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Analysis of deep-ocean sediments from the TAG hydrothermal field (MAR, 26° N): application of short-wave infrared reflectance (SWIR) spectra for offshore geochemical exploration
Purpose The cost-efficient methods of analysis, such as rapid short-wave infrared (SWIR) spectral analysis, have been applied for the efficient exploration of critical raw materials (CRM), including mineral components and rare earth elements (REE) from the deep-ocean sediments. Methods Gravity cored...
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Published in: | Journal of soils and sediments 2020-09, Vol.20 (9), p.3472-3486 |
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creator | Milinovic, Jelena Barriga, Fernando J.A.S. Murton, Bramley J. |
description | Purpose
The cost-efficient methods of analysis, such as rapid short-wave infrared (SWIR) spectral analysis, have been applied for the efficient exploration of critical raw materials (CRM), including mineral components and rare earth elements (REE) from the deep-ocean sediments.
Methods
Gravity cored sediment samples were collected during an oceanographic mission to the Trans-Atlantic Geotraverse (TAG) hydrothermal field of the Mid-Atlantic Ridge (MAR, 26° N). SWIR reflectance spectra (dependent variable) of samples were mathematically tested against referent geochemical data (independent variable), obtained by conventional analysis (ICP/OES, ICP/MS), after applied full cross-validation multivariate partial least square regression (CVPLSR). Value of parameter-residual predictive deviation (RPD) was used for evaluation of CVPLSR modeling: RPD > 2.5 (satisfactory calibration model for the screening purposes) and RPD > 5.0 (model adequate for the quality control of the studied elements).
Results
The CVPLSR modeling provided significant results for the determination of several mineral components: major elements (Fe and Si) had the values of RPD equal to 3.65 and 2.84, respectively, which indicated a viable potential for their routine analysis, whereas RPD for Ca was equal to 5.51, thus assuring its quality control by SWIR analysis, in sediment samples of the studied location. Among the REE, Ce (RPD = 2.55) and Er (RPD = 2.59) yielded the most satisfactory results.
Conclusions
The findings highlight the benefit of rapidly obtained empirical SWIR-reflectance data, which can be used for near-real-time exploration of geochemical deposits hosted in deep-ocean sediments. |
doi_str_mv | 10.1007/s11368-020-02691-3 |
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The cost-efficient methods of analysis, such as rapid short-wave infrared (SWIR) spectral analysis, have been applied for the efficient exploration of critical raw materials (CRM), including mineral components and rare earth elements (REE) from the deep-ocean sediments.
Methods
Gravity cored sediment samples were collected during an oceanographic mission to the Trans-Atlantic Geotraverse (TAG) hydrothermal field of the Mid-Atlantic Ridge (MAR, 26° N). SWIR reflectance spectra (dependent variable) of samples were mathematically tested against referent geochemical data (independent variable), obtained by conventional analysis (ICP/OES, ICP/MS), after applied full cross-validation multivariate partial least square regression (CVPLSR). Value of parameter-residual predictive deviation (RPD) was used for evaluation of CVPLSR modeling: RPD > 2.5 (satisfactory calibration model for the screening purposes) and RPD > 5.0 (model adequate for the quality control of the studied elements).
Results
The CVPLSR modeling provided significant results for the determination of several mineral components: major elements (Fe and Si) had the values of RPD equal to 3.65 and 2.84, respectively, which indicated a viable potential for their routine analysis, whereas RPD for Ca was equal to 5.51, thus assuring its quality control by SWIR analysis, in sediment samples of the studied location. Among the REE, Ce (RPD = 2.55) and Er (RPD = 2.59) yielded the most satisfactory results.
Conclusions
The findings highlight the benefit of rapidly obtained empirical SWIR-reflectance data, which can be used for near-real-time exploration of geochemical deposits hosted in deep-ocean sediments.</description><identifier>ISSN: 1439-0108</identifier><identifier>EISSN: 1614-7480</identifier><identifier>DOI: 10.1007/s11368-020-02691-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Components ; Cost analysis ; Dependent variables ; Earth and Environmental Science ; Empirical analysis ; Environment ; Environmental Physics ; Exploration ; Geochemistry ; Gravity ; Hydrothermal fields ; Independent variables ; Infrared analysis ; Infrared spectra ; Major elements ; Methods ; Mid-ocean ridges ; Mineral exploration ; Modelling ; Offshore ; Quality assurance ; Quality control ; Rare earth elements ; Raw materials ; Reflectance ; Regression analysis ; Sec 1 • Sediment Quality and Impact Assessment • Research Article ; Sediment ; Sediment deposits ; Sediment samplers ; Sediment samples ; Sediments ; Short wave radiation ; Soil Science & Conservation ; Spectra ; Spectral analysis ; Spectrum analysis</subject><ispartof>Journal of soils and sediments, 2020-09, Vol.20 (9), p.3472-3486</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-8e1c23f407e4ee2692de54c6c6641dbf837f36f2e93aa04a5a49c913955472023</citedby><cites>FETCH-LOGICAL-c319t-8e1c23f407e4ee2692de54c6c6641dbf837f36f2e93aa04a5a49c913955472023</cites><orcidid>0000-0002-7092-7851</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Milinovic, Jelena</creatorcontrib><creatorcontrib>Barriga, Fernando J.A.S.</creatorcontrib><creatorcontrib>Murton, Bramley J.</creatorcontrib><title>Analysis of deep-ocean sediments from the TAG hydrothermal field (MAR, 26° N): application of short-wave infrared reflectance (SWIR) spectra for offshore geochemical exploration</title><title>Journal of soils and sediments</title><addtitle>J Soils Sediments</addtitle><description>Purpose
The cost-efficient methods of analysis, such as rapid short-wave infrared (SWIR) spectral analysis, have been applied for the efficient exploration of critical raw materials (CRM), including mineral components and rare earth elements (REE) from the deep-ocean sediments.
