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Assay Lab Chemistry Internship
Maggi Braasch-Turi
Summer 2014
2
Overview
 Background
 Projects
– Poor AA:FA Ratio Sample Analysis
– Effect of sitting time on ore samples
– Average Preg Rob Percent on Blast Hole Standard
– Effect of Preg Rob volume with Blast hole standard
– XRF New Gold Pin Method Calibration
 Other tasks
 Challenges
 Future Plans
 Acknowledgements
3
Background
 Home: Owatonna, MN
 College: Rapid City, SD
– South Dakota School of Mines
& Technology
– B.S. Chemistry in 2016
– Activities:
– Alpha Chi Sigma
– American Chemical Society
– Chemistry tutor
 Other Experiences
– ACS Undergraduate Award for
Analytical Chemistry
– Sanford Underground Research
Facility MAJORANA Temporary
Clean Room
4
Poor AA:FA Ratio Sample Analysis
 Purpose: To analyze the effect shaking time has on ore samples with
poor AA:FA ratios
 Hypothesis: AA:FA ratios will increase with longer shaking time
 Procedure:
1. Put 10.00g of each sample into the 50mL centrifuge tubes
2. Put one pump of CN- in each tube
3. Shake for the allotted time
4. Centrifuge for 10 minutes
5. Decant immediately into the Varian test tubes
6. Analyze with the AA
5
Poor AA:FA Ratio Samples
 Conclusion: As predicted, the AA:FA ratios increased significantly with longer
shaking time.
0.64
0.56
0.66
0.58
0.42
0.74
0.89
0.94 0.95 0.98
0.89
0.99
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
1.5
1.6
8:35 9:00 9:50 11:20 12:50 14:35
Au(oz/ton)
CH-051314-02 Samples
Shaking Time vs. Concentration
Original 1 Hour 1 Hour ReRun 2 Hours 3 Hours Original Ratio 3 Hour Ratio
6
Average AA:FA Ratio Samples
 Purpose: To analyze the effect shaking time had
on a mixture of ore samples with good and bad
AA:FA ratios
 Hypothesis: AA:FA ratios will increase with
longer shaking time
 Samples with average original AA:FA ratios served
as a control
 Same Procedure
7
Average AA:FA Ratio Samples
 Conclusion: AA:FA ratios only increased with longer shaking time in the case of
samples with poor ratios. Samples with average ratios did not increase significantly.
 This test confirms that shaking time alone was not the only issue with the poor samples.
0.90 0.93
1.00 0.98
0.92
0.68
0.76
0.89
0.50
0.85
0.59
0.91 0.95
0.90 0.94 0.96 0.95 0.91
0.81 0.80
0.94
0.57
0.86
0.81
0.97 0.94
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
Au(oz/ton)
Samples
Concentration vs Shake Time
Experiment #2
Original 1 Hour 2 Hours 3 Hours Original Ratio 3 Hour Ratio
Values BELOW the dots are the Original Ratio
Values ABOVE the dots are the 3 Hour Ratio
8
Side by Side Comparison
0.64
0.56
0.66
0.58
0.42
0.74
0.90 0.93
1.00 0.98
0.92
0.68
0.76
0.89
0.50
0.85
0.59
0.91
0.95
0.89
0.94 0.95 0.98
0.89
0.99
0.90
0.94 0.96 0.95
0.91
0.81 0.80
0.94
0.57
0.86
0.81
0.97 0.94
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
1.5
1.6
Auoz/ton)
Samples
Shaking Time vs Concentration of Au
Complete List
ORIGINAL 1 HOUR 1 HOUR RERUN 2 HOURS 3 HOURS ORIGINAL RATIO 3 HOUR RATIO
Values BELOW the dots are the Original Ratio
Values ABOVE the dots are the 3 Hour Ratio
9
Particle Size of Gold
 Scanning Electron Microscope at Goldstrike
 They told us that particle size was not an
issue because they only found one piece
larger than 2.5 microns
10
Effect of sitting time on ore samples
 Purpose: To analyze the effect of sit time has on the
AA:FA ratio on samples with poor AA:FA ratios
 Hypothesis: The sit time will increase the AA:FA ratio
because the CN- is in contact with the gold, affecting the
results and purpose of the test
 Procedure:
1. Put 10g of each sample into the 50mL centrifuge tubes
2. Put one pump of CN- in each tube and shake for one hour
3. Sit out for the determined time (overnight, over the weekend)
4. Centrifuge for 10 minutes
5. Decant immediately into the Varian test tubes
6. Analyze with the AA
11
Sit Time
 Conclusion: The ratios did increase, as expected, because the gold was in
contact with CN-. This confirms that the longer the gold is in contact with CN- ,
the ratio will increase enough to skew the results for poor samples.
