Effects of soil composition and mineralogy on the bioaccessibility of arsenic. from tailings and soil in gold mine districts of Nova Scotia

Similar documents
UK Baseline Geochemistry: A Key Environmental Yardstick

Sorting and Drying Code Price Unit. Sorting and Boxing of Samples, received as pulps SORTBOX 0.00 Sample

CERTIFICATE OF ANALYSIS REVISED REPORT

SCOPE OF ACCREDITATION TO ISO GUIDE 34:2009

Core Analysis with the Tracer

Part 1. Preparation and Color of Solutions. Experiment 1 (2 session lab) Electrons and Solution Color. Pre-lab Report, page 29

XRF DRIFT MONITORS DATA CALIBRATION MATERIAL

Evidence of Performance regarding the requirements for float glass according to EN 572

STANDARD DI VETRI E MATERIALI CERAMICI

Lower Cost Higher Performance Graphite for LIBs. Prepared by: Dr. Edward R. Buiel President and CEO Coulometrics, LLC. Date: March 23, 2017

Where do we start? ocreate the Universe oform the Earth and elements omove the elements into their correct positions obuild the atmosphere and oceans

The image part with relationship ID rid4 was not found in the file. Welcome

High Purity Acids Trace Elemental Analysis. Detect as low as 1 to 100 ppt

SPECTRAL INTERFERENCE IN X-RAY FLUORESCENCE ANALYSIS OF COMMON MATERIALS

CERTIFICATE OF ANALYSIS

Chemical quality of household water in Bangladesh

Summary of Geochemical Atlas Information

Families on the Periodic Table

DETERMINATION OF ELEMENTS IN DRINKING WATER AS PER BUREAU OF INDIAN STANDARDS 10500, & USING THE AGILENT 5100 ICP-OES

Composition Analysis of Animal Feed by HR ICP-OES

Locked Cycle Leaching Test and Yellowcake Precipitation

AAS - Atomic Absorption Mono Element ppm Standard Solutions (Spectro ECON)

EFFECT OF LEAD NITRATE ON CYANIDATION OF ANTIMONIAL REFRACTORY GOLD AND SILVER ORES

CARBOWAX SENTRY Polyethylene Glycol (PEG) and Methoxypolyethylene Glycol (MPEG) Products

SUB-Programs - Calibration range Fe Base for "PMI-MASTER Pro" Spark - mode Fe 000

The Helmholtz Institute Freiberg Resource Technology Made in Germany

S2 RANGER LE: Analysis of Light Elements in Cement, Slags and Feldspar

This resource contains three different versions of the periodic table, including a blank one for colouring!

Preliminary Report on the International Energy Agency Mode of Occurrence Inter-laboratory Comparison: Phase I; USGS Results

High-Purity Acids & Reagents

EU Water Analysis Using the Thermo Scientific icap 7400 ICP-OES Duo

Corrosion Studies on GeoBrom HG520

ANALYTICAL REFERENCE MATERIALS INTERNATIONAL Part of LGC Standards 3 Perimeter Road, Unit 9 Manchester, NH USA

New GCSE 4462/02 SCIENCE A HIGHER TIER CHEMISTRY 1

Soil quality and links to health

Corrosion Studies on GeoBrom HG520

The Determination of Trace Elements in Stainless Steel by Forked Platform GFAAS

Database. Sept , 2014, Aachen, Germany. Thermo-Calc Anwendertreffen

Table of Contents. Quality Management LIMS System... Customer Services...

