2021
DOI: 10.1002/app.51437
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The effects of ionic strength and pH on antibacterial activity of hybrid biosurfactant‐biopolymer nanoparticles

Abstract: The physicochemical properties of nanoparticles (NPs) directly influence the colloidal stability and bio‐nano interface, which makes the study of these factors extremely important for NPs applicability. Here, we report the influence of pH and ionic strength in the size, surface charge, and antimicrobial activity of chitosan/rhamnolipid nanoparticles (C/RL‐NPs), synthesized by mixing C and RL in the proportion of 1:1, with the dropwise addition of TPP (sodium tripolyphosphate) in the molar ratio of 1:2.5:1.3, r… Show more

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Cited by 9 publications
(2 citation statements)
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References 47 publications
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“…When biopolymers containing charged groups are immersed in a solution, these groups attract ions from the surroundings, leading to an interaction that screens the charges on the biopolymer. [ 96 ] This phenomenon alters the balance of forces governing the biopolymer's structure and interactions with the solvent. As the concentration of ions in the solution increases, the screening effect intensifies, weakening the electrostatic repulsion between charged groups in the biopolymer network.…”
Section: Biopolymer‐based Aerogels; Functionalized Platformsmentioning
confidence: 99%
“…When biopolymers containing charged groups are immersed in a solution, these groups attract ions from the surroundings, leading to an interaction that screens the charges on the biopolymer. [ 96 ] This phenomenon alters the balance of forces governing the biopolymer's structure and interactions with the solvent. As the concentration of ions in the solution increases, the screening effect intensifies, weakening the electrostatic repulsion between charged groups in the biopolymer network.…”
Section: Biopolymer‐based Aerogels; Functionalized Platformsmentioning
confidence: 99%
“…Among the statistical methods, response surface methodology (RSM) has been widely used in the optimisation of fermentation media. RSM is a collection of statistical techniques used to design experiments, establish models, evaluate the effects of factors and find optimal conditions (Marangon et al 2021). This is a statistically designed experiment in which several factors change simultaneously.…”
Section: Introductionmentioning
confidence: 99%