPs in this approach can be improved by careful method optimization, where the most important parameters are shown to be the selection of the spike isotopic composition and concentration. Although only AgNPs were targeted in this study, the method presented, with the corresponding adaptations, could be applied to NPs of any other composition that include an element with different naturally available isotopes. info:eu-repo/grantAgreement/ES/DGA/E43-20R info:eu-repo/grantAgreement/ES/MICINN/PID2021-122455NB-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.4 2023 MATERIALS SCIENCE, MULTIDISCIPLINARY 146 / 439 = 0.333 2023 Q2 T2 NANOSCIENCE & NANOTECHNOLOGY 62 / 141 = 0.44 2023 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 70 / 231 = 0.303 2023 Q2 T1 PHYSICS, APPLIED 47 / 179 = 0.263 2023 Q2 T1 0.798 2023 Chemical Engineering (miscellaneous) 2023 Q1 Materials Science (miscellaneous) 2023 Q2 8.5 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Leite, Diego Resano, Javier Universidad de Zaragoza (orcid)0000-0002-7532-2720 Resano, Martín Universidad de Zaragoza (orcid)0000-0002-7450-8769 Billimoria, Kharmen Goenaga-Infante, Heidi 2009 750 Universidad de Zaragoza Dpto. Química Analítica Área Química Analítica 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 13, 17 (2023), 2392 [20 pp.] Nanomaterials (Basel) Nanomaterials 2079-4991 3621950 http://zaguan.unizar.es/record/127685/files/texto_completo.pdf Versión publicada 2837771 http://zaguan.unizar.es/record/127685/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127685 articulos driver 2024-11-22-12:09:45 ARTICLE