Projects per year
Abstract
Advances in manufacturing processes provide the ability for the high throughput production of liposomes containing a range of moieties, from small molecules to large biologicals (including proteins and nucleic acids for prophylactic and therapeutic applications). Whilst rapid quantification methods for small molecules are generally well established, the ability to rapidly quantify liposomal entrapment of proteins is limited. Indeed, most standard protein quantification techniques (including the BCA assay and Reverse phase-high performance liquid chromatography (RP-HPLC)) measure protein encapsulation indirectly, by measuring the amount of non-incorporated drug, and subtracting from the initial amount of protein added. However, this can give inaccurate and misrepresentative results. To address this, we have developed a range of methods to directly quantify protein entrapment within liposomes. The encapsulation efficiency within neutral, anionic and cationic liposome formulations was determined by three techniques; BCA assay, RP-HPLC and HPLC coupled to an evaporative light scattering detector, (HPLC-ELSD). All three methods are reliable for the quantification of protein, with linear responses and correlation coefficients of 0.99, and LOQ for all three methods being less than 10 µg/mL. Here within, we provide three methods for the rapid and robust quantification of protein loading within liposomal (and other bilayer) vesicle systems.
Original language | English |
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Article number | 39 |
Number of pages | 16 |
Journal | Pharmaceutics |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 18 Jan 2019 |
Keywords
- microfluidics
- liposome
- solubilisation
- protein quantification
Fingerprint
Dive into the research topics of 'Comparative analysis of protein quantification methods for the rapid determination of protein loading in liposomal formulations'. Together they form a unique fingerprint.Projects
- 2 Finished
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Microfluidic manufacturing and development of a novel clostridium difficile oral vaccine | Forbes, Neil Liam Andrew
Perrie, Y., Hoskisson, P. & Forbes, N. L. A.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/16 → 11/11/20
Project: Research Studentship - Internally Allocated
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Microfluidic manufacturing and development of a novel clostridium difficile oral vaccine
EPSRC (Engineering and Physical Sciences Research Council)
26/09/16 → 25/09/20
Project: Research - Studentship
Datasets
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Data for: 'Comparative Analysis of Protein Quantification Methods for the Rapid Determination of Protein Loading in Liposomal Formulations'
Perrie, Y. (Creator), Hussain, M. T. (Data Collector) & Forbes, N. L. A. (Data Collector), University of Strathclyde, 25 Jan 2019
DOI: 10.15129/aff18e61-6dd6-4f0b-9a58-d400478fea50
Dataset
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Thesis Raw Data: "Microfluidic manufacturing and development of a liposomal vaccine for Clostridium difficile"
Forbes, N. L. A. (Creator) & Perrie, Y. (Supervisor), University of Strathclyde, 11 Mar 2021
DOI: 10.15129/152a2891-13ed-44bf-ba56-6a2e488ade8a
Dataset
Research output
- 27 Citations
- 1 Article
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Rapid and scale-independent microfluidic manufacture of liposomes entrapping protein incorporating in-line purification and at-line size monitoring
Forbes, N., Hussain, M. T., Briuglia, M. L., Edwards, D. P., ter Horst, J. H., Szita, N. & Perrie, Y., 10 Feb 2019, In: International Journal of Pharmaceutics. 556, p. 68-81 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile92 Citations (Scopus)208 Downloads (Pure)