# Determining an appropriate unstructured kinetic model for batch ethanol fermentation data using a direct search method
> Kasbawati

URL kanonis: https://discover.unhas.ac.id/publications/determining-an-appropriate-unstructured-kinetic-model-for-batch-ethanol-fermenta
Jurnal / Konferensi: Biotechnology and Biotechnological Equipment
Tahun terbit: 2018
DOI: https://doi.org/10.1080/13102818.2018.1503563
ISSN: 13102818
Kuartil SJR: Q3
Citations: 7

## Authors
- Kasbawati

## Abstract
In this paper, we study an extracellular process of a biochemical system such as batch ethanol fermentation system by considering an unstructured kinetic model with four different well-known models for the specific growth rate of the yeast cells. Then, we fit the unstructured models to the experimental data for determining the appropriate model that can capture the dynamic behaviour of the batch ethanol fermentation experimental data. The fitting procedure is proceeded by minimising a least-squared error between the model solutions and the experimental data using a direct search method. Our simulations show that the unstructured model with Aiba-type structured model for the specific growth rate of the yeast cell has the best approximating ability to describe the dynamic of the batch ethanol fermentation data.

## Keywords
- Fermentation
- Ethanol
- Ethanol fermentation
- Chemistry
- Biochemical engineering
- Computer science
- Biological system
- Food science
- Environmental science
- Data mining
- Biology
- Biochemistry
- Engineering

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.