Fourier Transform Infrared (FT-IR) Spectroscopy for discrimination of Rhizoma gastrodiae (Tianma) from different producing areas

AbstractBackground Rhizoma gastrodiae (Tianma) from different producing areas have vital difference in quality and physiological efficacy. This study focused on the classification and identification of Tianma from different producing areas using Fourier Transform Infrared (FT-IR) Spectroscopy coupled with chemometrics. Frequencies at 1800–600 cm−1 were exploited for both classification and identification. Principal component analysis (PCA) and Partial least squares-Discriminant analysis (PLS-DA) were used for classification and identification analysis of Tianma from different producing areas. s r Transform Infrared (FT-IR) Spectroscopy coupled with Principal component analysis (PCA) and Partial least squares-Discriminant analysis (PLS-DA) can successfully classify and identify Tianma from different producing areas. sion together, the proposed methodology is a useful tool to identify Tianma from different producing areas.