Fingerprint Metabolite of Miana (Coleus sp.) Leaf Infusion and Juice: Authentication Based on FTIR Spectroscopy and Multivariate Analysis

https://doi.org/10.22146/agritech.88706

Reny Syahruni(1), Abd. Halim Umar(2*), Lois Christfani Matasik(3)

(1) Division of Pharmaceutical Biology, Faculty of Health Sciences, Almarisah Madani University, Jalan Perintis Kemerdekaan Km. 13.7 Daya, Makassar, South Sulawesi 90242
(2) Division of Pharmaceutical Biology, Faculty of Health Sciences, Almarisah Madani University, Jalan Perintis Kemerdekaan Km. 13.7 Daya, Makassar, South Sulawesi 90242
(3) Division of Pharmaceutical Biology, Faculty of Health Sciences, Almarisah Madani University, Jalan Perintis Kemerdekaan Km. 13.7 Daya, Makassar, South Sulawesi 90242
(*) Corresponding Author

Abstract


Miana (Coleus sp.) is a plant belonging to the Lamiaceae family and has been widely used in traditional medicine. Despite the potential of the plant, the quality and quantity of chemical components that can be extracted are dependent on various factors, such as varieties and extraction techniques. Therefore, this study aimed to discriminate miana based on varieties and extraction techniques as well as identify its marker functional groups. The 4 different leaf varieties of the plant, including purple, green, batik, and color combination were extracted using the infusion method, both with and without the addition of water. FTIR (Fourier transform infrared) fingerprint metabolite of each extract was then analyzed with IRPal 2.0 software for functional group interpretation and multivariate data analysis (PCA and PLS-DA) using MetaboAnalyst 5.0. The results showed that the chromatogram profile of all varieties and extraction techniques had similar patterns. The PCA (principal component analysis) score plot yielded a total PC value of 98.5%, which could effectively discriminate the samples. In addition, the O–H group’s VIP score value (greater than 1) was a significant functional group that characterized the samples. Based on these results, the combination of FTIR spectroscopy and multivariate analysis could be used to discriminate miana based on varieties and extraction techniques, as well as identify functional groups serving as marker.


Keywords


Chemometrics; Coleus sp.; extraction; FTIR; fingerprint metabolite

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References

AgroMedia, R. (2008). Buku Pintar Tanaman Obat: 431 jenis tanaman penggempur aneka penyakit. PT. AgroMedia.

Aouidi, F., Dupuy, N., Artaud, J., Roussos, S., Msallem, M., Perraud-Gaime, I., & Hamdi, M. (2012). Discrimination of five Tunisian cultivars by mid infrared spectroscopy combined with chemometric analyses of olive Olea europaea leaves. Food Chemistry, 131(1), 360–366. https://doi.org/10.1016/j.foodchem.2011.08.041

Auliawan, R., & Cahyono, B. (2015). Efek hidrolisis ekstrak daun iler (Coleus scutellarioides) terhadap aktivitas inhibisi enzim α-glukosidase. Jurnal Sains dan Matematika, 22(1), 15–19. https://ejournal.undip.ac.id/index.php/sm/article/view/8052

Basile, B., Mataffo, A., Forlani, M., & Corrado, G. (2022). Diversity in morphometric, pomological, and fruit-quality traits of apricot (Prunus armeniaca) traditional varieties: Implications for landrace differentiation at regional scale. Diversity, 14(8), 608. https://doi.org/10.3390/d14080608

Cai, J., Wang, Y., Xi, X., Li, H., & Wei, X. (2015). Using FTIR spectra and pattern recognition for discrimination of tea varieties. International Journal of Biological Macromolecules, 78, 439–446. https://doi.org/10.1016/j.ijbiomac.2015.03.025

Di Donato, F., Di Cecco, V., Torricelli, R., D’Archivio, A. A., Di Santo, M., Albertini, E., Veronesi, F., Garramone, R., Aversano, R., Marcantonio, G., & Di Martino, L. (2020). Discrimination of potato (Solanum tuberosum L.) accessions collected in Majella National Park (Abruzzo, Italy) using mid-infrared spectroscopy and chemometrics combined with morphological and molecular analysis. Applied Sciences, 10(5), 1630. https://doi.org/10.3390/app10051630

