Computational Photophysical Properties of Chlorin e6 Derivatives

A 2026 computational study characterizes spectra and transition rates for absorption, fluorescence, phosphorescence, and intersystem crossing in chlorin e6 trimethyl ester and its zinc and pyridine derivatives. The dataset includes computed spectra and rate constants, with fluorescence and ISC rates on the order of 10^8 s^-1, derived using TDDFT CAM-B3LYP/def2-SVP methods and the Adiabatic Hessian model. It was created by Marlon D. Suárez Ruiz to aid the rational design of porphyrinoid photosensitizers.

Use Cases

• Compare computed absorption, fluorescence, and phosphorescence spectra across TMEe6, ZnTMEe6, and PyrTMEe6 derivatives to validate computational methods against experimental data.
• Analyze intersystem crossing (ISC) rate constants, such as the 2.19x enhancement for ZnTMEe6, to identify structural modifications that optimize photosensitizer efficiency.
• Investigate the coupling between specific singlet and triplet states (e.g., S1 ⇝ T2 for TMEe6) detailed in the study to model non-radiative decay pathways.
• Use the provided transition rate constants and vibrational band data to parameterize kinetic models for photophysical processes in chlorophyll derivatives.

Strengths

• Data is recent, with a last update in March 2026.
• Computational methodology is explicitly detailed, employing TDDFT CAM-B3LYP/def2-SVP and the Adiabatic Hessian model for accuracy.
• Results show good agreement with experimental (0–0) bands, with deviations of less than 0.05 eV in band maxima.
• Specific quantitative findings are reported, such as a 2.19-fold ISC rate enhancement for the zinc derivative and a 41% increase for the pyridine derivative.

Limitations

• The dataset is very small, with a total size of only 276.4 KB, indicating limited scope and likely a small number of data points or molecules.
• As a computational study, all data is simulated and may contain model-specific biases or inaccuracies not present in experimental measurements.
• The exact structure, column names, and row count of the underlying data files are unknown, complicating direct programmatic analysis.

Provenance

Source

figshare

Collection Method

Computational characterization using TDDFT CAM-B3LYP/def2-SVP calculations, the Adiabatic Hessian model, and analytical solution of Fermi's golden rule via path integral formalism.

Freshness

Last updated 2026-03-24.