| Literature DB >> 34278105 |
Atefeh Azizitorghabeh1, Harshit Mahandra1, Juliana Ramsay2, Ahmad Ghahreman1.
Abstract
Thiocyanate (Entities:
Year: 2021 PMID: 34278105 PMCID: PMC8280645 DOI: 10.1021/acsomega.1c00525
Source DB: PubMed Journal: ACS Omega ISSN: 2470-1343
Figure 1Gold recovery at four (a) initial thiocyanate (SCN–) concentrations (Fe3+ = 225 mM, pulp density = 25%), (b) initial ferric concentrations (SCN– = 225 mM, pulp density = 25%), and (c) pulp densities.
D-Optimal Matrix for Influential Parameters A–C and One Response Variable
| experiment | Au recovery (%) | |||
|---|---|---|---|---|
| 1 | 10 | 500 | 500 | 82.4 |
| 2 | 30 | 10 | 255 | 25.4 |
| 3 | 50 | 10 | 10 | 34.4 |
| 4 | 10 | 500 | 10 | 82.6 |
| 5 | 50 | 255 | 500 | 76.5 |
| 6 | 30 | 255 | 10 | 41.6 |
| 7 | 50 | 500 | 500 | 91.0 |
| 8 | 10 | 10 | 500 | 2.6 |
| 9 | 50 | 500 | 10 | 83.1 |
| 10 | 30 | 500 | 500 | 85.0 |
| 11 | 10 | 255 | 255 | 90.3 |
| 12 | 10 | 10 | 10 | 0 |
| 13 | 40 | 377.5 | 255 | 83.1 |
| 14 | 50 | 500 | 10 | 39 |
| 15 | 10 | 10 | 500 | 0 |
| 16 | 10 | 500 | 10 | 90.0 |
| 17 | 30 | 10 | 10 | 0 |
| 18 | 50 | 10 | 10 | 3.5 |
| 19 | 10 | 10 | 10 | 0 |
| 20 | 50 | 10 | 500 | 7.0 |
ANOVA Output for the Multiple Linear Regression Model for Au Recovery
| source | sum of squares | degrees of freedom | mean square | p (prob > | |
|---|---|---|---|---|---|
| model | 21999.43 | 3 | 7333.14 | 19.23 | <0.0001 |
| 3.56 | 1 | 3.56 | 9.342 × 10–3 | 0.9242 | |
| 21120.56 | 1 | 21120.56 | 55.39 | <0.0001 | |
| 384.39 | 1 | 384.39 | 1.01 | 0.3303 | |
| residual | 6100.38 | 16 | 381.27 | ||
| lack of fit | 4617.10 | 11 | 419.74 | 1.41 | 0.3695 |
| pure error | 1483.28 | 5 | 296.66 | <0.0001 | |
| corr total | 28099.82 | 19 |
ANOVA Results for the Fitted Multiple Linear Regression Model
| standard deviation | 19.53 | 0.78 | |
| mean | 45.89 | adjusted | 0.74 |
| CV % | 42.55 | predicted | 0.67 |
| PRESS | 9329.80 | signal-to-noise ratio | 9.54 |
Figure 2Perturbation diagram at the middle point of parameters A (30% pulp density), B (255 mM initial SCN–) and C (255 mM initial Fe3+).
Figure 3Combined effect on the gold recovery of (a) initial SCN– concentration and pulp density at 255 mM Fe3+, (b) initial Fe3+ and SCN– concentrations at 30% pulp density, and (c) initial Fe3+ concentration and pulp density at 400 mM SCN–.
Optimal Conditions for Thiocyanate Gold Leaching at the Highest Pulp Density and Lowest Reagents Concentration
| Au recovery
(%) | |||||
|---|---|---|---|---|---|
| experiment | pulp density (% w/v) | initial SCN– (mM) | initial Fe3+ (mM) | measured | predicted |
| 1 | 50 | 500 | 150 | 90 | 90 |
| 2 | 40 | 500 | 100 | 91 | 89 |
| 3 | 50 | 500 | 300 | 94 | 93 |
| 4 | 50 | 500 | 100 | 96 | 89 |
Figure 4Gold recovery and ORP changes at optimal leaching conditions: 500 mM initial SCN– concentration, 100 mM initial Fe3+ concentration, and 40% pulp density at 300 rpm.
