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Published on: June 7, 2018
Prediction of Successful Amorphous Solid Dispersion Pairs through Liquid State Nuclear Magnetic Resonance
Ana L Coutinho1, Kellie Hom1, James E Polli1
1Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States.
Nuclear magnetic resonance (NMR) can predict polymer suitability for amorphous solid dispersions (ASDs). Strong drug-polymer interactions identified by NMR correlate with prolonged drug supersaturation and reduced precipitation, streamlining ASD development.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Analytical Chemistry
Background:
- Amorphous solid dispersions (ASDs) enhance drug solubility and bioavailability.
- The
- parachute effect
- in ASDs relies on polymer-mediated drug supersaturation.
- Understanding drug-polymer interactions is crucial for ASD formulation.
Purpose of the Study:
- To evaluate liquid state nuclear magnetic resonance (NMR) as a tool for polymer selection in ASD development.
- To correlate NMR-detected drug-polymer interactions with drug precipitation kinetics in supersaturation studies.
- To streamline the process of identifying suitable polymers for ASDs.
Main Methods:
- Drug-polymer interactions were assessed using saturation transfer difference NMR (STD-NMR), T1 relaxation time, and 2D-1H NOESY experiments.
- Supersaturation studies were conducted using the solvent-shift methodology to measure precipitation inhibition.
- 1H NMR findings were compared with experimental supersaturation data for etravirine with HPMC, HPMCAS-M, and PVP-VA.
Main Results:
- STD-NMR and T1 relaxation time indicated preferential binding of etravirine to HPMCAS-M > HPMC ≫ PVP-VA.
- NMR data provided insights into specific drug-polymer binding sites.
- HPMC and HPMCAS-M demonstrated strong interactions, effectively inhibiting etravirine precipitation and maintaining supersaturation, unlike PVP-VA.
- Supersaturation studies confirmed that HPMC and HPMCAS-M prolonged etravirine dissolution compared to PVP-VA.
Conclusions:
- Liquid state 1H NMR is a promising, non-destructive method for predicting polymer performance in ASDs.
- Strong drug-polymer interactions detected by NMR correlate with enhanced drug supersaturation and reduced precipitation.
- NMR can significantly streamline polymer selection for ASD development, saving time and resources.
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