An Unprecedented Metal Distribution in Silica Nanoparticles Determined by Single-Particle Inductively Coupled Plasma Mass Spectrometry

Author:

Han Juan12ORCID,Wu Xu13ORCID,Zhao Julia Xiaojun1ORCID,Pierce David T.1ORCID

Affiliation:

1. Department of Chemistry, University of North Dakota, 151 Cornell Street, Stop 9024, Grand Forks, ND 58202, USA

2. New Mexico Institute of Mining & Technology, 801 Leroy Place, Socorro, NM 87801, USA

3. Department of Chemistry, University of South Dakota, 414 E. Clark St., Vermillion, SD 57069, USA

Abstract

Metal-containing nanoparticles are now common in applications ranging from catalysts to biomarkers. However, little research has focused on per-particle metal content in multicomponent nanoparticles. In this work, we used single-particle inductively coupled plasma mass spectrometry (ICP-MS) to determine the per-particle metal content of silica nanoparticles doped with tris(2,2′-bipyridyl)ruthenium(II). Monodispersed silica nanoparticles with varied Ru doping levels were prepared using a water-in-oil microemulsion method. These nanoparticles were characterized using common bulk-sample methods such as absorbance spectroscopy and conventional ICP-MS, and also with single-particle ICP-MS. The results showed that averaged concentrations of metal dopant measured per-particle by single-particle ICP-MS were consistent with the bulk-sample methods over a wide range of dopant levels. However, the per-particle amount of metal varied greatly and did not adhere to the usual Gaussian distribution encountered with one-component nanoparticles, such as gold or silver. Instead, the amount of metal dopant per silica particle showed an unexpected geometric distribution regardless of the prepared doping levels. The results indicate that an unusual metal dispersal mechanism is taking place during the microemulsion synthesis, and they challenge a common assumption that doped silica nanoparticles have the same metal content as the average measured by bulk-sample methods.

Funder

National Science Foundation

North Dakota IDeA Network of Biomedical Research Excellence

Basic Science Imaging Center at the UND School of Medicine and Health Sciences

Publisher

MDPI AG

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