Classification of aqueous-based ayurvedic preparations using synchronous fluorescence spectroscopy and chemometric techniques

The complexity of molecular compositions of ayurvedic preparations makes their classification or quality monitoring a difficult task. Classification of aqueous-based ayurvedic preparations with commonly used techniques such as Fourier transform infrared and near infrared spectroscopy is more difficult due to strong interferences from water signals. In the present work, by taking an aqueous-based ayurvedic preparation (jirakadyarista) as a test case, it has been shown that a simple, fast and efficient procedure for the classification of such preparations can be achieved by combining synchronous fluorescence spectroscopy with chemometric methods such as principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). The PCA and PLS-DA models obtained were found to be sensitive and specific in classifying the jirakadyarista samples.