| Summary: | Gambir leaf (Uncaria gambir Roxb) has potential as an antidiabetic through the inhibition of α-glucosidase and amylase enzymes. However, natural extracts have disadvantages such as solubility, stability, and bioavailability. Therefore, gambir leaf extract was formulated to be self-nano emulsifying (GE-SNE) with several different concentrations of constituent components (12 formulas). Several GE-SNE formulas were evaluated using a Fourier Transform Infrared (FTIR) Spectrophotometer to classify spectral patterns. The absorbance value of the wavenumber that appears in all GE-SNE was analyzed using a chemometric approach. In chemometric analysis, fingerprints have a broad influence on the results of the spectrum of gambir leaf extract and self-emulsifying formulations. The classification results provide helpful information in the development and optimization of GE-SNE. Different concentrations of GE-SNE affect the viscosity and specific gravity of each formula. In addition, there are differences in the group of variables in the chemometric analysis based on the similarity of properties. FTIR-ATR combined with chemometric analysis can classify GE-SNE based on differences in their composition. © 2022 by the authors.
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