0.64
0.56
0.66
0.58
0.42
0.74
0.90
0.97 0.98
1.03
0.98
1.04
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
8:35 9:00 9:50 11:20 12:50 14:35
Au(oz/ton)
Sample
Concentration vs Sitting Time
Original Immediately Overnight Weekend Original Ratio Weekend Ratio
12
Preg Rob Analysis with BH Standard
 Purpose:
– To get a average Preg Rob percent using the blast hole standard
– To see how inaccurate dispensing of Preg Rob solution (or any solution)
can affect results
 Hypothesis: Concerning dispensing the solutions:
– Adding too much will cause there to be too much gold in solution, thus
causing some to be absorbed by the carbon in the standard via equilibrium
 Procedure:
1. Put 10g of BH standard into the 50mL centrifuge tubes
2. Put one pump (at specific volumes) of Preg Rob in each tube and shake for one hour
3. Centrifuge for 10 minutes
4. Decant immediately into the Varian test tubes
5. Analyze with the AA
Au(s) + 2CN-
(aq, excess)⇌ [Au(CN)2]-
(aq)
13
Preg Rob Results
 Conclusion: Most of the standards are within the first standard
deviation, except for a few spots, which were on purpose.
0.1990
0.1700
0.1800
0.1900
0.2000
0.2100
0.2200
0.2300
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101105109113117121125129133137141145149153157
Au(oz/ton)
Sample #
Standard Preg RobPR AA oz/ton Average std 1 up down std 2 up down std 3 up down
14
Preg Rob Percentages
 All negative PR% are reported as zeros
 The average was 2.44%, excluding the last 40 sample points.
2.44
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101105109113117121125129133137141145149153157
Percentage
Sample
PR %
Preg Rob % Average PR% value
15
Patches of zeros
 Most all of the reported zeros were negative PR values.
 I looked into see why.
 Amount of solution had something to do with it, so I did
both.
– 20 samples each
– 121-140 with 21g of CN- solution
– 141-160 with 18g of CN- solution
16
Volume and Preg Rob %
• Conclusion:
• Adding too little brings the concentrations far outside the mean because nothing is being absorbed. All of the gold is
being analyzed and not absorbed.
• Adding too much lets more gold be absorbed.
2.44
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1
8
15
22
29
36
43
50
57
64
71
78
85
92
99
106
113
120
127
134
141
148
155
Percentage
Sample
PR %
Preg Rob % Average PR% value
21g
18g
0.1990
0.1700
0.1800
0.1900
0.2000
0.2100
0.2200
0.2300
1
8
15
22
29
36
43
50
57
64
71
78
85
92
99
106
113
120
127
134
141
148
155
Au(oz/ton)
Sample #
Standard Preg Rob
PR AA oz/ton Average std 1 up
Type equation here.
17
XRF Calibration
 Purpose: To get the new gold standard discs to calibrate
and measure properly
 Issues:
– Au curve didn’t go through zero
– Causing the concentrations to be read incorrectly
y = 0.5349x + 44.138
R² = 0.9574
0.0000
20.0000
40.0000
60.0000
80.0000
100.0000
0 20 40 60 80 100
CalculatedAu%
Standard Au%
Before Gold Blank CCalc Au %
y = 0.9972x + 0.2221
R² = 0.9972
-10.0000
10.0000
30.0000
50.0000
70.0000
90.0000
0 20 40 60 80 100
CalculatedAu%
Standard Au %
After Gold Blank CCalc Au %
18
What I tried
 Sample details
– Taking into account mass and diameter,
accurate and average
– Changing measuring time
– Green denotes data within ±1% of FA
values.
– 2 samples were within the range for
Au and most were in range for Ag
– Not good
19
After calling PANalytical
 Gold blank as a standard
 Modifying the application to include:
– Correction Factors
–FP
– Error Weight Type
–Absolute
–Square Root
20
Gold Blank
 Robert made a silver proof for
me- about 29.936g and 32mm
 Adding it brought the line
through zero
– Put a point near zero pulling the
line down with real data
 Green denotes data within ±1%
of FA values.
– More green, but not as good as
it needs to be
21
Correction Factor
Used FP (Fundamental Parameters)
– Math that takes into account what we told it to be
verses what is measures
– Adjusts the data points to fall into the curve better
– Good for long ranges of points
 Reds are out of range
 Greens and browns are
within the ±1%.
