Modeling biosurfactant production from agroindustrial residues by neural networks and polynomial models adjusted by particle swarm optimization

Bustamante, Rodrigo de Andrade; Oliveira, Juan Santos de; Santos, Bettina Steren dos

doi:10.1007/s11356-022-22481-3

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…Table 1. In addition to statistical techniques, an AI-based technology called Artificial Neural Intelligence paired with Genetic Algorithm (ANN-GA) has also been tested for media optimization [23] Table1 Different low-cost waste substrate sex pointed in recent times for biosurfactant production. Sr. no.…”

Section: F Formulation Of the Production Media For Biosurfactantsmentioning

confidence: 99%

Microbial Production Bioemulsifier and its Applications

Shaileshbhai,

Pandya

2023

IJRASET

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According to various research, Biosurfactants are generally composed of amphipathic motes that have both hydrophilic and hydrophobic ingredients. The hydrophilic composites generally correspond to positive, negative, or amphoteric charged ions, whereas the hydrophobic composites are made up of a long chain of fatty acids. It is getting important in biotechnology products for numerous industrial applications including in food, cosmetics and cleaning products, medicine, drug, and oil and gas. Bacterial cells produce an admixture of biosurfactant( BS) lipids with the help of which oil is dispersed into veritably fine droplets and therefore the bioavailability of CO is increased. Biosurfactants are surface-active site compounds produced by microorganisms. Biosurfactant generally refers to surfactants of microbial origin. Most of the biosurfactants produced by microbes are synthesized extracellularly and numerous microbes are known to produce biosurfactants in large relative amounts. This study concentrates on the insulation of biosurfactant-producing microorganisms from soil samples.

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Section: F Formulation Of the Production Media For Biosurfactantsmentioning

confidence: 99%

Microbial Production Bioemulsifier and its Applications

Shaileshbhai,

Pandya

2023

IJRASET

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Unlocking the potential of biosurfactants: Production, applications, market challenges, and opportunities for agro-industrial waste valorization

Santos,

Vieira,

Ruzene

et al. 2024

Environmental Research

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Advances in the co-production of biosurfactant and other biomolecules: statistical approaches for process optimization

Kadam,

Dhanorkar,

Patil

et al. 2024

Journal of Applied Microbiology

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An efficient microbial conversion for simultaneous synthesis of multiple high-value compounds, such as biosurfactants and enzymes, is one of the most promising aspects for an economical bioprocess leading to a marked reduction in production cost. Although biosurfactant and enzyme production separately have been much explored, there are limited reports on the predictions and optimization studies on simultaneous production of biosurfactants and other industrially important enzymes, including lipase, protease, and amylase. Enzymes are suited for an integrated production process with biosurfactants as multiple common industrial processes and applications are catalysed by these molecules. However, the complexity in microbial metabolism complicates the production process. This study details the work done on biosurfactant and enzyme co-production and explores the application and scope of various statistical tools and methodologies in this area of research. The use of advanced computational tools are yet to be explored for the optimization of downstream strategies in the co-production process. Given the complexity of the co-production process, and with various new methodologies based on artificial intelligence (AI) being invented, the scope of AI in shaping the biosurfactant-enzyme co-production process is immense and would lead to not only efficient and rapid optimization, but economical extraction of multiple biomolecules as well.

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Modeling biosurfactant production from agroindustrial residues by neural networks and polynomial models adjusted by particle swarm optimization

Cited by 3 publications

References 37 publications

Microbial Production Bioemulsifier and its Applications

Microbial Production Bioemulsifier and its Applications

Unlocking the potential of biosurfactants: Production, applications, market challenges, and opportunities for agro-industrial waste valorization

Advances in the co-production of biosurfactant and other biomolecules: statistical approaches for process optimization

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