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Optimizing Ultrasound-Assisted Extraction Methods of Etlingera elatior Using Response Surface Methodology for High Performance Liquid Chromatography Fingerprinting Wasito, Hendri; Ridha, Kirana Shafa; Fareza, Muhamad Salman
Jurnal Kimia Sains dan Aplikasi Vol 28, No 7 (2025): Volume 28 Issue 7 Year 2025
Publisher : Chemistry Department, Faculty of Sciences and Mathematics, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jksa.28.7.355-361

Abstract

Kecombrang flower (Etlingera elatior) is widely used in traditional medicine and contains various metabolites. High-performance liquid chromatography (HPLC) fingerprinting can be employed as an analytical technique to comprehensively reveal the metabolite profile, while ultrasound-assisted extraction (UAE) was developed to optimize metabolite extraction. This study aims to determine the optimal extraction conditions for E. elatior and apply these conditions in HPLC fingerprinting. This study utilized central composite design (CCD) and response surface methodology (RSM) to optimize the extraction of E. elatior flowers, focusing on extraction time and the simplicia-to-solvent ratio. The optimal extraction results were applied to HPLC fingerprints of the flowers, leaves, and stems of E. elatior. The chromatograms were further analyzed using chemometric methods, namely principal component analysis (PCA), partial least squares discriminant analysis (PLSDA), and hierarchical cluster analysis (HCA) to classify and interpret the variability of metabolite profiles in different parts of E. elatior. The optimal UAE conditions were determined to be a time of 46 minutes and a simplicia-to-solvent ratio of 1:25 (g/mL). Chemometric analysis revealed that the samples were well clustered, which reflects the similarity of metabolites among them. The HCA further showed that the metabolite profile of E. elatior flowers is closely related to that of the stems.
Chemometric analysis of fingerprinting derivative spectrophotometry for authentication of shallots Puteri, Adelia; Wijaya, Triyadi Hendra; Wasito, Hendri
International Journal of Basic and Applied Science Vol. 13 No. 2 (2024): Sep: Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v13i2.406

Abstract

The Bima Brebes, variety of shallots, was in high demand, which led to mixing with other varieties. Derivative spectrophotometric fingerprinting combined with chemometrics was used to distinguish between authentic and adulterated shallot varieties. The objective of this study was to identify the original spectra and their derivative spectrophotometric fingerprinting, as well as classify and differentiate between shallot varieties using chemometrics. UV-Visible (UV-Vis) spectrophotometry was used to test essential oil samples from three shallot varieties and their mixtures, followed by spectral derivatization. The spectral data revealed distinct patterns for each sample, including individual varieties and mixtures, and was then analyzed using Principal Component Analysis (PCA) and Partial Least Square-Discriminant Analysis (PLS-DA). The original spectra and their derivatives showed similarities across the samples. PCA and PLS-DA results indicated that the second-order derivative data provided the greatest separation, with a total Principal Component 1 (PC1) and Principal Component 2 (PC2) value of 62.2%, a total component 1 and 2 value of 60.1%, and the highest Variable Importance in the Projection (VIP) score wavelength of 225 nm. The PLS-DA results were validated to ensure that the model was not overfit, as evidenced by a satisfactory cross-validation quality (Q2/R2) value of 0.693 and a significant permutation test. The combination of derivative spectrophotometry fingerprinting and a chemometric approach effectively classified different samples, allowing for the determination of the authenticity of a specific shallot variety.
Synthesis and Cytotoxic Activity of Methoxylated Chalcones in Breast Cancer MCF-7 and Prostate Cancer DU-145 Cell Lines Fareza, Muhamad Salman; Samudra, Genta Hafied Naga; Asrada, Syahdan; Fischellya, Dafi; Wijaya, Triyadi Hendra; Choironi, Nur Amalia; Wasito, Hendri; Suhesti, Tuti Sri; Mustikaningtyas, Ika; Rehana, Rehana; Setiyabudi, Lulu; Sarmoko, Sarmoko
Molekul Vol 20 No 3 (2025)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jm.2025.20.3.13612

Abstract

Chalcones, a class of naturally occurring compounds, exhibit a broad spectrum of biological activities, including anticancer properties. In this study, a series of methoxylated chalcones were synthesized via Claisen-Schmidt condensation and evaluated for cytotoxic activity against breast cancer MCF-7 and prostate cancer DU-145 cell lines. The synthetic route involved Claisen-Schmidt condensation, leading to various methoxy-substituted chalcone derivatives. The structures of the synthesized chalcones were confirmed through NMR and mass spectrometry. Cytotoxicity was assessed using the PrestoBlue assay, with 4-bromochalcone (compound 2) displaying the highest cytotoxic activity against MCF-7 cancer cell lines (IC50 = 26.99 µM). These results indicate that methoxylated chalcones hold promise as potential lead compounds for the development of new anticancer agents targeting breast and prostate cancer.
Biosintesis Bimetallic Nanoparticles Ag-ZnO Menggunakan Ekstrak Etanol Kulit Salak (Salacca zalacca): Biosintesis Bimetallic Nanoparticles Ag-ZnO menggunakan Ekstrak Etanol Kulit Salak (Salacca zalacca) Tsabitatun Ni'mah; Aisy Prita Syafina; Ary Madina; Gilas Pandu Nur Fakhri; Wasito, Hendri
Berkala Ilmiah Kimia Farmasi Vol. 12 No. 2 (2025): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/bikfar.v12i2.74513

Abstract

Bimetallic nanoparticles (BNPs), specifically the silver-zinc oxide (Ag-ZnO) complex, are highly interested due to their superior optical, catalytic, and biological properties compared to monometallic nanoparticles (MNPs). The biosynthesis of nanoparticles is gaining popularity because it is cost-effective, non-toxic, and environmentally friendly. Plant extracts, such as those from the peel of the snake fruit (Salacca zalacca), contain secondary metabolites that serve as bioreductants for metal precursors, facilitating the production of nanoparticles in various sizes and shapes. This research aims to biosynthesize and characterize Ag-ZnO-BNPs using ethanol extract from snake fruit bark as a bioreductant. The synthesized Ag-ZnO-BNPs were analyzed using UV-Vis spectrophotometry, X-ray diffraction (XRD), scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX), and attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR). The results indicate that the Ag-ZnO-BNPs exhibit a maximum wavelength of 300 nm, an average particle size of 89.74 nm, a spherical shape, and the presence of polyphenol and carbonyl groups serving as bioreductants demonstrating their role in the formation of nanomaterials.   Keywords: Bimetallic nanoparticles, Ag-ZnO, Snake fruit, Salacca zalacca