2011
DOI: 10.1021/la203432v
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Quantification of a Single Aggregate Inner Porosity and Pore Accessibility Using Hard X-ray Phase-Contrast Nanotomography

Abstract: The 3D structure of three individual aggregates composed of 165 nm polystyrene primary particles is revealed nondestructively by hard X-ray phase-contrast synchrotron nanotomography. Three-dimensional image analysis allows us for the first time to obtain the complex inner porosity of the entire aggregate. It is demonstrated that despite their rather compact structure, characterized by a fractal dimension equal to 2.7, the produced aggregates are still porous, with porosity increasing with its size. Generated p… Show more

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Cited by 12 publications
(10 citation statements)
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References 27 publications
(29 reference statements)
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“…S5, together with the 3D continuous approach and 3D MIP simulation plots used in the calculation, Fig. S6, according to 53 ), in agreement with the results of porosity illustrated in Fig. 6.
Figure 7Pore accessibility ratio of the intra-aggregate pore space for the spherical entities.
…”
Section: Resultssupporting
confidence: 82%
See 1 more Smart Citation
“…S5, together with the 3D continuous approach and 3D MIP simulation plots used in the calculation, Fig. S6, according to 53 ), in agreement with the results of porosity illustrated in Fig. 6.
Figure 7Pore accessibility ratio of the intra-aggregate pore space for the spherical entities.
…”
Section: Resultssupporting
confidence: 82%
“…Further analysis of pore accessibility ratio was conducted applying the Pore Size Distribution (PSD) plugin 52 , implemented in Fiji 44 . The same procedure, the ratio between the constrained PSD obtained from the MIP simulations and the unconstrained PSD obtained from 3D continuous approach, as further described in 53 was applied for calculation of pore accessibility ratio. The MIP simulations were calculated using intrusion only from the side of application of consolidation agents.…”
Section: Methodsmentioning
confidence: 99%
“…Contrast in most computed tomography (CT) data sets depends on differences in X-ray absorption (Stock, 1999(Stock, , 2008Maire & Withers, 2014). In addition to being absorbed, X-rays are also refracted within specimens, and differences in X-ray refractive index can be the input for CT (Trtik et al, 2011;Edgecombe et al, 2012;Pfeiffer et al, 2013). These phase contrast reconstructions are useful for differentiating soft tissue types or materials with very similar absorption characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…XPCI has been applied on porous samples using the grating-based technique at synchrotron facility and with a conventional X-ray tube [32,33]. High resolution phase-contrast tomography has been achieved using methods such as the Zernike phase-contrast method and ptychography, at synchrotron sources [34,35]. A complex refractive index was retrieved from the phase and absorption signal.…”
Section: Resultsmentioning
confidence: 99%