Development of Observation Method for Internal Structure of Pressed Foundation by X-ray CT using Synchrotron Radiation

The physical properties of pressed foundation (PF) are affected not only by the composition of the ingredients but also by the internal structure of the molded product. In this study, we tried to observe the internal structure of PF moldings in three dimensions and with high resolution and investigated internal structural factors that correlate with the physical properties of PF. As a result, the powders constituting the PF were detected with sub-micron resolution by synchrotron X-ray CT measurements. Furthermore, the orientation of the plate-like powder was found to correlate with the feel properties of PF.

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Publication Details

Journal
Journal of the Society of Powder Technology Japan
Published
2024-08-10
DOI
https://doi.org/10.4164/sptj.61.499
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Development of Observation Method for Internal Structure of Pressed Foundation by X-ray CT using Synchrotron Radiation

Naoaki Toyoda
Journal of the Society of Powder Technology Japan
Radiomics and Machine Learning in Medical Imaging
article

Development of Observation Method for Internal Structure of Pressed Foundation by X-ray CT using Synchrotron Radiation

Naoaki Toyoda
article en

Abstract

The physical properties of pressed foundation (PF) are affected not only by the composition of the ingredients but also by the internal structure of the molded product. In this study, we tried to observe the internal structure of PF moldings in three dimensions and with high resolution and investigated internal structural factors that correlate with the physical properties of PF. As a result, the powders constituting the PF were detected with sub-micron resolution by synchrotron X-ray CT measurements. Furthermore, the orientation of the plate-like powder was found to correlate with the feel properties of PF.

Journal of the Society of Powder Technology JapanVol. 61(8)
Cosmetics Europe (BE)
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
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