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Predicting fluorescence quantum yield for anisole at elevated temperatures and pressures

Abstract : Aromatic molecules are promising candidates for using as a fluorescent tracer for gas-phase scalar parameter diagnostics in a drastic environment like engines. Along with anisole turning out an excellent temperature tracer by Planar Laser-Induced Fluorescence (PLIF) diagnostics in Rapid Compression Machine (RCM), its fluorescence signal evolution versus pressure and temperature variation in a high-pressure and high-temperature cell have been reported in our recent paper on Applied Phys. B by Tran et al. Parallel to this experimental study, a photophysical model to determine anisole Fluorescence Quantum Yield (FQY) is delivered in this paper. The key to development of the model is the identification of pressure, temperature, and ambient gases, where the FQY is dominated by certain processes of the model (quenching effect, vibrational relaxation, etc.). In addition to optimization of the vibrational relaxation energy cascade coefficient and the collision probability with oxygen, the non-radiative pathways are mainly discussed. The common non-radiative rate (intersystem crossing and internal conversion) is simulated in parametric form as a function of excess vibrational energy, derived from the data acquired at different pressures and temperatures from the literature. A new non-radiative rate, namely, the equivalent Intramolecular Vibrational Redistribution or Randomization (IVR) rate, is proposed to characterize anisole deactivated processes. The new model exhibits satisfactory results which are validated against experimental measurements of fluorescence signal induced at a wavelength of 266 nm in a cell with different bath gases (N2, CO2, Ar and O2), a pressure range from 0.2 to 4 MPa, and a temperature range from 473 to 873 K.
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https://hal.sorbonne-universite.fr/hal-01557993
Contributor : Guillaume Legros Connect in order to contact the contributor
Submitted on : Thursday, July 6, 2017 - 6:42:11 PM
Last modification on : Thursday, November 3, 2022 - 11:12:04 AM

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Qianlong Wang, Khanh-Hung Tran, Céline Morin, Jérôme Bonnety, Guillaume Legros, et al.. Predicting fluorescence quantum yield for anisole at elevated temperatures and pressures. Applied Physics B - Laser and Optics, 2017, 123, ⟨10.1007/s00340-017-6773-0⟩. ⟨hal-01557993⟩

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