Methods
Gravity cored sediment samples were collected during an oceanographic mission to the Trans-Atlantic Geotraverse (TAG) hydrothermal field of the Mid-Atlantic Ridge (MAR, 26° N). SWIR reflectance spectra (dependent variable) of samples were mathematically tested against referent geochemical data (independent variable), obtained by conventional analysis (ICP/OES, ICP/MS), after applied full cross-validation multivariate partial least square regression (CVPLSR). Value of parameter-residual predictive deviation (RPD) was used for evaluation of CVPLSR modeling: RPD > 2.5 (satisfactory calibration model for the screening purposes) and RPD > 5.0 (model adequate for the quality control of the studied elements).
Results
The CVPLSR modeling provided significant results for the determination of several mineral components: major elements (Fe and Si) had the values of RPD equal to 3.65 and 2.84, respectively, which indicated a viable potential for their routine analysis, whereas RPD for Ca was equal to 5.51, thus assuring its quality control by SWIR analysis, in sediment samples of the studied location. Among the REE, Ce (RPD = 2.55) and Er (RPD = 2.59) yielded the most satisfactory results.
Conclusions
The findings highlight the benefit of rapidly obtained empirical SWIR-reflectance data, which can be used for near-real-time exploration of geochemical deposits hosted in deep-ocean sediments.</description><subject>Components</subject><subject>Cost analysis</subject><subject>Dependent variables</subject><subject>Earth and Environmental Science</subject><subject>Empirical analysis</subject><subject>Environment</subject><subject>Environmental Physics</subject><subject>Exploration</subject><subject>Geochemistry</subject><subject>Gravity</subject><subject>Hydrothermal fields</subject><subject>Independent variables</subject><subject>Infrared analysis</subject><subject>Infrared spectra</subject><subject>Major elements</subject><subject>Methods</subject><subject>Mid-ocean ridges</subject><subject>Mineral exploration</subject><subject>Modelling</subject><subject>Offshore</subject><subject>Quality assurance</subject><subject>Quality control</subject><subject>Rare earth elements</subject><subject>Raw materials</subject><subject>Reflectance</subject><subject>Regression analysis</subject><subject>Sec 1 • Sediment Quality and Impact Assessment • Research Article</subject><subject>Sediment</subject><subject>Sediment deposits</subject><subject>Sediment samplers</subject><subject>Sediment samples</subject><subject>Sediments</subject><subject>Short wave radiation</subject><subject>Soil Science & Conservation</subject><subject>Spectra</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><issn>1439-0108</issn><issn>1614-7480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kclKBDEQhhtRcH0BTwVeFIxmm3S3t0HcwAVc8BhiuuK0dHfapF3mrcRH8MnMOII3D6FSqf_7IfVn2Saje4zSfD8yJlRBKKfpqJIRsZCtMMUkyWVBF9NdipJQRovlbDXGJ0pFnsYr2ee4M8001hG8gwqxJ96i6SBiVbfYDRFc8C0ME4Tb8QlMplXwqQmtacDV2FSwfTG-3gWuvj7gcucATN83tTVD7buZZZz4MJA384pQdy6YgBUEdA3awXQWYfvm_ux6B2KfHoIB50Oi3IxCeERvJ9gmtwbwvW98-LFdz5acaSJu_Na17O746PbwlJxfnZwdjs-JFawcSIHMcuEkzVEipqXwCkfSKquUZNWDK0TuhHIcS2EMlWZkZGlLJsrRSOaccrGWbc19--CfXzAO-sm_hLSuqLkUqsyFpDKp-Fxlg48xfU33oW5NmGpG9SwbPc9Gp2z0TzZaJEjMoZjE3SOGP-t_qG9ga5No</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Milinovic, Jelena</creator><creator>Barriga, Fernando J.A.S.</creator><creator>Murton, Bramley J.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-7092-7851</orcidid></search><sort><creationdate>20200901</creationdate><title>Analysis of deep-ocean sediments from the TAG hydrothermal field (MAR, 26° N): application of short-wave infrared reflectance (SWIR) spectra for offshore geochemical exploration</title><author>Milinovic, Jelena ; Barriga, Fernando J.A.S. ; Murton, Bramley J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-8e1c23f407e4ee2692de54c6c6641dbf837f36f2e93aa04a5a49c913955472023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Components</topic><topic>Cost analysis</topic><topic>Dependent variables</topic><topic>Earth and Environmental Science</topic><topic>Empirical analysis</topic><topic>Environment</topic><topic>Environmental Physics</topic><topic>Exploration</topic><topic>Geochemistry</topic><topic>Gravity</topic><topic>Hydrothermal fields</topic><topic>Independent variables</topic><topic>Infrared analysis</topic><topic>Infrared spectra</topic><topic>Major elements</topic><topic>Methods</topic><topic>Mid-ocean