Data Fusion of UV-Vis and FTIR Spectra Combined with Principal Component Analysis for Distinguishing of <i>Andrographis paniculata</i> Extracts Based on Cultivation Ages and Solvent Extraction

• Main Authors: Antonio Kautsar, Wulan Tri Wahyuni, Utami Dyah Syafitri, Syifa Muflihah, Nursifa Mawadah, Eti Rohaeti, Zulhan Arif, Bambang Prajogo, Muhammad Bachri Amran, Abdul Rohman, Mohamad Rafi
• Format: Article
• Language: English
• Published: Universitas Gadjah Mada 2021-04-01
• Series: Indonesian Journal of Chemistry
• Subjects: a. paniculata; data fusion; ftir; uv-vis; pca
• Online Access: https://jurnal.ugm.ac.id/ijc/article/view/60321
• ISSN: 1411-9420; 2460-1578

Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.