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Published on: June 10, 2018
Evaluation of Mass Spectrometry Compatible Reagents for Determining Small Molecule Loading in Poly(lactic acid)
Samuel A Krug1,2, Andrea L Cottingham1, Masahiro Iwamoto3
1Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 N. Pine Street, Baltimore, MD, 21201, USA.
Ammonium hydroxide effectively hydrolyzes poly(lactic acid) nanoparticles (PLA-NPs), releasing hydrophobic drugs for quantification. This method simplifies drug loading analysis in nanoparticle formulations.
Area of Science:
- Materials Science
- Analytical Chemistry
- Pharmaceutical Sciences
Background:
- Poly(lactic acid) nanoparticles (PLA-NPs) are widely used drug delivery systems.
- Accurate quantification of encapsulated drugs is crucial for formulation development.
- Traditional methods for drug release from PLA-NPs can be cumbersome.
Purpose of the Study:
- To assess the efficacy of ammonium hydroxide, a mass spectrometry-friendly base, for hydrolyzing PLA-NPs.
- To evaluate the impact of nanoparticle formulation parameters on drug loading.
- To establish a simplified quantitative method for drug loading analysis in PLA-NPs.
Main Methods:
- Microfluidics was employed to generate a library of PLA-NPs with varied formulation parameters.
- Dynamic light scattering was used for nanoparticle characterization (size, PDI, zeta potential).
- Hydrophobic drugs were encapsulated, and their release was induced by base hydrolysis (NaOH or NH4OH) followed by LC-MS/MS quantification.
Main Results:
- Ammonium hydroxide demonstrated comparable efficacy to sodium hydroxide in releasing encapsulated hydrophobic drugs from PLA-NPs.
- The developed method using ammonium hydroxide is compatible with LC-MS/MS quantitative analysis.
- Nanoparticle formulation parameters, including flow rate ratio and surfactant type, significantly influenced NP characteristics and drug loading.
Conclusions:
- Ammonium hydroxide is an effective and mass spectrometry-friendly base for hydrolyzing PLA-NPs.
- This approach simplifies the quantitative analysis of drug loading in nanoparticle formulations.
- The findings enable more efficient evaluation of drug loading influenced by NP formulation parameters.
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