Rapid Determination of Rifampicin and Isoniazide Tablets Using Near Infrared Diffuse Reflectance Spectroscopy Combined with Partial Least Square

Near infrared diffuse reflectance spectroscopy combined with partial least square (NIRS-PLS) was applied to establishing calibration models for determining the contents of rifampicin and isoniazide in rifampicin and isoniazide tablets. The regression coefficient (R) by means of the model for determining the content of rifampicin is 0.992 77, the root mean square error of cross-calibration (RMSECV) is 0.006 65, the R by means of the model for determining the content of isoniazide is 0.989 01, and the RMSECV is 0.004 23. Using these models for predicting the contents of rifampicin and isoniazide in validation set, the root mean square error of prediction (RMSEP) are 0.005 73 and 0.003 79. These results demonstrate that this method possesses high precision of prediction. The average recoveries are 99.376% and 98.243% in the recovery experiments, and the relative standard deviation (RSD) are 0.679 3% and 0.639 8% in reappearance experiments. With its advantages of facility, rapid, non-destruction, no pollution, on-line detection and good reappearance, this method must be popularized in situ measurement and in the on-line quality control for rifampicin and isoniazide tablets production.