The three-dimensional elemental distribution based on the surface topography by confocal 3D-XRF analysis
Confocal three-dimensional micro-X-ray fluorescence (3D-XRF) is a good surface analysis technology widely used to analyse elements and elemental distributions. However, it has rarely been applied to analyse surface topography and 3D elemental mapping in surface morphology. In this study, a surface a...
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| Veröffentlicht in: | Applied physics. A, Materials science & processing Materials science & processing, 2016-09, Vol.122 (9), p.1-7, Article 856 |
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| creator | Yi, Longtao Qin, Min Wang, Kai Lin, Xue Peng, Shiqi Sun, Tianxi Liu, Zhiguo |
| description | Confocal three-dimensional micro-X-ray fluorescence (3D-XRF) is a good surface analysis technology widely used to analyse elements and elemental distributions. However, it has rarely been applied to analyse surface topography and 3D elemental mapping in surface morphology. In this study, a surface adaptive algorithm using the progressive approximation method was designed to obtain surface topography. A series of 3D elemental mapping analyses in surface morphology were performed in laboratories to analyse painted pottery fragments from the Majiayao Culture (3300–2900 BC). To the best of our knowledge, for the first time, sample surface topography and 3D elemental mapping were simultaneously obtained. Besides, component and depth analyses were also performed using synchrotron radiation confocal 3D-XRF and tabletop confocal 3D-XRF, respectively. The depth profiles showed that the sample has a layered structure. The 3D elemental mapping showed that the red pigment, black pigment, and pottery coat contain a large amount of Fe, Mn, and Ca, respectively. From the 3D elemental mapping analyses at different depths, a 3D rendering was obtained, clearly showing the 3D distributions of the red pigment, black pigment, and pottery coat. Compared with conventional 3D scanning, this method is time-efficient for analysing 3D elemental distributions and hence especially suitable for samples with non-flat surfaces. |
| doi_str_mv | 10.1007/s00339-016-0393-0 |
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However, it has rarely been applied to analyse surface topography and 3D elemental mapping in surface morphology. In this study, a surface adaptive algorithm using the progressive approximation method was designed to obtain surface topography. A series of 3D elemental mapping analyses in surface morphology were performed in laboratories to analyse painted pottery fragments from the Majiayao Culture (3300–2900 BC). To the best of our knowledge, for the first time, sample surface topography and 3D elemental mapping were simultaneously obtained. Besides, component and depth analyses were also performed using synchrotron radiation confocal 3D-XRF and tabletop confocal 3D-XRF, respectively. The depth profiles showed that the sample has a layered structure. The 3D elemental mapping showed that the red pigment, black pigment, and pottery coat contain a large amount of Fe, Mn, and Ca, respectively. From the 3D elemental mapping analyses at different depths, a 3D rendering was obtained, clearly showing the 3D distributions of the red pigment, black pigment, and pottery coat. Compared with conventional 3D scanning, this method is time-efficient for analysing 3D elemental distributions and hence especially suitable for samples with non-flat surfaces.</description><identifier>ISSN: 0947-8396</identifier><identifier>EISSN: 1432-0630</identifier><identifier>DOI: 10.1007/s00339-016-0393-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adaptive algorithms ; Applied physics ; Ceramics ; Characterization and Evaluation of Materials ; Coating ; Condensed Matter Physics ; Confocal ; Flat surfaces ; Fragments ; Machines ; Manganese ; Manufacturing ; Mapping ; Materials science ; Morphology ; Nanotechnology ; Optical and Electronic Materials ; Paints ; Physics ; Physics and Astronomy ; Pigments ; Pottery ; Processes ; Protective coatings ; Red pigments ; Surface analysis (chemical) ; Surfaces and Interfaces ; Synchrotron radiation ; Technology assessment ; Thin Films ; Three dimensional analysis ; Topography ; X ray fluorescence analysis ; X-rays</subject><ispartof>Applied physics. 