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Neil Liam Andrew Forbes

Mr

20162020

Research output per year

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Projects

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 → 1/10/20

Project: Research Studentship - Internally Allocated

Research Output

Using microfluidics for scalable manufacturing of nanomedicines from bench to GMP: a case study using protein-loaded liposomes

Webb, C., Forbes, N., Roces, C. B., Anderluzzi, G., Lou, G., Abraham, S., Ingalls, L., Marshall, K., Leaver, T. J., Watts, J. A., Aylott, J. W. & Perrie, Y., 30 May 2020, In : International Journal of Pharmaceutics. 582, 12 p., 119266.

Research output: Contribution to journal › Article

    • 1 Citation (Scopus)

    Comparative analysis of protein quantification methods for the rapid determination of protein loading in liposomal formulations

    Hussain, M. T., Forbes, N. & Perrie, Y., 18 Jan 2019, In : Pharmaceutics. 11, 1, 16 p., 39.

    Research output: Contribution to journal › Article

    Open Access
    File
    • 4 Citations (Scopus)
    13 Downloads (Pure)

    Datasets

    Data for "Using microfluidics for scalable manufacturing of nanomedicines from bench to GMP: A case study using protein-loaded liposomes."

    Webb, C. (Creator), Forbes, N. L. A. (Creator), Roces Rodriguez, C. B. (Creator), Anderluzzi, G. (Creator), Lou Ramirez, G. (Creator), Abraham, S. (Creator), Ingalls, L. (Creator), Marshall, K. (Creator), Watts, J. (Creator), Aylott, J. (Creator), Perrie, Y. (Creator), University of Strathclyde, 7 Apr 2020

    DOI: 10.15129/91299007-146d-4b44-b1ad-cec8d309612c

    Dataset

    Data for: "The impact of solvent selection: strategies to guide the manufacturing of liposomes using microfluidics"

    Khadke, S. (Creator), Webb, C. (Creator), Schmidt, S. T. (Creator), Roces Rodriguez, C. B. (Creator), Forbes, N. L. A. (Creator), Berrie, G. A. (Creator), University of Strathclyde, 3 Dec 2019

    DOI: 10.15129/81b22c47-c133-41e9-86e5-8f8a45a4d443

    Dataset