Characterization and quantification of calcite distribution in MICP-treated sand using μ-XRF image processing technique
A new approach integrating micro X-ray fluorescence (μ-XRF) and digital image processing is proposed to quantify the spatial distribution of calcium carbonate crystals for microbial-induced calcite precipitation (MICP)-treated sand. Scanning the entire MICP-treated sample slice with the μ-XRF imagin...
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description | A new approach integrating micro X-ray fluorescence (μ-XRF) and digital image processing is proposed to quantify the spatial distribution of calcium carbonate crystals for microbial-induced calcite precipitation (MICP)-treated sand. Scanning the entire MICP-treated sample slice with the μ-XRF imaging method presents an overview of the distribution of Si and Ca elements, corresponding to the distributions of quartz sand and calcium carbonate particles, respectively. To improve the accuracy of the μ-XRF-imaging technique, scanning electron microscope tests were conducted and used as a basis for calibrating the segmentation threshold. μ-XRF images reveal that MICP effectively reduces the soil porosity and enhances the inter-particle contacts. Various quantification indexes (including area proportion, apparent porosity, apparent calcium carbonate content and pore filling rate) obtained through quantitative analysis of the μ-XRF image highlight the heterogeneous distribution of calcite precipitations at inter-particle contacts. The advantages and limitations of μ-XRF imaging technique were discussed, revealing its potential and further improvements needed for efficient, large-scale bio-cemented soil characterizations. This study presents a new approach to microstructural characterization of bio-cemented soils, and provides microscopic insights into the governing bio-cementation mechanisms. |
doi_str_mv | 10.1007/s11440-023-01921-5 |
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Scanning the entire MICP-treated sample slice with the μ-XRF imaging method presents an overview of the distribution of Si and Ca elements, corresponding to the distributions of quartz sand and calcium carbonate particles, respectively. To improve the accuracy of the μ-XRF-imaging technique, scanning electron microscope tests were conducted and used as a basis for calibrating the segmentation threshold. μ-XRF images reveal that MICP effectively reduces the soil porosity and enhances the inter-particle contacts. Various quantification indexes (including area proportion, apparent porosity, apparent calcium carbonate content and pore filling rate) obtained through quantitative analysis of the μ-XRF image highlight the heterogeneous distribution of calcite precipitations at inter-particle contacts. The advantages and limitations of μ-XRF imaging technique were discussed, revealing its potential and further improvements needed for efficient, large-scale bio-cemented soil characterizations. This study presents a new approach to microstructural characterization of bio-cemented soils, and provides microscopic insights into the governing bio-cementation mechanisms.</description><identifier>ISSN: 1861-1125</identifier><identifier>EISSN: 1861-1133</identifier><identifier>DOI: 10.1007/s11440-023-01921-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Calcite ; Calcium ; Calcium carbonate ; Calcium carbonates ; Carbonates ; Cementation ; Chemical precipitation ; Complex Fluids and Microfluidics ; Crystals ; Digital imaging ; Distribution ; Electron microscopes ; Engineering ; Fluorescence ; Foundations ; Geoengineering ; Geotechnical Engineering & Applied Earth Sciences ; Hydraulics ; Image processing ; Image segmentation ; Imaging techniques ; Microorganisms ; Porosity ; Research Paper ; Sand ; Scanning electron microscopy ; Soft and Granular Matter ; Soil ; Soil porosity ; Soil Science & Conservation ; Soils ; Solid Mechanics ; Spatial distribution ; X ray fluorescence analysis ; X-ray fluorescence</subject><ispartof>Acta geotechnica, 2024, Vol.19 (1), p.115-129</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-550dd2f6876f688af1f255f499ab245a0345da32fd75809d0d10659f305952823</citedby><cites>FETCH-LOGICAL-c319t-550dd2f6876f688af1f255f499ab245a0345da32fd75809d0d10659f305952823</cites><orcidid>0000-0002-6419-6116</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11440-023-01921-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11440-023-01921-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Lv, Chao</creatorcontrib><creatorcontrib>Li, Wei-Qiang</creatorcontrib><creatorcontrib>Tang, Chao-Sheng</creatorcontrib><creatorcontrib>Zhu, Cheng</creatorcontrib><creatorcontrib>Pan, Xiao-Hua</creatorcontrib><creatorcontrib>Zhang, Xiying</creatorcontrib><creatorcontrib>Shi, Bin</creatorcontrib><title>Characterization and quantification of calcite distribution in MICP-treated sand using μ-XRF image processing technique</title><title>Acta geotechnica</title><addtitle>Acta Geotech</addtitle><description>A new approach integrating micro X-ray fluorescence (μ-XRF) and digital image processing is proposed to quantify the spatial distribution of calcium carbonate crystals for microbial-induced calcite precipitation (MICP)-treated sand. Scanning the entire MICP-treated sample slice with the μ-XRF imaging method presents an overview of the distribution of Si and Ca elements, corresponding to the distributions of quartz sand and calcium carbonate particles, respectively. To improve the accuracy of the μ-XRF-imaging technique, scanning electron microscope tests were conducted and used as a basis for calibrating the segmentation threshold. μ-XRF images reveal that MICP effectively reduces the soil porosity and enhances the inter-particle contacts. Various quantification indexes (including area proportion, apparent porosity, apparent calcium carbonate content and pore filling rate) obtained through quantitative analysis of the μ-XRF image highlight the heterogeneous distribution of calcite precipitations at inter-particle contacts. The advantages and limitations of μ-XRF imaging technique were discussed, revealing its potential and further improvements needed for efficient, large-scale bio-cemented soil characterizations. This study presents a new approach to microstructural characterization of bio-cemented soils, and provides microscopic insights into the governing bio-cementation mechanisms.</description><subject>Calcite</subject><subject>Calcium</subject><subject>Calcium carbonate</subject><subject>Calcium carbonates</subject><subject>Carbonates</subject><subject>Cementation</subject><subject>Chemical precipitation</subject><subject>Complex Fluids and Microfluidics</subject><subject>Crystals</subject><subject>Digital imaging</subject><subject>Distribution</subject><subject>Electron microscopes</subject><subject>Engineering</subject><subject>Fluorescence</subject><subject>Foundations</subject><subject>Geoengineering</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydraulics</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Imaging techniques</subject><subject>Microorganisms</subject><subject>Porosity</subject><subject>Research Paper</subject><subject>Sand</subject><subject>Scanning electron microscopy</subject><subject>Soft and Granular Matter</subject><subject>Soil</subject><subject>Soil porosity</subject><subject>Soil Science & Conservation</subject><subject>Soils</subject><subject>Solid Mechanics</subject><subject>Spatial distribution</subject><subject>X ray fluorescence analysis</subject><subject>X-ray fluorescence</subject><issn>1861-1125</issn><issn>1861-1133</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UMtKAzEUDaJgrf6Aq4DraB6TmclSBh-FiiIK7kI6SdqUmmmTDKjf5jf4TaYd0Z2bey-Hc-45HABOCT4nGFcXkZCiwAhThjARlCC-B0akLgkihLH935vyQ3AU4xLjktGiHIG3ZqGCapMJ7kMl13movIabXvnkrGsHqLOwVavWJQO1iym4Wb_DnYd3k-YBpWBUMhrGrbaPzs_h1yd6ebyG7lXNDVyHrjVxhyfTLrzb9OYYHFi1iubkZ4_B8_XVU3OLpvc3k-ZyilpGREKcY62pLeuqzKNWlljKuS2EUDNacIVZwbVi1OqK11horAkuubAMc8FpTdkYnA1_c4hsG5Ncdn3w2VJSQWomKizqzKIDqw1djMFYuQ45e3iXBMttw3JoWOaG5a5hybOIDaKYyX5uwt_rf1TfnLp_fg</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Lv, Chao</creator><creator>Li, Wei-Qiang</creator><creator>Tang, Chao-Sheng</creator><creator>Zhu, Cheng</creator><creator>Pan, Xiao-Hua</creator><creator>Zhang, Xiying</creator><creator>Shi, Bin</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-6419-6116</orcidid></search><sort><creationdate>2024</creationdate><title>Characterization and quantification of calcite distribution in MICP-treated sand using μ-XRF image processing technique</title><author>Lv, Chao ; Li, Wei-Qiang ; Tang, Chao-Sheng ; Zhu, Cheng ; Pan, Xiao-Hua ; Zhang, Xiying ; Shi, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-550dd2f6876f688af1f255f499ab245a0345da32fd75809d0d10659f305952823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Calcite</topic><topic>Calcium</topic><topic>Calcium