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Analysis for quality of senggugu plant and herbal product (Rotheca Serrata (L.) with metabolomics approach Qodriah, Rahmatul; Aziz, Zuhelmi; Damayanti, Volin; Alya, Aura Dyah
JURNAL ILMU KEFARMASIAN INDONESIA Vol 22 No 2 (2024): JIFI
Publisher : Faculty of Pharmacy, Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jifi.v22i2.1670

Abstract

Senggugu plant (Rotheca serrata (L.) has many benefits and has the potential as a raw material for herbal medicine, so an identify in the form of an FTIR fingerprint profile is needed. The purpose of this study was to ensure the quality of simplisia and herbal product of senggugu roots and leaves by metabolomics approach. Simplisia and herbal products powder of senggugu leaves and roots were extracted with 70% ethanol solvent using ultrasonic method. The dried extracts of simplisia and herbal products were analyzed by FTIR and TLC-Densitometry. Data obtained from FTIR and TLC-Densitometry analyzed with multivariate data analysis techniques, Principal Component Analysis (PCA) to obtain fingerprint profiles. The PCA results obtained a total Principal Component value of 98,7% and showed that leaf simplisia and herbal products of senggugu leaves can cluster well, while root simplisia and herbal products of senggugu roots were at a distance from the plot. The analysis with OPLS-DA showed the same fungtional groups, which are C=H, O-H, C=C. The results of antioxidant activity testing of 70% ethanol extracts of leaves, roots, and herbal products of senggugu obtained strong antioxidant activity ability with IC50 values of 80,08; 92,12; 80,53; and 94,03 ppm.
Combination of FTIR-based Fingerprinting and Chemometrics Analysis for Discrimination of Tithonia diversifolia Leaves Extracts and Correlation with α-Glucosidase Inhibitory Activity Rafi, Mohamad; Aziz, Zuhelmi; Purmasari, Davita; Karomah, Alfi Hudatul
Majalah Obat Tradisional Vol 30, No 1 (2025)
Publisher : Faculty of Pharmacy, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mot.93996

Abstract

Tithonia diversifolia, known as Mexican sunflower, has been widely used as an herbal medicine to treat diabetes. This study used FTIR fingerprint spectra combined with chemometrics to differentiate T. diversifolia leaves extracts with different extracting solvents and their correlation with the inhibition of α-glucosidase activity. T. diversifolia collected from two growing locations (West Bandung and Sleman, Indonesia) was extracted with absolute ethanol, 50% ethanol, and water using ultrasonication. The ethanol absolute extract yielded a higher IC50 than the 50% ethanol and water extract. The FTIR spectra of each extract had a different profile, implying that the composition and the concentration of the metabolite extracted were relatively distinct. Absorbance data from the FTIR spectra in the 4000–400 cm−1 range were used to group all extracts according to the extracting solvent using principal component analysis (PCA). Before PCA, the FTIR spectra were subjected to signal preprocessing using a standard normal variate. We found that all of the extracts could be distinguished based on the extracting solvents using principal components (PC) 1 and 2 with a cumulative percentage of approximately 87%. Partial least square regression (PLSR) was used to correlate the FTIR spectra and the inhibition of the α-glucosidase activity to obtain a functional group of a metabolite that contributed to inhibiting the α-glucosidase activity. From the PLSR, peaks from the wavenumbers at ~3300 cm−1, ~3000 cm−1, ~1650 cm−1, ~1350 cm−1, and ~1100 cm−1 corresponded to the O-H, CH3, CH2, C=C, and C-O, which were thought to be responsible for inhibiting the α-glucosidase. Therefore, these functional groups were owned by the metabolites in the T. diversifolia leaves extracts that contributed to the inhibition of α-glucosidase.
FTIR-Fingerprinting Spectra Combined with Chemometrics Analysis for Distinguishing Strobilanthes phyllostachya Leaves Extracts and Correlation with Their Antioxidant Activity Rafi, Mohamad; Tohib, Devanka Aulia; Saputra, Agus; Aziz, Zuhelmi; Karomah, Alfi Hudatul
HAYATI Journal of Biosciences Vol. 32 No. 6 (2025): November 2025
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.32.6.1584-1591

Abstract

The leaves of Strobilanthes phyllostachya have a long history of use as a herbal medicine, and research has demonstrated that they contain a range of metabolites with antioxidant activity. This study will employ a chemometric approach to analyze the correlation between functional groups from Fourier Transform Infrared Spectroscopy (FTIR) spectra and antioxidant activity. The leaf samples will be extracted with water and ethanol at 30%, 50%, 70%, and ethanol p.a. Moreover, the extracts will be evaluated for their antioxidant activity and analyzed using FTIR spectroscopy. The antioxidant activity measurement results indicate that the 70% ethanol extract of S. phyllostachya exhibits the highest antioxidant activity. The IR spectra of the water and ethanol extracts exhibited slight differences in their patterns. While the spectra of the various ethanol extracts exhibited similarities, their absorption values differed. A principal component analysis with absorbance from the FTIR spectra at wavenumber 3400-2800 and 1800-1000 cm-1 gave a good cluster of different solvent extractions used in this study. The total variation of principal component-1 (PC-1) and PC-2 is 90%. The partial least square regression (PLSR) analysis results were used to correlate the absorbance value of FTIR spectra of S. phyllostachya extract with antioxidant activity. From the PLS-R analysis, we identified a functional group, i.e. carbonyl and hydroxyl, which significantly contributed to the antioxidant activity of the S. phyllostachya extract. The value of the R2 parameter, which assesses the goodness of fit, was found to be 0.9630, indicating that the PLSR model is good.