Evaluating the Performance of Detergent Powder Formulations Containing Nano Alumina Using Diffuse Reflectance Infrared Spectroscopy and Pattern Recognition Techniques

An analytical method has been introduced based on diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) coupled with pattern recognition techniques to determine the efficiency of various detergent powder formulations containing nano alumina. In order to reach this aim, different multivariate classification methods such as principal component analysis, hierarchical cluster analysis and linear discriminate analysis (LDA) were utilized for diffuse reflectance spectra to evaluate the classification approach. The best model was predicted by LDA, with a correct classification rate (%CC) of 93.55 %. Furthermore, sensitivity and specificity for the test set were 0.90 and 0.95, respectively. These results confirm the capability of DRIFTS coupled with chemometric techniques for estimating the performance of detergent powder formulations containing nano alumina.