Abstract:
The flashes of sonoluminescence and sonophotoluminescence from 0.1 M CeCl3 aqueous solution were separated in time with single photon correlation counter. The Ce3+ luminescence lifetime was determined by correlation method as 33 ns corresponding to the value measured by classical spectroscopical method with temporal resolution. The flash shape as an exponential decay was confirmed with numerical simulation.
Keywords:
sonoluminescence, time-correlated single photon counting, luminescence lifetime.
Citation:
M. V. Kazachek, T. V. Gordeychuk, “Luminescence lifetime of Ce3+ determinated by a time-correlated single photon counting during sonoluminescence from CeCl3 aqueous solution”, Optics and Spectroscopy, 129:9 (2021), 1152–1155; Optics and Spectroscopy, 129:11 (2021), 1236–1239
\Bibitem{KazGor21}
\by M.~V.~Kazachek, T.~V.~Gordeychuk
\paper Luminescence lifetime of Ce$^{3+}$ determinated by a time-correlated single photon counting during sonoluminescence from CeCl$_{3}$ aqueous solution
\jour Optics and Spectroscopy
\yr 2021
\vol 129
\issue 9
\pages 1152--1155
\mathnet{http://mi.mathnet.ru/os62}
\crossref{https://doi.org/10.21883/OS.2021.09.51342.2328-21}
\elib{https://elibrary.ru/item.asp?id=46632515}
\transl
\jour Optics and Spectroscopy
\yr 2021
\vol 129
\issue 11
\pages 1236--1239
\crossref{https://doi.org/10.1134/S0030400X21090113}
Linking options:
https://www.mathnet.ru/eng/os62
https://www.mathnet.ru/eng/os/v129/i9/p1152
This publication is cited in the following 3 articles:
M. V. Kazachek, T. V. Gordeychuk, “Atomic Sodium Sonoluminescence Features during Bubble Collapse in a Cavitation Cloud by Time-Correlated Single Photon Counting”, Acoust. Phys., 70:4 (2024), 619
M. V. Kazachek, T. V. Gordeychuk, “Atomic Sodium Sonoluminescence Features During Bubble Collapse in a Cavitation Cloud by Time-Correlated Single Photon Counting”, Akustičeskij žurnal, 70:4 (2024), 499
Wenzhi Yin, Tuo Zhu, Guoqing Chen, “Classification of Dairy Products by Time-Correlated Single Photon Counting Fluorescence and Principal Component Analysis (PCA)”, Analytical Letters, 2023, 1