Falcioni, R., Moriwaki, T., Gibin, M. S., Vollmann, A., Pattaro, M. C., Giacomelli, M. E., Sato, F., Nanni, M. R., & Antunes, W. C. (2022). Classification and prediction by pigment content in lettuce (Lactuca sativa L.) varieties using machine learning and ATR-FTIR spectroscopy. Plants, 11(24), 3413. https://doi.org/10.3390/plants11243413

Francik, S., Francik, R., Sadowska, U., Bystrowska, B., Zawiślak, A., Knapczyk, A., & Nzeyimana, A. (2020). Identification of phenolic compounds and determination of antioxidant activity in extracts and infusions of Salvia leaves. Materials, 13(24), 5811. https://doi.org/10.3390/ma13245811

Giang, L. T., Trung, P. Q., & Yen, D. H. (2020). Identification of rice varieties specialties in Vietnam using Raman spectroscopy. Vietnam Journal of Chemistry, 58(6), 711–718. https://doi.org/10.1002/vjch.202000017

Haryanti, E. S., Diba, F., & Wahdina, W. (2015). Etnobotani tumbuhan berguna oleh masyarakat sekitar KPH model Kapuas Hulu (Studi kasus Desa Tamao, Kecamatan Embaloh Hulu Kalimantan Barat). Jurnal Hutan Lestari, 3(3), 434–445. https://doi.org/10.26418/jhl.v3i3.11370

Hidayat, S., Hikmat, A., & Zuhud, E. A. M. (2016). Kajian etnobotani masyarakat kampung adat Dukuh Kabupaten Garut, Jawa Barat. Media Konservasi, 15(3), 139–151. https://doi.org/10.29244/medkon.15.3.%p

Kucharska-Ambrożej, K., & Karpinska, J. (2020). The application of spectroscopic techniques in combination with chemometrics for detection adulteration of some herbs and spices. Microchemical Journal, 153, 104278. https://doi.org/10.1016/j.microc.2019.104278

Kucharska-Ambrożej, K., Martyna, A., Karpińska, J., Kiełtyka-Dadasiewicz, A., & Kubat-Sikorska, A. (2021). Quality control of mint species based on UV-VIS and FTIR spectral data supported by chemometric tools. Food Control, 129, 108228. https://doi.org/10.1016/j.foodcont.2021.108228

Kusumawati, D. E., Pasaribu, F. H., & Bintang, M. (2014). Aktivitas antibakteri isolat bakteri endofit dari tanaman miana (Coleus scutellariodes [L.] Benth.) terhadap Staphylococcus aureus dan Escherichia coli. Journal Current Biochemistry, 1(1), 40–45.

Lestari, N. B., Sulistyaningsih, Y. C., Umar, A. H., & Ratnadewi, D. (2024). Distribution and FTIR-based fingerprint of secondary metabolites in different organs of ant-plant (Myrmecodia tuberosa). Biodiversitas Journal of Biological Diversity, 25(3). https://doi.org/10.13057/biodiv/d250325

Marpaung, P. N. S., Wullur, A. C., & Yamlean, P. V. Y. (2014). Uji efektivitas sediaan salep daun miana (Coleus scutellarioides [L] Benth.) untuk pengobatan luka yang terinfeksi bakteri Staphylococcus aureus pada kelinci (Oryctolagus cuniculus). Pharmacon, 3(3). https://doi.org/10.35799/pha.3.2014.5360

Noviany, N., Amrulloh, M. H., Rafi, M., Irawan, B., Kusuma, W. A., Hadi, S., Supriyanto, R., Nofiani, R., Hussin, M. H., & Yuwono, S. D. (2023). FTIR-based metabolomics for characterization of antioxidant activity of different parts of Sesbania grandiflora plant. Sains Malaysiana, 52(1), 165–174. https://doi.org/10.17576/jsm-2023-5201-13

Purwakusumah, E. D., Rafi, M., Safitri, U. D., Nurcholis, W., & Adzkiya, M. A. Z. (2014). Identifikasi dan autentikasi jahe merah menggunakan kombinasi spektroskopi FTIR dan kemometrik. agriTECH, 34(1), 82–87. https://doi.org/10.22146/agritech.9526

Pusat Studi Biofarmaka LPPM IPB, & Gagas Ulung. (2014). Sehat Alami dengan Herbal: 250 Tanaman Berkhasiat Obat +60 Resep Menu Kesehatan. PT. Gramedia Pustaka Utama.

