Exhaustive and stable electromembrane extraction of acidic drugs from human plasma

Research output: Contribution to journalJournal articleResearchpeer-review

The first part of the current work systematically described the screening of different types of organic solvents as the supported liquid membrane (SLM) for electromembrane extraction (EME) of acidic drugs, including different alcohols, ketones, and ethers. Seven acidic drugs with a wide logP range (1.01-4.39) were selected as model substances. For the first time, the EME recovery of acidic drugs and system-current across the SLM with each organic solvent as SLM were investigated and correlated to relevant solvent properties such as viscosity and Kamlet and Taft solvatochromic parameters. Solvents with high hydrogen bonding acidity (α) and dipolarity-polarizability (π*) were found to be successful SLMs, and 1-heptanol was the most efficient candidate, which provided EME recovery in the range of 94-110%. Both hydrogen bonding interactions, dipole-dipole interactions, and hydrophobic interactions were involved in stabilizing the deprotonated acidic analytes (with high hydrogen bonding basicity and high dipole moment) during mass transfer across the SLM. The efficiency of the extraction normally decreased with increasing hydrocarbon chain length of the SLM, which was mainly due to increasing viscosity and decreasing α and π* values. The system-current during EME was found to be dependent on the type and the volume of the SLM. In contact with human plasma, an SLM of pure 1-heptanol was unstable, and to improve stability, 1-heptanol was mixed with 2-nitrophenyl octyl ether (NPOE). With this SLM, exhaustive EME was performed from diluted human plasma, and the recoveries of five out of seven analytes were over 91% after 10min EME. This approach was evaluated using HPLC-UV, and the evaluation data were found to be satisfactory
Original languageEnglish
JournalJournal of Chromatography A
Volume1425
Pages (from-to)81-87
Number of pages7
ISSN0021-9673
DOIs
Publication statusPublished - 2015

ID: 154176867