Applying the taguchi method to optimize sumatriptan succinate niosomes as drug carriers for skin delivery

Niosomes formulated from different nonionic surfactants (Span® 60, Brij® 72, Span® 80, or Eumulgin® B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with respect to surfactant were prepared with different sumatriptan amount (10 and 15 mg) and stearylamine (SA). Thin‐film hydration method was em...

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Published inJournal of pharmaceutical sciences Vol. 101; no. 10; pp. 3845 - 3863
Main Authors González‐rodríguez, Maria Luisa, Mouram, Imane, Cózar‐bernal, Ma Jose, Villasmil, Sheila, Rabasco, Antonio M.
Format Journal Article
LanguageEnglish
Published Hoboken Elsevier Inc 01.10.2012
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Abstract Niosomes formulated from different nonionic surfactants (Span® 60, Brij® 72, Span® 80, or Eumulgin® B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with respect to surfactant were prepared with different sumatriptan amount (10 and 15 mg) and stearylamine (SA). Thin‐film hydration method was employed to produce the vesicles, and the time lapsed to hydrate the lipid film (1 or 24 h) was introduced as variable. These factors were selected as variables and their levels were introduced into two L18 orthogonal arrays. The aim was to optimize the manufacturing conditions by applying Taguchi methodology. Response variables were vesicle size, zeta potential (Z), and drug entrapment. From Taguchi analysis, drug concentration and the time until the hydration were the most influencing parameters on size, being the niosomes made with Span® 80 the smallest vesicles. The presence of SA into the vesicles had a relevant influence on Z values. All the factors except the surfactant–CH ratio had an influence on the encapsulation. Formulations were optimized by applying the marginal means methodology. Results obtained showed a good correlation between mean and signal‐to‐noise ratio parameters, indicating the feasibility of the robust methodology to optimize this formulation. Also, the extrusion process exerted a positive influence on the drug entrapment. © 2012 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 101:3845–3863, 2012
AbstractList Niosomes formulated from different nonionic surfactants (Span® 60, Brij® 72, Span® 80, or Eumulgin® B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with respect to surfactant were prepared with different sumatriptan amount (10 and 15 mg) and stearylamine (SA). Thin‐film hydration method was employed to produce the vesicles, and the time lapsed to hydrate the lipid film (1 or 24 h) was introduced as variable. These factors were selected as variables and their levels were introduced into two L18 orthogonal arrays. The aim was to optimize the manufacturing conditions by applying Taguchi methodology. Response variables were vesicle size, zeta potential (Z), and drug entrapment. From Taguchi analysis, drug concentration and the time until the hydration were the most influencing parameters on size, being the niosomes made with Span® 80 the smallest vesicles. The presence of SA into the vesicles had a relevant influence on Z values. All the factors except the surfactant–CH ratio had an influence on the encapsulation. Formulations were optimized by applying the marginal means methodology. Results obtained showed a good correlation between mean and signal‐to‐noise ratio parameters, indicating the feasibility of the robust methodology to optimize this formulation. Also, the extrusion process exerted a positive influence on the drug entrapment. © 2012 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 101:3845–3863, 2012
Niosomes formulated from different nonionic surfactants (Span® 60, Brij® 72, Span® 80, or Eumulgin® B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with respect to surfactant were prepared with different sumatriptan amount (10 and 15 mg) and stearylamine (SA). Thin-film hydration method was employed to produce the vesicles, and the time lapsed to hydrate the lipid film (1 or 24 h) was introduced as variable. These factors were selected as variables and their levels were introduced into two L18 orthogonal arrays. The aim was to optimize the manufacturing conditions by applying Taguchi methodology. Response variables were vesicle size, zeta potential (Z), and drug entrapment. From Taguchi analysis, drug concentration and the time until the hydration were the most influencing parameters on size, being the niosomes made with Span® 80 the smallest vesicles. The presence of SA into the vesicles had a relevant influence on Z values. All the factors except the surfactant-CH ratio had an influence on the encapsulation. Formulations were optimized by applying the marginal means methodology. Results obtained showed a good correlation between mean and signal-to-noise ratio parameters, indicating the feasibility of the robust methodology to optimize this formulation. Also, the extrusion process exerted a positive influence on the drug entrapment.
