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A new insight for an old system: Protein-PEG colocalization in relation to protein release from PCL/PEG blends

  • Kerh Lin Liu
  • , Effendi Widjaja
  • , Yingying Huang
  • , Xu Wen Ng
  • , Say Chye Joachim Loo
  • , Freddy Yin Chiang Boey
  • , Subbu S. Venkatraman*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Quantification of protein-polymer colocalization in a phase-separated polymer blend gives important insights into the protein release mechanism. Here, we report on the first visualization of protein-poly(ethylene glycol) (protein-PEG) colocalization in poly(ε-caprolactone)/poly(ethylene glycol) (PCL/PEG) blend films using a combined application of confocal Raman mapping and confocal laser scanning microscopy (CLSM) imaging. The degree of protein-PEG colocalization was further quantified via a novel image processing technique. This technique also allowed us to characterize the 3-D protein distribution within the films. Our results showed that the proteins were homogeneously distributed within the film matrix, independent of PEG content. However, the degree of protein-PEG colocalization was inversely proportional to PEG content, ranging from 65 to 94%. This quantitative data on protein-PEG colocalization was used along with in vitro PEG leaching profile to construct a predictive model for overall protein release. Our prediction matched well with the experimental protein release profile, which is characterized by an initial burst release and a subsequent slower diffusional release. More importantly, the success of this predictive model has highlighted the influence of protein-PEG colocalization on the protein release mechanism. © 2011 American Chemical Society.
Original languageEnglish
Pages (from-to)2173-2182
JournalMolecular Pharmaceutics
Volume8
Issue number6
Online published11 Nov 2011
DOIs
Publication statusPublished - 5 Dec 2011
Externally publishedYes

Funding

This work was supported by a grant from National Research Foundation (NRF)—Competitive Research Programme (CRP). Authors thank Dr. Ma Lwin Lwin and Ms. Xia Yun for their knowledge in image processing and Dr. Terry W. J. Steele for fruitful discussions.

Research Keywords

  • colocalization
  • distribution
  • image processing
  • partitioning
  • protein release

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