Nanoparticle precipitation in microemulsions: Population balance model and identification of bivariate droplet exchange kernel

Niemann, Björn; Sundmacher, Kai

doi:10.1016/j.jcis.2009.10.066

Cited by 19 publications

(15 citation statements)

References 38 publications

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“…Therefore, a greater amount of surfactant is needed to cover the interaction between oil and aqueous of smaller size nanoemulsion. It also implies that, insufficient of surfactant to achieve adequate nanoemulsion coverage can be led to aggregation and coalescence of the nanoemulsion, thus larger droplet size [ 65 , 66 ]. It has been reported that the droplet size increased when decreasing concentration of surfactant [ 33 , 51 ].…”

Section: Resultsmentioning

confidence: 99%

Optimization of process parameters in preparation of tocotrienol-rich red palm oil-based nanoemulsion stabilized by Tween80-Span 80 using response surface methodology

et al. 2018

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Red palm oil (RPO) is a natural source of Vitamin E (70–80% tocotrienol). It is a potent natural antioxidant that can be used in skin-care products. Its antioxidant property protects skin from inflammation and aging. In our work, a tocotrienol-rich RPO-based nanoemulsion formulation was optimized using response surface methodology (RSM) and formulated using high pressure homogenizer. Effect of the concentration of three independent variables [surfactant (5–15 wt%), co-solvent (10–30 wt%) and homogenization pressure (500–700 bar)] toward two response variables (droplet size, polydispersity index) was studied using central composite design (CCD) coupled to RSM. RSM analysis showed that the experimental data could be fitted into a second-order polynomial model and the coefficients of multiple determination (R2) is 0.9115. The optimized formulation of RPO-based nanoemulsion consisted of 6.09 wt% mixed surfactant [Tween 80/Span 80 (63:37, wt)], 20 wt% glycerol as a co-solvent via homogenization pressure (500 bar). The optimized tocotrienol-rich RPO-based nanoemulsion response values for droplet size and polydispersity index were 119.49nm and 0.286, respectively. The actual values of the formulated nanoemulsion were in good agreement with the predicted values obtained from RSM, thus the optimized compositions have the potential to be used as a nanoemulsion for cosmetic formulations.

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Section: Resultsmentioning

confidence: 99%

Optimization of process parameters in preparation of tocotrienol-rich red palm oil-based nanoemulsion stabilized by Tween80-Span 80 using response surface methodology

et al. 2018

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“…Most of these studies use the Monte Carlo method. The studies carried out in the last four years are focused on several aspects: kinetics of nanoparticle formation ), formation of bimetallic nanoparticles Angelescu et al, 2010), droplet exchange (Niemann & Sundmacher, 2010), cluster coalescence (Kuriyedath et al, 2010), and core-shell nanoparticle formation (Viswanadh et al, 2007).…”

Section: Modeling Of Reactions In Microemulsionsmentioning

confidence: 99%

New Trends on the Synthesis of Inorganic Nanoparticles Using Microemulsions as Confined Reaction Media

Sánchez-Domínguez¹,

Aubery²,

Solans³

2012

Smart Nanoparticles Technology

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“…The lowest particle size was obtained when the surfactant amount was 2 g. ''The optimal amount'' theory provides the possible explanation for this phenomenon. When the surfactant amount is insufficient to coat the entire surface area of the droplets after homogenization, the droplets aggregate with each other to reduce the surface area (Niemann and Sundmacher 2010). By contrast, when the surfactant amount in the oil phase is excessive, the free emulsifier molecules formed within the emulsion ultimately adhere to the droplets and become covered by the excess amount of surfactant.…”

Section: D Contours and 3d Response Surface Plotsmentioning

confidence: 99%

Optimization and characterization of high pressure homogenization produced chemically modified starch nanoparticles

Ding

Kan

2017

J Food Sci Technol

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Chemically modified starch (RS4) nanoparticles were synthesized through homogenization and water-in-oil mini-emulsion cross-linking. Homogenization was optimized with regard to z-average diameter by using a three-factor-three-level Box-Behnken design. Homogenization pressure (X), oil/water ratio (X), and surfactant (X) were selected as independent variables, whereas z-average diameter was considered as a dependent variable. The following optimum preparation conditions were obtained to achieve the minimum average size of these nanoparticles: 50 MPa homogenization pressure, 10:1 oil/water ratio, and 2 g surfactant amount, when the predicted z-average diameter was 303.6 nm. The physicochemical properties of these nanoparticles were also determined. Dynamic light scattering experiments revealed that RS4 nanoparticles measuring a PdI of 0.380 and an average size of approximately 300 nm, which was very close to the predicted z-average diameter (303.6 nm). The absolute value of zeta potential of RS4 nanoparticles (39.7 mV) was higher than RS4 (32.4 mV), with strengthened swelling power. X-ray diffraction results revealed that homogenization induced a disruption in crystalline structure of RS4 nanoparticles led to amorphous or low-crystallinity. Results of stability analysis showed that RS4 nanosuspensions (particle size) had good stability at 30 °C over 24 h.

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Nanoparticle precipitation in microemulsions: Population balance model and identification of bivariate droplet exchange kernel

Cited by 19 publications

References 38 publications

Optimization of process parameters in preparation of tocotrienol-rich red palm oil-based nanoemulsion stabilized by Tween80-Span 80 using response surface methodology

Optimization of process parameters in preparation of tocotrienol-rich red palm oil-based nanoemulsion stabilized by Tween80-Span 80 using response surface methodology

New Trends on the Synthesis of Inorganic Nanoparticles Using Microemulsions as Confined Reaction Media

Optimization and characterization of high pressure homogenization produced chemically modified starch nanoparticles

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