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RESEARCH ARTICLE
Year : 2014  |  Volume : 3  |  Issue : 2  |  Page : 141-158

A novel method for simultaneous determination of codeine and acetaminophen in plasma by combination of UVVis spectroscopy and artificial neural network


1 Novel Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran
2 Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
3 Nano Drug Delivery Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
4 Department of Pharmaceutics, Faculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran

Correspondence Address:
Mohsen Shahlaei
Novel Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah
Iran
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Source of Support: None, Conflict of Interest: None


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A sensitive and selective method using combination of principal component analysis (PCA), artificial neural network (ANN) and UV-Visible spectroscopy has been developed for the simultaneous determination of acetaminophen (AMP) and codeine (COD) in plasma samples. The ANN trained by the back-propagation learning was employed to model the complex non-linear relationship between the PCs extracted from UV-visible spectra of medications and the absorbance values. Optimal ANN model were as follows: Number of input PCs: 6, number of neurons in hidden layer: 5. The linear calibration range was 10-70 μg ml-1 and 40-700 μg ml-1, and the detection limit were 0.3 μg ml-1 and 1.3 μg ml-1, for AMP and COD, respectively. The results have been compared with those obtained by the HPLC method.


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