AIMC Topic: Surface-Active Agents
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On the Evaluation of Rhamnolipid Biosurfactant Adsorption Performance on Amberlite XAD-2 Using Machine Learning Techniques.
BioMed research international
Apr 26, 2021
Biosurfactants are a series of organic compounds that are composed of two parts, hydrophobic and hydrophilic, and since they have properties such as less toxicity and biodegradation, they are widely used in the food industry. Important applications i...
Kinetic modeling and quasi-economic analysis of fermentative glycolipopeptide biosurfactant production in a medium co-optimized by statistical and neural network approaches.
Preparative biochemistry & biotechnology
Apr 21, 2021
This study presents the kinetics of production of a glycolipopeptide biosurfactant in a medium previously co-optimized by response surface and neural network methods to gain some insight into its volumetric and specific productivities for possible sc...
'Emulsion locks' for the containment of hydrocarbons during surfactant flushing.
Journal of environmental sciences (China)
Dec 18, 2019
Reversible double water in oil in water (W/O/W) emulsions were developed to contain subsurface hydrocarbon spills during their remediation using surfactant flushing. Double emulsions were prepared by emulsifying CaCl solutions in canola oil, and subs...
Comparative efficacy of machine-learning models in prediction of reducing uncertainties in biosurfactant production.
Bioprocess and biosystems engineering
Jul 6, 2019
An accurate and reliable forecast of biosurfactant production with minimum error is useful in any bioprocess engineering. Bacterial isolate FKOD36 capable of producing biosurfactant was isolated in this study and pre-inoculums was prepared from the a...
Delimiting the knowledge space and the design space of nanostructured lipid carriers through Artificial Intelligence tools.
International journal of pharmaceutics
Oct 26, 2018
Nanostructured lipid carriers (NLC) are biocompatible and biodegradable nanoscale systems with extensive application for controlled drug release. However, the development of optimal nanosystems along with a reproducible manufacturing process is still...
Comparative Study for Optimization of Pharmaceutical Self-Emulsifying Pre-concentrate by Design of Experiment and Artificial Neural Network.
AAPS PharmSciTech
Sep 14, 2018
The present investigation aimed to optimize the critical parameters affecting the globule size of self-emulsifying drug delivery system. Based on preliminary screening, three critical parameters, viz., amount of oil, surfactant, and co-surfactant wer...
The antibacterial activity of rhamnolipid biosurfactant is pH dependent.
Food research international (Ottawa, Ont.)
Sep 6, 2018
Rhamnolipid (RL) biosurfactants have been studied as agents to control the growth of food pathogens however, to be successful applied as antimicrobial agent in food, is important to determine the effect of environmental conditions on RL activity. Onc...
Production and characterization of a biosurfactant produced by Streptomyces sp. DPUA 1559 isolated from lichens of the Amazon region.
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
Dec 11, 2017
Surfactants are amphipathic compounds containing both hydrophilic and hydrophobic groups, capable to lower the surface or interfacial tension. Considering the advantages of the use of biosurfactants produced by microorganisms, the aim of this paper w...
Concurrent study of stability and cytotoxicity of a novel nanoemulsion system - an artificial neural networks approach.
Pharmaceutical development and technology
Oct 25, 2016
Problems commonly associated with using nanoemulsions are their cytotoxic effects and low stability profiles. Here, for the first time, concentrations of ingredients of a nanoemulsion system were investigated to obtain the most stable nanoemulsion sy...
Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
Computational intelligence and neuroscience
Oct 25, 2015
For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, a feed-forward neural network (FNN) based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO...
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