Niosomes formulated from different nonionic surfactants (Span 60, Brij 72, Span 80, or Eumulgin B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with respect to surfactant were prepared with different sumatriptan amount (10 and 15mg) and stearylamine (SA). Thin-film hydration method was employed to produce the vesicles, and the time lapsed to hydrate the lipid film (1 or 24h) was introduced as variable. These factors were selected as variables and their levels were introduced into two L18 orthogonal arrays. The aim was to optimize the manufacturing conditions by applying Taguchi methodology. Response variables were vesicle size, zeta potential (Z), and drug entrapment. From Taguchi analysis, drug concentration and the time until the hydration were the most influencing parameters on size, being the niosomes made with Span 80 the smallest vesicles. The presence of SA into the vesicles had a relevant influence on Z values. All the factors except the surfactant-CH ratio had an influence on the encapsulation. Formulations were optimized by applying the marginal means methodology. Results obtained showed a good correlation between mean and signal-to-noise ratio parameters, indicating the feasibility of the robust methodology to optimize this formulation. Also, the extrusion process exerted a positive influence on the drug entrapment. © 2012 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 101:3845-3863, 2012 [PUBLICATION ABSTRACT]
Author Villasmil, Sheila
Mouram, Imane
Rabasco, Antonio M.
Cózar‐bernal, Ma Jose
González‐rodríguez, Maria Luisa
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  givenname: Ma Jose
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Issue 10
Keywords surfactants
liposomes
cationic lipids
transdermal drug delivery
extrusion
skin
factorial design
light scattering (dynamic)
HPLC (high‐performance/pressure liquid chromatography)
permeation enhancers
Performance evaluation
Agonist
Sumatriptan
HPLC chromatography
Lipids
Drug carrier
5-HT1 Serotonine receptor
Serotonin agonist
Surfactant
Niosome
HPLC (high-performance/pressure liquid chromatography)
Percutaneous route
Triptan derivatives
Taguchi method
Pharmaceutical technology
Antimigrainous agent
Light scattering
Liposome
Liquid chromatography
High pressure
Extrusion
Cations
Skin
Absorption enhancer
Performance
Factorial design
Language English
License CC BY 4.0
Copyright © 2012 Wiley Periodicals, Inc.
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2007; I
1994; 105
2010; 1
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1996; 132
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2010; 7
1998; 14
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2007; 328
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1995; 58
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2009; 377
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2011; 79
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Snippet Niosomes formulated from different nonionic surfactants (Span® 60, Brij® 72, Span® 80, or Eumulgin® B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with...
Niosomes formulated from different nonionic surfactants (Span 60, Brij 72, Span 80, or Eumulgin B 2) with cholesterol (CH) molar ratios of 3:1 or 4:1 with...
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SubjectTerms Administration, Cutaneous
Biological and medical sciences
cationic lipids
Chemistry, Pharmaceutical - methods
Cholesterol - administration & dosage
Cholesterol - chemistry
Drug Carriers - administration & dosage
Drug Carriers - chemistry
Drug Delivery Systems - methods
Drug Stability
extrusion
factorial design
General pharmacology
HPLC (high‐performance/pressure liquid chromatography)
light scattering (dynamic)
liposomes
Liposomes - administration & dosage
Liposomes - chemistry
Medical sciences
Particle Size
permeation enhancers
Pharmaceutical technology. Pharmaceutical industry
Pharmacology. Drug treatments
Signal-To-Noise Ratio
skin
Skin - metabolism
Solubility
Sumatriptan - administration & dosage
Sumatriptan - chemistry
Surface-Active Agents - administration & dosage
Surface-Active Agents - chemistry
surfactants
transdermal drug delivery
Title Applying the taguchi method to optimize sumatriptan succinate niosomes as drug carriers for skin delivery
URI https://dx.doi.org/10.1002/jps.23252
https://api.istex.fr/ark:/67375/WNG-93FZZ5XK-K/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjps.23252
https://www.ncbi.nlm.nih.gov/pubmed/22806266
https://www.proquest.com/docview/1517388231
Volume 101
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