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A, Materials science & processing</title><addtitle>Appl. Phys. A</addtitle><description>Confocal three-dimensional micro-X-ray fluorescence (3D-XRF) is a good surface analysis technology widely used to analyse elements and elemental distributions. However, it has rarely been applied to analyse surface topography and 3D elemental mapping in surface morphology. In this study, a surface adaptive algorithm using the progressive approximation method was designed to obtain surface topography. A series of 3D elemental mapping analyses in surface morphology were performed in laboratories to analyse painted pottery fragments from the Majiayao Culture (3300–2900 BC). To the best of our knowledge, for the first time, sample surface topography and 3D elemental mapping were simultaneously obtained. Besides, component and depth analyses were also performed using synchrotron radiation confocal 3D-XRF and tabletop confocal 3D-XRF, respectively. The depth profiles showed that the sample has a layered structure. The 3D elemental mapping showed that the red pigment, black pigment, and pottery coat contain a large amount of Fe, Mn, and Ca, respectively. From the 3D elemental mapping analyses at different depths, a 3D rendering was obtained, clearly showing the 3D distributions of the red pigment, black pigment, and pottery coat. Compared with conventional 3D scanning, this method is time-efficient for analysing 3D elemental distributions and hence especially suitable for samples with non-flat surfaces.</description><subject>Adaptive algorithms</subject><subject>Applied physics</subject><subject>Ceramics</subject><subject>Characterization and Evaluation of Materials</subject><subject>Coating</subject><subject>Condensed Matter Physics</subject><subject>Confocal</subject><subject>Flat surfaces</subject><subject>Fragments</subject><subject>Machines</subject><subject>Manganese</subject><subject>Manufacturing</subject><subject>Mapping</subject><subject>Materials science</subject><subject>Morphology</subject><subject>Nanotechnology</subject><subject>Optical and Electronic Materials</subject><subject>Paints</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Pigments</subject><subject>Pottery</subject><subject>Processes</subject><subject>Protective coatings</subject><subject>Red pigments</subject><subject>Surface analysis (chemical)</subject><subject>Surfaces and Interfaces</subject><subject>Synchrotron radiation</subject><subject>Technology assessment</subject><subject>Thin Films</subject><subject>Three dimensional analysis</subject><subject>Topography</subject><subject>X ray fluorescence analysis</subject><subject>X-rays</subject><issn>0947-8396</issn><issn>1432-0630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LwzAYh4MoOKcfwFvBi5fomz9t0qNMp8JAkAneQpqma0fX1KQ99NubUQ8imEPyhjzPj_BD6JrAHQEQ9wGAsRwDyTCwnGE4QQvCGcWQMThFC8i5wJLl2Tm6CGEPcXFKF6je1jYZam8tLpuD7ULjOt0mtrXxMsSpbMLgm2Ic4kNS6GDLJA5DtMLoK22i7Xq387qvp6SYEuO6ypkoskf8-b5OdIybQhMu0Vml22Cvfs4l-lg_bVcvePP2_Lp62GDDeD5gTlOdZYQUEipT6pJwyC1LRcFSm5JcyFRUxpCSZ6nQsuBFRakuOc0pF9Gs2BLdzrm9d1-jDYM6NMHYttWddWNQREoAQo8lLdHNH3TvRh__O1NSECFppMhMGe9C8LZSvW8O2k-KgDp2r-buVexeHWPjtkR0dkJku531v5L_lb4BiSOGbA</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Yi, Longtao</creator><creator>Qin, Min</creator><creator>Wang, Kai</creator><creator>Lin, Xue</creator><creator>Peng, Shiqi</creator><creator>Sun, Tianxi</creator><creator>Liu, Zhiguo</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>H8D</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20160901</creationdate><title>The three-dimensional elemental distribution based on the surface topography by confocal 3D-XRF analysis</title><author>Yi, Longtao ; Qin, Min ; Wang, Kai ; Lin, Xue ; Peng, Shiqi ; Sun, Tianxi ; Liu, Zhiguo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-425a6611b80fcdad1409e357b35e5197857fcc1d4657a8b4bf22ad4292475a6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adaptive algorithms</topic><topic>Applied physics</topic><topic>Ceramics</topic><topic>Characterization and Evaluation