Standards run as samples
before correction
Standard XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.999 97.1220 1.7410 2.8770 -1.7410
98/2 96.9750 2.7910 1.0250 -0.7910
96/4 95.4970 4.2420 0.5030 -0.2420
92/8 93.8590 7.0240 -1.8590 0.9760
88/12 90.7310 10.0320 -2.7310 1.9680
0/99.999 -0.2310 99.9840 0.2310 0.0150
after FP correction (Au, Ag)
(Absolute, Absolute) Error Weight Type DEFAULT SETTING
Standard XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.999 98.8470 -0.6140 1.1520 0.6140
98/2 97.9090 1.2440 0.0910 0.7560
96/4 96.4130 3.7860 -0.4130 0.2140
92/8 93.6010 8.4980 -1.6010 -0.4980
88/12 87.7780 13.3280 0.2220 -1.3280
0/99.999 -0.0730 99.5210 0.0730 0.4780
22
Error Weight Type
 Absolute
– Good for wide range data
– Looks at the entire spectrum
 Square Root
– Takes the square root of
the error value
– Makes the error smaller
– Works best for points that
are very close together
after FP correction (Au, Ag)
(Absolute, Absolute) Error Weight Type
CCalc Au % Ccalc Ag% % DIFF Au % Diff Ag XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.0068 -0.0153 0.9922 0.6231 98.8470 -0.6140 1.1520 0.6140
97.9981 1.7838 0.0019 0.7664 97.9090 1.2440 0.0910 0.7560
95.9807 4.2354 0.0193 0.2364 96.4130 3.7860 -0.4130 0.2140
92.9336 8.7994 -0.9336 -0.4737 93.6010 8.4980 -1.6010 -0.4980
88.1532 13.5340 -0.1532 -1.3599 87.7780 13.3280 0.2220 -1.3280
-0.0734 97.2761 0.0734 0.2078 -0.0730 99.5210 0.0730 0.4780
(Absolute, Square Root) Error Weight Type
CCalc Au % Ccalc Ag% % DIFF Au % Diff Ag XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag
99.0068 -0.6231 0.9922 0.0153 98.5360 -0.0080 1.4630 0.0080
97.9981 1.2336 0.0019 0.2162 97.7010 1.7880 0.2990 0.2120
95.9807 3.7636 0.0193 -0.2354 96.2420 4.2480 -0.2420 -0.2480
92.9336 8.4737 -0.9336 -0.7994 93.4930 8.8100 -1.4930 -0.8100
88.1532 13.3599 -0.1532 -1.5340 87.7250 13.4930 0.2750 -1.4930
-0.0734 99.7912 0.0734 2.7229 -0.0730 97.0110 0.0730 2.9880
• Does more math to correct points based upon each scenario
• Both are pretty close. So
I asked for PANalytical’s
recommendation.
• They recommended
Absolute for Au and
Square Root for Ag
23
XRF Samples
 Used pin samples from last months
inventory
 Filled in the blanks of data
 Green-needed Gold Pin Method (old
method)
 Blue- needed Fire Assay
 White- had all data
 Navy- pins did not roll out well
enough for XRF analysis
Average Diameter
(mm)Samples Mass (g)
P19496-04 9.638 28.125
P19505-13 10.804 31.5
P19514-23 9.928 30
P19524-26 8.539 30.625
P19527-36 12.398 35.625
P19537-46 7.973 29.25
P19547-49 10.652 33.75
P19550-59 12.041 33.125
P19560-68 8.045 35.75
P19569-72 12.748 41.25
P19573-75
P19576-83
P19584-90
P19591-98 7.875 26.25
P19599-606 11.321 30
P19607-12
P19613-21 11.558 32.25
P19622-27 13.025 34
P19628-35 10.495 34
P19636-42 11.803 30.25
P19643-50 12.05 30.25
24
XRF Samples
– Accurate mass and average
diameter
– Mass and diameter set to 1g/1mm
– 500g/60mm
– No mass or diameter input
 I made observations on
each pin sample as well
 The following will negatively
affect XRF analysis:
– Sample too small
– Cracks
– Not flat
– Face is not uniform
Observations of the sample
Samples
P19496-04 almost not wide enough
P19505-13
P19514-23 large crack
P19524-26 not quite wide enough for window without cracks, 2
P19527-36 not quite flat,
P19537-46 cracks and etchings on one side
P19547-49 not flat
P19550-59
P19560-68 long crack in window, not flat,
P19569-72 not flat, dark impurity marks- from roller?
