{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T04:48:40Z","timestamp":1773031720123,"version":"3.50.1"},"reference-count":101,"publisher":"Geological Society of London","issue":"1","license":[{"start":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T00:00:00Z","timestamp":1560470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-002"}],"content-domain":{"domain":["www.lyellcollection.org"],"crossmark-restriction":true},"short-container-title":["GEEA"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:p>Based on a global compilation of whole-rock geochemical data, Sr\/Y and Sr\/MnO are identified as effective discriminators between ore-forming and unprospective intrusions in the porphyry Cu setting. Intrusive rocks are classified into three fertility groups \u2013 prospective, unprospective and mixed-signal \u2013 designed to assist explorers as a discrimination tool, narrowing the exploration search space in porphyry Cu districts.<\/jats:p>\n          <jats:p>Portable X-ray fluorescence (pXRF) data of Sr, Y and MnO were collected on pulp powders and rock slabs from six porphyry Cu (\u00b1Mo\u2009\u00b1\u2009Au) districts. Pre- and post-mineralization intrusions from porphyry Cu districts have lower Sr\/Y and Sr\/MnO values than syn-mineralization intrusions from the same districts, although absolute values are variable between districts.<\/jats:p>\n          <jats:p>\n            pXRF data were compared to conventional whole-rock data to determine if pXRF data were appropriate substitutes for conventional whole-rock methods of evaluating the ore-forming potential of intrusive rocks. pXRF data collected on pulp material were found to be more accurate (within 16% of conventional methods) and more precise (&lt;5% relative standard deviation (RSD)) than those collected on intact rock slabs (within 37% of conventional methods and &lt;24% RSD). These differences are attributed to the grain size and mineral homogeneity of samples. Despite the low precision of pXRF analyses on individual rock slabs (mean RSD of 24% Sr\/Y and 32% Sr\/MnO), the mean values for each sample plot in the expected fertility field on the Sr\/Y and Sr\/MnO diagram. Our results demonstrate that\n            <jats:italic>in situ<\/jats:italic>\n            pXRF data collection provides an effective discriminator of Cu fertility, and represents a powerful field exploration tool.\n          <\/jats:p>\n          <jats:p content-type=\"supplementary-material\">\n            <jats:bold>Supplementary material:<\/jats:bold>\n            Tabulated pXRF data for all samples including standards are available at\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" specific-use=\"dataset is-supplemented-by\" xlink:href=\"https:\/\/doi.org\/10.6084\/m9.figshare.c.4447769\">https:\/\/doi.org\/10.6084\/m9.figshare.c.4447769<\/jats:ext-link>\n          <\/jats:p>","DOI":"10.1144\/geochem2018-077","type":"journal-article","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T13:45:14Z","timestamp":1554212714000},"page":"81-97","update-policy":"https:\/\/doi.org\/10.1144\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Assessing copper fertility of intrusive rocks using field portable X-ray fluorescence (pXRF) data"],"prefix":"10.1144","volume":"20","author":[{"given":"Ayesha","family":"Ahmed","sequence":"first","affiliation":[{"name":"Transforming the Mining Value Chain, An ARC Industrial Transformation Research Hub, CODES, University of Tasmania, Hobart, Tasmania, Australia"}]},{"given":"Anthony J.","family":"Crawford","sequence":"additional","affiliation":[{"name":"Centre for Ore Deposit and Earth Sciences (CODES), University of Tasmania, Hobart, Tasmania, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2867-1020","authenticated-orcid":false,"given":"Christopher","family":"Leslie","sequence":"additional","affiliation":[{"name":"Centre for Ore Deposit and Earth Sciences (CODES), University of Tasmania, Hobart, Tasmania, Australia"}]},{"given":"Joshua","family":"Phillips","sequence":"additional","affiliation":[{"name":"Transforming the Mining Value Chain, An ARC Industrial Transformation Research Hub, CODES, University of Tasmania, Hobart, Tasmania, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5229-4619","authenticated-orcid":false,"given":"Tristan","family":"Wells","sequence":"additional","affiliation":[{"name":"Centre for Ore Deposit and Earth Sciences (CODES), University of Tasmania, Hobart, Tasmania, Australia"}]},{"given":"Amos","family":"Garay","sequence":"additional","affiliation":[{"name":"Transforming the Mining Value Chain, An ARC Industrial Transformation Research Hub, CODES, University of Tasmania, Hobart, Tasmania, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5680-7597","authenticated-orcid":false,"given":"Shawn B.","family":"Hood","sequence":"additional","affiliation":[{"name":"Transforming the Mining Value Chain, An ARC Industrial Transformation Research Hub, CODES, University of Tasmania, Hobart, Tasmania, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3096-5658","authenticated-orcid":false,"given":"David R.","family":"Cooke","sequence":"additional","affiliation":[{"name":"Transforming the Mining Value Chain, An ARC Industrial Transformation Research Hub, CODES, University of Tasmania, Hobart, Tasmania, Australia"}]}],"member":"1881","published-online":{"date-parts":[[2019,6,14]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0016-7037(88)90126-3"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00410-005-0653-z"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.2113\/gsecongeo.77.3.664"},{"key":"e_1_3_4_5_1","unstructured":"Ballantyne G. 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