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All Journal Jurnal Ilmiah Farmako Bahari Acta Chimica Asiana Sinteza CERATA
Lina Permatasari
Universitas Mataram
Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology

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Identifikasi Profil Metabolit Sekunder Subfraksi Teraktif Daging Buah Kepundung (Baccaurea racemosa) menggunakan High Resolution Mass Spectrometry Cici Okta Maelina; Lina Permatasari
Sinteza Vol. 5 No. 2 (2025): August
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/sinteza.v5i2.29205

Abstract

Baccaurea racemosa (kepundung) is a tropical plant with potential as a source of bioactive compounds. This study aimed to identify the secondary metabolite profile of the most active subfraction of kepundung fruit pulp using High Resolution Mass Spectrometry (HRMS). MS analysis was performed with Heated Electrospray Ionization (H-ESI) positive ionization mode. Compound identification was performed using Thermo Scientific™ software. HRMS analysis revealed the presence of 1,149 compounds, with the ten most abundant being L-pyroglutamic acid, senkyunolide H, trans-acotinic acid, glutarate, zerumbone, choline, cuminaldehyde, D-(+)-camphor, N-methyl-2-pyrrolidone, and nicotinic acid. These compounds have been reported to have pharmacological activities, especially as antimicrobial and antifungal agents. These findings support the potential use of kepundung fruit pulp as a promising natural source for phytopharmaceutical development.
Pengaruh Perbedaan Metode Ekstraksi Terhadap Aktivitas Antibakteri (Pseudomonas aeruginosa) pada Daun Teh Hijau (Camellia sinensis L.) Baiq Rani Salsabiella; Lina Permatasari; Neneng Rachmalia Izzatul Mukhlishah; Metta Octora
Acta Chimica Asiana Vol. 9 No. 1 (2026)
Publisher : The Indonesian Chemical Society, Chapter Nusa Tenggara and The University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/aca.v9i1.261

Abstract

Pseudomonas aeruginosa is an opportunistic gram-negative bacterium and is often the most common cause in people with immunocompromised problems. Infections by this bacterium, especially in patients with impaired immunity, are difficult to treat due to a number of antibiotic resistance mechanisms. The polyphenol compound Epigallocatechin Gallate (EGCG) contained in Camellia sinensis L. is known to have antibacterial activity against several bacteria so that it has the potential as an antibiotic to overcome the problem of antibiotic resistance in Pseudomonas aeruginosa. To obtain this compound, extraction with the right method is needed. In addition, the EGCG was dominant extracted at the ethyl acetate fraction. This study aims to analyze the effect of extraction methods on EGCG content and antibacterial activity (Pseudomonas aeruginosa) of ethyl acetate fractions of green tea leaves (EAFGL). The research design is an experimental laboratory using a true experimental posttest only control group design. Green tea leaf powder was extracted with 96% ethanol using the sonication and maceration methods, then fractionated evenly with n-hexane, chloroform and ethyl acetate solvents. The EGCG content of EAFGL was determined using High Performance Liquid Chromatography (HPLC). Antibacterial activity of EAFGL at the concentration 12.5; 50; 100; and 200 mg/mL were carried out using the disc diffusion method. Positive and negative control groups used Aztreonam and 10% DMSO, respectively. The antibacterial activity of EAFGL was analyzed using the Kruskal-Wallis and Mann-Whitney test. The results showed that EAFGL extracted using maceration revealed significantly higher EGCG content (170,97 ±17,51 µg EGCG/mg fraction). The EAFGL at a concentration of 200 mg/mL, obtained through maceration, exhibited the significantly (p<0.05) highest antibacterial activity against P. aeruginosa with the inhibition zone of 16.7 mm. Therefore, maceration is an appropriate method for extracting green tea leaves, as it can produce optimal EGCG content and antibacterial activity.
Perbandingan Aktivitas Antioksidan Ekstrak Daging Buah Kepundung (Baccaurea racemosa) Segar dan Kering Berdasarkan Uji DPPH Wulan Desi Rahmayanti; Lina Permatasari
CERATA Jurnal Ilmu Farmasi Vol 17 No 1 (2026): Cerata Jurnal Ilmu Farmasi
Publisher : Universitas Muhammadiyah Klaten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61902/cerata.v17i1.2062

