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Two-photon absorption cross-sections of reference dyes: a critical examination
Prakash Chandra Jha1, Yanhua Wang, Hans Agren
1Department of Theoretical Chemistry, Royal Institute of Technology, Roslagstullsbacken 15, 106 91 Stockholm, Sweden. prakash@theochem.kth.se
Theoretical calculations reveal discrepancies in two-photon absorption cross-sections for common fluorophores like fluorescein. Understanding solvent effects and computational methods is crucial for accurate two-photon absorption spectral analysis.
Area of Science:
- Computational Chemistry
- Photophysics
- Spectroscopy
Background:
- Fluorophores such as p-bis(o-methoxystyryl)benzene (Bis-MSB), coumarin 307, fluorescein, and rhodamine B are widely used as reference compounds.
- Existing literature reports significant discrepancies in measured two-photon absorption cross-sections for these compounds.
Purpose of the Study:
- To theoretically calculate and compare the electronic structure and one- and two-photon absorption spectra of four common fluorophores.
- To investigate the reasons behind the discrepancies in reported two-photon absorption cross-sections.
- To study the influence of solvent environments on spectral properties.
Main Methods:
- Theoretical calculations of electronic structure and absorption spectra.
- Comparison of theoretical results with available experimental data.
- Analysis of solvent effects on spectral properties.
Main Results:
- Theoretical calculations provide insights into the electronic structure and spectral properties of the studied fluorophores.
- The study identifies potential reasons for the wide variations in literature values for two-photon absorption cross-sections.
- The impact of solvent environments on one- and two-photon absorption spectra has been elucidated.
Conclusions:
- Theoretical findings help explain discrepancies in two-photon absorption cross-section data.
- Solvent effects play a significant role in the observed spectral characteristics.
- Precautions are necessary when comparing two-photon absorption cross-section data from different literature sources.
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