Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis
In this paper, we show that laser speckle pattern provides useful information toward revealing discrimination between nanofibers and membranes. Chitosan materials particularly organosoluble chitosan derivatives have a number of applications. The surface characteristics of these materials are very cr...
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my.um.eprints.252532020-08-05T04:03:02Z http://eprints.um.edu.my/25253/ Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis Rizwan, Muhammad Ganjkhani, Yasaman Farzam Rad, Vahideh Bazzar, Maasoomeh Yar, Muhammad Yahya, Rosiyah Moradi, Ali‐Reza Q Science (General) QD Chemistry In this paper, we show that laser speckle pattern provides useful information toward revealing discrimination between nanofibers and membranes. Chitosan materials particularly organosoluble chitosan derivatives have a number of applications. The surface characteristics of these materials are very critical for specific applications. The analysis of laser speckles, both numerical and graphical, includes information about the surface structure. The development of digital electronics brought the ease of image processing and has opened new perspectives for a spectrum of laser speckle analysis (LASCA) applications. Our results show reasonable differences between the LASCA parameters of nanofibers and membranes. The methodology may be considered as a quantitative assessment tool for similar samples. © 2019 John Wiley & Sons, Ltd. Wiley 2020 Article PeerReviewed Rizwan, Muhammad and Ganjkhani, Yasaman and Farzam Rad, Vahideh and Bazzar, Maasoomeh and Yar, Muhammad and Yahya, Rosiyah and Moradi, Ali‐Reza (2020) Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis. Surface and Interface Analysis, 52 (4). pp. 132-139. ISSN 0142-2421 https://doi.org/10.1002/sia.6731 doi:10.1002/sia.6731 |
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Q Science (General) QD Chemistry Rizwan, Muhammad Ganjkhani, Yasaman Farzam Rad, Vahideh Bazzar, Maasoomeh Yar, Muhammad Yahya, Rosiyah Moradi, Ali‐Reza Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
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In this paper, we show that laser speckle pattern provides useful information toward revealing discrimination between nanofibers and membranes. Chitosan materials particularly organosoluble chitosan derivatives have a number of applications. The surface characteristics of these materials are very critical for specific applications. The analysis of laser speckles, both numerical and graphical, includes information about the surface structure. The development of digital electronics brought the ease of image processing and has opened new perspectives for a spectrum of laser speckle analysis (LASCA) applications. Our results show reasonable differences between the LASCA parameters of nanofibers and membranes. The methodology may be considered as a quantitative assessment tool for similar samples. © 2019 John Wiley & Sons, Ltd. |
format |
Article |
author |
Rizwan, Muhammad Ganjkhani, Yasaman Farzam Rad, Vahideh Bazzar, Maasoomeh Yar, Muhammad Yahya, Rosiyah Moradi, Ali‐Reza |
author_facet |
Rizwan, Muhammad Ganjkhani, Yasaman Farzam Rad, Vahideh Bazzar, Maasoomeh Yar, Muhammad Yahya, Rosiyah Moradi, Ali‐Reza |
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Rizwan, Muhammad |
title |
Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
title_short |
Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
title_full |
Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
title_fullStr |
Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
title_full_unstemmed |
Surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
title_sort |
surface characterizations of membranes and electrospun chitosan derivatives by optical speckle analysis |
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Wiley |
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2020 |
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http://eprints.um.edu.my/25253/ https://doi.org/10.1002/sia.6731 |
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1680857013951660032 |
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13.211869 |