Ni Ketut Sari
Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia

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Optimization of Glucose Recovery from Saccharomyces cerevisiae Waste via Hydrolysis Using RSM Ubaidillah Bramantyo Esnandhik; Fatimah Azzahra; Ni Ketut Sari
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6581

Abstract

The liquid waste resulting from the regeneration of Saccharomyces cerevisiae contains a significant amount of starch, which has the potential to be optimized for glucose production. This study aims to optimize glucose levels from the liquid waste using hydrolysis with the Response Surface Methodology (RSM). The tested variables include the volume of Saccharomyces cerevisiae regeneration liquid waste (mL): 300; 600; 900; 1200; and 1500, as well as water volume (mL): 200; 400; 600; 800; and 1000. RSM with a Central Composite Design (CCD) requires 13 experimental data combinations of variables. The hydrolysis results were analyzed using RSM to determine the effect of variables and their interactions on glucose content. Optimization of glucose levels using RSM resulted in an optimal glucose content of 23.5% at a liquid waste volume of 1378.79 mL and a water volume of 1.5238 mL, based on an analysis using Minitab 19 software. Glucose content testing from 25 data points showed the highest level at 27% for a liquid waste volume of 900 mL and a water volume of 600 mL, while spectrophotometry recorded a peak glucose content of 29.7% under the same variables. The findings of this study can be the basis for developing a more efficient hydrolysis process that produces glucose which can help industry to make waste processing methods more efficient and increase the added value of by-products.
Optimization of Ethanol Purification by Adsorption Process Using Silica Gel with Response Surface Methodology Restu Sebrina Vinata; Firdiani Dwi Pratiwi; Ni Ketut Sari
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7433

Abstract

Ethanol from the fermentation of sugar, cane, and biomass can be used as a renewable fuel, but it must be purified first with adsorption being an efficient method. This study aims to optimize ethanol purification using silica gel adsorption, investigating the effects of flow rates 0.1; 0.2; 0.3; 0.4; 0.5 ml/s and adsorbent weights 20, 30, 40, 50, 60 grams. Response Surface Methodology (RSM) with Central Composite Design (CCD) was used for optimization. The experimental results were input into Design-Expert 13 for RSM optimization using flow rate and adsorbent weight. The highest ethanol concentration of 99.8% was achieved at a flow rate of 0.1 ml/s and adsorbent weight of 60 grams. RSM optimization resulted in a concentration of 99.804% at a flow rate of 0.103 ml/s and silica gel weight of 59.818 grams. The results indicate that increasing adsorbent weight and decreasing flow rate significantly improve ethanol purity. Achieving 99.8% ethanol confirms the effectiveness of silica gel adsorption and supports the development of biofuels as renewable energy sources to reduce dependence on petroleum.