carbonate</topic><topic>Calcium carbonates</topic><topic>Carbonates</topic><topic>Cementation</topic><topic>Chemical precipitation</topic><topic>Complex Fluids and Microfluidics</topic><topic>Crystals</topic><topic>Digital imaging</topic><topic>Distribution</topic><topic>Electron microscopes</topic><topic>Engineering</topic><topic>Fluorescence</topic><topic>Foundations</topic><topic>Geoengineering</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydraulics</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Imaging techniques</topic><topic>Microorganisms</topic><topic>Porosity</topic><topic>Research Paper</topic><topic>Sand</topic><topic>Scanning electron microscopy</topic><topic>Soft and Granular Matter</topic><topic>Soil</topic><topic>Soil porosity</topic><topic>Soil Science & Conservation</topic><topic>Soils</topic><topic>Solid Mechanics</topic><topic>Spatial distribution</topic><topic>X ray fluorescence analysis</topic><topic>X-ray fluorescence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lv, Chao</creatorcontrib><creatorcontrib>Li, Wei-Qiang</creatorcontrib><creatorcontrib>Tang, Chao-Sheng</creatorcontrib><creatorcontrib>Zhu, Cheng</creatorcontrib><creatorcontrib>Pan, Xiao-Hua</creatorcontrib><creatorcontrib>Zhang, Xiying</creatorcontrib><creatorcontrib>Shi, Bin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Acta geotechnica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lv, Chao</au><au>Li, Wei-Qiang</au><au>Tang, Chao-Sheng</au><au>Zhu, Cheng</au><au>Pan, Xiao-Hua</au><au>Zhang, Xiying</au><au>Shi, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization and quantification of calcite distribution in MICP-treated sand using μ-XRF image processing technique</atitle><jtitle>Acta geotechnica</jtitle><stitle>Acta Geotech</stitle><date>2024</date><risdate>2024</risdate><volume>19</volume><issue>1</issue><spage>115</spage><epage>129</epage><pages>115-129</pages><issn>1861-1125</issn><eissn>1861-1133</eissn><abstract>A new approach integrating micro X-ray fluorescence (μ-XRF) and digital image processing is proposed to quantify the spatial distribution of calcium carbonate crystals for microbial-induced calcite precipitation (MICP)-treated sand. Scanning the entire MICP-treated sample slice with the μ-XRF imaging method presents an overview of the distribution of Si and Ca elements, corresponding to the distributions of quartz sand and calcium carbonate particles, respectively. To improve the accuracy of the μ-XRF-imaging technique, scanning electron microscope tests were conducted and used as a basis for calibrating the segmentation threshold. μ-XRF images reveal that MICP effectively reduces the soil porosity and enhances the inter-particle contacts. Various quantification indexes (including area proportion, apparent porosity, apparent calcium carbonate content and pore filling rate) obtained through quantitative analysis of the μ-XRF image highlight the heterogeneous distribution of calcite precipitations at inter-particle contacts. The advantages and limitations of μ-XRF imaging technique were discussed, revealing its potential and further improvements needed for efficient, large-scale bio-cemented soil characterizations. This study presents a new approach to microstructural characterization of bio-cemented soils, and provides microscopic insights into the governing bio-cementation mechanisms.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11440-023-01921-5</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-6419-6116</orcidid></addata></record> |
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subjects | Calcite Calcium Calcium carbonate Calcium carbonates Carbonates Cementation Chemical precipitation Complex Fluids and Microfluidics Crystals Digital imaging Distribution Electron microscopes Engineering Fluorescence Foundations Geoengineering Geotechnical Engineering & Applied Earth Sciences Hydraulics Image processing Image segmentation Imaging techniques Microorganisms Porosity Research Paper Sand Scanning electron microscopy Soft and Granular Matter Soil Soil porosity Soil Science & Conservation Soils Solid Mechanics Spatial distribution X ray fluorescence analysis X-ray fluorescence |
title | Characterization and quantification of calcite distribution in MICP-treated sand using μ-XRF image processing technique |
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