Puspitasari, L., Mareta, S., & Thalib, A. (2021). Karakterisasi senyawa kimia daun mint (Mentha sp.) dengan metode FTIR dan kemometrik. Sainstech Farma, 14(1), 5–11. https://doi.org/10.37277/sfj.v14i1.931

Rafi, M., Hayati, F., Umar, A. H., Septaningsih, D. A., & Rachmatiah, T. (2023). LC-HRMS-based metabolomics to evaluate the phytochemical profile and antioxidant capacity of Cosmos caudatus with different extraction methods and solvents. Arabian Journal of Chemistry, 16(9), 105065. https://doi.org/10.1016/j.arabjc.2023.105065

Rahmani, N., & Mani-Varnosfaderani, A. (2022). Quality control, classification, and authentication of Iranian rice varieties using FT-IR spectroscopy and sparse chemometric methods. Journal of Food Composition and Analysis, 112, 104650. https://doi.org/10.1016/j.jfca.2022.104650

Rohman, A., Gupitasari, I., Purwanto, P., Triyana, K., Rosman, A. S., Ahmad, S. A. S., & Yusof, F. M. (2014). Quantification of lard in the mixture with olive oil in cream cosmetics based on FTIR spectra and chemometrics for halal authentication. Jurnal Teknologi, 69(1), 113–119. https://doi.org/10.11113/jt.v69.2062

Sun, S., Chen, J., Zhou, Q., Lu, G., & Chan, K. (2010). Application of mid-infrared spectroscopy in the quality control of traditional chinese medicines. Planta Medica, 76(17), 1987–1996. https://doi.org/10.1055/s-0030-1250520

Suswita, D. (2013). Studi etnobotani dan bentuk upaya pelestarian tumbuhan yang digunakan dalam upacara adat Kenduri SKO di beberapa kecamatan di Kabupaten Kerinci, Jambi [Thesis]. Universitas Andalas.

Umar, A. H., Ratnadewi, D., Rafi, M., & Sulistyaningsih, Y. C. (2021). Untargeted metabolomics analysis using FTIR and UHPLC-Q-Orbitrap HRMS of two Curculigo species and evaluation of their antioxidant and α-glucosidase inhibitory activities. Metabolites, 11(1), 42. https://doi.org/10.3390/metabo11010042

Umar, A. H., Ratnadewi, D., Rafi, M., Sulistyaningsih, Y. C., & Hamim, H. (2023). Phenolics profile and antioxidant activities of in vitro propagules and field-raised plant organs of Curculigo latifolia. Journal of Applied Pharmaceutical Science, 13,(4), 168–185. https://doi.org/10.7324/JAPS.2023.55995

Umar, A. H., Syahruni, R., Ranteta’dung, I., & Rafi, M. (2023). FTIR-based fingerprinting combined with chemometrics method for rapid discrimination of Jatropha spp. (Euphorbiaceae) from different regions in South Sulawesi. Journal of Applied Pharmaceutical Science, 13,(1), 139–149. https://doi.org/10.7324/JAPS.2023.130113

Umar, A. H., Syahruni, R., Burhan, A., Maryam, F., Amin, A., Marwati, M., & Masero, L. R. (2016). Determinasi dan analisis finger print tanaman murbei (Morus alba Lour) sebagai bahan baku obat tradisional dengan metode spektroskopi FT-IR dan kemometrik. Pharmacon, 5(1), 78–90.

Wang, L., Li, X., Wang, Y., Ren, X., Liu, X., Dong, Y., Ma, J., Song, R., Wei, J., Yu, Ax., Fan, Q., Shan, D., Yao, J., & She, G. (2021). Rapid discrimination and screening of volatile markers for varietal recognition of Curcumae radix using ATR-FTIR and HS-GC-MS combined with chemometrics. Journal of Ethnopharmacology, 280, 114422. https://doi.org/10.1016/j.jep.2021.114422



DOI: https://doi.org/10.22146/agritech.88706

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