Quality by Design Coupled with Near Infrared in Formulation of Transdermal Glimepiride Liposomal Films

This study is aimed at developing glimepiride (GMD) liposomal films using quality by design (QbD) and process analytical technology (PAT) principles. Risk analysis and Plackett–Burman design were utilized to evaluate formulation variables in two paths. Internal path included liposomal parameters (ph...

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Veröffentlicht in:Journal of pharmaceutical sciences 2015-06, Vol.104 (6), p.2062-2075
Hauptverfasser: Ahmed, Osama Abdelhakim Aly, Kurakula, Mallesh, Banjar, Zainy Mohamed, Afouna, Mohsen Ibrahim, Zidan, Ahmed Samir
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container_end_page 2075
container_issue 6
container_start_page 2062
container_title Journal of pharmaceutical sciences
container_volume 104
creator Ahmed, Osama Abdelhakim Aly
Kurakula, Mallesh
Banjar, Zainy Mohamed
Afouna, Mohsen Ibrahim
Zidan, Ahmed Samir
description This study is aimed at developing glimepiride (GMD) liposomal films using quality by design (QbD) and process analytical technology (PAT) principles. Risk analysis and Plackett–Burman design were utilized to evaluate formulation variables in two paths. Internal path included liposomal parameters (phosphatidylserine, cholesterol and drug concentrations, and pH of hydration medium). External path constituted films parameters, namely, polymer, plasticizer, and permeation enhancer percentages. As a PAT tool, near infrared (NIR)-based chemometric analysis was used in quantifying GMD contents. Liposomal formulations showed maximum GMD entrapment capacity of 41.9% with vesicular size of 0.51μm at phospholipid to cholesterol to drug weight ratio of 2:1:0.8. Its transdermal films showed elongation ratio of 75%, folding endurance of 700-fold, 16.6% and 26.8% drug release after 1 and 12h, respectively. Moreover, 3D response spaces for GMD entrapment and release characteristics were established. Regarding NIR analysis, partial-least-square regression model was accurate in quantifying drug content as indicated by the low root-mean-squared error of calibrations and prediction of 0.031 and 0.032, and bias values of 0.0015 and 0.0021, respectively. In conclusion, this study highlights the level of understanding that can be accomplished through a well-designed research based on QbD and PAT paradigms.
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Risk analysis and Plackett–Burman design were utilized to evaluate formulation variables in two paths. Internal path included liposomal parameters (phosphatidylserine, cholesterol and drug concentrations, and pH of hydration medium). External path constituted films parameters, namely, polymer, plasticizer, and permeation enhancer percentages. As a PAT tool, near infrared (NIR)-based chemometric analysis was used in quantifying GMD contents. Liposomal formulations showed maximum GMD entrapment capacity of 41.9% with vesicular size of 0.51μm at phospholipid to cholesterol to drug weight ratio of 2:1:0.8. Its transdermal films showed elongation ratio of 75%, folding endurance of 700-fold, 16.6% and 26.8% drug release after 1 and 12h, respectively. Moreover, 3D response spaces for GMD entrapment and release characteristics were established. Regarding NIR analysis, partial-least-square regression model was accurate in quantifying drug content as indicated by the low root-mean-squared error of calibrations and prediction of 0.031 and 0.032, and bias values of 0.0015 and 0.0021, respectively. 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Risk analysis and Plackett–Burman design were utilized to evaluate formulation variables in two paths. Internal path included liposomal parameters (phosphatidylserine, cholesterol and drug concentrations, and pH of hydration medium). External path constituted films parameters, namely, polymer, plasticizer, and permeation enhancer percentages. As a PAT tool, near infrared (NIR)-based chemometric analysis was used in quantifying GMD contents. Liposomal formulations showed maximum GMD entrapment capacity of 41.9% with vesicular size of 0.51μm at phospholipid to cholesterol to drug weight ratio of 2:1:0.8. Its transdermal films showed elongation ratio of 75%, folding endurance of 700-fold, 16.6% and 26.8% drug release after 1 and 12h, respectively. Moreover, 3D response spaces for GMD entrapment and release characteristics were established. Regarding NIR analysis, partial-least-square regression model was accurate in quantifying drug content as indicated by the low root-mean-squared error of calibrations and prediction of 0.031 and 0.032, and bias values of 0.0015 and 0.0021, respectively. 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subjects Administration, Cutaneous
Cholesterol - chemistry
Drug Delivery Systems
Formulation
glimepiride
Humans
Hypoglycemic Agents - administration & dosage
Infrared spectroscopy
liposomes
Liposomes - chemistry
NIR
Percutaneous
Phosphatidylserines - chemistry
Placket–Burmann design
Skin - metabolism
Spectrophotometry, Infrared
Sulfonylurea Compounds - administration & dosage
Transdermal drug delivery
transdermal film
Transdermal Patch
title Quality by Design Coupled with Near Infrared in Formulation of Transdermal Glimepiride Liposomal Films
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