2021
DOI: 10.1016/j.coal.2021.103851
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Particle size and mineralogy distributions in respirable dust samples from 25 US underground coal mines

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Cited by 37 publications
(38 citation statements)
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“…The SEM-EDX work was performed using two computer-controlled routines, updated from Sarver et al [1] . The elemental data were used to infer particle mineralogy following published criteria [2] , also updated from Sarver et al [1] . Potentially bioaccessible and total acid-soluble metal and trace element concentrations were estimated by performing sequential digestions (first in simulated lung fluid, then in strong acid) and analyzing the digestate solutions by ICP-MS using a Thermo Electron iCAP-RQ ICP-MS (Thermo Fisher Scientific, Waltham, MA).…”
Section: Specifications Tablementioning
confidence: 99%
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“…The SEM-EDX work was performed using two computer-controlled routines, updated from Sarver et al [1] . The elemental data were used to infer particle mineralogy following published criteria [2] , also updated from Sarver et al [1] . Potentially bioaccessible and total acid-soluble metal and trace element concentrations were estimated by performing sequential digestions (first in simulated lung fluid, then in strong acid) and analyzing the digestate solutions by ICP-MS using a Thermo Electron iCAP-RQ ICP-MS (Thermo Fisher Scientific, Waltham, MA).…”
Section: Specifications Tablementioning
confidence: 99%
“… Potentially bioaccessible and total acid-soluble metal and trace element concentrations were estimated by performing sequential digestions (first in simulated lung fluid, then in strong acid) and analyzing the digestate solutions by ICP-MS using a Thermo Electron iCAP-RQ ICP-MS (Thermo Fisher Scientific, Waltham, MA). Data format Raw and analyzed Description of data collection Respirable coal mine dust samples were collected onto polycarbonate (PC) filters as described in Sarver et al [2] . SEM-EDX work was performed directly on the filters (after sputter-coating with Au/Pd) using two computer-controlled routines, updated from Sarver et al [1] .…”
Section: Specifications Tablementioning
confidence: 99%
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