Optimal application of biosurfactant by using linear programming (LP) model

Mat Zakhi, Nazifa Athirah (2019) Optimal application of biosurfactant by using linear programming (LP) model. [Project Paper] (Submitted)

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Abstract

In the generation of world industrialization, natural useful resource exploration has provided as a source of research and development for science and superior technology, leading to the manufacturing on the world market of products with high equity value, such as biosurfactants. Biosurfactants are amphiphilic microbial molecule that contains hydrophilic and hydrophobic that partition at liquid / liquid, liquid / gas or liquid / solid interfaces. Such characteristics of these biomolecules to play a key function in foam formation, detergence, emulsification, biopesticide and pharmaceutical which are acceptable aspect in a number of sectors. In addition to getting a strong advantageous effect on the major global issues, biosurfactant production performs a widespread function in establishing sustainable processes in the industry, such as the use of renewable resources and green products. Low toxicity and biodegradability have resulted in the escalation in scientific research on a broad range of industrial purposes for bioremediation biosurfactants as nicely as the oil, food processing, health, chemical, agricultural and cosmetic industries. This problem can be solved with the aid of developing a mathematical model that can determine the worthwhile products and biosurfactant-pathways that will give maximum profit to the biosurfactant application. There are eight stages of research methodology that will be employed in the improvement of the fine biosurfactant application. The model comprised of linear programming (LP) model that uses various equations to identify the most profitable application for biosurfactant.

Item Type:	Project Paper
Faculty:	Faculty of Engineering
Depositing User:	Ms Siti Mariam Giman
Date Deposited:	16 Nov 2022 08:14
Last Modified:	16 Nov 2022 08:14
URI:	http://psaspb.upm.edu.my/id/eprint/516

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