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
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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Cites
Brus, L. E. (1984) · The Journal of Chemical Physics · doi:10.1063/1.447218 · Cited by 5,046
Zangwill, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511622564 · Cited by 1,999
Theory of precipitate change by redissolution
Wagner, C. (1961) · Medical Entomology and Zoology · Cited by 1,943
Synthesis and Growth of ZnO Nanoparticles
Meulenkamp, E. A. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp980730h · Cited by 1,301
The Quantum Mechanics of Larger Semiconductor Clusters ("Quantum Dots")
Bawendi, M. G., Steigerwald, M. L., & Brus, L. E. (1990) · Annual Review of Physical Chemistry · doi:10.1146/annurev.pc.41.100190.002401 · Cited by 1,158
ZnO: From basics towards applications
Klingshirn, C. (2007) · physica status solidi (b) · doi:10.1002/pssb.200743072 · Cited by 1,028
Hisashi Yoshikawa, H. Y., & Sadao Adachi, S. A. (1997) · Japanese Journal of Applied Physics · doi:10.1143/jjap.36.6237 · Cited by 483
Growth Kinetics of Nanocrystalline ZnO Particles from Colloidal Suspensions
Wong, E. M., Bonevich, J. E., & Searson, P. C. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp982397n · Cited by 351
Understanding the quantum size effects in ZnO nanocrystals
Viswanatha, R., Sapra, S., Satpati, B., Satyam, P. V., Dev, B. N., & Sarma, D. D. (2004) · Journal of Materials Chemistry · doi:10.1039/b310404d · Cited by 340
Influence of solvent on the growth of ZnO nanoparticles
Hu, Z., Oskam, G., & Searson, P. C. (2003) · Journal of Colloid and Interface Science · doi:10.1016/s0021-9797(03)00205-4 · Cited by 330
Cited by
Zinc oxide—from synthesis to application: a review
Kołodziejczak-Radzimska, A., & Jesionowski, T. (2014) · Materials · doi:10.3390/ma7042833 · Cited by 2,475
Metadata
- Authors
- Segets, D., Gradl, J., Taylor, R. K., Vassilev, V., & Peukert, W.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- 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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