Abstract

Buah kepundung ( Baccaurea racemosa L.) merupakan salah satu tanaman tropis yang diketahui mengandung senyawa bioaktif seperti flavonoid dan fenolik yang berpotensi sebagai antioksidan alami. Penelitian ini bertujuan untuk membandingkan aktivitas antioksidan antara ekstrak daging buah segar dan kering kepundung menggunakan metode DPPH. Ekstraksi dilakukan secara maserasi menggunakan pelarut metanol, dan aktivitas antioksidan ditentukan berdasarkan persentase penangkapan radikal bebas DPPH pada berbagai konsentrasi (100–500 ppm). Nilai IC₅₀ dihitung sebagai parameter kekuatan aktivitas antioksidan, sedangkan perhitungan antar kelompok dianalisis menggunakan Independent Sample T-Test dengan tingkat signifikansi 0,05. Hasil menunjukkan bahwa persentase inhibisi meningkat seiring dengan peningkatan konsentrasi, dan ekstrak daging buah segar memiliki aktivitas penangkapan radikal yang lebih tinggi dibandingkan ekstrak kering pada semua konsentrasi (p < 0,05). Nilai IC₅₀ ekstrak segar sebesar 113,18 ± 44,23 µg/mL termasuk dalam kategori sedang, sedangkan ekstrak kering tidak mencapai 50% penghambatan sehingga nilai IC₅₀-nya tidak dapat ditentukan secara valid. Perbedaan ini menunjukkan bahwa proses pengeringan dapat menurunkan kandungan senyawa fenolik dan flavonoid yang berperan penting dalam aktivitas antioksidan. Dengan demikian, penggunaan bahan segar dinilai lebih efektif dalam menghasilkan aktivitas antioksidan yang lebih tinggi.
Literatur Review: Analisis Penetapan Kadar Ibuprofen Dan Validasi Metode Menggunakan Berbagai Sistem High-Performance Liquid Chromatography (HPLC) Iglima Cikita; Vania Aisyah Aulia Syahda Haris; Zaskia Rizky Maulana; Nadira Khaerunnisa; Raditya Wedhagama; Lina Permatasari
CERATA Jurnal Ilmu Farmasi Vol 16 No 2 (2025): Cerata Jurnal Ilmu Farmasi
Publisher : Universitas Muhammadiyah Klaten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61902/cerata.v16i2.1448

Abstract

Ibuprofen adalah obat golongan Non Steroid Anti-Inflamatory Drug (NSAID) yang digunakan untuk analgetik dan antipiretik. Tingginya penggunaan obat ini memerlukan metode analisis yang akurat untuk menetapkan kualitas dan kadarnya. High-Performance Liquid Chromatography (HPLC) menjadi instrumen pilihan dalam analisis farmasi. Penelitian ini bertujuan mengevaluasi validitas metode HPLC fase normal dan fase terbalik dalam penetapan kadar ibuprofen. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan Parameter validasi yang dianalisis meliputi linearitas, akurasi, presisi, Limit of Detection (LOD), dan Limit of Quantification (LOQ). Hasil menunjukkan bahwa kedua fase HPLC memiliki kinerja yang baik dalam menganalisis ibuprofen, dengan fase terbalik menunjukkan keunggulan. Penelitian ini memberikan kontribusi dalam memilih metode HPLC yang sesuai untuk analisis ibuprofen secara akurat.
In Silico Evaluation of Chitosan's Antibacterial Potential Against Gram-Positive and Gram-Negative Bacteria Selvira Maulidya; Susi Rahayu; Lina Permatasari; Hudaynu Patya Putri; A'yuni Guban Juniarza
Jurnal Ilmiah Farmako Bahari Vol 17 No 1 (2026): Jurnal Ilmiah Farmako Bahari
Publisher : Faculty of Mathematic and Natural Science, Garut University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jifb.v17i1.43047