ridges</topic><topic>Mineral exploration</topic><topic>Modelling</topic><topic>Offshore</topic><topic>Quality assurance</topic><topic>Quality control</topic><topic>Rare earth elements</topic><topic>Raw materials</topic><topic>Reflectance</topic><topic>Regression analysis</topic><topic>Sec 1 • Sediment Quality and Impact Assessment • Research Article</topic><topic>Sediment</topic><topic>Sediment deposits</topic><topic>Sediment samplers</topic><topic>Sediment samples</topic><topic>Sediments</topic><topic>Short wave radiation</topic><topic>Soil Science & Conservation</topic><topic>Spectra</topic><topic>Spectral analysis</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Milinovic, Jelena</creatorcontrib><creatorcontrib>Barriga, Fernando J.A.S.</creatorcontrib><creatorcontrib>Murton, Bramley J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Agriculture Science Database</collection><collection>Science Database</collection><collection>Environmental Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Journal of soils and sediments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Milinovic, Jelena</au><au>Barriga, Fernando J.A.S.</au><au>Murton, Bramley J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of deep-ocean sediments from the TAG hydrothermal field (MAR, 26° N): application of short-wave infrared reflectance (SWIR) spectra for offshore geochemical exploration</atitle><jtitle>Journal of soils and sediments</jtitle><stitle>J Soils Sediments</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>20</volume><issue>9</issue><spage>3472</spage><epage>3486</epage><pages>3472-3486</pages><issn>1439-0108</issn><eissn>1614-7480</eissn><abstract>Purpose
The cost-efficient methods of analysis, such as rapid short-wave infrared (SWIR) spectral analysis, have been applied for the efficient exploration of critical raw materials (CRM), including mineral components and rare earth elements (REE) from the deep-ocean sediments.
Methods
Gravity cored sediment samples were collected during an oceanographic mission to the Trans-Atlantic Geotraverse (TAG) hydrothermal field of the Mid-Atlantic Ridge (MAR, 26° N). SWIR reflectance spectra (dependent variable) of samples were mathematically tested against referent geochemical data (independent variable), obtained by conventional analysis (ICP/OES, ICP/MS), after applied full cross-validation multivariate partial least square regression (CVPLSR). Value of parameter-residual predictive deviation (RPD) was used for evaluation of CVPLSR modeling: RPD > 2.5 (satisfactory calibration model for the screening purposes) and RPD > 5.0 (model adequate for the quality control of the studied elements).
Results
The CVPLSR modeling provided significant results for the determination of several mineral components: major elements (Fe and Si) had the values of RPD equal to 3.65 and 2.84, respectively, which indicated a viable potential for their routine analysis, whereas RPD for Ca was equal to 5.51, thus assuring its quality control by SWIR analysis, in sediment samples of the studied location. Among the REE, Ce (RPD = 2.55) and Er (RPD = 2.59) yielded the most satisfactory results.
Conclusions
The findings highlight the benefit of rapidly obtained empirical SWIR-reflectance data, which can be used for near-real-time exploration of geochemical deposits hosted in deep-ocean sediments.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11368-020-02691-3</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-7092-7851</orcidid></addata></record> |
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subjects | Components Cost analysis Dependent variables Earth and Environmental Science Empirical analysis Environment Environmental Physics Exploration Geochemistry Gravity Hydrothermal fields Independent variables Infrared analysis Infrared spectra Major elements Methods Mid-ocean ridges Mineral exploration Modelling Offshore Quality assurance Quality control Rare earth elements Raw materials Reflectance Regression analysis Sec 1 • Sediment Quality and Impact Assessment • Research Article Sediment Sediment deposits Sediment samplers Sediment samples Sediments Short wave radiation Soil Science & Conservation Spectra Spectral analysis Spectrum analysis |
title | Analysis of deep-ocean sediments from the TAG hydrothermal field (MAR, 26° N): application of short-wave infrared reflectance (SWIR) spectra for offshore geochemical exploration |
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