P19573-75
P19576-83
P19584-90
P19591-98 not big enough for the window without cracks in it
P19599-606 not wide enough for window
P19607-12
P19613-21 not flat
P19622-27 not big enough for the window, 2 cracks
P19628-35 large enough to cover window, but hairline cracks are in window too, 3
P19636-42 almost too short to cover window, not completely flat
P19643-50 almost too short to cover window, 2 hairline cracks that could impede analysis
The samples were analyzed with the following parameters
using the New Gold Pin Method:
25
Samples with Imperfections
Average
Diameter (mm)
FA GPM % Diff NGPM % Diff
Flags Samples Mass (g) Au% Ag% Au% Ag% Au% Ag% Au% Ag% Au% Ag%
P19496-04 9.638 28.125 88.892 1.817 88.772 2.198 0.12 -0.381 88.772 1.597 0.12 0.22
P19505-13 10.804 31.5 89.249 2.233 89.437 2.443 -0.188 -0.21 89.501 2.011 -0.252 0.222
P19514-23 9.928 30 89.199 2.224 88.659 2.421 0.54 -0.197 88.657 1.969 0.542 0.255
P19524-26 8.539 30.625 85.484 2.573 85.835 2.623 -0.351 -0.05 85.882 2.323 -0.398 0.25
P19527-36 12.398 35.625 88.712 1.48 88.465 2.022 0.247 -0.542 88.008 1.294 0.704 0.186
P19537-46 7.973 29.25 89.275 1.757 89.388 2.074 -0.113 -0.317 89.122 1.377 0.153 0.38
x P19547-49 10.652 33.75 87.853 2.153 83.411 2.314 4.442 -0.161 90.502 1.769 -2.649 0.384
P19550-59 12.041 33.125 88.511 4.053 85.181 3.682 3.33 0.371 88.911 4.097 -0.4 -0.044
x P19560-68 8.045 35.75 86.917 5.244 84.665 4.59 2.252 0.654 90.009 5.576 -3.092 -0.332
P19569-72 12.748 41.25 87.283 5.354 84.634 4.636 2.649 0.718 86.806 5.655 0.477 -0.301
P19573-75
P19576-83
P19584-90
x P19591-98 7.875 26.25 84.302 5.059 86.47 5.209 -2.168 -0.15 84.701 6.542 -0.399 -1.483
x
P19599-
606
11.321 30 84.771 5.059 87.034 4.459 -2.263 0.6 89.366 5.311 -4.595 -0.252
P19607-12
P19613-21 11.558 32.25 86.937 4.013 88.796 3.653 -1.859 0.36 87.028 4.309 -0.091 -0.296
P19622-27 13.025 34 87.993 3.392 88.678 3.306 -0.685 0.086 88.82 3.448 -0.827 -0.056
P19628-35 10.495 34 87.722 3.383 88.381 3.324 -0.659 0.059 87.809 3.452 -0.087 -0.069
P19636-42 11.803 30.25 88.63 2.039 84.452 2.28 4.178 -0.241 88.277 1.683 0.353 0.356
x P19643-50 12.05 30.25 87.825 1.866 82.668 2.17 5.157 -0.304 92.142 1.529 -4.317 0.337
x P19651-59 10.701 29.25 86.399 1.441 85.497 1.809 0.902 -0.368 90.144 0.909 -3.745 0.532
P19660-68 11.692 30.375 86.567 1.407 85.572 1.792 0.995 -0.385 86.454 0.89 0.113 0.517
Samples with imperfections did not analyze within ±1% the FA value.
26
Sample details effects conclusion
 Mass is not a huge factor unless way out of range
– 1g/1mm was pretty true to FA
– 500g/60mm was incredible out of range
 Most accurate results with sample inputs of:
– Accurate mass
– Average (approximate) diameter
27
How to fix the sample prep?
 Uniform sample diameter
– Use the molds that Jerry bought
–~33mm
– Eliminates varying diameters
 Able to have a set diameter in program
– Would only need to input mass
28
Other Things I’ve Learned
 Pulp Weigh
 XRF Carbon sample prep
 Running AA’s
 Helping in the Wet Lab
 Made solutions
– 6#/ton Cyanide
– Preg Rob
 6#/ton Cyanide Titration with silver nitrate
29
Challenges
 EXCEL
 The slowness of the XRF computer
 Troubleshooting calibration issues on existing methods
30
My Future Plans
 Graduate School for a Master’s Degree
– Organic- so far
– Possibly pharmaceuticals
– Still have Physical and Inorganic Chem
Basic benzaldehyde ^ ^Same solution with Thiamine HCl added to it.
Start of the synthesis to make Phenytoin and anti-epileptic drug.
Benzipinacol crystals from the
Photochemical reaction of
benzophenone with IPA and light
31
Thank you!
 Barrick Gold- Process Division
 Jerry Vandergriff
 Gayle Fitzwater?
 Nancy Plummer
 Eric Brown
 Dawn Gann
 All of the Crews
Beep beep motherfuckers!
