Literature DB >> 25350815

Temperature and oxygen-concentration dependence of singlet oxygen production by RuPhen as induced by quasi-continuous excitation.

Jaroslav Varchola1, Veronika Huntosova, Daniel Jancura, Georges Wagnières, Pavol Miskovsky, Gregor Bánó.   

Abstract

Assessment of partial pressure of oxygen (pO2) by luminescence lifetime measurements of ruthenium coordination complexes has been studied intensively during the last few decades. RuPhen (dichlorotris(1,10-phenanthroline) ruthenium(ii) hydrate) is a water soluble molecule that has been tested previously for in vivo pO2 detection. In this work we intended to shed light on the production of singlet oxygen by RuPhen. The quantum yield of singlet oxygen production by RuPhen dissolved in 0.9% aqueous NaCl solution (pH = 6) was measured at physiological temperatures (285-310 K) and various concentrations of molecular oxygen. In order to minimize the bleaching of RuPhen, the samples were excited with low power (<2 mW) laser pulses (20 μs long), created by pulsing a cw laser beam with an acousto-optical modulator. We show that, whereas the RuPhen phosphorescence lifetime decreases rapidly with an increase of temperature (keeping the oxygenation level constant), the quantum yield of singlet oxygen production by RuPhen is almost identical in the temperature range of 285-310 K. For air-saturated conditions at 310 K the measured quantum yield is about 0.25. The depopulation rate constants of the RuPhen (3)MLCT (metal-to-ligand charge-transfer) state are determined in the absence and in the presence of oxygen. We determined that the excitation energy for the RuPhen (3)MLCT→d-d transition is 49 kJ mol(-1) in the 0.9% NaCl solution (pH = 6).

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Year:  2014        PMID: 25350815     DOI: 10.1039/c4pp00202d

Source DB:  PubMed          Journal:  Photochem Photobiol Sci        ISSN: 1474-905X            Impact factor:   3.982


  2 in total

1.  Influence of Oxidative Stress on Time-Resolved Oxygen Detection by [Ru(Phen)3]2+ In Vivo and In Vitro.

Authors:  Veronika Huntosova; Denis Horvath; Robert Seliga; Georges Wagnieres
Journal:  Molecules       Date:  2021-01-18       Impact factor: 4.411

2.  Machine learning-based inverse design for electrochemically controlled microscopic gradients of O2 and H2O2.

Authors:  Yi Chen; Jingyu Wang; Benjamin B Hoar; Shengtao Lu; Chong Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

  2 in total

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