Metals enable a sustainable society (Cu) Product & mineral centric systems. System integration & Design for Recycling

IMS INSTITUTE PROVIDER PROGRAMME FOR 2018

Schedule of Accreditation issued by United Kingdom Accreditation Service 2 Pine Trees, Chertsey Lane, Staines-upon-Thames, TW18 3HR, UK

Bertil Norén. Processing Manager, Björkdalsgruvan. Euromine Expo, Skellefteå June 15, 2016

Corrosion Studies on GeoBrom HG520

SPECTRO XRF Report. SPECTRO xsortxhh03. Analysis of Solid Metal Samples. Summary

Chapter 1.6. Polished Single-Crystal Silicon, Prime Wafers (all numbers nominal) Wafer Specification Table. Diameter 100 mm 4-inch 150 mm 6-inch

METALLIC MATERIALS SPECIFICATION HANDBOOK

Groups of Elements 3B 5B 6B 7B 2 C. 10 Na. 36 Rb. 54 Cs. 86 Fr. 57 Ac. 71 Th. Nitrogen group. Alkali metals. Alkaline earth metals.

49. MASS BALANCING AND DATA RECONCILIATION EXAMPLES

Dr Nick Voulvoulis. Presentation at the Industrial Waste & Wastewater Treatment & Valorisation conference May 2015, Athens, Greece

Innovative Mine Waste Management Planning at a Site with Multiple Waste Streams

Scaling Geochemical Loads in Mine Drainage Chemistry Modeling: An Empirical Derivation of Bulk Scaling Factors

BLACK STURGEON LAKES WATER QUALITY MONITORING

Elements and Compounds

PROFICIENCY TESTING PROGRAMS SOILS & INPUTS

Strong Acid Leachable Metals (SALM) in Soil - Prescriptive

Health risk estimate for groundwater and soil contamination in the Slovak Republic a convenient tool for identification of risk areas

Introduction Materials scarcity in general, exponential growth

Appendix A preliminary chemical study of Grey and Black Polished II (IV) pottery with the employment of pxrf

QEMSCAN analysis - Example Report Cu-bearing Mill Products

Schedule of Accreditation issued by United Kingdom Accreditation Service 2 Pine Trees, Chertsey Lane, Staines-upon-Thames, TW18 3HR, UK

Web Mapping Service of Natural Background Values of Groundwater in Germany

TOP INORGANIC STANDARDS

Issue February 2017 Valid to December ISO 9001 Registered Quality Management

ATI FLAT ROLLED PRODUCTS Brackenridge, PA for technical competence in the field of

TECHNICAL MEMORANDUM

The Agilent Atomic Spectroscopy portfolio for Environmental applications AA, MP-AES, ICP-OES, ICP-MS & ICP-QQQ

9 Toxins / 11 Essential Minerals

Water Analysis Using ICP-OES with an Ultrasonic Nebulizer

Pozzolanic Activity of Recycled Red Ceramic Bricks

Accuracy in Powder Diffraction IV NIST, Gaithersburg MD, USA April 22-25, Uwe König Thomas Degen PANalytical B.V. Almelo, The Netherlands

Test Report No. F690101/LF-CTSAYHA Issued Date : August 20, 2013 Page 1 of 5

Chem. 451 (Spring, 2005) Final Exam (100 pts)

Accredited Laboratory

New Advances using Handheld XRF Technology for the Prevention of Flow-Accelerated Corrosion (FAC)

Elements. The periodic table organizes elements by their chemical properties. Main Idea. Key Terms group period nonmetal family metal metalloid

GeoArch. Report 2015/01. Assessment of archaeometallurgical residues from Greenpark Residential Site, Port Talbot

SOIL MECHANICS Assignment #2: Soil Classification Solution.

Metal Reference Materials - SOLID

Arsenic Mobility under a Neutral Mine Drainage Environment in a Gold-Mine Tailings Dam

Abandoned mine slags analysis by EPMA WDS X- ray mapping

GTK Mineralogical Laboratory

AP Chemistry A. Allan Chapter 18 - The Representative Elements: Groups 1A through 4A

AM metal powders from LPW. Comprehensive range of metal powders optimised for use on all AM machines. 24 hours from order to dispatch

9 Mineral particles, mainly windblown dust from local soil: Li, A1, Sc, (V), Cr, Fe, (Co), Ga, Y, La, Sm, Th, U;

Beneficiation of marble from Griekwastad, Northern Cape Province

Advances in quantitative Rietveld Analysis XRPD for Minerals and Mining Applications

WHERE SHOULD ALUMINUM GO IN THE PERIODIC TABLE?.pdf

AMIS0283. Certified Reference Material. Multi element-pgm ore Sudbury Basin, Canada. Certificate of Analysis

Multiphase analysis - combining EDS and EBSD

BIND-AMOR: Flash-calcined dredging sediments of the AMORAS mechanical dewatering plant al cement substitute

Creating Value in Mining: How XRF Delivers Accuracy and Precision in Daily Routine

Standard Operation Procedure. Analysis of Major, Minor and Trace Elements in Soil and Sediment Samples with ICP-OES and ICP-MS

Managing Soil Fertility for Sustainable Agriculture in Taihang Mountain Piedmont, North China

Way ahead: which decisions to take?

ANALYSIS OF ARTEMISIA ARBORESCENS L. GROWTH RATE ON CONTAMINATED SUBSTRATES USING A THERMODYNAMIC APPROACH.

E2S Denver Convention Center Denver, Colorado

Application of Drilling Mud Waste as Raw Material In Building Brick Making

INDEX DETAILED. STP292-EB/Jan. 1962

Technological Aspects of Metal Nanopowders

Transcription:

1 Supporting Information 2 3 4 Effects of soil composition and mineralogy on the bioaccessibility of arsenic from tailings and soil in gold mine districts of Nova Scotia 5 6 7 Louise Meunier, Stephen R. Walker, Joanna Wragg, Michael B. Parsons, Iris Koch, Heather E. Jamieson, Kenneth J. Reimer 8 9 Environmental Science & Technology 10 11 12 13 Number of pages: 11 Number of figures: 4 Number of tables: 2 14 Table S1: Description of selected samples Table S2: Results of the quality control tests page S2 page S4 Figure S1: Arsenic bioaccessibility and total arsenic concentration of tailings and soil samples Figure S2: Arsenic bioaccessibility of different particle size fractions Figure S3: Principal components analysis Figure S4: Normalized arsenic K-edge profiles of selected samples page S5 page S7 page S10 page S11 15 16 Note: Literature cited corresponds to numbered list in main document. S1

1 Table S1. Description of selected samples a. Part I: 2005 Collection Sample b Field Description Bulk c arsenic concentration (mg kg -1 ) Proportion < 150 μm (weight %) XRD analysis d (< 150 μm) 2 CAR1 broken grey-green hardpan 61,000 18 Qtz, Ms, 12Sc, Pl, 6Kn, Chl CAR2 sulphide-rich silty tailings 250,000 14 56Apy, Qtz, 14Py, Pl, Ms, Ch CAR3 red-brown sandy tailings. 12,000 12 Qtz, Ms, Pl, Ch CAR4 red-brown sandy tailings 6,700 12 Qtz, Ms, Pl, Ch, Ank CAR5 red-brown tailings, hardpan flakes 48,000 16 Qtz, Pl, Ms, Ch GD1 green, oxidized mill concentrate 190,000 30 84Sc, Ms, Qtz GD2 grey tailings with hardpan chips 13,000 29 Qtz, Pl, Ms, Chl, 6Sc GD3 yellow-green broken hardpan 87,000 18 Qtz, Ms, 10Sc, Pl, Chl GD4 light grey-brown sandy tailings 14,000 7.0 Qtz, Ms, Pl, Chl GD5 v. fine grained, green-grey tailings 5,400 61 Qtz, Ms, Chl, Pl, Cal MG1 brown tailings with hardpan chips 40,000 11 Qtz, Ms, Pl, Chl, 6Sc MG2 brown sandy tailings over hardpan 17,000 9.0 Qtz, Ms, Chl, Vrm, Pl MG3 fine grained, red-brown tailings 19,000 21 Qtz, Vrm, Ms, Chl, Pl, 6Phr MG4 grey silty tailings in wetland area 19,000 18 Qtz, Vrm, Ms, Chl, Pl, 2Apy MG6 orange-brown, B-horizon soil 210 16 Qtz, Ms, Pl, Chl NB1 grey sandy tailings with silty layers 300 17 Qtz, Ms, Cal, Pl, Chl NB3 grey sandy tailings, minor silty clay 630 25 Qtz, Ms, Cal, Pl, Chl NB6A brown-grey sandy tailings (0-15 cm) 460 16 Qtz, Ms, Cal, Pl, Chl NB6B red-brown sandy tailings (15-35 cm) 620 8.0 Qtz, Ms, Pl, Chl NB6C medium grey tailings (35-65 cm) 4,200 9.0 Qtz, Ms, Cal, Apy, Chl, Pl NB7 light grey sandy tailings 300 23 Qtz, Ms, Pl, Cal, Chl NB8 light grey clay-rich tailings 580 36 Qtz, Ms, Cal, Pl, Chl, Apy NB10 red-brown sandy tailings 1,600 42 Qtz, Ms, Pl, 5Hem, Chl NB11A red-brown sandy tailings 3,800 16 Qtz, Ms, 25Hem, Pl, Chl NB11B sandy tailings, light green hardpan 5,300 22 Qtz, Ms, Pl, Chl, 3Hem NB12 light brown, B-horizon soil 4,200 11 Qtz, Ms, Pl, Chl, Rt NB13 grey-brown, A/B-horizon soil 290 7.0 Qtz, Ms, Pl, Chl OLD4 sandy, olive-brown tailings 21,000 19 Qtz, Ms, Pl, Chl, 4Jr WB1 grey sandy tailings, rusty lenses 29,000 13 Qtz, Ms, Chl, Pl (continued next page) S2

1 Table S1. Continued. Part II: 2006 Collection e : Sample Field Description Bulk c arsenic concentration (mg kg -1 ) Proportion of < 150 μm (weight %) XRD analysis (< 150 μm) 2 3 GD61 dark grey-brown sandy tailings 5,200 12 n/p f GD62 grey-brown coarse sandy tailings 3,100 7.0 n/p GD65 sandy tailings, hardpan chips 7,200 9.0 n/p GD67 brown sandy tailings, hardpan chips 4,200 12 n/p MG62 grey sandy tailings, hardpan chips 25,000 15 n/p MG64 brown, fine sandy tailings on jump 14,000 26 n/p MG67 grey-green sandy tailings on jump 9,100 22 n/p MG68 green-brown sandy tailings on jump 9,200 28 n/p MG614 sandy tailings & gravel on dirt road 1,000 16 n/p a Visual characteristics, bulk arsenic concentration and grain size proportion (weight percentage of the < 150 μm particle size fraction in the bulk sample) are presented for samples collected in 2005 and 2006 (3). b Sample names are described in the main document. c From unsieved material. d X-ray diffraction (XRD) analysis was performed on the < 150 μm particle size fraction of samples from the 2005 collection, and is reported in decreasing order of abundance based on semi-quantitative fitting of XRD patterns, including an approximate percent (based on summation of area under each peak, taking into account overlaps) for the arsenic-bearing phases, where detected (24). Arsenic-bearing minerals are indicated in bold. Calcium carbonate minerals are indicated in italics. Abbreviations: Ank = ankerite; Akg = akaganeite; Apy = arsenopyrite; Cal = calcite; Chl = chlorite; Hem = hematite; Jr = jarosite; Kn = kankite; Ms = muscovite; Phr = pharmacosiderite; Pl = plagioclase; Py = pyrite; Rt = rutile; Qtz = quartz; Sc = scorodite; Vrm = vermiculite. e Information on the 2006 collection is included in this table to complement Figure S2 (page S7). g XRD analysis was not performed (n/p) on the 2006 samples. S3

Table S2: Results of quality control tests a. Medium Measurement Method Experiment n b Range Average Blank c Arsenic concentration PBET P1, P2 All L:S 19 < 3 μg L -1 Spike recovery d Arsenic recovery (%) PBET P1, P2 L:S = 100:1 6 93 116% 98% Standard solution e Arsenic recovery (%) Instrument 36 85 101% 93% SRM NIST2710 Bioaccessible arsenic (%) PBET P1 Control limits f (L:S = 100:1) 23 24 57% 40% SRM NIST2710 Bioaccessible arsenic (%) PBET P2 Control limits (L:S = 100:1) 37 23 49% 36% SRM NIST2710 Bioaccessible arsenic (%) PBET P1 L:S = 100:1 5 23 45% 39% SRM NIST2710 Bioaccessible arsenic (%) PBET P2 L:S = 100:1 5 31 38% 38% SRM NIST2710 Bioaccessible arsenic (%) PBET P1 All other L:S 9 31 51% 37% SRM NIST2710 Bioaccessible arsenic (%) PBET P2 All other L:S 9 33 62% 46% 1 Duplicate pairs RPD g, bioaccessible arsenic (%) PBET P1, P2 All L:S 38 0.22 20% 7.2% a Tests include blanks, duplicates and NIST 2710 as standard reference material (SRM) used in bioaccessibility extractions, as well as matrix spikes and a calibration check solution for ICP-MS analysis. Tests were performed on < 150 μm particle size fraction from samples described in the main document, except for the SRM, which is < 70 μm. All other abbreviations are described in the main document. b Number of replicates. c The detection limit on the ICP-MS instrument is 1 µg L -1, based on three standard deviations of eight replicate measurements of a standard solution; 14 of the 19 blanks returned numbers below the instrument detection limit. The limit of quantification for this series of tests is 3 µg L -1. d Spike recovery was calculated from the analysis of 100 ppb L -1 potassium arsenate (KH 2 AsO 4, Fluka reagent grade) in blank PBET solution added immediately before analysis. e Standard solutions used in the ICP-MS analysis include both 50 ppb and 750 ppb multi-element solutions (PlasmaCAL), prepared from a different source solution than the ICP- MS calibration solutions. f Control limits for SRM are average ± three standard deviations for all laboratory results recorded between 2001 and 2008. g Relative percent difference (RPD) is calculated as 100 (result of primary sample result of duplicate sample) average -1. S4

50 1000000 percent arsenic bioaccessibility 40 30 20 10 % percent As bioaccessibility arsenic bioaccessibility As total concentration arsenic concentration 100000 10000 1000 100 10 0 1 NB13 MG6 NB1 NB7 NB3 NB6A NB8 NB10 NB11B NB6C NB11A GD5 NB6B NB12 CAR4 WB1 GD2 CAR3 MG4 MG3 MG2 OLD4 GD3 GD4 MG1 CAR5 CAR1 GD1 CAR2 total arsenic concentration (mg kg-1) samples in increasing order of bulk arsenic concentration Figure S1. Percent arsenic bioaccessibility and total arsenic concentration of samples collected in 2005 in Nova Scotia. The data illustrated in this figure is presented in Table 1 (main document). Results are for the < 150 µm particle size fraction. The percent arsenic bioaccessibility is chosen as the higher of either P1 (gastric phase) or P2 (gastric + intestinal phase), and is calculated as 100 bioaccessible arsenic concentration (total arsenic concentration) -1. S5

Effect of Selected Particle Size. Bioaccessibility results may be affected by particle size, making the choice of particle size important in estimating arsenic bioaccessibility (9, 16). Limited sample material from the 2005 collection (described in the main document) precluded its use in a particle size study. Instead, samples were selected from a 2006 collection (3). The 2006 sample set (n = 27) was assembled following a similar collection pattern as the samples collected in 2005 at the Goldenville and Montague sites. Nine samples (four from Goldenville and five from Montague) were selected for the particle size study, representing a range of arsenic concentrations and bioaccessibilities (Table S1). The requirement to sieve the bulk material to three particle size fractions (resulting in small subsample sizes) limited this series of bioaccessibility tests to the gastric phase (P1) only. The extraction procedures used in the particle size study are the same as described in the main document, and the quality controls (9 duplicates, 6 blanks, 6 standard reference materials) met the criteria described in Table S2. For this series of tests, the relative percent difference (RPD) between duplicates ranged from 0.59 to 4.9% (average 4.3%). The percent arsenic bioaccessibility results were calculated with respect to total arsenic concentrations measured in each particle size fraction (Figure S2). S6

total arsenic concentration (mg kg-1) percent arsenic bioaccessibility 25 20 15 10 5 0 100000 80000 60000 40000 20000 0 A <250 µm <150 µm <45 µm GD62 GD67 GD61 GD65 MG614MG68 MG67 MG64 MG62 samples in increasing order of bulk arsenic concentration B GD62 GD67 GD61 GD65 MG614MG68 MG67 MG64 MG62 samples in increasing order of bulk arsenic concentration (mg kg-1) bioaccessible arsenic concentration 5000 4000 3000 2000 1000 0 C GD62 GD67 GD61 GD65 MG614MG68 MG67 MG64 MG62 samples in increasing order of bulk arsenic concentration Figure S2. Bioaccessibility and concentration of arsenic in different particle size fractions. The percent arsenic bioaccessibility (Panel A), total arsenic concentration (Panel B), and bioaccessible arsenic concentration (Panel C) are shown for selected 2006 samples sieved to three particle size fractions (< 250 m, < 150 m and < 45 m) tested by PBET in the gastric phase (P1) only. Error bars (± 4.3% for the bioaccessibility tests, and 5.0% for the total arsenic concentrations) represent the average of the relative percent difference between duplicates for this series of tests. S7

Principal Components Analysis (PCA). Bulk major and trace element concentrations (Ag, Al, As, Au, Ba, Bi, Ca, Ce, Co, Cr, Cs, Cu, Fe, Ga, Hg, K, La, Li, Mg, Mn, Mo, Na, Ni, P, Pb, Rb, S, Sb, Se, Sn, Te, Th, Ti, Tl, V, W, Y, Zn and Zr), inorganic (IC) and organic carbon (OC) concentrations, and arsenic bioaccessibility results (BiAc) obtained for the 29 samples collected in 2005 (for the < 150 μm particle size fraction) were placed in a 42 29 matrix. The PCA results are presented in two related maps (Figure S3: Maps A and B). The factor loadings, shown on Map A, express the influence of the original variables on each sample, which are spatially represented according to factor scores on Map B. SYSTAT TM 10 was used to treat mean centered and scaled matrices, and each correlation matrix was generated with default Eigenvalues of 1. The two first principal components (used to construct Figure S3) account for nearly 60% of the variance. Three main groups of samples were revealed when samples were plotted according to factor scores. Groups were labelled 1, 2 and 3 from top to bottom and generally include samples from the same location. Group 1 contains all the Montague samples, the Whiteburn sample, and four of the North Brookfield samples (NB11A, 11B, 12 and 13). Group 2 includes the rest of the North Brookfield samples and all of the Goldenville samples, except for GD1. Group 3 contains all of the Caribou samples except CAR2. Sample OLD4 stands outside of Group 1. The relative position of the three groups along the vertical axis may correlate with the loading positions of factors potassium and aluminum, which may reflect the proportion of muscovite (Figure S3, Map A) in these samples. With the exception of the two outliers (GD1 and CAR2 discussed below), samples have barium, caesium, rubidium and thallium concentrations (3) that systematically increase from site to site and correspond to the PCA distribution observed. Barium, caesium and rubidium are known to be common trace elements in micas. Thallium can also be present as it S8

exhibits similar geochemical behaviour to potassium. In addition, the OLD4 sample, which plots above all other samples on the PCA, contains the highest concentrations of barium, caesium, rubidium and thallium 3 to 9 times the mean of all samples (excluding GD1 and CAR2). Therefore, the geographical trend in the PCA data is likely due to variation in the trace element chemistry of mica minerals (e.g. muscovite) from location to location. Samples CAR2 and GD1 stand apart from the groups and are closer to the arsenic loading position. These contain arsenic in concentrations nearly an order of magnitude higher than the average concentrations: CAR2 (310,000 mg kg -1, 31 wt%) and GD1 (210,000 mg kg -1, 21 wt%). The division of the North Brookfield samples between Groups 1 and 2 (Figure S3, Map B) may be attributed to different ore treatments used at this location. Samples NB6B, NB6C, NB11A, NB11B and NB12 were collected near the former processing plant and contain > 4000 mg kg -1 arsenic, although not all of these fall within the same Group (samples NB6B and NB6C are in Group 2, whereas the other three are in Group 1). This suggests that the PCA Groups may correspond to soil composition based on mining process history as well as the aforementioned similar geographical location. The arsenic bioaccessibility results were compared with Groups 1, 2 and 3. Although the percent arsenic bioaccessibility is lower than the average of 13% for Group 3 (from 0.5 to 6.8%), the bioaccessibility results fluctuate within each Group. Results vary from 2.5 to 29% for Group 1, and from 0.40 to 49% for Group 2. The PCA analysis did not reveal groupings that correlate with either the bioaccessibility results or the detailed arsenic mineralogy information described in the S9

main document. For example, the five Montague samples tested display a wide range of arsenic mineralogy (as detailed in Table 2, main document), and the percent arsenic bioaccessibility varied from 2.5 to 12%; however, these samples were all found within Group 1 of the PCA analysis (Figure S3, Map B). Overall, no PCA groupings emerged to explain the arsenic bioaccessibility results (in terms of percentage or as a concentration) for the samples tested. Factor 2 (16%) 1.0 0.5 A Sn Pb Fe Co NI Te S Au Bi Sb Ag W Cu Hg BiAc Rb Cs Ba OC Ga Cr V Ti Al Na Tl K Li Zn IC Th Mg As 0 WB1 Mn 0.0 GD1 Mo P 2 Ce La CAR5 CAR1 Zr -1 Se Y CAR4 3 Ca CAR3-0.5-2 -1.0-0.5 0.0 0.5 1.0-5 -4-3 -2-1 0 1 Factor 1 (37%) 3 2 1 B CAR2 OLD4 MG6 MG4 NB12 MG3 NB13 1 MG2 NB11B MG1 NB11A NB10 GD5 Caribou Goldenville Montague North Brookfield Oldham Whiteburn Figure S3: Principal components analysis. Elemental analysis and bioaccessibility tests results (mean centred and scaled) for the < 150 μm particle size fraction of the 29 samples from the 2005 collection were used in this principal components analysis. Groups identified by the numbers 1, 2 and 3, generally reflect sample location. The percent arsenic bioaccessibility varies within each Group: 2.5 to 29% for Group 1; 0.4 to 49% for Group 2; and 0.5 to 6.8% for Group 3. Factor loadings are presented in Map A, and factor scores for each sample in Map B. The one or two-letter code in Map A corresponds to element names, except: BiAc = arsenic bioaccessibility; OC = organic carbon; IC = inorganic carbon. Sample labels in Map B are described in the main document. S10

Normalized Absorbance K-Arsenate Yukonite Scorodite CAR1 CAR5 GD1 MG1 NB1 NB6A NB7 NB10 NB12 OLD4 WB1 NB8 NB6C Arsenopyrite As 1- As 3+ As 5+ 11.860 11.865 11.870 11.875 11.880 11.885 11.890 Photon Energy (kev) Figure S4. Normalized arsenic K-edge profiles of selected samples. Analysis of samples from the 2005 collection (described in the main document) and reference arsenic compounds: potassium arsenate (KH 2 AsO 4, Fluka reagent grade); yukonite and scorodite (samples M990 and M6303 respectively, from Miller Museum, Queen s University); arsenopyrite, (FeAsS, Ninas de Panasqueira, Portugal (Ward s Natural Science)). The arsenic K-edge shifts to higher energies with increased oxidation state, as shown with the vertical lines plotted at peak position for three arsenic oxidation states (As 1-, As 3+ and As 5+ ), based on the spectra of arsenopyrite (11,867.6 ev), arsenic trioxide (11,871.7 ev) and potassium arsenate (11,875.3 ev), respectively. S11