32
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barrick

  • 1. Assay Lab Chemistry Internship Maggi Braasch-Turi Summer 2014
  • 2. 2 Overview  Background  Projects – Poor AA:FA Ratio Sample Analysis – Effect of sitting time on ore samples – Average Preg Rob Percent on Blast Hole Standard – Effect of Preg Rob volume with Blast hole standard – XRF New Gold Pin Method Calibration  Other tasks  Challenges  Future Plans  Acknowledgements
  • 3. 3 Background  Home: Owatonna, MN  College: Rapid City, SD – South Dakota School of Mines & Technology – B.S. Chemistry in 2016 – Activities: – Alpha Chi Sigma – American Chemical Society – Chemistry tutor  Other Experiences – ACS Undergraduate Award for Analytical Chemistry – Sanford Underground Research Facility MAJORANA Temporary Clean Room
  • 4. 4 Poor AA:FA Ratio Sample Analysis  Purpose: To analyze the effect shaking time has on ore samples with poor AA:FA ratios  Hypothesis: AA:FA ratios will increase with longer shaking time  Procedure: 1. Put 10.00g of each sample into the 50mL centrifuge tubes 2. Put one pump of CN- in each tube 3. Shake for the allotted time 4. Centrifuge for 10 minutes 5. Decant immediately into the Varian test tubes 6. Analyze with the AA
  • 5. 5 Poor AA:FA Ratio Samples  Conclusion: As predicted, the AA:FA ratios increased significantly with longer shaking time. 0.64 0.56 0.66 0.58 0.42 0.74 0.89 0.94 0.95 0.98 0.89 0.99 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 8:35 9:00 9:50 11:20 12:50 14:35 Au(oz/ton) CH-051314-02 Samples Shaking Time vs. Concentration Original 1 Hour 1 Hour ReRun 2 Hours 3 Hours Original Ratio 3 Hour Ratio
  • 6. 6 Average AA:FA Ratio Samples  Purpose: To analyze the effect shaking time had on a mixture of ore samples with good and bad AA:FA ratios  Hypothesis: AA:FA ratios will increase with longer shaking time  Samples with average original AA:FA ratios served as a control  Same Procedure
  • 7. 7 Average AA:FA Ratio Samples  Conclusion: AA:FA ratios only increased with longer shaking time in the case of samples with poor ratios. Samples with average ratios did not increase significantly.  This test confirms that shaking time alone was not the only issue with the poor samples. 0.90 0.93 1.00 0.98 0.92 0.68 0.76 0.89 0.50 0.85 0.59 0.91 0.95 0.90 0.94 0.96 0.95 0.91 0.81 0.80 0.94 0.57 0.86 0.81 0.97 0.94 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 Au(oz/ton) Samples Concentration vs Shake Time Experiment #2 Original 1 Hour 2 Hours 3 Hours Original Ratio 3 Hour Ratio Values BELOW the dots are the Original Ratio Values ABOVE the dots are the 3 Hour Ratio
  • 8. 8 Side by Side Comparison 0.64 0.56 0.66 0.58 0.42 0.74 0.90 0.93 1.00 0.98 0.92 0.68 0.76 0.89 0.50 0.85 0.59 0.91 0.95 0.89 0.94 0.95 0.98 0.89 0.99 0.90 0.94 0.96 0.95 0.91 0.81 0.80 0.94 0.57 0.86 0.81 0.97 0.94 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 Auoz/ton) Samples Shaking Time vs Concentration of Au Complete List ORIGINAL 1 HOUR 1 HOUR RERUN 2 HOURS 3 HOURS ORIGINAL RATIO 3 HOUR RATIO Values BELOW the dots are the Original Ratio Values ABOVE the dots are the 3 Hour Ratio
  • 9. 9 Particle Size of Gold  Scanning Electron Microscope at Goldstrike  They told us that particle size was not an issue because they only found one piece larger than 2.5 microns
  • 10. 10 Effect of sitting time on ore samples  Purpose: To analyze the effect of sit time has on the AA:FA ratio on samples with poor AA:FA ratios  Hypothesis: The sit time will increase the AA:FA ratio because the CN- is in contact with the gold, affecting the results and purpose of the test  Procedure: 1. Put 10g of each sample into the 50mL centrifuge tubes 2. Put one pump of CN- in each tube and shake for one hour 3. Sit out for the determined time (overnight, over the weekend) 4. Centrifuge for 10 minutes 5. Decant immediately into the Varian test tubes 6. Analyze with the AA
