Nonparametric Analysis Of Time-Resolved Fluorescence Data Based On The Laguerre Expansion Technique.

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Biophysics

Background:

• Accurate estimation of intrinsic fluorescence intensity decay is crucial for compound analysis.
• Traditional multiexponential least-square iterative reconvolution (LSIR) is the standard deconvolution method.
• LSIR can be computationally intensive and may not always yield unique lifetime parameters.

Purpose of the Study:

• To evaluate the performance of a novel Laguerre deconvolution technique for fluorescence decay analysis.
• To compare the Laguerre deconvolution method against the classical LSIR technique.
• To develop and validate a new method for concentration estimation using Laguerre expansion coefficients.

Main Methods:

• Implementation and testing of Laguerre deconvolution using simulated and fluorescence standard data.
• Comparison of computational efficiency and parameter correlation with intrinsic lifetimes.
• Development and application of a concentration estimation method based on Laguerre expansion coefficients.

Main Results:

• Laguerre deconvolution demonstrated successful performance in estimating fluorescence decay.
• The Laguerre method offers computational advantages and generates unique coefficients correlated with lifetimes.
• The novel concentration estimation method achieved high accuracy (<2% error) for fluorescence mixtures, outperforming PCR and PLS.

Conclusions:

• Laguerre deconvolution is an effective and computationally efficient alternative to LSIR for fluorescence decay analysis.
• Laguerre expansion coefficients provide a robust basis for accurate concentration estimation.
• This approach offers a promising nonparametric method for characterizing biological systems based on spectral and lifetime properties.