A Trace Element Classification Tree for Chalcopyrite from Oktyabrsk Deposit, Norilsk–Talnakh Ore District, Russia: LA-ICPMS Study; Minerals; Vol. 10, iss. 8

Podrobná bibliografie
Parent link:Minerals
Vol. 10, iss. 8.— 2020.— [716, 15 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение геологии
Další autoři: Marfin A. E. Aleksandr Evgenjevich, Ivanov A. V. Aleksey, Abramova V. D. Vera, Anziferova T. N. Tatiana, Radomskaya T. A. Tatiana, Yakich T. Yu. Tamara Yurievna, Bestemianova K. V. Ksenia
Shrnutí:Title screen
The Oktyabrsk PGE-Cu-Ni deposit is one of the largest resources in the Norilsk–Talnakh ore district, Russia, and it is viewed as an ore giant on a global scale. It contains three types of ores: massive, disseminated and veinlet-disseminated. The two former ore types were formed by a liquation process, whereas the latter was associated with fluid-induced selective metasomatic replacement of metamorphosed wall rocks. One of the major ore minerals in all ore types is chalcopyrite. In this study, we determined concentrations of trace elements in this mineral using laser ablation inductively coupled plasma mass spectrometry. It appeared that standard geochemical tools, such as plotting the data in the form of diagrams of normalized concentrations, binary and ternary plots, do not allow one to distinguish chalcopyrite from visually and genetically different ore types. In contrast, more advanced statistical methods such as cluster analysis show different groupings of elements for each ore type. Based on the element clustering, a classification tree was suggested, which allowed for the differentiation of massive, disseminated and veinlet-disseminated ore types of the Oktyabrsk deposit by Se, Te, Cd and Pb concentrations in chalcopyrite with a success rate of 86%. The general feature is that chalcopyrite of veinlet-disseminated ore is poorer in these elements compared to chalcopyrite of the two other ore types. Chalcopyrite of massive ore is poorer in Se and Te when compared to chalcopyrite of disseminated ore.
Jazyk:angličtina
Vydáno: 2020
Témata:
On-line přístup:https://doi.org/10.3390/min10080716
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=662465

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200 1 |a A Trace Element Classification Tree for Chalcopyrite from Oktyabrsk Deposit, Norilsk–Talnakh Ore District, Russia: LA-ICPMS Study  |f A. E. Marfin, A. V. Ivanov, V. D. Abramova [et al.] 
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330 |a The Oktyabrsk PGE-Cu-Ni deposit is one of the largest resources in the Norilsk–Talnakh ore district, Russia, and it is viewed as an ore giant on a global scale. It contains three types of ores: massive, disseminated and veinlet-disseminated. The two former ore types were formed by a liquation process, whereas the latter was associated with fluid-induced selective metasomatic replacement of metamorphosed wall rocks. One of the major ore minerals in all ore types is chalcopyrite. In this study, we determined concentrations of trace elements in this mineral using laser ablation inductively coupled plasma mass spectrometry. It appeared that standard geochemical tools, such as plotting the data in the form of diagrams of normalized concentrations, binary and ternary plots, do not allow one to distinguish chalcopyrite from visually and genetically different ore types. In contrast, more advanced statistical methods such as cluster analysis show different groupings of elements for each ore type. Based on the element clustering, a classification tree was suggested, which allowed for the differentiation of massive, disseminated and veinlet-disseminated ore types of the Oktyabrsk deposit by Se, Te, Cd and Pb concentrations in chalcopyrite with a success rate of 86%. The general feature is that chalcopyrite of veinlet-disseminated ore is poorer in these elements compared to chalcopyrite of the two other ore types. Chalcopyrite of massive ore is poorer in Se and Te when compared to chalcopyrite of disseminated ore. 
461 |t Minerals 
463 |t Vol. 10, iss. 8  |v [716, 15 p.]  |d 2020 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a Talnakh 
610 1 |a Siberian flood basalts 
610 1 |a LA-ICPMS 
610 1 |a sulfide 
610 1 |a chalcopyrite 
610 1 |a cluster analysis 
610 1 |a classification tree 
610 1 |a Талнахское месторождение 
610 1 |a базальты 
610 1 |a сульфиды 
610 1 |a халькопирит 
610 1 |a кластерный анализ 
701 1 |a Marfin  |b A. E.  |g Aleksandr Evgenjevich 
701 1 |a Ivanov  |b A. V.  |g Aleksey 
701 1 |a Abramova  |b V. D.  |g Vera 
701 1 |a Anziferova  |b T. N.  |g Tatiana 
701 1 |a Radomskaya  |b T. A.  |g Tatiana 
701 1 |a Yakich  |b T. Yu.  |c geologist  |c Associate Professor of Tomsk Polytechnic University, Candidate of geological and mineralogical sciences  |f 1984-  |g Tamara Yurievna  |3 (RuTPU)RU\TPU\pers\43279  |9 21638 
701 1 |a Bestemianova  |b K. V.  |g Ksenia 
712 0 2 |a Национальный исследовательский Томский политехнический университет  |b Инженерная школа природных ресурсов  |b Отделение геологии  |3 (RuTPU)RU\TPU\col\23542 
801 2 |a RU  |b 63413507  |c 20200820  |g RCR 
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