  • 11. 11 Sit Time  Conclusion: The ratios did increase, as expected, because the gold was in contact with CN-. This confirms that the longer the gold is in contact with CN- , the ratio will increase enough to skew the results for poor samples. 0.64 0.56 0.66 0.58 0.42 0.74 0.90 0.97 0.98 1.03 0.98 1.04 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 8:35 9:00 9:50 11:20 12:50 14:35 Au(oz/ton) Sample Concentration vs Sitting Time Original Immediately Overnight Weekend Original Ratio Weekend Ratio
  • 12. 12 Preg Rob Analysis with BH Standard  Purpose: – To get a average Preg Rob percent using the blast hole standard – To see how inaccurate dispensing of Preg Rob solution (or any solution) can affect results  Hypothesis: Concerning dispensing the solutions: – Adding too much will cause there to be too much gold in solution, thus causing some to be absorbed by the carbon in the standard via equilibrium  Procedure: 1. Put 10g of BH standard into the 50mL centrifuge tubes 2. Put one pump (at specific volumes) of Preg Rob in each tube and shake for one hour 3. Centrifuge for 10 minutes 4. Decant immediately into the Varian test tubes 5. Analyze with the AA Au(s) + 2CN- (aq, excess)⇌ [Au(CN)2]- (aq)
  • 13. 13 Preg Rob Results  Conclusion: Most of the standards are within the first standard deviation, except for a few spots, which were on purpose. 0.1990 0.1700 0.1800 0.1900 0.2000 0.2100 0.2200 0.2300 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101105109113117121125129133137141145149153157 Au(oz/ton) Sample # Standard Preg RobPR AA oz/ton Average std 1 up down std 2 up down std 3 up down
  • 14. 14 Preg Rob Percentages  All negative PR% are reported as zeros  The average was 2.44%, excluding the last 40 sample points. 2.44 0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101105109113117121125129133137141145149153157 Percentage Sample PR % Preg Rob % Average PR% value
  • 15. 15 Patches of zeros  Most all of the reported zeros were negative PR values.  I looked into see why.  Amount of solution had something to do with it, so I did both. – 20 samples each – 121-140 with 21g of CN- solution – 141-160 with 18g of CN- solution
  • 16. 16 Volume and Preg Rob % • Conclusion: • Adding too little brings the concentrations far outside the mean because nothing is being absorbed. All of the gold is being analyzed and not absorbed. • Adding too much lets more gold be absorbed. 2.44 0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 1 8 15 22 29 36 43 50 57 64 71 78 85 92 99 106 113 120 127 134 141 148 155 Percentage Sample PR % Preg Rob % Average PR% value 21g 18g 0.1990 0.1700 0.1800 0.1900 0.2000 0.2100 0.2200 0.2300 1 8 15 22 29 36 43 50 57 64 71 78 85 92 99 106 113 120 127 134 141 148 155 Au(oz/ton) Sample # Standard Preg Rob PR AA oz/ton Average std 1 up Type equation here.
  • 17. 17 XRF Calibration  Purpose: To get the new gold standard discs to calibrate and measure properly  Issues: – Au curve didn’t go through zero – Causing the concentrations to be read incorrectly y = 0.5349x + 44.138 R² = 0.9574 0.0000 20.0000 40.0000 60.0000 80.0000 100.0000 0 20 40 60 80 100 CalculatedAu% Standard Au% Before Gold Blank CCalc Au % y = 0.9972x + 0.2221 R² = 0.9972 -10.0000 10.0000 30.0000 50.0000 70.0000 90.0000 0 20 40 60 80 100 CalculatedAu% Standard Au % After Gold Blank CCalc Au %
  • 18. 18 What I tried  Sample details – Taking into account mass and diameter, accurate and average – Changing measuring time – Green denotes data within ±1% of FA values. – 2 samples were within the range for Au and most were in range for Ag – Not good
  • 19. 19 After calling PANalytical  Gold blank as a standard  Modifying the application to include: – Correction Factors –FP – Error Weight Type –Absolute –Square Root
  • 20. 20 Gold Blank  Robert made a silver proof for me- about 29.936g and 32mm  Adding it brought the line through zero – Put a point near zero pulling the line down with real data  Green denotes data within ±1% of FA values. – More green, but not as good as it needs to be
