Abstract
The article aimed to outline a statistical model based on nonlinear regressions for the efficiency of the Fluorescence Resonance Energy Transfer (FRET) phenomenon and to select a general simulation method of the FRET phenomenon, independent of the nature of the active substance used as a donor. For this purpose, several statistical models of Polynoal and nonlinear Gaussiene regressions were first tested, which would fit as well as possible the variation in time efficiency and its dependence on the concentrations of active substances. The regression models used were implemented and tested in the R language. In the second part of the study we aprooached the problem of simulating the efficiency of FRET by adapting a Monte Carlo method, using as a starting point the previously determined regressive models.
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30 December 2021
A Correction to this paper has been published: https://doi.org/10.1007/s10895-021-02865-3
29 November 2022
A Correction to this paper has been published: https://doi.org/10.1007/s10895-022-03088-w
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Acknowledgements
One of the authors (LAB) acknowledge the financial support from the Ministry of Research, Innovation and Digitization under project PN 19060205/2019. “Many thanks to Professor Dan Gabriel Ghita, from the National Institute for Nuclear Physics and Engineering, IFIN-HH, ELI-NP, for the support given to the composition and coordination of this article.”
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Afrodita Liliana Boldea: Conceptualization, Methodology, Data analysis, Data modeling, Writing; Dan Gabriel Ghita: Conceptualization, Methodology, Verification, Composition coordination.
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The original online version of this article was revised: We want to add an ‘Acknowledgment’ statement to our paper.
The original online version of this article was revised: The 2nd author ‘Dan Gabriel Ghita’ did not receive a request for confirming his authorship to this article. With this, he wanted to be excluded as an author, considering he have no contribution to the work.
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Boldea, A.L. Monte Carlo Simulation of the Efficiency of Fluorescence Resonance Energy Transfer, FRET Phenomenon. J Fluoresc 32, 87–93 (2022). https://doi.org/10.1007/s10895-021-02822-0
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DOI: https://doi.org/10.1007/s10895-021-02822-0