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

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

doi:10.22146/ijc.60321

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

https://doi.org/10.22146/ijc.60321

Antonio Kautsar⁽¹⁾, Wulan Tri Wahyuni⁽²⁾, Utami Dyah Syafitri⁽³⁾, Syifa Muflihah⁽⁴⁾, Nursifa Mawadah⁽⁵⁾, Eti Rohaeti⁽⁶⁾, Zulhan Arif⁽⁷⁾, Bambang Prajogo⁽⁸⁾, Muhammad Bachri Amran⁽⁹⁾, Abdul Rohman⁽¹⁰⁾, Mohamad Rafi^(11*)

(1) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia; Tropical Biopharmaca Research Center- Institute of Research and Community Services, IPB University, Jl. Taman Kencana No. 3 Kampus IPB Taman Kencana, Bogor 16128, Indonesia
(2) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia; Tropical Biopharmaca Research Center- Institute of Research and Community Services, IPB University, Jl. Taman Kencana No. 3 Kampus IPB Taman Kencana, Bogor 16128, Indonesia
(3) Department of Statistics, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Meranti Kampus IPB Dramaga, Bogor 16680, Indonesia
(4) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia
(5) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia
(6) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia
(7) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia
(8) Department of Pharmacognosy and Phytochemistry, Faculty of Pharmacy, Universitas Airlangga, Jl. Mulyorejo Kampus C Unair, Surabaya 60286, Indonesia
(9) Analytical Chemistry Research Group, Institut Teknologi Bandung, Jl. Ganesha No 10, Bandung 40132, Indonesia
(10) Department of Pharmaceutical Chemistry Faculty of Pharmacy, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281, Indonesia
(11) Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia; Tropical Biopharmaca Research Center- Institute of Research and Community Services, IPB University, Jl. Taman Kencana No. 3 Kampus IPB Taman Kencana, Bogor 16128, Indonesia
(*) Corresponding Author

Abstract

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.

Keywords

A. paniculata; data fusion; FTIR; UV-Vis; PCA

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DOI: https://doi.org/10.22146/ijc.60321