Reducing Liposome Size with Ultrasound: Bimodal Size Distributions

Woodbury, Dixon J.; Richardson, Eric S.; Grigg, Aaron W.; Welling, Rodney D.; Knudson, Brian H.

doi:10.1080/08982100500528842

Cited by 81 publications

(69 citation statements)

References 47 publications

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“…This can be obtained by applying an ultrasonic irradiation to the suspensions of MLVs. 29 The resulting small ULVs are purified by ultracentrifugation. The membrane-extrusion method reduces the size of the liposomes (large ULVs or MLVs) by passing them through a membrane filter with a defined pore size.…”

Section: Methods For the Preparation Of Liposomesmentioning

confidence: 99%

Liposomes as nanomedical devices

Bozzuto¹,

Molinari²

2015

IJN

1,738

1,114

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Since their discovery in the 1960s, liposomes have been studied in depth, and they continue to constitute a field of intense research. Liposomes are valued for their biological and technological advantages, and are considered to be the most successful drug-carrier system known to date. Notable progress has been made, and several biomedical applications of liposomes are either in clinical trials, are about to be put on the market, or have already been approved for public use. In this review, we briefly analyze how the efficacy of liposomes depends on the nature of their components and their size, surface charge, and lipidic organization. Moreover, we discuss the influence of the physicochemical properties of liposomes on their interaction with cells, half-life, ability to enter tissues, and final fate in vivo. Finally, we describe some strategies developed to overcome limitations of the “first-generation” liposomes, and liposome-based drugs on the market and in clinical trials.

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Section: Methods For the Preparation Of Liposomesmentioning

confidence: 99%

Liposomes as nanomedical devices

Bozzuto¹,

Molinari²

2015

IJN

1,738

1,114

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“…Dynamic light scattering (DLS) can be employed for detailed characterizations of vesicles and liposomes and has been extensively used as such to study vesicle sizes [11,12] and size distributions [13,14]. Further, it is capable to detect and quantifiy the size increase after vesicle aggregation and fusion [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Synaptic vesicles studied by dynamic light scattering

et al. 2011

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Abstract. The size polydispersity distribution of synaptic vesicles (SVs) is characterized under quasiphysiological conditions by dynamic light scattering (DLS). Highly purified fractions of SVs obtained from rat brain still contain a small amount of larger contaminant structures, which can be quantified by DLS and further reduced by asymmetric-flow field-flow (AFFF) fractionation. The intensity autocorrelation functions g 2(τ ) recorded from these samples are analyzed by a constrained regularization method as well as by an alternative direct modeling approach. The results are in quantitative agreement with the polydispersity obtained from cryogenic electron microscopy of vitrified SVs. Next, different vesicle fusion assays based on samples composed of SVs and small unilamellar proteoliposomes with the fusion proteins syntaxin 1 and SNAP-25A are characterized by DLS. The size increase of the proteoliposomes due to SNARE-dependent fusion with SVs is quantified by DLS under quasi-physiological conditions.

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“…Particle size reduction using a conventional method (sonicator) has disadvantages, such as heat production, possibility of chemical degradation of drug, and non-uniform particle distribution [16]. The top-down method of nanoparticle preparation sometimes retained unreduced particles and showed bimodal size distribution [17]. Moreover, in the use of powder phosphatidylcholine, it was difficult to control thin film formation during solvent evaporation [18].…”

Section: Resultsmentioning

confidence: 99%

Optimization of Luteolin-Loaded Transfersome Using Response Surface Methodology

Setyawati

Surini

Mardliyati³

2017

Int J App Pharm

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Objective: This research was carried out to optimize luteolin-loaded transfersome formula with independent variables such as lipid-surfactant (total lipid) concentration and luteolin concentration.Methods: Luteolin-loaded transfersome was optimized by response surface methodology based on four parameters, namely, particle size (Z-average), polydispersity index, zeta potential, and entrapment efficiency. The transfersome formula was prepared using central composite design, and the selected independent variables were the total lipid (mixture of phospholipid and Tween 80) and luteolin concentrations. 14 formulas of luteolinloaded transfersome were prepared by thin film hydration, followed by the sonication method. Results:The total lipid and luteolin concentration significantly affected the entrapment efficiency only. The other parameters were not affected by a change in these variables. The optimum formula of 4.88% total lipid and 0.5% luteolin with desirability value of 0.609 conformed with the prediction parameters. Vesicle imaging using transmission electron microscopy revealed spherical particles and the occurrence of particle aggregation. The optimum formula of luteolin-loaded transfersome possessed the following characteristics: Particle size of 286.03±8.46 nm, polydispersity index of 0.480±0.013, zeta potential of -18.67±0.379 mV, and entrapment efficiency of 94.97±0.28 %. However, these values did not correspond to the predicted values and were confirmed by the low adjusted and predicted R-squared values. Conclusion:This method can be applied to optimize the entrapment efficiency, and in the future, it can be used for further optimizing formula of transfersome by including more variables.

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Reducing Liposome Size with Ultrasound: Bimodal Size Distributions

Cited by 81 publications

References 47 publications

Liposomes as nanomedical devices

Liposomes as nanomedical devices

Synaptic vesicles studied by dynamic light scattering

Optimization of Luteolin-Loaded Transfersome Using Response Surface Methodology

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