Collective Fluorescence Oscillation in a Water Dispersion of Colloidal Quantum Dots

Eiha, Noriko; Maenosono, Shinya; Hanaki, Ken-Ichi; Yamamoto, Kenji; Yamaguchi, Yukio

doi:10.1143/jjap.42.l310

Cited by 12 publications

(11 citation statements)

References 3 publications

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“…These size-dependent features might be due to the difference in the ionizability . We have also found that thicker capping layers suppress both PL enhancement and oscillation . The results of the present experiments and of previous studies 35-37 suggest that the PL oscillation and enhancement occur only in the presence of aggregates.…”

Section: Resultssupporting

confidence: 76%

Nonlinear Time-Series Analysis of Photoinduced Fluorescence Oscillation in a Water Dispersion of Colloidal Quantum Dots

2003

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We report on photoinduced fluorescence oscillation observed in a water dispersion of CdSe/ZnS core/shell quantum dots (QDs). The fluorescence intensity spontaneously oscillates under continuous excitation in a temperature-sensitive manner and emerges at 29-30 °C. The experimental results suggest that the fluorescence oscillation occurs only in the presence of QD aggregates. The oscillation is characterized by wavelet and nonlinear time-series analyses of the fluorescence intensity data at 30 °C. The results reveal self-similarity and nonlinearity, suggesting that the fluorescence oscillation is governed by nonlinear dynamics and is a special class of photoinduced chemical oscillation.

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Section: Resultssupporting

confidence: 76%

Nonlinear Time-Series Analysis of Photoinduced Fluorescence Oscillation in a Water Dispersion of Colloidal Quantum Dots

2003

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“…In the consequence, several groups reported excitation intensity and integration time dependent linewidths [26], a relatively minor physical problem, however of strong importance for diagnostics, as it may affect detection of marker-specific emission. The second problem, fluorescence blinking [51][52][53][54][55][56], raised from large surface to volume ratio of QDs. A single dot can blink off (emission is quenched) unexpectedly and uncontrollably.…”

Section: Quantum Dotsmentioning

confidence: 99%

New generation of oxide-based nanoparticles for the applications in early cancer detection and diagnostics

Godlewski

Kaszewski

Kiełbik

et al. 2020

Nanotechnology Reviews

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AbstractHereby the possible applications of oxide nanoparticles in the cancer diagnostics and therapy are presented. Cancer diseases are nowadays one of the most common causes of death in the highly-developed countries. Discussed will be the current clinical cancer detection methods with their shortcomings. The role of nanomedicine in cancer medicine and the potential applications of nanoparticles debated in the literature will be critically evaluated. In the second part, the most common methods for the nanoparticle synthesis will be discussed. Finally, the system for cancer detection based on the enhanced permeation-retention of multimodal high-k oxide nanoparticles doped with lanthanides will be proposed for both for themagnetic resonance imaging (non-gadolinium contrast agents) and for fluorescence guided biopsy and surgery.

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“…Several methods exist for calculating fractal dimension. The most common are Fourier transform methods (Sawant & Nicolau, 2005, and references therein; Khadar & Shanid, 2010), perimeter-area relationships (Sawant & Nicolau, 2005, and references therein) and box-counting (Eiha et al, 2000). Fractal analysis has been used to obtain measures relating to the morphology of TiO 2 films (Khadar & Shanid, 2010), aggregated particulate films (Niklasson, 1993;Gó mez-Rodríguez et al, 1992) and aggregated biomolecules (Sawant & Nicolau, 2005), from atomic force microscopy images.…”

Section: Fractal Dimensionmentioning

confidence: 99%

Statistical measures of spottiness in diffraction rings

Ingham

2013

J Appl Cryst

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Spotty diffraction rings arise when the size distribution of crystallites illuminated by the incident beam includes crystallites that are large compared with the size of the beam. In this article, several statistical measures are used in conjunction to quantify spottiness and relate it to a crystallite size distribution: the number of peaks, the normalized root mean square intensity variation and the fractal dimension. These are demonstrated by way of example using synchrotron X‐ray diffraction patterns collected during in situ corrosion of mild steel in carbon dioxide‐saturated aqueous brine.

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Collective Fluorescence Oscillation in a Water Dispersion of Colloidal Quantum Dots

Cited by 12 publications

References 3 publications

Nonlinear Time-Series Analysis of Photoinduced Fluorescence Oscillation in a Water Dispersion of Colloidal Quantum Dots

Nonlinear Time-Series Analysis of Photoinduced Fluorescence Oscillation in a Water Dispersion of Colloidal Quantum Dots

New generation of oxide-based nanoparticles for the applications in early cancer detection and diagnostics

Statistical measures of spottiness in diffraction rings

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