of Materials</topic><topic>Coating</topic><topic>Condensed Matter Physics</topic><topic>Confocal</topic><topic>Flat surfaces</topic><topic>Fragments</topic><topic>Machines</topic><topic>Manganese</topic><topic>Manufacturing</topic><topic>Mapping</topic><topic>Materials science</topic><topic>Morphology</topic><topic>Nanotechnology</topic><topic>Optical and Electronic Materials</topic><topic>Paints</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Pigments</topic><topic>Pottery</topic><topic>Processes</topic><topic>Protective coatings</topic><topic>Red pigments</topic><topic>Surface analysis (chemical)</topic><topic>Surfaces and Interfaces</topic><topic>Synchrotron radiation</topic><topic>Technology assessment</topic><topic>Thin Films</topic><topic>Three dimensional analysis</topic><topic>Topography</topic><topic>X ray fluorescence analysis</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yi, Longtao</creatorcontrib><creatorcontrib>Qin, Min</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Lin, Xue</creatorcontrib><creatorcontrib>Peng, Shiqi</creatorcontrib><creatorcontrib>Sun, Tianxi</creatorcontrib><creatorcontrib>Liu, Zhiguo</creatorcontrib><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Applied physics. A, Materials science & processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yi, Longtao</au><au>Qin, Min</au><au>Wang, Kai</au><au>Lin, Xue</au><au>Peng, Shiqi</au><au>Sun, Tianxi</au><au>Liu, Zhiguo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The three-dimensional elemental distribution based on the surface topography by confocal 3D-XRF analysis</atitle><jtitle>Applied physics. A, Materials science & processing</jtitle><stitle>Appl. Phys. A</stitle><date>2016-09-01</date><risdate>2016</risdate><volume>122</volume><issue>9</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><artnum>856</artnum><issn>0947-8396</issn><eissn>1432-0630</eissn><abstract>Confocal three-dimensional micro-X-ray fluorescence (3D-XRF) is a good surface analysis technology widely used to analyse elements and elemental distributions. However, it has rarely been applied to analyse surface topography and 3D elemental mapping in surface morphology. In this study, a surface adaptive algorithm using the progressive approximation method was designed to obtain surface topography. A series of 3D elemental mapping analyses in surface morphology were performed in laboratories to analyse painted pottery fragments from the Majiayao Culture (3300–2900 BC). To the best of our knowledge, for the first time, sample surface topography and 3D elemental mapping were simultaneously obtained. Besides, component and depth analyses were also performed using synchrotron radiation confocal 3D-XRF and tabletop confocal 3D-XRF, respectively. The depth profiles showed that the sample has a layered structure. The 3D elemental mapping showed that the red pigment, black pigment, and pottery coat contain a large amount of Fe, Mn, and Ca, respectively. From the 3D elemental mapping analyses at different depths, a 3D rendering was obtained, clearly showing the 3D distributions of the red pigment, black pigment, and pottery coat. Compared with conventional 3D scanning, this method is time-efficient for analysing 3D elemental distributions and hence especially suitable for samples with non-flat surfaces.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00339-016-0393-0</doi><tpages>7</tpages></addata></record> |
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| subjects | Adaptive algorithms Applied physics Ceramics Characterization and Evaluation of Materials Coating Condensed Matter Physics Confocal Flat surfaces Fragments Machines Manganese Manufacturing Mapping Materials science Morphology Nanotechnology Optical and Electronic Materials Paints Physics Physics and Astronomy Pigments Pottery Processes Protective coatings Red pigments Surface analysis (chemical) Surfaces and Interfaces Synchrotron radiation Technology assessment Thin Films Three dimensional analysis Topography X ray fluorescence analysis X-rays |
| title | The three-dimensional elemental distribution based on the surface topography by confocal 3D-XRF analysis |
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