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Blazek-Welsh, Almira I.; Rhodes, David G.

doi:10.1023/a:1011037527889

Cited by 70 publications

(25 citation statements)

References 8 publications

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“… 44 . This also was in agreement with our results obtained under SEM that illustrated smooth surface characteristics of PG-loaded niosomes due to the partial change of crystalline nature of PG 42 . In addition, this partial amorphism may lead to the increment of the entrapment efficiency of PG similar to a previous study done by (Sezgin-Bayindir et al .)…”

Section: Resultssupporting

confidence: 93%

“…3b ) which appeared to be smooth due to the filling effect of the surfactant in addition to their thicker layers deposition at deeper invaginations. After dissolution of all components in the solvent, then when solvent evaporated, they crystallized on top of the new surface; that may cause some of the fine crystalline structures to disappear, creating niosomes with smooth surface 42 .…”

Section: Resultsmentioning

confidence: 99%

“…Rheological measurements were useful for the characterization of the visco-elastic properties of aqueous PG hydrogels dispersion and niosomal PG hydrogels. Continuous shear investigations were performed in the tested hydrogel formulations in order to evaluate the shear rate as a function of shear stress 42 as the rheological behavior of the prepared gels is important in drug release. The rheological profiles of all gelling systems of PG are shown in ( Table 6 ) and ( Fig.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

DOE Optimization of Nano-based Carrier of Pregabalin as Hydrogel: New Therapeutic & Chemometric Approaches for Controlled Drug Delivery Systems

Arafa

Ayoub

2017

Sci Rep

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Niosomes entrapping pregabalin (PG) were prepared using span 60 and cholesterol in different molar ratios by hydration method, the remaining PG from the hydrating solution was separated from vesicles by freeze centrifugation. Optimization of nano-based carrier of pregabalin (PG) was achieved. Quality by Design strategy was successfully employed to obtain PG-loaded niosomes with the desired properties. The optimal particle size, drug release and entrapment efficiency were attained by Minitab® program using design of experiment (DOE) that predicted the best parameters by investigating the combined effect of different factors simultaneously. Pareto chart was used in the screening step to exclude the insignificant variables while response surface methodology (RSM) was used in the optimization step to study the significant factors. Best formula was selected to prepare topical hydrogels loaded with niosomal PG using HPMC and Carbopol 934. It was verified, by means of mechanical and rheological tests, that addition of the vesicles to the gel matrix affected significantly gel network. In vitro release and ex vivo permeation experiments were carried out. Delivery of PG molecules followed a Higuchi, non Fickian diffusion. The present work will be of interest for pharmaceutical industry as a controlled transdermal alternative to the conventional oral route.

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Section: Resultssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

DOE Optimization of Nano-based Carrier of Pregabalin as Hydrogel: New Therapeutic & Chemometric Approaches for Controlled Drug Delivery Systems

Arafa

Ayoub

2017

Sci Rep

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“…These properties make an FESEM one of the most effective instruments to observe and analyze microscopic morphology, organization, and composition. This is why an FESEM is widely used in various fields, such as scanning electron microscopy for carbonate sediments and the imaging of bacteria in rocks [1], semiconductor superlattice imaging [2], and the quality prediction of noisome from maltodextrin-based proniosomes [3].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning for Super-Resolution in a Field Emission Scanning Electron Microscope

Gao

Huang

et al. 2019

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A field emission scanning electron microscope (FESEM) is a complex scanning electron microscope with ultra-high-resolution image scanning, instant printing, and output storage capabilities. FESEMs have been widely used in fields such as materials science, biology, and medical science. However, owing to the balance between resolution and field of view (FOV), when locating a target using an FESEM, it is difficult to view specific details in an image with a large FOV and high resolution simultaneously. This paper presents a deep neural network to realize super-resolution of an FESEM image. This technology can effectively improve the resolution of the acquired image without changing the physical structure of the FESEM, thus resolving the constraint problem between the resolution and FOV. Experimental results show that the apply of a deep neural network only requires a single image acquired by an FESEM to be the input. A higher resolution image with a large FOV and excellent noise reduction is obtained within a short period of time. To verify the effect of the model numerically, we evaluated the image quality by using the peak signal-to-noise ratio value and structural similarity index value, which can reach 26.88 dB and 0.7740, respectively. We believe that this technology will improve the quality of FESEM imaging and be of significance in various application fields.

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“…Traditional experiments require more effort, time and materials when a complex formulation needs to be developed. Various experimental designs are useful in developing a formulation requiring less experimentation and providing estimates of the relative significance of different variables 5 . In the work, a Box-Behnken design was used to optimize niosomes containing venlafaxine.…”

Section: Introductionmentioning

confidence: 99%

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2011

IJPSR

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The aim of this study was to investigate the effect of permeation of drug into skin by taking three different vesicle size niosomal formulations. The combined influence of 3 independent variables in the preparation of venlafaxine niosomes by the Ether Injection Method and it was to derive a second order polynomial equation and construct contour plots to predict responses. Seventeen batches were prepared by the Ether Injection Method and evaluated for vesicle size and polydispersity index. Contour plots were constructed to show the effects of X 1, X 2 and X 3 on the vesicle size and polydispersity index. Niosome are acceptable and superior carriers and also have ability to encapsulate hydrophilic and lipophilic drugs and protect them from degradation. Niosomes were characterised for entrapment efficiency, vesicle size and Permeation and drug deposition in the rat skin. Stability of niosomes formulation was studied at two different temperature conditions for 30 days. Niosomes dispersion were found to be stable and preparation of niosomes using factorial design was found to be well suited and sound approach to be stable niosomal formulations. The Box-Behnken design demonstrated the role of the derived equation and contour plots in predicating the values of dependent variables for the preparation and optimisation of venlafaxine niosomal formulations.

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Abstract: These observations provide an indication of the requirements for dry proniosomes to yield niosome suspensions of high quality.

Cited by 70 publications

References 8 publications

DOE Optimization of Nano-based Carrier of Pregabalin as Hydrogel: New Therapeutic & Chemometric Approaches for Controlled Drug Delivery Systems

DOE Optimization of Nano-based Carrier of Pregabalin as Hydrogel: New Therapeutic & Chemometric Approaches for Controlled Drug Delivery Systems

Deep Learning for Super-Resolution in a Field Emission Scanning Electron Microscope

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