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Updated: Jun 26, 2026

A New Straightforward Method for Lipophilicity (logP) Measurement using 19F NMR Spectroscopy
Published on: January 30, 2019
Lipophilicity data for some preservatives estimated by reversed-phase liquid chromatography and different computation
Dorina Casoni1, Agata Kot-Wasik, Jacek Namieśnik
1Babeş-Bolyai University, Faculty of Chemistry and Chemical Engineering, Cluj Napoca, Cluj, Romania.
This study explored preservative lipophilicity using reversed-phase high-performance liquid chromatography. The C8 column proved most effective for estimating lipophilicity, enabling predictive models for preservative behavior.
Area of Science:
- Analytical Chemistry
- Chromatography
- Physical Chemistry
Background:
- Accurate estimation of preservative lipophilicity is crucial for understanding their behavior and developing predictive models.
- Reversed-phase high-performance liquid chromatography (RP-HPLC) is a common technique for separating and analyzing chemical compounds.
- Various stationary phases and mobile phase compositions can influence chromatographic behavior and lipophilicity estimations.
Purpose of the Study:
- To evaluate the chromatographic behavior of preservatives using different reversed-phase columns (C18, C8, CN100, NH2).
- To estimate and compare the lipophilicity of selected preservatives.
- To establish correlations between experimental lipophilicity indices and computed values, and to explore predictive modeling opportunities.
Main Methods:
- Reversed-phase high-performance liquid chromatography (RP-HPLC) was performed on C18, C8, CN100, and NH2 columns.
- Mobile phases consisted of methanol-water mixtures with formic acid at varying volume proportions.
- Lipophilicity was assessed using experimental indices (logk(w), S, phi(0), k, logk, principal component scores) and compared with computed logP values.
Main Results:
- Lipophilicity estimations on C18, C8, and CN100 columns showed good comparability and correlation.
- The C8 column demonstrated superior suitability for estimating the lipophilicity of the investigated preservatives.
- Highly significant correlations were found between experimental and computed lipophilicity values, supporting the development of predictive models.
Conclusions:
- The C8 column is recommended for accurate lipophilicity estimation of preservatives via RP-HPLC.
- Established correlations enable the derivation of predictive models using Collander-type equations.
- Principal component analysis (PCA) aids in understanding chromatographic interactions and preservative behavior, with parabens and tert-butylhydroquinone identified as most lipophilic.
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