Towards multiscale X-ray tomographic imaging in membrane science — A perspective
| العنوان: | Towards multiscale X-ray tomographic imaging in membrane science — A perspective |
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| المؤلفون: | Rudolph-Schöpping, Gregor, Larsson, Emanuel, Nilsson Pingel, Torben, Guizar-Sicairos, Manuel, Villanueva-Perez, Pablo, Hall, Stephen, Lipnizki, Frank |
| المصدر: | Journal of Membrane Science. 690 |
| مصطلحات موضوعية: | analytic method, biofilm, network analysis, phenomena and functions of biological membrane, pore size distribution, radiography, review, three-dimensional imaging, two-dimensional imaging |
| الوصف: | Tomographic X-ray imaging techniques offer novel opportunities for studying membranes and membrane processes in 3D on a spatial resolution not seen before. Traditional 2D imaging techniques used to characterise membranes have limitations that can be overcome by tomographic X-ray imaging. Tomographic X-ray imaging can provide information in 2D/3D or 4D (3D plus time) on membranes, membrane modules, and membrane processes on a scale ranging from micro- to nanometre. They offer the possibility to uncover many fundamental issues related to membrane science, including the detection and monitoring of macroscopic biofilm formation, scaling, and cake build-up. High-resolution nanotomographic X-ray imaging enables even microscopic characterisations such as pore size distribution or pore network analysis. This Perspective paper introduces the tomographic X-ray imaging techniques with the most potential for membrane science: microtomography, nanotomography, holotomography, and ptychotomography, and presents their applications in the literature regarding the field of membrane science. Based on these findings and our experiences opportunities, challenges, and limitations of tomographic X-ray imaging techniques are discussed. It is concluded that in the near future tomographic X-ray imaging techniques will become increasingly common analytical techniques for membrane manufacturers, scientists, and users. |
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| URL الوصول: | https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-67929 https://doi.org/10.1016/j.memsci.2023.122245 |
| قاعدة البيانات: | SwePub |
| تدمد: | 03767388 18733123 |
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| DOI: | 10.1016/j.memsci.2023.122245 |