Determination of Norfloxacin in Capsules Using Near Infrared Diffuse Reflectance Spectrophotometry
Jia Nuan
Abstract
Jia Nuan
Abstract
Objective:L Near infrared diffuse reflectance spectrophotometry ( NIRDRS) and chemometrics were applied to the determination of norfloxacin in capsules. Methods: PLS (partial least squares) regression models were set up using a calibration set (30 samples). The validation set was set up by 10 samples. Applying this model to predict the validation set and detect the samples. Results: The determination cofficients R2 is 99. 70 as indicated from the cross - validation, the true mean predictive error RMSECV (root mean square error of cross validation) is 0. 203, PRESS is 1. 447. The mean prediction error RMSEP (root mean square error of prediction) obtained from the validation is 0. 602, the correlation coefficient of the true value and prediction value is 0. 9948. Conclusions: NIRDRS permits quantitative non - destructive determinations of the active constituents in pharmaceutical preparations with little or even no sample treatment. NIRDRS method is faster and easier than other methods.
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Objective:L Near infrared diffuse reflectance spectrophotometry ( NIRDRS) and chemometrics were applied to the determination of norfloxacin in capsules. Methods: PLS (partial least squares) regression models were set up using a calibration set (30 samples). The validation set was set up by 10 samples. Applying this model to predict the validation set and detect the samples. Results: The determination cofficients R2 is 99. 70 as indicated from the cross - validation, the true mean predictive error RMSECV (root mean square error of cross validation) is 0. 203, PRESS is 1. 447. The mean prediction error RMSEP (root mean square error of prediction) obtained from the validation is 0. 602, the correlation coefficient of the true value and prediction value is 0. 9948. Conclusions: NIRDRS permits quantitative non - destructive determinations of the active constituents in pharmaceutical preparations with little or even no sample treatment. NIRDRS method is faster and easier than other methods.
Key concepts: Partial least squares regression, Chemometrics, Mean squared error, Chemistry, Diffuse reflectance infrared fourier transform, Correlation coefficient, Calibration, Analytical Chemistry (journal)