Abstract

Chitosan, a natural biopolymer, has attracted attention for its potential antibacterial properties against a wide range of pathogens. The escalating crisis of antibiotic resistance necessitates the exploration of novel antibacterial agents effective against both Gram-positive and Gram-negative bacteria. This study aimed to predict the antibacterial potential of chitosan against Staphylococcus aureus (a Gram-positive bacterium) and Escherichia coli (a Gram-negative bacterium) using a comprehensive in silico approach. Short chitosan oligomers, specifically trimers, were used to ensure computational feasibility and reliable molecular docking, as full-length polymers are too large for standard docking algorithms. Molecular docking simulations were performed using AutoDock to investigate the interactions between 13 chitosan compounds and the essential bacterial protein DNA gyrase, a key enzyme involved in DNA replication and repair. Binding affinities, interaction patterns (such as hydrogen bonding and hydrophobic contacts), and conformational changes were analyzed. The ligand showing the most favorable docking profile was further evaluated via molecular dynamics simulations using OpenMMDL to assess the stability of the complex over time. The results indicated that the chitosan derivatives, namely aminoethyl chitosan and dimethylaminoethyl chitosan, interact favorably with DNA gyrase in S. aureus and E. coli, respectively, with differential binding energies and interaction modes suggesting potential variations in inhibitory mechanisms between Gram-positive and Gram-negative bacteria. These computational findings support the potential of chitosan as a broad-spectrum antibacterial agent and provide a theoretical framework to guide further in vitro and in vivo validation of chitosan as a novel antibacterial compound.
Pengaruh Ukuran Partikel Simplisia Daun Rhizophora mucronata terhadap Profil FTIR yang Dikombinasi dengan Kemometrik Lina Permatasari; Neneng Rachmalia Izzatul Mukhlishah; Legis Ocktaviana Saputri; Selvira Anandia Intan Maulidya; Alfini Junaida; Risma Fitriani; Dzakiyyah Sulthanah Ahmad; Nisa Isnaini
Sinteza Vol. 6 No. 2 (2026): August
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/sinteza.v6i2.34383

Abstract

Rhizophora mucronata leaves contain various secondary metabolites that contribute to several pharmacological activities. The extraction efficiency and metabolite composition can be influenced by several factors, including the particle size of plant materials. This study aimed to evaluate the effect of particle size of R. mucronata leaves on their secondary metabolite composition using Fourier Transform Infrared (FTIR) spectroscopy combined with chemometric analysis. Dried leaves were ground and sieved into different particle sizes (4000 μm, 2000 μm, 500 μm, 177 μm, and 105 μm) using mesh sizes 5, 10, 35, 80, and 140. Each sample was extracted by ultrasound-assisted extraction (UAE) using 96% ethanol. The chemical profiles of the extracts were analyzed using FTIR spectroscopy. The dominant wavenumbers were further evaluated using Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). The results showed that smaller particle sizes produced higher extraction yields. FTIR spectra revealed the presence of functional groups including O–H, C=O, C–O, and aromatic groups. Biplot on PCA indicated that O–H and C=O functional groups strongly influenced samples with particle sizes of 500 µm and 105 µm. The score plot classified the five samples into three groups: 105 µm and 500 µm (Group I), 2000 µm and 4000 µm (Group II), and 177 µm (Group III). Meanwhile HCA revealed high similarity (79.49%) between the 105 µm and 500 µm samples, while the sample 4000 µm and 105 µm  showed low similarity (24.50%). These findings indicate that particle size significantly influences the composition of extracted secondary metabolites.
Co-Authors A'yuni Guban Juniarza Alfini Junaida Baiq Rani Salsabiella Cici Okta Maelina Dzakiyyah Sulthanah Ahmad Hudaynu Patya Putri Iglima Cikita Metta Octora Nadira Khaerunnisa Neneng Rachmalia Izzatul Mukhlishah Neneng Rachmalia Izzatul Mukhlishah Nisa Isnaini Ocktaviana Saputri, Legis Raditya Wedhagama Risma Fitriani Selvira Anandia Intan Maulidya Selvira Maulidya Susi Rahayu Vania Aisyah Aulia Syahda Haris Wulan Desi Rahmayanti Zaskia Rizky Maulana