  • 21. 21 Correction Factor Used FP (Fundamental Parameters) – Math that takes into account what we told it to be verses what is measures – Adjusts the data points to fall into the curve better – Good for long ranges of points  Reds are out of range  Greens and browns are within the ±1%. Standards run as samples before correction Standard XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag 99.999 97.1220 1.7410 2.8770 -1.7410 98/2 96.9750 2.7910 1.0250 -0.7910 96/4 95.4970 4.2420 0.5030 -0.2420 92/8 93.8590 7.0240 -1.8590 0.9760 88/12 90.7310 10.0320 -2.7310 1.9680 0/99.999 -0.2310 99.9840 0.2310 0.0150 after FP correction (Au, Ag) (Absolute, Absolute) Error Weight Type DEFAULT SETTING Standard XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag 99.999 98.8470 -0.6140 1.1520 0.6140 98/2 97.9090 1.2440 0.0910 0.7560 96/4 96.4130 3.7860 -0.4130 0.2140 92/8 93.6010 8.4980 -1.6010 -0.4980 88/12 87.7780 13.3280 0.2220 -1.3280 0/99.999 -0.0730 99.5210 0.0730 0.4780
  • 22. 22 Error Weight Type  Absolute – Good for wide range data – Looks at the entire spectrum  Square Root – Takes the square root of the error value – Makes the error smaller – Works best for points that are very close together after FP correction (Au, Ag) (Absolute, Absolute) Error Weight Type CCalc Au % Ccalc Ag% % DIFF Au % Diff Ag XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag 99.0068 -0.0153 0.9922 0.6231 98.8470 -0.6140 1.1520 0.6140 97.9981 1.7838 0.0019 0.7664 97.9090 1.2440 0.0910 0.7560 95.9807 4.2354 0.0193 0.2364 96.4130 3.7860 -0.4130 0.2140 92.9336 8.7994 -0.9336 -0.4737 93.6010 8.4980 -1.6010 -0.4980 88.1532 13.5340 -0.1532 -1.3599 87.7780 13.3280 0.2220 -1.3280 -0.0734 97.2761 0.0734 0.2078 -0.0730 99.5210 0.0730 0.4780 (Absolute, Square Root) Error Weight Type CCalc Au % Ccalc Ag% % DIFF Au % Diff Ag XRF READ Au % XRF READ Ag% % DIFF Au % Diff Ag 99.0068 -0.6231 0.9922 0.0153 98.5360 -0.0080 1.4630 0.0080 97.9981 1.2336 0.0019 0.2162 97.7010 1.7880 0.2990 0.2120 95.9807 3.7636 0.0193 -0.2354 96.2420 4.2480 -0.2420 -0.2480 92.9336 8.4737 -0.9336 -0.7994 93.4930 8.8100 -1.4930 -0.8100 88.1532 13.3599 -0.1532 -1.5340 87.7250 13.4930 0.2750 -1.4930 -0.0734 99.7912 0.0734 2.7229 -0.0730 97.0110 0.0730 2.9880 • Does more math to correct points based upon each scenario • Both are pretty close. So I asked for PANalytical’s recommendation. • They recommended Absolute for Au and Square Root for Ag
  • 23. 23 XRF Samples  Used pin samples from last months inventory  Filled in the blanks of data  Green-needed Gold Pin Method (old method)  Blue- needed Fire Assay  White- had all data  Navy- pins did not roll out well enough for XRF analysis Average Diameter (mm)Samples Mass (g) P19496-04 9.638 28.125 P19505-13 10.804 31.5 P19514-23 9.928 30 P19524-26 8.539 30.625 P19527-36 12.398 35.625 P19537-46 7.973 29.25 P19547-49 10.652 33.75 P19550-59 12.041 33.125 P19560-68 8.045 35.75 P19569-72 12.748 41.25 P19573-75 P19576-83 P19584-90 P19591-98 7.875 26.25 P19599-606 11.321 30 P19607-12 P19613-21 11.558 32.25 P19622-27 13.025 34 P19628-35 10.495 34 P19636-42 11.803 30.25 P19643-50 12.05 30.25
  • 24. 24 XRF Samples – Accurate mass and average diameter – Mass and diameter set to 1g/1mm – 500g/60mm – No mass or diameter input  I made observations on each pin sample as well  The following will negatively affect XRF analysis: – Sample too small – Cracks – Not flat – Face is not uniform Observations of the sample Samples P19496-04 almost not wide enough P19505-13 P19514-23 large crack P19524-26 not quite wide enough for window without cracks, 2 P19527-36 not quite flat, P19537-46 cracks and etchings on one side P19547-49 not flat P19550-59 P19560-68 long crack in window, not flat, P19569-72 not flat, dark impurity marks- from roller? P19573-75 P19576-83 P19584-90 P19591-98 not big enough for the window without cracks in it P19599-606 not wide enough for window P19607-12 P19613-21 not flat P19622-27 not big enough for the window, 2 cracks P19628-35 large enough to cover window, but hairline cracks are in window too, 3 P19636-42 almost too short to cover window, not completely flat P19643-50 almost too short to cover window, 2 hairline cracks that could impede analysis The samples were analyzed with the following parameters using the New Gold Pin Method:
