Operating Variables on Production of High Purity Bio-silica from Rice Hull Ash by Extraction Process


  • Soen Steven Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa No. 10, Bandung 40132, Indonesia
  • Elvi Restiawaty Department of Bioenergy Engineering and Chemurgy, Faculty of Industrial Technology, Institut Teknologi Bandung, Jatinangor, Sumedang 45363, Indonesia
  • Yazid Bindar Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesa No. 10, Bandung 40132, Indonesia




acid concentration, alkaline extraction, bio-silica, full factorial design, rice hull ash


The huge amount of rice hull biomass available in Indonesia can be utilized as raw material for bio-silica production. This study investigated the production of high-purity bio-silica from rice hull ash through an alkaline extraction process. A full factorial design (FFD) was used to screen for significant effects of the observed variables. Three operating variables ? acid concentration, solvent to feed ratio (RS/F), and extraction time ? were investigated with the purpose of obtaining a high yield and high purity of bio-silica. Yield and purity above 96% were achieved by using pretreatment with 1 mol/L HCl. Employing an RS/F of 5 and a longer extraction time improved the bio-silica yield. The operating variable that enhanced the bio-silica yield and purity most was acid concentration. All variable interactions had an insignificant effect on purity, while two interacting variables had a significant effect on bio-silica yield. Based on the results of this study, rice crop residue can be optimally converted to a bio-silica product in terms of yield and purity by optimizing the most effective operating variables.


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How to Cite

Steven, S., Restiawaty, E., & Bindar, Y. (2022). Operating Variables on Production of High Purity Bio-silica from Rice Hull Ash by Extraction Process. Journal of Engineering and Technological Sciences, 54(3), 220304. https://doi.org/10.5614/j.eng.technol.sci.2022.54.3.4




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