DocumentCode :
1969880
Title :
Predicting drug contents of hydroxypropylmethylcellulose films using Artificial Neural Network
Author :
Alias, Afishah ; Taib, M.N. ; Wong Tin Wui ; Anuar, N.K. ; Tahir, Nooritawati Md
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam
fYear :
2009
fDate :
6-8 March 2009
Firstpage :
337
Lastpage :
339
Abstract :
The aim of this study is to investigate artificial neural network (ANN) for prediction of drug contents. Hydroxypropylmethylcellulose and loratadine specifically were selected as model matrix polymer and drug. All 0, 5, 10, 20 and 40 mg drug loaded in hydroxypropylmethylcellulose films were conditioned at the relative humidity of 25, 50 and 75% each prior to psysicochemical characterization using microwave non-destructive testing (NDT) technique. Forward reflection coefficient magnitude S11 produced by microwave NDT technique along with the relative humidity were utilized as inputs to the ANN model with the value of drug contents as output. Initial results showed that an accuracy of 86% is achieved using ANN for prediction of drug contents.
Keywords :
drug delivery systems; microwaves; neural nets; nondestructive testing; polymers; artificial neural network; drug content prediction; hydroxypropylmethylcellulose films; loratadine; microwave nondestructive testing technique; model matrix polymer; psysicochemical characterization; Artificial neural networks; Dielectric measurements; Drugs; Electromagnetic scattering; Frequency; Humidity; Microwave theory and techniques; Nondestructive testing; Polymers; Skin; Artificial Neural Network (ANN); Microwave non-destructive testing technique; drug content;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing & Its Applications, 2009. CSPA 2009. 5th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-4151-8
Type :
conf
DOI :
10.1109/CSPA.2009.5069246
Filename :
5069246
Link To Document :
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