Simple and Accurate Quantification of Quantum Dots via Single-Particle Counting

Chun-yang Zhang and Lawrence W. Johnson*
Department of Chemistry, York College and The Graduate Center, The City University of New York, Jamaica, New York 11451
J. Am. Chem. Soc., 2008, 130 (12), pp 3750–3751
DOI: 10.1021/ja711493q
Publication Date (Web): March 1, 2008
Copyright © 2008 American Chemical Society
*

In papers with more than one author, the asterisk indicates the name of the author to whom inquiries about the paper should be addressed.

, lwj@york.cuny.edu

Abstract

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Quantification of quantum dots (QDs) is essential to the quality control of QD synthesis, development of QD-based LEDs and lasers, functionalizing of QDs with biomolecules, and engineering of QDs for biological applications. However, simple and accurate quantification of QD concentration in a variety of buffer solutions and in complex mixtures still remains a critical technological challenge. Here, we introduce a new methodology for quantification of QDs via single-particle counting, which is conceptually different from established UV−vis absorption and fluorescence spectrum techniques where large amounts of purified QDs are needed and specific absorption coefficient or quantum yield values are necessary for measurements. We demonstrate that single-particle counting allows us to nondiscriminately quantify different kinds of QDs by their distinct fluorescence burst counts in a variety of buffer solutions regardless of their composition, structure, and surface modifications, and without the necessity of absorption coefficient and quantum yield values. This single-particle counting can also unambiguously quantify individual QDs in a complex mixture, which is practically impossible for both UV−vis absorption and fluorescence spectrum measurements. Importantly, the application of this single-particle counting is not just limited to QDs but also can be extended to fluorescent microspheres, quantum dot-based microbeads, and fluorescent nano rods, some of which currently lack efficient quantification methods.

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History

  • Published In Issue March 26, 2008
  • Received December 31, 2007

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