Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function. / Holm, R.; Jensen, I.H.M.; Sonnergaard, Jørn.

In: Drug Development and Industrial Pharmacy, Vol. 32, No. 9, 01.10.2006, p. 1025-1032.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Holm, R, Jensen, IHM & Sonnergaard, J 2006, 'Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function', Drug Development and Industrial Pharmacy, vol. 32, no. 9, pp. 1025-1032. https://doi.org/10.1080/03639040600559024

APA

Holm, R., Jensen, I. H. M., & Sonnergaard, J. (2006). Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function. Drug Development and Industrial Pharmacy, 32(9), 1025-1032. https://doi.org/10.1080/03639040600559024

Vancouver

Holm R, Jensen IHM, Sonnergaard J. Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function. Drug Development and Industrial Pharmacy. 2006 Oct 1;32(9):1025-1032. https://doi.org/10.1080/03639040600559024

Author

Holm, R. ; Jensen, I.H.M. ; Sonnergaard, Jørn. / Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function. In: Drug Development and Industrial Pharmacy. 2006 ; Vol. 32, No. 9. pp. 1025-1032.

Bibtex

@article{bad7766b2ae249e8ab13b349bf7c1dc7,
title = "Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function",
abstract = "D-optimal design and the desirability function were applied to optimize a self-microemulsifying drug delivery system (SMEDDS). The optimized key parameters were the following: 1) particle size of the dispersed emulsion, 2) solubility of the drug in the vehicle, and 3) the vehicle compatibility with the hard gelatin capsule. Three formulation variables, PEG200, a surfactant mixture, and an oil mixture, were included in the experimental design. The results of the mathematical analysis of the data demonstrated significant interactions among the formulation variables, and the desirability function was demonstrated to be a powerful tool to predict the optimal formulation for the explored system.",
author = "R. Holm and I.H.M. Jensen and J{\o}rn Sonnergaard",
year = "2006",
month = oct,
day = "1",
doi = "10.1080/03639040600559024",
language = "English",
volume = "32",
pages = "1025--1032",
journal = "Drug Development and Industrial Pharmacy",
issn = "0363-9045",
publisher = "Taylor & Francis",
number = "9",

}

RIS

TY - JOUR

T1 - Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function

AU - Holm, R.

AU - Jensen, I.H.M.

AU - Sonnergaard, Jørn

PY - 2006/10/1

Y1 - 2006/10/1

N2 - D-optimal design and the desirability function were applied to optimize a self-microemulsifying drug delivery system (SMEDDS). The optimized key parameters were the following: 1) particle size of the dispersed emulsion, 2) solubility of the drug in the vehicle, and 3) the vehicle compatibility with the hard gelatin capsule. Three formulation variables, PEG200, a surfactant mixture, and an oil mixture, were included in the experimental design. The results of the mathematical analysis of the data demonstrated significant interactions among the formulation variables, and the desirability function was demonstrated to be a powerful tool to predict the optimal formulation for the explored system.

AB - D-optimal design and the desirability function were applied to optimize a self-microemulsifying drug delivery system (SMEDDS). The optimized key parameters were the following: 1) particle size of the dispersed emulsion, 2) solubility of the drug in the vehicle, and 3) the vehicle compatibility with the hard gelatin capsule. Three formulation variables, PEG200, a surfactant mixture, and an oil mixture, were included in the experimental design. The results of the mathematical analysis of the data demonstrated significant interactions among the formulation variables, and the desirability function was demonstrated to be a powerful tool to predict the optimal formulation for the explored system.

UR - http://www.scopus.com/inward/record.url?scp=33749454734&partnerID=8YFLogxK

U2 - 10.1080/03639040600559024

DO - 10.1080/03639040600559024

M3 - Journal article

C2 - 17012115

AN - SCOPUS:33749454734

VL - 32

SP - 1025

EP - 1032

JO - Drug Development and Industrial Pharmacy

JF - Drug Development and Industrial Pharmacy

SN - 0363-9045

IS - 9

ER -

ID: 62943913