Abstract
The quantitative structure-property relationship approach was performed to study the relative fluorescence intensity ratio (R) of Eu(DBM)3Phen (DBM—dibenzoylmethane, Phen—1,10-phenanthroline) in 34 different solvents. The multilinear regression analysis and artificial neural networks were employed to develop linear and nonlinear models, respectively. The proposed linear model contains six descriptors, with the squared correlation coefficient r 2 = 0.955 and the standard error of estimation s = 1.02. Better predictive results were obtained from the nonlinear model, with r 2 = 0.987 and s = 0.51. The descriptors involved in the models were discussed in detail too.
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Acknowledgements
This work was supported by the Foundation of Wuhan University of Science & Engineering (No. 20073208), the Natural Science Foundation of Hubei Province (No. 2007ABA075), and the Key Project of Science and Technology Research of Ministry of Education (No. 208089). The authors gratefully wish to express their thanks to the reviewers for critically reviewing the manuscript and making important suggestions.
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Xu, J., Xiong, Q., Chen, B. et al. Modeling the Relative Fluorescence Intensity Ratio of Eu(III) Complex in Different Solvents Based on QSPR Method. J Fluoresc 19, 203–209 (2009). https://doi.org/10.1007/s10895-008-0403-5
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DOI: https://doi.org/10.1007/s10895-008-0403-5