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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References

[1] Valdiani, A., Kadir, M.A., Tan, S.G., Talei, D., Abdullah, M.P., and Nikzad S., 2012, Nain-e Havandi Andrographis paniculata present yesterday, absent today: A plenary review on underutilized herb of Iran pharmaceutical plants, Mol. Biol. Rep., 39 (5), 5409–5424.

[2] Tandon, C., Mathur, P., and Sen, M., 2015, Andrographis paniculata Nees (Kalmegh): A review on its antibacterial activities and phytocompounds, Eur. J. Med. Plants, 8 (1), 1–10.

[3] Elumalai, S., Banupriya, R., Sangeetha, T., and Madhumathi, S., 2016, Review on phytopharmacological activities of Andrographis paniculata (Burm. f.) Nees, Int. J. Pharm. Bio Sci., 7 (4), 183–200.

[4] Aneesh, A., George, A.J., Kariyil, B.J., Khrisna, D., and Sajitha, I.S., 2018, Phytochemical evaluation of Andrographis paniculata (L.), J. Pharmacogn. Phytochem., 7 (4), 1949–1953.

[5] Sajeeb, B.K., Kumar, U., Halder, S., and Bachar, S.C., 2015, Identification and quantification of andrographolide from Andrographis paniculata (Burm. f.) Wall. ex Nees by RP-HPLC method and standardization of its market preparations, Dhaka Univ. J. Pharm. Sci., 14 (1), 71–78.

[6] Yusof, N.A., Isha, A., Ismail, I.S., Khatib, A., Shaari, K., Abas, F., and Rukayadi, Y., 2015, Infrared-metabolomics approach in detecting changes in Andrographis paniculata metabolites due to different harvesting ages and times, J. Sci. Food Agric., 95 (12), 2533–2543.

[7] Brinckman J.A., 2013, Emerging importance of geographical indications and designations of origin - authenticating geo-authentic botanicals and implications for phytotherapy, Phytother. Res., 27 (11), 1581–1587.

[8] Kunle, O.F., Egharevba, H.O., and Ahmadu, P.O., 2012, Standardization of herbal medicines - A review, Int. J. Biodivers. Conserv., 4 (3), 101–112.

[9] Silvestri, M., Bertacchini, L., Durante, C., Marchetti, A., Salvatore, E., and Cocchi, M., 2013, Application of data fusion techniques to direct geographical traceability indicators, Anal. Chim. Acta, 769, 1–9.

[10] Lahat, D., Adali, T., and Jutten, C., 2015, Multimodal data fusion: An overview of methods, challenges, and prospects, Proc. IEEE, 103 (9), 1449–1477.

[11] Borràs, E., Ferré, J., Boqué, R., Mestres, M., Aceña, L., and Busto, O., 2015, Data fusion methodologies for food and beverage authentication and quality assessment - A review, Anal. Chim. Acta, 891, 1–14.

[12] Qi, L.M., Li, J.Q., Liu, H.G., Li, T., and Wang, Y.Z., 2018, An additional data fusion strategy for the discrimination of porcini mushrooms from different species and origins in combination with four mathematical algorithms, Food Funct., 9 (11), 5903–5911.

[13] Yao, S., Li, T., Liu, H., Li, J., and Wang, Y., 2017, Traceability of Boletaceae mushrooms using data fusion o UV-Vis and FTIR combined with chemometrics methods, J. Sci. Food Agric., 98 (6), 2215–2222.

[14] Li, Y., and Wang Y., 2018, Differentiation and comparison of Wolfiporia cocos raw materials based on multi-spectral information fusion and chemometric methods, Sci. Rep., 8 (1), 13043.

[15] Wu, X.M., Zuo, Z.T., Zhang, Q.Z., and Wang, Y.Z., 2018, FT-MIR and UV–vis data fusion strategy for origins discrimination of wild Paris Polyphylla Smith var. yunnanensis, Vib. Spectrosc., 96, 125–136.

[16] Li, X.P., Li, J., Liu, H., and Wang, Y.Z., 2020, A new analytical method for discrimination of species in Ganodermataceae mushrooms, Int. J. Food Prop., 23 (1), 227–240.

[17] Wang, C.Y., Tang, L., Jiang, T., Zhou, Q., Li, J., Wang, Y.Z., and Kong, C.H., 2021, Geographical traceability of Eucommia ulmoides leaves using attenuated total reflection Fourier transform infrared and ultraviolet-visible spectroscopy combined with chemometrics and data fusion, Ind. Crops Prod., 160, 113090.

[18] Cui, Y., Wang, Y., Ouyang, X., Han, Y., Zhu, H., and Chen, Q., 2009, Fingerprint profile of active component for Andrographis paniculata Nees by HPLC-DAD, Sens. Instrum. Food Qual. Saf., 3 (3), 165–179.

[19] Pandey, A.K., and Mandal, A.K., 2010, Variation in morphological characteristics and andrographolide content in Andrographis paniculata (Burm. f) Nees of Central India, Iran. J. Energy Environ., 1 (2), 165–169.

[20] Purwakusumah, E.D., Rafi, M., Safitri, U.D., Nurcholis, W., and Adzkiya, M.A.Z., 2014, Identifikasi dan autentikasi jahe merah menggunakan kombinasi spektroskopi FTIR dan kemometrik, Agritech, 34 (1), 82–87.

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