Research Output
Prediction and mechanism elucidation of analyte retention on phospholipid stationary phases (IAM-HPLC) by in silico calculated physico-chemical descriptors
  The present study proposes a method for an in silico calculation of phospholipophilicity. Phospholipophilicity is intended as the measure of analyte affinity for phospholipids; it is currently assessed by HPLC measures of analyte retention on phosphatidylcholine-like stationary phases (IAM – Immobilized Artificial Membrane) resulting in log kW^IAM values. Due to the amphipathic and electrically charged nature of phospholipids, retention on these stationary phases results from complex mechanisms, being affected not only by lipophilicity (as measured by n-octanol/aqueous phase partition coefficients, log P) but also by the occurrence of polar and/or electrostatic intermolecular interaction forces. Differently from log P, to date no method has been proposed for in silico calculation of log kW^IAM.

The study is aimed both at shedding new light into the retention mechanism on IAM stationary phases and at offering a high-throughput method to achieve such values. A wide set of physico-chemical and topological properties were taken into account, yielding a robust final model including four in silico calculated parameters (lipophilicity, hydrophilic/lipophilic balance, molecular size, and molecule flexibility). The here presented model was based on the analysis of 205 experimentally determined values, taken from the literature and measured by a single research group to minimize the interlaboratory variability; such model is able to predict phospholipophilicity values on both the two IAM stationary phases to date marketed, i.e. IAM.PC.MG and IAM.PC.DD2, with a fairly good degree (r² = 0.85) of accuracy.

The present work allowed the development of a free on-line service aimed at calculating log kW^IAM values of any molecule included in the PubChem database, which is freely available at http://nova.disfarm.unimi.it/logkwiam.htm.

  • Type:

    Article

  • Date:

    03 December 2016

  • Publication Status:

    Published

  • Publisher

    Elsevier BV

  • DOI:

    10.1016/j.ejps.2016.11.026

  • Cross Ref:

    S092809871630519X

  • ISSN:

    0928-0987

  • Funders:

    Italian Ministry of Health

Citation

Russo, G., Grumetto, L., Barbato, F., Vistoli, G., & Pedretti, A. (2017). Prediction and mechanism elucidation of analyte retention on phospholipid stationary phases (IAM-HPLC) by in silico calculated physico-chemical descriptors. European Journal of Pharmaceutical Sciences, 99, 173-184. https://doi.org/10.1016/j.ejps.2016.11.026

Authors

Keywords

Immobilized artificial membrane; Prediction of phospholipid affinity; IAM-HPLC; Quantitative structure-property relationship models; Biochromatography

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