Prediction of retardation factor of protein amino acids in reversed phase TLC and ethanol-sodium azide solution as the mobile phase using QSRR

Due to the importance of amino acids (AAs) as basic bricks proteins and their application in drug food industries, there is great interest separation identification using simple inexpensive approaches. Application predictive models for determination behavior AAs can reduce trial-and-error experiments. Herein, retardation factor (RF) 21 protein were studied quantitative structureretardation (QSRR) model. The RF values ethanol?sodium azide solution mobile phase reversed thin layer chromatography (RP-TLC) correlated with structural properties AAs. suggested QSRR indicated excellent fitting prediction ability (R2train = 0.95 R2test 0.94). Furthermore, other statistical tests, such y-scrambling, cross validation Williams plot confirmed stability, absence chance suitable applicability domain, respectively. It was shown that sum geometrical distances between oxygen nitrogen atoms an AA molecule important ethanol? sodium azide.