Ore-forming mechanism and physicochemical evolution of Gutaishan Au deposit, South China: Perspective from quartz geochemistry and fluid inclusions

Antimony in quartz as a vector to mineralization: A statistical approach from five Variscan Sb occurrences (France)

“…Quartz from the giant Woxi and Xikuangshan Sb deposits exhibits extraordinary Sb contents, always superior to 10 ppm and commonly higher than J o u r n a l P r e -p r o o f have median Sb concentrations ranging from ca. 10 to 70 ppm (Feng et al, 2020). Finally, in the Youjiang metallogenic province in China, which hosts both Sb and Au deposits, Sb was only detected in quartz from the Sb deposits (Li et al, 2020).…”

“…globally, the highest Sb concentration is recorded in quartz from the Bournac (23 of the 24 analyses are superior to 50 ppm) and the La Lucette districts (75% of the analyses are superior to 75 ppm). Such a high Sb content in quartz has only been rarely reported in the literature, and when so, it is related to Sb mineralization (Rusk et al 2011;Pacák et al, 2019;Feng et al, 2020;Fu et al, 2020;Li et al, 2020).…”

“…Even if preliminary observations may not be conclusive as to the presence of Sb mineralization, reproducible concentrations of more than 10 ppm Sb in quartz are likely to signify that a vein network has very elevated potential for Sb mineralization in the immediate proximity. Much in the same way as LA-ICP-MS analyses of pyrite and arsenopyrite can help targeting potential Au deposit (e.g., Morey et al, 2008;Cook et al, 2013;Velasquez et al, 2014;Traore et al, 2016;Gourcerol et al, 2018Gourcerol et al, , 2020Zhang et al, 2020), our approach may help tracking Sb mineralization and improve prospecting during mineral exploration.…”

“…During the last couple of decades, many studies have undertaken to determine the concentration of trace elements in quartz in order to better constrain magmatic and/or hydrothermal processes (Monnier et al, 2018 andreferences therein, Müller et al, 2018;Wertich et al, 2018;Breiter et al, 2019;Hong et al, 2019;Peterková and Dolejš, 2019;Wang et al, 2019;Feng et al, 2020;Fu et al, 2020;Li et al, 2020;Sun et al, 2020;Yan et al, 2020). In most cases, quartz trace-elements chemistry has been mainly used for geothermometery (e.g., Wark and Watson, 2006;Grujic et al, 2020;Jollands et al, 2020) and as an expression of magmatic fractionation or fluid evolution (e.g., Müller et al, 2005;Rusk et al, 2008;Breiter and Müller, 2009;Breiter et al, 2017;Garate-Olave et al, 2017;Monnier et al, 2018).…”

Machine Learning Prediction of Quartz Forming‐Environments

“…However, the subsequent studies show that there is an increasing demand to more precisely classify quartz populations, and potentially use more than three element concentrations based on much larger data sets (Deng et al., 2020, 2021; Feng et al., 2020; Fu et al., 2020; Li et al., 2020; Müller et al., 2018; Pacák et al., 2019; Peterková & Dolejš, 2019; Rottier & Casanova, 2020; Tanner et al., 2013; Zhang et al., 2019). These studies also revealed that many data do not fit the existing classification ranges using the two types of discrimination plots.…”