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This study presents a new approximation for two-dimensional (2D) fluorescence quenching, improving analysis of diffusion-influenced quenching. The findings enhance the ability to accurately model and differentiate between various spatial dimensions in quenching studies.

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Area of Science:

  • Physical Chemistry
  • Chemical Kinetics
  • Spectroscopy

Background:

  • Diffusion-influenced quenching is crucial in chemical kinetics.
  • Analyzing two-dimensional (2D) quenching is challenging due to complex fitting functions.
  • Previous models were limited to the Smoluchowski boundary condition.

Purpose of the Study:

  • To present an approximation for 2D fluorescence quenching under the Collins-Kimball boundary condition.
  • To investigate the impact of model choice on fitting results.
  • To explore methods for discriminating between different spatial dimensions in quenching.

Main Methods:

  • Development of an approximation for 2D quenching with the Collins-Kimball boundary condition.
  • Utilizing nonlinear least-squares analysis for simulated fluorescence decay data.
  • Investigating inherent properties of fitting functions.

Main Results:

  • The proposed approximation allows for analysis of 2D quenching beyond the diffusion-controlled limit.
  • Simulated data analysis reveals consequences of using incorrect models.
  • The study demonstrates the potential to distinguish between different dimensionalities.

Conclusions:

  • The developed approximation offers a more versatile approach to studying 2D diffusion-influenced quenching.
  • Accurate model selection is critical for reliable interpretation of fluorescence decay data.
  • This work provides tools for better understanding spatial effects in quenching phenomena.