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Journal of Separation Science
Article . 2020 . Peer-reviewed
License: CC BY
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Journal of Separation Science
Article
License: CC BY
Data sources: UnpayWall
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Influence of acid‐base dissociation equilibria during electromembrane extraction

Authors: Magnus Saed Restan; Sindre Bergstrøm Ramsrud; Henrik Jensen; Stig Pedersen‐Bjergaard;

Influence of acid‐base dissociation equilibria during electromembrane extraction

Abstract

AbstractElectromembrane extraction is affected by acid–base equilibria of the extracted substances as well as coupled equilibria associated with the partitioning of neutral substances to the supported liquid membrane. A theoretical model for this was developed and verified experimentally in the current work using pure 2‐nitrophenyl octyl ether as supported liquid membrane. From this model, extraction efficiency as a function of pH can be predicted. Substances with log P < 0–2 are generally extracted with low efficiency. Substances with log P > 2 are generally extracted with high efficiency when acceptor pH < pKaH − log P. Twelve basic drug substances (2.07 < log P < 6.57 and 6.03 < pKaH < 10.47) were extracted under different pH conditions with 2‐nitrophenyl octyl ether as supported liquid membrane and fitted to the model. Seven of the drug substances behaved according to the model, while those with log P close to 2.0 deviated from prediction. The deviation was most probably caused by deprotonation and ion pairing within the supporting liquid membrane. Measured partition coefficients (log P) between 2‐nitrophenyl octyl ether and water, were similar to traditional log P values between n‐octanol and water. Thus, the latter have potential for pKaH − log P predictions.

Country
Denmark
Keywords

microextraction, sample preparation, electromembrane extraction, acid–base equilibria

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green
hybrid