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Journal : Bulletin of Chemical Reaction Engineering

Performance of a Batch Operation Microbial Fuel Cell (MFC) with Cobalt Micronutrient Addition Based on Kinetic Models Juliastuti, Sri Rachmania; Laily, Fitria Nur; Darmawan, Raden
Bulletin of Chemical Reaction Engineering & Catalysis 2025: BCREC Volume 20 Issue 1 Year 2025 (April 2025)
Publisher : Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.20259

Abstract

The generation of electricity via MFC is subject to alteration by the concentration of the substrate. The objective of this study was to examine the performance of MFCs using both theoretical and experimental methods to ascertain the kinetic parameters associated with the addition of cobalt, with the aim of enhancing electricity generation via MFCs. The study demonstrated the impact of varying substrate concentrations and the composition of food waste and water, with formulas 0:5, 1:4, 2:3, 3:2, 4:1, and 5:0 (w/v). The kinetics of biochemical reactions were determined by employing the Monod and Gates-Marlar equations. The Monod equations were evaluated using three distinct representation methods. The Langmuir, Lineweaver-Burk, and Eadie-Hofstee models were employed. Conversely, the electrochemical reaction rate is evaluated through the Butler-Volmer equation. The current density derived from the theoretical approach exhibited a comparable pattern to that observed in the experimental data. The maximum power density was attained at a substrate concentration of 4:1 (w/v) exceeding 25,000 mW/m². The presented model facilitated the enhancement and optimization of MFC performance. Substrate concentration and biomass concentration exert a significant influence on MFC performance, as evidenced by the analysis of variance (ANOVA) and response surface methodology (RSM). Copyright © 2025 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
Silica Synthesis from Mount Semeru Volcanic Ash as a Nickel Heavy Metal Adsorbent Darmawan, Raden; Juliastuti, Sri Rachmania; Hardiatmoko, Bagas; Defriana, Aulia; Laily, Fitria Nur
Bulletin of Chemical Reaction Engineering & Catalysis 2025: BCREC Volume 20 Issue 2 Year 2025 (August 2025)
Publisher : Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.20337

Abstract

This study aims to synthesize SiO2 gel-based adsorbents using the sol-gel method from Mount Semeru volcanic ash through varying concentrations of sodium hydroxide and acid catalysts and to determine its adsorption capacity on nickel (Ni(II)). Volcanic ash was obtained from Lumajang District, East Java, Indonesia. The silica gel adsorbent was made using the sol-gel method with different amounts of NaOH (1.0 M, 2.0 M, 3.0 M, and 4.0 M) and acid catalysts (acetic and hydrochloric acid). First, silica (SiO2) was extracted from the volcanic ash, and then the sol-gel process was used to manufacture SiO2 gel-based adsorbents. The SiO2 gel was analyzed using X-ray Fluorescence Analysis, Fourier-transform Infrared (FTIR), and Brunauer Emmett, and Teller (BET). Adsorption analysis of the Ni(II) metal ion content was conducted at various stirring rates and adsorbent dose masses. The results obtained showed that the most optimal SiO2 gel was achieved when using 3.0 M NaOH, 10.53% HCl, and 8.30% CH3COOH. Through FTIR analysis, NaOH 3.0 M x HCl silica contains only the siloxane groups, whereas NaOH 3.0 M x CH3COOH silica contains both the silanol and siloxane groups. The best results were gained with SiO2-based adsorbents (NaOH 3.0 M x CH3COOH) at a dose of 10 g/L and a stirring rate of 50 rpm, with Ni(II) adsorption effectiveness of 99.80%. Copyright © 2025 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).