Figure 5Iron concentrations at optimal leaching conditions: 500 mM initial SCN– concentration, 100 mM initial Fe3+ concentration, and 40% pulp density at 300 rpm.
Figure 6Kinetics of thiocyanate gold leaching fitted to three standards equations for the SCM at optimal conditions: 500 mM initial SCN– concentration, 100 mM initial Fe3+ concentration, and 40% pulp density at 300 rpm.
Figure 8Dissolved concentration of metals ion at optimal leaching conditions: 500 mM initial SCN– concentration, 100 mM initial Fe3+ concentration, and 40% pulp density at 300 rpm.
Figure 7Thiocyanate consumption at optimal leaching conditions: 500 mM initial SCN– concentration, 100 mM initial Fe3+ concentration, and 40% pulp density at 300 rpm.
Figure 9Infrared spectra for thiocyanate and the optimal leaching solution (500 mM initial SCN– concentration, 100 mM initial Fe3+ concentration, and 40% pulp density at 300 rpm) before and after 24 h leaching.
Thiocyanate Gold Leaching Studies
| no. | gold sample | gold assay | reagent | SCN conc. (mM) | pH | oxidant | pulp density (%) | stir speed (rpm) | leach time (h) | gold dissolution (%) | aim | ref |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | gold disc | >99.99% | KSCN | 50–500 | 1.5 | 0.1–1.0 ppm Fe2(SO4)3 | 180–1500 | 1.5 | kinetics of SCN as a gold leaching reagent | ( | ||
| 2 | gold disc | >99.9% | NaSCN | 50–200 | 2 | 0.1–1.0 ppm Fe2(SO4)3 | 800 | 2–3 | rate of SCN decomposition | ( | ||
| 3 | auriferous pyrite ore | 7.8 g/t | NaSCN | 100 | 2 | 40–80 mM Fe2(SO4)3 | 25 | 400 | 24 | 49.5 | SCN as a CN alternative | ( |
| 4 | gold ore with 1.15 wt % sulfur | 18 g/t | 130 mM thiourea + NH4SCN | 780 | 1.5 | 28 mM Fe2(SO4)3 | 10 | 250 | 6 | 95 | reduce thiourea consumption | ( |
| 5 | gold concentrate (mainly iron sulfide) | 38.5 g/t | NH4SCN + 5 g/L glycine | 900 | 2 | 50 mM Fe2(SO4)3 | 25 | 600 | 3 | 93.2 | reduce reagent consumption | ( |
| 6 | oxide ore (Goldcorp Coffee Project) | 2 g/t | NaSCN | 150 | 1.5–2 | 100 mM Fe2(SO4)3 | 40 | 700 | 24 | 92 | SCN as a CN alternative | ( |
| 7 | activated carbon ash | 130 mM thiourea + 780 mM NaSCN | 780 | 14.7–147 mM H2O2 | 10 | 300 | 1.7 | 89 | faster kinetics and improved efficiency for dissolution of gold and silver | ( | ||
| 8 | oxide gold ore | 4.6 g/t | NaSCN | 500 | 1.5–2 | 100 mM Fe2(SO4)3 | 50 | 300 | 24 | 96 | RSM to optimize the leaching parameter; develop a kinetics model; evaluate other dissolved metals in the leaching solution | this study |
Metallic Composition of the Oxide Ore Sample Used in This Study
| metal | Au | As | Ag | Cu | Fe | Pb | Zn | Mg | Mn |
| unit | ppm | ppm | ppm | ppm | % | ppm | ppm | % | ppm |
| concentration | 4.6 | 22 | <1 | 67 | 6.46 | 14 | 62 | 12.1 | 1.150 |