2020
DOI: 10.1007/s11356-020-07877-3
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Mineral carbonation of sedimentary mine waste for carbon sequestration and potential reutilization as cementitious material

Abstract: This study highlights the importance of mineralogical composition for potential carbon dioxide (CO2) capture and storage of mine waste materials. In particular, this study attempts to evaluate the role of mineral carbonation of sedimentary mine waste and their potential reutilization as supplementary cementitious material (SCM). Limestone and gold mine wastes were recovered

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Cited by 35 publications
(21 citation statements)
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“…Particle size analysis was performed using dry sieving followed by wet sieving, i.e., the pipette method. The pipette method is considered to be more accurate than dry sieve analysis for sediment-type samples [33]. In dry sieving, particles were sieved until fractions of <2 mm were obtained, before undergoing pipette analysis to determine smaller-sized particle fractions.…”
Section: Ph and Particle Size Distribution Analysismentioning
confidence: 99%
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“…Particle size analysis was performed using dry sieving followed by wet sieving, i.e., the pipette method. The pipette method is considered to be more accurate than dry sieve analysis for sediment-type samples [33]. In dry sieving, particles were sieved until fractions of <2 mm were obtained, before undergoing pipette analysis to determine smaller-sized particle fractions.…”
Section: Ph and Particle Size Distribution Analysismentioning
confidence: 99%
“…At the end of experiment, the carbonation product was drained, filtered, and dried for further analysis using a thermo gravimetric analyzer. The variability of the experimental parameters was based on the experience from our trial experiment [33]. The variables and constant parameters applied throughout the carbonation experiment were designed to identify the conditions appropriate for the carbonation process to occur more effectively, as measured by the carbonation efficiency.…”
Section: Mineral Carbonation Experimentsmentioning
confidence: 99%
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