Optimization of Glucose Recovery from Saccharomyces cerevisiae Waste via Hydrolysis Using RSM

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.

Authors

Institutions

Publication Details

Journal
Jurnal Teknologi Terapan G-Tech
Published
2025-04-04
DOI
https://doi.org/10.70609/gtech.v9i2.6581
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Glucose Recovery from Saccharomyces cerevisiae Waste via Hydrolysis Using RSM

Ni Ketut Sari, Fatimah Azzahra, Ubaidillah Bramantyo Esnandhik
Jurnal Teknologi Terapan G-Tech
Biofuel production and bioconversion
article

Optimization of Glucose Recovery from Saccharomyces cerevisiae Waste via Hydrolysis Using RSM

Ni Ketut Sari, Fatimah Azzahra, Ubaidillah Bramantyo Esnandhik
article en

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.

Jurnal Teknologi Terapan G-TechVol. 9(2)
University of Pembangunan Nasional Veteran Jawa Timur (ID)
Openalex Percentile: Top 94%
Biofuel production and bioconversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.