Nondestructive and Quantitative Analysis of Isoniazid Tablets by Near Infrared Spectroscopy with PLS Regression

Near infrared diffuse reflectance spectroscopy combined with partial least square (NIRS-PLS) was applied to analyzing the isoniazid in isoniazid tablets quantitatively and establishing quantitative mathematical calibration models of NIRS. In these models, the root mean square error of cross-calibration (RMSECV) was 0.006 32. The root mean square error of prediction (RMSEP) was 0.006 03. The regression coefficient (R) was 0.994 56 and the average recovery of isoniazid was 99.772%. In reappearance experiments, the relative standard deviation (RSD) was 0.526%. These results demonstrate that this method is of precise validation. Moreover, it also has the merits of convenience, non-destruction, no pollution, good reappearance and is available for on-line detection.