4.3 Article

Fast high-throughput screening of temoporfin-loaded liposomal formulations prepared by ethanol injection method

Journal

JOURNAL OF LIPOSOME RESEARCH
Volume 22, Issue 1, Pages 31-41

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.3109/08982104.2011.584319

Keywords

Liposome; ethanol injection method; temoporfin; ethosome; pipetting robot

Funding

  1. Thuringer Ministerium fur Bildung, Wissenschaft und Kultur (TMBWK) [B514-09049]

Ask authors/readers for more resources

A new strategy for fast, convenient high-throughput screening of liposomal formulations was developed, utilizing the automation of the so-called ethanol-injection method. This strategy was illustrated by the preparation and screening of the liposomal formulation library of a potent second-generation photosensitizer, temoporfin. Numerous liposomal formulations were efficiently prepared using a pipetting robot, followed by automated size characterization, using a dynamic light scattering plate reader. Incorporation efficiency of temoporfin and zeta potential were also detected in selected cases. To optimize the formulation, different parameters were investigated, including lipid types, lipid concentration in injected ethanol, ratio of ethanol to aqueous solution, ratio of drug to lipid, and the addition of functional phospholipid. Step-by-step small liposomes were prepared with high incorporation efficiency. At last, an optimized formulation was obtained for each lipid in the following condition: 36.4 mg.mL(-1) lipid, 13.1 mg.mL(-1) mPEG(2000)-DSPE, and 1:4 ethanol: buffer ratio. These liposomes were unilamellar spheres, with a diameter of approximately 50 nm, and were very stable for over 20 weeks. The results illustrate this approach to be promising for fast high-throughput screening of liposomal formulations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available