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Submitted
Sep 5, 2023
Accepted
Jul 18, 2024
Published
Oct 4, 2024
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Abstract

Background: Miana (Coleus scutellarioides) is a plant from the Lamiaceae family consisting of several varieties that are traditionally used as medicinal materials, especially its leaves. Objectives: The study aims to classify/discriminate miana varieties based on FT-IR spectroscopic profiles and chemometric analysis (PCA, HCA, and PLS). Material and Methods: There are four samples used in this study, namely purple miana, green miana, batik miana, and combination miana (combination colour). The powders of the four miana samples were analyzed using FT-IR spectroscopy, then analyzed by chemometric techniques using PCA, HCA, and PLS to see the clustering patterns and functional group markers of the samples. Results: Based on chemometric analysis of FTIR data, the four species of miana leaves showed grouping based on their varieties, respectively. The total PC value was 99.5% (PC-1 97.7% and PC-2 1.8%). HCA analysis at a distance of 2.5 resulted in 4 groups: a (DMB, DMK, and DMU), b (DMU and DMK), c (DMU and DMK), and d (DMH). PLS analysis using VIP scores showed C-H and C=O groups with values > 1. Conclusions: The combination of FT-IR and chemometrics can be applied to discriminate miana samples in quality control and authentication of traditional medicine raw materials.

Keywords

multivariate analysis Coleus scutellarioides FT-IR metabolomics spectroscopy

Article Details

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biography

Reny Syahruni, Sekolah Tinggi Ilmu Farmasi Makassar

Divisi Biologi Farmasi, Sekolah Tinggi Ilmu Farmasi Makassar, Jalan Perintis Kemerdekaan Km. 13,7 Daya, Makassar 90242, Sulawesi Selatan, Indonesia

How to Cite
Syahruni, R., Umar, A. H., & Lido, F. (2024). Miana (Coleus scutellarioides) Variety Discrimination Based on Metabolic Fingerprints and Chemometrics. Jurnal Farmasi Galenika (Galenika Journal of Pharmacy) (e-Journal), 10(2). https://doi.org/10.22487/j24428744.2024.v10.i2.16534

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