%0 Journal Article %T A Quantitative Structure–Property Relationship Study on Cerium(III) Complexes with Ionophores Applied in Lanthanoid Sensors %J Analytical and Bioanalytical Electrochemistry %I Analytical and Bioanalytical Electrochemistry is an international scientific journal, which is published online every 3 months (since 2009), every 2 months (since 2011) and monthly (since 2018) by Center of Excellence in Electrochemistry, University of Tehran %Z - %A Kiani-anboui, Roya %D 2021 %\ 12/01/2021 %V 13 %N 3 %P 423-435 %! A Quantitative Structure–Property Relationship Study on Cerium(III) Complexes with Ionophores Applied in Lanthanoid Sensors %K QSPR %K Complex stability constant %K Cerium-selective electrode %K genetic algorithm %K Multiple Linear Regression %R %X Since the selectivity of an ion selective sensor is directly related to the stability constants of ion–ionophore complexes, we predicted the complexation stability (K) of cerium ions with different ionophores by the quantitative structure–property relationship model. Genetic algorithm (GA) feature selection approach was selected to choose the proper molecular descriptors which were then subjected to multiple linear regression (MLR) for prediction of the log K. The predictive ability of the built genetic algorithm-multiple linear regression (GA-MLR) model was evaluated using Leave-one-out cross-validation, Leave-group-out cross-validation, Y-randomization, and test set compounds. Statistical parameters of the model (R2train=0.852, Q2LOO= 0.813, and Q2LGO=0.777) indicated the ability of the GA-MLR model to predict the response of ionophores in cerium-selective sensors based on complex stability constants. Also, the applicability domain of the model was analyzed by the Williams plot. Based on this study, some key features are identifiable to appraise the selectivity of cerium sensors that can be used to design new selectophores. %U https://www.abechem.com/article_248528_65dd7c5187d16f5ec84cb03f54b9f8d4.pdf