Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias

Assessment of drug content and matric characteristics, such as state of polymerpolymer and drug-polymer interaction are utmost important with respect the therapeutic effectiveness of transdermal drug delivery system. Conventional methods for analysis result in sample being unrecoverable from test, d...

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Main Author:	Alias, Aznida
Format:	Thesis
Language:	English
Published:	2017
Online Access:	https://ir.uitm.edu.my/id/eprint/93345/1/93345.pdf
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spelling	my-uitm-ir.933452024-09-09T07:56:55Z Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias 2017 Alias, Aznida Assessment of drug content and matric characteristics, such as state of polymerpolymer and drug-polymer interaction are utmost important with respect the therapeutic effectiveness of transdermal drug delivery system. Conventional methods for analysis result in sample being unrecoverable from test, disposal of a large amount of solvents, reagents and accessories, as well as, restrict the analysis to statistically selected samples. This thesis present a new technique in drug content and drug concentration assessment of nifedipine and hyroxypropylmethyl cellulose films with 25%, 50% and 75% relative humidity using nondestructive testing technique of Visible Spectrophotometry. The crossed study of the polymeric films by Differential Scanning Calorimetry, Fourier Transform Infrared Spectroscopy, Ultraviolet Spectrophotometry and Visible Spectrophotometry indicated physicochemical changes as the drug and polymer varied. The significant wavelength and intensity of visible spectrophotometry associated with different polymeric films and relative humidity were determined. Correlation study of drug concentration from visible spectrophotometry and drug content were done using artificial neural network. This intelligent technique have presented the reliability of Visible Spectrophotometry in detecting drug content and identifying drug concentration at minimum and maximum of 0 to 20mg and 0 to 32.11 %w/w respectively. 2017 Thesis https://ir.uitm.edu.my/id/eprint/93345/ https://ir.uitm.edu.my/id/eprint/93345/1/93345.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Taib, Mohd. Nasir
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Taib, Mohd. Nasir
description	Assessment of drug content and matric characteristics, such as state of polymerpolymer and drug-polymer interaction are utmost important with respect the therapeutic effectiveness of transdermal drug delivery system. Conventional methods for analysis result in sample being unrecoverable from test, disposal of a large amount of solvents, reagents and accessories, as well as, restrict the analysis to statistically selected samples. This thesis present a new technique in drug content and drug concentration assessment of nifedipine and hyroxypropylmethyl cellulose films with 25%, 50% and 75% relative humidity using nondestructive testing technique of Visible Spectrophotometry. The crossed study of the polymeric films by Differential Scanning Calorimetry, Fourier Transform Infrared Spectroscopy, Ultraviolet Spectrophotometry and Visible Spectrophotometry indicated physicochemical changes as the drug and polymer varied. The significant wavelength and intensity of visible spectrophotometry associated with different polymeric films and relative humidity were determined. Correlation study of drug concentration from visible spectrophotometry and drug content were done using artificial neural network. This intelligent technique have presented the reliability of Visible Spectrophotometry in detecting drug content and identifying drug concentration at minimum and maximum of 0 to 20mg and 0 to 32.11 %w/w respectively.
format	Thesis
qualification_level	Master's degree
author	Alias, Aznida
spellingShingle	Alias, Aznida Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias
author_facet	Alias, Aznida
author_sort	Alias, Aznida
title	Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias
title_short	Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias
title_full	Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias
title_fullStr	Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias
title_full_unstemmed	Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias
title_sort	characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / aznida alias
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/93345/1/93345.pdf
_version_	1811768768306610176

Characterization of transdermal drug delivery using nondestructive visible spectrophotometry and artificial neural network / Aznida Alias

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