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Authordc.contributor.authorDunkl, Istvan 
Authordc.contributor.authorvon Eynatten, Hilmar 
Authordc.contributor.authorAndo, Sergio 
Authordc.contributor.authorLuensdorf, Keno 
Authordc.contributor.authorMorton, Andrew 
Authordc.contributor.authorAlexander, Bruce 
Authordc.contributor.authorAradi, Laszlo 
Authordc.contributor.authorAugustsson, Carita 
Authordc.contributor.authorBahlburg, Heinrich 
Authordc.contributor.authorBarbarano, Marta 
Authordc.contributor.authorBenedictus, Aukje 
Authordc.contributor.authorBerndt, Jasper 
Authordc.contributor.authorBitz, Irene 
Authordc.contributor.authorBoekhout, Flora 
Authordc.contributor.authorBreitfeld, Tim 
Authordc.contributor.authorCascalho, Joao 
Authordc.contributor.authorCosta, Pedro J. M. 
Authordc.contributor.authorEkwenye, Ogechi 
Authordc.contributor.authorFeher, Kristof 
Authordc.contributor.authorFlores Aqueveque, Valentina 
Authordc.contributor.authorFuehring, Philipp 
Authordc.contributor.authorGiannini, Paulo 
Authordc.contributor.authorGoetz, Walter 
Authordc.contributor.authorGuedes, Carlos 
Authordc.contributor.authorGyurica, Gyorgy 
Authordc.contributor.authorHennig Breitfeld, Juliane 
Authordc.contributor.authorHuelscher, Julian 
Authordc.contributor.authorJafarzadeh, Mahdi 
Authordc.contributor.authorJagodzinski, Robert 
Authordc.contributor.authorJozsa, Sandor 
Authordc.contributor.authorKelemen, Peter 
Authordc.contributor.authorKeulen, Nynke 
Authordc.contributor.authorKovacic, Marijan 
Authordc.contributor.authorLiebermann, Christof 
Authordc.contributor.authorLimonta, Mara 
Authordc.contributor.authorLuzar Oberiter, Borna 
Authordc.contributor.authorMarkovic, Frane 
Authordc.contributor.authorMelcher, Frank 
Authordc.contributor.authorMiklos, Dora Georgina 
Authordc.contributor.authorMoghalu, Ogechukwu 
Authordc.contributor.authorMounteney, Ian 
Authordc.contributor.authorNascimento, Daniel 
Authordc.contributor.authorNovakovic, Tea 
Authordc.contributor.authorObbagy, Gabriella 
Authordc.contributor.authorOehlke, Mathias 
Authordc.contributor.authorOmma, Jenny 
Authordc.contributor.authorOnuk, Peter 
Authordc.contributor.authorPasschier, Sandra 
Authordc.contributor.authorPfaff, Katharina 
Authordc.contributor.authorPinto Lincoñir, Luisa 
Authordc.contributor.authorPower, Matthew 
Authordc.contributor.authorRazum, Ivan 
Authordc.contributor.authorResentini, Alberto 
Authordc.contributor.authorSagi, Tamas 
Authordc.contributor.authorSalata, Dorota 
Authordc.contributor.authorSalgueiro, Rute 
Authordc.contributor.authorSchoenig, Jan 
Authordc.contributor.authorSitnikova, Maria 
Authordc.contributor.authorSternal, Beata 
Authordc.contributor.authorSzakmany, Gyorgy 
Authordc.contributor.authorSzokaluk, Monika 
Authordc.contributor.authorThamo Bozso, Edit 
Authordc.contributor.authorToth, Agoston 
Authordc.contributor.authorTremblay, Jonathan 
Authordc.contributor.authorVerhaegen, Jasper 
Authordc.contributor.authorVillasenor, Tania 
Authordc.contributor.authorWagreich, Michael 
Authordc.contributor.authorWolf, Anna 
Authordc.contributor.authorYoshida, Kohki 
Admission datedc.date.accessioned2021-07-02T00:57:22Z
Available datedc.date.available2021-07-02T00:57:22Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationEarth-Science Reviews 211 (2020) 103210es_ES
Identifierdc.identifier.other10.1016/j.earscirev.2020.103210
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/180370
Abstractdc.description.abstractHeavy minerals are typically rare but important components of siliciclastic sediments and rocks. Their abundance, proportions, and variability carry valuable information on source rocks, climatic, environmental and transport conditions between source to sink, and diagenetic processes. They are important for practical purposes such as prospecting for mineral resources or the correlation and interpretation of geologic reservoirs. Despite the extensive use of heavy mineral analysis in sedimentary petrography and quite diverse methods for quantifying heavy mineral assemblages, there has never been a systematic comparison of results obtained by different methods and/or operators. This study provides the first interlaboratory test of heavy mineral analysis. Two synthetic heavy mineral samples were prepared with considerably contrasting compositions intended to resemble natural samples. The contributors were requested to provide (i) metadata describing methods, measurement conditions and experience of the operators and (ii) results tables with mineral species and grain counts. One hundred thirty analyses of the two samples were performed by 67 contributors, encompassing both classical microscopic analyses and data obtained by emerging automated techniques based on electron-beam chemical analysis or Raman spectroscopy. Because relatively low numbers of mineral counts (N) are typical for optical analyses while automated techniques allow for high N, the results vary considerably with respect to the Poisson uncertainty of the counting statistics. Therefore, standard methods used in evaluation of round robin tests are not feasible. In our case the 'true' compositions of the test samples are not known. Three methods have been applied to determine possible reference values: (i) the initially measured weight percentages, (ii) calculation of grain percentages using estimates of grain volumes and densities, and (iii) the best-match average calculated from the most reliable analyses following multiple, pragmatic and robust criteria. The range of these three values is taken as best approximation of the 'true' composition. The reported grain percentages were evaluated according to (i) their overall scatter relative to the most likely composition, (ii) the number of identified components that were part of the test samples, (iii) the total amount of mistakenly identified mineral grains that were actually not added to the samples, and (iv) the number of major components, which match the reference values with 95% confidence. Results indicate that the overall comparability of the analyses is reasonable. However, there are several issues with respect to methods and/or operators. Optical methods yield the poorest results with respect to the scatter of the data. This, however, is not considered inherent to the method as demonstrated by a significant number of optical analyses fulfilling the criteria for the best-match average. Training of the operators is thus considered paramount for optical analyses. Electron-beam methods yield satisfactory results, but problems in the identification of polymorphs and the discrimination of chain silicates are evident. Labs refining their electron-beam results by optical analysis practically tackle this issue. Raman methods yield the best results as indicated by the highest number of major components correctly quantified with 95% confidence and the fact that all laboratories and operators fulfil the criteria for the best-match average. However, a number of problems must be solved before the full potential of the automated high-throughput techniques in heavy mineral analysis can be achieved.es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherElsevieres_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Sourcedc.sourceEarth-Science Reviewses_ES
Keywordsdc.subjectHeavy mineral analysises_ES
Keywordsdc.subjectProvenancees_ES
Keywordsdc.subjectSEM-EDXes_ES
Keywordsdc.subjectRaman spectroscopyes_ES
Keywordsdc.subjectInterlaboratory comparisones_ES
Títulodc.titleComparability of heavy mineral data - The first interlaboratory round robin testes_ES
Document typedc.typeArtículo de revistaes_ES
dcterms.accessRightsdcterms.accessRightsAcceso a solo metadatoses_ES
Catalogueruchile.catalogadorcrbes_ES
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile