Lab Procedures & Notes

Author

Xenia De Gracia Medina

Published

Monday, July 28, 2025 19:16:54

LAB PROCEDURES & NOTES

Chorover’s Lab

Department of Environmental Sciences
University of Arizona

NOTES:

Here I included some of my lab notes when working at Chorover’s lab.
This is an ongoing work and a gift for Rob, to give him some rest from repeating the same information every time someone joins the lab xD
Warning: English is not my native language. My apologies for any typo found on these notes!

1 ADMINISTRATIVE PROCEDURES

Remember to check the fulfillment of the required safety training in the Research Laboratory and Safety Services.

Link to RLSS

Chemical Inventory Link

The hazardous waste pick-up happens the SECOND Thursday of every month. You have to schedule it with enough time so they can pick it up and bring you extra tanks and tags for the chemicals.

Form for Chemical & Biohazard Waste Pickup Request

Use this link to order the Liquid Nitrogen, or any gas you may need for your lab work.

Hours of Operation: M-F 8:00AM to 4:00PM
Pickup 8:30AM to 11AM
Cryo Closed 11:30AM to 12:30PM daily

The Liquid Nitrogen we order is: Liquid Nitrogen, Refrigerated (Class 2.2 UN1977 Non-Flammable). Please specify the quantity in liters. MAX 60 liters/order.

We order 10 Liters (30 pounds) for the big bin.

Safety measurements to consider:

Use the required cryogenic gloves and a face shield to handle Liquid Nitrogen.
Make sure empty cylinders are labeled or tagged.
Make sure caps are in place when not in use
Cylinders are secured, not blocking exits or pathways and stored upright in racks, straps, chains, or stands.

Extracted from the University Chemical Hygiene Plan

Uacces
Financial
NetID
More Items
Orders
Shop catalogs
In the search tool, write what you’re looking for (Catalog number, Product number or SKU number)
Add to cart
View my cart
You can only do one supplier at a time
Proceed to Uaccess Financials
Document overview (Description, Explanation
Delivery -> Search -> Building Code = 38 -> Return value -> Room # = 518 ->
Items -> Setup distribution -> Account number. *Check that the name of your project is under the account number* -> Object -> Code for chemicals (5280) -> For not chemicals (5290) -> PLUS SIGN -> In the second, level Distribute to Items -> In Item Type for Chemicals is Quantity tax exempt, but for any other supplies Quantity Taxable.
At the bottom click CALCULATE
SUBMIT

Look for the “Remote Desktop Connection” app in your computer.
Enter the name of the computer you want to access remotely in the blank space. The one in 518 lab is: cals-envs22-45.bluecat.arizona.edu
Log in with your NetID Catcard credentials.
Look for the Geochemist Workbench Program.
In case you need access to the VPN, follow the next link to Download, Install, and Log in to the VPN on your computer (this will only let you log in if you are outside campus; I don’t think it will let you log in if you are on the on-campus network).

Download the RS Key program: Download here!
Set up your interface in the same way as in this image:

Check on your computer devices (Bluetooth and devices -> Devices), for the port com number, and use that number for the RS Key program.

2 ANALYTICAL PROCEDURES

The following is a table showing the groups of different elements they analyze at ALEC.

Analysis	Volume needed
ICP-MS / ICP-AES / Arsenic Speciation	3 mL
Total Organic Carbon, Total Carbon and Total Nitrogen	17 mL
Ion Chromatography	1 mL
HPLC ICP-MS	300 uL (micro Liters)
HPLC electrospray ionization (ESI) MS	1 mL
Ferrozine method	ALEC does not run this. Fan/Fan method
TOTAL VOLUME NEEDED PER SAMPLING POINT:	25 mL

Equipment:

Inductively Coupled Plasma Mass Spectrometer (ICP-MS)

8900
7700-X

All ALEC samples need to be filtered with 0.45um filters before submitting them to the lab

Prepare a batch of 2% of High Purity Nitric Acid (HNO3)
Take 1 mL of the sample
Add 7mL of EDTA 0.25M for As Speciation. this EDTA step messed up the tubing on the ICP-MS machine so be careful
Add 2 mL of HNO3
Total volume of the mix in the tube: 10 mL
Dilution factor = Final Volume / Initial Volume = 10/1 = 10

HNO3 at 1% is prepared:

10 mL of UHP HNO3 from the purchased bottle
990 mL of DI water

Equipment:

Ion Chromatography- Dionex ICS-6000

2 mL of the sample
Nothing else is added to the samples

Prepare a batch of 2% of Hydrochloric acid (HCL)
Take 1 mL of the sample
Add 9 mL of HCL
Total volume of the mix in the tube: 10 mL
Dilution factor = Final Volume / Initial Volume = 10/1 = 10

2.0.1 Materials:

Ferrozine 5 grams container
Ferrous Ammonium Sulphate 500 grams container
Ammonium acetate in 245 or 518
Spectrophotometer (We have one in 508).
- Brand: Fisher Scientific
- Model: AccuSkan FC microplate photometer
- Catalog number 14377575
Wavelength filter for Iron should be 562 nm. Buy it here: ThermoFisher

2.0.2 Sample preparation

Complex is stable Between pH 4 and 10
Concentrations Between 0.01 - 3 ppm or between 2 – 10 ppm.
Match the metrics of your sample: Ionic Strength or Acid concentration
Use the cuvettes the same orientation always.
Add 100 microL of Ferrozine to all cuvettes. Including the blank, standards and samples.
Add 50microL of Buffer to all cuvettes and wait 5 minutes to color development.

2.0.3 Spectrophotometer

Turn on the spectrophotometer 15 minutes before the measurements
Set wavelength to 562 nm.
Use the cuvettes the same orientation always
Put the blank into the spectrophotometer and press the ZERO key.
Measure the standards and samples in the same manner and record the Absorbance values. As soon as possible to avoid degradation of color complexes.
Remove the samples from spectrophotometer.
Absorbance values above 2 are meaningless. Try again diluting them.
Plot Absorbance VS Fe(II) ppm

Equipment:

Carbon/Nitrogen Analyzer- Shimadzu TOC-L (Total Organic Carbon) + TNM-L (Total Nitrogen)

Sample prep:

5 mL of the sample
Nothing else is added to the sample

3 SPECTROSCOPY

The Orange Book

Download the Orange Book here

SYNCHROTRON VISIT LOGBOOK

The link above contains the scanned version of the synchrotron visit logbook with all the notes taken during synchrotron visits, from page 1 to page 233 of the logbook (last synchrotron visit scanned: December 2024). This helps identify the labels used on the data files scanned and if there were specific observations to note during the synchrotron visit.

3.0.1 LARCH Python package

3.0.1.1 XAFS Data processing

This example shows how to use Larch from Python/Jupyter for basic XAFS data processing:

read data from an Athena Project File
do XAFS background subtraction with autobk()
do XAFS Fourier transform with xfft()

https://github.com/xraypy/xraylarch/blob/master/examples/Jupyter/XAFS_Processing_matplotlib.ipynb

3.0.2 SIXPACK SOFTWARE

The link to the manual for data analyses of XAS is at this link: XAS Analysis Manual

For samples analyzed at SSRL:

SAMS VIEW

Add many files. All must be scan replicates of the same sample (files must be .xdi or .dat)
Detector: Germanium (most commonly).
Press Apply All.
Channel
- 1 for Arsenic. Or,
- 2 for Iron (check notebook)
Calibration. To shift my value of gold to wherever the peak of gold is on my muT2 Plot Type.
- Derivative must be First. Second one is too noisy.
- Replot
- Select the scan you want to calibrate.
- Press Find Data E0. This finds the peak for you. It must be around 11919 for gold.
  - Apparent: the one it finds
  - Actual: 11919 (gold)
  - Press Enter
- Press Apply Shift to Data. It will apply the shift that it found.

Clean the channels with weird data:
- Plot type: Column
- Derivative: None
- Column section:
  - IFall (to see all the channels plot at once)
  - IFind (to check channel by channel individually)
- Zero Selected Channel: for channels that are not working correctly
Plot Type: muF
Derivative: None
Stack All Plots
Save
- Group Spectra

3.0.3 ATHENA SOFTWARE

3.0.3.1 DATA NORMALIZATION

File
Import Files: your average .xdi file
- Numerator: u
- Denominator: nothing
- OK
Emax: 1100
E0: Depending on the element you are looking for, see below:
- 11885 for Arsenic
- 7125 for Fe
- 6565 for Mn
- 13100 for Pb
Deglitch and Truncate
- Locate this option on the Drop Menu under Main Window
- Truncate Data if you need to drop the last 3 data points (e.g. fluorescence from 11-2)
- Select the point you want to truncate at the end of the data. (Erase the last 3 points).
Main Window
Shade the first sample
On the Normalization Section:
- Pre-edge range: from -150, to: -70.
- Normalization range: from 150, to: target the end of your curve
- With this, you are Normalizing the data, so the Edge step is [post-edge line - pre-edge line], this may have gotten a value of around 0.something.
- Choose the type of Normalization that will make the pre-edge and post-edge line to be almost parallel for your sample.
  - Normalization order
    - 1 = no slope, (this one is UNcommon)
    - 2 = linear slope,
    - 3 = quadratic function
Forward Fourier transform parameters
- K-range should be the same in ALL the samples
Mark all your samples.
Group
- Set marked group values to current.
Finally, mark all your samples.
File
- Save EACH marked current group as:
  - Normalized E

3.0.3.2 LINEAR COMBINATION FITTING (automatic)

NOTE: For this process you must have all the scanned standards possibly existing on your system, to get how much percentage of each species is present on your sample.

Load your standards and sample files.
Shade your sample, do not mark it.
Mark your standards.
On the drop menu, look for the option: Linear Combination Fitting
Press Use Marked Groups.
On the Combinatorics section: select the number of standards you are using on the combination.
- Use at most ____ standards (the amount of standards you are using).
Beside the enlisted Standards, there is a “Required” checkbox, check it for your initial and ending species.
Press “Fit all combinations”
Results will be shown on the “Combinatorics” tab.
- The first combination on this list is your best fit, the one with the lower R-factor.
- The weight for each component is the percentage of the composition of your sample.
Save combinatorial results as an Excel file
Unselect your standards and select JUST the samples.
Now under the Standard tab, we have the correct weight parameters from the Combinatorial.
Press “Fit Marked Groups”, for all the scans to be fitted to this parameter.
Under the Sequence tab, we have all the scans with the composition of each (see column titles of the table), and the concentration of each.
Save that table by pressing “Save fit sequence report as an Excel file”
We can plot that data with “Plot components from fit sequence”.

3.0.4 Databases

3.0.4.1 International XAFS Database Portal of the Japanese XAFS Society

Masashi Ishii, https://ixdb.jxafs.org/, established in 2024.

Reference:

Ishii, M., Matsuda, A., Sakamoto, K., Yamashita, S., Niwa, Y. & Inada, Y. (2025). J. Synchrotron Rad. 32, https://doi.org/10.1107/S1600577525002206.

3.0.4.2 Solid Spectroscopy Hosting Architecture of Databases and Expertise

https://www.sshade.eu/

3.0.4.3 International X-ray Absorption Society (IXAS) Data Library

https://xaslib.xrayabsorption.org/elem/

Equipment: Nicolet Magna-IR 560 Fourier Transform Infrared (FTIR) Spectrometer

3.0.5 ATR-FTIR

Computer Password: UCMerced2014
OMNIC Software
Experiment: iS50 ATR
Close the sampler (2 clicks)
Experiment Setup -> Collect -> Number of scans: 64 -> Collect Background after 120 minutes -> Save
Collect Background (humidity always looks the same: 3 peaks between 2800 to 2000)
Start Collection (Up-right corner)
A message will come after saying the data collection has stopped. Add to a new window? YES!
File -> Save As -> Set Filename to Title -> Save it (SPA, SPC, CSV)
Experimental Setup -> Collect -> Use specified Background file -> Choose the one you just saved (get a new background every 4 hours) -> Ok
Put your sample under the sampler. Rotate it until hearing 2 clicks.
Collect Sample -> Fill the sample ID name –> Ok
Start Collection (Up-right corner) -> Add to Background? YES!
Common Scale. (Or Full scale if you prefer to see your sample closer.)
File -> Save As -> Set Filename to Title -> Save it (SPA, SPC, CSV)
Load a new sample to scan.
Collect Sample -> Fill the sample ID name –> Ok
Start Collection (Up-right corner) -> Add to Background? YES!
Common Scale. (Or Full scale if you prefer to see your sample closer.)
File -> Save As -> Set Filename to Title -> Save it (SPA, SPC, CSV)
Process -> Normalize Scale
Auto Baseline Correction
Analyze -> Search Peaks

4 MINERALOGY

You can get the .CIFF files for minerals at the RUFF database.

Cite the database as: Downs, R.T. and Hall-Wallace, M. (2003) The American Mineralogist Crystal Structure Database. American Mineralogist 88, 247-250. Link to paper

This procedure applies if you analyze your samples at Craig Rasmussen’s lab.

Request permission from him before using their facilities. Also, this machine emits radiation so is always good to communicate when you are using it.

NOTES:

The yellow light on the machine means it is shooting X-rays. The sample analyzer is delicate. Do not touch the doors because they are sensitive.
When running samples during the Monsoon season, the Tension and Current to use in the software will be 20 kV and 10 mA, respectively. For the rest of the year, it is 45 kV and 40 mA, respectively. This is because of the shortage of electricity during Monsoons.
The sample holder can take 15 samples per round of analyses.
It takes around 1 hour and 45 minutes per sample to run a Quantitative scan.

4.0.1 Sample prep

Find the Corundum (alpha-Al2O3) in the desiccator. Heat the Corundum in the oven for at least 1 hour at 550 Celsius. Let it refresh for 1 hour. Store the Corundum on the desiccator when all the work has finished. -`If using toxic samples, prepare them in the fume hood.
Using the Agate Mortar (or the ball mill), mix 1.5 gram of your sample, with 0.23 g of Corundum (meaning 15% of your sample). Take notes of the mass of sample, and Corundum used for each one. You need these data to fit your results afterwards.
Clean the mortar and sample holder with Ethanol in between samples.
Load your samples on the rings
Overload a bit the ring and compress it. (Each ring will consume approx. 1.5 grams of your sample).
Write your sample’s ID with a Sharpy over the ring.

4.0.2 Start set up

Log Notebook:

Check the tube counter and fill out the notebook log.
Got to: System Maintainance -> Tube Counters -> TOTAL
Take note on the before and after that number.
Add your name on it, and the samples you intent to run. At the end of your analyses, you have to add the tube counter number, so everyone knows how many each person used.

Water refill:

Check the water level and the filler on the back of the lab. Fill them with super clean water, such as UV Reverse Osmosis water. Craig buys gallons of that treated water, ask him to repay the amount of water you used with your project’s budget.

Computer:

Username: XRDAdmin
Password: braggX431

X’Pert Data Collector Software:

Username: Craig
Password: tippy
Connect to the instrument, and click ok for the message that comes in.
Click on “Instruments Settings” -> X-Ray -> Tension: 45 kV -> Current: 40 mA -> Apply (you’ll see the tension numbers changing on the machine)

Creating an analysis program for your samples

File -> New Program -> Sample Changer Batch -> OK -> Insert -> Parkash 5.70 -> Change The Folder -> New Folder -> Rob Root (if you are part of Chorover lab, put all your data inside Rob Root’s folder, with your name) -> Change the file name and put your sample’s ID -> Fill out the Positions (#1, #2…). Do it 15 times because that is the maximum of samples the sample holder can get per time.
Hit the Disk button -> Save Program As -> Use “Craig” as the user.

After loading your samples to the machine

Measure -> Program -> Select the program you just created for your samples -> OK
Bring a USB to extract your data.
The files will be on .XRDML format.
You can analyze that data with RockJok or X’pert. Check out the other sections of this repository to know how to analyze them.

After finished, change back the current and tension to 20kV and 10 mA to protect the machine. NEVER turn it off.

This analysis uses Full Pattern Summation and the “powdR” package to analyze x-ray diffraction patterns.

Intro to The powdR package

Research paper: powdR: An R package for quantitative mineralogy using full pattern summation of X-ray powder diffraction data.

References:

Chipera, Steve J., and David L. Bish. 2002. “FULLPAT: A full-pattern quantitative analysis program for X-ray powder diffraction using measured and calculated patterns.” Journal of Applied Crystallography 35 (6): 744–49. .
1. “Fitting Full X-Ray Diffraction Patterns for Quantitative Analysis: A Method for Readily Quantifying Crystalline and Disordered Phases.” Advances in Materials Physics and Chemistry 03 (01): 47–53. .
Eberl, D. D. 2003. “User’s guide to ROCKJOCK - A program for determining quantitative mineralogy from powder X-ray diffraction data.” Boulder, CA: USGS.

4.0.3 XRD Process Optimization

pH stability
- Selection of minerals based on the pH of the sample, prior to doing the Full-Pattern Summation
Adding more minerals to Rockjock
- Adding Alunite and the other 20 to the Rockjock library
Found Alunite in XAS
- Discovered Alunite through XAS (Jarosite but with Al instead of Fe). showing the need to wider the Rockjock library with other minerals.
Xpert is a slow process
- Checking which site has Alunite in Xpert one by one is a long process
Full Pattern Summation with Rockjock library
- Instead, check the sites automatically through Full Pattern Summation with the Rockjock library
VESTA to get XRD
- CIFF files were used to get the XRD through VESTA Wavelength Copper 1.5406 2theta range: 5 – 65 Step size: 0.02

We use the X’pert HighScore program to analyze the data with Rietveld Refinement.

📄 XRD Standard Operating Procedure

The following document was made by Alexander Ederer and edited by Xenia to add some Reitvield analysis steps.

📎 click here to view or download the XRD SOP.

Heat the Corundum (Aluminum Oxide) in the oven for 3 hours at 550 Celsius. The fume hood from Sam Rathke (srathke@arizona.edu) located at 503 lab works well for this.
Use 1.5 gram of your sample, with 0.23 g of Corundum (meaning 15% of your sample’s weight).
Use the ball mill to shake your sample with Corundum for 3 minutes.
Clean the ball mill between samples with Ethanol.
Then shake the ball mill with just Sand for another 3 minutes.
Then proceed to shake your following sample.
If you are not analyzing your samples yourself, you can send them to the Chemistry & Biochemistry Lab (Andrei Astachkine: andrei@arizona.edu)

The following chart from USGS helps identify the different clays using the separation in Armstrong. You can download that chart on the following link. (I recommend PDF format for more readability).

USGS OFR01-041: Clay Mineral Identification Flow Diagram. (n.d.). https://pubs.usgs.gov/of/2001/of01-041/htmldocs/flow/index.htm

5 PHYSICAL PROPERTIES

5.0.1 Sample preparation:

Liquid Nitrogen must be ordered beforehand, and it can be picked up from the Cryogenics Facilities from 8 to 11 a.m. every day. (See Administrative procedure for this, the link to order is there)
Check that the Gas Nitrogen is available for degassing.
Weight a clean, empty tube
Fill it with a sample
Weight the tube+sample
Degas the samples overnight with a temperature of 45 Celsius because I’m using tailings. (If I increase the temperature I could convert my ferrihydrite to Goethite, and we don’t want that.)

5.0.2 Computer procedure: Gemini program

Calibrate the machine with the Black Carbon sample, which has an SSA of about 21 m2/g.
Next
New
Method: Specific Surface Area
Sample: insert name (The way of saving a sample is: “YearMonthDay””sampleID””yourInitials”, example: 20230121_Keating_XD)
Operator: insert your initials
Calculate
Empty Weight
Sample+Tube Weight
Save As: same as sample name
Once your weights appear in the “Analysis” screen, you can press Start.

NOTE: If you have an error in the computer, take a screenshot and save it in the PPT that is open in that computer.

This is done with the Laser Diffraction from Marcel Schaap’s Lab.

Request permission from him before using their facilities.

Equipment: LS-13-320 Laser Diffraction Particle Size Analyzer

📄 Laser PSA Instructions

The following document was made by Mohaddese Effati and edited by Xenia for the analysis of mine tailings.

click here to view or download the Laser PSA Instructions.

5.0.3 HYPROP for Soil-Water Characteristic Curves

Work in progress…

5.0.3.1 Sample prep

Pack the HYPROP cells with sample at a bulk density equal to 2.2 g/cm3
To get that bulk density, we need to fill 525 g of material inside the 250 mL metal ring. Bulk Density = Mass / Volume = 525 g / 250 mL = 2.1 g/mL
Start filling the ring with sample until you get a height of 1 cm of material.
Compact it very well, and scratch the surface a little in 2 directions, like a cross.
Add another 1 cm layer of material, compact and scratch the surface.
Repeat again until you full 525 g of material inside the ring.

5.0.4 WP4-C

This is for the Dry part of the Soil-Water Characteristic Curve:

5.0.4.1 Bulk Density

Get the field bulk density of your sample and fill the cell called “B.D.” in the excel template that Mohammadreza prepared.
If necessary, bulk density can be obtained by filling a cylinder with known volume, with the soil, and weight the soil. Bulk density = soil mass/ volume of cylinder.

5.0.5 Moisture % for dry part of the SWCC

Weight each stainless-steel cup and insert that value on the cell “M_c”. Put the name of each sample on the stainless-steel cup with a Sharpy.
Bring your dry soil samples and take around 4 grams of each and put each on the stainless-steel cup. We need to preselect specific moisture content values for the dry part of the curve we are interested in studying. - This values can be based on the approximate known dry water content for each site. For example, if you know from previous studies an approximation of the dry water content, then the values should be around that. In this case we are selecting: 1% (0.01), 5% (0.05), 10% (0.10), 15% (0.15) and 20% (0.20). Insert these values on the cell called “th_v_1”.
The spreadsheet will indicate on the cell “M_w_1” how much water you should add to each sample to get the desired moisture content.
Add the amount of water to each sample, cover with the lead, cover it with aluminum foil, put all your samples in a Ziploc bag to avoid loss of moisture by evaporation. Put them in the fridge for 3 days.

5.0.6 WP4C calibration

Turn on the WP4C at least 15minutes before start using it.
Take your samples from the fridge and put them on the Temperature Equilibration Plate at 23 Celsius.
Using the Southeast button, verify that the temperature difference is always negative (Ts – Tb).. Then press the same button to go back to the main menu.
Poor the standard solution KCl in one of the cylinders and insert it to the sample holder. (The lead doesn’t fit the WP4C, so insert just the cylinder with no lead).
Press the Southwest button to go to the calibration menu. Then press the Northeast button to start the calibration. - Rotate the button until it is on the READ option.
It will take around 15 minutes, until it makes a peep sound, and flashes 3 times a green light.
The pressure result for the calibration should be -2.22 MPa. If it is not that, you can arrange the value (+ -) in the screen of the machine.

5.0.7 WP4C readings

Take out the KCl standard and insert your sample in the sampler holder. Read it. It will take around 15 minutes.
Take note of the tension in Mpa. Fill that value in the template in the cell “h”.
Immediately read the weight of the sample in the balance. Fill it out in the cell called “M_c_ws”.
Change to a new sample to read it.
After reading all the samples, put them in the oven with no lead for 24 hours at 105 Celsius.
Read the dry weight of each sample after the 24 hours. Insert that value o the cell called “M_c_ds”.
Insert all this information into the Excel template made by Mohammadreza to get the water content equivalent to each matric potential

6 EXPERIMENTS

The thesis of previous Chorover students help a lot with figuring out the steps to take for your experiments.

Lauren Bozeman’s thesis (2018) is good to learn this process.

Nick Buchanan’s thesis (2023) is good to learn this process.

7 PAPERS AND REFERENCES

7.0.1 LARCH & LMFIT

LMFIT

Newville, M., Otten, R., Nelson, A., Stensitzki, T., Ingargiola, A., Allan, D., Fox, A., Carter, F., & Rawlik, M. (2025). LMFIT: Non-Linear Least-Squares Minimization and Curve-Fitting for Python (1.3.3). Zenodo. https://doi.org/10.5281/zenodo.15014437

PCA with Larch

14.3. XANES Analysis: Linear Methods, Pre-edge Peak Fitting — xraylarch 2025.2.0 documentation. (n.d.). https://xraypy.github.io/xraylarch/xafs_xanes.html#principal-component-analysis

Pre-edge fitting

13.6. Fit Examples — xraylarch 2025.2.0 documentation. (n.d.). https://xraypy.github.io/xraylarch/fitting_examples.html#example-2-fitting-xanes-pre-edge-peaks

7.0.2 Synchrotron

Normalization process

Bugarin, L., Orduz, H. a. S., & Glatzel, P. (2024). Area normalization of HERFD-XANES spectra. Journal of Synchrotron Radiation, 31(5), 1118–1125. https://doi.org/10.1107/s1600577524005307

PPT with XANES explanation

https://docs.xrayabsorption.org/Workshops/NSLS2003/Bare.pdf

7.0.3 Sulfur XANES

Anzures, B. A., Parman, S. W., Milliken, R. E., Lanzirotti, A., & Newville, M. (2019). XANES spectroscopy of sulfides stable under reducing conditions. American Mineralogist, 105(3), 375–381. https://doi.org/10.2138/am-2020-7146

The SI of this paper has the Sulfur species calculation process with Gaussian curve fitting

Nash, W. M., Smythe, D. J., & Wood, B. J. (2018). Compositional and temperature effects on sulfur speciation and solubility in silicate melts. Earth and Planetary Science Letters, 507, 187–198. https://doi.org/10.1016/j.epsl.2018.12.006
Langman, J. B., Blowes, D. W., Veeramani, H., Wilson, D., Smith, L., Sego, D. C., & Paktunc, D. (2015). The mineral and aqueous phase evolution of sulfur and nickel with weathering of pyrrhotite in a low sulfide, granitic waste rock. Chemical Geology, 401, 169–179. https://doi.org/10.1016/j.chemgeo.2015.02.024

Fitting with Gaussian Curve Fitting (GCF)

Manceau, A., & Nagy, K. L. (2012). Quantitative analysis of sulfur functional groups in natural organic matter by XANES spectroscopy. Geochimica Et Cosmochimica Acta, 99, 206–223. https://doi.org/10.1016/j.gca.2012.09.033

Alunite pre-edge Iron Mountain paper

Majzlan, J., Alpers, C. N., Koch, C. B., McCleskey, R. B., Myneni, S. C., & Neil, J. M. (2011). Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California. Chemical Geology, 284(3–4), 296–305. https://doi.org/10.1016/j.chemgeo.2011.03.008
Wilke, M., Klimm, K., & Kohn, S. C. (2011). Spectroscopic studies on sulfur speciation in synthetic and natural glasses. Reviews in Mineralogy and Geochemistry | GeoScienceWorld. https://doi.org/10.2138/rmg.2011.73.3
Almkvist, G., Boye, K., & Persson, I. (2010). K-edge XANES analysis of sulfur compounds: an investigation of the relative intensities using internal calibration. Journal of Synchrotron Radiation, 17(5), 683–688. https://doi.org/10.1107/s0909049510022946
Fleet, M. E., Liu, X., Harmer, S. L., & King, P. L. (2005). SULFUR K-EDGE XANES SPECTROSCOPY: CHEMICAL STATE AND CONTENT OF SULFUR IN SILICATE GLASSES. The Canadian Mineralogist, 43(5), 1605–1618. https://doi.org/10.2113/gscanmin.43.5.1605
Li, D., Bancroft, G. M., Kasrai, M., Fleet, M. E., Feng, X., & Tan, K. (1995). S K-and L-edge X-ray absorption spectroscopy of metal sulfides and sulfates; applications in mineralogy and geochemistry. The Canadian Mineralogist, 33(5), 949-960. https://pubs-geoscienceworld-org.ezproxy1.library.arizona.edu/mac/canmin/article/33/5/949/12722/S-K-and-L-edge-X-ray-absorption-spectroscopy-of

7.0.4 Iron XAFS

Iron K-edge and L(III) edge analysis

Nakada, R., Sato, M., Ushioda, M., Tamura, Y., & Yamamoto, S. (2019). Variation of iron species in plagioclase crystals by X‐ray absorption fine Structure analysis.* Geochemistry Geophysics Geosystems*, 20(11), 5319–5333. https://doi.org/10.1029/2018gc008131

“Iron K-edge XANES has a pre-edge feature which shows the oxidation state and the coordination environment of an Fe atom. The pre-edge peak analysis was performed following the previous studies (Giuli et al., 2002; Nakada et al., 2014; Wilke et al., 2001).”

Determination of Fe oxidation state using the pre-edge centroid position

Wilke, M., Partzsch, G. M., Bernhardt, R., & Lattard, D. (2004). Determination of the iron oxidation state in basaltic glasses using XANES at the K-edge. Chemical Geology, 213(1–3), 71–87. https://doi.org/10.1016/j.chemgeo.2004.08.034

LMFIT Python tool

https://lmfit.github.io/lmfit-py/

7.0.5 Scorodite

Tabelin, C. B., Corpuz, R. D., Igarashi, T., Villacorte-Tabelin, M., Ito, M., & Hiroyoshi, N. (2019). Hematite-catalysed scorodite formation as a novel arsenic immobilisation strategy under ambient conditions. Chemosphere, 233, 946–953. https://doi.org/10.1016/j.chemosphere.2019.06.020
Zhu, X., Nordstrom, D. K., McCleskey, R. B., Wang, R., Lu, X., Li, S., & Teng, H. H. (2019). On the thermodynamics and kinetics of scorodite dissolution. Geochimica Et Cosmochimica Acta, 265, 468–477. https://doi.org/10.1016/j.gca.2019.09.012
- The effect of crystal size on solubility. It is well-known that, due to the Gibbs-Thompson effect, solubility of small particles increases with increasing curvature (reciprocal of particle radius) of the dissolving grains.
- Natural scorodite is usually small (mostly nano-sized).

7.0.6 Iron

Fe(OH)2 synthesis method

Ona-Nguema, G., Morin, G., Wang, Y., Menguy, N., Juillot, F., Olivi, L., Aquilanti, G., Abdelmoula, M., Ruby, C., Bargar, J. R., Guyot, F., Calas, G., & Brown, G. E. (2008). Arsenite sequestration at the surface of nano-Fe(OH)2, ferrous-carbonate hydroxide, and green-rust after bioreduction of arsenic-sorbed lepidocrocite by Shewanella putrefaciens. Geochimica Et Cosmochimica Acta, 73(5), 1359–1381. https://doi.org/10.1016/j.gca.2008.12.005

7.0.7 Arsenic Speciation

Intro to the Arsenic Speciation

Wisawapipat, W., Christl, I., Bouchet, S., Fang, X., Chareonpanich, M., & Kretzschmar, R. (2024). Temporal development of arsenic speciation and extractability in acidified and non-acidified paddy soil amended with silicon-rich fly ash and manganese- or zinc-oxides under flooded and drainage conditions. Chemosphere, 351, 141140. https://doi.org/10.1016/j.chemosphere.2024.141140
Sherman, D. M., & Randall, S. R. (2003). Surface complexation of arsenic(V) to iron(III) (hydr)oxides: structural mechanism from ab initio molecular geometries and EXAFS spectroscopy. Geochimica Et Cosmochimica Acta, 67(22), 4223–4230. https://doi.org/10.1016/s0016-7037(03)00237-0

Scorodite paper

Foster, A. L., Ashley, R. P., & Rytuba, J. J. (2011). Arsenic species in weathering mine tailings and biogenic solids at the Lava Cap Mine Superfund Site, Nevada City, CA. Geochemical Transactions, 12(1). https://doi.org/10.1186/1467-4866-12-1

Arseniosiderite .CIFF file

King, G., Celikin, M., Gomez, M. A., Becze, L., Petkov, V., & Della Ventura, G. (2020). Revealing the structures and relationships of Ca(ii)–Fe(iii)–AsO4 minerals: arseniosiderite and yukonite. Environmental Science Nano, 7(12), 3735–3745. https://doi.org/10.1039/d0en00503g

Schwertmannite and Jarosite in AMD

Burton, E. D., Karimian, N., Johnston, S. G., Schoepfer, V. A., Choppala, G., & Lamb, D. (2021). Arsenic-Imposed effects on Schwertmannite and jarosite formation in acid mine drainage and coupled impacts on arsenic mobility. ACS Earth and Space Chemistry, 5(6), 1418–1435. https://doi.org/10.1021/acsearthspacechem.1c00047

Ma’Ins suggestion on Arsenic speciation

Essilfie-Dughan, J., Hendry, M. J., Warner, J., & Kotzer, T. (2012). Arsenic and iron speciation in uranium mine tailings using X-ray absorption spectroscopy. Applied Geochemistry, 28, 11–18. https://doi.org/10.1016/j.apgeochem.2012.10.022

7.0.8 Mineralogy

7.0.9 Bioaccesibility

Kastury, F., Besedin, J., Betts, A. R., Asamoah, R., Herde, C., Netherway, P., Tully, J., Scheckel, K. G., & Juhasz, A. L. (2024). Arsenic, cadmium, lead, antimony bioaccessibility and relative bioavailability in legacy gold mining waste. Journal of Hazardous Materials, 469, 133948. https://doi.org/10.1016/j.jhazmat.2024.133948
Liu, R., Kong, S., Shao, Y., Cai, D., Bai, B., Wei, X., Root, R. A., Gao, X., Li, C., & Chorover, J. (2023). Mechanisms and health implications of toxicity increment from arsenate-containing iron minerals through in vitro gastrointestinal digestion. Geoderma, 432, 116377. https://doi.org/10.1016/j.geoderma.2023.116377

7.0.10 uXCT

Pink Beam

Rivers, M. L. (2016). High-speed tomography using pink beam at GeoSoilEnviroCARS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 9967, 99670X. https://doi.org/10.1117/12.2238240

7.0.11 Pyrite weathering

Roy, G., & Valsala, R. (2024). Hydrogeochemical modelling of pyrite oxidation ion mobility in unsaturated mine waste rock piles. Environmental Earth Sciences, 83(4). https://doi.org/10.1007/s12665-023-11414-z
Gu, X., Heaney, P. J., Reis, F. D. a. A., & Brantley, S. L. (2020). Deep abiotic weathering of pyrite. Science, 370(6515). https://doi.org/10.1126/science.abb8092

7.0.12 Critical Zone

Fang, Q., Lu, A., Hong, H., Kuzyakov, Y., Algeo, T. J., Zhao, L., Olshansky, Y., Moravec, B., Barrientes, D. M., & Chorover, J. (2023). Mineral weathering is linked to microbial priming in the critical zone. Nature Communications, 14(1). https://doi.org/10.1038/s41467-022-35671-x

Liu, R., Kong, S., Shao, Y., Cai, D., Bai, B., Wei, X., Root, R. A., Gao, X., Li, C., & Chorover, J. (2023). Mechanisms and health implications of toxicity increment from arsenate-containing iron minerals through in vitro gastrointestinal digestion. Geoderma, 432, 116377. https://doi.org/10.1016/j.geoderma.2023.116377
Root, R. A., & Chorover, J. (2022). Molecular speciation controls arsenic and lead bioaccessibility in fugitive dusts from sulfidic mine tailings. Environmental Science Processes & Impacts, 25(2), 288–303. https://doi.org/10.1039/d2em00182a
Hammond, C. M., Root, R. A., Maier, R. M., & Chorover, J. (2022). Metal lability and mass transfer response to Direct-Planting phytostabilization of pyritic mine tailings. Minerals, 12(6), 757. https://doi.org/10.3390/min12060757
Vázquez-Ortega, A., Perdrial, N., Reinoso-Maset, E., Root, R. A., O’Day, P. A., & Chorover, J. (2021). Phosphate controls uranium release from acidic waste-weathered Hanford sediments. Journal of Hazardous Materials, 416, 126240. https://doi.org/10.1016/j.jhazmat.2021.126240
Hammond, C. M., Root, R. A., Maier, R. M., & Chorover, J. (2020). Arsenic and iron speciation and mobilization during phytostabilization of pyritic mine tailings. Geochimica Et Cosmochimica Acta, 286, 306–323. https://doi.org/10.1016/j.gca.2020.07.001
Thomas, A. N., Root, R. A., Lantz, R. C., Sáez, A. E., & Chorover, J. (2018). Oxidative Weathering Decreases Bioaccessibility of Toxic Metal(loid)s in PM10 Emissions From Sulfide Mine Tailings. GeoHealth, 2(4), 118–138. https://doi.org/10.1002/2017gh000118
Hammond, C. M., Root, R. A., Maier, R. M., & Chorover, J. (2017). Mechanisms of Arsenic Sequestration by Prosopis juliflora during the Phytostabilization of Metalliferous Mine Tailings. Environmental Science & Technology, 52(3), 1156–1164. https://doi.org/10.1021/acs.est.7b04363
Root, R. A., Hayes, S. M., Hammond, C. M., Maier, R. M., & Chorover, J. (2015). Toxic metal(loid) speciation during weathering of iron sulfide mine tailings under semi-arid climate. Applied Geochemistry, 62, 131–149. https://doi.org/10.1016/j.apgeochem.2015.01.005
Hayes, S. M., Root, R. A., Perdrial, N., Maier, R. M., & Chorover, J. (2014). Surficial weathering of iron sulfide mine tailings under semi-arid climate. Geochimica Et Cosmochimica Acta, 141, 240–257. https://doi.org/10.1016/j.gca.2014.05.030
Hayes, S. M., Webb, S. M., Bargar, J. R., O’Day, P. A., Maier, R. M., & Chorover, J. (2012). Geochemical weathering increases lead bioaccessibility in Semi-Arid mine tailings. Environmental Science & Technology, 46(11), 5834–5841. https://doi.org/10.1021/es300603s
Hayes, S. M., White, S. A., Thompson, T. L., Maier, R. M., & Chorover, J. (2009). Changes in lead and zinc lability during weathering-induced acidification of desert mine tailings: Coupling chemical and micro-scale analyses. Applied Geochemistry, 24(12), 2234–2245. https://doi.org/10.1016/j.apgeochem.2009.09.010
Root, R. A., Dixit, S., Campbell, K. M., Jew, A. D., Hering, J. G., & O’Day, P. A. (2007). Arsenic sequestration by sorption processes in high-iron sediments. Geochimica Et Cosmochimica Acta, 71(23), 5782–5803. https://doi.org/10.1016/j.gca.2007.04.038
Thompson, A., Chadwick, O. A., Boman, S., & Chorover, J. (2006). Colloid mobilization during soil iron redox oscillations. Environmental Science & Technology, 40(18), 5743–5749. https://doi.org/10.1021/es061203b

7.0.13 Applied Geochemistry

Bailey, A. S., Jamieson, H. E., & Radková, A. B. (2021). Geochemical characterization of dust from arsenic-bearing tailings, Giant Mine, Canada. Applied Geochemistry, 135, 105119. https://doi.org/10.1016/j.apgeochem.2021.105119
Fukushi, K., Aoyama, K., Yang, C., Kitadai, N., & Nakashima, S. (2013). Surface complexation modeling for sulfate adsorption on ferrihydrite consistent with in situ infrared spectroscopic observations. Applied Geochemistry, 36, 92–103. https://doi.org/10.1016/j.apgeochem.2013.06.013
Hayes, S. M., White, S. A., Thompson, T. L., Maier, R. M., & Chorover, J. (2009). Changes in lead and zinc lability during weathering-induced acidification of desert mine tailings: Coupling chemical and micro-scale analyses. Applied Geochemistry, 24(12), 2234–2245. https://doi.org/10.1016/j.apgeochem.2009.09.010
Slowey, A. J., Johnson, S. B., Newville, M., & Brown, G. E. (2007). Speciation and colloid transport of arsenic from mine tailings. Applied Geochemistry, 22(9), 1884–1898. https://doi.org/10.1016/j.apgeochem.2007.03.053

7.0.14 Chemosphere

Wang, S., & Mulligan, C. N. (2008). Enhanced mobilization of arsenic and heavy metals from mine tailings by humic acid. Chemosphere, 74(2), 274–279. https://doi.org/10.1016/j.chemosphere.2008.09.040
Milton, A., & Johnson, M. (1999). Arsenic in the food chains of a revegetated metalliferous mine tailings pond. Chemosphere, 39(5), 765–779. https://doi.org/10.1016/s0045-6535(99)00012-0

7.0.15 Environmental Pollution

Mensah, A. K., Marschner, B., Shaheen, S. M., Wang, J., Wang, S., & Rinklebe, J. (2020). Arsenic contamination in abandoned and active gold mine spoils in Ghana: Geochemical fractionation, speciation, and assessment of the potential human health risk. Environmental Pollution, 261, 114116. https://doi.org/10.1016/j.envpol.2020.114116

7.0.16 Environmental Research

Beeston, M. P., Van Elteren, J. T., Šlejkovec, Z., & Glass, H. J. (2008). Migration of arsenic from old tailings ponds—A case study on the King Edward Mine, Cornwall, UK. Environmental Research, 108(1), 28–34. https://doi.org/10.1016/j.envres.2008.05.002

7.0.17 Environmental Science & Technology

Sun, X., Kong, T., Huang, D., Chen, Z., Zhang, Y., Häggblom, M. M., Soleimani, M., Liu, H., Ren, Y., Wang, Y., Huang, Y., Li, B., & Sun, W. (2024). Microbial Sulfur and Arsenic Oxidation Facilitate the Establishment of Biocrusts during Reclamation of Degraded Mine Tailings. Environmental Science & Technology, 58(28), 12441–12453. https://doi.org/10.1021/acs.est.3c10945
Gil-Loaiza, J., Field, J. P., White, S. A., Csavina, J., Felix, O., Betterton, E. A., Sáez, A. E., & Maier, R. M. (2018). Phytoremediation Reduces Dust Emissions from Metal(loid)-Contaminated Mine Tailings. Environmental Science & Technology, 52(10), 5851–5858. https://doi.org/10.1021/acs.est.7b05730
Hammond, C. M., Root, R. A., Maier, R. M., & Chorover, J. (2017). Mechanisms of Arsenic Sequestration by Prosopis juliflora during the Phytostabilization of Metalliferous Mine Tailings. Environmental Science & Technology, 52(3), 1156–1164. https://doi.org/10.1021/acs.est.7b04363
Majzlan, J., Plášil, J., Škoda, R., Gescher, J., Kögler, F., Rusznyak, A., Küsel, K., Neu, T. R., Mangold, S., & Rothe, J. (2014). Arsenic-Rich Acid Mine Water with Extreme Arsenic Concentration: Mineralogy, Geochemistry, Microbiology, and Environmental Implications. Environmental Science & Technology, 48(23), 13685–13693. https://doi.org/10.1021/es5024916
Meunier, L., Walker, S. R., Wragg, J., Parsons, M. B., Koch, I., Jamieson, H. E., & Reimer, K. J. (2010). Effects of Soil Composition and Mineralogy on the Bioaccessibility of Arsenic from Tailings and Soil in Gold Mine Districts of Nova Scotia. Environmental Science & Technology, 44(7), 2667–2674. https://doi.org/10.1021/es9035682
Thompson, A., Chadwick, O. A., Boman, S., & Chorover, J. (2006). Colloid mobilization during soil iron redox oscillations. Environmental Science & Technology, 40(18), 5743–5749. https://doi.org/10.1021/es061203b
Paktunc, D., Foster, A., & Laflamme, G. (2003). Speciation and characterization of arsenic in Ketza River mine tailings using X-ray absorption spectroscopy. Environmental Science & Technology, 37(10), 2067–2074. https://doi.org/10.1021/es026185m
American Chemical Society. (2002). Stabilization of available arsenic in highly contaminated mine tailings using iron. ACS Publications. https://doi.org/10.1021/es020799

7.0.18 Geochimica et Cosmochimica Acta

Hammond, C. M., Root, R. A., Maier, R. M., & Chorover, J. (2020). Arsenic and iron speciation and mobilization during phytostabilization of pyritic mine tailings. Geochimica Et Cosmochimica Acta, 286, 306–323. https://doi.org/10.1016/j.gca.2020.07.001
Hayes, S. M., Root, R. A., Perdrial, N., Maier, R. M., & Chorover, J. (2014). Surficial weathering of iron sulfide mine tailings under semi-arid climate. Geochimica Et Cosmochimica Acta, 141, 240–257. https://doi.org/10.1016/j.gca.2014.05.030
Root, R. A., Dixit, S., Campbell, K. M., Jew, A. D., Hering, J. G., & O’Day, P. A. (2007). Arsenic sequestration by sorption processes in high-iron sediments. Geochimica Et Cosmochimica Acta, 71(23), 5782–5803. https://doi.org/10.1016/j.gca.2007.04.038

7.0.19 Geochemical transactions

Foster, A. L., Ashley, R. P., & Rytuba, J. J. (2011). Arsenic species in weathering mine tailings and biogenic solids at the Lava Cap Mine Superfund Site, Nevada City, CA. Geochemical Transactions, 12(1). https://doi.org/10.1186/1467-4866-12-1

7.0.20 Journal of Cleaner Production

Akhavan, A., & Golchin, A. (2021). Estimation of arsenic leaching from Zn–Pb mine tailings under environmental conditions. Journal of Cleaner Production, 295, 126477. https://doi.org/10.1016/j.jclepro.2021.126477
Kim, B., Jang, J., Park, C., Han, O., & Kim, H. (2016). Recycling of arsenic-rich mine tailings in controlled low-strength materials. Journal of Cleaner Production, 118, 151–161. https://doi.org/10.1016/j.jclepro.2016.01.047
Argane, R., Benzaazoua, M., Hakkou, R., & Bouamrane, A. (2015). A comparative study on the practical use of low sulfide base-metal tailings as aggregates for rendering and masonry mortars. Journal of Cleaner Production, 112, 914–925. https://doi.org/10.1016/j.jclepro.2015.06.004
Park, J., Han, Y., Lee, E., Choi, U., Yoo, K., Song, Y., & Kim, H. (2014). Bioleaching of highly concentrated arsenic mine tailings by Acidithiobacillus ferrooxidans. Separation and Purification Technology, 133, 291–296. https://doi.org/10.1016/j.seppur.2014.06.054

7.0.21 Journal of Environmental Quality

Rakotonimaro, T. V., Guittonny, M., Neculita, C. M., Trépanier, F., & Pépin, G. (2019). Evaluation of Arsenic Leaching Potential in Gold Mine Tailings Amended with Peat and Mine Drainage Treatment Sludge. Journal of Environmental Quality, 48(3), 735–745. https://doi.org/10.2134/jeq2018.11.0392

7.0.22 Journal of Geochemical Exploration

Kim, K., Lee, B., & Kim, K. (2011). Arsenic stabilization in mine tailings using nano-sized magnetite and zero valent iron with the enhancement of mobility by surface coating. Journal of Geochemical Exploration, 113, 124–129. https://doi.org/10.1016/j.gexplo.2011.07.002

7.0.23 Journal of Hazardous Materials

Faybishenko, B., Bakhtavar, E., Hewage, K., & Sadiq, R. (2023). Chemical composition of arsenic-based acid mine drainage in the downstream of a gold mine: Fuzzy regression and clustering analysis. Journal of Hazardous Materials, 465, 133250. https://doi.org/10.1016/j.jhazmat.2023.133250
Wang, S., & Mulligan, C. N. (2009). Effect of natural organic matter on arsenic mobilization from mine tailings. Journal of Hazardous Materials, 168(2–3), 721–726. https://doi.org/10.1016/j.jhazmat.2009.02.088

7.0.24 Narute Communications

Fang, Q., Lu, A., Hong, H., Kuzyakov, Y., Algeo, T. J., Zhao, L., Olshansky, Y., Moravec, B., Barrientes, D. M., & Chorover, J. (2023). Mineral weathering is linked to microbial priming in the critical zone. Nature Communications, 14(1). https://doi.org/10.1038/s41467-022-35671-x
Mihajlov, I., Mozumder, M. R. H., Bostick, B. C., Stute, M., Mailloux, B. J., Knappett, P. S. K., Choudhury, I., Ahmed, K. M., Schlosser, P., & Van Geen, A. (2020). Arsenic contamination of Bangladesh aquifers exacerbated by clay layers. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-16104-z

7.0.25 Narute Communications Earth & Environment

Wu, M., Qi, C., Derrible, S., Choi, Y., Fourie, A., & Ok, Y. S. (2024). Regional and global hotspots of arsenic contamination of topsoil identified by deep learning. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-023-01177-7

7.0.26 Nature Scientific Reports

Ji, H., Zhang, J., Zhao, Y., Huang, H., Ma, Y., Liang, D., Chen, F., Huo, H., Wang, S., & Xie, T. (2025). Heavy metal pollution migration and its ecological impact on microbial communities in the karst region of Guangxi. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-98809-z
Dradrach, A., Nowosad, K., Kozak, B., & Karczewska, A. (2024). Arsenic uptake by Agrostis capillaris, as related to its genotypic diversity in the area of historical ore mining and processing. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-63830-1
Wang, W., Xue, J., Zhang, L., He, M., & You, J. (2024). Extraction of heavy metals from copper tailings by ryegrass (Lolium perenne L.) with the assistance of degradable chelating agents. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-58486-w
Pakostova, E., Hilger, D. M., Blowes, D. W., & Ptacek, C. J. (2023). Microbial processes with the potential to mobilize As from a circumneutral-pH mixture of flotation and roaster tailings. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-50435-3
Alam, M. A., Mukherjee, A., Bhattacharya, P., & Bundschuh, J. (2023). An appraisal of the principal concerns and controlling factors for Arsenic contamination in Chile. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-38437-7
Dusengemungu, L., Mubemba, B., & Gwanama, C. (2022). Evaluation of heavy metal contamination in copper mine tailing soils of Kitwe and Mufulira, Zambia, for reclamation prospects. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-15458-2
Wongsasuluk, P., Tun, A. Z., Chotpantarat, S., & Siriwong, W. (2021). Related health risk assessment of exposure to arsenic and some heavy metals in gold mines in Banmauk Township, Myanmar. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-02171-9
Chung, A. P., Coimbra, C., Farias, P., Francisco, R., Branco, R., Simão, F. V., Gomes, E., Pereira, A., Vila, M. C., Fiúza, A., Mortensen, M. S., Sørensen, S. J., & Morais, P. V. (2019). Tailings microbial community profile and prediction of its functionality in basins of tungsten mine. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-55706-6

7.0.27 Nature Precedings

Rayne, S., & Forest, K. (2008). Potential impacts of tailings and tailings cover fertilization on arsenic mobility in surface and ground waters. Nature Precedings. https://doi.org/10.1038/npre.2008.1740.1

7.0.28 NPJ

Corkhill, C. L., Crean, D. E., Bailey, D. J., Makepeace, C., Stennett, M. C., Tappero, R., Grolimund, D., & Hyatt, N. C. (2017). Multi-scale investigation of uranium attenuation by arsenic at an abandoned uranium mine, South Terras. Npj Materials Degradation, 1(1). https://doi.org/10.1038/s41529-017-0019-9

7.0.29 Proceedings of the National Academy of Sciences (PNAS)

Brown, G. E., Foster, A. L., & Ostergren, J. D. (1999). Mineral surfaces and bioavailability of heavy metals: A molecular-scale perspective. Proceedings of the National Academy of Sciences, 96(7), 3388–3395. https://doi.org/10.1073/pnas.96.7.3388
Nordstrom, D. K., & Alpers, C. N. (1999). Negative pH, efflorescent mineralogy, and consequences for environmental restoration at the Iron Mountain Superfund site, California. Proceedings of the National Academy of Sciences, 96(7), 3455–3462. https://doi.org/10.1073/pnas.96.7.3455

7.0.30 Science of the Total Environment

Little, A. J., Sivarajah, B., Frendo, C., Sprague, D. D., Smol, J. P., & Vermaire, J. C. (2019). The impacts of century-old, arsenic-rich mine tailings on multi-trophic level biological assemblages in lakes from Cobalt (Ontario, Canada). The Science of the Total Environment, 709, 136212. https://doi.org/10.1016/j.scitotenv.2019.136212

7.0.31 Water Research

Seidel, H., Görsch, K., Amstätter, K., & Mattusch, J. (2005). Immobilization of arsenic in a tailings material by ferrous iron treatment. Water Research, 39(17), 4073–4082. https://doi.org/10.1016/j.watres.2005.08.001

1 ADMINISTRATIVE PROCEDURES

2 ANALYTICAL PROCEDURES

2.0.1 Materials:

2.0.2 Sample preparation

2.0.3 Spectrophotometer

3 SPECTROSCOPY

3.0.1 LARCH Python package

3.0.1.1 XAFS Data processing

3.0.1.2 Iron K-edge processing example

3.0.1.3 XANES PCA train

3.0.1.4 FEFF Fitting

3.0.2 SIXPACK SOFTWARE

3.0.3 ATHENA SOFTWARE

3.0.3.1 DATA NORMALIZATION

3.0.3.2 LINEAR COMBINATION FITTING (automatic)

3.0.4 Databases

3.0.4.1 International XAFS Database Portal of the Japanese XAFS Society

3.0.4.2 Solid Spectroscopy Hosting Architecture of Databases and Expertise

3.0.4.3 International X-ray Absorption Society (IXAS) Data Library

3.0.5 ATR-FTIR

4 MINERALOGY

4.0.1 Sample prep

4.0.2 Start set up

4.0.3 XRD Process Optimization

📄 XRD Standard Operating Procedure

5 PHYSICAL PROPERTIES

5.0.1 Sample preparation:

5.0.2 Computer procedure: Gemini program

📄 Laser PSA Instructions

5.0.3 HYPROP for Soil-Water Characteristic Curves

5.0.3.1 Sample prep

5.0.4 WP4-C

5.0.4.1 Bulk Density

5.0.5 Moisture % for dry part of the SWCC

5.0.6 WP4C calibration

5.0.7 WP4C readings

6 EXPERIMENTS

7 PAPERS AND REFERENCES

7.0.1 LARCH & LMFIT

7.0.2 Synchrotron

7.0.3 Sulfur XANES

7.0.4 Iron XAFS

7.0.5 Scorodite

7.0.6 Iron

7.0.7 Arsenic Speciation

7.0.8 Mineralogy

7.0.9 Bioaccesibility

7.0.10 uXCT

7.0.11 Pyrite weathering

7.0.12 Critical Zone

7.0.13 Applied Geochemistry

7.0.14 Chemosphere

7.0.15 Environmental Pollution

7.0.16 Environmental Research

7.0.17 Environmental Science & Technology

7.0.18 Geochimica et Cosmochimica Acta

7.0.19 Geochemical transactions

7.0.20 Journal of Cleaner Production

7.0.21 Journal of Environmental Quality

7.0.22 Journal of Geochemical Exploration

7.0.23 Journal of Hazardous Materials

7.0.24 Narute Communications

7.0.25 Narute Communications Earth & Environment

7.0.26 Nature Scientific Reports

7.0.27 Nature Precedings

7.0.28 NPJ

7.0.29 Proceedings of the National Academy of Sciences (PNAS)

7.0.30 Science of the Total Environment

7.0.31 Water Research