Determination of Optimal Application of Biosurfactant by using Linear Programming (LP) Model

Authors

  • Mohd. Nazren Radzuan Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia
  • Nazifa Athirah Mat Zakhi
  • Nurul Husna Radzali
  • Mohamad Firdza Mohamad Shukery

DOI:

https://doi.org/10.36877/aafrj.a0000254

Abstract

Biosurfactant or amphiphilic compounds are a diverse group of molecules that contains a hydrophobic part and a hydrophilic part, division at liquid/solid, liquid/liquid, or liquid/gas interfaces. The characteristics of these biomolecules play a significant part in the formation of foam, emulsification, pharmaceutical, detergence, and biopesticide that can be admissible aspects in a few sectors. Currently, industrial biosurfactant production is still lacking, and the challenges presented in this regard are due to the high cost of microbial cultivation to biosurfactant recovery. Biosurfactants have already been applied individually or as mixed with biosurfactants in industries as commercially available using microbes and synthesis processes. In this study, linear mathematical modelling using Generalized Algebraic Modelling System (GAMS) software is being used to identify the worthwhile biosurfactant product and the pathways of biosurfactant that will provide the most significant profit to the biosurfactant application. The model consisted of the linear programming (LP) model, which utilized a diverse equation to determine the industrial application of biosurfactants that can provide profitable income to the country.

Downloads

Published

2021-08-24

How to Cite

Radzuan, M. N., Mat Zakhi, N. A., Radzali, N. H., & Mohamad Shukery, M. F. (2021). Determination of Optimal Application of Biosurfactant by using Linear Programming (LP) Model. Advances in Agricultural and Food Research Journal, 2(2). https://doi.org/10.36877/aafrj.a0000254

Issue

Vol. 2 No. 2 (2021)

Section

ORIGINAL RESEARCH ARTICLE

License

Copyright (c) 2021 Mohd. Nazren Radzuan, Nazifa Athirah Mat Zakhi, Nurul Husna Radzali, Mohamad Firdza Mohamad Shukery

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Author(s) shall retain the copyright of their work and grant the Journal/Publisher right for the first publication with the work simultaneously licensed under:

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). This license allows for the copying, distribution and transmission of the work, provided the correct attribution of the original creator is stated. Adaptation and remixing are also permitted.

 

This broad license intends to facilitate free access to, as well as the unrestricted reuse of, original works of all types for non-commercial purposes.

The author(s) permits HH Publisher to publish this article that has not been submitted elsewhere.

Abstract viewed = 192 times
PDF downloaded = 206 times