  • 25. 25 Samples with Imperfections Average Diameter (mm) FA GPM % Diff NGPM % Diff Flags Samples Mass (g) Au% Ag% Au% Ag% Au% Ag% Au% Ag% Au% Ag% P19496-04 9.638 28.125 88.892 1.817 88.772 2.198 0.12 -0.381 88.772 1.597 0.12 0.22 P19505-13 10.804 31.5 89.249 2.233 89.437 2.443 -0.188 -0.21 89.501 2.011 -0.252 0.222 P19514-23 9.928 30 89.199 2.224 88.659 2.421 0.54 -0.197 88.657 1.969 0.542 0.255 P19524-26 8.539 30.625 85.484 2.573 85.835 2.623 -0.351 -0.05 85.882 2.323 -0.398 0.25 P19527-36 12.398 35.625 88.712 1.48 88.465 2.022 0.247 -0.542 88.008 1.294 0.704 0.186 P19537-46 7.973 29.25 89.275 1.757 89.388 2.074 -0.113 -0.317 89.122 1.377 0.153 0.38 x P19547-49 10.652 33.75 87.853 2.153 83.411 2.314 4.442 -0.161 90.502 1.769 -2.649 0.384 P19550-59 12.041 33.125 88.511 4.053 85.181 3.682 3.33 0.371 88.911 4.097 -0.4 -0.044 x P19560-68 8.045 35.75 86.917 5.244 84.665 4.59 2.252 0.654 90.009 5.576 -3.092 -0.332 P19569-72 12.748 41.25 87.283 5.354 84.634 4.636 2.649 0.718 86.806 5.655 0.477 -0.301 P19573-75 P19576-83 P19584-90 x P19591-98 7.875 26.25 84.302 5.059 86.47 5.209 -2.168 -0.15 84.701 6.542 -0.399 -1.483 x P19599- 606 11.321 30 84.771 5.059 87.034 4.459 -2.263 0.6 89.366 5.311 -4.595 -0.252 P19607-12 P19613-21 11.558 32.25 86.937 4.013 88.796 3.653 -1.859 0.36 87.028 4.309 -0.091 -0.296 P19622-27 13.025 34 87.993 3.392 88.678 3.306 -0.685 0.086 88.82 3.448 -0.827 -0.056 P19628-35 10.495 34 87.722 3.383 88.381 3.324 -0.659 0.059 87.809 3.452 -0.087 -0.069 P19636-42 11.803 30.25 88.63 2.039 84.452 2.28 4.178 -0.241 88.277 1.683 0.353 0.356 x P19643-50 12.05 30.25 87.825 1.866 82.668 2.17 5.157 -0.304 92.142 1.529 -4.317 0.337 x P19651-59 10.701 29.25 86.399 1.441 85.497 1.809 0.902 -0.368 90.144 0.909 -3.745 0.532 P19660-68 11.692 30.375 86.567 1.407 85.572 1.792 0.995 -0.385 86.454 0.89 0.113 0.517 Samples with imperfections did not analyze within ±1% the FA value.
  • 26. 26 Sample details effects conclusion  Mass is not a huge factor unless way out of range – 1g/1mm was pretty true to FA – 500g/60mm was incredible out of range  Most accurate results with sample inputs of: – Accurate mass – Average (approximate) diameter
  • 27. 27 How to fix the sample prep?  Uniform sample diameter – Use the molds that Jerry bought –~33mm – Eliminates varying diameters  Able to have a set diameter in program – Would only need to input mass
  • 28. 28 Other Things I’ve Learned  Pulp Weigh  XRF Carbon sample prep  Running AA’s  Helping in the Wet Lab  Made solutions – 6#/ton Cyanide – Preg Rob  6#/ton Cyanide Titration with silver nitrate
  • 29. 29 Challenges  EXCEL  The slowness of the XRF computer  Troubleshooting calibration issues on existing methods
  • 30. 30 My Future Plans  Graduate School for a Master’s Degree – Organic- so far – Possibly pharmaceuticals – Still have Physical and Inorganic Chem Basic benzaldehyde ^ ^Same solution with Thiamine HCl added to it. Start of the synthesis to make Phenytoin and anti-epileptic drug. Benzipinacol crystals from the Photochemical reaction of benzophenone with IPA and light
  • 31. 31 Thank you!  Barrick Gold- Process Division  Jerry Vandergriff  Gayle Fitzwater?  Nancy Plummer  Eric Brown  Dawn Gann  All of the Crews Beep beep motherfuckers!

Editor's Notes

  1. After analyzing the poor ratio samples, I was given a set of samples that gave a range of good and poor ratios. The average samples served as a control to show whethe ror not the shaking time affects every sample. Same hypothesis
  2. The poor ore samples did increase in AA:FA ratio with increased shaking time, but when normal samples were run, theirs did not increase as much as the poor ones did. The next idea was gold particle size.
  3. There have been issues around in the lab where the samples were not decanted as soon as they should have been
  4. There have been concerns about Preg robbing from people. They said that they have been reporting a higher than 10% preg rob. This could be for many reasons The ore contains a lot of carbon The Pregrob standard is off etc
  5. Panalytical recommended Abs, Abs or Abs SquRt They said Abs and SquRt because the gold could be anywhere and the silver will more than likely be clustered together at the lower end of the spetrum, so the calibration should reflect that accordingly
  6. UPDATE WITH ALL NEW PINS ANALYZED
  7. UPDATE