2018
DOI: 10.14311/ap.2018.58.0253
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Rapid Visualization of the Mass Distribution Profile of Electrospun Layers

Abstract: Nanofibrous materials are currently widely used in many different areas. One of the technologies commonly used for their production is electrospinning. The mass distribution in a produced nanofibrous layer is a crucial factor especially for filtration applications and active ingredients or drug release applications. Image analysis is an efficient non-destructive method of a mass distribution determination, which has already been used in the evaluation of textiles and melt-blown webs, but so far only a few publ… Show more

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Cited by 1 publication
(2 citation statements)
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“…These initial experiments were evaluated visually and using image analysis tools. The image analysis was based on the fact that the pixel intensity of an image of a deposited layer photographed against light corresponds with the thickness of the layer [14,15]. Figure 4 shows images of layers deposited at different movement speeds of the moving body above the spinning electrode and of the belt.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…These initial experiments were evaluated visually and using image analysis tools. The image analysis was based on the fact that the pixel intensity of an image of a deposited layer photographed against light corresponds with the thickness of the layer [14,15]. Figure 4 shows images of layers deposited at different movement speeds of the moving body above the spinning electrode and of the belt.…”
Section: Resultsmentioning
confidence: 99%
“…The thickness homogeneity of a nanofibrous layer can be evaluated using several different methods. One method suitable for the evaluation of the thickness homogeneity of low-weight nanofibrous layers that cannot be removed from the substrate in one piece consists of analyzing the intensity of light passing through such a layer, or more precisely, in analyzing its absorption by the nanofibrous layer manifested in lower pixel intensities of its images in places of greater thickness [14]. This method allows researchers to quickly assess the thickness distribution across the layer; however, different pixel intensities are not correlated with local differences in area weight.…”
Section: Hypothesismentioning
confidence: 99%