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All Journal Jurnal Kartika Kimia
Handajaya Rusli, Handajaya
Kelompok Keilmuan Kimia Analitik, Institut Teknologi Bandung Jl. Ganeca No.10 Bandung
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education

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Komposisi Proksimat dari Gracilia Sp, Sargassum Sp, dan Ulva Lactuca di Pantai Sayang Heulang, Garut Selatan, Jawa Barat, Indonesia Rusli, Handajaya; Lestari, Sri Dewi; Iqbal, Muhammad; Rusnadi, Rusnadi
Jurnal Kartika Kimia Vol 6 No 2 (2023): Jurnal Kartika Kimia
Publisher : Department of Chemistry, Faculty of Sciences and Informatics, University of Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jkk.v6i2.229

Abstract

Carbohydrate protein, fat, and minerals are the main ingredients of seaweed besides water. These main contents can vary depending on environmental conditions and the type of seaweed. Gracilaria sp, Sargassum sp, and Ulva lactuca grow widely and have been used on Sayang Heulang beach, South Garut, West Java, Indonesia. Unfortunately, no information was found for its main content that can indicate the seaweed quality. This research aims to conduct a proximate analysis of the three seaweeds, representing brown seaweed, red seaweed, and green seaweed, respectively. Carbohydrate total analysis was done using Luff Schoorl method and gave 11.2 %w/w, 25.3 %w/w, and 20.4 %w/w for Gracilaria sp, Sargassum sp, and U. lactuca, respectively. Determination of total protein using the Kjeldahl-Nessler method gives 6.5 %w/w for Gracilaria sp, 7.8 %w/w for Sargassum sp, and 8.7 %w/w for U. lactuca. The methods for fat analysis are Soxhlet extraction, which gives 0.3 %w/w for Gracilaria sp, 1.6 %w/w for Sargassum sp, and 1.1 %w/w for U.lactuca. The study also showed Gracilaria sp, Sargassum sp, and U. lactuca contain 26.9 %w/w, 23.6 %w/w, and 32.5 %w/w mineral content, respectively. These results indicate that different types of seaweed provide different chemical compositions.
Synthesis of Vinyl Modified Silica as a High-Performance Liquid Chromatography Stationary Phase Alzena, Ardine Zada; Rusli, Handajaya; Alni, Anita; Amran, Muhamad Bachri
Jurnal Kartika Kimia Vol 8 No 1 (2025): Jurnal Kartika Kimia
Publisher : Department of Chemistry, Faculty of Sciences and Informatics, University of Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jkk.v8i1.893

Abstract

Silica can be produced through hydrolysis in alkaline conditions via the Stober process and has two main functional groups, namely siloxane (Si-O-Si) and silanol (Si-OH). Vinyl modified silica can be produced from the hydrolysis of tetraethyl orthosilicate (TEOS) and vinyl trimethoxysilane (VTMS) with 25%(v/v) ammonia. VTMS is used as a silica surface modifying agent. The resulting silica-vinyl modification is then used as a stationary phase to fill a High Performance Liquid Chromatography (HPLC) column. The aim of this research is to synthesize vinyl-modified silica as a HPLC stationary phase and test its performance. Silica-vinyl modification is carried out by first synthesizing silica from TEOS and then modifying the surface using VTMS. Characterization was carried out using a Scanning Electron Microscope (SEM) and Fourier Transform Infrared Spectroscopy (FTIR). SEM characterization gave a spherical shape and a diameter of 1.73-2.02 μm. FTIR identification gave good results with the identification of siloxane signals (Si-O-Si) at 1,097 cm-1 on silica and 2,850 cm-1 and 2,922 cm-1 which were C-H vibrations on silica-vinyl. Qualitative identification carried out by the addition of alkenes with I2 also shows the binding of vinyl groups to the silica surface. The modified silica is then loaded into a 50 mm x 4.6 mm column. The performance test was carried out by separating caffeine and paracetamol compounds. Optimum separation of MeOH:HOH 1:99 eluent with a flow rate of 1 mL/min. The resulting resolution is 1,80 and selectivity is 1.52. The resulting calibration curve has an R2 value of 0.99156 for caffeine and 0.99431 for paracetamol.
Co-Authors Alzena, Ardine Zada Anita Alni, Anita Muhammad Bachri Amran Muhammad Iqbal Rusnadi Rusnadi Sri Dewi Lestari, Sri Dewi