a novel method for simultaneous determination of codeine and acetaminophen in plasma by combination of uv-vis spectroscopy and artificial neural network

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.