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Cited by 320

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Analysis of Optical Absorbance Spectra for the Determination of ZnO Nanoparticle Size Distribution, Solubility, and Surface Energy

Segets, Doris, Gradl, Johannes, Taylor, Robin Klupp, Vassilev, Vassil, Peukert, Wolfgang·2009·ACS Nano

Abstract

We present a model to calculate particle size distributions (PSDs) of colloidal ZnO nanoparticles from their absorbance spectra. Using literature values for the optical properties of bulk ZnO and correlating the measurement wavelengths in the UV-visible regime with distinct particle sizes by a tight binding model (TBM), an algorithm deconvolutes the absorbance spectra into contributions from size fractions. We find an excellent agreement between size distributions determined from TEM images and the calculated PSDs. For further validation, bimodal PSDs have been investigated and an approach to determine not only particle size but also solid concentration is introduced. We will show the applicability of our model by the determination of temperature-dependent ripening rates, which enables the calculation of solubilities, surface tensions, and the activation enthalpy of ripening. In principle, our methodology is applicable to different semiconductor nanoparticles in various solvents as long as their bulk properties are known and scattering is negligible.

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Crossref · 10.1021/nn900223b

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Metadata

Authors
Segets, D., Gradl, J., Taylor, R. K., Vassilev, V., & Peukert, W.
Venue
ACS Nano
Published
2009-06-09
Volume
3
Issue
7
Pages
1703-1710
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2053319448
Cited by
320
References
16
FWCI
4.31
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.